{ "total": 740, "page": 1, "pageSize": 740, "timestamp": "2026-06-02T17:41:16.798Z", "query": "", "results": [ { "bibjson": { "title": "Curriculum Innovation: Project-Based Learning in Engineering Education", "author": [ { "name": "Dr. Tobias Meier", "affiliation": "ETH Zurich" }, { "name": "Dr. Zeynep Yılmaz", "affiliation": "Middle East Technical University" } ], "abstract": "This study investigates undergraduate mechanical engineering through the lens of curriculum innovation: project-based learning in engineering education. We adopt a sequential explanatory design drawing on 3,764 experimental units collected between 2018 and 2020, and apply two-year curricular redesign with cohort comparison to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach capstone-project quality scores higher by 22%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in undergraduate mechanical engineering. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1000" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1000", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "1", "start_page": "1", "end_page": "18", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "curriculum", "project-based learning", "engineering education", "pedagogy", "innovation" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Wearable Devices for Chronic Disease Monitoring", "author": [ { "name": "Dr. Thomas Lockwood", "affiliation": "University of Oxford" }, { "name": "Dr. Cian Ryan", "affiliation": "University College Cork" } ], "abstract": "This study investigates type-2 diabetes management through the lens of wearable devices for chronic disease monitoring. We adopt a prospective observational study drawing on 3,339 facilities collected between 2018 and 2020, and apply continuous-glucose-monitor integration with mobile coaching to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach HbA1c reduction of 0.9% at 24 weeks, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in type-2 diabetes management. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1001" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1001", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "1", "start_page": "19", "end_page": "33", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "wearables", "chronic disease", "remote monitoring", "cardiovascular", "diabetes" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Urban Migration Patterns and Community Integration", "author": [ { "name": "Dr. Shira Shapira", "affiliation": "Weizmann Institute of Science" }, { "name": "Dr. Pieter Janssen", "affiliation": "Delft University of Technology" } ], "abstract": "This study investigates secondary-city migration corridors through the lens of urban migration patterns and community integration. We adopt a longitudinal cohort study drawing on 1,492 records collected between 2018 and 2020, and apply longitudinal panel of 4,500 households to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach integration-index gains of 19% with formal-housing access, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in secondary-city migration corridors. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1002" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1002", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "1", "start_page": "34", "end_page": "51", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "urban migration", "community integration", "sociology", "demographics", "social cohesion" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Quantum Algorithms for Combinatorial Optimization Problems", "author": [ { "name": "Dr. Arjun Nair", "affiliation": "Jawaharlal Nehru University" }, { "name": "Dr. Salma Abdelrahman", "affiliation": "Ain Shams University" } ], "abstract": "This study investigates vehicle routing instances through the lens of quantum algorithms for combinatorial optimization problems. We adopt a systematic review and meta-analysis drawing on 2,456 records collected between 2018 and 2020, and apply Quantum Approximate Optimization Algorithm to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach solution quality within 4% of classical optima for small instances, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in vehicle routing instances. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1003" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1003", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "1", "start_page": "52", "end_page": "69", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "quantum computing", "optimization", "QAOA", "NISQ", "combinatorics" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Renewable Energy Policy and the Just Transition", "author": [ { "name": "Dr. Emma MacDonald", "affiliation": "University of British Columbia" }, { "name": "Dr. Tobias Steiner", "affiliation": "University of Geneva" } ], "abstract": "This study investigates coal-dependent regional economies through the lens of renewable energy policy and the just transition. We adopt a longitudinal cohort study drawing on 1,524 records collected between 2018 and 2020, and apply policy-scenario modeling with stakeholder workshops to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach identification of 7 transition-readiness indicators, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in coal-dependent regional economies. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1004" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1004", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "1", "start_page": "70", "end_page": "85", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "renewable energy", "policy", "just transition", "sustainability", "equity" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Leadership Styles and Employee Engagement: A Cross-Cultural Study", "author": [ { "name": "Dr. Salma Abdelrahman", "affiliation": "Alexandria University" }, { "name": "Dr. Kamau Wairimu", "affiliation": "Kenyatta University" } ], "abstract": "This study investigates professional-services firms across four countries through the lens of leadership styles and employee engagement: a cross-cultural study. We adopt a longitudinal cohort study drawing on 1,914 experimental units collected between 2018 and 2020, and apply multilevel regression with cultural moderators to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach transformational leadership β = 0.52 on engagement, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in professional-services firms across four countries. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1005" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1005", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "1", "start_page": "86", "end_page": "103", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "leadership", "employee engagement", "cross-cultural", "HRM", "organizational behavior" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Precision Medicine Approaches in Cancer Treatment", "author": [ { "name": "Dr. So-yeon Han", "affiliation": "Yonsei University" }, { "name": "Dr. Chioma Onyekachi", "affiliation": "University of Lagos" } ], "abstract": "This study investigates metastatic colorectal cohorts through the lens of precision medicine approaches in cancer treatment. We adopt a prospective observational study drawing on 3,067 observations collected between 2018 and 2020, and apply tumor-mutational profiling with matched-therapy assignment to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach median progression-free survival extended by 4.7 months, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in metastatic colorectal cohorts. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1006" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1006", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "1", "start_page": "104", "end_page": "121", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "precision medicine", "oncology", "genomics", "targeted therapy", "biomarkers" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Deep Learning for Image Classification in Medical Imaging Applications", "author": [ { "name": "Dr. Nora Steiner", "affiliation": "EPFL" }, { "name": "Dr. Valentina Gómez", "affiliation": "University of Buenos Aires" } ], "abstract": "This study investigates medical imaging through the lens of deep learning for image classification in medical imaging. We adopt a systematic review and meta-analysis drawing on 1,768 records collected between 2018 and 2020, and apply convolutional neural network ensemble to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 94.6% top-1 accuracy on a held-out test set, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in medical imaging. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1007" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1007", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "1", "start_page": "122", "end_page": "136", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "deep learning", "image classification", "convolutional networks", "feature extraction", "computer vision" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Hydrogen Fuel Cell Performance Optimization for Heavy-Duty Transport", "author": [ { "name": "Dr. Andrea Ramírez", "affiliation": "CINVESTAV" }, { "name": "Dr. Folake Balogun", "affiliation": "Ahmadu Bello University" } ], "abstract": "This study investigates long-haul truck powertrains through the lens of hydrogen fuel cell performance optimization for heavy-duty transport. We adopt a quasi-experimental design drawing on 2,236 facilities collected between 2018 and 2020, and apply membrane-electrode assembly redesign with thermal control to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach stack efficiency raised to 58%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in long-haul truck powertrains. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1008" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1008", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "1", "start_page": "137", "end_page": "151", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "hydrogen", "fuel cells", "heavy-duty transport", "clean energy", "efficiency" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Pharmacological Innovations in Treatment of Antibiotic-Resistant Infections", "author": [ { "name": "Dr. Si Ying Chua", "affiliation": "Nanyang Technological University" }, { "name": "Dr. Megan Green", "affiliation": "Northwestern University" } ], "abstract": "This study investigates carbapenem-resistant Enterobacterales through the lens of pharmacological innovations in treatment of antibiotic-resistant infections. We adopt a mixed-methods design drawing on 2,026 facilities collected between 2018 and 2020, and apply in-vitro screening of 1,200 compound candidates to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach two lead compounds with MIC ≤ 1 µg/mL, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in carbapenem-resistant Enterobacterales. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1009" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1009", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "1", "start_page": "152", "end_page": "167", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "antibiotics", "drug resistance", "pharmacology", "infectious disease", "novel therapeutics" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Healthcare Worker Burnout: Predictors and Mitigation Strategies", "author": [ { "name": "Dr. Mehmet Şahin", "affiliation": "Middle East Technical University" }, { "name": "Dr. Yong Kai Wong", "affiliation": "Singapore Management University" } ], "abstract": "This study investigates tertiary-hospital nursing staff through the lens of healthcare worker burnout: predictors and mitigation strategies. We adopt a comparative case-study approach drawing on 1,554 cases collected between 2018 and 2020, and apply longitudinal survey with structural-equation modeling to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach psychological-safety climate β = -0.47 on burnout, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in tertiary-hospital nursing staff. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1010" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1010", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "2", "start_page": "1", "end_page": "17", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "burnout", "healthcare workers", "occupational health", "resilience", "wellbeing" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Anomaly Detection in Cybersecurity Using Unsupervised Learning", "author": [ { "name": "Dr. Sophia Ferguson", "affiliation": "McMaster University" }, { "name": "Dr. Pablo Vargas", "affiliation": "Complutense University of Madrid" } ], "abstract": "This study investigates enterprise network traffic through the lens of anomaly detection in cybersecurity using unsupervised learning. We adopt a randomized controlled trial drawing on 3,022 experimental units collected between 2018 and 2020, and apply variational autoencoder with reconstruction-error scoring to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach ROC-AUC of 0.948 on the CICIDS dataset, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in enterprise network traffic. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1011" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1011", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "2", "start_page": "18", "end_page": "32", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "cybersecurity", "anomaly detection", "unsupervised learning", "autoencoders", "intrusion detection" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Educational Equity in Multilingual Classrooms", "author": [ { "name": "Dr. Agnieszka Wójcik", "affiliation": "Warsaw University of Technology" }, { "name": "Dr. Lucía Sosa", "affiliation": "University of Buenos Aires" } ], "abstract": "This study investigates immigrant-receiving urban districts through the lens of educational equity in multilingual classrooms. We adopt a mixed-methods design drawing on 3,032 observations collected between 2018 and 2020, and apply policy analysis combined with classroom observation to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach scaffolded multilingual instruction narrowed reading gaps by 31%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in immigrant-receiving urban districts. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1012" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1012", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "2", "start_page": "33", "end_page": "49", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "educational equity", "multilingual", "language education", "diversity", "access" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Cybercrime Legislation and Cross-Border Enforcement Challenges", "author": [ { "name": "Dr. Agus Setiawan", "affiliation": "Bandung Institute of Technology" }, { "name": "Dr. Eoin Kelly", "affiliation": "NUI Galway" } ], "abstract": "This study investigates transnational ransomware investigations through the lens of cybercrime legislation and cross-border enforcement challenges. We adopt a prospective observational study drawing on 3,754 instances collected between 2018 and 2020, and apply case-study analysis of 18 multi-jurisdiction prosecutions to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach average MLAT response time of 14 months identified as primary bottleneck, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in transnational ransomware investigations. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1013" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1013", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "2", "start_page": "50", "end_page": "67", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "cybercrime", "international law", "enforcement", "jurisdiction", "legal frameworks" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Corporate Social Responsibility and Financial Performance", "author": [ { "name": "Prof. Thandi Nkosi", "affiliation": "University of Cape Town" }, { "name": "Dr. Eitan Friedman", "affiliation": "Hebrew University of Jerusalem" } ], "abstract": "This study investigates publicly listed firms in emerging markets through the lens of corporate social responsibility and financial performance. We adopt a quasi-experimental design drawing on 1,608 participants collected between 2018 and 2020, and apply fixed-effects panel regression on 600 firm-years to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach CSR-score top-quartile firms outperform by 4.2% ROA, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in publicly listed firms in emerging markets. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1014" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1014", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "2", "start_page": "68", "end_page": "83", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "CSR", "financial performance", "sustainability", "ESG", "stakeholder theory" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Supply Chain Resilience in the Face of Global Disruptions", "author": [ { "name": "Dr. Takashi Saito", "affiliation": "Waseda University" }, { "name": "Dr. Lakshmi Nair", "affiliation": "Indian Institute of Science" } ], "abstract": "This study investigates consumer-electronics supply networks through the lens of supply chain resilience in the face of global disruptions. We adopt a prospective observational study drawing on 871 subjects collected between 2018 and 2020, and apply structural-equation modeling on 412 firm responses to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach supplier diversification effect size β = 0.41, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in consumer-electronics supply networks. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1015" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1015", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "2", "start_page": "84", "end_page": "99", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "supply chain", "resilience", "risk management", "global trade", "disruption" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Antitrust Law in the Age of Digital Platforms", "author": [ { "name": "Dr. Diego Fernández", "affiliation": "National University of Córdoba" }, { "name": "Dr. Ifeanyi Adeyemi", "affiliation": "Covenant University" } ], "abstract": "This study investigates two-sided digital marketplaces through the lens of antitrust law in the age of digital platforms. We adopt a quasi-experimental design drawing on 2,409 records collected between 2018 and 2020, and apply economic-modeling-informed legal analysis to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach proposal of three new theories of harm, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in two-sided digital marketplaces. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1016" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1016", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "2", "start_page": "100", "end_page": "115", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "antitrust", "competition law", "digital platforms", "monopoly", "regulation" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Quantum Algorithms for Combinatorial Optimization Problems: A Comparative Study (2020)", "author": [ { "name": "Dr. Ingrid Johansen", "affiliation": "University of Bergen" }, { "name": "Dr. Nicolás Acosta", "affiliation": "Universidad Austral" } ], "abstract": "This study investigates vehicle routing instances through the lens of quantum algorithms for combinatorial optimization problems. We adopt a mixed-methods design drawing on 2,301 subjects collected between 2018 and 2020, and apply Quantum Approximate Optimization Algorithm to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach solution quality within 4% of classical optima for small instances, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in vehicle routing instances. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1017" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1017", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "2", "start_page": "116", "end_page": "133", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "quantum computing", "optimization", "QAOA", "NISQ", "combinatorics" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Autonomous Vehicle Perception Systems Using Multi-Sensor Fusion", "author": [ { "name": "Dr. Meera Sharma", "affiliation": "Indian Institute of Technology Madras" }, { "name": "Dr. Madison McKenzie", "affiliation": "University of Toronto" } ], "abstract": "This study investigates urban driving scenarios through the lens of autonomous vehicle perception systems using multi-sensor fusion. We adopt a randomized controlled trial drawing on 2,537 instances collected between 2018 and 2020, and apply Kalman-filter fusion of LiDAR, camera, and radar streams to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach object-detection mAP of 0.87 across 12 weather conditions, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in urban driving scenarios. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1018" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1018", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "2", "start_page": "134", "end_page": "149", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "autonomous vehicles", "sensor fusion", "LiDAR", "perception", "robotics" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Hydrogen Fuel Cell Performance Optimization for Heavy-Duty Transport: A Empirical Study (2020)", "author": [ { "name": "Dr. Ahmet Doğan", "affiliation": "Bilkent University" }, { "name": "Dr. Astrid Lindqvist", "affiliation": "Lund University" } ], "abstract": "This study investigates long-haul truck powertrains through the lens of hydrogen fuel cell performance optimization for heavy-duty transport. We adopt a sequential explanatory design drawing on 3,294 subjects collected between 2018 and 2020, and apply membrane-electrode assembly redesign with thermal control to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach stack efficiency raised to 58%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in long-haul truck powertrains. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1019" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1019", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "2", "start_page": "150", "end_page": "165", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "hydrogen", "fuel cells", "heavy-duty transport", "clean energy", "efficiency" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Urban Migration Patterns and Community Integration: A Cross-Sectoral Study (2020)", "author": [ { "name": "Dr. Niamh McCarthy", "affiliation": "NUI Galway" }, { "name": "Dr. Harrison Ashford", "affiliation": "University of Queensland" } ], "abstract": "This study investigates secondary-city migration corridors through the lens of urban migration patterns and community integration. We adopt a longitudinal cohort study drawing on 2,412 subjects collected between 2018 and 2020, and apply longitudinal panel of 4,500 households to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach integration-index gains of 19% with formal-housing access, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in secondary-city migration corridors. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1020" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1020", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "3", "start_page": "1", "end_page": "18", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "urban migration", "community integration", "sociology", "demographics", "social cohesion" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Computational Fluid Dynamics Analysis of Wind Turbine Blade Optimization", "author": [ { "name": "Dr. Astrid Andersen", "affiliation": "Norwegian Polar Institute" }, { "name": "Dr. Alessandro Bianchi", "affiliation": "University of Bologna" } ], "abstract": "This study investigates horizontal-axis turbine rotors through the lens of computational fluid dynamics analysis of wind turbine blade optimization. We adopt a quasi-experimental design drawing on 3,064 experimental units collected between 2018 and 2020, and apply RANS-based CFD coupled with a genetic optimizer to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 5.8% gain in annual energy production, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in horizontal-axis turbine rotors. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1021" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1021", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "3", "start_page": "19", "end_page": "34", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "CFD", "wind turbines", "aerodynamics", "blade design", "renewable energy" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Federated Learning for Privacy-Preserving Analytics in Hospital networks", "author": [ { "name": "Dr. Miguel González", "affiliation": "Tecnológico de Monterrey" }, { "name": "Dr. Lara Zimmermann", "affiliation": "RWTH Aachen University" } ], "abstract": "This study investigates hospital networks through the lens of federated learning for privacy-preserving analytics in hospital networks. We adopt a mixed-methods design drawing on 4,085 records collected between 2018 and 2020, and apply federated averaging with secure aggregation to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach comparable accuracy to centralized training (Δ < 1.5%), with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in hospital networks. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1022" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1022", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "3", "start_page": "35", "end_page": "51", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "federated learning", "privacy", "distributed systems", "differential privacy", "edge computing" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Digital Transformation and Organizational Agility", "author": [ { "name": "Dr. Paula Martínez", "affiliation": "Complutense University of Madrid" }, { "name": "Dr. Liam Larocque", "affiliation": "University of British Columbia" } ], "abstract": "This study investigates mid-sized service firms through the lens of digital transformation and organizational agility. We adopt a mixed-methods design drawing on 4,383 experimental units collected between 2018 and 2020, and apply longitudinal case-study comparison across 18 organizations to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach agility score gains of 2.3 points on a 7-point scale, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in mid-sized service firms. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1023" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1023", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "3", "start_page": "52", "end_page": "66", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "digital transformation", "organizational agility", "change management", "ICT", "strategy" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Assessment Reform: Authentic Assessment in Higher Education", "author": [ { "name": "Dr. Aditya Nair", "affiliation": "Tata Institute of Fundamental Research" }, { "name": "Dr. Elsa Sandberg", "affiliation": "KTH Royal Institute of Technology" } ], "abstract": "This study investigates professional graduate programs through the lens of assessment reform: authentic assessment in higher education. We adopt a randomized controlled trial drawing on 2,840 participants collected between 2018 and 2020, and apply design-based research over four iterations to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach student-perceived learning gains improved by 0.47 SD, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in professional graduate programs. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1024" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1024", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "3", "start_page": "67", "end_page": "83", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "assessment", "authentic assessment", "higher education", "evaluation", "competencies" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Customer Relationship Management Analytics for Service Industries", "author": [ { "name": "Dr. Carmen López", "affiliation": "Complutense University of Madrid" }, { "name": "Dr. Matteo Galli", "affiliation": "Politecnico di Milano" } ], "abstract": "This study investigates telecom subscriber bases through the lens of customer relationship management analytics for service industries. We adopt a longitudinal cohort study drawing on 1,435 participants collected between 2018 and 2020, and apply gradient-boosted churn modeling with uplift estimation to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach annual retention savings estimated at USD 12.4 million, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in telecom subscriber bases. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1025" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1025", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "3", "start_page": "84", "end_page": "98", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "CRM", "analytics", "customer retention", "service marketing", "churn" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Refugee Law and Statelessness in the 21st Century", "author": [ { "name": "Dr. Otieno Kipchoge", "affiliation": "Moi University" }, { "name": "Dr. Jian Chen", "affiliation": "Fudan University" } ], "abstract": "This study investigates protracted displacement contexts through the lens of refugee law and statelessness in the 21st century. We adopt a sequential explanatory design drawing on 3,738 instances collected between 2018 and 2020, and apply doctrinal review and field interviews in three host states to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach identification of four protection-gap categories, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in protracted displacement contexts. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1026" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1026", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "3", "start_page": "99", "end_page": "116", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "refugee law", "statelessness", "international law", "human rights", "migration" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Autonomous Vehicle Perception Systems Using Multi-Sensor Fusion: A Longitudinal Study (2020)", "author": [ { "name": "Dr. Aiko Yoshida", "affiliation": "University of Tokyo" }, { "name": "Dr. Wei Ming Lim", "affiliation": "National University of Singapore" } ], "abstract": "This study investigates urban driving scenarios through the lens of autonomous vehicle perception systems using multi-sensor fusion. We adopt a comparative case-study approach drawing on 3,732 subjects collected between 2018 and 2020, and apply Kalman-filter fusion of LiDAR, camera, and radar streams to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach object-detection mAP of 0.87 across 12 weather conditions, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in urban driving scenarios. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1027" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1027", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "3", "start_page": "117", "end_page": "131", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "autonomous vehicles", "sensor fusion", "LiDAR", "perception", "robotics" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Pharmacological Innovations in Treatment of Antibiotic-Resistant Infections: A Comprehensive Study (2020)", "author": [ { "name": "Dr. Maha Al-Otaibi", "affiliation": "King Saud University" }, { "name": "Dr. Jennifer Anderson", "affiliation": "UC Berkeley" } ], "abstract": "This study investigates carbapenem-resistant Enterobacterales through the lens of pharmacological innovations in treatment of antibiotic-resistant infections. We adopt a systematic review and meta-analysis drawing on 3,269 instances collected between 2018 and 2020, and apply in-vitro screening of 1,200 compound candidates to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach two lead compounds with MIC ≤ 1 µg/mL, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in carbapenem-resistant Enterobacterales. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1028" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1028", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "3", "start_page": "132", "end_page": "149", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "antibiotics", "drug resistance", "pharmacology", "infectious disease", "novel therapeutics" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Gender Inequality in the Workplace: A Cross-National Comparison", "author": [ { "name": "Prof. Ayşe Aydın", "affiliation": "Bogaziçi University" }, { "name": "Dr. Zoe Sutherland", "affiliation": "Monash University" } ], "abstract": "This study investigates white-collar employment in 14 countries through the lens of gender inequality in the workplace: a cross-national comparison. We adopt a sequential explanatory design drawing on 3,795 subjects collected between 2018 and 2020, and apply decomposition analysis of wage gaps to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach unexplained-gap component averages 9.4%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in white-collar employment in 14 countries. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1029" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1029", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "3", "start_page": "150", "end_page": "167", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "gender inequality", "workplace", "cross-national", "sociology", "labor" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Constitutional Reforms in Modern Democracies: Comparative Analysis", "author": [ { "name": "Dr. Diego Acosta", "affiliation": "University of Buenos Aires" }, { "name": "Prof. So-yeon Kang", "affiliation": "Korea University" } ], "abstract": "This study investigates post-2000 constitutional amendments through the lens of constitutional reforms in modern democracies: comparative analysis. We adopt a randomized controlled trial drawing on 2,484 facilities collected between 2018 and 2020, and apply comparative typology of 47 reform episodes to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach deliberative-procedure use correlates with reform durability (r = 0.52), with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in post-2000 constitutional amendments. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1030" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1030", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "4", "start_page": "1", "end_page": "15", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "constitutional law", "democracy", "reform", "comparative law", "governance" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Pharmacological Innovations in Treatment of Antibiotic-Resistant Infections: A Longitudinal Study (2020)", "author": [ { "name": "Dr. Henrik Andersen", "affiliation": "University of Oslo" }, { "name": "Dr. Lukas Bauer", "affiliation": "University of Bonn" } ], "abstract": "This study investigates carbapenem-resistant Enterobacterales through the lens of pharmacological innovations in treatment of antibiotic-resistant infections. We adopt a mixed-methods design drawing on 1,050 instances collected between 2018 and 2020, and apply in-vitro screening of 1,200 compound candidates to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach two lead compounds with MIC ≤ 1 µg/mL, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in carbapenem-resistant Enterobacterales. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1031" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1031", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "4", "start_page": "16", "end_page": "33", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "antibiotics", "drug resistance", "pharmacology", "infectious disease", "novel therapeutics" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Renewable Energy Integration in Smart Grid Systems", "author": [ { "name": "Dr. Jun Hao Teo", "affiliation": "National University of Singapore" }, { "name": "Prof. Astrid Hansen", "affiliation": "University of Bergen" } ], "abstract": "This study investigates regional distribution networks through the lens of renewable energy integration in smart grid systems. We adopt a randomized controlled trial drawing on 1,112 facilities collected between 2018 and 2020, and apply model-predictive dispatch with battery co-optimization to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 15% increase in renewables hosting capacity, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in regional distribution networks. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1032" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1032", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "4", "start_page": "34", "end_page": "49", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "smart grid", "renewable energy", "grid integration", "power electronics", "energy storage" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Entrepreneurial Ecosystems and Startup Success Factors", "author": [ { "name": "Dr. Oliver Lockwood", "affiliation": "University of Manchester" }, { "name": "Dr. Lena Fischer", "affiliation": "University of Bonn" } ], "abstract": "This study investigates tech-startup hubs in Asia and Europe through the lens of entrepreneurial ecosystems and startup success factors. We adopt a mixed-methods design drawing on 3,618 participants collected between 2018 and 2020, and apply qualitative comparative analysis of 35 ecosystem cases to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach talent-density configuration is necessary in 92% of high-growth cases, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in tech-startup hubs in Asia and Europe. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1033" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1033", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "4", "start_page": "50", "end_page": "65", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "entrepreneurship", "ecosystems", "startups", "venture capital", "innovation" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Renewable Energy Policy and the Just Transition: A Cross-Sectoral Study (2020)", "author": [ { "name": "Dr. Ciara McCarthy", "affiliation": "Trinity College Dublin" }, { "name": "Dr. Kavya Iyer", "affiliation": "Tata Institute of Fundamental Research" } ], "abstract": "This study investigates coal-dependent regional economies through the lens of renewable energy policy and the just transition. We adopt a longitudinal cohort study drawing on 713 subjects collected between 2018 and 2020, and apply policy-scenario modeling with stakeholder workshops to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach identification of 7 transition-readiness indicators, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in coal-dependent regional economies. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1034" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1034", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "4", "start_page": "66", "end_page": "80", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "renewable energy", "policy", "just transition", "sustainability", "equity" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Biodiversity Conservation in Tropical Forest Ecosystems", "author": [ { "name": "Dr. Henry Pemberton", "affiliation": "University of Oxford" }, { "name": "Prof. Mariana Ribeiro", "affiliation": "Federal University of Rio de Janeiro" } ], "abstract": "This study investigates Amazonian and Congo basin reserves through the lens of biodiversity conservation in tropical forest ecosystems. We adopt a sequential explanatory design drawing on 390 cases collected between 2018 and 2020, and apply camera-trap and acoustic survey across 38 plots to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach species richness 27% higher in community-managed plots, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in Amazonian and Congo basin reserves. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1035" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1035", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "4", "start_page": "81", "end_page": "96", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "biodiversity", "tropical forests", "conservation", "ecology", "ecosystems" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Nutritional Interventions for Childhood Obesity Prevention", "author": [ { "name": "Dr. Pei Shan Teo", "affiliation": "Nanyang Technological University" }, { "name": "Dr. Reem Al-Mutairi", "affiliation": "King Saud University" } ], "abstract": "This study investigates school-meal redesign programs through the lens of nutritional interventions for childhood obesity prevention. We adopt a mixed-methods design drawing on 351 observations collected between 2018 and 2020, and apply cluster-randomized trial with 4,300 children to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach BMI z-score reduction of 0.18 over the study year, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in school-meal redesign programs. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1036" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1036", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "4", "start_page": "97", "end_page": "112", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "nutrition", "childhood obesity", "public health", "intervention", "BMI" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Automated Code Generation Using Sequence-to-Sequence Models", "author": [ { "name": "Prof. Hessa Al-Mutairi", "affiliation": "King Saud University" }, { "name": "Dr. Roni Rosenberg", "affiliation": "Weizmann Institute of Science" } ], "abstract": "This study investigates Python utility functions through the lens of automated code generation using sequence-to-sequence models. We adopt a comparative case-study approach drawing on 1,283 participants collected between 2018 and 2020, and apply encoder-decoder transformer fine-tuned on GitHub corpora to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach pass@1 of 41% on a curated benchmark, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in Python utility functions. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1037" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1037", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "4", "start_page": "113", "end_page": "127", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "code generation", "program synthesis", "sequence models", "software engineering", "language models" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Autonomous Vehicle Perception Systems Using Multi-Sensor Fusion: A Comparative Study (2020)", "author": [ { "name": "Dr. Tao Chen", "affiliation": "Fudan University" }, { "name": "Dr. Andi Lestari", "affiliation": "Bandung Institute of Technology" } ], "abstract": "This study investigates urban driving scenarios through the lens of autonomous vehicle perception systems using multi-sensor fusion. We adopt a mixed-methods design drawing on 862 instances collected between 2018 and 2020, and apply Kalman-filter fusion of LiDAR, camera, and radar streams to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach object-detection mAP of 0.87 across 12 weather conditions, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in urban driving scenarios. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1038" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1038", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "4", "start_page": "128", "end_page": "145", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "autonomous vehicles", "sensor fusion", "LiDAR", "perception", "robotics" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Edge Computing Architectures for Real-Time IoT Data Processing", "author": [ { "name": "Dr. Priya Krishnan", "affiliation": "University of Delhi" }, { "name": "Dr. Andrea Hernández", "affiliation": "CINVESTAV" } ], "abstract": "This study investigates industrial sensor networks through the lens of edge computing architectures for real-time iot data processing. We adopt a systematic review and meta-analysis drawing on 2,836 cases collected between 2018 and 2020, and apply container-based microservice orchestration to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach end-to-end latency below 80 ms at the 95th percentile, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in industrial sensor networks. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1039" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1039", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "4", "start_page": "146", "end_page": "163", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "edge computing", "IoT", "real-time systems", "data streaming", "latency" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Precision Medicine Approaches in Cancer Treatment: A Comparative Study (2020)", "author": [ { "name": "Prof. Maya Katz", "affiliation": "Weizmann Institute of Science" }, { "name": "Dr. Mwangi Odhiambo", "affiliation": "Strathmore University" } ], "abstract": "This study investigates metastatic colorectal cohorts through the lens of precision medicine approaches in cancer treatment. We adopt a randomized controlled trial drawing on 4,350 subjects collected between 2018 and 2020, and apply tumor-mutational profiling with matched-therapy assignment to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach median progression-free survival extended by 4.7 months, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in metastatic colorectal cohorts. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1040" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1040", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "5", "start_page": "1", "end_page": "15", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "precision medicine", "oncology", "genomics", "targeted therapy", "biomarkers" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Water Resource Management Under Climate Variability", "author": [ { "name": "Dr. Maya Hartono", "affiliation": "Bandung Institute of Technology" }, { "name": "Dr. James Carter", "affiliation": "Harvard University" } ], "abstract": "This study investigates transboundary river basins through the lens of water resource management under climate variability. We adopt a mixed-methods design drawing on 3,078 records collected between 2018 and 2020, and apply coupled hydrologic and decision-support modeling to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach cooperative-allocation strategies cut shortage events by 41%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in transboundary river basins. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1041" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1041", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "5", "start_page": "16", "end_page": "31", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "water resources", "climate variability", "hydrology", "drought", "management" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Autonomous Vehicle Perception Systems Using Multi-Sensor Fusion: A Empirical Study (2020)", "author": [ { "name": "Dr. Julien Moreau", "affiliation": "École Polytechnique" }, { "name": "Dr. Avi Cohen", "affiliation": "Weizmann Institute of Science" } ], "abstract": "This study investigates urban driving scenarios through the lens of autonomous vehicle perception systems using multi-sensor fusion. We adopt a prospective observational study drawing on 2,128 participants collected between 2018 and 2020, and apply Kalman-filter fusion of LiDAR, camera, and radar streams to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach object-detection mAP of 0.87 across 12 weather conditions, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in urban driving scenarios. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1042" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1042", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "5", "start_page": "32", "end_page": "46", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "autonomous vehicles", "sensor fusion", "LiDAR", "perception", "robotics" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Reinforcement Learning Approaches for Adaptive Network Resource Allocation", "author": [ { "name": "Dr. Jun Hao Tan", "affiliation": "National University of Singapore" }, { "name": "Prof. Diego Romero", "affiliation": "National University of Córdoba" } ], "abstract": "This study investigates wireless network slicing through the lens of reinforcement learning approaches for adaptive network resource allocation. We adopt a systematic review and meta-analysis drawing on 2,077 participants collected between 2018 and 2020, and apply deep Q-network with prioritized replay to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 23% reduction in average packet latency, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in wireless network slicing. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1043" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1043", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "5", "start_page": "47", "end_page": "61", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "reinforcement learning", "networks", "resource allocation", "Q-learning", "optimization" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Computational Fluid Dynamics Analysis of Wind Turbine Blade Optimization: A Empirical Study (2020)", "author": [ { "name": "Dr. Magdalena Lewandowski", "affiliation": "Jagiellonian University" }, { "name": "Dr. Folake Achebe", "affiliation": "Covenant University" } ], "abstract": "This study investigates horizontal-axis turbine rotors through the lens of computational fluid dynamics analysis of wind turbine blade optimization. We adopt a sequential explanatory design drawing on 828 cases collected between 2018 and 2020, and apply RANS-based CFD coupled with a genetic optimizer to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 5.8% gain in annual energy production, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in horizontal-axis turbine rotors. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1044" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1044", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "5", "start_page": "62", "end_page": "79", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "CFD", "wind turbines", "aerodynamics", "blade design", "renewable energy" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Refugee Law and Statelessness in the 21st Century: A Empirical Study (2020)", "author": [ { "name": "Dr. Thandi van Wyk", "affiliation": "University of the Witwatersrand" }, { "name": "Dr. Lukas Lehmann", "affiliation": "EPFL" } ], "abstract": "This study investigates protracted displacement contexts through the lens of refugee law and statelessness in the 21st century. We adopt a randomized controlled trial drawing on 2,714 participants collected between 2018 and 2020, and apply doctrinal review and field interviews in three host states to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach identification of four protection-gap categories, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in protracted displacement contexts. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1045" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1045", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "5", "start_page": "80", "end_page": "95", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "refugee law", "statelessness", "international law", "human rights", "migration" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Trust in Institutions in the Digital Age", "author": [ { "name": "Dr. Bram Visser", "affiliation": "Erasmus University Rotterdam" }, { "name": "Dr. Roni Katz", "affiliation": "Weizmann Institute of Science" } ], "abstract": "This study investigates European public-opinion surveys through the lens of trust in institutions in the digital age. We adopt a comparative case-study approach drawing on 2,993 records collected between 2018 and 2020, and apply multilevel modeling across 24 countries to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach platform-news consumption explains 9% of trust variance, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in European public-opinion surveys. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1046" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1046", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "5", "start_page": "96", "end_page": "110", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "institutional trust", "digital media", "political science", "public opinion", "democracy" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Corporate Governance and Regulatory Compliance in Emerging Markets", "author": [ { "name": "Dr. Ethan Sutherland", "affiliation": "University of Queensland" }, { "name": "Prof. Ahmed Ibrahim", "affiliation": "American University in Cairo" } ], "abstract": "This study investigates listed firms in Latin America and Southeast Asia through the lens of corporate governance and regulatory compliance in emerging markets. We adopt a randomized controlled trial drawing on 2,695 experimental units collected between 2018 and 2020, and apply panel analysis of governance-quality scores to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach compliance-rating upgrades raise market valuation by 6.1%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in listed firms in Latin America and Southeast Asia. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1047" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1047", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "5", "start_page": "111", "end_page": "128", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "corporate governance", "compliance", "emerging markets", "regulation", "accountability" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Constitutional Reforms in Modern Democracies: Comparative Analysis: A Comprehensive Study (2020)", "author": [ { "name": "Dr. Lakshmi Gupta", "affiliation": "Indian Institute of Technology Madras" }, { "name": "Dr. Otieno Odhiambo", "affiliation": "University of Nairobi" } ], "abstract": "This study investigates post-2000 constitutional amendments through the lens of constitutional reforms in modern democracies: comparative analysis. We adopt a systematic review and meta-analysis drawing on 1,743 experimental units collected between 2018 and 2020, and apply comparative typology of 47 reform episodes to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach deliberative-procedure use correlates with reform durability (r = 0.52), with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in post-2000 constitutional amendments. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1048" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1048", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "5", "start_page": "129", "end_page": "144", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "constitutional law", "democracy", "reform", "comparative law", "governance" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Soil Health Indicators for Sustainable Land Management", "author": [ { "name": "Dr. Pei Shan Teo", "affiliation": "National University of Singapore" }, { "name": "Dr. Magnus Kristiansen", "affiliation": "Norwegian University of Science and Technology" } ], "abstract": "This study investigates temperate cropping systems through the lens of soil health indicators for sustainable land management. We adopt a comparative case-study approach drawing on 2,975 participants collected between 2018 and 2020, and apply multi-year sampling with biological-physical-chemical battery to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach minimum dataset of 9 indicators validated, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in temperate cropping systems. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1049" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1049", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "5", "start_page": "145", "end_page": "161", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "soil health", "land management", "agriculture", "ecosystems", "sustainability" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Natural Language Processing Techniques for Low-Resource Language Translation", "author": [ { "name": "Prof. Ricardo González", "affiliation": "Tecnológico de Monterrey" }, { "name": "Dr. Lan Lin", "affiliation": "Zhejiang University" } ], "abstract": "This study investigates African and South Asian languages through the lens of natural language processing techniques for low-resource language translation. We adopt a randomized controlled trial drawing on 1,129 participants collected between 2018 and 2020, and apply transformer with cross-lingual transfer to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach +6.4 BLEU over the baseline, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in African and South Asian languages. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1050" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1050", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "6", "start_page": "1", "end_page": "18", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "NLP", "low-resource languages", "machine translation", "transfer learning", "multilingual models" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Maternal Health Outcomes in Low-Resource Settings", "author": [ { "name": "Dr. Élodie Moreau", "affiliation": "Sciences Po" }, { "name": "Dr. Abdullah Al-Rashid", "affiliation": "King Abdullah University of Science and Technology" } ], "abstract": "This study investigates rural districts in Sub-Saharan Africa through the lens of maternal health outcomes in low-resource settings. We adopt a longitudinal cohort study drawing on 1,890 records collected between 2018 and 2020, and apply stepped-wedge cluster trial across 18 facilities to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach obstetric-complication response time halved, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in rural districts in Sub-Saharan Africa. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1051" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1051", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "6", "start_page": "19", "end_page": "35", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "maternal health", "global health", "midwifery", "health systems", "equity" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Assessment Reform: Authentic Assessment in Higher Education: A Comparative Study (2020)", "author": [ { "name": "Dr. Sophie Pemberton", "affiliation": "London School of Economics" }, { "name": "Dr. Sanne Bakker", "affiliation": "Delft University of Technology" } ], "abstract": "This study investigates professional graduate programs through the lens of assessment reform: authentic assessment in higher education. We adopt a longitudinal cohort study drawing on 2,654 subjects collected between 2018 and 2020, and apply design-based research over four iterations to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach student-perceived learning gains improved by 0.47 SD, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in professional graduate programs. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1052" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1052", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "6", "start_page": "36", "end_page": "52", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "assessment", "authentic assessment", "higher education", "evaluation", "competencies" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Trust in Institutions in the Digital Age: A Longitudinal Study (2020)", "author": [ { "name": "Prof. Valeria Reyes", "affiliation": "Tecnológico de Monterrey" }, { "name": "Dr. Eun-ji Cho", "affiliation": "Korea University" } ], "abstract": "This study investigates European public-opinion surveys through the lens of trust in institutions in the digital age. We adopt a quasi-experimental design drawing on 1,126 records collected between 2018 and 2020, and apply multilevel modeling across 24 countries to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach platform-news consumption explains 9% of trust variance, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in European public-opinion surveys. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1053" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1053", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "6", "start_page": "53", "end_page": "69", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "institutional trust", "digital media", "political science", "public opinion", "democracy" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Plastic Pollution in Marine Ecosystems: Sources and Mitigation", "author": [ { "name": "Dr. Margaux Beaumont", "affiliation": "HEC Paris" }, { "name": "Dr. Omar Fayed", "affiliation": "Ain Shams University" } ], "abstract": "This study investigates coastal and pelagic waters through the lens of plastic pollution in marine ecosystems: sources and mitigation. We adopt a longitudinal cohort study drawing on 3,793 participants collected between 2018 and 2020, and apply isotopic source apportionment of 1,500 samples to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach fishing-gear sources account for 28% of pelagic plastic mass, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in coastal and pelagic waters. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1054" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1054", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "6", "start_page": "70", "end_page": "84", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "plastic pollution", "marine ecosystems", "microplastics", "mitigation", "oceanography" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Renewable Energy Integration in Smart Grid Systems: A Longitudinal Study (2020)", "author": [ { "name": "Dr. Roni Shapira", "affiliation": "Hebrew University of Jerusalem" }, { "name": "Dr. Carmen López", "affiliation": "University of Barcelona" } ], "abstract": "This study investigates regional distribution networks through the lens of renewable energy integration in smart grid systems. We adopt a longitudinal cohort study drawing on 3,893 instances collected between 2018 and 2020, and apply model-predictive dispatch with battery co-optimization to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 15% increase in renewables hosting capacity, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in regional distribution networks. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1055" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1055", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "6", "start_page": "85", "end_page": "99", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "smart grid", "renewable energy", "grid integration", "power electronics", "energy storage" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Computational Fluid Dynamics Analysis of Wind Turbine Blade Optimization: A Multinational Study (2020)", "author": [ { "name": "Dr. Jun Hao Wong", "affiliation": "Nanyang Technological University" }, { "name": "Dr. Alessandro Bianchi", "affiliation": "Sapienza University of Rome" } ], "abstract": "This study investigates horizontal-axis turbine rotors through the lens of computational fluid dynamics analysis of wind turbine blade optimization. We adopt a longitudinal cohort study drawing on 2,687 facilities collected between 2018 and 2020, and apply RANS-based CFD coupled with a genetic optimizer to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 5.8% gain in annual energy production, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in horizontal-axis turbine rotors. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1056" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1056", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "6", "start_page": "100", "end_page": "114", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "CFD", "wind turbines", "aerodynamics", "blade design", "renewable energy" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Explainable AI for High-Stakes Decision Systems", "author": [ { "name": "Dr. Wanjiku Mwangi", "affiliation": "Kenyatta University" }, { "name": "Prof. Harrison Kingsley", "affiliation": "University of Sydney" } ], "abstract": "This study investigates credit risk and clinical triage models through the lens of explainable ai for high-stakes decision systems. We adopt a prospective observational study drawing on 3,875 cases collected between 2018 and 2020, and apply SHAP-based local attribution with stability auditing to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 92% expert agreement with model rationales, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in credit risk and clinical triage models. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1057" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1057", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "6", "start_page": "115", "end_page": "130", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "explainable AI", "XAI", "interpretability", "model transparency", "trust" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Autonomous Vehicle Perception Systems Using Multi-Sensor Fusion: A Comprehensive Study (2020)", "author": [ { "name": "Dr. Kamau Kipchoge", "affiliation": "University of Nairobi" }, { "name": "Prof. Ahmed Nasser", "affiliation": "Cairo University" } ], "abstract": "This study investigates urban driving scenarios through the lens of autonomous vehicle perception systems using multi-sensor fusion. We adopt a prospective observational study drawing on 3,806 observations collected between 2018 and 2020, and apply Kalman-filter fusion of LiDAR, camera, and radar streams to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach object-detection mAP of 0.87 across 12 weather conditions, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in urban driving scenarios. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1058" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1058", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "6", "start_page": "131", "end_page": "147", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "autonomous vehicles", "sensor fusion", "LiDAR", "perception", "robotics" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Air Quality Monitoring Networks in Megacities", "author": [ { "name": "Dr. Eun-ji Kim", "affiliation": "POSTECH" }, { "name": "Dr. Jian Wu", "affiliation": "University of Science and Technology of China" } ], "abstract": "This study investigates South Asian and African megacities through the lens of air quality monitoring networks in megacities. We adopt a mixed-methods design drawing on 1,266 facilities collected between 2018 and 2020, and apply low-cost sensor calibration with reference-grade integration to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach PM2.5 measurement uncertainty reduced to ±18%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in South Asian and African megacities. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1059" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1059", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "6", "start_page": "148", "end_page": "164", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "air quality", "megacities", "monitoring", "sensors", "pollution" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Curriculum Innovation: Project-Based Learning in Engineering Education: A Comprehensive Study (2020)", "author": [ { "name": "Dr. Lars Janssen", "affiliation": "Delft University of Technology" }, { "name": "Dr. Harrison Whitley", "affiliation": "University of New South Wales" } ], "abstract": "This study investigates undergraduate mechanical engineering through the lens of curriculum innovation: project-based learning in engineering education. We adopt a comparative case-study approach drawing on 3,788 records collected between 2018 and 2020, and apply two-year curricular redesign with cohort comparison to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach capstone-project quality scores higher by 22%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in undergraduate mechanical engineering. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1060" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1060", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "7", "start_page": "1", "end_page": "17", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "curriculum", "project-based learning", "engineering education", "pedagogy", "innovation" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Water Resource Management Under Climate Variability: A Cross-Sectoral Study (2020)", "author": [ { "name": "Dr. Achieng Kipchoge", "affiliation": "Moi University" }, { "name": "Dr. Javier Torres", "affiliation": "University of Barcelona" } ], "abstract": "This study investigates transboundary river basins through the lens of water resource management under climate variability. We adopt a sequential explanatory design drawing on 1,289 cases collected between 2018 and 2020, and apply coupled hydrologic and decision-support modeling to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach cooperative-allocation strategies cut shortage events by 41%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in transboundary river basins. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1061" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1061", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "7", "start_page": "18", "end_page": "33", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "water resources", "climate variability", "hydrology", "drought", "management" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Consumer Behavior in Omnichannel Retail Environments", "author": [ { "name": "Dr. Olumide Nnamdi", "affiliation": "University of Lagos" }, { "name": "Dr. Agnieszka Szymański", "affiliation": "Warsaw University of Technology" } ], "abstract": "This study investigates fashion and grocery retail through the lens of consumer behavior in omnichannel retail environments. We adopt a prospective observational study drawing on 1,405 subjects collected between 2018 and 2020, and apply mixed-methods survey of 1,800 shoppers to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach channel-switching intention reduced by 27% with unified loyalty, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in fashion and grocery retail. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1062" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1062", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "7", "start_page": "34", "end_page": "48", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "consumer behavior", "omnichannel", "retail", "customer experience", "marketing" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Explainable AI for High-Stakes Decision Systems: A Comparative Study (2020)", "author": [ { "name": "Dr. Naledi van Wyk", "affiliation": "Stellenbosch University" }, { "name": "Dr. Paula López", "affiliation": "Complutense University of Madrid" } ], "abstract": "This study investigates credit risk and clinical triage models through the lens of explainable ai for high-stakes decision systems. We adopt a comparative case-study approach drawing on 4,381 records collected between 2018 and 2020, and apply SHAP-based local attribution with stability auditing to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 92% expert agreement with model rationales, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in credit risk and clinical triage models. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1063" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1063", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "7", "start_page": "49", "end_page": "64", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "explainable AI", "XAI", "interpretability", "model transparency", "trust" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Federated Learning for Privacy-Preserving Analytics in Hospital networks: A Cross-Sectoral Study (2020)", "author": [ { "name": "Dr. Arjun Banerjee", "affiliation": "Tata Institute of Fundamental Research" }, { "name": "Dr. Putri Nugroho", "affiliation": "Gadjah Mada University" } ], "abstract": "This study investigates hospital networks through the lens of federated learning for privacy-preserving analytics in hospital networks. We adopt a prospective observational study drawing on 3,697 observations collected between 2018 and 2020, and apply federated averaging with secure aggregation to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach comparable accuracy to centralized training (Δ < 1.5%), with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in hospital networks. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1064" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1064", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "7", "start_page": "65", "end_page": "81", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "federated learning", "privacy", "distributed systems", "differential privacy", "edge computing" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Cybercrime Legislation and Cross-Border Enforcement Challenges: A Longitudinal Study (2020)", "author": [ { "name": "Dr. Astrid Pedersen", "affiliation": "Norwegian Polar Institute" }, { "name": "Dr. Daniel Nelson", "affiliation": "University of Washington" } ], "abstract": "This study investigates transnational ransomware investigations through the lens of cybercrime legislation and cross-border enforcement challenges. We adopt a systematic review and meta-analysis drawing on 2,955 facilities collected between 2018 and 2020, and apply case-study analysis of 18 multi-jurisdiction prosecutions to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach average MLAT response time of 14 months identified as primary bottleneck, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in transnational ransomware investigations. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1065" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1065", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "7", "start_page": "82", "end_page": "97", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "cybercrime", "international law", "enforcement", "jurisdiction", "legal frameworks" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Air Quality Monitoring Networks in Megacities: A Comprehensive Study (2020)", "author": [ { "name": "Dr. Joshua Hall", "affiliation": "Carnegie Mellon University" }, { "name": "Dr. Folake Achebe", "affiliation": "University of Lagos" } ], "abstract": "This study investigates South Asian and African megacities through the lens of air quality monitoring networks in megacities. We adopt a quasi-experimental design drawing on 3,223 observations collected between 2018 and 2020, and apply low-cost sensor calibration with reference-grade integration to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach PM2.5 measurement uncertainty reduced to ±18%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in South Asian and African megacities. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1066" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1066", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "7", "start_page": "98", "end_page": "115", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "air quality", "megacities", "monitoring", "sensors", "pollution" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Effects of Income Inequality on Health and Wellbeing", "author": [ { "name": "Dr. Hui Lin Ong", "affiliation": "National University of Singapore" }, { "name": "Dr. Lerato van Wyk", "affiliation": "University of the Witwatersrand" } ], "abstract": "This study investigates OECD member economies through the lens of effects of income inequality on health and wellbeing. We adopt a systematic review and meta-analysis drawing on 3,384 observations collected between 2018 and 2020, and apply panel regression with country fixed effects to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 1-point Gini increase associated with 0.7% drop in self-rated health, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in OECD member economies. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1067" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1067", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "7", "start_page": "116", "end_page": "132", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "income inequality", "health", "wellbeing", "social determinants", "public policy" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Inclusive Education Practices for Students with Disabilities", "author": [ { "name": "Dr. Henry Ashworth", "affiliation": "University College London" }, { "name": "Dr. Lena Hoffmann", "affiliation": "ETH affiliated TU Berlin" } ], "abstract": "This study investigates secondary mainstream classrooms through the lens of inclusive education practices for students with disabilities. We adopt a comparative case-study approach drawing on 2,965 cases collected between 2018 and 2020, and apply multi-site case study of 22 schools to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach inclusion-climate index improved by 28%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in secondary mainstream classrooms. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1068" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1068", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "7", "start_page": "133", "end_page": "149", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "inclusive education", "disabilities", "accessibility", "special needs", "equity" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Natural Language Processing Techniques for Low-Resource Language Translation: A Cross-Sectoral Study (2020)", "author": [ { "name": "Prof. Selin Yılmaz", "affiliation": "Istanbul Technical University" }, { "name": "Dr. Beatriz Silva", "affiliation": "Federal University of Minas Gerais" } ], "abstract": "This study investigates African and South Asian languages through the lens of natural language processing techniques for low-resource language translation. We adopt a quasi-experimental design drawing on 1,681 subjects collected between 2018 and 2020, and apply transformer with cross-lingual transfer to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach +6.4 BLEU over the baseline, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in African and South Asian languages. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1069" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1069", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "7", "start_page": "150", "end_page": "165", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "NLP", "low-resource languages", "machine translation", "transfer learning", "multilingual models" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Reinforcement Learning Approaches for Adaptive Network Resource Allocation: A Empirical Study (2020)", "author": [ { "name": "Dr. Nora Keller", "affiliation": "University of Geneva" }, { "name": "Dr. Ava Pemberton", "affiliation": "University of New South Wales" } ], "abstract": "This study investigates wireless network slicing through the lens of reinforcement learning approaches for adaptive network resource allocation. We adopt a mixed-methods design drawing on 1,542 participants collected between 2018 and 2020, and apply deep Q-network with prioritized replay to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 23% reduction in average packet latency, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in wireless network slicing. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1070" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1070", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "8", "start_page": "1", "end_page": "17", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "reinforcement learning", "networks", "resource allocation", "Q-learning", "optimization" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Nutritional Interventions for Childhood Obesity Prevention: A Multinational Study (2020)", "author": [ { "name": "Dr. Sanne Mulder", "affiliation": "Utrecht University" }, { "name": "Dr. Zanele Mthembu", "affiliation": "University of the Witwatersrand" } ], "abstract": "This study investigates school-meal redesign programs through the lens of nutritional interventions for childhood obesity prevention. We adopt a quasi-experimental design drawing on 2,639 observations collected between 2018 and 2020, and apply cluster-randomized trial with 4,300 children to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach BMI z-score reduction of 0.18 over the study year, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in school-meal redesign programs. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1071" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1071", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "8", "start_page": "18", "end_page": "34", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "nutrition", "childhood obesity", "public health", "intervention", "BMI" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Inclusive Education Practices for Students with Disabilities: A Cross-Sectoral Study (2020)", "author": [ { "name": "Dr. Maha Al-Rashid", "affiliation": "King Abdullah University of Science and Technology" }, { "name": "Dr. Lena Schmidt", "affiliation": "University of Bonn" } ], "abstract": "This study investigates secondary mainstream classrooms through the lens of inclusive education practices for students with disabilities. We adopt a mixed-methods design drawing on 3,910 participants collected between 2018 and 2020, and apply multi-site case study of 22 schools to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach inclusion-climate index improved by 28%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in secondary mainstream classrooms. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1072" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1072", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "8", "start_page": "35", "end_page": "51", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "inclusive education", "disabilities", "accessibility", "special needs", "equity" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "International Human Rights Law in the Context of Climate Change", "author": [ { "name": "Dr. Mostafa Fayed", "affiliation": "Alexandria University" }, { "name": "Dr. Kenji Tanaka", "affiliation": "University of Tokyo" } ], "abstract": "This study investigates small-island and Arctic communities through the lens of international human rights law in the context of climate change. We adopt a quasi-experimental design drawing on 4,500 experimental units collected between 2018 and 2020, and apply doctrinal analysis with case-law mapping to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach emerging right-to-stable-climate doctrine identified in 9 jurisdictions, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in small-island and Arctic communities. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1073" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1073", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "8", "start_page": "52", "end_page": "66", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "human rights", "climate change", "international law", "environmental law", "justice" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Plastic Pollution in Marine Ecosystems: Sources and Mitigation: A Cross-Sectoral Study (2020)", "author": [ { "name": "Prof. Astrid Nilsen", "affiliation": "University of Oslo" }, { "name": "Dr. Alessandro Romano", "affiliation": "University of Bologna" } ], "abstract": "This study investigates coastal and pelagic waters through the lens of plastic pollution in marine ecosystems: sources and mitigation. We adopt a longitudinal cohort study drawing on 3,145 instances collected between 2018 and 2020, and apply isotopic source apportionment of 1,500 samples to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach fishing-gear sources account for 28% of pelagic plastic mass, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in coastal and pelagic waters. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1074" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1074", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "8", "start_page": "67", "end_page": "82", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "plastic pollution", "marine ecosystems", "microplastics", "mitigation", "oceanography" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Gamification in K-12 Classrooms: Engagement and Learning Outcomes", "author": [ { "name": "Dr. Eitan Shapira", "affiliation": "Hebrew University of Jerusalem" }, { "name": "Dr. Hye-jin Cho", "affiliation": "Seoul National University" } ], "abstract": "This study investigates middle-school mathematics through the lens of gamification in k-12 classrooms: engagement and learning outcomes. We adopt a sequential explanatory design drawing on 4,065 records collected between 2018 and 2020, and apply randomized trial across 36 classrooms to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach achievement gains of 14% on standardized assessments, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in middle-school mathematics. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1075" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1075", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "8", "start_page": "83", "end_page": "98", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "gamification", "K-12", "engagement", "learning outcomes", "educational games" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Aging Populations and the Future of Social Welfare Systems", "author": [ { "name": "Dr. Harrison Macarthur", "affiliation": "Australian National University" }, { "name": "Dr. Florian Steiner", "affiliation": "EPFL" } ], "abstract": "This study investigates OECD pension systems through the lens of aging populations and the future of social welfare systems. We adopt a longitudinal cohort study drawing on 4,062 subjects collected between 2018 and 2020, and apply actuarial micro-simulation with policy scenarios to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach old-age dependency burden grows by 38% by 2040 under status quo, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in OECD pension systems. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1076" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1076", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "8", "start_page": "99", "end_page": "113", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "aging", "social welfare", "demographics", "public policy", "pensions" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Sustainable Agriculture Practices for Food Security", "author": [ { "name": "Dr. Gabriela Aguilar", "affiliation": "National Autonomous University of Mexico" }, { "name": "Dr. Isabela Almeida", "affiliation": "Federal University of Minas Gerais" } ], "abstract": "This study investigates smallholder farms in semi-arid regions through the lens of sustainable agriculture practices for food security. We adopt a mixed-methods design drawing on 1,083 facilities collected between 2018 and 2020, and apply on-farm trials across 220 sites over four seasons to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach yield-stability index improved by 23%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in smallholder farms in semi-arid regions. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1077" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1077", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "8", "start_page": "114", "end_page": "131", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "sustainable agriculture", "food security", "agroecology", "climate-smart", "yields" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Water Resource Management Under Climate Variability: A Multinational Study (2020)", "author": [ { "name": "Dr. Lakshmi Menon", "affiliation": "Jawaharlal Nehru University" }, { "name": "Dr. Valeria Vásquez", "affiliation": "CINVESTAV" } ], "abstract": "This study investigates transboundary river basins through the lens of water resource management under climate variability. We adopt a comparative case-study approach drawing on 1,090 cases collected between 2018 and 2020, and apply coupled hydrologic and decision-support modeling to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach cooperative-allocation strategies cut shortage events by 41%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in transboundary river basins. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1078" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1078", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "8", "start_page": "132", "end_page": "148", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "water resources", "climate variability", "hydrology", "drought", "management" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Effects of Income Inequality on Health and Wellbeing: A Comprehensive Study (2020)", "author": [ { "name": "Dr. Ling Li", "affiliation": "Fudan University" }, { "name": "Dr. Lerato van Wyk", "affiliation": "Stellenbosch University" } ], "abstract": "This study investigates OECD member economies through the lens of effects of income inequality on health and wellbeing. We adopt a sequential explanatory design drawing on 1,187 cases collected between 2018 and 2020, and apply panel regression with country fixed effects to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 1-point Gini increase associated with 0.7% drop in self-rated health, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in OECD member economies. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1079" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1079", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "8", "start_page": "149", "end_page": "163", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "income inequality", "health", "wellbeing", "social determinants", "public policy" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Energy Harvesting from Ambient Vibrations Using Piezoelectric Materials", "author": [ { "name": "Dr. Sven Hansen", "affiliation": "Norwegian University of Science and Technology" }, { "name": "Dr. Olivia Beaulieu", "affiliation": "University of British Columbia" } ], "abstract": "This study investigates bridge-deck vibration sources through the lens of energy harvesting from ambient vibrations using piezoelectric materials. We adopt a prospective observational study drawing on 2,828 observations collected between 2018 and 2020, and apply tunable cantilever array with rectifier circuits to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach average power output of 1.4 mW per device, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in bridge-deck vibration sources. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1080" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1080", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "9", "start_page": "1", "end_page": "17", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "energy harvesting", "piezoelectric", "ambient vibration", "power generation", "MEMS" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Sustainable Agriculture Practices for Food Security: A Comprehensive Study (2020)", "author": [ { "name": "Dr. Valentina Acosta", "affiliation": "Universidad Austral" }, { "name": "Dr. Hiroshi Ito", "affiliation": "Keio University" } ], "abstract": "This study investigates smallholder farms in semi-arid regions through the lens of sustainable agriculture practices for food security. We adopt a prospective observational study drawing on 266 observations collected between 2018 and 2020, and apply on-farm trials across 220 sites over four seasons to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach yield-stability index improved by 23%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in smallholder farms in semi-arid regions. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1081" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1081", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "9", "start_page": "18", "end_page": "33", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "sustainable agriculture", "food security", "agroecology", "climate-smart", "yields" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Healthcare Worker Burnout: Predictors and Mitigation Strategies: A Cross-Sectoral Study (2020)", "author": [ { "name": "Prof. Mohamed Ibrahim", "affiliation": "Cairo University" }, { "name": "Dr. Bruno Silva", "affiliation": "University of Campinas" } ], "abstract": "This study investigates tertiary-hospital nursing staff through the lens of healthcare worker burnout: predictors and mitigation strategies. We adopt a randomized controlled trial drawing on 2,661 subjects collected between 2018 and 2020, and apply longitudinal survey with structural-equation modeling to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach psychological-safety climate β = -0.47 on burnout, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in tertiary-hospital nursing staff. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1082" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1082", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "9", "start_page": "34", "end_page": "49", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "burnout", "healthcare workers", "occupational health", "resilience", "wellbeing" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Corporate Social Responsibility and Financial Performance: A Comprehensive Study (2020)", "author": [ { "name": "Dr. Elif Aydın", "affiliation": "Istanbul Technical University" }, { "name": "Dr. Andrés Vargas", "affiliation": "Autonomous University of Madrid" } ], "abstract": "This study investigates publicly listed firms in emerging markets through the lens of corporate social responsibility and financial performance. We adopt a sequential explanatory design drawing on 2,201 subjects collected between 2018 and 2020, and apply fixed-effects panel regression on 600 firm-years to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach CSR-score top-quartile firms outperform by 4.2% ROA, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in publicly listed firms in emerging markets. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1083" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1083", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "9", "start_page": "50", "end_page": "64", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "CSR", "financial performance", "sustainability", "ESG", "stakeholder theory" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Plastic Pollution in Marine Ecosystems: Sources and Mitigation: A Multinational Study (2020)", "author": [ { "name": "Dr. Aisha Nwosu", "affiliation": "Obafemi Awolowo University" }, { "name": "Dr. Noah Kingsley", "affiliation": "University of Melbourne" } ], "abstract": "This study investigates coastal and pelagic waters through the lens of plastic pollution in marine ecosystems: sources and mitigation. We adopt a quasi-experimental design drawing on 2,409 instances collected between 2018 and 2020, and apply isotopic source apportionment of 1,500 samples to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach fishing-gear sources account for 28% of pelagic plastic mass, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in coastal and pelagic waters. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1084" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1084", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "9", "start_page": "65", "end_page": "79", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "plastic pollution", "marine ecosystems", "microplastics", "mitigation", "oceanography" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Constitutional Reforms in Modern Democracies: Comparative Analysis: A Longitudinal Study (2020)", "author": [ { "name": "Dr. Karthik Reddy", "affiliation": "Indian Institute of Management Ahmedabad" }, { "name": "Dr. Owen Whitehouse", "affiliation": "Queen's University" } ], "abstract": "This study investigates post-2000 constitutional amendments through the lens of constitutional reforms in modern democracies: comparative analysis. We adopt a sequential explanatory design drawing on 3,481 experimental units collected between 2018 and 2020, and apply comparative typology of 47 reform episodes to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach deliberative-procedure use correlates with reform durability (r = 0.52), with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in post-2000 constitutional amendments. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1085" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1085", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "9", "start_page": "80", "end_page": "96", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "constitutional law", "democracy", "reform", "comparative law", "governance" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Data Protection and Privacy Regulation in the Era of Big Data", "author": [ { "name": "Dr. Lukas Meier", "affiliation": "ETH Zurich" }, { "name": "Dr. Wanjiku Kipchoge", "affiliation": "Kenyatta University" } ], "abstract": "This study investigates cross-border personal-data flows through the lens of data protection and privacy regulation in the era of big data. We adopt a quasi-experimental design drawing on 1,517 observations collected between 2018 and 2020, and apply comparative legal analysis across 12 jurisdictions to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach convergence on three regulatory archetypes, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in cross-border personal-data flows. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1086" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1086", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "9", "start_page": "97", "end_page": "111", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "data protection", "privacy", "GDPR", "big data", "regulation" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Assessment Reform: Authentic Assessment in Higher Education: A Empirical Study (2020)", "author": [ { "name": "Dr. Sipho Khumalo", "affiliation": "University of Cape Town" }, { "name": "Dr. Budi Nugroho", "affiliation": "Bandung Institute of Technology" } ], "abstract": "This study investigates professional graduate programs through the lens of assessment reform: authentic assessment in higher education. We adopt a randomized controlled trial drawing on 202 records collected between 2018 and 2020, and apply design-based research over four iterations to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach student-perceived learning gains improved by 0.47 SD, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in professional graduate programs. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1087" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1087", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "9", "start_page": "112", "end_page": "128", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "assessment", "authentic assessment", "higher education", "evaluation", "competencies" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Graph Neural Networks for Knowledge Graph Completion", "author": [ { "name": "Prof. Harrison Ashford", "affiliation": "University of Sydney" }, { "name": "Dr. Javier Hernández", "affiliation": "Autonomous University of Madrid" } ], "abstract": "This study investigates biomedical knowledge graphs through the lens of graph neural networks for knowledge graph completion. We adopt a quasi-experimental design drawing on 741 subjects collected between 2018 and 2020, and apply relational graph convolutional network to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach MRR of 0.612 on FB15k-237, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in biomedical knowledge graphs. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1088" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1088", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "9", "start_page": "129", "end_page": "143", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "graph neural networks", "knowledge graphs", "representation learning", "link prediction", "embeddings" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Smart Material Composites for Self-Healing Infrastructure", "author": [ { "name": "Prof. Klaus Fischer", "affiliation": "Max Planck Institute" }, { "name": "Dr. Maya Friedman", "affiliation": "Weizmann Institute of Science" } ], "abstract": "This study investigates concrete pavement systems through the lens of smart material composites for self-healing infrastructure. We adopt a randomized controlled trial drawing on 1,976 observations collected between 2018 and 2020, and apply microcapsule-embedded polymer-modified concrete to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 78% recovery of flexural strength after fracture, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in concrete pavement systems. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1089" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1089", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "9", "start_page": "144", "end_page": "159", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "smart materials", "self-healing", "composites", "infrastructure", "durability" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Gamification in K-12 Classrooms: Engagement and Learning Outcomes: A Comprehensive Study (2020)", "author": [ { "name": "Dr. Roni Katz", "affiliation": "Weizmann Institute of Science" }, { "name": "Dr. Si Ying Ng", "affiliation": "National University of Singapore" } ], "abstract": "This study investigates middle-school mathematics through the lens of gamification in k-12 classrooms: engagement and learning outcomes. We adopt a sequential explanatory design drawing on 1,770 participants collected between 2018 and 2020, and apply randomized trial across 36 classrooms to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach achievement gains of 14% on standardized assessments, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in middle-school mathematics. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1090" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1090", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "10", "start_page": "1", "end_page": "16", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "gamification", "K-12", "engagement", "learning outcomes", "educational games" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Plastic Pollution in Marine Ecosystems: Sources and Mitigation: A Longitudinal Study (2020)", "author": [ { "name": "Dr. Olivia McKenzie", "affiliation": "Queen's University" }, { "name": "Dr. Njoroge Kariuki", "affiliation": "Moi University" } ], "abstract": "This study investigates coastal and pelagic waters through the lens of plastic pollution in marine ecosystems: sources and mitigation. We adopt a longitudinal cohort study drawing on 4,294 cases collected between 2018 and 2020, and apply isotopic source apportionment of 1,500 samples to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach fishing-gear sources account for 28% of pelagic plastic mass, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in coastal and pelagic waters. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1091" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1091", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "10", "start_page": "17", "end_page": "32", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "plastic pollution", "marine ecosystems", "microplastics", "mitigation", "oceanography" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Gender Inequality in the Workplace: A Cross-National Comparison: A Multinational Study (2020)", "author": [ { "name": "Dr. Léa Vallée", "affiliation": "École Normale Supérieure" }, { "name": "Dr. Yuki Sato", "affiliation": "Osaka University" } ], "abstract": "This study investigates white-collar employment in 14 countries through the lens of gender inequality in the workplace: a cross-national comparison. We adopt a mixed-methods design drawing on 4,464 records collected between 2018 and 2020, and apply decomposition analysis of wage gaps to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach unexplained-gap component averages 9.4%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in white-collar employment in 14 countries. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1092" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1092", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "10", "start_page": "33", "end_page": "48", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "gender inequality", "workplace", "cross-national", "sociology", "labor" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Explainable AI for High-Stakes Decision Systems: A Empirical Study (2020)", "author": [ { "name": "Dr. Ji-hoon Jung", "affiliation": "Yonsei University" }, { "name": "Dr. Beatriz Rodrigues", "affiliation": "Federal University of Minas Gerais" } ], "abstract": "This study investigates credit risk and clinical triage models through the lens of explainable ai for high-stakes decision systems. We adopt a sequential explanatory design drawing on 2,925 instances collected between 2018 and 2020, and apply SHAP-based local attribution with stability auditing to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 92% expert agreement with model rationales, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in credit risk and clinical triage models. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1093" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1093", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "10", "start_page": "49", "end_page": "64", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "explainable AI", "XAI", "interpretability", "model transparency", "trust" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Edge Computing Architectures for Real-Time IoT Data Processing: A Cross-Sectoral Study (2020)", "author": [ { "name": "Dr. Seung-hyun Han", "affiliation": "KAIST" }, { "name": "Dr. Aisha Balogun", "affiliation": "University of Ibadan" } ], "abstract": "This study investigates industrial sensor networks through the lens of edge computing architectures for real-time iot data processing. We adopt a systematic review and meta-analysis drawing on 1,319 facilities collected between 2018 and 2020, and apply container-based microservice orchestration to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach end-to-end latency below 80 ms at the 95th percentile, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in industrial sensor networks. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1094" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1094", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "10", "start_page": "65", "end_page": "81", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "edge computing", "IoT", "real-time systems", "data streaming", "latency" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Customer Relationship Management Analytics for Service Industries: A Empirical Study (2020)", "author": [ { "name": "Dr. Hannah King", "affiliation": "Carnegie Mellon University" }, { "name": "Dr. Sofia Conti", "affiliation": "University of Padua" } ], "abstract": "This study investigates telecom subscriber bases through the lens of customer relationship management analytics for service industries. We adopt a systematic review and meta-analysis drawing on 575 facilities collected between 2018 and 2020, and apply gradient-boosted churn modeling with uplift estimation to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach annual retention savings estimated at USD 12.4 million, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in telecom subscriber bases. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1095" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1095", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "10", "start_page": "82", "end_page": "98", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "CRM", "analytics", "customer retention", "service marketing", "churn" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Water Resource Management Under Climate Variability: A Comparative Study (2020)", "author": [ { "name": "Dr. Hiroshi Nakamura", "affiliation": "Waseda University" }, { "name": "Dr. Connor McKenzie", "affiliation": "Queen's University" } ], "abstract": "This study investigates transboundary river basins through the lens of water resource management under climate variability. We adopt a sequential explanatory design drawing on 3,891 experimental units collected between 2018 and 2020, and apply coupled hydrologic and decision-support modeling to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach cooperative-allocation strategies cut shortage events by 41%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in transboundary river basins. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1096" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1096", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "10", "start_page": "99", "end_page": "114", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "water resources", "climate variability", "hydrology", "drought", "management" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Robotic Process Automation in Manufacturing Quality Control", "author": [ { "name": "Dr. Matthias Meier", "affiliation": "EPFL" }, { "name": "Dr. Si Ying Wong", "affiliation": "National University of Singapore" } ], "abstract": "This study investigates automotive assembly lines through the lens of robotic process automation in manufacturing quality control. We adopt a randomized controlled trial drawing on 4,357 participants collected between 2018 and 2020, and apply vision-guided cobot inspection cells to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach defect-escape rate reduced by 64%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in automotive assembly lines. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1097" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1097", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "10", "start_page": "115", "end_page": "130", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "robotics", "manufacturing", "quality control", "automation", "industry 4.0" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Telemedicine Adoption in Rural Communities: Barriers and Enablers", "author": [ { "name": "Dr. Julia Brunner", "affiliation": "ETH Zurich" }, { "name": "Dr. Emma Ferguson", "affiliation": "Queen's University" } ], "abstract": "This study investigates primary-care clinics in low-density regions through the lens of telemedicine adoption in rural communities: barriers and enablers. We adopt a quasi-experimental design drawing on 3,634 subjects collected between 2018 and 2020, and apply mixed-methods evaluation across 24 clinics to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach consultation volumes rose 3.1× over 12 months, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in primary-care clinics in low-density regions. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1098" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1098", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "10", "start_page": "131", "end_page": "146", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "telemedicine", "rural health", "digital health", "healthcare access", "adoption" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Autonomous Vehicle Perception Systems Using Multi-Sensor Fusion: A Cross-Sectoral Study (2020)", "author": [ { "name": "Dr. Gabriela González", "affiliation": "National Autonomous University of Mexico" }, { "name": "Dr. Diego Romero", "affiliation": "National University of Córdoba" } ], "abstract": "This study investigates urban driving scenarios through the lens of autonomous vehicle perception systems using multi-sensor fusion. We adopt a prospective observational study drawing on 3,571 cases collected between 2018 and 2020, and apply Kalman-filter fusion of LiDAR, camera, and radar streams to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach object-detection mAP of 0.87 across 12 weather conditions, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in urban driving scenarios. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1099" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1099", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "10", "start_page": "147", "end_page": "163", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "autonomous vehicles", "sensor fusion", "LiDAR", "perception", "robotics" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Deep Learning for Image Classification in Medical Imaging Applications: A Cross-Sectoral Study (2020)", "author": [ { "name": "Dr. Kagiso Naidoo", "affiliation": "Stellenbosch University" }, { "name": "Dr. Eun-ji Jung", "affiliation": "POSTECH" } ], "abstract": "This study investigates medical imaging through the lens of deep learning for image classification in medical imaging. We adopt a randomized controlled trial drawing on 989 observations collected between 2018 and 2020, and apply convolutional neural network ensemble to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 94.6% top-1 accuracy on a held-out test set, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in medical imaging. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1100" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1100", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "11", "start_page": "1", "end_page": "15", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "deep learning", "image classification", "convolutional networks", "feature extraction", "computer vision" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Maternal Health Outcomes in Low-Resource Settings: A Cross-Sectoral Study (2020)", "author": [ { "name": "Dr. Tunde Nnamdi", "affiliation": "Obafemi Awolowo University" }, { "name": "Dr. Gabriel Pereira", "affiliation": "Federal University of Rio de Janeiro" } ], "abstract": "This study investigates rural districts in Sub-Saharan Africa through the lens of maternal health outcomes in low-resource settings. We adopt a randomized controlled trial drawing on 1,793 instances collected between 2018 and 2020, and apply stepped-wedge cluster trial across 18 facilities to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach obstetric-complication response time halved, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in rural districts in Sub-Saharan Africa. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1101" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1101", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "11", "start_page": "16", "end_page": "31", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "maternal health", "global health", "midwifery", "health systems", "equity" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Robotic Process Automation in Manufacturing Quality Control: A Multinational Study (2020)", "author": [ { "name": "Dr. Yong Kai Ong", "affiliation": "Singapore Management University" }, { "name": "Dr. Michael Nelson", "affiliation": "Princeton University" } ], "abstract": "This study investigates automotive assembly lines through the lens of robotic process automation in manufacturing quality control. We adopt a longitudinal cohort study drawing on 2,239 facilities collected between 2018 and 2020, and apply vision-guided cobot inspection cells to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach defect-escape rate reduced by 64%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in automotive assembly lines. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1102" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1102", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "11", "start_page": "32", "end_page": "46", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "robotics", "manufacturing", "quality control", "automation", "industry 4.0" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Educational Equity in Multilingual Classrooms: A Comprehensive Study (2020)", "author": [ { "name": "Dr. Naledi Dlamini", "affiliation": "Stellenbosch University" }, { "name": "Dr. Henry Pemberton", "affiliation": "Imperial College London" } ], "abstract": "This study investigates immigrant-receiving urban districts through the lens of educational equity in multilingual classrooms. We adopt a quasi-experimental design drawing on 3,876 observations collected between 2018 and 2020, and apply policy analysis combined with classroom observation to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach scaffolded multilingual instruction narrowed reading gaps by 31%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in immigrant-receiving urban districts. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1103" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1103", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "11", "start_page": "47", "end_page": "62", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "educational equity", "multilingual", "language education", "diversity", "access" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Water Resource Management Under Climate Variability: A Longitudinal Study (2020)", "author": [ { "name": "Prof. Liv Nilsen", "affiliation": "University of Bergen" }, { "name": "Dr. Salma Ibrahim", "affiliation": "American University in Cairo" } ], "abstract": "This study investigates transboundary river basins through the lens of water resource management under climate variability. We adopt a mixed-methods design drawing on 2,000 participants collected between 2018 and 2020, and apply coupled hydrologic and decision-support modeling to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach cooperative-allocation strategies cut shortage events by 41%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in transboundary river basins. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1104" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1104", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "11", "start_page": "63", "end_page": "80", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "water resources", "climate variability", "hydrology", "drought", "management" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Urban Migration Patterns and Community Integration: A Multinational Study (2020)", "author": [ { "name": "Dr. Nkosi Nkosi", "affiliation": "Stellenbosch University" }, { "name": "Dr. Markus Fischer", "affiliation": "Heidelberg University" } ], "abstract": "This study investigates secondary-city migration corridors through the lens of urban migration patterns and community integration. We adopt a mixed-methods design drawing on 2,529 observations collected between 2018 and 2020, and apply longitudinal panel of 4,500 households to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach integration-index gains of 19% with formal-housing access, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in secondary-city migration corridors. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1105" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1105", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "11", "start_page": "81", "end_page": "98", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "urban migration", "community integration", "sociology", "demographics", "social cohesion" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Curriculum Innovation: Project-Based Learning in Engineering Education: A Comparative Study (2020)", "author": [ { "name": "Dr. Otieno Mwangi", "affiliation": "Kenyatta University" }, { "name": "Dr. Femke Janssen", "affiliation": "Delft University of Technology" } ], "abstract": "This study investigates undergraduate mechanical engineering through the lens of curriculum innovation: project-based learning in engineering education. We adopt a longitudinal cohort study drawing on 3,628 participants collected between 2018 and 2020, and apply two-year curricular redesign with cohort comparison to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach capstone-project quality scores higher by 22%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in undergraduate mechanical engineering. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1106" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1106", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "11", "start_page": "99", "end_page": "113", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "curriculum", "project-based learning", "engineering education", "pedagogy", "innovation" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Aging Populations and the Future of Social Welfare Systems: A Empirical Study (2020)", "author": [ { "name": "Dr. Kagiso Naidoo", "affiliation": "Stellenbosch University" }, { "name": "Dr. Charlotte Ashworth", "affiliation": "University College London" } ], "abstract": "This study investigates OECD pension systems through the lens of aging populations and the future of social welfare systems. We adopt a comparative case-study approach drawing on 3,312 records collected between 2018 and 2020, and apply actuarial micro-simulation with policy scenarios to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach old-age dependency burden grows by 38% by 2040 under status quo, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in OECD pension systems. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1107" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1107", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "11", "start_page": "114", "end_page": "128", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "aging", "social welfare", "demographics", "public policy", "pensions" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Air Quality Monitoring Networks in Megacities: A Comparative Study (2020)", "author": [ { "name": "Dr. Benjamin Whitfield", "affiliation": "University of Oxford" }, { "name": "Dr. Mehmet Aydın", "affiliation": "Bogaziçi University" } ], "abstract": "This study investigates South Asian and African megacities through the lens of air quality monitoring networks in megacities. We adopt a mixed-methods design drawing on 2,586 facilities collected between 2018 and 2020, and apply low-cost sensor calibration with reference-grade integration to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach PM2.5 measurement uncertainty reduced to ±18%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in South Asian and African megacities. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1108" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1108", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "11", "start_page": "129", "end_page": "145", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "air quality", "megacities", "monitoring", "sensors", "pollution" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Thermal Management Strategies for High-Density Data Center Cooling", "author": [ { "name": "Dr. Khalid Al-Rashid", "affiliation": "King Abdullah University of Science and Technology" }, { "name": "Dr. Meera Reddy", "affiliation": "Jawaharlal Nehru University" } ], "abstract": "This study investigates hyperscale facilities through the lens of thermal management strategies for high-density data center cooling. We adopt a randomized controlled trial drawing on 2,542 facilities collected between 2018 and 2020, and apply two-phase immersion cooling with airflow re-design to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach PUE reduction from 1.42 to 1.13, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in hyperscale facilities. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1109" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1109", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "11", "start_page": "146", "end_page": "163", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "thermal management", "data centers", "cooling", "energy efficiency", "HVAC" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Federated Learning for Privacy-Preserving Analytics in Hospital networks: A Longitudinal Study (2020)", "author": [ { "name": "Dr. Akinyi Kipchoge", "affiliation": "University of Nairobi" }, { "name": "Dr. Bruno Silva", "affiliation": "Federal University of Minas Gerais" } ], "abstract": "This study investigates hospital networks through the lens of federated learning for privacy-preserving analytics in hospital networks. We adopt a prospective observational study drawing on 1,189 participants collected between 2018 and 2020, and apply federated averaging with secure aggregation to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach comparable accuracy to centralized training (Δ < 1.5%), with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in hospital networks. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1110" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1110", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "12", "start_page": "1", "end_page": "15", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "federated learning", "privacy", "distributed systems", "differential privacy", "edge computing" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "International Human Rights Law in the Context of Climate Change: A Comparative Study (2020)", "author": [ { "name": "Dr. Linnea Lindqvist", "affiliation": "Lund University" }, { "name": "Dr. Omar Abdelrahman", "affiliation": "American University in Cairo" } ], "abstract": "This study investigates small-island and Arctic communities through the lens of international human rights law in the context of climate change. We adopt a mixed-methods design drawing on 2,201 cases collected between 2018 and 2020, and apply doctrinal analysis with case-law mapping to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach emerging right-to-stable-climate doctrine identified in 9 jurisdictions, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in small-island and Arctic communities. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1111" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1111", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "12", "start_page": "16", "end_page": "31", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "human rights", "climate change", "international law", "environmental law", "justice" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Soil Health Indicators for Sustainable Land Management: A Comprehensive Study (2020)", "author": [ { "name": "Dr. Kagiso Khumalo", "affiliation": "University of Cape Town" }, { "name": "Dr. Diego Martínez", "affiliation": "Autonomous University of Madrid" } ], "abstract": "This study investigates temperate cropping systems through the lens of soil health indicators for sustainable land management. We adopt a longitudinal cohort study drawing on 3,145 participants collected between 2018 and 2020, and apply multi-year sampling with biological-physical-chemical battery to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach minimum dataset of 9 indicators validated, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in temperate cropping systems. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1112" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1112", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "12", "start_page": "32", "end_page": "49", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "soil health", "land management", "agriculture", "ecosystems", "sustainability" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Water Resource Management Under Climate Variability: A Empirical Study (2020)", "author": [ { "name": "Dr. Marek Kamiński", "affiliation": "University of Warsaw" }, { "name": "Dr. Siti Pratama", "affiliation": "Bandung Institute of Technology" } ], "abstract": "This study investigates transboundary river basins through the lens of water resource management under climate variability. We adopt a randomized controlled trial drawing on 2,356 subjects collected between 2018 and 2020, and apply coupled hydrologic and decision-support modeling to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach cooperative-allocation strategies cut shortage events by 41%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in transboundary river basins. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1113" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1113", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "12", "start_page": "50", "end_page": "64", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "water resources", "climate variability", "hydrology", "drought", "management" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Leadership Styles and Employee Engagement: A Cross-Cultural Study: A Cross-Sectoral Study (2020)", "author": [ { "name": "Dr. Andrea Reyes", "affiliation": "National Autonomous University of Mexico" }, { "name": "Prof. Xin Ma", "affiliation": "Tsinghua University" } ], "abstract": "This study investigates professional-services firms across four countries through the lens of leadership styles and employee engagement: a cross-cultural study. We adopt a comparative case-study approach drawing on 1,050 facilities collected between 2018 and 2020, and apply multilevel regression with cultural moderators to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach transformational leadership β = 0.52 on engagement, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in professional-services firms across four countries. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1114" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1114", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "12", "start_page": "65", "end_page": "80", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "leadership", "employee engagement", "cross-cultural", "HRM", "organizational behavior" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Autonomous Vehicle Perception Systems Using Multi-Sensor Fusion: A Multinational Study (2020)", "author": [ { "name": "Dr. Liam McKenzie", "affiliation": "University of British Columbia" }, { "name": "Dr. James Martinez", "affiliation": "Northwestern University" } ], "abstract": "This study investigates urban driving scenarios through the lens of autonomous vehicle perception systems using multi-sensor fusion. We adopt a comparative case-study approach drawing on 1,683 subjects collected between 2018 and 2020, and apply Kalman-filter fusion of LiDAR, camera, and radar streams to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach object-detection mAP of 0.87 across 12 weather conditions, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in urban driving scenarios. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1115" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1115", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "12", "start_page": "81", "end_page": "97", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "autonomous vehicles", "sensor fusion", "LiDAR", "perception", "robotics" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Entrepreneurial Ecosystems and Startup Success Factors: A Comprehensive Study (2020)", "author": [ { "name": "Dr. Tamar Mizrahi", "affiliation": "Technion" }, { "name": "Prof. Ciara Murphy", "affiliation": "University College Cork" } ], "abstract": "This study investigates tech-startup hubs in Asia and Europe through the lens of entrepreneurial ecosystems and startup success factors. We adopt a prospective observational study drawing on 2,636 records collected between 2018 and 2020, and apply qualitative comparative analysis of 35 ecosystem cases to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach talent-density configuration is necessary in 92% of high-growth cases, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in tech-startup hubs in Asia and Europe. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1116" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1116", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "12", "start_page": "98", "end_page": "114", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "entrepreneurship", "ecosystems", "startups", "venture capital", "innovation" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Natural Language Processing Techniques for Low-Resource Language Translation: A Empirical Study (2020)", "author": [ { "name": "Dr. Sipho Naidoo", "affiliation": "Stellenbosch University" }, { "name": "Dr. Lars Visser", "affiliation": "Delft University of Technology" } ], "abstract": "This study investigates African and South Asian languages through the lens of natural language processing techniques for low-resource language translation. We adopt a prospective observational study drawing on 1,869 cases collected between 2018 and 2020, and apply transformer with cross-lingual transfer to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach +6.4 BLEU over the baseline, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in African and South Asian languages. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1117" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1117", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "12", "start_page": "115", "end_page": "129", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "NLP", "low-resource languages", "machine translation", "transfer learning", "multilingual models" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Precision Medicine Approaches in Cancer Treatment: A Multinational Study (2020)", "author": [ { "name": "Dr. Lena Fischer", "affiliation": "Technical University of Munich" }, { "name": "Dr. Elsa Eklund", "affiliation": "Karolinska Institute" } ], "abstract": "This study investigates metastatic colorectal cohorts through the lens of precision medicine approaches in cancer treatment. We adopt a systematic review and meta-analysis drawing on 2,048 instances collected between 2018 and 2020, and apply tumor-mutational profiling with matched-therapy assignment to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach median progression-free survival extended by 4.7 months, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in metastatic colorectal cohorts. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1118" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1118", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "12", "start_page": "130", "end_page": "145", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "precision medicine", "oncology", "genomics", "targeted therapy", "biomarkers" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Edge Computing Architectures for Real-Time IoT Data Processing: A Longitudinal Study (2020)", "author": [ { "name": "Dr. Jun Hao Ong", "affiliation": "Nanyang Technological University" }, { "name": "Dr. Noa Levi", "affiliation": "Tel Aviv University" } ], "abstract": "This study investigates industrial sensor networks through the lens of edge computing architectures for real-time iot data processing. We adopt a randomized controlled trial drawing on 980 instances collected between 2018 and 2020, and apply container-based microservice orchestration to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach end-to-end latency below 80 ms at the 95th percentile, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in industrial sensor networks. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2020", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1119" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1119", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "6", "number": "12", "start_page": "146", "end_page": "163", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "edge computing", "IoT", "real-time systems", "data streaming", "latency" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Robotic Process Automation in Manufacturing Quality Control: A Cross-Sectoral Study (2021)", "author": [ { "name": "Dr. Otieno Odhiambo", "affiliation": "University of Nairobi" }, { "name": "Dr. Saoirse O'Brien", "affiliation": "University College Dublin" } ], "abstract": "This study investigates automotive assembly lines through the lens of robotic process automation in manufacturing quality control. We adopt a sequential explanatory design drawing on 544 participants collected between 2019 and 2021, and apply vision-guided cobot inspection cells to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach defect-escape rate reduced by 64%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in automotive assembly lines. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1120" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1120", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "1", "start_page": "1", "end_page": "15", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "robotics", "manufacturing", "quality control", "automation", "industry 4.0" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Gender Inequality in the Workplace: A Cross-National Comparison: A Empirical Study (2021)", "author": [ { "name": "Prof. Matthias Lehmann", "affiliation": "University of Geneva" }, { "name": "Dr. Andi Nugroho", "affiliation": "University of Indonesia" } ], "abstract": "This study investigates white-collar employment in 14 countries through the lens of gender inequality in the workplace: a cross-national comparison. We adopt a mixed-methods design drawing on 3,007 observations collected between 2019 and 2021, and apply decomposition analysis of wage gaps to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach unexplained-gap component averages 9.4%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in white-collar employment in 14 countries. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1121" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1121", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "1", "start_page": "16", "end_page": "33", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "gender inequality", "workplace", "cross-national", "sociology", "labor" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Behavioral Economics of Decision Making Under Uncertainty", "author": [ { "name": "Dr. Rana Fayed", "affiliation": "Alexandria University" }, { "name": "Dr. Eitan Mizrahi", "affiliation": "Technion" } ], "abstract": "This study investigates household financial decisions through the lens of behavioral economics of decision making under uncertainty. We adopt a randomized controlled trial drawing on 1,635 observations collected between 2019 and 2021, and apply incentivized lab and field experiments (n = 2,100) to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach loss-aversion coefficient estimated at 2.13, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in household financial decisions. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1122" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1122", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "1", "start_page": "34", "end_page": "50", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "behavioral economics", "decision making", "uncertainty", "heuristics", "experiments" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Maternal Health Outcomes in Low-Resource Settings: A Empirical Study (2021)", "author": [ { "name": "Dr. Julien Moreau", "affiliation": "École Normale Supérieure" }, { "name": "Dr. Noah Macarthur", "affiliation": "University of Melbourne" } ], "abstract": "This study investigates rural districts in Sub-Saharan Africa through the lens of maternal health outcomes in low-resource settings. We adopt a comparative case-study approach drawing on 3,130 subjects collected between 2019 and 2021, and apply stepped-wedge cluster trial across 18 facilities to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach obstetric-complication response time halved, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in rural districts in Sub-Saharan Africa. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1123" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1123", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "1", "start_page": "51", "end_page": "67", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "maternal health", "global health", "midwifery", "health systems", "equity" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Risk Management Frameworks for Financial Services in Volatile Markets", "author": [ { "name": "Dr. Piotr Kamiński", "affiliation": "Warsaw University of Technology" }, { "name": "Dr. Njoroge Otieno", "affiliation": "Kenyatta University" } ], "abstract": "This study investigates mid-size commercial banks through the lens of risk management frameworks for financial services in volatile markets. We adopt a systematic review and meta-analysis drawing on 3,058 records collected between 2019 and 2021, and apply Monte-Carlo stress testing under 50,000 macro paths to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach expected-shortfall coverage improved by 19%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in mid-size commercial banks. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1124" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1124", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "1", "start_page": "68", "end_page": "84", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "risk management", "financial services", "volatility", "Basel", "compliance" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Recommender Systems Using Hybrid Collaborative and Content-Based Filtering", "author": [ { "name": "Dr. Tomasz Nowak", "affiliation": "AGH University" }, { "name": "Prof. Sophie Steiner", "affiliation": "University of Zurich" } ], "abstract": "This study investigates online education catalogs through the lens of recommender systems using hybrid collaborative and content-based filtering. We adopt a prospective observational study drawing on 2,518 records collected between 2019 and 2021, and apply neural collaborative filtering with content embeddings to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach NDCG@10 improvement of 18% over baseline, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in online education catalogs. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1125" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1125", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "1", "start_page": "85", "end_page": "102", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "recommender systems", "collaborative filtering", "content-based", "hybrid models", "personalization" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Effects of Income Inequality on Health and Wellbeing: A Multinational Study (2021)", "author": [ { "name": "Dr. Anja Lehmann", "affiliation": "ETH Zurich" }, { "name": "Dr. Sven Pedersen", "affiliation": "University of Bergen" } ], "abstract": "This study investigates OECD member economies through the lens of effects of income inequality on health and wellbeing. We adopt a prospective observational study drawing on 3,400 experimental units collected between 2019 and 2021, and apply panel regression with country fixed effects to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 1-point Gini increase associated with 0.7% drop in self-rated health, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in OECD member economies. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1126" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1126", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "1", "start_page": "103", "end_page": "117", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "income inequality", "health", "wellbeing", "social determinants", "public policy" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Online Learning Effectiveness in Higher Education During the Post-pandemic Era", "author": [ { "name": "Prof. Tobias Vogel", "affiliation": "ETH Zurich" }, { "name": "Dr. Chloe Ashford", "affiliation": "University of Queensland" } ], "abstract": "This study investigates post-pandemic through the lens of online learning effectiveness in higher education during the post-pandemic era. We adopt a mixed-methods design drawing on 1,418 participants collected between 2019 and 2021, and apply meta-analysis of 142 controlled studies to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach pooled effect size d = 0.21 favoring blended designs, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in post-pandemic. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1127" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1127", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "1", "start_page": "118", "end_page": "133", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "online learning", "higher education", "educational technology", "pedagogy", "outcomes" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Refugee Law and Statelessness in the 21st Century: A Longitudinal Study (2021)", "author": [ { "name": "Dr. Larissa Silva", "affiliation": "Federal University of Minas Gerais" }, { "name": "Dr. Jack Pemberton", "affiliation": "Monash University" } ], "abstract": "This study investigates protracted displacement contexts through the lens of refugee law and statelessness in the 21st century. We adopt a mixed-methods design drawing on 2,313 observations collected between 2019 and 2021, and apply doctrinal review and field interviews in three host states to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach identification of four protection-gap categories, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in protracted displacement contexts. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1128" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1128", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "1", "start_page": "134", "end_page": "148", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "refugee law", "statelessness", "international law", "human rights", "migration" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Teacher Professional Development and Student Achievement", "author": [ { "name": "Dr. Matteo Romano", "affiliation": "University of Padua" }, { "name": "Dr. Tae-woo Cho", "affiliation": "POSTECH" } ], "abstract": "This study investigates literacy instruction in primary grades through the lens of teacher professional development and student achievement. We adopt a mixed-methods design drawing on 3,151 records collected between 2019 and 2021, and apply quasi-experimental design with propensity matching to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach reading-fluency gains of 0.31 SD, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in literacy instruction in primary grades. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1129" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1129", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "1", "start_page": "149", "end_page": "166", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "teacher development", "professional learning", "student achievement", "pedagogy", "education policy" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Thermal Management Strategies for High-Density Data Center Cooling: A Cross-Sectoral Study (2021)", "author": [ { "name": "Dr. Tunde Obi", "affiliation": "Ahmadu Bello University" }, { "name": "Dr. Antoine Rousseau", "affiliation": "INSEAD" } ], "abstract": "This study investigates hyperscale facilities through the lens of thermal management strategies for high-density data center cooling. We adopt a systematic review and meta-analysis drawing on 2,570 records collected between 2019 and 2021, and apply two-phase immersion cooling with airflow re-design to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach PUE reduction from 1.42 to 1.13, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in hyperscale facilities. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1130" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1130", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "2", "start_page": "1", "end_page": "18", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "thermal management", "data centers", "cooling", "energy efficiency", "HVAC" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Cybercrime Legislation and Cross-Border Enforcement Challenges: A Comprehensive Study (2021)", "author": [ { "name": "Prof. Nicolás Fernández", "affiliation": "Universidad Austral" }, { "name": "Prof. Sarah Robinson", "affiliation": "Harvard University" } ], "abstract": "This study investigates transnational ransomware investigations through the lens of cybercrime legislation and cross-border enforcement challenges. We adopt a sequential explanatory design drawing on 4,406 records collected between 2019 and 2021, and apply case-study analysis of 18 multi-jurisdiction prosecutions to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach average MLAT response time of 14 months identified as primary bottleneck, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in transnational ransomware investigations. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1131" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1131", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "2", "start_page": "19", "end_page": "34", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "cybercrime", "international law", "enforcement", "jurisdiction", "legal frameworks" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Consumer Behavior in Omnichannel Retail Environments: A Multinational Study (2021)", "author": [ { "name": "Dr. Maya Shapira", "affiliation": "Technion" }, { "name": "Dr. Reem Al-Otaibi", "affiliation": "King Abdullah University of Science and Technology" } ], "abstract": "This study investigates fashion and grocery retail through the lens of consumer behavior in omnichannel retail environments. We adopt a longitudinal cohort study drawing on 1,037 experimental units collected between 2019 and 2021, and apply mixed-methods survey of 1,800 shoppers to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach channel-switching intention reduced by 27% with unified loyalty, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in fashion and grocery retail. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1132" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1132", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "2", "start_page": "35", "end_page": "52", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "consumer behavior", "omnichannel", "retail", "customer experience", "marketing" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Anomaly Detection in Cybersecurity Using Unsupervised Learning: A Longitudinal Study (2021)", "author": [ { "name": "Dr. Isabela Costa", "affiliation": "University of Campinas" }, { "name": "Dr. Ava MacDonald", "affiliation": "McGill University" } ], "abstract": "This study investigates enterprise network traffic through the lens of anomaly detection in cybersecurity using unsupervised learning. We adopt a randomized controlled trial drawing on 4,379 experimental units collected between 2019 and 2021, and apply variational autoencoder with reconstruction-error scoring to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach ROC-AUC of 0.948 on the CICIDS dataset, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in enterprise network traffic. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1133" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1133", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "2", "start_page": "53", "end_page": "70", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "cybersecurity", "anomaly detection", "unsupervised learning", "autoencoders", "intrusion detection" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Refugee Law and Statelessness in the 21st Century: A Comparative Study (2021)", "author": [ { "name": "Prof. Ava Whitehouse", "affiliation": "Queen's University" }, { "name": "Dr. Mustafa Öztürk", "affiliation": "Bogaziçi University" } ], "abstract": "This study investigates protracted displacement contexts through the lens of refugee law and statelessness in the 21st century. We adopt a comparative case-study approach drawing on 3,456 experimental units collected between 2019 and 2021, and apply doctrinal review and field interviews in three host states to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach identification of four protection-gap categories, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in protracted displacement contexts. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1134" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1134", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "2", "start_page": "71", "end_page": "87", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "refugee law", "statelessness", "international law", "human rights", "migration" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Structural Health Monitoring of Bridges Using Wireless Sensor Networks", "author": [ { "name": "Prof. Folake Nwosu", "affiliation": "Obafemi Awolowo University" }, { "name": "Dr. Wanjiku Maina", "affiliation": "Kenyatta University" } ], "abstract": "This study investigates highway bridge spans through the lens of structural health monitoring of bridges using wireless sensor networks. We adopt a longitudinal cohort study drawing on 2,232 observations collected between 2019 and 2021, and apply MEMS-accelerometer mesh with modal-parameter extraction to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach early-warning detection of 3-mm crack growth events, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in highway bridge spans. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1135" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1135", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "2", "start_page": "88", "end_page": "105", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "structural health monitoring", "wireless sensors", "bridges", "civil engineering", "vibration analysis" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Hydrogen Fuel Cell Performance Optimization for Heavy-Duty Transport: A Longitudinal Study (2021)", "author": [ { "name": "Prof. Ryo Takahashi", "affiliation": "Tohoku University" }, { "name": "Prof. Gabriela Reyes", "affiliation": "CINVESTAV" } ], "abstract": "This study investigates long-haul truck powertrains through the lens of hydrogen fuel cell performance optimization for heavy-duty transport. We adopt a sequential explanatory design drawing on 4,309 records collected between 2019 and 2021, and apply membrane-electrode assembly redesign with thermal control to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach stack efficiency raised to 58%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in long-haul truck powertrains. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1136" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1136", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "2", "start_page": "106", "end_page": "122", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "hydrogen", "fuel cells", "heavy-duty transport", "clean energy", "efficiency" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Air Quality Monitoring Networks in Megacities: A Comprehensive Study (2021)", "author": [ { "name": "Dr. Akinyi Kipchoge", "affiliation": "Moi University" }, { "name": "Dr. Alessandro Romano", "affiliation": "Sapienza University of Rome" } ], "abstract": "This study investigates South Asian and African megacities through the lens of air quality monitoring networks in megacities. We adopt a prospective observational study drawing on 1,262 participants collected between 2019 and 2021, and apply low-cost sensor calibration with reference-grade integration to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach PM2.5 measurement uncertainty reduced to ±18%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in South Asian and African megacities. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1137" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1137", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "2", "start_page": "123", "end_page": "140", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "air quality", "megacities", "monitoring", "sensors", "pollution" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Long-Term Effects of Air Pollution on Respiratory Health", "author": [ { "name": "Dr. Marek Szymański", "affiliation": "University of Warsaw" }, { "name": "Dr. Cian Walsh", "affiliation": "University College Cork" } ], "abstract": "This study investigates urban cohorts in South Asia through the lens of long-term effects of air pollution on respiratory health. We adopt a sequential explanatory design drawing on 258 subjects collected between 2019 and 2021, and apply 10-year retrospective cohort with exposure modeling to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 10 µg/m³ PM2.5 increase linked to 12% higher COPD incidence, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in urban cohorts in South Asia. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1138" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1138", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "2", "start_page": "141", "end_page": "158", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "air pollution", "respiratory health", "epidemiology", "PM2.5", "pulmonary disease" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Autonomous Vehicle Perception Systems Using Multi-Sensor Fusion: A Comprehensive Study (2021)", "author": [ { "name": "Dr. James Martinez", "affiliation": "Stanford University" }, { "name": "Prof. Beatriz Ferreira", "affiliation": "University of Campinas" } ], "abstract": "This study investigates urban driving scenarios through the lens of autonomous vehicle perception systems using multi-sensor fusion. We adopt a prospective observational study drawing on 2,530 records collected between 2019 and 2021, and apply Kalman-filter fusion of LiDAR, camera, and radar streams to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach object-detection mAP of 0.87 across 12 weather conditions, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in urban driving scenarios. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1139" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1139", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "2", "start_page": "159", "end_page": "174", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "autonomous vehicles", "sensor fusion", "LiDAR", "perception", "robotics" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Digital Transformation and Organizational Agility: A Cross-Sectoral Study (2021)", "author": [ { "name": "Dr. Si Ying Chua", "affiliation": "Nanyang Technological University" }, { "name": "Dr. Lan Zhao", "affiliation": "Nanjing University" } ], "abstract": "This study investigates mid-sized service firms through the lens of digital transformation and organizational agility. We adopt a mixed-methods design drawing on 3,308 records collected between 2019 and 2021, and apply longitudinal case-study comparison across 18 organizations to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach agility score gains of 2.3 points on a 7-point scale, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in mid-sized service firms. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1140" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1140", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "3", "start_page": "1", "end_page": "16", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "digital transformation", "organizational agility", "change management", "ICT", "strategy" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Data Protection and Privacy Regulation in the Era of Big Data: A Longitudinal Study (2021)", "author": [ { "name": "Dr. Sven Johansen", "affiliation": "University of Bergen" }, { "name": "Dr. Johan Holmberg", "affiliation": "KTH Royal Institute of Technology" } ], "abstract": "This study investigates cross-border personal-data flows through the lens of data protection and privacy regulation in the era of big data. We adopt a quasi-experimental design drawing on 739 subjects collected between 2019 and 2021, and apply comparative legal analysis across 12 jurisdictions to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach convergence on three regulatory archetypes, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in cross-border personal-data flows. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1141" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1141", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "3", "start_page": "17", "end_page": "31", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "data protection", "privacy", "GDPR", "big data", "regulation" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Reinforcement Learning Approaches for Adaptive Network Resource Allocation: A Multinational Study (2021)", "author": [ { "name": "Dr. Yuki Yamamoto", "affiliation": "Tokyo Institute of Technology" }, { "name": "Dr. Anna Wójcik", "affiliation": "AGH University" } ], "abstract": "This study investigates wireless network slicing through the lens of reinforcement learning approaches for adaptive network resource allocation. We adopt a longitudinal cohort study drawing on 3,060 observations collected between 2019 and 2021, and apply deep Q-network with prioritized replay to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 23% reduction in average packet latency, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in wireless network slicing. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1142" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1142", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "3", "start_page": "32", "end_page": "46", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "reinforcement learning", "networks", "resource allocation", "Q-learning", "optimization" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Online Learning Effectiveness in Higher Education During the Post-pandemic Era: A Longitudinal Study (2021)", "author": [ { "name": "Prof. Sofia Conti", "affiliation": "University of Padua" }, { "name": "Dr. Ciara Ryan", "affiliation": "University College Dublin" } ], "abstract": "This study investigates post-pandemic through the lens of online learning effectiveness in higher education during the post-pandemic era. We adopt a systematic review and meta-analysis drawing on 4,047 participants collected between 2019 and 2021, and apply meta-analysis of 142 controlled studies to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach pooled effect size d = 0.21 favoring blended designs, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in post-pandemic. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1143" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1143", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "3", "start_page": "47", "end_page": "64", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "online learning", "higher education", "educational technology", "pedagogy", "outcomes" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Hydrogen Fuel Cell Performance Optimization for Heavy-Duty Transport: A Multinational Study (2021)", "author": [ { "name": "Dr. Siddharth Bhatt", "affiliation": "Indian Institute of Science" }, { "name": "Prof. Abdullah Al-Mutairi", "affiliation": "King Fahd University of Petroleum and Minerals" } ], "abstract": "This study investigates long-haul truck powertrains through the lens of hydrogen fuel cell performance optimization for heavy-duty transport. We adopt a sequential explanatory design drawing on 800 cases collected between 2019 and 2021, and apply membrane-electrode assembly redesign with thermal control to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach stack efficiency raised to 58%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in long-haul truck powertrains. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1144" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1144", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "3", "start_page": "65", "end_page": "80", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "hydrogen", "fuel cells", "heavy-duty transport", "clean energy", "efficiency" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Trust in Institutions in the Digital Age: A Empirical Study (2021)", "author": [ { "name": "Dr. Shira Goldstein", "affiliation": "Technion" }, { "name": "Dr. Tunde Adeyemi", "affiliation": "University of Ibadan" } ], "abstract": "This study investigates European public-opinion surveys through the lens of trust in institutions in the digital age. We adopt a longitudinal cohort study drawing on 3,142 cases collected between 2019 and 2021, and apply multilevel modeling across 24 countries to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach platform-news consumption explains 9% of trust variance, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in European public-opinion surveys. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1145" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1145", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "3", "start_page": "81", "end_page": "98", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "institutional trust", "digital media", "political science", "public opinion", "democracy" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Antitrust Law in the Age of Digital Platforms: A Multinational Study (2021)", "author": [ { "name": "Dr. Javier García", "affiliation": "University of Barcelona" }, { "name": "Prof. Markus Neumann", "affiliation": "Humboldt University Berlin" } ], "abstract": "This study investigates two-sided digital marketplaces through the lens of antitrust law in the age of digital platforms. We adopt a quasi-experimental design drawing on 3,145 experimental units collected between 2019 and 2021, and apply economic-modeling-informed legal analysis to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach proposal of three new theories of harm, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in two-sided digital marketplaces. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1146" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1146", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "3", "start_page": "99", "end_page": "116", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "antitrust", "competition law", "digital platforms", "monopoly", "regulation" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Computational Fluid Dynamics Analysis of Wind Turbine Blade Optimization: A Multinational Study (2021)", "author": [ { "name": "Dr. Agnieszka Nowak", "affiliation": "AGH University" }, { "name": "Dr. Mostafa Khalil", "affiliation": "American University in Cairo" } ], "abstract": "This study investigates horizontal-axis turbine rotors through the lens of computational fluid dynamics analysis of wind turbine blade optimization. We adopt a comparative case-study approach drawing on 3,737 cases collected between 2019 and 2021, and apply RANS-based CFD coupled with a genetic optimizer to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 5.8% gain in annual energy production, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in horizontal-axis turbine rotors. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1147" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1147", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "3", "start_page": "117", "end_page": "131", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "CFD", "wind turbines", "aerodynamics", "blade design", "renewable energy" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Climate Change Adaptation Strategies for Coastal Cities", "author": [ { "name": "Dr. Sakura Kobayashi", "affiliation": "Kyoto University" }, { "name": "Dr. Kari Kristiansen", "affiliation": "Norwegian University of Science and Technology" } ], "abstract": "This study investigates mid-size coastal municipalities through the lens of climate change adaptation strategies for coastal cities. We adopt a prospective observational study drawing on 699 observations collected between 2019 and 2021, and apply vulnerability-index modeling with adaptation-pathway design to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach prioritized 12 high-leverage adaptation actions, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in mid-size coastal municipalities. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1148" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1148", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "3", "start_page": "132", "end_page": "149", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "climate adaptation", "coastal cities", "sea level rise", "resilience", "urban planning" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Telemedicine Adoption in Rural Communities: Barriers and Enablers: A Empirical Study (2021)", "author": [ { "name": "Prof. Achieng Wekesa", "affiliation": "Kenyatta University" }, { "name": "Dr. Niamh Ryan", "affiliation": "University College Cork" } ], "abstract": "This study investigates primary-care clinics in low-density regions through the lens of telemedicine adoption in rural communities: barriers and enablers. We adopt a mixed-methods design drawing on 1,500 subjects collected between 2019 and 2021, and apply mixed-methods evaluation across 24 clinics to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach consultation volumes rose 3.1× over 12 months, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in primary-care clinics in low-density regions. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1149" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1149", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "3", "start_page": "150", "end_page": "167", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "telemedicine", "rural health", "digital health", "healthcare access", "adoption" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Digital Divide and Access to Public Services in Rural Areas", "author": [ { "name": "Prof. Lucas Costa", "affiliation": "Federal University of Rio de Janeiro" }, { "name": "Dr. So-yeon Kang", "affiliation": "Hanyang University" } ], "abstract": "This study investigates e-government rollout in low-bandwidth regions through the lens of digital divide and access to public services in rural areas. We adopt a quasi-experimental design drawing on 1,963 observations collected between 2019 and 2021, and apply geo-spatial analysis combined with citizen surveys to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach service-uptake gap of 34 percentage points vs. urban areas, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in e-government rollout in low-bandwidth regions. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1150" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1150", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "4", "start_page": "1", "end_page": "15", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "digital divide", "rural access", "public services", "ICT", "equity" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Thermal Management Strategies for High-Density Data Center Cooling: A Comprehensive Study (2021)", "author": [ { "name": "Dr. Takashi Ito", "affiliation": "University of Tokyo" }, { "name": "Dr. Lara Weber", "affiliation": "Technical University of Munich" } ], "abstract": "This study investigates hyperscale facilities through the lens of thermal management strategies for high-density data center cooling. We adopt a comparative case-study approach drawing on 3,526 subjects collected between 2019 and 2021, and apply two-phase immersion cooling with airflow re-design to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach PUE reduction from 1.42 to 1.13, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in hyperscale facilities. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1151" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1151", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "4", "start_page": "16", "end_page": "33", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "thermal management", "data centers", "cooling", "energy efficiency", "HVAC" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Behavioral Economics of Decision Making Under Uncertainty: A Multinational Study (2021)", "author": [ { "name": "Dr. Camila Pereira", "affiliation": "University of São Paulo" }, { "name": "Dr. Sanne Mulder", "affiliation": "Leiden University" } ], "abstract": "This study investigates household financial decisions through the lens of behavioral economics of decision making under uncertainty. We adopt a comparative case-study approach drawing on 553 facilities collected between 2019 and 2021, and apply incentivized lab and field experiments (n = 2,100) to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach loss-aversion coefficient estimated at 2.13, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in household financial decisions. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1152" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1152", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "4", "start_page": "34", "end_page": "48", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "behavioral economics", "decision making", "uncertainty", "heuristics", "experiments" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Gamification in K-12 Classrooms: Engagement and Learning Outcomes: A Comprehensive Study (2021)", "author": [ { "name": "Prof. Sophie Meier", "affiliation": "University of Geneva" }, { "name": "Prof. Abdullah Al-Saud", "affiliation": "King Saud University" } ], "abstract": "This study investigates middle-school mathematics through the lens of gamification in k-12 classrooms: engagement and learning outcomes. We adopt a systematic review and meta-analysis drawing on 2,086 records collected between 2019 and 2021, and apply randomized trial across 36 classrooms to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach achievement gains of 14% on standardized assessments, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in middle-school mathematics. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1153" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1153", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "4", "start_page": "49", "end_page": "63", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "gamification", "K-12", "engagement", "learning outcomes", "educational games" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Inclusive Education Practices for Students with Disabilities: A Empirical Study (2021)", "author": [ { "name": "Dr. Si Ying Ong", "affiliation": "Singapore Management University" }, { "name": "Dr. Faisal Al-Mutairi", "affiliation": "King Abdullah University of Science and Technology" } ], "abstract": "This study investigates secondary mainstream classrooms through the lens of inclusive education practices for students with disabilities. We adopt a randomized controlled trial drawing on 708 observations collected between 2019 and 2021, and apply multi-site case study of 22 schools to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach inclusion-climate index improved by 28%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in secondary mainstream classrooms. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1154" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1154", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "4", "start_page": "64", "end_page": "79", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "inclusive education", "disabilities", "accessibility", "special needs", "equity" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Federated Learning for Privacy-Preserving Analytics in Hospital networks: A Longitudinal Study (2021)", "author": [ { "name": "Prof. Felix Fischer", "affiliation": "University of Bonn" }, { "name": "Dr. Henrik Hansen", "affiliation": "Norwegian Polar Institute" } ], "abstract": "This study investigates hospital networks through the lens of federated learning for privacy-preserving analytics in hospital networks. We adopt a mixed-methods design drawing on 942 cases collected between 2019 and 2021, and apply federated averaging with secure aggregation to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach comparable accuracy to centralized training (Δ < 1.5%), with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in hospital networks. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1155" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1155", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "4", "start_page": "80", "end_page": "96", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "federated learning", "privacy", "distributed systems", "differential privacy", "edge computing" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Biodiversity Conservation in Tropical Forest Ecosystems: A Comprehensive Study (2021)", "author": [ { "name": "Dr. Shira Levi", "affiliation": "Tel Aviv University" }, { "name": "Dr. Emre Şahin", "affiliation": "Middle East Technical University" } ], "abstract": "This study investigates Amazonian and Congo basin reserves through the lens of biodiversity conservation in tropical forest ecosystems. We adopt a comparative case-study approach drawing on 2,401 cases collected between 2019 and 2021, and apply camera-trap and acoustic survey across 38 plots to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach species richness 27% higher in community-managed plots, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in Amazonian and Congo basin reserves. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1156" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1156", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "4", "start_page": "97", "end_page": "114", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "biodiversity", "tropical forests", "conservation", "ecology", "ecosystems" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Intellectual Property Rights in Biotechnology and Genetic Research", "author": [ { "name": "Dr. Da-eun Yoon", "affiliation": "Korea University" }, { "name": "Dr. Elin Lindberg", "affiliation": "Uppsala University" } ], "abstract": "This study investigates CRISPR-related patent landscapes through the lens of intellectual property rights in biotechnology and genetic research. We adopt a sequential explanatory design drawing on 1,716 cases collected between 2019 and 2021, and apply patent-landscape analytics on 4,200 filings to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach ownership-concentration index Herfindahl 0.31, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in CRISPR-related patent landscapes. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1157" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1157", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "4", "start_page": "115", "end_page": "130", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "intellectual property", "biotechnology", "genetic research", "patents", "innovation" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Supply Chain Resilience in the Face of Global Disruptions: A Longitudinal Study (2021)", "author": [ { "name": "Dr. Chloe Kingsley", "affiliation": "Australian National University" }, { "name": "Dr. Isabela Costa", "affiliation": "Federal University of Rio de Janeiro" } ], "abstract": "This study investigates consumer-electronics supply networks through the lens of supply chain resilience in the face of global disruptions. We adopt a quasi-experimental design drawing on 4,498 experimental units collected between 2019 and 2021, and apply structural-equation modeling on 412 firm responses to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach supplier diversification effect size β = 0.41, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in consumer-electronics supply networks. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1158" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1158", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "4", "start_page": "131", "end_page": "147", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "supply chain", "resilience", "risk management", "global trade", "disruption" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Cybercrime Legislation and Cross-Border Enforcement Challenges: A Longitudinal Study (2021)", "author": [ { "name": "Dr. Daniela Vásquez", "affiliation": "Tecnológico de Monterrey" }, { "name": "Dr. Liv Pedersen", "affiliation": "Norwegian University of Science and Technology" } ], "abstract": "This study investigates transnational ransomware investigations through the lens of cybercrime legislation and cross-border enforcement challenges. We adopt a mixed-methods design drawing on 4,261 cases collected between 2019 and 2021, and apply case-study analysis of 18 multi-jurisdiction prosecutions to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach average MLAT response time of 14 months identified as primary bottleneck, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in transnational ransomware investigations. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1159" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1159", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "4", "start_page": "148", "end_page": "163", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "cybercrime", "international law", "enforcement", "jurisdiction", "legal frameworks" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Cybercrime Legislation and Cross-Border Enforcement Challenges: A Multinational Study (2021)", "author": [ { "name": "Prof. Ethan Macarthur", "affiliation": "Australian National University" }, { "name": "Dr. Wei Ming Teo", "affiliation": "Nanyang Technological University" } ], "abstract": "This study investigates transnational ransomware investigations through the lens of cybercrime legislation and cross-border enforcement challenges. We adopt a comparative case-study approach drawing on 2,794 observations collected between 2019 and 2021, and apply case-study analysis of 18 multi-jurisdiction prosecutions to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach average MLAT response time of 14 months identified as primary bottleneck, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in transnational ransomware investigations. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1160" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1160", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "5", "start_page": "1", "end_page": "18", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "cybercrime", "international law", "enforcement", "jurisdiction", "legal frameworks" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Teacher Professional Development and Student Achievement: A Comparative Study (2021)", "author": [ { "name": "Dr. Khalid Al-Saud", "affiliation": "King Fahd University of Petroleum and Minerals" }, { "name": "Dr. Elena Hernández", "affiliation": "Autonomous University of Madrid" } ], "abstract": "This study investigates literacy instruction in primary grades through the lens of teacher professional development and student achievement. We adopt a systematic review and meta-analysis drawing on 4,442 records collected between 2019 and 2021, and apply quasi-experimental design with propensity matching to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach reading-fluency gains of 0.31 SD, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in literacy instruction in primary grades. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1161" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1161", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "5", "start_page": "19", "end_page": "35", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "teacher development", "professional learning", "student achievement", "pedagogy", "education policy" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Renewable Energy Policy and the Just Transition: A Empirical Study (2021)", "author": [ { "name": "Dr. Hui Wu", "affiliation": "Peking University" }, { "name": "Dr. Thandi Mthembu", "affiliation": "University of Pretoria" } ], "abstract": "This study investigates coal-dependent regional economies through the lens of renewable energy policy and the just transition. We adopt a mixed-methods design drawing on 3,369 experimental units collected between 2019 and 2021, and apply policy-scenario modeling with stakeholder workshops to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach identification of 7 transition-readiness indicators, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in coal-dependent regional economies. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1162" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1162", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "5", "start_page": "36", "end_page": "51", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "renewable energy", "policy", "just transition", "sustainability", "equity" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Pharmacological Innovations in Treatment of Antibiotic-Resistant Infections: A Comparative Study (2021)", "author": [ { "name": "Dr. Otieno Wairimu", "affiliation": "Strathmore University" }, { "name": "Dr. Si Ying Ng", "affiliation": "Singapore Management University" } ], "abstract": "This study investigates carbapenem-resistant Enterobacterales through the lens of pharmacological innovations in treatment of antibiotic-resistant infections. We adopt a comparative case-study approach drawing on 2,203 facilities collected between 2019 and 2021, and apply in-vitro screening of 1,200 compound candidates to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach two lead compounds with MIC ≤ 1 µg/mL, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in carbapenem-resistant Enterobacterales. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1163" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1163", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "5", "start_page": "52", "end_page": "67", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "antibiotics", "drug resistance", "pharmacology", "infectious disease", "novel therapeutics" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Inclusive Education Practices for Students with Disabilities: A Multinational Study (2021)", "author": [ { "name": "Dr. Charlotte Whitley", "affiliation": "University of Melbourne" }, { "name": "Dr. Felix Becker", "affiliation": "ETH affiliated TU Berlin" } ], "abstract": "This study investigates secondary mainstream classrooms through the lens of inclusive education practices for students with disabilities. We adopt a quasi-experimental design drawing on 423 instances collected between 2019 and 2021, and apply multi-site case study of 22 schools to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach inclusion-climate index improved by 28%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in secondary mainstream classrooms. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1164" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1164", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "5", "start_page": "68", "end_page": "85", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "inclusive education", "disabilities", "accessibility", "special needs", "equity" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Structural Health Monitoring of Bridges Using Wireless Sensor Networks: A Empirical Study (2021)", "author": [ { "name": "Dr. Ayşe Doğan", "affiliation": "Istanbul Technical University" }, { "name": "Dr. Tyler Whitehouse", "affiliation": "University of British Columbia" } ], "abstract": "This study investigates highway bridge spans through the lens of structural health monitoring of bridges using wireless sensor networks. We adopt a sequential explanatory design drawing on 3,436 subjects collected between 2019 and 2021, and apply MEMS-accelerometer mesh with modal-parameter extraction to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach early-warning detection of 3-mm crack growth events, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in highway bridge spans. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1165" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1165", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "5", "start_page": "86", "end_page": "103", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "structural health monitoring", "wireless sensors", "bridges", "civil engineering", "vibration analysis" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Gender Inequality in the Workplace: A Cross-National Comparison: A Comprehensive Study (2021)", "author": [ { "name": "Dr. Elin Forsberg", "affiliation": "Lund University" }, { "name": "Dr. Selin Demir", "affiliation": "Bilkent University" } ], "abstract": "This study investigates white-collar employment in 14 countries through the lens of gender inequality in the workplace: a cross-national comparison. We adopt a systematic review and meta-analysis drawing on 1,255 subjects collected between 2019 and 2021, and apply decomposition analysis of wage gaps to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach unexplained-gap component averages 9.4%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in white-collar employment in 14 countries. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1166" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1166", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "5", "start_page": "104", "end_page": "118", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "gender inequality", "workplace", "cross-national", "sociology", "labor" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Automated Code Generation Using Sequence-to-Sequence Models: A Empirical Study (2021)", "author": [ { "name": "Dr. Maya Cohen", "affiliation": "Tel Aviv University" }, { "name": "Dr. Madison McKenzie", "affiliation": "McGill University" } ], "abstract": "This study investigates Python utility functions through the lens of automated code generation using sequence-to-sequence models. We adopt a randomized controlled trial drawing on 3,438 records collected between 2019 and 2021, and apply encoder-decoder transformer fine-tuned on GitHub corpora to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach pass@1 of 41% on a curated benchmark, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in Python utility functions. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1167" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1167", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "5", "start_page": "119", "end_page": "134", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "code generation", "program synthesis", "sequence models", "software engineering", "language models" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Thermal Management Strategies for High-Density Data Center Cooling: A Empirical Study (2021)", "author": [ { "name": "Dr. Roni Rosenberg", "affiliation": "Hebrew University of Jerusalem" }, { "name": "Dr. Stephanie Green", "affiliation": "Princeton University" } ], "abstract": "This study investigates hyperscale facilities through the lens of thermal management strategies for high-density data center cooling. We adopt a mixed-methods design drawing on 2,812 records collected between 2019 and 2021, and apply two-phase immersion cooling with airflow re-design to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach PUE reduction from 1.42 to 1.13, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in hyperscale facilities. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1168" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1168", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "5", "start_page": "135", "end_page": "151", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "thermal management", "data centers", "cooling", "energy efficiency", "HVAC" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Smart Material Composites for Self-Healing Infrastructure: A Comparative Study (2021)", "author": [ { "name": "Dr. Astrid Holmberg", "affiliation": "Uppsala University" }, { "name": "Dr. Julien Rousseau", "affiliation": "INSEAD" } ], "abstract": "This study investigates concrete pavement systems through the lens of smart material composites for self-healing infrastructure. We adopt a mixed-methods design drawing on 803 cases collected between 2019 and 2021, and apply microcapsule-embedded polymer-modified concrete to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 78% recovery of flexural strength after fracture, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in concrete pavement systems. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1169" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1169", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "5", "start_page": "152", "end_page": "168", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "smart materials", "self-healing", "composites", "infrastructure", "durability" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Customer Relationship Management Analytics for Service Industries: A Multinational Study (2021)", "author": [ { "name": "Dr. Lerato Mthembu", "affiliation": "University of Pretoria" }, { "name": "Dr. Si Ying Chua", "affiliation": "Singapore Management University" } ], "abstract": "This study investigates telecom subscriber bases through the lens of customer relationship management analytics for service industries. We adopt a systematic review and meta-analysis drawing on 2,394 experimental units collected between 2019 and 2021, and apply gradient-boosted churn modeling with uplift estimation to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach annual retention savings estimated at USD 12.4 million, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in telecom subscriber bases. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1170" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1170", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "6", "start_page": "1", "end_page": "17", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "CRM", "analytics", "customer retention", "service marketing", "churn" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Wearable Devices for Chronic Disease Monitoring: A Longitudinal Study (2021)", "author": [ { "name": "Dr. Joshua King", "affiliation": "Princeton University" }, { "name": "Dr. Hao Huang", "affiliation": "University of Science and Technology of China" } ], "abstract": "This study investigates type-2 diabetes management through the lens of wearable devices for chronic disease monitoring. We adopt a comparative case-study approach drawing on 1,846 facilities collected between 2019 and 2021, and apply continuous-glucose-monitor integration with mobile coaching to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach HbA1c reduction of 0.9% at 24 weeks, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in type-2 diabetes management. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1171" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1171", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "6", "start_page": "18", "end_page": "35", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "wearables", "chronic disease", "remote monitoring", "cardiovascular", "diabetes" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Behavioral Economics of Decision Making Under Uncertainty: A Cross-Sectoral Study (2021)", "author": [ { "name": "Dr. Otieno Kariuki", "affiliation": "Strathmore University" }, { "name": "Dr. Hye-jin Jung", "affiliation": "Seoul National University" } ], "abstract": "This study investigates household financial decisions through the lens of behavioral economics of decision making under uncertainty. We adopt a systematic review and meta-analysis drawing on 2,454 experimental units collected between 2019 and 2021, and apply incentivized lab and field experiments (n = 2,100) to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach loss-aversion coefficient estimated at 2.13, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in household financial decisions. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1172" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1172", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "6", "start_page": "36", "end_page": "50", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "behavioral economics", "decision making", "uncertainty", "heuristics", "experiments" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Refugee Law and Statelessness in the 21st Century: A Empirical Study (2021)", "author": [ { "name": "Dr. Liam Whitlock", "affiliation": "University of Queensland" }, { "name": "Prof. Lars de Vries", "affiliation": "Leiden University" } ], "abstract": "This study investigates protracted displacement contexts through the lens of refugee law and statelessness in the 21st century. We adopt a longitudinal cohort study drawing on 2,564 subjects collected between 2019 and 2021, and apply doctrinal review and field interviews in three host states to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach identification of four protection-gap categories, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in protracted displacement contexts. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1173" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1173", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "6", "start_page": "51", "end_page": "68", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "refugee law", "statelessness", "international law", "human rights", "migration" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Soil Health Indicators for Sustainable Land Management: A Empirical Study (2021)", "author": [ { "name": "Dr. Robert King", "affiliation": "Stanford University" }, { "name": "Dr. Henrik Nilsen", "affiliation": "Norwegian Polar Institute" } ], "abstract": "This study investigates temperate cropping systems through the lens of soil health indicators for sustainable land management. We adopt a mixed-methods design drawing on 441 experimental units collected between 2019 and 2021, and apply multi-year sampling with biological-physical-chemical battery to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach minimum dataset of 9 indicators validated, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in temperate cropping systems. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1174" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1174", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "6", "start_page": "69", "end_page": "83", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "soil health", "land management", "agriculture", "ecosystems", "sustainability" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "International Human Rights Law in the Context of Climate Change: A Cross-Sectoral Study (2021)", "author": [ { "name": "Dr. Edward Beresford", "affiliation": "University of Manchester" }, { "name": "Prof. Chiara Conti", "affiliation": "Politecnico di Milano" } ], "abstract": "This study investigates small-island and Arctic communities through the lens of international human rights law in the context of climate change. We adopt a mixed-methods design drawing on 3,780 experimental units collected between 2019 and 2021, and apply doctrinal analysis with case-law mapping to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach emerging right-to-stable-climate doctrine identified in 9 jurisdictions, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in small-island and Arctic communities. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1175" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1175", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "6", "start_page": "84", "end_page": "101", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "human rights", "climate change", "international law", "environmental law", "justice" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Anomaly Detection in Cybersecurity Using Unsupervised Learning: A Comparative Study (2021)", "author": [ { "name": "Dr. Johan Lindqvist", "affiliation": "KTH Royal Institute of Technology" }, { "name": "Dr. Florian Frei", "affiliation": "University of Zurich" } ], "abstract": "This study investigates enterprise network traffic through the lens of anomaly detection in cybersecurity using unsupervised learning. We adopt a sequential explanatory design drawing on 1,723 records collected between 2019 and 2021, and apply variational autoencoder with reconstruction-error scoring to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach ROC-AUC of 0.948 on the CICIDS dataset, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in enterprise network traffic. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1176" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1176", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "6", "start_page": "102", "end_page": "116", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "cybersecurity", "anomaly detection", "unsupervised learning", "autoencoders", "intrusion detection" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Gender Inequality in the Workplace: A Cross-National Comparison: A Longitudinal Study (2021)", "author": [ { "name": "Dr. Shira Levi", "affiliation": "Hebrew University of Jerusalem" }, { "name": "Dr. Michael Allen", "affiliation": "Stanford University" } ], "abstract": "This study investigates white-collar employment in 14 countries through the lens of gender inequality in the workplace: a cross-national comparison. We adopt a systematic review and meta-analysis drawing on 3,750 subjects collected between 2019 and 2021, and apply decomposition analysis of wage gaps to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach unexplained-gap component averages 9.4%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in white-collar employment in 14 countries. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1177" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1177", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "6", "start_page": "117", "end_page": "133", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "gender inequality", "workplace", "cross-national", "sociology", "labor" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Additive Manufacturing of Lightweight Aerospace Components", "author": [ { "name": "Dr. Anna Wiśniewski", "affiliation": "Jagiellonian University" }, { "name": "Dr. Ryo Watanabe", "affiliation": "Waseda University" } ], "abstract": "This study investigates titanium bracket geometries through the lens of additive manufacturing of lightweight aerospace components. We adopt a randomized controlled trial drawing on 2,648 facilities collected between 2019 and 2021, and apply selective laser melting with topology-optimized lattice infills to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 37% mass reduction with equivalent stiffness, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in titanium bracket geometries. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1178" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1178", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "6", "start_page": "134", "end_page": "150", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "additive manufacturing", "3D printing", "aerospace", "lightweight structures", "topology optimization" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Renewable Energy Integration in Smart Grid Systems: A Cross-Sectoral Study (2021)", "author": [ { "name": "Dr. Ayşe Şahin", "affiliation": "Istanbul Technical University" }, { "name": "Dr. Andi Nugroho", "affiliation": "University of Indonesia" } ], "abstract": "This study investigates regional distribution networks through the lens of renewable energy integration in smart grid systems. We adopt a quasi-experimental design drawing on 2,113 experimental units collected between 2019 and 2021, and apply model-predictive dispatch with battery co-optimization to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 15% increase in renewables hosting capacity, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in regional distribution networks. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1179" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1179", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "6", "start_page": "151", "end_page": "168", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "smart grid", "renewable energy", "grid integration", "power electronics", "energy storage" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Precision Medicine Approaches in Cancer Treatment: A Multinational Study (2021)", "author": [ { "name": "Dr. Seung-hyun Lim", "affiliation": "KAIST" }, { "name": "Dr. Andrea Vásquez", "affiliation": "National Autonomous University of Mexico" } ], "abstract": "This study investigates metastatic colorectal cohorts through the lens of precision medicine approaches in cancer treatment. We adopt a comparative case-study approach drawing on 700 participants collected between 2019 and 2021, and apply tumor-mutational profiling with matched-therapy assignment to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach median progression-free survival extended by 4.7 months, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in metastatic colorectal cohorts. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1180" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1180", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "7", "start_page": "1", "end_page": "15", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "precision medicine", "oncology", "genomics", "targeted therapy", "biomarkers" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Behavioral Economics of Decision Making Under Uncertainty: A Longitudinal Study (2021)", "author": [ { "name": "Prof. Nkosi Khumalo", "affiliation": "University of Cape Town" }, { "name": "Dr. Ryo Saito", "affiliation": "Osaka University" } ], "abstract": "This study investigates household financial decisions through the lens of behavioral economics of decision making under uncertainty. We adopt a longitudinal cohort study drawing on 2,415 experimental units collected between 2019 and 2021, and apply incentivized lab and field experiments (n = 2,100) to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach loss-aversion coefficient estimated at 2.13, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in household financial decisions. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1181" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1181", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "7", "start_page": "16", "end_page": "32", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "behavioral economics", "decision making", "uncertainty", "heuristics", "experiments" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Urban Migration Patterns and Community Integration: A Multinational Study (2021)", "author": [ { "name": "Dr. Emi Saito", "affiliation": "Waseda University" }, { "name": "Prof. Liam Kelly", "affiliation": "University College Dublin" } ], "abstract": "This study investigates secondary-city migration corridors through the lens of urban migration patterns and community integration. We adopt a prospective observational study drawing on 3,585 instances collected between 2019 and 2021, and apply longitudinal panel of 4,500 households to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach integration-index gains of 19% with formal-housing access, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in secondary-city migration corridors. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1182" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1182", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "7", "start_page": "33", "end_page": "48", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "urban migration", "community integration", "sociology", "demographics", "social cohesion" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Supply Chain Resilience in the Face of Global Disruptions: A Empirical Study (2021)", "author": [ { "name": "Dr. Felipe Almeida", "affiliation": "University of Campinas" }, { "name": "Dr. Sofia Bianchi", "affiliation": "University of Padua" } ], "abstract": "This study investigates consumer-electronics supply networks through the lens of supply chain resilience in the face of global disruptions. We adopt a sequential explanatory design drawing on 3,412 observations collected between 2019 and 2021, and apply structural-equation modeling on 412 firm responses to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach supplier diversification effect size β = 0.41, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in consumer-electronics supply networks. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1183" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1183", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "7", "start_page": "49", "end_page": "65", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "supply chain", "resilience", "risk management", "global trade", "disruption" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Quantum Algorithms for Combinatorial Optimization Problems: A Comparative Study (2021)", "author": [ { "name": "Dr. Lakshmi Banerjee", "affiliation": "Indian Institute of Science" }, { "name": "Dr. Aoife McCarthy", "affiliation": "University College Dublin" } ], "abstract": "This study investigates vehicle routing instances through the lens of quantum algorithms for combinatorial optimization problems. We adopt a randomized controlled trial drawing on 3,874 instances collected between 2019 and 2021, and apply Quantum Approximate Optimization Algorithm to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach solution quality within 4% of classical optima for small instances, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in vehicle routing instances. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1184" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1184", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "7", "start_page": "66", "end_page": "81", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "quantum computing", "optimization", "QAOA", "NISQ", "combinatorics" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Corporate Governance and Regulatory Compliance in Emerging Markets: A Cross-Sectoral Study (2021)", "author": [ { "name": "Dr. Ananya Bhatt", "affiliation": "Indian Institute of Science" }, { "name": "Dr. Mehmet Yılmaz", "affiliation": "Istanbul Technical University" } ], "abstract": "This study investigates listed firms in Latin America and Southeast Asia through the lens of corporate governance and regulatory compliance in emerging markets. We adopt a mixed-methods design drawing on 827 records collected between 2019 and 2021, and apply panel analysis of governance-quality scores to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach compliance-rating upgrades raise market valuation by 6.1%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in listed firms in Latin America and Southeast Asia. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1185" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1185", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "7", "start_page": "82", "end_page": "99", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "corporate governance", "compliance", "emerging markets", "regulation", "accountability" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Energy Harvesting from Ambient Vibrations Using Piezoelectric Materials: A Empirical Study (2021)", "author": [ { "name": "Dr. Florian Brunner", "affiliation": "University of Geneva" }, { "name": "Dr. Saud Al-Saud", "affiliation": "King Abdullah University of Science and Technology" } ], "abstract": "This study investigates bridge-deck vibration sources through the lens of energy harvesting from ambient vibrations using piezoelectric materials. We adopt a systematic review and meta-analysis drawing on 3,122 records collected between 2019 and 2021, and apply tunable cantilever array with rectifier circuits to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach average power output of 1.4 mW per device, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in bridge-deck vibration sources. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1186" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1186", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "7", "start_page": "100", "end_page": "115", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "energy harvesting", "piezoelectric", "ambient vibration", "power generation", "MEMS" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Wearable Devices for Chronic Disease Monitoring: A Comprehensive Study (2021)", "author": [ { "name": "Dr. Karthik Sharma", "affiliation": "Jawaharlal Nehru University" }, { "name": "Dr. Henrik Nilsen", "affiliation": "University of Bergen" } ], "abstract": "This study investigates type-2 diabetes management through the lens of wearable devices for chronic disease monitoring. We adopt a randomized controlled trial drawing on 1,078 observations collected between 2019 and 2021, and apply continuous-glucose-monitor integration with mobile coaching to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach HbA1c reduction of 0.9% at 24 weeks, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in type-2 diabetes management. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1187" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1187", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "7", "start_page": "116", "end_page": "131", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "wearables", "chronic disease", "remote monitoring", "cardiovascular", "diabetes" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Container Orchestration at Scale: Performance Benchmarks for Cloud-Native Workloads", "author": [ { "name": "Dr. Ling Yang", "affiliation": "Fudan University" }, { "name": "Dr. Bram Hendriks", "affiliation": "University of Amsterdam" } ], "abstract": "This study investigates multi-tenant clusters through the lens of container orchestration at scale: performance benchmarks for cloud-native workloads. We adopt a quasi-experimental design drawing on 1,500 participants collected between 2019 and 2021, and apply controlled benchmark with synthetic and production traces to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach scheduler throughput of 1,800 pods/min on a 500-node cluster, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in multi-tenant clusters. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1188" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1188", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "7", "start_page": "132", "end_page": "149", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "containers", "Kubernetes", "cloud-native", "performance", "scalability" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Long-Term Effects of Air Pollution on Respiratory Health: A Comprehensive Study (2021)", "author": [ { "name": "Prof. Connor Ferguson", "affiliation": "Queen's University" }, { "name": "Dr. Andi Setiawan", "affiliation": "University of Indonesia" } ], "abstract": "This study investigates urban cohorts in South Asia through the lens of long-term effects of air pollution on respiratory health. We adopt a randomized controlled trial drawing on 829 experimental units collected between 2019 and 2021, and apply 10-year retrospective cohort with exposure modeling to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 10 µg/m³ PM2.5 increase linked to 12% higher COPD incidence, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in urban cohorts in South Asia. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1189" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1189", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "7", "start_page": "150", "end_page": "167", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "air pollution", "respiratory health", "epidemiology", "PM2.5", "pulmonary disease" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Constitutional Reforms in Modern Democracies: Comparative Analysis: A Empirical Study (2021)", "author": [ { "name": "Dr. Hao Sun", "affiliation": "Zhejiang University" }, { "name": "Dr. Matteo Romano", "affiliation": "Sapienza University of Rome" } ], "abstract": "This study investigates post-2000 constitutional amendments through the lens of constitutional reforms in modern democracies: comparative analysis. We adopt a mixed-methods design drawing on 2,555 observations collected between 2019 and 2021, and apply comparative typology of 47 reform episodes to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach deliberative-procedure use correlates with reform durability (r = 0.52), with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in post-2000 constitutional amendments. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1190" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1190", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "8", "start_page": "1", "end_page": "16", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "constitutional law", "democracy", "reform", "comparative law", "governance" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "International Human Rights Law in the Context of Climate Change: A Longitudinal Study (2021)", "author": [ { "name": "Dr. Felipe Oliveira", "affiliation": "University of São Paulo" }, { "name": "Dr. Sanne Kuiper", "affiliation": "Erasmus University Rotterdam" } ], "abstract": "This study investigates small-island and Arctic communities through the lens of international human rights law in the context of climate change. We adopt a comparative case-study approach drawing on 2,024 participants collected between 2019 and 2021, and apply doctrinal analysis with case-law mapping to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach emerging right-to-stable-climate doctrine identified in 9 jurisdictions, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in small-island and Arctic communities. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1191" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1191", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "8", "start_page": "17", "end_page": "34", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "human rights", "climate change", "international law", "environmental law", "justice" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Recommender Systems Using Hybrid Collaborative and Content-Based Filtering: A Empirical Study (2021)", "author": [ { "name": "Dr. Selin Kaya", "affiliation": "Bogaziçi University" }, { "name": "Dr. Rizky Hartono", "affiliation": "University of Indonesia" } ], "abstract": "This study investigates online education catalogs through the lens of recommender systems using hybrid collaborative and content-based filtering. We adopt a comparative case-study approach drawing on 1,539 records collected between 2019 and 2021, and apply neural collaborative filtering with content embeddings to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach NDCG@10 improvement of 18% over baseline, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in online education catalogs. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1192" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1192", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "8", "start_page": "35", "end_page": "51", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "recommender systems", "collaborative filtering", "content-based", "hybrid models", "personalization" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Strategic Innovation in Pharmaceutical and tech sectors: Evidence from Multinational Firms", "author": [ { "name": "Dr. Marco Galli", "affiliation": "University of Bologna" }, { "name": "Dr. Maha Al-Dosari", "affiliation": "King Fahd University of Petroleum and Minerals" } ], "abstract": "This study investigates pharmaceutical and tech sectors through the lens of strategic innovation in pharmaceutical and tech sectors. We adopt a quasi-experimental design drawing on 3,448 cases collected between 2019 and 2021, and apply panel regression on 240 firms over six years to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach R&D intensity explains 31% of revenue-growth variance, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in pharmaceutical and tech sectors. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1193" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1193", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "8", "start_page": "52", "end_page": "68", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "strategic management", "innovation", "multinationals", "competitive advantage", "R&D" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Antitrust Law in the Age of Digital Platforms: A Comparative Study (2021)", "author": [ { "name": "Dr. Mei Huang", "affiliation": "Nanjing University" }, { "name": "Dr. Mwangi Maina", "affiliation": "Kenyatta University" } ], "abstract": "This study investigates two-sided digital marketplaces through the lens of antitrust law in the age of digital platforms. We adopt a prospective observational study drawing on 3,583 facilities collected between 2019 and 2021, and apply economic-modeling-informed legal analysis to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach proposal of three new theories of harm, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in two-sided digital marketplaces. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1194" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1194", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "8", "start_page": "69", "end_page": "83", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "antitrust", "competition law", "digital platforms", "monopoly", "regulation" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Risk Management Frameworks for Financial Services in Volatile Markets: A Longitudinal Study (2021)", "author": [ { "name": "Dr. Valeria Mendoza", "affiliation": "Tecnológico de Monterrey" }, { "name": "Dr. Charlotte Sutherland", "affiliation": "Australian National University" } ], "abstract": "This study investigates mid-size commercial banks through the lens of risk management frameworks for financial services in volatile markets. We adopt a mixed-methods design drawing on 1,057 cases collected between 2019 and 2021, and apply Monte-Carlo stress testing under 50,000 macro paths to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach expected-shortfall coverage improved by 19%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in mid-size commercial banks. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1195" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1195", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "8", "start_page": "84", "end_page": "100", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "risk management", "financial services", "volatility", "Basel", "compliance" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Educational Equity in Multilingual Classrooms: A Multinational Study (2021)", "author": [ { "name": "Prof. Connor Ferguson", "affiliation": "University of Waterloo" }, { "name": "Dr. Hiroshi Takahashi", "affiliation": "University of Tokyo" } ], "abstract": "This study investigates immigrant-receiving urban districts through the lens of educational equity in multilingual classrooms. We adopt a systematic review and meta-analysis drawing on 2,521 observations collected between 2019 and 2021, and apply policy analysis combined with classroom observation to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach scaffolded multilingual instruction narrowed reading gaps by 31%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in immigrant-receiving urban districts. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1196" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1196", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "8", "start_page": "101", "end_page": "118", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "educational equity", "multilingual", "language education", "diversity", "access" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Maternal Health Outcomes in Low-Resource Settings: A Comparative Study (2021)", "author": [ { "name": "Dr. Larissa Ferreira", "affiliation": "University of São Paulo" }, { "name": "Dr. Carmen Torres", "affiliation": "University of Barcelona" } ], "abstract": "This study investigates rural districts in Sub-Saharan Africa through the lens of maternal health outcomes in low-resource settings. We adopt a quasi-experimental design drawing on 1,040 subjects collected between 2019 and 2021, and apply stepped-wedge cluster trial across 18 facilities to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach obstetric-complication response time halved, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in rural districts in Sub-Saharan Africa. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1197" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1197", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "8", "start_page": "119", "end_page": "134", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "maternal health", "global health", "midwifery", "health systems", "equity" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Federated Learning for Privacy-Preserving Analytics in Hospital networks: A Comparative Study (2021)", "author": [ { "name": "Dr. Hao Zhang", "affiliation": "Tsinghua University" }, { "name": "Dr. Marco Galli", "affiliation": "Politecnico di Milano" } ], "abstract": "This study investigates hospital networks through the lens of federated learning for privacy-preserving analytics in hospital networks. We adopt a comparative case-study approach drawing on 619 subjects collected between 2019 and 2021, and apply federated averaging with secure aggregation to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach comparable accuracy to centralized training (Δ < 1.5%), with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in hospital networks. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1198" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1198", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "8", "start_page": "135", "end_page": "150", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "federated learning", "privacy", "distributed systems", "differential privacy", "edge computing" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Computational Fluid Dynamics Analysis of Wind Turbine Blade Optimization: A Cross-Sectoral Study (2021)", "author": [ { "name": "Dr. Pooja Iyer", "affiliation": "Jawaharlal Nehru University" }, { "name": "Dr. Achieng Odhiambo", "affiliation": "Moi University" } ], "abstract": "This study investigates horizontal-axis turbine rotors through the lens of computational fluid dynamics analysis of wind turbine blade optimization. We adopt a quasi-experimental design drawing on 1,674 records collected between 2019 and 2021, and apply RANS-based CFD coupled with a genetic optimizer to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 5.8% gain in annual energy production, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in horizontal-axis turbine rotors. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1199" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1199", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "8", "start_page": "151", "end_page": "167", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "CFD", "wind turbines", "aerodynamics", "blade design", "renewable energy" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Hydrogen Fuel Cell Performance Optimization for Heavy-Duty Transport: A Comprehensive Study (2021)", "author": [ { "name": "Dr. Aoife O'Sullivan", "affiliation": "Trinity College Dublin" }, { "name": "Dr. Kari Pedersen", "affiliation": "University of Bergen" } ], "abstract": "This study investigates long-haul truck powertrains through the lens of hydrogen fuel cell performance optimization for heavy-duty transport. We adopt a quasi-experimental design drawing on 375 experimental units collected between 2019 and 2021, and apply membrane-electrode assembly redesign with thermal control to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach stack efficiency raised to 58%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in long-haul truck powertrains. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1200" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1200", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "9", "start_page": "1", "end_page": "15", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "hydrogen", "fuel cells", "heavy-duty transport", "clean energy", "efficiency" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Nutritional Interventions for Childhood Obesity Prevention: A Empirical Study (2021)", "author": [ { "name": "Dr. Ayşe Doğan", "affiliation": "Istanbul Technical University" }, { "name": "Dr. Camille Laurent", "affiliation": "Université PSL" } ], "abstract": "This study investigates school-meal redesign programs through the lens of nutritional interventions for childhood obesity prevention. We adopt a systematic review and meta-analysis drawing on 495 facilities collected between 2019 and 2021, and apply cluster-randomized trial with 4,300 children to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach BMI z-score reduction of 0.18 over the study year, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in school-meal redesign programs. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1201" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1201", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "9", "start_page": "16", "end_page": "30", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "nutrition", "childhood obesity", "public health", "intervention", "BMI" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Recommender Systems Using Hybrid Collaborative and Content-Based Filtering: A Comprehensive Study (2021)", "author": [ { "name": "Dr. Bram de Vries", "affiliation": "Leiden University" }, { "name": "Dr. Satoshi Sato", "affiliation": "Keio University" } ], "abstract": "This study investigates online education catalogs through the lens of recommender systems using hybrid collaborative and content-based filtering. We adopt a prospective observational study drawing on 1,238 records collected between 2019 and 2021, and apply neural collaborative filtering with content embeddings to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach NDCG@10 improvement of 18% over baseline, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in online education catalogs. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1202" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1202", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "9", "start_page": "31", "end_page": "45", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "recommender systems", "collaborative filtering", "content-based", "hybrid models", "personalization" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Corporate Governance and Regulatory Compliance in Emerging Markets: A Multinational Study (2021)", "author": [ { "name": "Dr. Julia Vogel", "affiliation": "ETH Zurich" }, { "name": "Dr. Tae-woo Kim", "affiliation": "Hanyang University" } ], "abstract": "This study investigates listed firms in Latin America and Southeast Asia through the lens of corporate governance and regulatory compliance in emerging markets. We adopt a randomized controlled trial drawing on 1,938 records collected between 2019 and 2021, and apply panel analysis of governance-quality scores to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach compliance-rating upgrades raise market valuation by 6.1%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in listed firms in Latin America and Southeast Asia. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1203" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1203", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "9", "start_page": "46", "end_page": "62", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "corporate governance", "compliance", "emerging markets", "regulation", "accountability" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Teacher Professional Development and Student Achievement: A Multinational Study (2021)", "author": [ { "name": "Dr. Kari Johansen", "affiliation": "University of Bergen" }, { "name": "Dr. Piotr Wójcik", "affiliation": "University of Warsaw" } ], "abstract": "This study investigates literacy instruction in primary grades through the lens of teacher professional development and student achievement. We adopt a sequential explanatory design drawing on 539 subjects collected between 2019 and 2021, and apply quasi-experimental design with propensity matching to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach reading-fluency gains of 0.31 SD, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in literacy instruction in primary grades. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1204" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1204", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "9", "start_page": "63", "end_page": "78", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "teacher development", "professional learning", "student achievement", "pedagogy", "education policy" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Biodiversity Conservation in Tropical Forest Ecosystems: A Cross-Sectoral Study (2021)", "author": [ { "name": "Prof. Si Ying Ong", "affiliation": "Nanyang Technological University" }, { "name": "Dr. Luca Galli", "affiliation": "University of Bologna" } ], "abstract": "This study investigates Amazonian and Congo basin reserves through the lens of biodiversity conservation in tropical forest ecosystems. We adopt a prospective observational study drawing on 2,433 records collected between 2019 and 2021, and apply camera-trap and acoustic survey across 38 plots to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach species richness 27% higher in community-managed plots, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in Amazonian and Congo basin reserves. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1205" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1205", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "9", "start_page": "79", "end_page": "95", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "biodiversity", "tropical forests", "conservation", "ecology", "ecosystems" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Data Protection and Privacy Regulation in the Era of Big Data: A Multinational Study (2021)", "author": [ { "name": "Dr. Saoirse Murphy", "affiliation": "NUI Galway" }, { "name": "Dr. David Baker", "affiliation": "University of Michigan" } ], "abstract": "This study investigates cross-border personal-data flows through the lens of data protection and privacy regulation in the era of big data. We adopt a quasi-experimental design drawing on 3,150 participants collected between 2019 and 2021, and apply comparative legal analysis across 12 jurisdictions to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach convergence on three regulatory archetypes, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in cross-border personal-data flows. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1206" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1206", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "9", "start_page": "96", "end_page": "110", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "data protection", "privacy", "GDPR", "big data", "regulation" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Plastic Pollution in Marine Ecosystems: Sources and Mitigation: A Comprehensive Study (2021)", "author": [ { "name": "Dr. Sofía Gómez", "affiliation": "University of Buenos Aires" }, { "name": "Dr. Ryan McKenzie", "affiliation": "University of Toronto" } ], "abstract": "This study investigates coastal and pelagic waters through the lens of plastic pollution in marine ecosystems: sources and mitigation. We adopt a prospective observational study drawing on 3,857 instances collected between 2019 and 2021, and apply isotopic source apportionment of 1,500 samples to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach fishing-gear sources account for 28% of pelagic plastic mass, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in coastal and pelagic waters. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1207" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1207", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "9", "start_page": "111", "end_page": "125", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "plastic pollution", "marine ecosystems", "microplastics", "mitigation", "oceanography" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Deep Learning for Image Classification in Medical Imaging Applications: A Multinational Study (2021)", "author": [ { "name": "Dr. Siti Lestari", "affiliation": "University of Indonesia" }, { "name": "Dr. Elif Doğan", "affiliation": "Middle East Technical University" } ], "abstract": "This study investigates medical imaging through the lens of deep learning for image classification in medical imaging. We adopt a systematic review and meta-analysis drawing on 3,582 records collected between 2019 and 2021, and apply convolutional neural network ensemble to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 94.6% top-1 accuracy on a held-out test set, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in medical imaging. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1208" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1208", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "9", "start_page": "126", "end_page": "141", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "deep learning", "image classification", "convolutional networks", "feature extraction", "computer vision" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Additive Manufacturing of Lightweight Aerospace Components: A Longitudinal Study (2021)", "author": [ { "name": "Dr. Noah Kingsley", "affiliation": "University of New South Wales" }, { "name": "Dr. Sophie Brunner", "affiliation": "ETH Zurich" } ], "abstract": "This study investigates titanium bracket geometries through the lens of additive manufacturing of lightweight aerospace components. We adopt a sequential explanatory design drawing on 4,118 instances collected between 2019 and 2021, and apply selective laser melting with topology-optimized lattice infills to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 37% mass reduction with equivalent stiffness, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in titanium bracket geometries. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1209" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1209", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "9", "start_page": "142", "end_page": "157", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "additive manufacturing", "3D printing", "aerospace", "lightweight structures", "topology optimization" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Assessment Reform: Authentic Assessment in Higher Education: A Comparative Study (2021)", "author": [ { "name": "Dr. Krzysztof Lewandowski", "affiliation": "University of Warsaw" }, { "name": "Dr. Elena Hernández", "affiliation": "Pompeu Fabra University" } ], "abstract": "This study investigates professional graduate programs through the lens of assessment reform: authentic assessment in higher education. We adopt a quasi-experimental design drawing on 3,869 instances collected between 2019 and 2021, and apply design-based research over four iterations to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach student-perceived learning gains improved by 0.47 SD, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in professional graduate programs. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1210" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1210", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "10", "start_page": "1", "end_page": "16", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "assessment", "authentic assessment", "higher education", "evaluation", "competencies" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Long-Term Effects of Air Pollution on Respiratory Health: A Empirical Study (2021)", "author": [ { "name": "Dr. Emily Walker", "affiliation": "University of Washington" }, { "name": "Dr. Carmen Hernández", "affiliation": "Pompeu Fabra University" } ], "abstract": "This study investigates urban cohorts in South Asia through the lens of long-term effects of air pollution on respiratory health. We adopt a mixed-methods design drawing on 1,394 subjects collected between 2019 and 2021, and apply 10-year retrospective cohort with exposure modeling to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 10 µg/m³ PM2.5 increase linked to 12% higher COPD incidence, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in urban cohorts in South Asia. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1211" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1211", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "10", "start_page": "17", "end_page": "34", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "air pollution", "respiratory health", "epidemiology", "PM2.5", "pulmonary disease" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Robotic Process Automation in Manufacturing Quality Control: A Comparative Study (2021)", "author": [ { "name": "Dr. Astrid Lindberg", "affiliation": "Lund University" }, { "name": "Dr. Sanne Visser", "affiliation": "Utrecht University" } ], "abstract": "This study investigates automotive assembly lines through the lens of robotic process automation in manufacturing quality control. We adopt a longitudinal cohort study drawing on 852 subjects collected between 2019 and 2021, and apply vision-guided cobot inspection cells to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach defect-escape rate reduced by 64%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in automotive assembly lines. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1212" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1212", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "10", "start_page": "35", "end_page": "50", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "robotics", "manufacturing", "quality control", "automation", "industry 4.0" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Digital Transformation and Organizational Agility: A Multinational Study (2021)", "author": [ { "name": "Dr. Tao Zhang", "affiliation": "Tsinghua University" }, { "name": "Dr. Charlotte Ashford", "affiliation": "University of Melbourne" } ], "abstract": "This study investigates mid-sized service firms through the lens of digital transformation and organizational agility. We adopt a sequential explanatory design drawing on 3,748 experimental units collected between 2019 and 2021, and apply longitudinal case-study comparison across 18 organizations to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach agility score gains of 2.3 points on a 7-point scale, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in mid-sized service firms. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1213" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1213", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "10", "start_page": "51", "end_page": "66", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "digital transformation", "organizational agility", "change management", "ICT", "strategy" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Entrepreneurial Ecosystems and Startup Success Factors: A Cross-Sectoral Study (2021)", "author": [ { "name": "Dr. Emre Öztürk", "affiliation": "Istanbul Technical University" }, { "name": "Dr. Madison Ferguson", "affiliation": "University of British Columbia" } ], "abstract": "This study investigates tech-startup hubs in Asia and Europe through the lens of entrepreneurial ecosystems and startup success factors. We adopt a sequential explanatory design drawing on 1,322 facilities collected between 2019 and 2021, and apply qualitative comparative analysis of 35 ecosystem cases to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach talent-density configuration is necessary in 92% of high-growth cases, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in tech-startup hubs in Asia and Europe. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1214" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1214", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "10", "start_page": "67", "end_page": "82", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "entrepreneurship", "ecosystems", "startups", "venture capital", "innovation" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Data Protection and Privacy Regulation in the Era of Big Data: A Empirical Study (2021)", "author": [ { "name": "Dr. Charlotte Whitlock", "affiliation": "University of Melbourne" }, { "name": "Dr. Owen Larocque", "affiliation": "University of Toronto" } ], "abstract": "This study investigates cross-border personal-data flows through the lens of data protection and privacy regulation in the era of big data. We adopt a sequential explanatory design drawing on 595 cases collected between 2019 and 2021, and apply comparative legal analysis across 12 jurisdictions to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach convergence on three regulatory archetypes, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in cross-border personal-data flows. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1215" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1215", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "10", "start_page": "83", "end_page": "100", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "data protection", "privacy", "GDPR", "big data", "regulation" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Wearable Devices for Chronic Disease Monitoring: A Multinational Study (2021)", "author": [ { "name": "Dr. Dewi Hartono", "affiliation": "University of Indonesia" }, { "name": "Dr. Folake Onyekachi", "affiliation": "University of Lagos" } ], "abstract": "This study investigates type-2 diabetes management through the lens of wearable devices for chronic disease monitoring. We adopt a comparative case-study approach drawing on 860 observations collected between 2019 and 2021, and apply continuous-glucose-monitor integration with mobile coaching to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach HbA1c reduction of 0.9% at 24 weeks, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in type-2 diabetes management. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1216" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1216", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "10", "start_page": "101", "end_page": "116", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "wearables", "chronic disease", "remote monitoring", "cardiovascular", "diabetes" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Strategic Innovation in Pharmaceutical and tech sectors: Evidence from Multinational Firms: A Comprehensive Study (2021)", "author": [ { "name": "Dr. Liv Larsen", "affiliation": "University of Oslo" }, { "name": "Prof. Avi Mizrahi", "affiliation": "Weizmann Institute of Science" } ], "abstract": "This study investigates pharmaceutical and tech sectors through the lens of strategic innovation in pharmaceutical and tech sectors. We adopt a systematic review and meta-analysis drawing on 1,244 participants collected between 2019 and 2021, and apply panel regression on 240 firms over six years to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach R&D intensity explains 31% of revenue-growth variance, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in pharmaceutical and tech sectors. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1217" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1217", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "10", "start_page": "117", "end_page": "132", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "strategic management", "innovation", "multinationals", "competitive advantage", "R&D" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Recommender Systems Using Hybrid Collaborative and Content-Based Filtering: A Comparative Study (2021)", "author": [ { "name": "Dr. Paula Vargas", "affiliation": "Complutense University of Madrid" }, { "name": "Dr. Tae-woo Lim", "affiliation": "Hanyang University" } ], "abstract": "This study investigates online education catalogs through the lens of recommender systems using hybrid collaborative and content-based filtering. We adopt a mixed-methods design drawing on 3,982 observations collected between 2019 and 2021, and apply neural collaborative filtering with content embeddings to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach NDCG@10 improvement of 18% over baseline, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in online education catalogs. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1218" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1218", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "10", "start_page": "133", "end_page": "148", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "recommender systems", "collaborative filtering", "content-based", "hybrid models", "personalization" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Seismic Performance of Reinforced Concrete Structures Under Cyclic Loading", "author": [ { "name": "Prof. Mariko Yamamoto", "affiliation": "Osaka University" }, { "name": "Dr. Elif Doğan", "affiliation": "Istanbul Technical University" } ], "abstract": "This study investigates mid-rise residential buildings through the lens of seismic performance of reinforced concrete structures under cyclic loading. We adopt a prospective observational study drawing on 2,412 facilities collected between 2019 and 2021, and apply shake-table testing of 1:3 scale specimens to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach drift capacities exceeding code requirements by 22%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in mid-rise residential buildings. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1219" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1219", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "10", "start_page": "149", "end_page": "165", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "seismic engineering", "reinforced concrete", "cyclic loading", "structural dynamics", "earthquake" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Autonomous Vehicle Perception Systems Using Multi-Sensor Fusion: A Longitudinal Study (2021)", "author": [ { "name": "Dr. Iris de Vries", "affiliation": "Erasmus University Rotterdam" }, { "name": "Dr. Diego Álvarez", "affiliation": "Universidad Austral" } ], "abstract": "This study investigates urban driving scenarios through the lens of autonomous vehicle perception systems using multi-sensor fusion. We adopt a quasi-experimental design drawing on 1,118 facilities collected between 2019 and 2021, and apply Kalman-filter fusion of LiDAR, camera, and radar streams to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach object-detection mAP of 0.87 across 12 weather conditions, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in urban driving scenarios. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1220" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1220", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "11", "start_page": "1", "end_page": "18", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "autonomous vehicles", "sensor fusion", "LiDAR", "perception", "robotics" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Natural Language Processing Techniques for Low-Resource Language Translation: A Comparative Study (2021)", "author": [ { "name": "Dr. Elif Yılmaz", "affiliation": "Middle East Technical University" }, { "name": "Dr. Sven Nilsen", "affiliation": "Norwegian University of Science and Technology" } ], "abstract": "This study investigates African and South Asian languages through the lens of natural language processing techniques for low-resource language translation. We adopt a mixed-methods design drawing on 1,288 observations collected between 2019 and 2021, and apply transformer with cross-lingual transfer to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach +6.4 BLEU over the baseline, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in African and South Asian languages. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1221" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1221", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "11", "start_page": "19", "end_page": "34", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "NLP", "low-resource languages", "machine translation", "transfer learning", "multilingual models" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Deep Learning for Image Classification in Medical Imaging Applications: A Longitudinal Study (2021)", "author": [ { "name": "Prof. Wanjiku Kariuki", "affiliation": "University of Nairobi" }, { "name": "Dr. Neha Patel", "affiliation": "Tata Institute of Fundamental Research" } ], "abstract": "This study investigates medical imaging through the lens of deep learning for image classification in medical imaging. We adopt a mixed-methods design drawing on 4,457 experimental units collected between 2019 and 2021, and apply convolutional neural network ensemble to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 94.6% top-1 accuracy on a held-out test set, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in medical imaging. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1222" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1222", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "11", "start_page": "35", "end_page": "51", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "deep learning", "image classification", "convolutional networks", "feature extraction", "computer vision" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Data Protection and Privacy Regulation in the Era of Big Data: A Cross-Sectoral Study (2021)", "author": [ { "name": "Dr. Anja Keller", "affiliation": "EPFL" }, { "name": "Dr. Sophia Beaulieu", "affiliation": "University of British Columbia" } ], "abstract": "This study investigates cross-border personal-data flows through the lens of data protection and privacy regulation in the era of big data. We adopt a longitudinal cohort study drawing on 3,231 experimental units collected between 2019 and 2021, and apply comparative legal analysis across 12 jurisdictions to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach convergence on three regulatory archetypes, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in cross-border personal-data flows. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1223" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1223", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "11", "start_page": "52", "end_page": "69", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "data protection", "privacy", "GDPR", "big data", "regulation" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Soil Health Indicators for Sustainable Land Management: A Comprehensive Study (2021)", "author": [ { "name": "Dr. Eun-ji Han", "affiliation": "Yonsei University" }, { "name": "Dr. Ryan Whitehouse", "affiliation": "Queen's University" } ], "abstract": "This study investigates temperate cropping systems through the lens of soil health indicators for sustainable land management. We adopt a longitudinal cohort study drawing on 2,937 experimental units collected between 2019 and 2021, and apply multi-year sampling with biological-physical-chemical battery to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach minimum dataset of 9 indicators validated, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in temperate cropping systems. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1224" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1224", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "11", "start_page": "70", "end_page": "84", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "soil health", "land management", "agriculture", "ecosystems", "sustainability" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Strategic Innovation in Pharmaceutical and tech sectors: Evidence from Multinational Firms: A Multinational Study (2021)", "author": [ { "name": "Dr. Mia Pemberton", "affiliation": "University of Queensland" }, { "name": "Dr. Ciara Kelly", "affiliation": "University College Dublin" } ], "abstract": "This study investigates pharmaceutical and tech sectors through the lens of strategic innovation in pharmaceutical and tech sectors. We adopt a comparative case-study approach drawing on 1,790 observations collected between 2019 and 2021, and apply panel regression on 240 firms over six years to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach R&D intensity explains 31% of revenue-growth variance, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in pharmaceutical and tech sectors. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1225" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1225", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "11", "start_page": "85", "end_page": "99", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "strategic management", "innovation", "multinationals", "competitive advantage", "R&D" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Antitrust Law in the Age of Digital Platforms: A Empirical Study (2021)", "author": [ { "name": "Dr. Sanne de Vries", "affiliation": "Leiden University" }, { "name": "Dr. Johan Eklund", "affiliation": "Uppsala University" } ], "abstract": "This study investigates two-sided digital marketplaces through the lens of antitrust law in the age of digital platforms. We adopt a comparative case-study approach drawing on 4,217 instances collected between 2019 and 2021, and apply economic-modeling-informed legal analysis to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach proposal of three new theories of harm, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in two-sided digital marketplaces. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1226" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1226", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "11", "start_page": "100", "end_page": "116", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "antitrust", "competition law", "digital platforms", "monopoly", "regulation" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Water Resource Management Under Climate Variability: A Comprehensive Study (2021)", "author": [ { "name": "Dr. Ciara Walsh", "affiliation": "University College Cork" }, { "name": "Dr. Felipe Almeida", "affiliation": "University of Campinas" } ], "abstract": "This study investigates transboundary river basins through the lens of water resource management under climate variability. We adopt a comparative case-study approach drawing on 3,425 records collected between 2019 and 2021, and apply coupled hydrologic and decision-support modeling to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach cooperative-allocation strategies cut shortage events by 41%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in transboundary river basins. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1227" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1227", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "11", "start_page": "117", "end_page": "134", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "water resources", "climate variability", "hydrology", "drought", "management" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Teacher Professional Development and Student Achievement: A Cross-Sectoral Study (2021)", "author": [ { "name": "Prof. Emeka Adeyemi", "affiliation": "University of Lagos" }, { "name": "Dr. Yong Kai Teo", "affiliation": "Nanyang Technological University" } ], "abstract": "This study investigates literacy instruction in primary grades through the lens of teacher professional development and student achievement. We adopt a systematic review and meta-analysis drawing on 3,335 instances collected between 2019 and 2021, and apply quasi-experimental design with propensity matching to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach reading-fluency gains of 0.31 SD, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in literacy instruction in primary grades. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1228" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1228", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "11", "start_page": "135", "end_page": "152", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "teacher development", "professional learning", "student achievement", "pedagogy", "education policy" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Digital Transformation and Organizational Agility: A Comparative Study (2021)", "author": [ { "name": "Dr. Christopher Anderson", "affiliation": "Cornell University" }, { "name": "Prof. Rizky Hartono", "affiliation": "Gadjah Mada University" } ], "abstract": "This study investigates mid-sized service firms through the lens of digital transformation and organizational agility. We adopt a comparative case-study approach drawing on 3,685 experimental units collected between 2019 and 2021, and apply longitudinal case-study comparison across 18 organizations to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach agility score gains of 2.3 points on a 7-point scale, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in mid-sized service firms. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1229" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1229", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "11", "start_page": "153", "end_page": "169", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "digital transformation", "organizational agility", "change management", "ICT", "strategy" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Sustainable Agriculture Practices for Food Security: A Empirical Study (2021)", "author": [ { "name": "Dr. Katarzyna Nowak", "affiliation": "Jagiellonian University" }, { "name": "Prof. Maha Al-Rashid", "affiliation": "King Abdullah University of Science and Technology" } ], "abstract": "This study investigates smallholder farms in semi-arid regions through the lens of sustainable agriculture practices for food security. We adopt a prospective observational study drawing on 1,358 records collected between 2019 and 2021, and apply on-farm trials across 220 sites over four seasons to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach yield-stability index improved by 23%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in smallholder farms in semi-arid regions. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1230" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1230", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "12", "start_page": "1", "end_page": "18", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "sustainable agriculture", "food security", "agroecology", "climate-smart", "yields" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Deep Learning for Image Classification in Medical Imaging Applications: A Cross-Sectoral Study (2021)", "author": [ { "name": "Dr. Johan Holmberg", "affiliation": "Karolinska Institute" }, { "name": "Dr. Javier Hernández", "affiliation": "Complutense University of Madrid" } ], "abstract": "This study investigates medical imaging through the lens of deep learning for image classification in medical imaging. We adopt a sequential explanatory design drawing on 2,477 experimental units collected between 2019 and 2021, and apply convolutional neural network ensemble to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 94.6% top-1 accuracy on a held-out test set, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in medical imaging. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1231" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1231", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "12", "start_page": "19", "end_page": "33", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "deep learning", "image classification", "convolutional networks", "feature extraction", "computer vision" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Telemedicine Adoption in Rural Communities: Barriers and Enablers: A Cross-Sectoral Study (2021)", "author": [ { "name": "Dr. Ji-hoon Lee", "affiliation": "Korea University" }, { "name": "Dr. Camila Silva", "affiliation": "Federal University of Minas Gerais" } ], "abstract": "This study investigates primary-care clinics in low-density regions through the lens of telemedicine adoption in rural communities: barriers and enablers. We adopt a randomized controlled trial drawing on 2,151 experimental units collected between 2019 and 2021, and apply mixed-methods evaluation across 24 clinics to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach consultation volumes rose 3.1× over 12 months, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in primary-care clinics in low-density regions. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1232" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1232", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "12", "start_page": "34", "end_page": "48", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "telemedicine", "rural health", "digital health", "healthcare access", "adoption" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Corporate Social Responsibility and Financial Performance: A Multinational Study (2021)", "author": [ { "name": "Dr. Tyler Whitehouse", "affiliation": "McMaster University" }, { "name": "Dr. Elsa Forsberg", "affiliation": "Stockholm University" } ], "abstract": "This study investigates publicly listed firms in emerging markets through the lens of corporate social responsibility and financial performance. We adopt a prospective observational study drawing on 2,830 facilities collected between 2019 and 2021, and apply fixed-effects panel regression on 600 firm-years to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach CSR-score top-quartile firms outperform by 4.2% ROA, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in publicly listed firms in emerging markets. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1233" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1233", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "12", "start_page": "49", "end_page": "65", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "CSR", "financial performance", "sustainability", "ESG", "stakeholder theory" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Additive Manufacturing of Lightweight Aerospace Components: A Multinational Study (2021)", "author": [ { "name": "Dr. Lucía Acosta", "affiliation": "Universidad Austral" }, { "name": "Dr. Faisal Al-Harbi", "affiliation": "King Abdullah University of Science and Technology" } ], "abstract": "This study investigates titanium bracket geometries through the lens of additive manufacturing of lightweight aerospace components. We adopt a prospective observational study drawing on 3,301 observations collected between 2019 and 2021, and apply selective laser melting with topology-optimized lattice infills to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 37% mass reduction with equivalent stiffness, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in titanium bracket geometries. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1234" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1234", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "12", "start_page": "66", "end_page": "83", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "additive manufacturing", "3D printing", "aerospace", "lightweight structures", "topology optimization" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Teacher Professional Development and Student Achievement: A Longitudinal Study (2021)", "author": [ { "name": "Dr. Fernando Hernández", "affiliation": "CINVESTAV" }, { "name": "Prof. Aisha Onyekachi", "affiliation": "Ahmadu Bello University" } ], "abstract": "This study investigates literacy instruction in primary grades through the lens of teacher professional development and student achievement. We adopt a prospective observational study drawing on 2,072 observations collected between 2019 and 2021, and apply quasi-experimental design with propensity matching to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach reading-fluency gains of 0.31 SD, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in literacy instruction in primary grades. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1235" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1235", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "12", "start_page": "84", "end_page": "99", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "teacher development", "professional learning", "student achievement", "pedagogy", "education policy" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Soil Health Indicators for Sustainable Land Management: A Comparative Study (2021)", "author": [ { "name": "Prof. Conor Murphy", "affiliation": "University College Cork" }, { "name": "Dr. Oliver Bramwell", "affiliation": "University of Cambridge" } ], "abstract": "This study investigates temperate cropping systems through the lens of soil health indicators for sustainable land management. We adopt a comparative case-study approach drawing on 2,587 cases collected between 2019 and 2021, and apply multi-year sampling with biological-physical-chemical battery to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach minimum dataset of 9 indicators validated, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in temperate cropping systems. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1236" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1236", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "12", "start_page": "100", "end_page": "115", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "soil health", "land management", "agriculture", "ecosystems", "sustainability" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Energy Harvesting from Ambient Vibrations Using Piezoelectric Materials: A Longitudinal Study (2021)", "author": [ { "name": "Dr. Takashi Kobayashi", "affiliation": "Tokyo Institute of Technology" }, { "name": "Prof. Wanjiku Odhiambo", "affiliation": "University of Nairobi" } ], "abstract": "This study investigates bridge-deck vibration sources through the lens of energy harvesting from ambient vibrations using piezoelectric materials. We adopt a comparative case-study approach drawing on 3,521 participants collected between 2019 and 2021, and apply tunable cantilever array with rectifier circuits to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach average power output of 1.4 mW per device, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in bridge-deck vibration sources. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1237" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1237", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "12", "start_page": "116", "end_page": "130", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "energy harvesting", "piezoelectric", "ambient vibration", "power generation", "MEMS" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Recommender Systems Using Hybrid Collaborative and Content-Based Filtering: A Longitudinal Study (2021)", "author": [ { "name": "Prof. Carmen Hernández", "affiliation": "Complutense University of Madrid" }, { "name": "Dr. Olivia Sinclair", "affiliation": "London School of Economics" } ], "abstract": "This study investigates online education catalogs through the lens of recommender systems using hybrid collaborative and content-based filtering. We adopt a prospective observational study drawing on 2,439 experimental units collected between 2019 and 2021, and apply neural collaborative filtering with content embeddings to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach NDCG@10 improvement of 18% over baseline, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in online education catalogs. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1238" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1238", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "12", "start_page": "131", "end_page": "148", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "recommender systems", "collaborative filtering", "content-based", "hybrid models", "personalization" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Corporate Governance and Regulatory Compliance in Emerging Markets: A Empirical Study (2021)", "author": [ { "name": "Dr. Salma Khalil", "affiliation": "Cairo University" }, { "name": "Dr. Marie Becker", "affiliation": "Max Planck Institute" } ], "abstract": "This study investigates listed firms in Latin America and Southeast Asia through the lens of corporate governance and regulatory compliance in emerging markets. We adopt a systematic review and meta-analysis drawing on 3,187 observations collected between 2019 and 2021, and apply panel analysis of governance-quality scores to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach compliance-rating upgrades raise market valuation by 6.1%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in listed firms in Latin America and Southeast Asia. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2021", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1239" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1239", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "12", "start_page": "149", "end_page": "164", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "corporate governance", "compliance", "emerging markets", "regulation", "accountability" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Trust in Institutions in the Digital Age: A Longitudinal Study (2022)", "author": [ { "name": "Dr. Selin Doğan", "affiliation": "Istanbul Technical University" }, { "name": "Dr. Bram Hendriks", "affiliation": "Erasmus University Rotterdam" } ], "abstract": "This study investigates European public-opinion surveys through the lens of trust in institutions in the digital age. We adopt a mixed-methods design drawing on 1,042 facilities collected between 2020 and 2022, and apply multilevel modeling across 24 countries to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach platform-news consumption explains 9% of trust variance, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in European public-opinion surveys. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1240" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1240", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "1", "start_page": "1", "end_page": "18", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "institutional trust", "digital media", "political science", "public opinion", "democracy" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Effects of Income Inequality on Health and Wellbeing: A Multinational Study (2022)", "author": [ { "name": "Dr. Andrea Hernández", "affiliation": "CINVESTAV" }, { "name": "Dr. Yossi Levi", "affiliation": "Technion" } ], "abstract": "This study investigates OECD member economies through the lens of effects of income inequality on health and wellbeing. We adopt a prospective observational study drawing on 1,021 participants collected between 2020 and 2022, and apply panel regression with country fixed effects to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 1-point Gini increase associated with 0.7% drop in self-rated health, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in OECD member economies. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1241" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1241", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "1", "start_page": "19", "end_page": "35", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "income inequality", "health", "wellbeing", "social determinants", "public policy" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "International Human Rights Law in the Context of Climate Change: A Comprehensive Study (2022)", "author": [ { "name": "Dr. Budi Sari", "affiliation": "Bandung Institute of Technology" }, { "name": "Dr. Paula García", "affiliation": "Complutense University of Madrid" } ], "abstract": "This study investigates small-island and Arctic communities through the lens of international human rights law in the context of climate change. We adopt a comparative case-study approach drawing on 2,427 subjects collected between 2020 and 2022, and apply doctrinal analysis with case-law mapping to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach emerging right-to-stable-climate doctrine identified in 9 jurisdictions, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in small-island and Arctic communities. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1242" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1242", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "1", "start_page": "36", "end_page": "52", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "human rights", "climate change", "international law", "environmental law", "justice" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Mental Health Interventions for Adolescents Using Digital Platforms", "author": [ { "name": "Prof. Pei Shan Teo", "affiliation": "Singapore Management University" }, { "name": "Prof. Wambui Otieno", "affiliation": "Kenyatta University" } ], "abstract": "This study investigates school-based prevention programs through the lens of mental health interventions for adolescents using digital platforms. We adopt a mixed-methods design drawing on 523 participants collected between 2020 and 2022, and apply randomized controlled trial with 940 participants to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach PHQ-9 scores reduced by 4.2 points at 6 months, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in school-based prevention programs. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1243" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1243", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "1", "start_page": "53", "end_page": "70", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "mental health", "adolescents", "digital health", "CBT", "mobile apps" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Entrepreneurial Ecosystems and Startup Success Factors: A Multinational Study (2022)", "author": [ { "name": "Dr. Andrew Robinson", "affiliation": "Harvard University" }, { "name": "Dr. Charlotte Whitley", "affiliation": "University of Queensland" } ], "abstract": "This study investigates tech-startup hubs in Asia and Europe through the lens of entrepreneurial ecosystems and startup success factors. We adopt a randomized controlled trial drawing on 3,664 facilities collected between 2020 and 2022, and apply qualitative comparative analysis of 35 ecosystem cases to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach talent-density configuration is necessary in 92% of high-growth cases, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in tech-startup hubs in Asia and Europe. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1244" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1244", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "1", "start_page": "71", "end_page": "85", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "entrepreneurship", "ecosystems", "startups", "venture capital", "innovation" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Inclusive Education Practices for Students with Disabilities: A Multinational Study (2022)", "author": [ { "name": "Dr. Neha Krishnan", "affiliation": "Indian Institute of Technology Madras" }, { "name": "Dr. Gabriel Rodrigues", "affiliation": "Federal University of Minas Gerais" } ], "abstract": "This study investigates secondary mainstream classrooms through the lens of inclusive education practices for students with disabilities. We adopt a comparative case-study approach drawing on 2,304 observations collected between 2020 and 2022, and apply multi-site case study of 22 schools to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach inclusion-climate index improved by 28%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in secondary mainstream classrooms. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1245" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1245", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "1", "start_page": "86", "end_page": "103", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "inclusive education", "disabilities", "accessibility", "special needs", "equity" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Digital Transformation and Organizational Agility: A Comparative Study (2022)", "author": [ { "name": "Dr. Antoine Laurent", "affiliation": "École Polytechnique" }, { "name": "Dr. Jack Kingsley", "affiliation": "University of Sydney" } ], "abstract": "This study investigates mid-sized service firms through the lens of digital transformation and organizational agility. We adopt a comparative case-study approach drawing on 2,547 participants collected between 2020 and 2022, and apply longitudinal case-study comparison across 18 organizations to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach agility score gains of 2.3 points on a 7-point scale, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in mid-sized service firms. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1246" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1246", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "1", "start_page": "104", "end_page": "119", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "digital transformation", "organizational agility", "change management", "ICT", "strategy" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Thermal Management Strategies for High-Density Data Center Cooling: A Cross-Sectoral Study (2022)", "author": [ { "name": "Dr. Ifeanyi Adesanya", "affiliation": "Obafemi Awolowo University" }, { "name": "Dr. Femke Bakker", "affiliation": "Delft University of Technology" } ], "abstract": "This study investigates hyperscale facilities through the lens of thermal management strategies for high-density data center cooling. We adopt a sequential explanatory design drawing on 625 cases collected between 2020 and 2022, and apply two-phase immersion cooling with airflow re-design to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach PUE reduction from 1.42 to 1.13, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in hyperscale facilities. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1247" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1247", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "1", "start_page": "120", "end_page": "136", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "thermal management", "data centers", "cooling", "energy efficiency", "HVAC" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Explainable AI for High-Stakes Decision Systems: A Cross-Sectoral Study (2022)", "author": [ { "name": "Dr. Carlos Hernández", "affiliation": "National Autonomous University of Mexico" }, { "name": "Dr. Si Ying Wong", "affiliation": "National University of Singapore" } ], "abstract": "This study investigates credit risk and clinical triage models through the lens of explainable ai for high-stakes decision systems. We adopt a mixed-methods design drawing on 2,440 subjects collected between 2020 and 2022, and apply SHAP-based local attribution with stability auditing to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 92% expert agreement with model rationales, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in credit risk and clinical triage models. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1248" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1248", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "1", "start_page": "137", "end_page": "151", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "explainable AI", "XAI", "interpretability", "model transparency", "trust" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Healthcare Worker Burnout: Predictors and Mitigation Strategies: A Empirical Study (2022)", "author": [ { "name": "Dr. Marek Kowalski", "affiliation": "Jagiellonian University" }, { "name": "Prof. Luca Romano", "affiliation": "University of Bologna" } ], "abstract": "This study investigates tertiary-hospital nursing staff through the lens of healthcare worker burnout: predictors and mitigation strategies. We adopt a sequential explanatory design drawing on 1,348 records collected between 2020 and 2022, and apply longitudinal survey with structural-equation modeling to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach psychological-safety climate β = -0.47 on burnout, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in tertiary-hospital nursing staff. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1249" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1249", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "1", "start_page": "152", "end_page": "168", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "burnout", "healthcare workers", "occupational health", "resilience", "wellbeing" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Public Health Interventions for Infectious Disease Control", "author": [ { "name": "Dr. Jack O'Brien", "affiliation": "University of New South Wales" }, { "name": "Dr. Aditya Chatterjee", "affiliation": "Indian Institute of Technology Bombay" } ], "abstract": "This study investigates regional measles outbreaks through the lens of public health interventions for infectious disease control. We adopt a longitudinal cohort study drawing on 4,101 observations collected between 2020 and 2022, and apply compartmental modeling with vaccination scenarios to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach outbreak duration shortened by 38% under ring vaccination, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in regional measles outbreaks. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1250" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1250", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "2", "start_page": "1", "end_page": "18", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "public health", "infectious disease", "epidemiology", "vaccination", "surveillance" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Quantum Algorithms for Combinatorial Optimization Problems: A Comprehensive Study (2022)", "author": [ { "name": "Dr. Connor McKenzie", "affiliation": "University of British Columbia" }, { "name": "Dr. Wei Zhou", "affiliation": "University of Science and Technology of China" } ], "abstract": "This study investigates vehicle routing instances through the lens of quantum algorithms for combinatorial optimization problems. We adopt a systematic review and meta-analysis drawing on 3,567 records collected between 2020 and 2022, and apply Quantum Approximate Optimization Algorithm to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach solution quality within 4% of classical optima for small instances, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in vehicle routing instances. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1251" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1251", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "2", "start_page": "19", "end_page": "35", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "quantum computing", "optimization", "QAOA", "NISQ", "combinatorics" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Additive Manufacturing of Lightweight Aerospace Components: A Longitudinal Study (2022)", "author": [ { "name": "Dr. Hye-jin Jung", "affiliation": "Seoul National University" }, { "name": "Dr. Mehmet Demir", "affiliation": "Istanbul Technical University" } ], "abstract": "This study investigates titanium bracket geometries through the lens of additive manufacturing of lightweight aerospace components. We adopt a comparative case-study approach drawing on 1,676 records collected between 2020 and 2022, and apply selective laser melting with topology-optimized lattice infills to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 37% mass reduction with equivalent stiffness, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in titanium bracket geometries. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1252" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1252", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "2", "start_page": "36", "end_page": "50", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "additive manufacturing", "3D printing", "aerospace", "lightweight structures", "topology optimization" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Robotic Process Automation in Manufacturing Quality Control: A Multinational Study (2022)", "author": [ { "name": "Dr. Adaeze Adeyemi", "affiliation": "Covenant University" }, { "name": "Dr. Marie Schäfer", "affiliation": "Technical University of Munich" } ], "abstract": "This study investigates automotive assembly lines through the lens of robotic process automation in manufacturing quality control. We adopt a prospective observational study drawing on 3,669 participants collected between 2020 and 2022, and apply vision-guided cobot inspection cells to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach defect-escape rate reduced by 64%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in automotive assembly lines. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1253" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1253", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "2", "start_page": "51", "end_page": "66", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "robotics", "manufacturing", "quality control", "automation", "industry 4.0" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Constitutional Reforms in Modern Democracies: Comparative Analysis: A Longitudinal Study (2022)", "author": [ { "name": "Dr. Si Ying Ong", "affiliation": "Nanyang Technological University" }, { "name": "Dr. Valentina Romero", "affiliation": "University of Buenos Aires" } ], "abstract": "This study investigates post-2000 constitutional amendments through the lens of constitutional reforms in modern democracies: comparative analysis. We adopt a comparative case-study approach drawing on 803 cases collected between 2020 and 2022, and apply comparative typology of 47 reform episodes to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach deliberative-procedure use correlates with reform durability (r = 0.52), with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in post-2000 constitutional amendments. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1254" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1254", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "2", "start_page": "67", "end_page": "83", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "constitutional law", "democracy", "reform", "comparative law", "governance" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Biodiversity Conservation in Tropical Forest Ecosystems: A Longitudinal Study (2022)", "author": [ { "name": "Dr. Hui Lin Tan", "affiliation": "Nanyang Technological University" }, { "name": "Dr. George Thornton", "affiliation": "University of Cambridge" } ], "abstract": "This study investigates Amazonian and Congo basin reserves through the lens of biodiversity conservation in tropical forest ecosystems. We adopt a prospective observational study drawing on 4,424 cases collected between 2020 and 2022, and apply camera-trap and acoustic survey across 38 plots to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach species richness 27% higher in community-managed plots, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in Amazonian and Congo basin reserves. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1255" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1255", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "2", "start_page": "84", "end_page": "98", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "biodiversity", "tropical forests", "conservation", "ecology", "ecosystems" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Behavioral Economics of Decision Making Under Uncertainty: A Multinational Study (2022)", "author": [ { "name": "Dr. Lukas Müller", "affiliation": "Humboldt University Berlin" }, { "name": "Dr. Camila Costa", "affiliation": "Federal University of Rio de Janeiro" } ], "abstract": "This study investigates household financial decisions through the lens of behavioral economics of decision making under uncertainty. We adopt a quasi-experimental design drawing on 3,779 cases collected between 2020 and 2022, and apply incentivized lab and field experiments (n = 2,100) to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach loss-aversion coefficient estimated at 2.13, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in household financial decisions. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1256" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1256", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "2", "start_page": "99", "end_page": "115", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "behavioral economics", "decision making", "uncertainty", "heuristics", "experiments" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "STEM Education Initiatives for Girls in Underserved Communities", "author": [ { "name": "Dr. Liam Doyle", "affiliation": "Trinity College Dublin" }, { "name": "Prof. Faisal Al-Harbi", "affiliation": "King Abdullah University of Science and Technology" } ], "abstract": "This study investigates rural and peri-urban schools through the lens of stem education initiatives for girls in underserved communities. We adopt a mixed-methods design drawing on 3,082 participants collected between 2020 and 2022, and apply longitudinal cohort with role-model mentoring to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach STEM-major aspiration rates rose from 18% to 41%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in rural and peri-urban schools. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1257" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1257", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "2", "start_page": "116", "end_page": "133", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "STEM", "gender equity", "education", "girls", "intervention" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Computational Fluid Dynamics Analysis of Wind Turbine Blade Optimization: A Comparative Study (2022)", "author": [ { "name": "Dr. Magdalena Zieliński", "affiliation": "AGH University" }, { "name": "Prof. Elena Martínez", "affiliation": "University of Barcelona" } ], "abstract": "This study investigates horizontal-axis turbine rotors through the lens of computational fluid dynamics analysis of wind turbine blade optimization. We adopt a randomized controlled trial drawing on 3,474 observations collected between 2020 and 2022, and apply RANS-based CFD coupled with a genetic optimizer to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 5.8% gain in annual energy production, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in horizontal-axis turbine rotors. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1258" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1258", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "2", "start_page": "134", "end_page": "150", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "CFD", "wind turbines", "aerodynamics", "blade design", "renewable energy" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Renewable Energy Integration in Smart Grid Systems: A Cross-Sectoral Study (2022)", "author": [ { "name": "Dr. Sophie Neumann", "affiliation": "University of Bonn" }, { "name": "Dr. Léa Beaumont", "affiliation": "École Polytechnique" } ], "abstract": "This study investigates regional distribution networks through the lens of renewable energy integration in smart grid systems. We adopt a sequential explanatory design drawing on 4,357 records collected between 2020 and 2022, and apply model-predictive dispatch with battery co-optimization to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 15% increase in renewables hosting capacity, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in regional distribution networks. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1259" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1259", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "2", "start_page": "151", "end_page": "167", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "smart grid", "renewable energy", "grid integration", "power electronics", "energy storage" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Digital Divide and Access to Public Services in Rural Areas: A Comparative Study (2022)", "author": [ { "name": "Dr. Matthias Vogel", "affiliation": "University of Geneva" }, { "name": "Dr. Giulia Russo", "affiliation": "University of Padua" } ], "abstract": "This study investigates e-government rollout in low-bandwidth regions through the lens of digital divide and access to public services in rural areas. We adopt a prospective observational study drawing on 3,392 facilities collected between 2020 and 2022, and apply geo-spatial analysis combined with citizen surveys to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach service-uptake gap of 34 percentage points vs. urban areas, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in e-government rollout in low-bandwidth regions. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1260" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1260", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "3", "start_page": "1", "end_page": "16", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "digital divide", "rural access", "public services", "ICT", "equity" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Autonomous Vehicle Perception Systems Using Multi-Sensor Fusion: A Longitudinal Study (2022)", "author": [ { "name": "Dr. Si Ying Goh", "affiliation": "National University of Singapore" }, { "name": "Dr. Mathieu Beaumont", "affiliation": "HEC Paris" } ], "abstract": "This study investigates urban driving scenarios through the lens of autonomous vehicle perception systems using multi-sensor fusion. We adopt a longitudinal cohort study drawing on 807 cases collected between 2020 and 2022, and apply Kalman-filter fusion of LiDAR, camera, and radar streams to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach object-detection mAP of 0.87 across 12 weather conditions, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in urban driving scenarios. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1261" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1261", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "3", "start_page": "17", "end_page": "31", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "autonomous vehicles", "sensor fusion", "LiDAR", "perception", "robotics" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Risk Management Frameworks for Financial Services in Volatile Markets: A Empirical Study (2022)", "author": [ { "name": "Dr. Otieno Mwangi", "affiliation": "Moi University" }, { "name": "Dr. Liam Whitley", "affiliation": "Australian National University" } ], "abstract": "This study investigates mid-size commercial banks through the lens of risk management frameworks for financial services in volatile markets. We adopt a comparative case-study approach drawing on 3,075 experimental units collected between 2020 and 2022, and apply Monte-Carlo stress testing under 50,000 macro paths to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach expected-shortfall coverage improved by 19%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in mid-size commercial banks. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1262" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1262", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "3", "start_page": "32", "end_page": "46", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "risk management", "financial services", "volatility", "Basel", "compliance" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Inclusive Education Practices for Students with Disabilities: A Longitudinal Study (2022)", "author": [ { "name": "Dr. Ricardo Castillo", "affiliation": "Tecnológico de Monterrey" }, { "name": "Dr. Cian Kelly", "affiliation": "Trinity College Dublin" } ], "abstract": "This study investigates secondary mainstream classrooms through the lens of inclusive education practices for students with disabilities. We adopt a longitudinal cohort study drawing on 1,487 participants collected between 2020 and 2022, and apply multi-site case study of 22 schools to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach inclusion-climate index improved by 28%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in secondary mainstream classrooms. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1263" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1263", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "3", "start_page": "47", "end_page": "62", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "inclusive education", "disabilities", "accessibility", "special needs", "equity" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Mental Health Interventions for Adolescents Using Digital Platforms: A Multinational Study (2022)", "author": [ { "name": "Dr. Mathieu Moreau", "affiliation": "Université PSL" }, { "name": "Dr. Da-eun Kang", "affiliation": "Yonsei University" } ], "abstract": "This study investigates school-based prevention programs through the lens of mental health interventions for adolescents using digital platforms. We adopt a systematic review and meta-analysis drawing on 1,451 subjects collected between 2020 and 2022, and apply randomized controlled trial with 940 participants to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach PHQ-9 scores reduced by 4.2 points at 6 months, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in school-based prevention programs. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1264" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1264", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "3", "start_page": "63", "end_page": "77", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "mental health", "adolescents", "digital health", "CBT", "mobile apps" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Additive Manufacturing of Lightweight Aerospace Components: A Empirical Study (2022)", "author": [ { "name": "Prof. Takashi Tanaka", "affiliation": "Tohoku University" }, { "name": "Dr. Chinedu Achebe", "affiliation": "University of Lagos" } ], "abstract": "This study investigates titanium bracket geometries through the lens of additive manufacturing of lightweight aerospace components. We adopt a systematic review and meta-analysis drawing on 3,939 subjects collected between 2020 and 2022, and apply selective laser melting with topology-optimized lattice infills to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 37% mass reduction with equivalent stiffness, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in titanium bracket geometries. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1265" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1265", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "3", "start_page": "78", "end_page": "95", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "additive manufacturing", "3D printing", "aerospace", "lightweight structures", "topology optimization" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Corporate Governance and Regulatory Compliance in Emerging Markets: A Longitudinal Study (2022)", "author": [ { "name": "Prof. Ciara Walsh", "affiliation": "University College Cork" }, { "name": "Dr. Elsa Holmberg", "affiliation": "Stockholm University" } ], "abstract": "This study investigates listed firms in Latin America and Southeast Asia through the lens of corporate governance and regulatory compliance in emerging markets. We adopt a prospective observational study drawing on 568 records collected between 2020 and 2022, and apply panel analysis of governance-quality scores to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach compliance-rating upgrades raise market valuation by 6.1%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in listed firms in Latin America and Southeast Asia. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1266" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1266", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "3", "start_page": "96", "end_page": "112", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "corporate governance", "compliance", "emerging markets", "regulation", "accountability" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Climate Change Adaptation Strategies for Coastal Cities: A Empirical Study (2022)", "author": [ { "name": "Dr. Giulia Romano", "affiliation": "Sapienza University of Rome" }, { "name": "Dr. Thomas Pemberton", "affiliation": "London School of Economics" } ], "abstract": "This study investigates mid-size coastal municipalities through the lens of climate change adaptation strategies for coastal cities. We adopt a longitudinal cohort study drawing on 1,464 subjects collected between 2020 and 2022, and apply vulnerability-index modeling with adaptation-pathway design to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach prioritized 12 high-leverage adaptation actions, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in mid-size coastal municipalities. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1267" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1267", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "3", "start_page": "113", "end_page": "129", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "climate adaptation", "coastal cities", "sea level rise", "resilience", "urban planning" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Online Learning Effectiveness in Higher Education During the Post-pandemic Era: A Cross-Sectoral Study (2022)", "author": [ { "name": "Dr. Camille Beaumont", "affiliation": "INSEAD" }, { "name": "Dr. Divya Reddy", "affiliation": "University of Delhi" } ], "abstract": "This study investigates post-pandemic through the lens of online learning effectiveness in higher education during the post-pandemic era. We adopt a prospective observational study drawing on 1,047 subjects collected between 2020 and 2022, and apply meta-analysis of 142 controlled studies to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach pooled effect size d = 0.21 favoring blended designs, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in post-pandemic. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1268" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1268", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "3", "start_page": "130", "end_page": "145", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "online learning", "higher education", "educational technology", "pedagogy", "outcomes" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Refugee Law and Statelessness in the 21st Century: A Longitudinal Study (2022)", "author": [ { "name": "Dr. Agnieszka Nowak", "affiliation": "Jagiellonian University" }, { "name": "Dr. Sven Hansen", "affiliation": "Norwegian Polar Institute" } ], "abstract": "This study investigates protracted displacement contexts through the lens of refugee law and statelessness in the 21st century. We adopt a sequential explanatory design drawing on 779 experimental units collected between 2020 and 2022, and apply doctrinal review and field interviews in three host states to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach identification of four protection-gap categories, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in protracted displacement contexts. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1269" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1269", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "3", "start_page": "146", "end_page": "160", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "refugee law", "statelessness", "international law", "human rights", "migration" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Quantum Algorithms for Combinatorial Optimization Problems: A Longitudinal Study (2022)", "author": [ { "name": "Prof. Agnieszka Wójcik", "affiliation": "AGH University" }, { "name": "Dr. Nicolás Acosta", "affiliation": "National University of Córdoba" } ], "abstract": "This study investigates vehicle routing instances through the lens of quantum algorithms for combinatorial optimization problems. We adopt a randomized controlled trial drawing on 3,254 cases collected between 2020 and 2022, and apply Quantum Approximate Optimization Algorithm to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach solution quality within 4% of classical optima for small instances, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in vehicle routing instances. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1270" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1270", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "4", "start_page": "1", "end_page": "15", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "quantum computing", "optimization", "QAOA", "NISQ", "combinatorics" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Corporate Social Responsibility and Financial Performance: A Comparative Study (2022)", "author": [ { "name": "Dr. Mehmet Yılmaz", "affiliation": "Middle East Technical University" }, { "name": "Dr. Camille Moreau", "affiliation": "Université PSL" } ], "abstract": "This study investigates publicly listed firms in emerging markets through the lens of corporate social responsibility and financial performance. We adopt a mixed-methods design drawing on 627 facilities collected between 2020 and 2022, and apply fixed-effects panel regression on 600 firm-years to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach CSR-score top-quartile firms outperform by 4.2% ROA, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in publicly listed firms in emerging markets. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1271" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1271", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "4", "start_page": "16", "end_page": "32", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "CSR", "financial performance", "sustainability", "ESG", "stakeholder theory" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Constitutional Reforms in Modern Democracies: Comparative Analysis: A Comprehensive Study (2022)", "author": [ { "name": "Dr. Elif Kaya", "affiliation": "Istanbul Technical University" }, { "name": "Dr. Marek Szymański", "affiliation": "Warsaw University of Technology" } ], "abstract": "This study investigates post-2000 constitutional amendments through the lens of constitutional reforms in modern democracies: comparative analysis. We adopt a comparative case-study approach drawing on 3,117 observations collected between 2020 and 2022, and apply comparative typology of 47 reform episodes to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach deliberative-procedure use correlates with reform durability (r = 0.52), with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in post-2000 constitutional amendments. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1272" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1272", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "4", "start_page": "33", "end_page": "49", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "constitutional law", "democracy", "reform", "comparative law", "governance" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "STEM Education Initiatives for Girls in Underserved Communities: A Longitudinal Study (2022)", "author": [ { "name": "Dr. Beatriz Oliveira", "affiliation": "Federal University of Rio de Janeiro" }, { "name": "Dr. Gabriela Mendoza", "affiliation": "National Autonomous University of Mexico" } ], "abstract": "This study investigates rural and peri-urban schools through the lens of stem education initiatives for girls in underserved communities. We adopt a mixed-methods design drawing on 3,881 facilities collected between 2020 and 2022, and apply longitudinal cohort with role-model mentoring to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach STEM-major aspiration rates rose from 18% to 41%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in rural and peri-urban schools. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1273" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1273", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "4", "start_page": "50", "end_page": "67", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "STEM", "gender equity", "education", "girls", "intervention" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Effects of Income Inequality on Health and Wellbeing: A Cross-Sectoral Study (2022)", "author": [ { "name": "Dr. Ryan Pelletier", "affiliation": "University of Waterloo" }, { "name": "Dr. Mariana Ribeiro", "affiliation": "Federal University of Minas Gerais" } ], "abstract": "This study investigates OECD member economies through the lens of effects of income inequality on health and wellbeing. We adopt a sequential explanatory design drawing on 3,352 participants collected between 2020 and 2022, and apply panel regression with country fixed effects to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 1-point Gini increase associated with 0.7% drop in self-rated health, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in OECD member economies. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1274" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1274", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "4", "start_page": "68", "end_page": "83", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "income inequality", "health", "wellbeing", "social determinants", "public policy" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Leadership Styles and Employee Engagement: A Cross-Cultural Study: A Comprehensive Study (2022)", "author": [ { "name": "Dr. Rafael Almeida", "affiliation": "University of São Paulo" }, { "name": "Prof. Mariko Kobayashi", "affiliation": "University of Tokyo" } ], "abstract": "This study investigates professional-services firms across four countries through the lens of leadership styles and employee engagement: a cross-cultural study. We adopt a longitudinal cohort study drawing on 1,701 observations collected between 2020 and 2022, and apply multilevel regression with cultural moderators to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach transformational leadership β = 0.52 on engagement, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in professional-services firms across four countries. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1275" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1275", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "4", "start_page": "84", "end_page": "99", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "leadership", "employee engagement", "cross-cultural", "HRM", "organizational behavior" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Aging Populations and the Future of Social Welfare Systems: A Multinational Study (2022)", "author": [ { "name": "Dr. Camille Beaumont", "affiliation": "HEC Paris" }, { "name": "Dr. Carmen García", "affiliation": "Pompeu Fabra University" } ], "abstract": "This study investigates OECD pension systems through the lens of aging populations and the future of social welfare systems. We adopt a systematic review and meta-analysis drawing on 476 cases collected between 2020 and 2022, and apply actuarial micro-simulation with policy scenarios to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach old-age dependency burden grows by 38% by 2040 under status quo, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in OECD pension systems. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1276" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1276", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "4", "start_page": "100", "end_page": "117", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "aging", "social welfare", "demographics", "public policy", "pensions" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Maternal Health Outcomes in Low-Resource Settings: A Multinational Study (2022)", "author": [ { "name": "Dr. Lukas Frei", "affiliation": "EPFL" }, { "name": "Prof. Rizky Sari", "affiliation": "University of Indonesia" } ], "abstract": "This study investigates rural districts in Sub-Saharan Africa through the lens of maternal health outcomes in low-resource settings. We adopt a sequential explanatory design drawing on 1,972 cases collected between 2020 and 2022, and apply stepped-wedge cluster trial across 18 facilities to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach obstetric-complication response time halved, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in rural districts in Sub-Saharan Africa. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1277" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1277", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "4", "start_page": "118", "end_page": "133", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "maternal health", "global health", "midwifery", "health systems", "equity" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Refugee Law and Statelessness in the 21st Century: A Multinational Study (2022)", "author": [ { "name": "Prof. Agnieszka Wójcik", "affiliation": "AGH University" }, { "name": "Dr. Rana Nasser", "affiliation": "Alexandria University" } ], "abstract": "This study investigates protracted displacement contexts through the lens of refugee law and statelessness in the 21st century. We adopt a quasi-experimental design drawing on 778 facilities collected between 2020 and 2022, and apply doctrinal review and field interviews in three host states to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach identification of four protection-gap categories, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in protracted displacement contexts. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1278" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1278", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "4", "start_page": "134", "end_page": "148", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "refugee law", "statelessness", "international law", "human rights", "migration" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Container Orchestration at Scale: Performance Benchmarks for Cloud-Native Workloads: A Multinational Study (2022)", "author": [ { "name": "Dr. Astrid Andersen", "affiliation": "University of Oslo" }, { "name": "Dr. Florian Hofer", "affiliation": "EPFL" } ], "abstract": "This study investigates multi-tenant clusters through the lens of container orchestration at scale: performance benchmarks for cloud-native workloads. We adopt a sequential explanatory design drawing on 4,213 cases collected between 2020 and 2022, and apply controlled benchmark with synthetic and production traces to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach scheduler throughput of 1,800 pods/min on a 500-node cluster, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in multi-tenant clusters. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1279" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1279", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "4", "start_page": "149", "end_page": "164", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "containers", "Kubernetes", "cloud-native", "performance", "scalability" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Digital Transformation and Organizational Agility: A Multinational Study (2022)", "author": [ { "name": "Dr. Eoin O'Sullivan", "affiliation": "NUI Galway" }, { "name": "Dr. Julien Beaumont", "affiliation": "Sorbonne Université" } ], "abstract": "This study investigates mid-sized service firms through the lens of digital transformation and organizational agility. We adopt a systematic review and meta-analysis drawing on 1,600 records collected between 2020 and 2022, and apply longitudinal case-study comparison across 18 organizations to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach agility score gains of 2.3 points on a 7-point scale, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in mid-sized service firms. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1280" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1280", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "5", "start_page": "1", "end_page": "15", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "digital transformation", "organizational agility", "change management", "ICT", "strategy" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Customer Relationship Management Analytics for Service Industries: A Comprehensive Study (2022)", "author": [ { "name": "Dr. Chioma Nwosu", "affiliation": "Ahmadu Bello University" }, { "name": "Dr. Ahmed Nasser", "affiliation": "Cairo University" } ], "abstract": "This study investigates telecom subscriber bases through the lens of customer relationship management analytics for service industries. We adopt a quasi-experimental design drawing on 2,051 facilities collected between 2020 and 2022, and apply gradient-boosted churn modeling with uplift estimation to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach annual retention savings estimated at USD 12.4 million, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in telecom subscriber bases. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1281" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1281", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "5", "start_page": "16", "end_page": "31", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "CRM", "analytics", "customer retention", "service marketing", "churn" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Computational Fluid Dynamics Analysis of Wind Turbine Blade Optimization: A Comprehensive Study (2022)", "author": [ { "name": "Dr. Ifeanyi Adeyemi", "affiliation": "University of Ibadan" }, { "name": "Prof. William Lockwood", "affiliation": "University of Cambridge" } ], "abstract": "This study investigates horizontal-axis turbine rotors through the lens of computational fluid dynamics analysis of wind turbine blade optimization. We adopt a sequential explanatory design drawing on 4,307 instances collected between 2020 and 2022, and apply RANS-based CFD coupled with a genetic optimizer to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 5.8% gain in annual energy production, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in horizontal-axis turbine rotors. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1282" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1282", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "5", "start_page": "32", "end_page": "46", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "CFD", "wind turbines", "aerodynamics", "blade design", "renewable energy" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Sustainable Agriculture Practices for Food Security: A Multinational Study (2022)", "author": [ { "name": "Dr. Khalid Al-Dosari", "affiliation": "King Saud University" }, { "name": "Dr. Ling Yang", "affiliation": "Nanjing University" } ], "abstract": "This study investigates smallholder farms in semi-arid regions through the lens of sustainable agriculture practices for food security. We adopt a systematic review and meta-analysis drawing on 2,989 facilities collected between 2020 and 2022, and apply on-farm trials across 220 sites over four seasons to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach yield-stability index improved by 23%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in smallholder farms in semi-arid regions. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1283" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1283", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "5", "start_page": "47", "end_page": "64", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "sustainable agriculture", "food security", "agroecology", "climate-smart", "yields" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Soil Health Indicators for Sustainable Land Management: A Cross-Sectoral Study (2022)", "author": [ { "name": "Dr. Ava McKenzie", "affiliation": "Queen's University" }, { "name": "Dr. Ahmet Demir", "affiliation": "Middle East Technical University" } ], "abstract": "This study investigates temperate cropping systems through the lens of soil health indicators for sustainable land management. We adopt a mixed-methods design drawing on 551 cases collected between 2020 and 2022, and apply multi-year sampling with biological-physical-chemical battery to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach minimum dataset of 9 indicators validated, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in temperate cropping systems. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1284" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1284", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "5", "start_page": "65", "end_page": "81", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "soil health", "land management", "agriculture", "ecosystems", "sustainability" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Antitrust Law in the Age of Digital Platforms: A Comprehensive Study (2022)", "author": [ { "name": "Prof. Lucía Gómez", "affiliation": "Universidad Austral" }, { "name": "Dr. Wambui Mwangi", "affiliation": "University of Nairobi" } ], "abstract": "This study investigates two-sided digital marketplaces through the lens of antitrust law in the age of digital platforms. We adopt a randomized controlled trial drawing on 4,460 instances collected between 2020 and 2022, and apply economic-modeling-informed legal analysis to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach proposal of three new theories of harm, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in two-sided digital marketplaces. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1285" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1285", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "5", "start_page": "82", "end_page": "98", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "antitrust", "competition law", "digital platforms", "monopoly", "regulation" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Graph Neural Networks for Knowledge Graph Completion: A Empirical Study (2022)", "author": [ { "name": "Dr. Valentina Álvarez", "affiliation": "National University of Córdoba" }, { "name": "Dr. So-yeon Yoon", "affiliation": "Korea University" } ], "abstract": "This study investigates biomedical knowledge graphs through the lens of graph neural networks for knowledge graph completion. We adopt a sequential explanatory design drawing on 1,767 instances collected between 2020 and 2022, and apply relational graph convolutional network to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach MRR of 0.612 on FB15k-237, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in biomedical knowledge graphs. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1286" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1286", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "5", "start_page": "99", "end_page": "115", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "graph neural networks", "knowledge graphs", "representation learning", "link prediction", "embeddings" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Pharmacological Innovations in Treatment of Antibiotic-Resistant Infections: A Longitudinal Study (2022)", "author": [ { "name": "Dr. Neha Subramanian", "affiliation": "Indian Institute of Technology Bombay" }, { "name": "Dr. Mei Zhou", "affiliation": "University of Science and Technology of China" } ], "abstract": "This study investigates carbapenem-resistant Enterobacterales through the lens of pharmacological innovations in treatment of antibiotic-resistant infections. We adopt a quasi-experimental design drawing on 2,811 observations collected between 2020 and 2022, and apply in-vitro screening of 1,200 compound candidates to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach two lead compounds with MIC ≤ 1 µg/mL, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in carbapenem-resistant Enterobacterales. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1287" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1287", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "5", "start_page": "116", "end_page": "131", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "antibiotics", "drug resistance", "pharmacology", "infectious disease", "novel therapeutics" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Hydrogen Fuel Cell Performance Optimization for Heavy-Duty Transport: A Multinational Study (2022)", "author": [ { "name": "Dr. Bruno Rodrigues", "affiliation": "University of Campinas" }, { "name": "Dr. Njoroge Maina", "affiliation": "University of Nairobi" } ], "abstract": "This study investigates long-haul truck powertrains through the lens of hydrogen fuel cell performance optimization for heavy-duty transport. We adopt a sequential explanatory design drawing on 1,078 observations collected between 2020 and 2022, and apply membrane-electrode assembly redesign with thermal control to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach stack efficiency raised to 58%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in long-haul truck powertrains. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1288" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1288", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "5", "start_page": "132", "end_page": "146", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "hydrogen", "fuel cells", "heavy-duty transport", "clean energy", "efficiency" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Educational Equity in Multilingual Classrooms: A Comprehensive Study (2022)", "author": [ { "name": "Dr. Suresh Rao", "affiliation": "Indian Institute of Management Ahmedabad" }, { "name": "Dr. Andreas Schmidt", "affiliation": "Heidelberg University" } ], "abstract": "This study investigates immigrant-receiving urban districts through the lens of educational equity in multilingual classrooms. We adopt a longitudinal cohort study drawing on 2,773 subjects collected between 2020 and 2022, and apply policy analysis combined with classroom observation to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach scaffolded multilingual instruction narrowed reading gaps by 31%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in immigrant-receiving urban districts. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1289" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1289", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "5", "start_page": "147", "end_page": "162", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "educational equity", "multilingual", "language education", "diversity", "access" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Quantum Algorithms for Combinatorial Optimization Problems: A Multinational Study (2022)", "author": [ { "name": "Dr. Jack Kingsley", "affiliation": "University of New South Wales" }, { "name": "Dr. Bruno Almeida", "affiliation": "Federal University of Minas Gerais" } ], "abstract": "This study investigates vehicle routing instances through the lens of quantum algorithms for combinatorial optimization problems. We adopt a longitudinal cohort study drawing on 2,513 participants collected between 2020 and 2022, and apply Quantum Approximate Optimization Algorithm to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach solution quality within 4% of classical optima for small instances, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in vehicle routing instances. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1290" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1290", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "6", "start_page": "1", "end_page": "17", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "quantum computing", "optimization", "QAOA", "NISQ", "combinatorics" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Healthcare Worker Burnout: Predictors and Mitigation Strategies: A Comparative Study (2022)", "author": [ { "name": "Dr. Pei Shan Tan", "affiliation": "Singapore Management University" }, { "name": "Dr. Zeynep Kaya", "affiliation": "Istanbul Technical University" } ], "abstract": "This study investigates tertiary-hospital nursing staff through the lens of healthcare worker burnout: predictors and mitigation strategies. We adopt a comparative case-study approach drawing on 1,165 participants collected between 2020 and 2022, and apply longitudinal survey with structural-equation modeling to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach psychological-safety climate β = -0.47 on burnout, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in tertiary-hospital nursing staff. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1291" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1291", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "6", "start_page": "18", "end_page": "32", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "burnout", "healthcare workers", "occupational health", "resilience", "wellbeing" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Consumer Behavior in Omnichannel Retail Environments: A Comparative Study (2022)", "author": [ { "name": "Dr. Sofía Sosa", "affiliation": "Universidad Austral" }, { "name": "Dr. Ciara Murphy", "affiliation": "Trinity College Dublin" } ], "abstract": "This study investigates fashion and grocery retail through the lens of consumer behavior in omnichannel retail environments. We adopt a prospective observational study drawing on 1,541 records collected between 2020 and 2022, and apply mixed-methods survey of 1,800 shoppers to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach channel-switching intention reduced by 27% with unified loyalty, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in fashion and grocery retail. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1292" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1292", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "6", "start_page": "33", "end_page": "50", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "consumer behavior", "omnichannel", "retail", "customer experience", "marketing" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Leadership Styles and Employee Engagement: A Cross-Cultural Study: A Cross-Sectoral Study (2022)", "author": [ { "name": "Dr. Bo Ma", "affiliation": "Tsinghua University" }, { "name": "Dr. Liam Whitley", "affiliation": "University of New South Wales" } ], "abstract": "This study investigates professional-services firms across four countries through the lens of leadership styles and employee engagement: a cross-cultural study. We adopt a comparative case-study approach drawing on 3,650 instances collected between 2020 and 2022, and apply multilevel regression with cultural moderators to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach transformational leadership β = 0.52 on engagement, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in professional-services firms across four countries. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1293" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1293", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "6", "start_page": "51", "end_page": "67", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "leadership", "employee engagement", "cross-cultural", "HRM", "organizational behavior" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Risk Management Frameworks for Financial Services in Volatile Markets: A Comparative Study (2022)", "author": [ { "name": "Dr. Ahmed Mahmoud", "affiliation": "Cairo University" }, { "name": "Dr. Emily Anderson", "affiliation": "UC Berkeley" } ], "abstract": "This study investigates mid-size commercial banks through the lens of risk management frameworks for financial services in volatile markets. We adopt a mixed-methods design drawing on 3,358 cases collected between 2020 and 2022, and apply Monte-Carlo stress testing under 50,000 macro paths to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach expected-shortfall coverage improved by 19%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in mid-size commercial banks. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1294" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1294", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "6", "start_page": "68", "end_page": "83", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "risk management", "financial services", "volatility", "Basel", "compliance" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Refugee Law and Statelessness in the 21st Century: A Empirical Study (2022)", "author": [ { "name": "Prof. Rizky Hartono", "affiliation": "Gadjah Mada University" }, { "name": "Dr. Élodie Beaumont", "affiliation": "INSEAD" } ], "abstract": "This study investigates protracted displacement contexts through the lens of refugee law and statelessness in the 21st century. We adopt a quasi-experimental design drawing on 1,084 participants collected between 2020 and 2022, and apply doctrinal review and field interviews in three host states to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach identification of four protection-gap categories, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in protracted displacement contexts. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1295" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1295", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "6", "start_page": "84", "end_page": "101", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "refugee law", "statelessness", "international law", "human rights", "migration" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Maternal Health Outcomes in Low-Resource Settings: A Longitudinal Study (2022)", "author": [ { "name": "Dr. Karthik Subramanian", "affiliation": "Tata Institute of Fundamental Research" }, { "name": "Dr. Charlotte Macarthur", "affiliation": "Australian National University" } ], "abstract": "This study investigates rural districts in Sub-Saharan Africa through the lens of maternal health outcomes in low-resource settings. We adopt a quasi-experimental design drawing on 3,454 records collected between 2020 and 2022, and apply stepped-wedge cluster trial across 18 facilities to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach obstetric-complication response time halved, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in rural districts in Sub-Saharan Africa. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1296" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1296", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "6", "start_page": "102", "end_page": "117", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "maternal health", "global health", "midwifery", "health systems", "equity" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "International Human Rights Law in the Context of Climate Change: A Cross-Sectoral Study (2022)", "author": [ { "name": "Dr. Krzysztof Lewandowski", "affiliation": "Warsaw University of Technology" }, { "name": "Dr. Omar Hassan", "affiliation": "Ain Shams University" } ], "abstract": "This study investigates small-island and Arctic communities through the lens of international human rights law in the context of climate change. We adopt a systematic review and meta-analysis drawing on 1,006 participants collected between 2020 and 2022, and apply doctrinal analysis with case-law mapping to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach emerging right-to-stable-climate doctrine identified in 9 jurisdictions, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in small-island and Arctic communities. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1297" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1297", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "6", "start_page": "118", "end_page": "135", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "human rights", "climate change", "international law", "environmental law", "justice" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Computational Fluid Dynamics Analysis of Wind Turbine Blade Optimization: A Longitudinal Study (2022)", "author": [ { "name": "Dr. Joshua Carter", "affiliation": "University of Michigan" }, { "name": "Dr. Gabriela Mendoza", "affiliation": "CINVESTAV" } ], "abstract": "This study investigates horizontal-axis turbine rotors through the lens of computational fluid dynamics analysis of wind turbine blade optimization. We adopt a randomized controlled trial drawing on 1,123 facilities collected between 2020 and 2022, and apply RANS-based CFD coupled with a genetic optimizer to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 5.8% gain in annual energy production, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in horizontal-axis turbine rotors. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1298" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1298", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "6", "start_page": "136", "end_page": "150", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "CFD", "wind turbines", "aerodynamics", "blade design", "renewable energy" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Assessment Reform: Authentic Assessment in Higher Education: A Longitudinal Study (2022)", "author": [ { "name": "Dr. Kamau Kariuki", "affiliation": "Strathmore University" }, { "name": "Prof. Diego Romero", "affiliation": "Universidad Austral" } ], "abstract": "This study investigates professional graduate programs through the lens of assessment reform: authentic assessment in higher education. We adopt a systematic review and meta-analysis drawing on 2,924 facilities collected between 2020 and 2022, and apply design-based research over four iterations to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach student-perceived learning gains improved by 0.47 SD, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in professional graduate programs. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1299" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1299", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "6", "start_page": "151", "end_page": "166", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "assessment", "authentic assessment", "higher education", "evaluation", "competencies" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Water Resource Management Under Climate Variability: A Comparative Study (2022)", "author": [ { "name": "Dr. Kagiso Dlamini", "affiliation": "Stellenbosch University" }, { "name": "Dr. Charlotte O'Brien", "affiliation": "University of New South Wales" } ], "abstract": "This study investigates transboundary river basins through the lens of water resource management under climate variability. We adopt a comparative case-study approach drawing on 1,798 participants collected between 2020 and 2022, and apply coupled hydrologic and decision-support modeling to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach cooperative-allocation strategies cut shortage events by 41%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in transboundary river basins. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1300" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1300", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "7", "start_page": "1", "end_page": "18", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "water resources", "climate variability", "hydrology", "drought", "management" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Public Health Interventions for Infectious Disease Control: A Empirical Study (2022)", "author": [ { "name": "Dr. Tao Lin", "affiliation": "Tsinghua University" }, { "name": "Dr. Selin Öztürk", "affiliation": "Middle East Technical University" } ], "abstract": "This study investigates regional measles outbreaks through the lens of public health interventions for infectious disease control. We adopt a randomized controlled trial drawing on 2,942 subjects collected between 2020 and 2022, and apply compartmental modeling with vaccination scenarios to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach outbreak duration shortened by 38% under ring vaccination, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in regional measles outbreaks. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1301" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1301", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "7", "start_page": "19", "end_page": "35", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "public health", "infectious disease", "epidemiology", "vaccination", "surveillance" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Federated Learning for Privacy-Preserving Analytics in Hospital networks: A Longitudinal Study (2022)", "author": [ { "name": "Dr. Mia Whitley", "affiliation": "Monash University" }, { "name": "Dr. Hao Li", "affiliation": "Nanjing University" } ], "abstract": "This study investigates hospital networks through the lens of federated learning for privacy-preserving analytics in hospital networks. We adopt a quasi-experimental design drawing on 4,344 participants collected between 2020 and 2022, and apply federated averaging with secure aggregation to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach comparable accuracy to centralized training (Δ < 1.5%), with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in hospital networks. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1302" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1302", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "7", "start_page": "36", "end_page": "52", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "federated learning", "privacy", "distributed systems", "differential privacy", "edge computing" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Corporate Social Responsibility and Financial Performance: A Longitudinal Study (2022)", "author": [ { "name": "Dr. Diego Acosta", "affiliation": "University of Buenos Aires" }, { "name": "Dr. Ahmet Doğan", "affiliation": "Bilkent University" } ], "abstract": "This study investigates publicly listed firms in emerging markets through the lens of corporate social responsibility and financial performance. We adopt a sequential explanatory design drawing on 823 instances collected between 2020 and 2022, and apply fixed-effects panel regression on 600 firm-years to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach CSR-score top-quartile firms outperform by 4.2% ROA, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in publicly listed firms in emerging markets. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1303" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1303", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "7", "start_page": "53", "end_page": "70", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "CSR", "financial performance", "sustainability", "ESG", "stakeholder theory" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Biodiversity Conservation in Tropical Forest Ecosystems: A Cross-Sectoral Study (2022)", "author": [ { "name": "Dr. Nora Frei", "affiliation": "EPFL" }, { "name": "Dr. Olumide Adeyemi", "affiliation": "Ahmadu Bello University" } ], "abstract": "This study investigates Amazonian and Congo basin reserves through the lens of biodiversity conservation in tropical forest ecosystems. We adopt a comparative case-study approach drawing on 584 observations collected between 2020 and 2022, and apply camera-trap and acoustic survey across 38 plots to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach species richness 27% higher in community-managed plots, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in Amazonian and Congo basin reserves. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1304" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1304", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "7", "start_page": "71", "end_page": "88", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "biodiversity", "tropical forests", "conservation", "ecology", "ecosystems" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Pharmacological Innovations in Treatment of Antibiotic-Resistant Infections: A Cross-Sectoral Study (2022)", "author": [ { "name": "Dr. Magnus Sandberg", "affiliation": "Lund University" }, { "name": "Dr. Dewi Lestari", "affiliation": "Gadjah Mada University" } ], "abstract": "This study investigates carbapenem-resistant Enterobacterales through the lens of pharmacological innovations in treatment of antibiotic-resistant infections. We adopt a quasi-experimental design drawing on 3,792 experimental units collected between 2020 and 2022, and apply in-vitro screening of 1,200 compound candidates to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach two lead compounds with MIC ≤ 1 µg/mL, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in carbapenem-resistant Enterobacterales. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1305" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1305", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "7", "start_page": "89", "end_page": "105", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "antibiotics", "drug resistance", "pharmacology", "infectious disease", "novel therapeutics" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Additive Manufacturing of Lightweight Aerospace Components: A Multinational Study (2022)", "author": [ { "name": "Dr. Bongani Mthembu", "affiliation": "University of the Witwatersrand" }, { "name": "Dr. Si Ying Ong", "affiliation": "Singapore Management University" } ], "abstract": "This study investigates titanium bracket geometries through the lens of additive manufacturing of lightweight aerospace components. We adopt a longitudinal cohort study drawing on 1,661 participants collected between 2020 and 2022, and apply selective laser melting with topology-optimized lattice infills to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 37% mass reduction with equivalent stiffness, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in titanium bracket geometries. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1306" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1306", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "7", "start_page": "106", "end_page": "121", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "additive manufacturing", "3D printing", "aerospace", "lightweight structures", "topology optimization" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Teacher Professional Development and Student Achievement: A Cross-Sectoral Study (2022)", "author": [ { "name": "Dr. Edward Holloway", "affiliation": "University of Manchester" }, { "name": "Dr. Nicolas Lefèvre", "affiliation": "École Polytechnique" } ], "abstract": "This study investigates literacy instruction in primary grades through the lens of teacher professional development and student achievement. We adopt a mixed-methods design drawing on 3,677 facilities collected between 2020 and 2022, and apply quasi-experimental design with propensity matching to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach reading-fluency gains of 0.31 SD, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in literacy instruction in primary grades. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1307" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1307", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "7", "start_page": "122", "end_page": "138", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "teacher development", "professional learning", "student achievement", "pedagogy", "education policy" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Urban Migration Patterns and Community Integration: A Comprehensive Study (2022)", "author": [ { "name": "Dr. Harrison Whitlock", "affiliation": "University of New South Wales" }, { "name": "Dr. Klaus Neumann", "affiliation": "Heidelberg University" } ], "abstract": "This study investigates secondary-city migration corridors through the lens of urban migration patterns and community integration. We adopt a sequential explanatory design drawing on 2,916 subjects collected between 2020 and 2022, and apply longitudinal panel of 4,500 households to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach integration-index gains of 19% with formal-housing access, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in secondary-city migration corridors. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1308" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1308", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "7", "start_page": "139", "end_page": "154", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "urban migration", "community integration", "sociology", "demographics", "social cohesion" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Telemedicine Adoption in Rural Communities: Barriers and Enablers: A Longitudinal Study (2022)", "author": [ { "name": "Prof. Rachel Scott", "affiliation": "Carnegie Mellon University" }, { "name": "Prof. Achieng Otieno", "affiliation": "Strathmore University" } ], "abstract": "This study investigates primary-care clinics in low-density regions through the lens of telemedicine adoption in rural communities: barriers and enablers. We adopt a comparative case-study approach drawing on 2,867 instances collected between 2020 and 2022, and apply mixed-methods evaluation across 24 clinics to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach consultation volumes rose 3.1× over 12 months, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in primary-care clinics in low-density regions. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1309" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1309", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "7", "start_page": "155", "end_page": "171", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "telemedicine", "rural health", "digital health", "healthcare access", "adoption" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Precision Medicine Approaches in Cancer Treatment: A Multinational Study (2022)", "author": [ { "name": "Dr. Matthias Keller", "affiliation": "EPFL" }, { "name": "Prof. Sophie Beresford", "affiliation": "London School of Economics" } ], "abstract": "This study investigates metastatic colorectal cohorts through the lens of precision medicine approaches in cancer treatment. We adopt a prospective observational study drawing on 1,571 experimental units collected between 2020 and 2022, and apply tumor-mutational profiling with matched-therapy assignment to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach median progression-free survival extended by 4.7 months, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in metastatic colorectal cohorts. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1310" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1310", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "8", "start_page": "1", "end_page": "18", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "precision medicine", "oncology", "genomics", "targeted therapy", "biomarkers" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Automated Code Generation Using Sequence-to-Sequence Models: A Cross-Sectoral Study (2022)", "author": [ { "name": "Dr. Sophie Brunner", "affiliation": "University of Zurich" }, { "name": "Prof. Sofia Galli", "affiliation": "Sapienza University of Rome" } ], "abstract": "This study investigates Python utility functions through the lens of automated code generation using sequence-to-sequence models. We adopt a longitudinal cohort study drawing on 3,356 cases collected between 2020 and 2022, and apply encoder-decoder transformer fine-tuned on GitHub corpora to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach pass@1 of 41% on a curated benchmark, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in Python utility functions. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1311" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1311", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "8", "start_page": "19", "end_page": "34", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "code generation", "program synthesis", "sequence models", "software engineering", "language models" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Supply Chain Resilience in the Face of Global Disruptions: A Comprehensive Study (2022)", "author": [ { "name": "Prof. Rahul Sharma", "affiliation": "Indian Institute of Science" }, { "name": "Dr. Yuki Kobayashi", "affiliation": "Waseda University" } ], "abstract": "This study investigates consumer-electronics supply networks through the lens of supply chain resilience in the face of global disruptions. We adopt a randomized controlled trial drawing on 2,392 cases collected between 2020 and 2022, and apply structural-equation modeling on 412 firm responses to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach supplier diversification effect size β = 0.41, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in consumer-electronics supply networks. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1312" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1312", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "8", "start_page": "35", "end_page": "50", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "supply chain", "resilience", "risk management", "global trade", "disruption" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Public Health Interventions for Infectious Disease Control: A Comparative Study (2022)", "author": [ { "name": "Prof. Felix Neumann", "affiliation": "University of Bonn" }, { "name": "Dr. Sofia Esposito", "affiliation": "University of Padua" } ], "abstract": "This study investigates regional measles outbreaks through the lens of public health interventions for infectious disease control. We adopt a randomized controlled trial drawing on 2,941 experimental units collected between 2020 and 2022, and apply compartmental modeling with vaccination scenarios to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach outbreak duration shortened by 38% under ring vaccination, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in regional measles outbreaks. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1313" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1313", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "8", "start_page": "51", "end_page": "68", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "public health", "infectious disease", "epidemiology", "vaccination", "surveillance" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Effects of Income Inequality on Health and Wellbeing: A Comparative Study (2022)", "author": [ { "name": "Dr. Tomasz Zieliński", "affiliation": "Jagiellonian University" }, { "name": "Dr. Nicolas Marchand", "affiliation": "Sorbonne Université" } ], "abstract": "This study investigates OECD member economies through the lens of effects of income inequality on health and wellbeing. We adopt a sequential explanatory design drawing on 2,939 participants collected between 2020 and 2022, and apply panel regression with country fixed effects to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 1-point Gini increase associated with 0.7% drop in self-rated health, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in OECD member economies. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1314" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1314", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "8", "start_page": "69", "end_page": "85", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "income inequality", "health", "wellbeing", "social determinants", "public policy" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Deep Learning for Image Classification in Medical Imaging Applications: A Comprehensive Study (2022)", "author": [ { "name": "Dr. Julien Beaumont", "affiliation": "INSEAD" }, { "name": "Dr. Eoin O'Sullivan", "affiliation": "NUI Galway" } ], "abstract": "This study investigates medical imaging through the lens of deep learning for image classification in medical imaging. We adopt a mixed-methods design drawing on 2,513 facilities collected between 2020 and 2022, and apply convolutional neural network ensemble to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 94.6% top-1 accuracy on a held-out test set, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in medical imaging. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1315" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1315", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "8", "start_page": "86", "end_page": "100", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "deep learning", "image classification", "convolutional networks", "feature extraction", "computer vision" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Corporate Governance and Regulatory Compliance in Emerging Markets: A Comprehensive Study (2022)", "author": [ { "name": "Dr. Wanjiku Wekesa", "affiliation": "University of Nairobi" }, { "name": "Prof. Eun-ji Lee", "affiliation": "Yonsei University" } ], "abstract": "This study investigates listed firms in Latin America and Southeast Asia through the lens of corporate governance and regulatory compliance in emerging markets. We adopt a randomized controlled trial drawing on 2,805 cases collected between 2020 and 2022, and apply panel analysis of governance-quality scores to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach compliance-rating upgrades raise market valuation by 6.1%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in listed firms in Latin America and Southeast Asia. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1316" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1316", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "8", "start_page": "101", "end_page": "116", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "corporate governance", "compliance", "emerging markets", "regulation", "accountability" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Gamification in K-12 Classrooms: Engagement and Learning Outcomes: A Longitudinal Study (2022)", "author": [ { "name": "Prof. Otieno Wekesa", "affiliation": "Kenyatta University" }, { "name": "Dr. Kari Johansen", "affiliation": "University of Bergen" } ], "abstract": "This study investigates middle-school mathematics through the lens of gamification in k-12 classrooms: engagement and learning outcomes. We adopt a quasi-experimental design drawing on 2,702 instances collected between 2020 and 2022, and apply randomized trial across 36 classrooms to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach achievement gains of 14% on standardized assessments, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in middle-school mathematics. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1317" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1317", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "8", "start_page": "117", "end_page": "134", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "gamification", "K-12", "engagement", "learning outcomes", "educational games" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Graph Neural Networks for Knowledge Graph Completion: A Comparative Study (2022)", "author": [ { "name": "Dr. Owen Ferguson", "affiliation": "University of Waterloo" }, { "name": "Dr. Suresh Bhatt", "affiliation": "Indian Institute of Science" } ], "abstract": "This study investigates biomedical knowledge graphs through the lens of graph neural networks for knowledge graph completion. We adopt a systematic review and meta-analysis drawing on 1,260 experimental units collected between 2020 and 2022, and apply relational graph convolutional network to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach MRR of 0.612 on FB15k-237, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in biomedical knowledge graphs. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1318" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1318", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "8", "start_page": "135", "end_page": "152", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "graph neural networks", "knowledge graphs", "representation learning", "link prediction", "embeddings" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Data Protection and Privacy Regulation in the Era of Big Data: A Comprehensive Study (2022)", "author": [ { "name": "Dr. Xin Zhou", "affiliation": "Shanghai Jiao Tong University" }, { "name": "Dr. Connor Ferguson", "affiliation": "University of British Columbia" } ], "abstract": "This study investigates cross-border personal-data flows through the lens of data protection and privacy regulation in the era of big data. We adopt a randomized controlled trial drawing on 2,154 observations collected between 2020 and 2022, and apply comparative legal analysis across 12 jurisdictions to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach convergence on three regulatory archetypes, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in cross-border personal-data flows. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1319" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1319", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "8", "start_page": "153", "end_page": "170", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "data protection", "privacy", "GDPR", "big data", "regulation" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Soil Health Indicators for Sustainable Land Management: A Comparative Study (2022)", "author": [ { "name": "Dr. Cian Walsh", "affiliation": "NUI Galway" }, { "name": "Dr. Ryan Larocque", "affiliation": "University of Waterloo" } ], "abstract": "This study investigates temperate cropping systems through the lens of soil health indicators for sustainable land management. We adopt a prospective observational study drawing on 1,422 facilities collected between 2020 and 2022, and apply multi-year sampling with biological-physical-chemical battery to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach minimum dataset of 9 indicators validated, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in temperate cropping systems. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1320" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1320", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "9", "start_page": "1", "end_page": "15", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "soil health", "land management", "agriculture", "ecosystems", "sustainability" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Renewable Energy Policy and the Just Transition: A Cross-Sectoral Study (2022)", "author": [ { "name": "Dr. Omar Khalil", "affiliation": "American University in Cairo" }, { "name": "Dr. Chiara Romano", "affiliation": "University of Padua" } ], "abstract": "This study investigates coal-dependent regional economies through the lens of renewable energy policy and the just transition. We adopt a longitudinal cohort study drawing on 2,577 instances collected between 2020 and 2022, and apply policy-scenario modeling with stakeholder workshops to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach identification of 7 transition-readiness indicators, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in coal-dependent regional economies. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1321" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1321", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "9", "start_page": "16", "end_page": "30", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "renewable energy", "policy", "just transition", "sustainability", "equity" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Hydrogen Fuel Cell Performance Optimization for Heavy-Duty Transport: A Comprehensive Study (2022)", "author": [ { "name": "Dr. Hao Zhou", "affiliation": "Nanjing University" }, { "name": "Dr. Zeynep Aydın", "affiliation": "Istanbul Technical University" } ], "abstract": "This study investigates long-haul truck powertrains through the lens of hydrogen fuel cell performance optimization for heavy-duty transport. We adopt a sequential explanatory design drawing on 3,425 records collected between 2020 and 2022, and apply membrane-electrode assembly redesign with thermal control to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach stack efficiency raised to 58%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in long-haul truck powertrains. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1322" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1322", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "9", "start_page": "31", "end_page": "46", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "hydrogen", "fuel cells", "heavy-duty transport", "clean energy", "efficiency" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Precision Medicine Approaches in Cancer Treatment: A Comparative Study (2022)", "author": [ { "name": "Dr. Francesca Conti", "affiliation": "University of Bologna" }, { "name": "Dr. Putri Hartono", "affiliation": "Bandung Institute of Technology" } ], "abstract": "This study investigates metastatic colorectal cohorts through the lens of precision medicine approaches in cancer treatment. We adopt a sequential explanatory design drawing on 2,584 experimental units collected between 2020 and 2022, and apply tumor-mutational profiling with matched-therapy assignment to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach median progression-free survival extended by 4.7 months, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in metastatic colorectal cohorts. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1323" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1323", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "9", "start_page": "47", "end_page": "62", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "precision medicine", "oncology", "genomics", "targeted therapy", "biomarkers" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Behavioral Economics of Decision Making Under Uncertainty: A Comparative Study (2022)", "author": [ { "name": "Dr. Maha Al-Rashid", "affiliation": "King Abdullah University of Science and Technology" }, { "name": "Dr. Mariana Ribeiro", "affiliation": "Federal University of Rio de Janeiro" } ], "abstract": "This study investigates household financial decisions through the lens of behavioral economics of decision making under uncertainty. We adopt a quasi-experimental design drawing on 2,367 observations collected between 2020 and 2022, and apply incentivized lab and field experiments (n = 2,100) to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach loss-aversion coefficient estimated at 2.13, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in household financial decisions. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1324" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1324", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "9", "start_page": "63", "end_page": "79", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "behavioral economics", "decision making", "uncertainty", "heuristics", "experiments" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Plastic Pollution in Marine Ecosystems: Sources and Mitigation: A Comprehensive Study (2022)", "author": [ { "name": "Dr. Elif Aydın", "affiliation": "Bilkent University" }, { "name": "Dr. Saud Al-Dosari", "affiliation": "King Abdullah University of Science and Technology" } ], "abstract": "This study investigates coastal and pelagic waters through the lens of plastic pollution in marine ecosystems: sources and mitigation. We adopt a comparative case-study approach drawing on 3,522 records collected between 2020 and 2022, and apply isotopic source apportionment of 1,500 samples to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach fishing-gear sources account for 28% of pelagic plastic mass, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in coastal and pelagic waters. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1325" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1325", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "9", "start_page": "80", "end_page": "97", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "plastic pollution", "marine ecosystems", "microplastics", "mitigation", "oceanography" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Automated Code Generation Using Sequence-to-Sequence Models: A Longitudinal Study (2022)", "author": [ { "name": "Dr. Kari Hansen", "affiliation": "University of Bergen" }, { "name": "Dr. Eitan Goldstein", "affiliation": "Hebrew University of Jerusalem" } ], "abstract": "This study investigates Python utility functions through the lens of automated code generation using sequence-to-sequence models. We adopt a comparative case-study approach drawing on 1,058 observations collected between 2020 and 2022, and apply encoder-decoder transformer fine-tuned on GitHub corpora to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach pass@1 of 41% on a curated benchmark, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in Python utility functions. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1326" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1326", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "9", "start_page": "98", "end_page": "113", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "code generation", "program synthesis", "sequence models", "software engineering", "language models" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Antitrust Law in the Age of Digital Platforms: A Cross-Sectoral Study (2022)", "author": [ { "name": "Dr. Dewi Lestari", "affiliation": "Gadjah Mada University" }, { "name": "Dr. Jun Hao Ong", "affiliation": "Nanyang Technological University" } ], "abstract": "This study investigates two-sided digital marketplaces through the lens of antitrust law in the age of digital platforms. We adopt a systematic review and meta-analysis drawing on 4,122 experimental units collected between 2020 and 2022, and apply economic-modeling-informed legal analysis to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach proposal of three new theories of harm, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in two-sided digital marketplaces. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1327" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1327", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "9", "start_page": "114", "end_page": "130", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "antitrust", "competition law", "digital platforms", "monopoly", "regulation" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Gender Inequality in the Workplace: A Cross-National Comparison: A Empirical Study (2022)", "author": [ { "name": "Prof. Rohit Rao", "affiliation": "Indian Institute of Technology Delhi" }, { "name": "Prof. Xin Xu", "affiliation": "Nanjing University" } ], "abstract": "This study investigates white-collar employment in 14 countries through the lens of gender inequality in the workplace: a cross-national comparison. We adopt a randomized controlled trial drawing on 3,500 cases collected between 2020 and 2022, and apply decomposition analysis of wage gaps to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach unexplained-gap component averages 9.4%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in white-collar employment in 14 countries. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1328" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1328", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "9", "start_page": "131", "end_page": "146", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "gender inequality", "workplace", "cross-national", "sociology", "labor" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Graph Neural Networks for Knowledge Graph Completion: A Multinational Study (2022)", "author": [ { "name": "Dr. Francesca Conti", "affiliation": "University of Padua" }, { "name": "Dr. Lucía Ramírez", "affiliation": "Autonomous University of Madrid" } ], "abstract": "This study investigates biomedical knowledge graphs through the lens of graph neural networks for knowledge graph completion. We adopt a prospective observational study drawing on 1,568 records collected between 2020 and 2022, and apply relational graph convolutional network to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach MRR of 0.612 on FB15k-237, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in biomedical knowledge graphs. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1329" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1329", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "9", "start_page": "147", "end_page": "164", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "graph neural networks", "knowledge graphs", "representation learning", "link prediction", "embeddings" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Trust in Institutions in the Digital Age: A Multinational Study (2022)", "author": [ { "name": "Prof. Magdalena Kamiński", "affiliation": "University of Warsaw" }, { "name": "Dr. Carlos Aguilar", "affiliation": "Tecnológico de Monterrey" } ], "abstract": "This study investigates European public-opinion surveys through the lens of trust in institutions in the digital age. We adopt a comparative case-study approach drawing on 3,436 observations collected between 2020 and 2022, and apply multilevel modeling across 24 countries to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach platform-news consumption explains 9% of trust variance, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in European public-opinion surveys. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1330" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1330", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "10", "start_page": "1", "end_page": "18", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "institutional trust", "digital media", "political science", "public opinion", "democracy" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Intellectual Property Rights in Biotechnology and Genetic Research: A Multinational Study (2022)", "author": [ { "name": "Dr. Ethan Ashford", "affiliation": "University of New South Wales" }, { "name": "Prof. Lukas Keller", "affiliation": "University of Zurich" } ], "abstract": "This study investigates CRISPR-related patent landscapes through the lens of intellectual property rights in biotechnology and genetic research. We adopt a mixed-methods design drawing on 1,610 observations collected between 2020 and 2022, and apply patent-landscape analytics on 4,200 filings to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach ownership-concentration index Herfindahl 0.31, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in CRISPR-related patent landscapes. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1331" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1331", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "10", "start_page": "19", "end_page": "35", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "intellectual property", "biotechnology", "genetic research", "patents", "innovation" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Climate Change Adaptation Strategies for Coastal Cities: A Comparative Study (2022)", "author": [ { "name": "Dr. Neha Patel", "affiliation": "Tata Institute of Fundamental Research" }, { "name": "Dr. Zeynep Aydın", "affiliation": "Bogaziçi University" } ], "abstract": "This study investigates mid-size coastal municipalities through the lens of climate change adaptation strategies for coastal cities. We adopt a sequential explanatory design drawing on 3,516 cases collected between 2020 and 2022, and apply vulnerability-index modeling with adaptation-pathway design to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach prioritized 12 high-leverage adaptation actions, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in mid-size coastal municipalities. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1332" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1332", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "10", "start_page": "36", "end_page": "52", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "climate adaptation", "coastal cities", "sea level rise", "resilience", "urban planning" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Natural Language Processing Techniques for Low-Resource Language Translation: A Comprehensive Study (2022)", "author": [ { "name": "Dr. Sven Kristiansen", "affiliation": "University of Oslo" }, { "name": "Dr. Connor McKenzie", "affiliation": "University of British Columbia" } ], "abstract": "This study investigates African and South Asian languages through the lens of natural language processing techniques for low-resource language translation. We adopt a mixed-methods design drawing on 1,113 records collected between 2020 and 2022, and apply transformer with cross-lingual transfer to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach +6.4 BLEU over the baseline, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in African and South Asian languages. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1333" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1333", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "10", "start_page": "53", "end_page": "69", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "NLP", "low-resource languages", "machine translation", "transfer learning", "multilingual models" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Container Orchestration at Scale: Performance Benchmarks for Cloud-Native Workloads: A Longitudinal Study (2022)", "author": [ { "name": "Dr. Yong Kai Tan", "affiliation": "Nanyang Technological University" }, { "name": "Prof. Edward Pemberton", "affiliation": "Imperial College London" } ], "abstract": "This study investigates multi-tenant clusters through the lens of container orchestration at scale: performance benchmarks for cloud-native workloads. We adopt a longitudinal cohort study drawing on 1,827 records collected between 2020 and 2022, and apply controlled benchmark with synthetic and production traces to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach scheduler throughput of 1,800 pods/min on a 500-node cluster, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in multi-tenant clusters. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1334" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1334", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "10", "start_page": "70", "end_page": "84", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "containers", "Kubernetes", "cloud-native", "performance", "scalability" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Precision Medicine Approaches in Cancer Treatment: A Empirical Study (2022)", "author": [ { "name": "Dr. Iris de Vries", "affiliation": "Delft University of Technology" }, { "name": "Prof. Liv Pedersen", "affiliation": "Norwegian Polar Institute" } ], "abstract": "This study investigates metastatic colorectal cohorts through the lens of precision medicine approaches in cancer treatment. We adopt a mixed-methods design drawing on 2,255 cases collected between 2020 and 2022, and apply tumor-mutational profiling with matched-therapy assignment to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach median progression-free survival extended by 4.7 months, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in metastatic colorectal cohorts. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1335" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1335", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "10", "start_page": "85", "end_page": "101", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "precision medicine", "oncology", "genomics", "targeted therapy", "biomarkers" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Digital Divide and Access to Public Services in Rural Areas: A Comprehensive Study (2022)", "author": [ { "name": "Dr. Gabriel Costa", "affiliation": "University of Campinas" }, { "name": "Dr. Mariko Takahashi", "affiliation": "Tokyo Institute of Technology" } ], "abstract": "This study investigates e-government rollout in low-bandwidth regions through the lens of digital divide and access to public services in rural areas. We adopt a longitudinal cohort study drawing on 1,881 facilities collected between 2020 and 2022, and apply geo-spatial analysis combined with citizen surveys to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach service-uptake gap of 34 percentage points vs. urban areas, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in e-government rollout in low-bandwidth regions. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1336" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1336", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "10", "start_page": "102", "end_page": "117", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "digital divide", "rural access", "public services", "ICT", "equity" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Telemedicine Adoption in Rural Communities: Barriers and Enablers: A Cross-Sectoral Study (2022)", "author": [ { "name": "Dr. Emily Thompson", "affiliation": "Stanford University" }, { "name": "Dr. Marie Wagner", "affiliation": "Heidelberg University" } ], "abstract": "This study investigates primary-care clinics in low-density regions through the lens of telemedicine adoption in rural communities: barriers and enablers. We adopt a prospective observational study drawing on 566 records collected between 2020 and 2022, and apply mixed-methods evaluation across 24 clinics to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach consultation volumes rose 3.1× over 12 months, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in primary-care clinics in low-density regions. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1337" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1337", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "10", "start_page": "118", "end_page": "135", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "telemedicine", "rural health", "digital health", "healthcare access", "adoption" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Gender Inequality in the Workplace: A Cross-National Comparison: A Longitudinal Study (2022)", "author": [ { "name": "Dr. Min-jun Jung", "affiliation": "POSTECH" }, { "name": "Dr. Henrik Andersen", "affiliation": "University of Oslo" } ], "abstract": "This study investigates white-collar employment in 14 countries through the lens of gender inequality in the workplace: a cross-national comparison. We adopt a randomized controlled trial drawing on 1,952 cases collected between 2020 and 2022, and apply decomposition analysis of wage gaps to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach unexplained-gap component averages 9.4%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in white-collar employment in 14 countries. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1338" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1338", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "10", "start_page": "136", "end_page": "152", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "gender inequality", "workplace", "cross-national", "sociology", "labor" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Robotic Process Automation in Manufacturing Quality Control: A Comprehensive Study (2022)", "author": [ { "name": "Dr. Lerato van Wyk", "affiliation": "University of the Witwatersrand" }, { "name": "Dr. Jan de Vries", "affiliation": "Leiden University" } ], "abstract": "This study investigates automotive assembly lines through the lens of robotic process automation in manufacturing quality control. We adopt a systematic review and meta-analysis drawing on 3,451 observations collected between 2020 and 2022, and apply vision-guided cobot inspection cells to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach defect-escape rate reduced by 64%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in automotive assembly lines. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1339" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1339", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "10", "start_page": "153", "end_page": "169", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "robotics", "manufacturing", "quality control", "automation", "industry 4.0" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Aging Populations and the Future of Social Welfare Systems: A Comparative Study (2022)", "author": [ { "name": "Dr. Neha Banerjee", "affiliation": "Indian Institute of Science" }, { "name": "Dr. Lars Olsen", "affiliation": "University of Bergen" } ], "abstract": "This study investigates OECD pension systems through the lens of aging populations and the future of social welfare systems. We adopt a randomized controlled trial drawing on 1,183 subjects collected between 2020 and 2022, and apply actuarial micro-simulation with policy scenarios to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach old-age dependency burden grows by 38% by 2040 under status quo, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in OECD pension systems. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1340" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1340", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "11", "start_page": "1", "end_page": "15", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "aging", "social welfare", "demographics", "public policy", "pensions" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Anomaly Detection in Cybersecurity Using Unsupervised Learning: A Comparative Study (2022)", "author": [ { "name": "Dr. Ciara O'Brien", "affiliation": "Trinity College Dublin" }, { "name": "Prof. Chloe Sutherland", "affiliation": "University of Queensland" } ], "abstract": "This study investigates enterprise network traffic through the lens of anomaly detection in cybersecurity using unsupervised learning. We adopt a prospective observational study drawing on 4,247 subjects collected between 2020 and 2022, and apply variational autoencoder with reconstruction-error scoring to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach ROC-AUC of 0.948 on the CICIDS dataset, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in enterprise network traffic. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1341" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1341", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "11", "start_page": "16", "end_page": "33", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "cybersecurity", "anomaly detection", "unsupervised learning", "autoencoders", "intrusion detection" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Deep Learning for Image Classification in Medical Imaging Applications: A Comparative Study (2022)", "author": [ { "name": "Dr. Agus Lestari", "affiliation": "Gadjah Mada University" }, { "name": "Dr. Miguel Mendoza", "affiliation": "CINVESTAV" } ], "abstract": "This study investigates medical imaging through the lens of deep learning for image classification in medical imaging. We adopt a quasi-experimental design drawing on 2,791 records collected between 2020 and 2022, and apply convolutional neural network ensemble to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 94.6% top-1 accuracy on a held-out test set, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in medical imaging. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1342" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1342", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "11", "start_page": "34", "end_page": "50", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "deep learning", "image classification", "convolutional networks", "feature extraction", "computer vision" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Structural Health Monitoring of Bridges Using Wireless Sensor Networks: A Cross-Sectoral Study (2022)", "author": [ { "name": "Dr. Marek Lewandowski", "affiliation": "AGH University" }, { "name": "Dr. Emeka Eze", "affiliation": "Ahmadu Bello University" } ], "abstract": "This study investigates highway bridge spans through the lens of structural health monitoring of bridges using wireless sensor networks. We adopt a sequential explanatory design drawing on 2,301 cases collected between 2020 and 2022, and apply MEMS-accelerometer mesh with modal-parameter extraction to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach early-warning detection of 3-mm crack growth events, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in highway bridge spans. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1343" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1343", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "11", "start_page": "51", "end_page": "66", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "structural health monitoring", "wireless sensors", "bridges", "civil engineering", "vibration analysis" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Climate Change Adaptation Strategies for Coastal Cities: A Multinational Study (2022)", "author": [ { "name": "Dr. Yong Kai Wong", "affiliation": "National University of Singapore" }, { "name": "Dr. Omar Nasser", "affiliation": "American University in Cairo" } ], "abstract": "This study investigates mid-size coastal municipalities through the lens of climate change adaptation strategies for coastal cities. We adopt a comparative case-study approach drawing on 3,062 records collected between 2020 and 2022, and apply vulnerability-index modeling with adaptation-pathway design to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach prioritized 12 high-leverage adaptation actions, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in mid-size coastal municipalities. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1344" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1344", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "11", "start_page": "67", "end_page": "81", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "climate adaptation", "coastal cities", "sea level rise", "resilience", "urban planning" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Gender Inequality in the Workplace: A Cross-National Comparison: A Multinational Study (2022)", "author": [ { "name": "Dr. Mia Sutherland", "affiliation": "University of New South Wales" }, { "name": "Dr. Wei Yang", "affiliation": "Fudan University" } ], "abstract": "This study investigates white-collar employment in 14 countries through the lens of gender inequality in the workplace: a cross-national comparison. We adopt a mixed-methods design drawing on 2,084 cases collected between 2020 and 2022, and apply decomposition analysis of wage gaps to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach unexplained-gap component averages 9.4%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in white-collar employment in 14 countries. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1345" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1345", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "11", "start_page": "82", "end_page": "98", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "gender inequality", "workplace", "cross-national", "sociology", "labor" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Federated Learning for Privacy-Preserving Analytics in Hospital networks: A Comprehensive Study (2022)", "author": [ { "name": "Prof. Henrik Nilsen", "affiliation": "Norwegian University of Science and Technology" }, { "name": "Prof. Ricardo Castillo", "affiliation": "Tecnológico de Monterrey" } ], "abstract": "This study investigates hospital networks through the lens of federated learning for privacy-preserving analytics in hospital networks. We adopt a mixed-methods design drawing on 767 observations collected between 2020 and 2022, and apply federated averaging with secure aggregation to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach comparable accuracy to centralized training (Δ < 1.5%), with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in hospital networks. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1346" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1346", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "11", "start_page": "99", "end_page": "116", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "federated learning", "privacy", "distributed systems", "differential privacy", "edge computing" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Hydrogen Fuel Cell Performance Optimization for Heavy-Duty Transport: A Cross-Sectoral Study (2022)", "author": [ { "name": "Prof. Gabriel Rodrigues", "affiliation": "University of São Paulo" }, { "name": "Dr. Valentina Fernández", "affiliation": "Universidad Austral" } ], "abstract": "This study investigates long-haul truck powertrains through the lens of hydrogen fuel cell performance optimization for heavy-duty transport. We adopt a quasi-experimental design drawing on 1,548 observations collected between 2020 and 2022, and apply membrane-electrode assembly redesign with thermal control to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach stack efficiency raised to 58%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in long-haul truck powertrains. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1347" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1347", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "11", "start_page": "117", "end_page": "133", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "hydrogen", "fuel cells", "heavy-duty transport", "clean energy", "efficiency" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Assessment Reform: Authentic Assessment in Higher Education: A Cross-Sectoral Study (2022)", "author": [ { "name": "Dr. Abdullah Al-Rashid", "affiliation": "King Fahd University of Petroleum and Minerals" }, { "name": "Dr. Sakura Kobayashi", "affiliation": "Waseda University" } ], "abstract": "This study investigates professional graduate programs through the lens of assessment reform: authentic assessment in higher education. We adopt a quasi-experimental design drawing on 2,437 instances collected between 2020 and 2022, and apply design-based research over four iterations to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach student-perceived learning gains improved by 0.47 SD, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in professional graduate programs. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1348" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1348", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "11", "start_page": "134", "end_page": "150", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "assessment", "authentic assessment", "higher education", "evaluation", "competencies" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Intellectual Property Rights in Biotechnology and Genetic Research: A Empirical Study (2022)", "author": [ { "name": "Dr. Sven Olsen", "affiliation": "University of Bergen" }, { "name": "Dr. Wambui Otieno", "affiliation": "University of Nairobi" } ], "abstract": "This study investigates CRISPR-related patent landscapes through the lens of intellectual property rights in biotechnology and genetic research. We adopt a systematic review and meta-analysis drawing on 953 observations collected between 2020 and 2022, and apply patent-landscape analytics on 4,200 filings to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach ownership-concentration index Herfindahl 0.31, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in CRISPR-related patent landscapes. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1349" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1349", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "11", "start_page": "151", "end_page": "165", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "intellectual property", "biotechnology", "genetic research", "patents", "innovation" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Autonomous Vehicle Perception Systems Using Multi-Sensor Fusion: A Cross-Sectoral Study (2022)", "author": [ { "name": "Dr. Giulia Ferrari", "affiliation": "University of Bologna" }, { "name": "Dr. Ryo Sato", "affiliation": "Hokkaido University" } ], "abstract": "This study investigates urban driving scenarios through the lens of autonomous vehicle perception systems using multi-sensor fusion. We adopt a sequential explanatory design drawing on 3,413 records collected between 2020 and 2022, and apply Kalman-filter fusion of LiDAR, camera, and radar streams to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach object-detection mAP of 0.87 across 12 weather conditions, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in urban driving scenarios. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1350" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1350", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "12", "start_page": "1", "end_page": "18", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "autonomous vehicles", "sensor fusion", "LiDAR", "perception", "robotics" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Natural Language Processing Techniques for Low-Resource Language Translation: A Longitudinal Study (2022)", "author": [ { "name": "Dr. Sipho Mthembu", "affiliation": "Stellenbosch University" }, { "name": "Prof. Francesca Russo", "affiliation": "Politecnico di Milano" } ], "abstract": "This study investigates African and South Asian languages through the lens of natural language processing techniques for low-resource language translation. We adopt a randomized controlled trial drawing on 4,447 cases collected between 2020 and 2022, and apply transformer with cross-lingual transfer to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach +6.4 BLEU over the baseline, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in African and South Asian languages. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1351" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1351", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "12", "start_page": "19", "end_page": "36", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "NLP", "low-resource languages", "machine translation", "transfer learning", "multilingual models" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Climate Change Adaptation Strategies for Coastal Cities: A Longitudinal Study (2022)", "author": [ { "name": "Dr. Madison MacDonald", "affiliation": "McMaster University" }, { "name": "Dr. Seung-hyun Cho", "affiliation": "Hanyang University" } ], "abstract": "This study investigates mid-size coastal municipalities through the lens of climate change adaptation strategies for coastal cities. We adopt a randomized controlled trial drawing on 3,061 experimental units collected between 2020 and 2022, and apply vulnerability-index modeling with adaptation-pathway design to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach prioritized 12 high-leverage adaptation actions, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in mid-size coastal municipalities. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1352" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1352", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "12", "start_page": "37", "end_page": "54", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "climate adaptation", "coastal cities", "sea level rise", "resilience", "urban planning" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Supply Chain Resilience in the Face of Global Disruptions: A Cross-Sectoral Study (2022)", "author": [ { "name": "Prof. Lucía Ramírez", "affiliation": "Autonomous University of Madrid" }, { "name": "Dr. Thandi Sithole", "affiliation": "University of Cape Town" } ], "abstract": "This study investigates consumer-electronics supply networks through the lens of supply chain resilience in the face of global disruptions. We adopt a comparative case-study approach drawing on 3,159 participants collected between 2020 and 2022, and apply structural-equation modeling on 412 firm responses to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach supplier diversification effect size β = 0.41, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in consumer-electronics supply networks. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1353" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1353", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "12", "start_page": "55", "end_page": "70", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "supply chain", "resilience", "risk management", "global trade", "disruption" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Maternal Health Outcomes in Low-Resource Settings: A Cross-Sectoral Study (2022)", "author": [ { "name": "Dr. Isabela Oliveira", "affiliation": "Federal University of Minas Gerais" }, { "name": "Dr. Yong Kai Chua", "affiliation": "Nanyang Technological University" } ], "abstract": "This study investigates rural districts in Sub-Saharan Africa through the lens of maternal health outcomes in low-resource settings. We adopt a comparative case-study approach drawing on 2,005 participants collected between 2020 and 2022, and apply stepped-wedge cluster trial across 18 facilities to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach obstetric-complication response time halved, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in rural districts in Sub-Saharan Africa. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1354" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1354", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "12", "start_page": "71", "end_page": "87", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "maternal health", "global health", "midwifery", "health systems", "equity" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Nutritional Interventions for Childhood Obesity Prevention: A Comparative Study (2022)", "author": [ { "name": "Dr. Julien Laurent", "affiliation": "Sorbonne Université" }, { "name": "Dr. Eoin Kelly", "affiliation": "University College Cork" } ], "abstract": "This study investigates school-meal redesign programs through the lens of nutritional interventions for childhood obesity prevention. We adopt a sequential explanatory design drawing on 1,434 facilities collected between 2020 and 2022, and apply cluster-randomized trial with 4,300 children to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach BMI z-score reduction of 0.18 over the study year, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in school-meal redesign programs. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1355" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1355", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "12", "start_page": "88", "end_page": "102", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "nutrition", "childhood obesity", "public health", "intervention", "BMI" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Recommender Systems Using Hybrid Collaborative and Content-Based Filtering: A Longitudinal Study (2022)", "author": [ { "name": "Dr. Eva Janssen", "affiliation": "University of Amsterdam" }, { "name": "Dr. Yossi Levi", "affiliation": "Weizmann Institute of Science" } ], "abstract": "This study investigates online education catalogs through the lens of recommender systems using hybrid collaborative and content-based filtering. We adopt a quasi-experimental design drawing on 3,731 facilities collected between 2020 and 2022, and apply neural collaborative filtering with content embeddings to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach NDCG@10 improvement of 18% over baseline, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in online education catalogs. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1356" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1356", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "12", "start_page": "103", "end_page": "117", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "recommender systems", "collaborative filtering", "content-based", "hybrid models", "personalization" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Urban Migration Patterns and Community Integration: A Empirical Study (2022)", "author": [ { "name": "Prof. Iris Bakker", "affiliation": "Leiden University" }, { "name": "Dr. Tae-woo Lim", "affiliation": "Hanyang University" } ], "abstract": "This study investigates secondary-city migration corridors through the lens of urban migration patterns and community integration. We adopt a randomized controlled trial drawing on 306 participants collected between 2020 and 2022, and apply longitudinal panel of 4,500 households to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach integration-index gains of 19% with formal-housing access, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in secondary-city migration corridors. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1357" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1357", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "12", "start_page": "118", "end_page": "134", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "urban migration", "community integration", "sociology", "demographics", "social cohesion" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Consumer Behavior in Omnichannel Retail Environments: A Comprehensive Study (2022)", "author": [ { "name": "Dr. Pei Shan Lim", "affiliation": "Singapore Management University" }, { "name": "Dr. Krzysztof Nowak", "affiliation": "Warsaw University of Technology" } ], "abstract": "This study investigates fashion and grocery retail through the lens of consumer behavior in omnichannel retail environments. We adopt a randomized controlled trial drawing on 3,270 facilities collected between 2020 and 2022, and apply mixed-methods survey of 1,800 shoppers to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach channel-switching intention reduced by 27% with unified loyalty, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in fashion and grocery retail. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1358" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1358", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "12", "start_page": "135", "end_page": "149", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "consumer behavior", "omnichannel", "retail", "customer experience", "marketing" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Water Resource Management Under Climate Variability: A Cross-Sectoral Study (2022)", "author": [ { "name": "Dr. Sven Larsen", "affiliation": "University of Bergen" }, { "name": "Dr. Conor Walsh", "affiliation": "University College Dublin" } ], "abstract": "This study investigates transboundary river basins through the lens of water resource management under climate variability. We adopt a comparative case-study approach drawing on 4,197 subjects collected between 2020 and 2022, and apply coupled hydrologic and decision-support modeling to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach cooperative-allocation strategies cut shortage events by 41%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in transboundary river basins. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2022", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1359" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1359", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "12", "start_page": "150", "end_page": "164", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "water resources", "climate variability", "hydrology", "drought", "management" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Customer Relationship Management Analytics for Service Industries: A Cross-Sectoral Study (2023)", "author": [ { "name": "Dr. Diego Quiroga", "affiliation": "National University of Córdoba" }, { "name": "Dr. Dewi Sari", "affiliation": "Bandung Institute of Technology" } ], "abstract": "This study investigates telecom subscriber bases through the lens of customer relationship management analytics for service industries. We adopt a longitudinal cohort study drawing on 3,087 participants collected between 2021 and 2023, and apply gradient-boosted churn modeling with uplift estimation to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach annual retention savings estimated at USD 12.4 million, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in telecom subscriber bases. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1360" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1360", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "1", "start_page": "1", "end_page": "16", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "CRM", "analytics", "customer retention", "service marketing", "churn" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Antitrust Law in the Age of Digital Platforms: A Multinational Study (2023)", "author": [ { "name": "Dr. Sophie Sinclair", "affiliation": "University of Edinburgh" }, { "name": "Dr. Alessandro Ferrari", "affiliation": "Sapienza University of Rome" } ], "abstract": "This study investigates two-sided digital marketplaces through the lens of antitrust law in the age of digital platforms. We adopt a systematic review and meta-analysis drawing on 1,732 participants collected between 2021 and 2023, and apply economic-modeling-informed legal analysis to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach proposal of three new theories of harm, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in two-sided digital marketplaces. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1361" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1361", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "1", "start_page": "17", "end_page": "33", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "antitrust", "competition law", "digital platforms", "monopoly", "regulation" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Social Media Influence on Political Discourse and Civic Engagement", "author": [ { "name": "Dr. Daniela Ramírez", "affiliation": "National Autonomous University of Mexico" }, { "name": "Prof. Joshua Carter", "affiliation": "Harvard University" } ], "abstract": "This study investigates national election cycles through the lens of social media influence on political discourse and civic engagement. We adopt a sequential explanatory design drawing on 4,202 participants collected between 2021 and 2023, and apply content analysis of 1.2 million social-media posts to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach polarization index correlated with platform-recommendation exposure (r = 0.43), with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in national election cycles. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1362" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1362", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "1", "start_page": "34", "end_page": "51", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "social media", "political discourse", "civic engagement", "public sphere", "communication" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Water Resource Management Under Climate Variability: A Empirical Study (2023)", "author": [ { "name": "Dr. Lena Bauer", "affiliation": "University of Bonn" }, { "name": "Dr. Kagiso Mokoena", "affiliation": "University of Pretoria" } ], "abstract": "This study investigates transboundary river basins through the lens of water resource management under climate variability. We adopt a prospective observational study drawing on 4,086 records collected between 2021 and 2023, and apply coupled hydrologic and decision-support modeling to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach cooperative-allocation strategies cut shortage events by 41%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in transboundary river basins. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1363" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1363", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "1", "start_page": "52", "end_page": "66", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "water resources", "climate variability", "hydrology", "drought", "management" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Thermal Management Strategies for High-Density Data Center Cooling: A Comprehensive Study (2023)", "author": [ { "name": "Dr. Madison McKenzie", "affiliation": "University of Waterloo" }, { "name": "Prof. Margaux Beaumont", "affiliation": "Sorbonne Université" } ], "abstract": "This study investigates hyperscale facilities through the lens of thermal management strategies for high-density data center cooling. We adopt a quasi-experimental design drawing on 3,787 observations collected between 2021 and 2023, and apply two-phase immersion cooling with airflow re-design to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach PUE reduction from 1.42 to 1.13, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in hyperscale facilities. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1364" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1364", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "1", "start_page": "67", "end_page": "84", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "thermal management", "data centers", "cooling", "energy efficiency", "HVAC" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Constitutional Reforms in Modern Democracies: Comparative Analysis: A Comparative Study (2023)", "author": [ { "name": "Dr. Margaux Laurent", "affiliation": "HEC Paris" }, { "name": "Dr. Layla Al-Dosari", "affiliation": "King Abdullah University of Science and Technology" } ], "abstract": "This study investigates post-2000 constitutional amendments through the lens of constitutional reforms in modern democracies: comparative analysis. We adopt a comparative case-study approach drawing on 3,463 observations collected between 2021 and 2023, and apply comparative typology of 47 reform episodes to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach deliberative-procedure use correlates with reform durability (r = 0.52), with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in post-2000 constitutional amendments. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1365" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1365", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "1", "start_page": "85", "end_page": "102", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "constitutional law", "democracy", "reform", "comparative law", "governance" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Gamification in K-12 Classrooms: Engagement and Learning Outcomes: A Comprehensive Study (2023)", "author": [ { "name": "Dr. Gabriel Costa", "affiliation": "Federal University of Minas Gerais" }, { "name": "Dr. Da-eun Cho", "affiliation": "Yonsei University" } ], "abstract": "This study investigates middle-school mathematics through the lens of gamification in k-12 classrooms: engagement and learning outcomes. We adopt a randomized controlled trial drawing on 2,541 experimental units collected between 2021 and 2023, and apply randomized trial across 36 classrooms to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach achievement gains of 14% on standardized assessments, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in middle-school mathematics. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1366" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1366", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "1", "start_page": "103", "end_page": "117", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "gamification", "K-12", "engagement", "learning outcomes", "educational games" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Anomaly Detection in Cybersecurity Using Unsupervised Learning: A Longitudinal Study (2023)", "author": [ { "name": "Dr. Yong Kai Teo", "affiliation": "National University of Singapore" }, { "name": "Dr. Daisuke Ito", "affiliation": "Osaka University" } ], "abstract": "This study investigates enterprise network traffic through the lens of anomaly detection in cybersecurity using unsupervised learning. We adopt a quasi-experimental design drawing on 3,267 participants collected between 2021 and 2023, and apply variational autoencoder with reconstruction-error scoring to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach ROC-AUC of 0.948 on the CICIDS dataset, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in enterprise network traffic. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1367" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1367", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "1", "start_page": "118", "end_page": "132", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "cybersecurity", "anomaly detection", "unsupervised learning", "autoencoders", "intrusion detection" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Additive Manufacturing of Lightweight Aerospace Components: A Longitudinal Study (2023)", "author": [ { "name": "Dr. Priya Menon", "affiliation": "Tata Institute of Fundamental Research" }, { "name": "Dr. Marek Zieliński", "affiliation": "Jagiellonian University" } ], "abstract": "This study investigates titanium bracket geometries through the lens of additive manufacturing of lightweight aerospace components. We adopt a comparative case-study approach drawing on 462 records collected between 2021 and 2023, and apply selective laser melting with topology-optimized lattice infills to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 37% mass reduction with equivalent stiffness, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in titanium bracket geometries. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1368" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1368", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "1", "start_page": "133", "end_page": "150", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "additive manufacturing", "3D printing", "aerospace", "lightweight structures", "topology optimization" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Effects of Income Inequality on Health and Wellbeing: A Cross-Sectoral Study (2023)", "author": [ { "name": "Dr. Andrea González", "affiliation": "CINVESTAV" }, { "name": "Dr. Sofía Gómez", "affiliation": "National University of Córdoba" } ], "abstract": "This study investigates OECD member economies through the lens of effects of income inequality on health and wellbeing. We adopt a mixed-methods design drawing on 1,170 subjects collected between 2021 and 2023, and apply panel regression with country fixed effects to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 1-point Gini increase associated with 0.7% drop in self-rated health, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in OECD member economies. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1369" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1369", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "1", "start_page": "151", "end_page": "167", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "income inequality", "health", "wellbeing", "social determinants", "public policy" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Precision Medicine Approaches in Cancer Treatment: A Comparative Study (2023)", "author": [ { "name": "Dr. Paula Vargas", "affiliation": "Pompeu Fabra University" }, { "name": "Dr. Sofía Romero", "affiliation": "National University of Córdoba" } ], "abstract": "This study investigates metastatic colorectal cohorts through the lens of precision medicine approaches in cancer treatment. We adopt a comparative case-study approach drawing on 4,336 experimental units collected between 2021 and 2023, and apply tumor-mutational profiling with matched-therapy assignment to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach median progression-free survival extended by 4.7 months, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in metastatic colorectal cohorts. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1370" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1370", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "2", "start_page": "1", "end_page": "17", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "precision medicine", "oncology", "genomics", "targeted therapy", "biomarkers" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Additive Manufacturing of Lightweight Aerospace Components: A Cross-Sectoral Study (2023)", "author": [ { "name": "Dr. Noa Cohen", "affiliation": "Tel Aviv University" }, { "name": "Dr. Elin Lindberg", "affiliation": "KTH Royal Institute of Technology" } ], "abstract": "This study investigates titanium bracket geometries through the lens of additive manufacturing of lightweight aerospace components. We adopt a quasi-experimental design drawing on 1,339 records collected between 2021 and 2023, and apply selective laser melting with topology-optimized lattice infills to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 37% mass reduction with equivalent stiffness, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in titanium bracket geometries. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1371" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1371", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "2", "start_page": "18", "end_page": "32", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "additive manufacturing", "3D printing", "aerospace", "lightweight structures", "topology optimization" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Trust in Institutions in the Digital Age: A Comparative Study (2023)", "author": [ { "name": "Dr. Lakshmi Chatterjee", "affiliation": "University of Delhi" }, { "name": "Dr. Ricardo Aguilar", "affiliation": "CINVESTAV" } ], "abstract": "This study investigates European public-opinion surveys through the lens of trust in institutions in the digital age. We adopt a randomized controlled trial drawing on 2,001 facilities collected between 2021 and 2023, and apply multilevel modeling across 24 countries to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach platform-news consumption explains 9% of trust variance, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in European public-opinion surveys. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1372" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1372", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "2", "start_page": "33", "end_page": "49", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "institutional trust", "digital media", "political science", "public opinion", "democracy" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Leadership Styles and Employee Engagement: A Cross-Cultural Study: A Multinational Study (2023)", "author": [ { "name": "Dr. Liam McCarthy", "affiliation": "University College Cork" }, { "name": "Dr. Magnus Lindberg", "affiliation": "Karolinska Institute" } ], "abstract": "This study investigates professional-services firms across four countries through the lens of leadership styles and employee engagement: a cross-cultural study. We adopt a mixed-methods design drawing on 1,480 instances collected between 2021 and 2023, and apply multilevel regression with cultural moderators to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach transformational leadership β = 0.52 on engagement, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in professional-services firms across four countries. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1373" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1373", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "2", "start_page": "50", "end_page": "67", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "leadership", "employee engagement", "cross-cultural", "HRM", "organizational behavior" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Refugee Law and Statelessness in the 21st Century: A Multinational Study (2023)", "author": [ { "name": "Dr. Salma Khalil", "affiliation": "Cairo University" }, { "name": "Dr. Nicolás Acosta", "affiliation": "National University of Córdoba" } ], "abstract": "This study investigates protracted displacement contexts through the lens of refugee law and statelessness in the 21st century. We adopt a mixed-methods design drawing on 1,193 cases collected between 2021 and 2023, and apply doctrinal review and field interviews in three host states to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach identification of four protection-gap categories, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in protracted displacement contexts. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1374" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1374", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "2", "start_page": "68", "end_page": "85", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "refugee law", "statelessness", "international law", "human rights", "migration" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Corporate Governance and Regulatory Compliance in Emerging Markets: A Empirical Study (2023)", "author": [ { "name": "Dr. Eitan Mizrahi", "affiliation": "Technion" }, { "name": "Dr. Thandi Naidoo", "affiliation": "University of Cape Town" } ], "abstract": "This study investigates listed firms in Latin America and Southeast Asia through the lens of corporate governance and regulatory compliance in emerging markets. We adopt a mixed-methods design drawing on 4,026 participants collected between 2021 and 2023, and apply panel analysis of governance-quality scores to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach compliance-rating upgrades raise market valuation by 6.1%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in listed firms in Latin America and Southeast Asia. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1375" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1375", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "2", "start_page": "86", "end_page": "103", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "corporate governance", "compliance", "emerging markets", "regulation", "accountability" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Gamification in K-12 Classrooms: Engagement and Learning Outcomes: A Comparative Study (2023)", "author": [ { "name": "Prof. Isabela Ribeiro", "affiliation": "Federal University of Rio de Janeiro" }, { "name": "Dr. Ryan Tremblay", "affiliation": "McGill University" } ], "abstract": "This study investigates middle-school mathematics through the lens of gamification in k-12 classrooms: engagement and learning outcomes. We adopt a systematic review and meta-analysis drawing on 3,877 experimental units collected between 2021 and 2023, and apply randomized trial across 36 classrooms to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach achievement gains of 14% on standardized assessments, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in middle-school mathematics. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1376" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1376", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "2", "start_page": "104", "end_page": "118", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "gamification", "K-12", "engagement", "learning outcomes", "educational games" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Plastic Pollution in Marine Ecosystems: Sources and Mitigation: A Comparative Study (2023)", "author": [ { "name": "Dr. Sophie Wagner", "affiliation": "University of Freiburg" }, { "name": "Dr. Valeria Aguilar", "affiliation": "CINVESTAV" } ], "abstract": "This study investigates coastal and pelagic waters through the lens of plastic pollution in marine ecosystems: sources and mitigation. We adopt a prospective observational study drawing on 707 experimental units collected between 2021 and 2023, and apply isotopic source apportionment of 1,500 samples to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach fishing-gear sources account for 28% of pelagic plastic mass, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in coastal and pelagic waters. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1377" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1377", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "2", "start_page": "119", "end_page": "134", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "plastic pollution", "marine ecosystems", "microplastics", "mitigation", "oceanography" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Behavioral Economics of Decision Making Under Uncertainty: A Longitudinal Study (2023)", "author": [ { "name": "Dr. Matthias Frei", "affiliation": "University of Geneva" }, { "name": "Prof. Kamau Kariuki", "affiliation": "Strathmore University" } ], "abstract": "This study investigates household financial decisions through the lens of behavioral economics of decision making under uncertainty. We adopt a sequential explanatory design drawing on 511 records collected between 2021 and 2023, and apply incentivized lab and field experiments (n = 2,100) to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach loss-aversion coefficient estimated at 2.13, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in household financial decisions. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1378" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1378", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "2", "start_page": "135", "end_page": "149", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "behavioral economics", "decision making", "uncertainty", "heuristics", "experiments" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Air Quality Monitoring Networks in Megacities: A Multinational Study (2023)", "author": [ { "name": "Dr. Ji-hoon Lee", "affiliation": "Seoul National University" }, { "name": "Dr. Faisal Al-Mutairi", "affiliation": "King Fahd University of Petroleum and Minerals" } ], "abstract": "This study investigates South Asian and African megacities through the lens of air quality monitoring networks in megacities. We adopt a longitudinal cohort study drawing on 4,071 observations collected between 2021 and 2023, and apply low-cost sensor calibration with reference-grade integration to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach PM2.5 measurement uncertainty reduced to ±18%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in South Asian and African megacities. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1379" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1379", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "2", "start_page": "150", "end_page": "167", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "air quality", "megacities", "monitoring", "sensors", "pollution" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Hydrogen Fuel Cell Performance Optimization for Heavy-Duty Transport: A Empirical Study (2023)", "author": [ { "name": "Dr. Elsa Lindberg", "affiliation": "Lund University" }, { "name": "Dr. Paula Sánchez", "affiliation": "Pompeu Fabra University" } ], "abstract": "This study investigates long-haul truck powertrains through the lens of hydrogen fuel cell performance optimization for heavy-duty transport. We adopt a sequential explanatory design drawing on 678 observations collected between 2021 and 2023, and apply membrane-electrode assembly redesign with thermal control to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach stack efficiency raised to 58%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in long-haul truck powertrains. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1380" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1380", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "3", "start_page": "1", "end_page": "17", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "hydrogen", "fuel cells", "heavy-duty transport", "clean energy", "efficiency" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Mental Health Interventions for Adolescents Using Digital Platforms: A Comparative Study (2023)", "author": [ { "name": "Dr. Henry Ashworth", "affiliation": "University of Oxford" }, { "name": "Prof. Camila Benítez", "affiliation": "University of Buenos Aires" } ], "abstract": "This study investigates school-based prevention programs through the lens of mental health interventions for adolescents using digital platforms. We adopt a longitudinal cohort study drawing on 3,658 observations collected between 2021 and 2023, and apply randomized controlled trial with 940 participants to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach PHQ-9 scores reduced by 4.2 points at 6 months, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in school-based prevention programs. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1381" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1381", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "3", "start_page": "18", "end_page": "35", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "mental health", "adolescents", "digital health", "CBT", "mobile apps" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Soil Health Indicators for Sustainable Land Management: A Multinational Study (2023)", "author": [ { "name": "Dr. Zeynep Aydın", "affiliation": "Middle East Technical University" }, { "name": "Dr. Sophie Beresford", "affiliation": "University of Edinburgh" } ], "abstract": "This study investigates temperate cropping systems through the lens of soil health indicators for sustainable land management. We adopt a sequential explanatory design drawing on 2,911 experimental units collected between 2021 and 2023, and apply multi-year sampling with biological-physical-chemical battery to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach minimum dataset of 9 indicators validated, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in temperate cropping systems. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1382" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1382", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "3", "start_page": "36", "end_page": "50", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "soil health", "land management", "agriculture", "ecosystems", "sustainability" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Curriculum Innovation: Project-Based Learning in Engineering Education: A Empirical Study (2023)", "author": [ { "name": "Dr. Ayşe Öztürk", "affiliation": "Bogaziçi University" }, { "name": "Dr. Andrés López", "affiliation": "University of Barcelona" } ], "abstract": "This study investigates undergraduate mechanical engineering through the lens of curriculum innovation: project-based learning in engineering education. We adopt a mixed-methods design drawing on 1,231 records collected between 2021 and 2023, and apply two-year curricular redesign with cohort comparison to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach capstone-project quality scores higher by 22%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in undergraduate mechanical engineering. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1383" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1383", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "3", "start_page": "51", "end_page": "67", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "curriculum", "project-based learning", "engineering education", "pedagogy", "innovation" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Assessment Reform: Authentic Assessment in Higher Education: A Empirical Study (2023)", "author": [ { "name": "Dr. Ingrid Larsen", "affiliation": "University of Oslo" }, { "name": "Dr. Naomi Kobayashi", "affiliation": "Osaka University" } ], "abstract": "This study investigates professional graduate programs through the lens of assessment reform: authentic assessment in higher education. We adopt a randomized controlled trial drawing on 2,291 subjects collected between 2021 and 2023, and apply design-based research over four iterations to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach student-perceived learning gains improved by 0.47 SD, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in professional graduate programs. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1384" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1384", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "3", "start_page": "68", "end_page": "85", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "assessment", "authentic assessment", "higher education", "evaluation", "competencies" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Strategic Innovation in Pharmaceutical and tech sectors: Evidence from Multinational Firms: A Multinational Study (2023)", "author": [ { "name": "Dr. Daisuke Yoshida", "affiliation": "Tohoku University" }, { "name": "Dr. Saud Al-Otaibi", "affiliation": "King Fahd University of Petroleum and Minerals" } ], "abstract": "This study investigates pharmaceutical and tech sectors through the lens of strategic innovation in pharmaceutical and tech sectors. We adopt a longitudinal cohort study drawing on 1,235 experimental units collected between 2021 and 2023, and apply panel regression on 240 firms over six years to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach R&D intensity explains 31% of revenue-growth variance, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in pharmaceutical and tech sectors. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1385" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1385", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "3", "start_page": "86", "end_page": "100", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "strategic management", "innovation", "multinationals", "competitive advantage", "R&D" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Reinforcement Learning Approaches for Adaptive Network Resource Allocation: A Multinational Study (2023)", "author": [ { "name": "Dr. Magnus Eklund", "affiliation": "Lund University" }, { "name": "Dr. Si Ying Wong", "affiliation": "Singapore Management University" } ], "abstract": "This study investigates wireless network slicing through the lens of reinforcement learning approaches for adaptive network resource allocation. We adopt a comparative case-study approach drawing on 2,130 experimental units collected between 2021 and 2023, and apply deep Q-network with prioritized replay to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 23% reduction in average packet latency, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in wireless network slicing. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1386" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1386", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "3", "start_page": "101", "end_page": "116", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "reinforcement learning", "networks", "resource allocation", "Q-learning", "optimization" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Smart Material Composites for Self-Healing Infrastructure: A Comparative Study (2023)", "author": [ { "name": "Dr. Robert Hall", "affiliation": "Columbia University" }, { "name": "Dr. Pablo Martínez", "affiliation": "University of Barcelona" } ], "abstract": "This study investigates concrete pavement systems through the lens of smart material composites for self-healing infrastructure. We adopt a quasi-experimental design drawing on 1,981 facilities collected between 2021 and 2023, and apply microcapsule-embedded polymer-modified concrete to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 78% recovery of flexural strength after fracture, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in concrete pavement systems. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1387" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1387", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "3", "start_page": "117", "end_page": "133", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "smart materials", "self-healing", "composites", "infrastructure", "durability" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "STEM Education Initiatives for Girls in Underserved Communities: A Empirical Study (2023)", "author": [ { "name": "Dr. Eva de Vries", "affiliation": "University of Amsterdam" }, { "name": "Prof. Emeka Nnamdi", "affiliation": "Obafemi Awolowo University" } ], "abstract": "This study investigates rural and peri-urban schools through the lens of stem education initiatives for girls in underserved communities. We adopt a quasi-experimental design drawing on 954 instances collected between 2021 and 2023, and apply longitudinal cohort with role-model mentoring to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach STEM-major aspiration rates rose from 18% to 41%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in rural and peri-urban schools. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1388" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1388", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "3", "start_page": "134", "end_page": "151", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "STEM", "gender equity", "education", "girls", "intervention" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Anomaly Detection in Cybersecurity Using Unsupervised Learning: A Empirical Study (2023)", "author": [ { "name": "Dr. Yuki Ito", "affiliation": "Hokkaido University" }, { "name": "Dr. Naledi Dlamini", "affiliation": "University of the Witwatersrand" } ], "abstract": "This study investigates enterprise network traffic through the lens of anomaly detection in cybersecurity using unsupervised learning. We adopt a prospective observational study drawing on 730 observations collected between 2021 and 2023, and apply variational autoencoder with reconstruction-error scoring to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach ROC-AUC of 0.948 on the CICIDS dataset, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in enterprise network traffic. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1389" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1389", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "3", "start_page": "152", "end_page": "168", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "cybersecurity", "anomaly detection", "unsupervised learning", "autoencoders", "intrusion detection" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Assessment Reform: Authentic Assessment in Higher Education: A Multinational Study (2023)", "author": [ { "name": "Dr. Camila Costa", "affiliation": "University of São Paulo" }, { "name": "Prof. Jack Pemberton", "affiliation": "Monash University" } ], "abstract": "This study investigates professional graduate programs through the lens of assessment reform: authentic assessment in higher education. We adopt a sequential explanatory design drawing on 1,903 subjects collected between 2021 and 2023, and apply design-based research over four iterations to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach student-perceived learning gains improved by 0.47 SD, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in professional graduate programs. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1390" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1390", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "4", "start_page": "1", "end_page": "15", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "assessment", "authentic assessment", "higher education", "evaluation", "competencies" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Soil Health Indicators for Sustainable Land Management: A Longitudinal Study (2023)", "author": [ { "name": "Dr. Avi Goldstein", "affiliation": "Tel Aviv University" }, { "name": "Dr. Si Ying Ng", "affiliation": "Nanyang Technological University" } ], "abstract": "This study investigates temperate cropping systems through the lens of soil health indicators for sustainable land management. We adopt a comparative case-study approach drawing on 278 records collected between 2021 and 2023, and apply multi-year sampling with biological-physical-chemical battery to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach minimum dataset of 9 indicators validated, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in temperate cropping systems. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1391" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1391", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "4", "start_page": "16", "end_page": "32", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "soil health", "land management", "agriculture", "ecosystems", "sustainability" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Seismic Performance of Reinforced Concrete Structures Under Cyclic Loading: A Multinational Study (2023)", "author": [ { "name": "Dr. Julien Vallée", "affiliation": "École Polytechnique" }, { "name": "Dr. Sophie Pemberton", "affiliation": "University of Cambridge" } ], "abstract": "This study investigates mid-rise residential buildings through the lens of seismic performance of reinforced concrete structures under cyclic loading. We adopt a systematic review and meta-analysis drawing on 4,500 participants collected between 2021 and 2023, and apply shake-table testing of 1:3 scale specimens to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach drift capacities exceeding code requirements by 22%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in mid-rise residential buildings. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1392" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1392", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "4", "start_page": "33", "end_page": "47", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "seismic engineering", "reinforced concrete", "cyclic loading", "structural dynamics", "earthquake" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Consumer Behavior in Omnichannel Retail Environments: A Longitudinal Study (2023)", "author": [ { "name": "Prof. Tae-woo Choi", "affiliation": "POSTECH" }, { "name": "Dr. Magdalena Kamiński", "affiliation": "Warsaw University of Technology" } ], "abstract": "This study investigates fashion and grocery retail through the lens of consumer behavior in omnichannel retail environments. We adopt a sequential explanatory design drawing on 3,241 instances collected between 2021 and 2023, and apply mixed-methods survey of 1,800 shoppers to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach channel-switching intention reduced by 27% with unified loyalty, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in fashion and grocery retail. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1393" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1393", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "4", "start_page": "48", "end_page": "63", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "consumer behavior", "omnichannel", "retail", "customer experience", "marketing" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Recommender Systems Using Hybrid Collaborative and Content-Based Filtering: A Comparative Study (2023)", "author": [ { "name": "Dr. Liv Nilsen", "affiliation": "Norwegian University of Science and Technology" }, { "name": "Dr. Christopher Robinson", "affiliation": "Carnegie Mellon University" } ], "abstract": "This study investigates online education catalogs through the lens of recommender systems using hybrid collaborative and content-based filtering. We adopt a quasi-experimental design drawing on 2,360 cases collected between 2021 and 2023, and apply neural collaborative filtering with content embeddings to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach NDCG@10 improvement of 18% over baseline, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in online education catalogs. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1394" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1394", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "4", "start_page": "64", "end_page": "79", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "recommender systems", "collaborative filtering", "content-based", "hybrid models", "personalization" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Climate Change Adaptation Strategies for Coastal Cities: A Multinational Study (2023)", "author": [ { "name": "Dr. Lars van der Berg", "affiliation": "Utrecht University" }, { "name": "Dr. Ji-hoon Lim", "affiliation": "Hanyang University" } ], "abstract": "This study investigates mid-size coastal municipalities through the lens of climate change adaptation strategies for coastal cities. We adopt a comparative case-study approach drawing on 3,344 records collected between 2021 and 2023, and apply vulnerability-index modeling with adaptation-pathway design to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach prioritized 12 high-leverage adaptation actions, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in mid-size coastal municipalities. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1395" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1395", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "4", "start_page": "80", "end_page": "96", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "climate adaptation", "coastal cities", "sea level rise", "resilience", "urban planning" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Natural Language Processing Techniques for Low-Resource Language Translation: A Comprehensive Study (2023)", "author": [ { "name": "Dr. Njoroge Kipchoge", "affiliation": "University of Nairobi" }, { "name": "Dr. Camila Álvarez", "affiliation": "University of Buenos Aires" } ], "abstract": "This study investigates African and South Asian languages through the lens of natural language processing techniques for low-resource language translation. We adopt a mixed-methods design drawing on 3,564 cases collected between 2021 and 2023, and apply transformer with cross-lingual transfer to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach +6.4 BLEU over the baseline, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in African and South Asian languages. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1396" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1396", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "4", "start_page": "97", "end_page": "114", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "NLP", "low-resource languages", "machine translation", "transfer learning", "multilingual models" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Explainable AI for High-Stakes Decision Systems: A Comparative Study (2023)", "author": [ { "name": "Dr. Astrid Sandberg", "affiliation": "KTH Royal Institute of Technology" }, { "name": "Dr. Tomasz Wójcik", "affiliation": "Jagiellonian University" } ], "abstract": "This study investigates credit risk and clinical triage models through the lens of explainable ai for high-stakes decision systems. We adopt a prospective observational study drawing on 2,541 subjects collected between 2021 and 2023, and apply SHAP-based local attribution with stability auditing to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 92% expert agreement with model rationales, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in credit risk and clinical triage models. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1397" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1397", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "4", "start_page": "115", "end_page": "130", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "explainable AI", "XAI", "interpretability", "model transparency", "trust" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Smart Material Composites for Self-Healing Infrastructure: A Longitudinal Study (2023)", "author": [ { "name": "Dr. Sofia Galli", "affiliation": "University of Padua" }, { "name": "Prof. Hessa Al-Otaibi", "affiliation": "King Abdullah University of Science and Technology" } ], "abstract": "This study investigates concrete pavement systems through the lens of smart material composites for self-healing infrastructure. We adopt a prospective observational study drawing on 2,759 observations collected between 2021 and 2023, and apply microcapsule-embedded polymer-modified concrete to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 78% recovery of flexural strength after fracture, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in concrete pavement systems. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1398" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1398", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "4", "start_page": "131", "end_page": "145", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "smart materials", "self-healing", "composites", "infrastructure", "durability" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Corporate Governance and Regulatory Compliance in Emerging Markets: A Longitudinal Study (2023)", "author": [ { "name": "Prof. Yossi Shapira", "affiliation": "Weizmann Institute of Science" }, { "name": "Dr. Andreas Krüger", "affiliation": "RWTH Aachen University" } ], "abstract": "This study investigates listed firms in Latin America and Southeast Asia through the lens of corporate governance and regulatory compliance in emerging markets. We adopt a randomized controlled trial drawing on 1,184 subjects collected between 2021 and 2023, and apply panel analysis of governance-quality scores to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach compliance-rating upgrades raise market valuation by 6.1%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in listed firms in Latin America and Southeast Asia. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1399" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1399", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "4", "start_page": "146", "end_page": "163", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "corporate governance", "compliance", "emerging markets", "regulation", "accountability" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Autonomous Vehicle Perception Systems Using Multi-Sensor Fusion: A Empirical Study (2023)", "author": [ { "name": "Dr. Hannah Nelson", "affiliation": "Yale University" }, { "name": "Prof. Owen Tremblay", "affiliation": "University of British Columbia" } ], "abstract": "This study investigates urban driving scenarios through the lens of autonomous vehicle perception systems using multi-sensor fusion. We adopt a longitudinal cohort study drawing on 2,007 facilities collected between 2021 and 2023, and apply Kalman-filter fusion of LiDAR, camera, and radar streams to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach object-detection mAP of 0.87 across 12 weather conditions, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in urban driving scenarios. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1400" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1400", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "5", "start_page": "1", "end_page": "16", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "autonomous vehicles", "sensor fusion", "LiDAR", "perception", "robotics" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Wearable Devices for Chronic Disease Monitoring: A Cross-Sectoral Study (2023)", "author": [ { "name": "Dr. Naomi Saito", "affiliation": "Kyoto University" }, { "name": "Dr. Andi Sari", "affiliation": "Gadjah Mada University" } ], "abstract": "This study investigates type-2 diabetes management through the lens of wearable devices for chronic disease monitoring. We adopt a randomized controlled trial drawing on 3,768 participants collected between 2021 and 2023, and apply continuous-glucose-monitor integration with mobile coaching to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach HbA1c reduction of 0.9% at 24 weeks, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in type-2 diabetes management. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1401" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1401", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "5", "start_page": "17", "end_page": "34", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "wearables", "chronic disease", "remote monitoring", "cardiovascular", "diabetes" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Maternal Health Outcomes in Low-Resource Settings: A Multinational Study (2023)", "author": [ { "name": "Dr. Camila Álvarez", "affiliation": "Universidad Austral" }, { "name": "Prof. Yong Kai Teo", "affiliation": "National University of Singapore" } ], "abstract": "This study investigates rural districts in Sub-Saharan Africa through the lens of maternal health outcomes in low-resource settings. We adopt a mixed-methods design drawing on 3,662 participants collected between 2021 and 2023, and apply stepped-wedge cluster trial across 18 facilities to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach obstetric-complication response time halved, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in rural districts in Sub-Saharan Africa. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1402" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1402", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "5", "start_page": "35", "end_page": "50", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "maternal health", "global health", "midwifery", "health systems", "equity" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Trust in Institutions in the Digital Age: A Longitudinal Study (2023)", "author": [ { "name": "Dr. Andrea Ramírez", "affiliation": "National Autonomous University of Mexico" }, { "name": "Dr. Stefan Bauer", "affiliation": "Humboldt University Berlin" } ], "abstract": "This study investigates European public-opinion surveys through the lens of trust in institutions in the digital age. We adopt a systematic review and meta-analysis drawing on 719 observations collected between 2021 and 2023, and apply multilevel modeling across 24 countries to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach platform-news consumption explains 9% of trust variance, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in European public-opinion surveys. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1403" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1403", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "5", "start_page": "51", "end_page": "66", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "institutional trust", "digital media", "political science", "public opinion", "democracy" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Edge Computing Architectures for Real-Time IoT Data Processing: A Comparative Study (2023)", "author": [ { "name": "Dr. Sophia McKenzie", "affiliation": "University of British Columbia" }, { "name": "Dr. Avi Mizrahi", "affiliation": "Weizmann Institute of Science" } ], "abstract": "This study investigates industrial sensor networks through the lens of edge computing architectures for real-time iot data processing. We adopt a prospective observational study drawing on 3,770 facilities collected between 2021 and 2023, and apply container-based microservice orchestration to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach end-to-end latency below 80 ms at the 95th percentile, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in industrial sensor networks. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1404" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1404", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "5", "start_page": "67", "end_page": "83", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "edge computing", "IoT", "real-time systems", "data streaming", "latency" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Digital Divide and Access to Public Services in Rural Areas: A Cross-Sectoral Study (2023)", "author": [ { "name": "Dr. Elin Lindberg", "affiliation": "Karolinska Institute" }, { "name": "Dr. Ryan Ferguson", "affiliation": "McMaster University" } ], "abstract": "This study investigates e-government rollout in low-bandwidth regions through the lens of digital divide and access to public services in rural areas. We adopt a sequential explanatory design drawing on 4,061 facilities collected between 2021 and 2023, and apply geo-spatial analysis combined with citizen surveys to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach service-uptake gap of 34 percentage points vs. urban areas, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in e-government rollout in low-bandwidth regions. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1405" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1405", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "5", "start_page": "84", "end_page": "101", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "digital divide", "rural access", "public services", "ICT", "equity" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Refugee Law and Statelessness in the 21st Century: A Empirical Study (2023)", "author": [ { "name": "Dr. Sophie Weber", "affiliation": "Heidelberg University" }, { "name": "Dr. Rachel Allen", "affiliation": "Princeton University" } ], "abstract": "This study investigates protracted displacement contexts through the lens of refugee law and statelessness in the 21st century. We adopt a systematic review and meta-analysis drawing on 3,767 experimental units collected between 2021 and 2023, and apply doctrinal review and field interviews in three host states to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach identification of four protection-gap categories, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in protracted displacement contexts. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1406" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1406", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "5", "start_page": "102", "end_page": "117", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "refugee law", "statelessness", "international law", "human rights", "migration" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Water Resource Management Under Climate Variability: A Multinational Study (2023)", "author": [ { "name": "Dr. Karthik Rao", "affiliation": "Indian Institute of Technology Madras" }, { "name": "Dr. Elin Lindqvist", "affiliation": "Lund University" } ], "abstract": "This study investigates transboundary river basins through the lens of water resource management under climate variability. We adopt a quasi-experimental design drawing on 555 facilities collected between 2021 and 2023, and apply coupled hydrologic and decision-support modeling to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach cooperative-allocation strategies cut shortage events by 41%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in transboundary river basins. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1407" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1407", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "5", "start_page": "118", "end_page": "132", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "water resources", "climate variability", "hydrology", "drought", "management" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Antitrust Law in the Age of Digital Platforms: A Comprehensive Study (2023)", "author": [ { "name": "Dr. Khalid Al-Harbi", "affiliation": "King Fahd University of Petroleum and Minerals" }, { "name": "Dr. Chinedu Nnamdi", "affiliation": "University of Lagos" } ], "abstract": "This study investigates two-sided digital marketplaces through the lens of antitrust law in the age of digital platforms. We adopt a prospective observational study drawing on 2,450 participants collected between 2021 and 2023, and apply economic-modeling-informed legal analysis to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach proposal of three new theories of harm, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in two-sided digital marketplaces. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1408" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1408", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "5", "start_page": "133", "end_page": "147", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "antitrust", "competition law", "digital platforms", "monopoly", "regulation" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Precision Medicine Approaches in Cancer Treatment: A Empirical Study (2023)", "author": [ { "name": "Dr. Connor Beaulieu", "affiliation": "University of Waterloo" }, { "name": "Prof. Yong Wang", "affiliation": "Shanghai Jiao Tong University" } ], "abstract": "This study investigates metastatic colorectal cohorts through the lens of precision medicine approaches in cancer treatment. We adopt a randomized controlled trial drawing on 418 subjects collected between 2021 and 2023, and apply tumor-mutational profiling with matched-therapy assignment to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach median progression-free survival extended by 4.7 months, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in metastatic colorectal cohorts. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1409" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1409", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "5", "start_page": "148", "end_page": "164", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "precision medicine", "oncology", "genomics", "targeted therapy", "biomarkers" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Reinforcement Learning Approaches for Adaptive Network Resource Allocation: A Cross-Sectoral Study (2023)", "author": [ { "name": "Prof. Emeka Nwosu", "affiliation": "University of Ibadan" }, { "name": "Dr. Henrik Olsen", "affiliation": "University of Oslo" } ], "abstract": "This study investigates wireless network slicing through the lens of reinforcement learning approaches for adaptive network resource allocation. We adopt a randomized controlled trial drawing on 1,522 records collected between 2021 and 2023, and apply deep Q-network with prioritized replay to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 23% reduction in average packet latency, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in wireless network slicing. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1410" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1410", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "6", "start_page": "1", "end_page": "15", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "reinforcement learning", "networks", "resource allocation", "Q-learning", "optimization" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Water Resource Management Under Climate Variability: A Comprehensive Study (2023)", "author": [ { "name": "Dr. Yuki Kobayashi", "affiliation": "Hokkaido University" }, { "name": "Dr. Putri Setiawan", "affiliation": "University of Indonesia" } ], "abstract": "This study investigates transboundary river basins through the lens of water resource management under climate variability. We adopt a quasi-experimental design drawing on 1,743 experimental units collected between 2021 and 2023, and apply coupled hydrologic and decision-support modeling to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach cooperative-allocation strategies cut shortage events by 41%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in transboundary river basins. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1411" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1411", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "6", "start_page": "16", "end_page": "31", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "water resources", "climate variability", "hydrology", "drought", "management" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Digital Transformation and Organizational Agility: A Multinational Study (2023)", "author": [ { "name": "Dr. Magnus Pedersen", "affiliation": "Norwegian University of Science and Technology" }, { "name": "Dr. Olumide Adesanya", "affiliation": "University of Ibadan" } ], "abstract": "This study investigates mid-sized service firms through the lens of digital transformation and organizational agility. We adopt a comparative case-study approach drawing on 4,194 observations collected between 2021 and 2023, and apply longitudinal case-study comparison across 18 organizations to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach agility score gains of 2.3 points on a 7-point scale, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in mid-sized service firms. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1412" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1412", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "6", "start_page": "32", "end_page": "47", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "digital transformation", "organizational agility", "change management", "ICT", "strategy" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Smart Material Composites for Self-Healing Infrastructure: A Empirical Study (2023)", "author": [ { "name": "Dr. Yuki Sato", "affiliation": "Kyoto University" }, { "name": "Dr. Giulia Esposito", "affiliation": "Sapienza University of Rome" } ], "abstract": "This study investigates concrete pavement systems through the lens of smart material composites for self-healing infrastructure. We adopt a prospective observational study drawing on 3,312 facilities collected between 2021 and 2023, and apply microcapsule-embedded polymer-modified concrete to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 78% recovery of flexural strength after fracture, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in concrete pavement systems. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1413" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1413", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "6", "start_page": "48", "end_page": "65", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "smart materials", "self-healing", "composites", "infrastructure", "durability" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Gamification in K-12 Classrooms: Engagement and Learning Outcomes: A Cross-Sectoral Study (2023)", "author": [ { "name": "Dr. Hye-jin Yoon", "affiliation": "Seoul National University" }, { "name": "Dr. Magnus Andersen", "affiliation": "University of Oslo" } ], "abstract": "This study investigates middle-school mathematics through the lens of gamification in k-12 classrooms: engagement and learning outcomes. We adopt a randomized controlled trial drawing on 3,223 instances collected between 2021 and 2023, and apply randomized trial across 36 classrooms to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach achievement gains of 14% on standardized assessments, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in middle-school mathematics. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1414" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1414", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "6", "start_page": "66", "end_page": "83", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "gamification", "K-12", "engagement", "learning outcomes", "educational games" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Supply Chain Resilience in the Face of Global Disruptions: A Comprehensive Study (2023)", "author": [ { "name": "Dr. Noah Sutherland", "affiliation": "University of Sydney" }, { "name": "Dr. Florian Steiner", "affiliation": "University of Zurich" } ], "abstract": "This study investigates consumer-electronics supply networks through the lens of supply chain resilience in the face of global disruptions. We adopt a sequential explanatory design drawing on 2,342 facilities collected between 2021 and 2023, and apply structural-equation modeling on 412 firm responses to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach supplier diversification effect size β = 0.41, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in consumer-electronics supply networks. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1415" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1415", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "6", "start_page": "84", "end_page": "100", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "supply chain", "resilience", "risk management", "global trade", "disruption" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Thermal Management Strategies for High-Density Data Center Cooling: A Comparative Study (2023)", "author": [ { "name": "Dr. Magnus Kristiansen", "affiliation": "University of Bergen" }, { "name": "Dr. Min-jun Cho", "affiliation": "Seoul National University" } ], "abstract": "This study investigates hyperscale facilities through the lens of thermal management strategies for high-density data center cooling. We adopt a quasi-experimental design drawing on 4,000 facilities collected between 2021 and 2023, and apply two-phase immersion cooling with airflow re-design to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach PUE reduction from 1.42 to 1.13, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in hyperscale facilities. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1416" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1416", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "6", "start_page": "101", "end_page": "117", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "thermal management", "data centers", "cooling", "energy efficiency", "HVAC" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Corporate Governance and Regulatory Compliance in Emerging Markets: A Cross-Sectoral Study (2023)", "author": [ { "name": "Dr. Markus Weber", "affiliation": "University of Freiburg" }, { "name": "Dr. Elena Martínez", "affiliation": "Pompeu Fabra University" } ], "abstract": "This study investigates listed firms in Latin America and Southeast Asia through the lens of corporate governance and regulatory compliance in emerging markets. We adopt a mixed-methods design drawing on 3,818 cases collected between 2021 and 2023, and apply panel analysis of governance-quality scores to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach compliance-rating upgrades raise market valuation by 6.1%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in listed firms in Latin America and Southeast Asia. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1417" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1417", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "6", "start_page": "118", "end_page": "133", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "corporate governance", "compliance", "emerging markets", "regulation", "accountability" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Autonomous Vehicle Perception Systems Using Multi-Sensor Fusion: A Multinational Study (2023)", "author": [ { "name": "Dr. Liv Larsen", "affiliation": "Norwegian University of Science and Technology" }, { "name": "Dr. James Carter", "affiliation": "University of Michigan" } ], "abstract": "This study investigates urban driving scenarios through the lens of autonomous vehicle perception systems using multi-sensor fusion. We adopt a mixed-methods design drawing on 3,080 instances collected between 2021 and 2023, and apply Kalman-filter fusion of LiDAR, camera, and radar streams to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach object-detection mAP of 0.87 across 12 weather conditions, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in urban driving scenarios. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1418" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1418", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "6", "start_page": "134", "end_page": "148", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "autonomous vehicles", "sensor fusion", "LiDAR", "perception", "robotics" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Graph Neural Networks for Knowledge Graph Completion: A Cross-Sectoral Study (2023)", "author": [ { "name": "Prof. Maha Al-Saud", "affiliation": "King Saud University" }, { "name": "Dr. Joshua King", "affiliation": "Cornell University" } ], "abstract": "This study investigates biomedical knowledge graphs through the lens of graph neural networks for knowledge graph completion. We adopt a comparative case-study approach drawing on 3,240 experimental units collected between 2021 and 2023, and apply relational graph convolutional network to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach MRR of 0.612 on FB15k-237, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in biomedical knowledge graphs. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1419" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1419", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "6", "start_page": "149", "end_page": "164", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "graph neural networks", "knowledge graphs", "representation learning", "link prediction", "embeddings" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Intellectual Property Rights in Biotechnology and Genetic Research: A Comprehensive Study (2023)", "author": [ { "name": "Dr. Grace Sinclair", "affiliation": "King's College London" }, { "name": "Dr. Ahmed Abdelrahman", "affiliation": "Alexandria University" } ], "abstract": "This study investigates CRISPR-related patent landscapes through the lens of intellectual property rights in biotechnology and genetic research. We adopt a sequential explanatory design drawing on 3,596 instances collected between 2021 and 2023, and apply patent-landscape analytics on 4,200 filings to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach ownership-concentration index Herfindahl 0.31, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in CRISPR-related patent landscapes. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1420" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1420", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "7", "start_page": "1", "end_page": "15", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "intellectual property", "biotechnology", "genetic research", "patents", "innovation" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Knowledge Management Practices in Distributed Workforces", "author": [ { "name": "Dr. Carmen Sánchez", "affiliation": "Pompeu Fabra University" }, { "name": "Dr. Madison Whitehouse", "affiliation": "University of Waterloo" } ], "abstract": "This study investigates global software-development teams through the lens of knowledge management practices in distributed workforces. We adopt a quasi-experimental design drawing on 399 cases collected between 2021 and 2023, and apply social-network analysis of 2,400 collaboration links to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach weak-tie communication explains 18% of innovation output, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in global software-development teams. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1421" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1421", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "7", "start_page": "16", "end_page": "33", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "knowledge management", "distributed teams", "remote work", "collaboration", "organizational learning" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Digital Transformation and Organizational Agility: A Empirical Study (2023)", "author": [ { "name": "Dr. Diego Benítez", "affiliation": "National University of Córdoba" }, { "name": "Dr. Miguel González", "affiliation": "Tecnológico de Monterrey" } ], "abstract": "This study investigates mid-sized service firms through the lens of digital transformation and organizational agility. We adopt a comparative case-study approach drawing on 3,518 subjects collected between 2021 and 2023, and apply longitudinal case-study comparison across 18 organizations to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach agility score gains of 2.3 points on a 7-point scale, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in mid-sized service firms. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1422" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1422", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "7", "start_page": "34", "end_page": "50", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "digital transformation", "organizational agility", "change management", "ICT", "strategy" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Effects of Income Inequality on Health and Wellbeing: A Empirical Study (2023)", "author": [ { "name": "Dr. So-yeon Choi", "affiliation": "POSTECH" }, { "name": "Dr. Megan Adams", "affiliation": "Northwestern University" } ], "abstract": "This study investigates OECD member economies through the lens of effects of income inequality on health and wellbeing. We adopt a mixed-methods design drawing on 2,429 participants collected between 2021 and 2023, and apply panel regression with country fixed effects to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 1-point Gini increase associated with 0.7% drop in self-rated health, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in OECD member economies. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1423" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1423", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "7", "start_page": "51", "end_page": "65", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "income inequality", "health", "wellbeing", "social determinants", "public policy" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Seismic Performance of Reinforced Concrete Structures Under Cyclic Loading: A Longitudinal Study (2023)", "author": [ { "name": "Dr. Kavya Bhatt", "affiliation": "Indian Institute of Science" }, { "name": "Dr. Yong Kai Tan", "affiliation": "National University of Singapore" } ], "abstract": "This study investigates mid-rise residential buildings through the lens of seismic performance of reinforced concrete structures under cyclic loading. We adopt a longitudinal cohort study drawing on 3,154 experimental units collected between 2021 and 2023, and apply shake-table testing of 1:3 scale specimens to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach drift capacities exceeding code requirements by 22%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in mid-rise residential buildings. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1424" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1424", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "7", "start_page": "66", "end_page": "80", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "seismic engineering", "reinforced concrete", "cyclic loading", "structural dynamics", "earthquake" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Anomaly Detection in Cybersecurity Using Unsupervised Learning: A Comparative Study (2023)", "author": [ { "name": "Dr. Lars Nilsen", "affiliation": "Norwegian University of Science and Technology" }, { "name": "Dr. Ava Macarthur", "affiliation": "University of Sydney" } ], "abstract": "This study investigates enterprise network traffic through the lens of anomaly detection in cybersecurity using unsupervised learning. We adopt a mixed-methods design drawing on 318 observations collected between 2021 and 2023, and apply variational autoencoder with reconstruction-error scoring to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach ROC-AUC of 0.948 on the CICIDS dataset, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in enterprise network traffic. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1425" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1425", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "7", "start_page": "81", "end_page": "98", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "cybersecurity", "anomaly detection", "unsupervised learning", "autoencoders", "intrusion detection" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "International Human Rights Law in the Context of Climate Change: A Comprehensive Study (2023)", "author": [ { "name": "Dr. Ricardo Reyes", "affiliation": "CINVESTAV" }, { "name": "Dr. Rohit Reddy", "affiliation": "University of Delhi" } ], "abstract": "This study investigates small-island and Arctic communities through the lens of international human rights law in the context of climate change. We adopt a prospective observational study drawing on 352 participants collected between 2021 and 2023, and apply doctrinal analysis with case-law mapping to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach emerging right-to-stable-climate doctrine identified in 9 jurisdictions, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in small-island and Arctic communities. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1426" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1426", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "7", "start_page": "99", "end_page": "116", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "human rights", "climate change", "international law", "environmental law", "justice" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Precision Medicine Approaches in Cancer Treatment: A Comprehensive Study (2023)", "author": [ { "name": "Dr. Alessandro Ferrari", "affiliation": "University of Padua" }, { "name": "Dr. Nicolás Sosa", "affiliation": "University of Buenos Aires" } ], "abstract": "This study investigates metastatic colorectal cohorts through the lens of precision medicine approaches in cancer treatment. We adopt a randomized controlled trial drawing on 3,072 observations collected between 2021 and 2023, and apply tumor-mutational profiling with matched-therapy assignment to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach median progression-free survival extended by 4.7 months, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in metastatic colorectal cohorts. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1427" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1427", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "7", "start_page": "117", "end_page": "132", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "precision medicine", "oncology", "genomics", "targeted therapy", "biomarkers" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Soil Health Indicators for Sustainable Land Management: A Comparative Study (2023)", "author": [ { "name": "Prof. Isabela Oliveira", "affiliation": "Federal University of Minas Gerais" }, { "name": "Dr. Katarzyna Kowalski", "affiliation": "AGH University" } ], "abstract": "This study investigates temperate cropping systems through the lens of soil health indicators for sustainable land management. We adopt a randomized controlled trial drawing on 3,276 experimental units collected between 2021 and 2023, and apply multi-year sampling with biological-physical-chemical battery to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach minimum dataset of 9 indicators validated, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in temperate cropping systems. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1428" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1428", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "7", "start_page": "133", "end_page": "147", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "soil health", "land management", "agriculture", "ecosystems", "sustainability" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Plastic Pollution in Marine Ecosystems: Sources and Mitigation: A Comprehensive Study (2023)", "author": [ { "name": "Dr. Lucas Costa", "affiliation": "Federal University of Rio de Janeiro" }, { "name": "Dr. Gabriela Reyes", "affiliation": "National Autonomous University of Mexico" } ], "abstract": "This study investigates coastal and pelagic waters through the lens of plastic pollution in marine ecosystems: sources and mitigation. We adopt a randomized controlled trial drawing on 1,555 cases collected between 2021 and 2023, and apply isotopic source apportionment of 1,500 samples to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach fishing-gear sources account for 28% of pelagic plastic mass, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in coastal and pelagic waters. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1429" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1429", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "7", "start_page": "148", "end_page": "163", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "plastic pollution", "marine ecosystems", "microplastics", "mitigation", "oceanography" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Educational Equity in Multilingual Classrooms: A Comprehensive Study (2023)", "author": [ { "name": "Dr. Markus Weber", "affiliation": "University of Freiburg" }, { "name": "Dr. Julien Marchand", "affiliation": "École Polytechnique" } ], "abstract": "This study investigates immigrant-receiving urban districts through the lens of educational equity in multilingual classrooms. We adopt a quasi-experimental design drawing on 2,615 observations collected between 2021 and 2023, and apply policy analysis combined with classroom observation to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach scaffolded multilingual instruction narrowed reading gaps by 31%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in immigrant-receiving urban districts. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1430" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1430", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "8", "start_page": "1", "end_page": "17", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "educational equity", "multilingual", "language education", "diversity", "access" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Online Learning Effectiveness in Higher Education During the Post-pandemic Era: A Longitudinal Study (2023)", "author": [ { "name": "Dr. Kamau Wekesa", "affiliation": "University of Nairobi" }, { "name": "Dr. Carlos Hernández", "affiliation": "CINVESTAV" } ], "abstract": "This study investigates post-pandemic through the lens of online learning effectiveness in higher education during the post-pandemic era. We adopt a systematic review and meta-analysis drawing on 3,513 experimental units collected between 2021 and 2023, and apply meta-analysis of 142 controlled studies to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach pooled effect size d = 0.21 favoring blended designs, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in post-pandemic. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1431" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1431", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "8", "start_page": "18", "end_page": "33", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "online learning", "higher education", "educational technology", "pedagogy", "outcomes" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Structural Health Monitoring of Bridges Using Wireless Sensor Networks: A Multinational Study (2023)", "author": [ { "name": "Dr. Sofía Quiroga", "affiliation": "University of Buenos Aires" }, { "name": "Dr. Rana Mahmoud", "affiliation": "American University in Cairo" } ], "abstract": "This study investigates highway bridge spans through the lens of structural health monitoring of bridges using wireless sensor networks. We adopt a longitudinal cohort study drawing on 3,635 records collected between 2021 and 2023, and apply MEMS-accelerometer mesh with modal-parameter extraction to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach early-warning detection of 3-mm crack growth events, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in highway bridge spans. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1432" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1432", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "8", "start_page": "34", "end_page": "48", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "structural health monitoring", "wireless sensors", "bridges", "civil engineering", "vibration analysis" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Sustainable Agriculture Practices for Food Security: A Multinational Study (2023)", "author": [ { "name": "Dr. Erik Holmberg", "affiliation": "Karolinska Institute" }, { "name": "Dr. Femke Janssen", "affiliation": "Leiden University" } ], "abstract": "This study investigates smallholder farms in semi-arid regions through the lens of sustainable agriculture practices for food security. We adopt a longitudinal cohort study drawing on 3,709 facilities collected between 2021 and 2023, and apply on-farm trials across 220 sites over four seasons to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach yield-stability index improved by 23%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in smallholder farms in semi-arid regions. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1433" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1433", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "8", "start_page": "49", "end_page": "66", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "sustainable agriculture", "food security", "agroecology", "climate-smart", "yields" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Water Resource Management Under Climate Variability: A Cross-Sectoral Study (2023)", "author": [ { "name": "Dr. Yong Kai Lim", "affiliation": "Nanyang Technological University" }, { "name": "Dr. Magnus Hansen", "affiliation": "Norwegian University of Science and Technology" } ], "abstract": "This study investigates transboundary river basins through the lens of water resource management under climate variability. We adopt a systematic review and meta-analysis drawing on 3,598 participants collected between 2021 and 2023, and apply coupled hydrologic and decision-support modeling to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach cooperative-allocation strategies cut shortage events by 41%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in transboundary river basins. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1434" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1434", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "8", "start_page": "67", "end_page": "81", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "water resources", "climate variability", "hydrology", "drought", "management" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Data Protection and Privacy Regulation in the Era of Big Data: A Comprehensive Study (2023)", "author": [ { "name": "Dr. Sophie Wagner", "affiliation": "Humboldt University Berlin" }, { "name": "Dr. Si Ying Goh", "affiliation": "Singapore Management University" } ], "abstract": "This study investigates cross-border personal-data flows through the lens of data protection and privacy regulation in the era of big data. We adopt a sequential explanatory design drawing on 4,222 experimental units collected between 2021 and 2023, and apply comparative legal analysis across 12 jurisdictions to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach convergence on three regulatory archetypes, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in cross-border personal-data flows. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1435" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1435", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "8", "start_page": "82", "end_page": "98", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "data protection", "privacy", "GDPR", "big data", "regulation" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Entrepreneurial Ecosystems and Startup Success Factors: A Multinational Study (2023)", "author": [ { "name": "Dr. Selin Çelik", "affiliation": "Bilkent University" }, { "name": "Prof. Elena Martínez", "affiliation": "Autonomous University of Madrid" } ], "abstract": "This study investigates tech-startup hubs in Asia and Europe through the lens of entrepreneurial ecosystems and startup success factors. We adopt a mixed-methods design drawing on 3,360 observations collected between 2021 and 2023, and apply qualitative comparative analysis of 35 ecosystem cases to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach talent-density configuration is necessary in 92% of high-growth cases, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in tech-startup hubs in Asia and Europe. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1436" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1436", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "8", "start_page": "99", "end_page": "115", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "entrepreneurship", "ecosystems", "startups", "venture capital", "innovation" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Assessment Reform: Authentic Assessment in Higher Education: A Longitudinal Study (2023)", "author": [ { "name": "Dr. Sanne Bakker", "affiliation": "Delft University of Technology" }, { "name": "Dr. Nicolas Marchand", "affiliation": "École Normale Supérieure" } ], "abstract": "This study investigates professional graduate programs through the lens of assessment reform: authentic assessment in higher education. We adopt a systematic review and meta-analysis drawing on 2,567 participants collected between 2021 and 2023, and apply design-based research over four iterations to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach student-perceived learning gains improved by 0.47 SD, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in professional graduate programs. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1437" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1437", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "8", "start_page": "116", "end_page": "133", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "assessment", "authentic assessment", "higher education", "evaluation", "competencies" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Edge Computing Architectures for Real-Time IoT Data Processing: A Multinational Study (2023)", "author": [ { "name": "Dr. Priya Rao", "affiliation": "Jawaharlal Nehru University" }, { "name": "Dr. Eva van der Berg", "affiliation": "University of Amsterdam" } ], "abstract": "This study investigates industrial sensor networks through the lens of edge computing architectures for real-time iot data processing. We adopt a quasi-experimental design drawing on 1,293 observations collected between 2021 and 2023, and apply container-based microservice orchestration to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach end-to-end latency below 80 ms at the 95th percentile, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in industrial sensor networks. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1438" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1438", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "8", "start_page": "134", "end_page": "148", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "edge computing", "IoT", "real-time systems", "data streaming", "latency" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Risk Management Frameworks for Financial Services in Volatile Markets: A Comprehensive Study (2023)", "author": [ { "name": "Dr. Nicolás Álvarez", "affiliation": "University of Buenos Aires" }, { "name": "Dr. Achieng Odhiambo", "affiliation": "Kenyatta University" } ], "abstract": "This study investigates mid-size commercial banks through the lens of risk management frameworks for financial services in volatile markets. We adopt a prospective observational study drawing on 4,007 observations collected between 2021 and 2023, and apply Monte-Carlo stress testing under 50,000 macro paths to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach expected-shortfall coverage improved by 19%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in mid-size commercial banks. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1439" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1439", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "8", "start_page": "149", "end_page": "166", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "risk management", "financial services", "volatility", "Basel", "compliance" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Seismic Performance of Reinforced Concrete Structures Under Cyclic Loading: A Comparative Study (2023)", "author": [ { "name": "Dr. Abdullah Al-Sulaiman", "affiliation": "King Saud University" }, { "name": "Dr. Tamar Levi", "affiliation": "Weizmann Institute of Science" } ], "abstract": "This study investigates mid-rise residential buildings through the lens of seismic performance of reinforced concrete structures under cyclic loading. We adopt a longitudinal cohort study drawing on 3,212 subjects collected between 2021 and 2023, and apply shake-table testing of 1:3 scale specimens to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach drift capacities exceeding code requirements by 22%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in mid-rise residential buildings. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1440" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1440", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "9", "start_page": "1", "end_page": "16", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "seismic engineering", "reinforced concrete", "cyclic loading", "structural dynamics", "earthquake" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Energy Harvesting from Ambient Vibrations Using Piezoelectric Materials: A Cross-Sectoral Study (2023)", "author": [ { "name": "Dr. Tae-woo Han", "affiliation": "Yonsei University" }, { "name": "Dr. Folake Eze", "affiliation": "University of Lagos" } ], "abstract": "This study investigates bridge-deck vibration sources through the lens of energy harvesting from ambient vibrations using piezoelectric materials. We adopt a comparative case-study approach drawing on 1,558 subjects collected between 2021 and 2023, and apply tunable cantilever array with rectifier circuits to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach average power output of 1.4 mW per device, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in bridge-deck vibration sources. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1441" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1441", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "9", "start_page": "17", "end_page": "34", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "energy harvesting", "piezoelectric", "ambient vibration", "power generation", "MEMS" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Explainable AI for High-Stakes Decision Systems: A Multinational Study (2023)", "author": [ { "name": "Dr. Connor Whitehouse", "affiliation": "McGill University" }, { "name": "Dr. Tao Ma", "affiliation": "Zhejiang University" } ], "abstract": "This study investigates credit risk and clinical triage models through the lens of explainable ai for high-stakes decision systems. We adopt a quasi-experimental design drawing on 725 records collected between 2021 and 2023, and apply SHAP-based local attribution with stability auditing to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 92% expert agreement with model rationales, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in credit risk and clinical triage models. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1442" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1442", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "9", "start_page": "35", "end_page": "49", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "explainable AI", "XAI", "interpretability", "model transparency", "trust" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Hydrogen Fuel Cell Performance Optimization for Heavy-Duty Transport: A Longitudinal Study (2023)", "author": [ { "name": "Dr. Min-jun Yoon", "affiliation": "Yonsei University" }, { "name": "Dr. Hessa Al-Otaibi", "affiliation": "King Abdullah University of Science and Technology" } ], "abstract": "This study investigates long-haul truck powertrains through the lens of hydrogen fuel cell performance optimization for heavy-duty transport. We adopt a systematic review and meta-analysis drawing on 3,478 cases collected between 2021 and 2023, and apply membrane-electrode assembly redesign with thermal control to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach stack efficiency raised to 58%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in long-haul truck powertrains. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1443" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1443", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "9", "start_page": "50", "end_page": "66", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "hydrogen", "fuel cells", "heavy-duty transport", "clean energy", "efficiency" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Curriculum Innovation: Project-Based Learning in Engineering Education: A Comprehensive Study (2023)", "author": [ { "name": "Prof. Eoin Murphy", "affiliation": "University College Dublin" }, { "name": "Dr. Agus Sari", "affiliation": "Gadjah Mada University" } ], "abstract": "This study investigates undergraduate mechanical engineering through the lens of curriculum innovation: project-based learning in engineering education. We adopt a comparative case-study approach drawing on 834 subjects collected between 2021 and 2023, and apply two-year curricular redesign with cohort comparison to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach capstone-project quality scores higher by 22%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in undergraduate mechanical engineering. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1444" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1444", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "9", "start_page": "67", "end_page": "81", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "curriculum", "project-based learning", "engineering education", "pedagogy", "innovation" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Mental Health Interventions for Adolescents Using Digital Platforms: A Empirical Study (2023)", "author": [ { "name": "Dr. Yong Kai Wong", "affiliation": "National University of Singapore" }, { "name": "Dr. Rachel Wright", "affiliation": "Yale University" } ], "abstract": "This study investigates school-based prevention programs through the lens of mental health interventions for adolescents using digital platforms. We adopt a longitudinal cohort study drawing on 818 records collected between 2021 and 2023, and apply randomized controlled trial with 940 participants to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach PHQ-9 scores reduced by 4.2 points at 6 months, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in school-based prevention programs. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1445" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1445", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "9", "start_page": "82", "end_page": "96", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "mental health", "adolescents", "digital health", "CBT", "mobile apps" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Soil Health Indicators for Sustainable Land Management: A Cross-Sectoral Study (2023)", "author": [ { "name": "Dr. Pablo López", "affiliation": "Complutense University of Madrid" }, { "name": "Dr. Sarah King", "affiliation": "Princeton University" } ], "abstract": "This study investigates temperate cropping systems through the lens of soil health indicators for sustainable land management. We adopt a sequential explanatory design drawing on 2,833 participants collected between 2021 and 2023, and apply multi-year sampling with biological-physical-chemical battery to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach minimum dataset of 9 indicators validated, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in temperate cropping systems. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1446" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1446", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "9", "start_page": "97", "end_page": "112", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "soil health", "land management", "agriculture", "ecosystems", "sustainability" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Corporate Governance and Regulatory Compliance in Emerging Markets: A Comprehensive Study (2023)", "author": [ { "name": "Dr. Astrid Lindberg", "affiliation": "Stockholm University" }, { "name": "Dr. Fernando Reyes", "affiliation": "Tecnológico de Monterrey" } ], "abstract": "This study investigates listed firms in Latin America and Southeast Asia through the lens of corporate governance and regulatory compliance in emerging markets. We adopt a comparative case-study approach drawing on 3,507 subjects collected between 2021 and 2023, and apply panel analysis of governance-quality scores to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach compliance-rating upgrades raise market valuation by 6.1%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in listed firms in Latin America and Southeast Asia. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1447" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1447", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "9", "start_page": "113", "end_page": "127", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "corporate governance", "compliance", "emerging markets", "regulation", "accountability" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Recommender Systems Using Hybrid Collaborative and Content-Based Filtering: A Empirical Study (2023)", "author": [ { "name": "Dr. Lerato Khumalo", "affiliation": "Stellenbosch University" }, { "name": "Dr. Valeria Ramírez", "affiliation": "Tecnológico de Monterrey" } ], "abstract": "This study investigates online education catalogs through the lens of recommender systems using hybrid collaborative and content-based filtering. We adopt a sequential explanatory design drawing on 3,332 facilities collected between 2021 and 2023, and apply neural collaborative filtering with content embeddings to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach NDCG@10 improvement of 18% over baseline, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in online education catalogs. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1448" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1448", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "9", "start_page": "128", "end_page": "145", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "recommender systems", "collaborative filtering", "content-based", "hybrid models", "personalization" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Risk Management Frameworks for Financial Services in Volatile Markets: A Longitudinal Study (2023)", "author": [ { "name": "Dr. Conor O'Brien", "affiliation": "University College Cork" }, { "name": "Dr. Saud Al-Saud", "affiliation": "King Abdullah University of Science and Technology" } ], "abstract": "This study investigates mid-size commercial banks through the lens of risk management frameworks for financial services in volatile markets. We adopt a comparative case-study approach drawing on 3,079 facilities collected between 2021 and 2023, and apply Monte-Carlo stress testing under 50,000 macro paths to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach expected-shortfall coverage improved by 19%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in mid-size commercial banks. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1449" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1449", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "9", "start_page": "146", "end_page": "162", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "risk management", "financial services", "volatility", "Basel", "compliance" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Deep Learning for Image Classification in Medical Imaging Applications: A Comparative Study (2023)", "author": [ { "name": "Dr. Noa Friedman", "affiliation": "Tel Aviv University" }, { "name": "Dr. Meera Gupta", "affiliation": "Indian Institute of Science" } ], "abstract": "This study investigates medical imaging through the lens of deep learning for image classification in medical imaging. We adopt a comparative case-study approach drawing on 1,482 instances collected between 2021 and 2023, and apply convolutional neural network ensemble to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 94.6% top-1 accuracy on a held-out test set, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in medical imaging. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1450" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1450", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "10", "start_page": "1", "end_page": "15", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "deep learning", "image classification", "convolutional networks", "feature extraction", "computer vision" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Automated Code Generation Using Sequence-to-Sequence Models: A Empirical Study (2023)", "author": [ { "name": "Dr. Magnus Bergström", "affiliation": "Uppsala University" }, { "name": "Dr. Carlos Reyes", "affiliation": "Tecnológico de Monterrey" } ], "abstract": "This study investigates Python utility functions through the lens of automated code generation using sequence-to-sequence models. We adopt a randomized controlled trial drawing on 514 facilities collected between 2021 and 2023, and apply encoder-decoder transformer fine-tuned on GitHub corpora to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach pass@1 of 41% on a curated benchmark, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in Python utility functions. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1451" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1451", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "10", "start_page": "16", "end_page": "32", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "code generation", "program synthesis", "sequence models", "software engineering", "language models" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Seismic Performance of Reinforced Concrete Structures Under Cyclic Loading: A Cross-Sectoral Study (2023)", "author": [ { "name": "Dr. Javier López", "affiliation": "University of Barcelona" }, { "name": "Dr. Avi Rosenberg", "affiliation": "Weizmann Institute of Science" } ], "abstract": "This study investigates mid-rise residential buildings through the lens of seismic performance of reinforced concrete structures under cyclic loading. We adopt a longitudinal cohort study drawing on 473 experimental units collected between 2021 and 2023, and apply shake-table testing of 1:3 scale specimens to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach drift capacities exceeding code requirements by 22%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in mid-rise residential buildings. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1452" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1452", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "10", "start_page": "33", "end_page": "49", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "seismic engineering", "reinforced concrete", "cyclic loading", "structural dynamics", "earthquake" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Leadership Styles and Employee Engagement: A Cross-Cultural Study: A Cross-Sectoral Study (2023)", "author": [ { "name": "Dr. Pablo Ramírez", "affiliation": "Complutense University of Madrid" }, { "name": "Dr. Niamh McCarthy", "affiliation": "NUI Galway" } ], "abstract": "This study investigates professional-services firms across four countries through the lens of leadership styles and employee engagement: a cross-cultural study. We adopt a mixed-methods design drawing on 3,006 experimental units collected between 2021 and 2023, and apply multilevel regression with cultural moderators to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach transformational leadership β = 0.52 on engagement, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in professional-services firms across four countries. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1453" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1453", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "10", "start_page": "50", "end_page": "65", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "leadership", "employee engagement", "cross-cultural", "HRM", "organizational behavior" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Teacher Professional Development and Student Achievement: A Cross-Sectoral Study (2023)", "author": [ { "name": "Dr. Henry Bramwell", "affiliation": "University of Oxford" }, { "name": "Dr. Rahul Bhatt", "affiliation": "Indian Institute of Science" } ], "abstract": "This study investigates literacy instruction in primary grades through the lens of teacher professional development and student achievement. We adopt a comparative case-study approach drawing on 2,250 records collected between 2021 and 2023, and apply quasi-experimental design with propensity matching to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach reading-fluency gains of 0.31 SD, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in literacy instruction in primary grades. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1454" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1454", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "10", "start_page": "66", "end_page": "81", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "teacher development", "professional learning", "student achievement", "pedagogy", "education policy" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Strategic Innovation in Pharmaceutical and tech sectors: Evidence from Multinational Firms: A Cross-Sectoral Study (2023)", "author": [ { "name": "Dr. Ava Ferguson", "affiliation": "McMaster University" }, { "name": "Prof. Joshua Nelson", "affiliation": "Cornell University" } ], "abstract": "This study investigates pharmaceutical and tech sectors through the lens of strategic innovation in pharmaceutical and tech sectors. We adopt a mixed-methods design drawing on 4,003 records collected between 2021 and 2023, and apply panel regression on 240 firms over six years to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach R&D intensity explains 31% of revenue-growth variance, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in pharmaceutical and tech sectors. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1455" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1455", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "10", "start_page": "82", "end_page": "99", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "strategic management", "innovation", "multinationals", "competitive advantage", "R&D" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Digital Transformation and Organizational Agility: A Comparative Study (2023)", "author": [ { "name": "Dr. Andi Hartono", "affiliation": "Gadjah Mada University" }, { "name": "Dr. Saoirse Kelly", "affiliation": "NUI Galway" } ], "abstract": "This study investigates mid-sized service firms through the lens of digital transformation and organizational agility. We adopt a randomized controlled trial drawing on 622 experimental units collected between 2021 and 2023, and apply longitudinal case-study comparison across 18 organizations to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach agility score gains of 2.3 points on a 7-point scale, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in mid-sized service firms. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1456" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1456", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "10", "start_page": "100", "end_page": "116", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "digital transformation", "organizational agility", "change management", "ICT", "strategy" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Refugee Law and Statelessness in the 21st Century: A Comprehensive Study (2023)", "author": [ { "name": "Prof. Paula López", "affiliation": "University of Barcelona" }, { "name": "Dr. Mia Sutherland", "affiliation": "University of Melbourne" } ], "abstract": "This study investigates protracted displacement contexts through the lens of refugee law and statelessness in the 21st century. We adopt a mixed-methods design drawing on 2,640 records collected between 2021 and 2023, and apply doctrinal review and field interviews in three host states to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach identification of four protection-gap categories, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in protracted displacement contexts. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1457" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1457", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "10", "start_page": "117", "end_page": "131", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "refugee law", "statelessness", "international law", "human rights", "migration" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Wearable Devices for Chronic Disease Monitoring: A Comprehensive Study (2023)", "author": [ { "name": "Dr. Diego Vargas", "affiliation": "Pompeu Fabra University" }, { "name": "Dr. Carlos Aguilar", "affiliation": "Tecnológico de Monterrey" } ], "abstract": "This study investigates type-2 diabetes management through the lens of wearable devices for chronic disease monitoring. We adopt a quasi-experimental design drawing on 2,484 instances collected between 2021 and 2023, and apply continuous-glucose-monitor integration with mobile coaching to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach HbA1c reduction of 0.9% at 24 weeks, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in type-2 diabetes management. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1458" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1458", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "10", "start_page": "132", "end_page": "147", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "wearables", "chronic disease", "remote monitoring", "cardiovascular", "diabetes" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Maternal Health Outcomes in Low-Resource Settings: A Longitudinal Study (2023)", "author": [ { "name": "Prof. Divya Sharma", "affiliation": "Indian Institute of Technology Delhi" }, { "name": "Dr. Bram van der Berg", "affiliation": "Erasmus University Rotterdam" } ], "abstract": "This study investigates rural districts in Sub-Saharan Africa through the lens of maternal health outcomes in low-resource settings. We adopt a sequential explanatory design drawing on 3,498 facilities collected between 2021 and 2023, and apply stepped-wedge cluster trial across 18 facilities to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach obstetric-complication response time halved, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in rural districts in Sub-Saharan Africa. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1459" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1459", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "10", "start_page": "148", "end_page": "163", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "maternal health", "global health", "midwifery", "health systems", "equity" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Explainable AI for High-Stakes Decision Systems: A Comprehensive Study (2023)", "author": [ { "name": "Dr. Gabriel Costa", "affiliation": "Federal University of Rio de Janeiro" }, { "name": "Prof. James Carter", "affiliation": "Carnegie Mellon University" } ], "abstract": "This study investigates credit risk and clinical triage models through the lens of explainable ai for high-stakes decision systems. We adopt a comparative case-study approach drawing on 2,283 observations collected between 2021 and 2023, and apply SHAP-based local attribution with stability auditing to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 92% expert agreement with model rationales, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in credit risk and clinical triage models. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1460" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1460", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "11", "start_page": "1", "end_page": "17", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "explainable AI", "XAI", "interpretability", "model transparency", "trust" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Container Orchestration at Scale: Performance Benchmarks for Cloud-Native Workloads: A Comparative Study (2023)", "author": [ { "name": "Dr. Marek Kowalski", "affiliation": "University of Warsaw" }, { "name": "Dr. Antoine Lefèvre", "affiliation": "INSEAD" } ], "abstract": "This study investigates multi-tenant clusters through the lens of container orchestration at scale: performance benchmarks for cloud-native workloads. We adopt a prospective observational study drawing on 2,622 instances collected between 2021 and 2023, and apply controlled benchmark with synthetic and production traces to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach scheduler throughput of 1,800 pods/min on a 500-node cluster, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in multi-tenant clusters. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1461" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1461", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "11", "start_page": "18", "end_page": "34", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "containers", "Kubernetes", "cloud-native", "performance", "scalability" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Nutritional Interventions for Childhood Obesity Prevention: A Empirical Study (2023)", "author": [ { "name": "Prof. Cian Doyle", "affiliation": "NUI Galway" }, { "name": "Dr. Jun Hao Ng", "affiliation": "Singapore Management University" } ], "abstract": "This study investigates school-meal redesign programs through the lens of nutritional interventions for childhood obesity prevention. We adopt a sequential explanatory design drawing on 2,687 cases collected between 2021 and 2023, and apply cluster-randomized trial with 4,300 children to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach BMI z-score reduction of 0.18 over the study year, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in school-meal redesign programs. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1462" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1462", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "11", "start_page": "35", "end_page": "50", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "nutrition", "childhood obesity", "public health", "intervention", "BMI" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Anomaly Detection in Cybersecurity Using Unsupervised Learning: A Comprehensive Study (2023)", "author": [ { "name": "Dr. Dewi Wijaya", "affiliation": "Gadjah Mada University" }, { "name": "Dr. Valentina Álvarez", "affiliation": "Universidad Austral" } ], "abstract": "This study investigates enterprise network traffic through the lens of anomaly detection in cybersecurity using unsupervised learning. We adopt a longitudinal cohort study drawing on 1,126 cases collected between 2021 and 2023, and apply variational autoencoder with reconstruction-error scoring to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach ROC-AUC of 0.948 on the CICIDS dataset, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in enterprise network traffic. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1463" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1463", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "11", "start_page": "51", "end_page": "67", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "cybersecurity", "anomaly detection", "unsupervised learning", "autoencoders", "intrusion detection" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Data Protection and Privacy Regulation in the Era of Big Data: A Longitudinal Study (2023)", "author": [ { "name": "Dr. Layla Al-Sulaiman", "affiliation": "King Saud University" }, { "name": "Prof. Javier Vargas", "affiliation": "University of Barcelona" } ], "abstract": "This study investigates cross-border personal-data flows through the lens of data protection and privacy regulation in the era of big data. We adopt a prospective observational study drawing on 3,390 facilities collected between 2021 and 2023, and apply comparative legal analysis across 12 jurisdictions to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach convergence on three regulatory archetypes, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in cross-border personal-data flows. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1464" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1464", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "11", "start_page": "68", "end_page": "83", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "data protection", "privacy", "GDPR", "big data", "regulation" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Gender Inequality in the Workplace: A Cross-National Comparison: A Comparative Study (2023)", "author": [ { "name": "Dr. Elsa Eklund", "affiliation": "Uppsala University" }, { "name": "Dr. Isla Beresford", "affiliation": "University of Oxford" } ], "abstract": "This study investigates white-collar employment in 14 countries through the lens of gender inequality in the workplace: a cross-national comparison. We adopt a systematic review and meta-analysis drawing on 623 participants collected between 2021 and 2023, and apply decomposition analysis of wage gaps to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach unexplained-gap component averages 9.4%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in white-collar employment in 14 countries. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1465" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1465", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "11", "start_page": "84", "end_page": "99", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "gender inequality", "workplace", "cross-national", "sociology", "labor" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Strategic Innovation in Pharmaceutical and tech sectors: Evidence from Multinational Firms: A Empirical Study (2023)", "author": [ { "name": "Dr. Grace Sinclair", "affiliation": "Imperial College London" }, { "name": "Dr. Andi Lestari", "affiliation": "Bandung Institute of Technology" } ], "abstract": "This study investigates pharmaceutical and tech sectors through the lens of strategic innovation in pharmaceutical and tech sectors. We adopt a systematic review and meta-analysis drawing on 838 subjects collected between 2021 and 2023, and apply panel regression on 240 firms over six years to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach R&D intensity explains 31% of revenue-growth variance, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in pharmaceutical and tech sectors. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1466" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1466", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "11", "start_page": "100", "end_page": "117", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "strategic management", "innovation", "multinationals", "competitive advantage", "R&D" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Social Media Influence on Political Discourse and Civic Engagement: A Cross-Sectoral Study (2023)", "author": [ { "name": "Dr. Anders Nordström", "affiliation": "Lund University" }, { "name": "Prof. Kamau Otieno", "affiliation": "Moi University" } ], "abstract": "This study investigates national election cycles through the lens of social media influence on political discourse and civic engagement. We adopt a sequential explanatory design drawing on 2,094 experimental units collected between 2021 and 2023, and apply content analysis of 1.2 million social-media posts to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach polarization index correlated with platform-recommendation exposure (r = 0.43), with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in national election cycles. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1467" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1467", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "11", "start_page": "118", "end_page": "135", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "social media", "political discourse", "civic engagement", "public sphere", "communication" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Air Quality Monitoring Networks in Megacities: A Empirical Study (2023)", "author": [ { "name": "Prof. Jack Whitlock", "affiliation": "Australian National University" }, { "name": "Dr. Hao Sun", "affiliation": "Fudan University" } ], "abstract": "This study investigates South Asian and African megacities through the lens of air quality monitoring networks in megacities. We adopt a comparative case-study approach drawing on 3,603 instances collected between 2021 and 2023, and apply low-cost sensor calibration with reference-grade integration to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach PM2.5 measurement uncertainty reduced to ±18%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in South Asian and African megacities. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1468" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1468", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "11", "start_page": "136", "end_page": "150", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "air quality", "megacities", "monitoring", "sensors", "pollution" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Graph Neural Networks for Knowledge Graph Completion: A Comparative Study (2023)", "author": [ { "name": "Dr. Sanne van der Berg", "affiliation": "Utrecht University" }, { "name": "Dr. Chloe O'Brien", "affiliation": "Australian National University" } ], "abstract": "This study investigates biomedical knowledge graphs through the lens of graph neural networks for knowledge graph completion. We adopt a prospective observational study drawing on 3,906 records collected between 2021 and 2023, and apply relational graph convolutional network to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach MRR of 0.612 on FB15k-237, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in biomedical knowledge graphs. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1469" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1469", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "11", "start_page": "151", "end_page": "166", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "graph neural networks", "knowledge graphs", "representation learning", "link prediction", "embeddings" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Computational Fluid Dynamics Analysis of Wind Turbine Blade Optimization: A Multinational Study (2023)", "author": [ { "name": "Dr. Andreas Zimmermann", "affiliation": "University of Freiburg" }, { "name": "Dr. Sofia Russo", "affiliation": "Politecnico di Milano" } ], "abstract": "This study investigates horizontal-axis turbine rotors through the lens of computational fluid dynamics analysis of wind turbine blade optimization. We adopt a longitudinal cohort study drawing on 827 participants collected between 2021 and 2023, and apply RANS-based CFD coupled with a genetic optimizer to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 5.8% gain in annual energy production, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in horizontal-axis turbine rotors. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1470" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1470", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "12", "start_page": "1", "end_page": "17", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "CFD", "wind turbines", "aerodynamics", "blade design", "renewable energy" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Data Protection and Privacy Regulation in the Era of Big Data: A Cross-Sectoral Study (2023)", "author": [ { "name": "Dr. Rana Hassan", "affiliation": "Alexandria University" }, { "name": "Dr. Siti Hidayat", "affiliation": "Bandung Institute of Technology" } ], "abstract": "This study investigates cross-border personal-data flows through the lens of data protection and privacy regulation in the era of big data. We adopt a longitudinal cohort study drawing on 554 participants collected between 2021 and 2023, and apply comparative legal analysis across 12 jurisdictions to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach convergence on three regulatory archetypes, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in cross-border personal-data flows. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1471" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1471", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "12", "start_page": "18", "end_page": "33", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "data protection", "privacy", "GDPR", "big data", "regulation" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Aging Populations and the Future of Social Welfare Systems: A Comprehensive Study (2023)", "author": [ { "name": "Dr. Anna Weber", "affiliation": "University of Freiburg" }, { "name": "Dr. Paula Hernández", "affiliation": "Autonomous University of Madrid" } ], "abstract": "This study investigates OECD pension systems through the lens of aging populations and the future of social welfare systems. We adopt a mixed-methods design drawing on 3,744 subjects collected between 2021 and 2023, and apply actuarial micro-simulation with policy scenarios to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach old-age dependency burden grows by 38% by 2040 under status quo, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in OECD pension systems. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1472" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1472", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "12", "start_page": "34", "end_page": "48", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "aging", "social welfare", "demographics", "public policy", "pensions" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Graph Neural Networks for Knowledge Graph Completion: A Longitudinal Study (2023)", "author": [ { "name": "Dr. Camille Vallée", "affiliation": "École Polytechnique" }, { "name": "Dr. Andrea González", "affiliation": "CINVESTAV" } ], "abstract": "This study investigates biomedical knowledge graphs through the lens of graph neural networks for knowledge graph completion. We adopt a quasi-experimental design drawing on 838 experimental units collected between 2021 and 2023, and apply relational graph convolutional network to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach MRR of 0.612 on FB15k-237, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in biomedical knowledge graphs. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1473" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1473", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "12", "start_page": "49", "end_page": "64", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "graph neural networks", "knowledge graphs", "representation learning", "link prediction", "embeddings" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Customer Relationship Management Analytics for Service Industries: A Multinational Study (2023)", "author": [ { "name": "Dr. William Bramwell", "affiliation": "King's College London" }, { "name": "Dr. Maya Cohen", "affiliation": "Tel Aviv University" } ], "abstract": "This study investigates telecom subscriber bases through the lens of customer relationship management analytics for service industries. We adopt a mixed-methods design drawing on 1,301 experimental units collected between 2021 and 2023, and apply gradient-boosted churn modeling with uplift estimation to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach annual retention savings estimated at USD 12.4 million, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in telecom subscriber bases. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1474" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1474", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "12", "start_page": "65", "end_page": "81", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "CRM", "analytics", "customer retention", "service marketing", "churn" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Effects of Income Inequality on Health and Wellbeing: A Comprehensive Study (2023)", "author": [ { "name": "Dr. Anja Meier", "affiliation": "University of Geneva" }, { "name": "Dr. Lukas Wagner", "affiliation": "Heidelberg University" } ], "abstract": "This study investigates OECD member economies through the lens of effects of income inequality on health and wellbeing. We adopt a systematic review and meta-analysis drawing on 2,492 observations collected between 2021 and 2023, and apply panel regression with country fixed effects to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 1-point Gini increase associated with 0.7% drop in self-rated health, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in OECD member economies. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1475" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1475", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "12", "start_page": "82", "end_page": "98", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "income inequality", "health", "wellbeing", "social determinants", "public policy" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Precision Medicine Approaches in Cancer Treatment: A Cross-Sectoral Study (2023)", "author": [ { "name": "Prof. Mathieu Rousseau", "affiliation": "École Polytechnique" }, { "name": "Dr. Lars Nilsen", "affiliation": "Norwegian University of Science and Technology" } ], "abstract": "This study investigates metastatic colorectal cohorts through the lens of precision medicine approaches in cancer treatment. We adopt a systematic review and meta-analysis drawing on 3,181 observations collected between 2021 and 2023, and apply tumor-mutational profiling with matched-therapy assignment to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach median progression-free survival extended by 4.7 months, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in metastatic colorectal cohorts. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1476" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1476", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "12", "start_page": "99", "end_page": "115", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "precision medicine", "oncology", "genomics", "targeted therapy", "biomarkers" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Urban Migration Patterns and Community Integration: A Comparative Study (2023)", "author": [ { "name": "Dr. Bram Bakker", "affiliation": "Erasmus University Rotterdam" }, { "name": "Dr. Aisha Okafor", "affiliation": "University of Ibadan" } ], "abstract": "This study investigates secondary-city migration corridors through the lens of urban migration patterns and community integration. We adopt a longitudinal cohort study drawing on 1,680 participants collected between 2021 and 2023, and apply longitudinal panel of 4,500 households to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach integration-index gains of 19% with formal-housing access, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in secondary-city migration corridors. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1477" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1477", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "12", "start_page": "116", "end_page": "130", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "urban migration", "community integration", "sociology", "demographics", "social cohesion" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Long-Term Effects of Air Pollution on Respiratory Health: A Comprehensive Study (2023)", "author": [ { "name": "Dr. Iris Hendriks", "affiliation": "Leiden University" }, { "name": "Dr. Florian Hofer", "affiliation": "ETH Zurich" } ], "abstract": "This study investigates urban cohorts in South Asia through the lens of long-term effects of air pollution on respiratory health. We adopt a randomized controlled trial drawing on 2,618 cases collected between 2021 and 2023, and apply 10-year retrospective cohort with exposure modeling to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 10 µg/m³ PM2.5 increase linked to 12% higher COPD incidence, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in urban cohorts in South Asia. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1478" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1478", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "12", "start_page": "131", "end_page": "148", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "air pollution", "respiratory health", "epidemiology", "PM2.5", "pulmonary disease" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Wearable Devices for Chronic Disease Monitoring: A Multinational Study (2023)", "author": [ { "name": "Dr. Hui Lin", "affiliation": "Fudan University" }, { "name": "Dr. Siti Hartono", "affiliation": "Bandung Institute of Technology" } ], "abstract": "This study investigates type-2 diabetes management through the lens of wearable devices for chronic disease monitoring. We adopt a systematic review and meta-analysis drawing on 2,343 instances collected between 2021 and 2023, and apply continuous-glucose-monitor integration with mobile coaching to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach HbA1c reduction of 0.9% at 24 weeks, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in type-2 diabetes management. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2023", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1479" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1479", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "12", "start_page": "149", "end_page": "165", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "wearables", "chronic disease", "remote monitoring", "cardiovascular", "diabetes" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Mental Health Interventions for Adolescents Using Digital Platforms: A Multinational Study (2024)", "author": [ { "name": "Dr. Margaux Rousseau", "affiliation": "Université PSL" }, { "name": "Dr. Dewi Lestari", "affiliation": "Bandung Institute of Technology" } ], "abstract": "This study investigates school-based prevention programs through the lens of mental health interventions for adolescents using digital platforms. We adopt a mixed-methods design drawing on 1,007 records collected between 2022 and 2024, and apply randomized controlled trial with 940 participants to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach PHQ-9 scores reduced by 4.2 points at 6 months, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in school-based prevention programs. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1480" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1480", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "1", "start_page": "1", "end_page": "16", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "mental health", "adolescents", "digital health", "CBT", "mobile apps" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Container Orchestration at Scale: Performance Benchmarks for Cloud-Native Workloads: A Comparative Study (2024)", "author": [ { "name": "Dr. Lena Zimmermann", "affiliation": "Max Planck Institute" }, { "name": "Dr. Connor McKenzie", "affiliation": "McGill University" } ], "abstract": "This study investigates multi-tenant clusters through the lens of container orchestration at scale: performance benchmarks for cloud-native workloads. We adopt a comparative case-study approach drawing on 3,055 facilities collected between 2022 and 2024, and apply controlled benchmark with synthetic and production traces to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach scheduler throughput of 1,800 pods/min on a 500-node cluster, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in multi-tenant clusters. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1481" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1481", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "1", "start_page": "17", "end_page": "33", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "containers", "Kubernetes", "cloud-native", "performance", "scalability" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Thermal Management Strategies for High-Density Data Center Cooling: A Multinational Study (2024)", "author": [ { "name": "Dr. Chiara Ferrari", "affiliation": "Politecnico di Milano" }, { "name": "Dr. Pooja Menon", "affiliation": "Indian Institute of Management Ahmedabad" } ], "abstract": "This study investigates hyperscale facilities through the lens of thermal management strategies for high-density data center cooling. We adopt a sequential explanatory design drawing on 1,487 records collected between 2022 and 2024, and apply two-phase immersion cooling with airflow re-design to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach PUE reduction from 1.42 to 1.13, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in hyperscale facilities. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1482" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1482", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "1", "start_page": "34", "end_page": "48", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "thermal management", "data centers", "cooling", "energy efficiency", "HVAC" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Consumer Behavior in Omnichannel Retail Environments: A Multinational Study (2024)", "author": [ { "name": "Dr. Bongani Sithole", "affiliation": "University of Pretoria" }, { "name": "Dr. Folake Okafor", "affiliation": "University of Ibadan" } ], "abstract": "This study investigates fashion and grocery retail through the lens of consumer behavior in omnichannel retail environments. We adopt a longitudinal cohort study drawing on 4,202 experimental units collected between 2022 and 2024, and apply mixed-methods survey of 1,800 shoppers to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach channel-switching intention reduced by 27% with unified loyalty, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in fashion and grocery retail. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1483" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1483", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "1", "start_page": "49", "end_page": "65", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "consumer behavior", "omnichannel", "retail", "customer experience", "marketing" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Supply Chain Resilience in the Face of Global Disruptions: A Cross-Sectoral Study (2024)", "author": [ { "name": "Dr. Sven Andersen", "affiliation": "University of Oslo" }, { "name": "Dr. Sakura Yoshida", "affiliation": "Tokyo Institute of Technology" } ], "abstract": "This study investigates consumer-electronics supply networks through the lens of supply chain resilience in the face of global disruptions. We adopt a prospective observational study drawing on 4,401 participants collected between 2022 and 2024, and apply structural-equation modeling on 412 firm responses to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach supplier diversification effect size β = 0.41, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in consumer-electronics supply networks. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1484" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1484", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "1", "start_page": "66", "end_page": "80", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "supply chain", "resilience", "risk management", "global trade", "disruption" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Explainable AI for High-Stakes Decision Systems: A Longitudinal Study (2024)", "author": [ { "name": "Dr. Min-jun Jung", "affiliation": "Yonsei University" }, { "name": "Dr. Kari Olsen", "affiliation": "Norwegian Polar Institute" } ], "abstract": "This study investigates credit risk and clinical triage models through the lens of explainable ai for high-stakes decision systems. We adopt a randomized controlled trial drawing on 1,335 cases collected between 2022 and 2024, and apply SHAP-based local attribution with stability auditing to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 92% expert agreement with model rationales, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in credit risk and clinical triage models. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1485" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1485", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "1", "start_page": "81", "end_page": "96", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "explainable AI", "XAI", "interpretability", "model transparency", "trust" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Autonomous Vehicle Perception Systems Using Multi-Sensor Fusion: A Comparative Study (2024)", "author": [ { "name": "Dr. Ananya Menon", "affiliation": "Indian Institute of Technology Bombay" }, { "name": "Dr. Bruno Pereira", "affiliation": "Federal University of Minas Gerais" } ], "abstract": "This study investigates urban driving scenarios through the lens of autonomous vehicle perception systems using multi-sensor fusion. We adopt a quasi-experimental design drawing on 731 instances collected between 2022 and 2024, and apply Kalman-filter fusion of LiDAR, camera, and radar streams to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach object-detection mAP of 0.87 across 12 weather conditions, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in urban driving scenarios. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1486" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1486", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "1", "start_page": "97", "end_page": "114", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "autonomous vehicles", "sensor fusion", "LiDAR", "perception", "robotics" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Antitrust Law in the Age of Digital Platforms: A Multinational Study (2024)", "author": [ { "name": "Dr. Rizky Hartono", "affiliation": "Gadjah Mada University" }, { "name": "Dr. Pei Shan Ng", "affiliation": "Singapore Management University" } ], "abstract": "This study investigates two-sided digital marketplaces through the lens of antitrust law in the age of digital platforms. We adopt a randomized controlled trial drawing on 4,078 facilities collected between 2022 and 2024, and apply economic-modeling-informed legal analysis to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach proposal of three new theories of harm, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in two-sided digital marketplaces. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1487" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1487", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "1", "start_page": "115", "end_page": "131", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "antitrust", "competition law", "digital platforms", "monopoly", "regulation" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Water Resource Management Under Climate Variability: A Multinational Study (2024)", "author": [ { "name": "Dr. Wei Ming Goh", "affiliation": "National University of Singapore" }, { "name": "Dr. Lan Zhou", "affiliation": "Nanjing University" } ], "abstract": "This study investigates transboundary river basins through the lens of water resource management under climate variability. We adopt a sequential explanatory design drawing on 466 instances collected between 2022 and 2024, and apply coupled hydrologic and decision-support modeling to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach cooperative-allocation strategies cut shortage events by 41%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in transboundary river basins. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1488" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1488", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "1", "start_page": "132", "end_page": "148", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "water resources", "climate variability", "hydrology", "drought", "management" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Recommender Systems Using Hybrid Collaborative and Content-Based Filtering: A Empirical Study (2024)", "author": [ { "name": "Prof. Rohit Iyer", "affiliation": "Indian Institute of Science" }, { "name": "Dr. Yossi Shapira", "affiliation": "Hebrew University of Jerusalem" } ], "abstract": "This study investigates online education catalogs through the lens of recommender systems using hybrid collaborative and content-based filtering. We adopt a randomized controlled trial drawing on 1,101 participants collected between 2022 and 2024, and apply neural collaborative filtering with content embeddings to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach NDCG@10 improvement of 18% over baseline, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in online education catalogs. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1489" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1489", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "1", "start_page": "149", "end_page": "166", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "recommender systems", "collaborative filtering", "content-based", "hybrid models", "personalization" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Public Health Interventions for Infectious Disease Control: A Longitudinal Study (2024)", "author": [ { "name": "Dr. Saoirse O'Brien", "affiliation": "University College Dublin" }, { "name": "Dr. Noa Goldstein", "affiliation": "Hebrew University of Jerusalem" } ], "abstract": "This study investigates regional measles outbreaks through the lens of public health interventions for infectious disease control. We adopt a randomized controlled trial drawing on 3,585 observations collected between 2022 and 2024, and apply compartmental modeling with vaccination scenarios to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach outbreak duration shortened by 38% under ring vaccination, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in regional measles outbreaks. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1490" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1490", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "2", "start_page": "1", "end_page": "17", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "public health", "infectious disease", "epidemiology", "vaccination", "surveillance" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Digital Transformation and Organizational Agility: A Multinational Study (2024)", "author": [ { "name": "Dr. Mariana Oliveira", "affiliation": "University of Campinas" }, { "name": "Prof. Lakshmi Krishnan", "affiliation": "Indian Institute of Management Ahmedabad" } ], "abstract": "This study investigates mid-sized service firms through the lens of digital transformation and organizational agility. We adopt a prospective observational study drawing on 1,260 subjects collected between 2022 and 2024, and apply longitudinal case-study comparison across 18 organizations to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach agility score gains of 2.3 points on a 7-point scale, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in mid-sized service firms. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1491" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1491", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "2", "start_page": "18", "end_page": "32", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "digital transformation", "organizational agility", "change management", "ICT", "strategy" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Urban Migration Patterns and Community Integration: A Cross-Sectoral Study (2024)", "author": [ { "name": "Dr. Chiara Esposito", "affiliation": "University of Padua" }, { "name": "Dr. Reem Al-Mutairi", "affiliation": "King Abdullah University of Science and Technology" } ], "abstract": "This study investigates secondary-city migration corridors through the lens of urban migration patterns and community integration. We adopt a comparative case-study approach drawing on 3,883 records collected between 2022 and 2024, and apply longitudinal panel of 4,500 households to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach integration-index gains of 19% with formal-housing access, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in secondary-city migration corridors. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1492" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1492", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "2", "start_page": "33", "end_page": "49", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "urban migration", "community integration", "sociology", "demographics", "social cohesion" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Robotic Process Automation in Manufacturing Quality Control: A Multinational Study (2024)", "author": [ { "name": "Prof. Lan Zhao", "affiliation": "Shanghai Jiao Tong University" }, { "name": "Dr. Martín Benítez", "affiliation": "National University of Córdoba" } ], "abstract": "This study investigates automotive assembly lines through the lens of robotic process automation in manufacturing quality control. We adopt a randomized controlled trial drawing on 3,789 cases collected between 2022 and 2024, and apply vision-guided cobot inspection cells to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach defect-escape rate reduced by 64%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in automotive assembly lines. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1493" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1493", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "2", "start_page": "50", "end_page": "64", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "robotics", "manufacturing", "quality control", "automation", "industry 4.0" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Water Resource Management Under Climate Variability: A Longitudinal Study (2024)", "author": [ { "name": "Prof. Aditya Subramanian", "affiliation": "Indian Institute of Management Ahmedabad" }, { "name": "Prof. Niamh McCarthy", "affiliation": "NUI Galway" } ], "abstract": "This study investigates transboundary river basins through the lens of water resource management under climate variability. We adopt a randomized controlled trial drawing on 2,861 experimental units collected between 2022 and 2024, and apply coupled hydrologic and decision-support modeling to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach cooperative-allocation strategies cut shortage events by 41%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in transboundary river basins. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1494" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1494", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "2", "start_page": "65", "end_page": "80", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "water resources", "climate variability", "hydrology", "drought", "management" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Deep Learning for Image Classification in Medical Imaging Applications: A Multinational Study (2024)", "author": [ { "name": "Dr. Chinedu Obi", "affiliation": "Covenant University" }, { "name": "Dr. Nicolas Laurent", "affiliation": "Sorbonne Université" } ], "abstract": "This study investigates medical imaging through the lens of deep learning for image classification in medical imaging. We adopt a quasi-experimental design drawing on 3,883 subjects collected between 2022 and 2024, and apply convolutional neural network ensemble to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 94.6% top-1 accuracy on a held-out test set, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in medical imaging. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1495" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1495", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "2", "start_page": "81", "end_page": "96", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "deep learning", "image classification", "convolutional networks", "feature extraction", "computer vision" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Sustainable Agriculture Practices for Food Security: A Comparative Study (2024)", "author": [ { "name": "Prof. Elsa Forsberg", "affiliation": "Karolinska Institute" }, { "name": "Dr. Elif Aydın", "affiliation": "Bogaziçi University" } ], "abstract": "This study investigates smallholder farms in semi-arid regions through the lens of sustainable agriculture practices for food security. We adopt a sequential explanatory design drawing on 2,668 subjects collected between 2022 and 2024, and apply on-farm trials across 220 sites over four seasons to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach yield-stability index improved by 23%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in smallholder farms in semi-arid regions. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1496" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1496", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "2", "start_page": "97", "end_page": "113", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "sustainable agriculture", "food security", "agroecology", "climate-smart", "yields" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "STEM Education Initiatives for Girls in Underserved Communities: A Longitudinal Study (2024)", "author": [ { "name": "Dr. Roni Rosenberg", "affiliation": "Tel Aviv University" }, { "name": "Dr. Lerato Khumalo", "affiliation": "University of Pretoria" } ], "abstract": "This study investigates rural and peri-urban schools through the lens of stem education initiatives for girls in underserved communities. We adopt a comparative case-study approach drawing on 4,368 participants collected between 2022 and 2024, and apply longitudinal cohort with role-model mentoring to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach STEM-major aspiration rates rose from 18% to 41%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in rural and peri-urban schools. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1497" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1497", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "2", "start_page": "114", "end_page": "128", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "STEM", "gender equity", "education", "girls", "intervention" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Quantum Algorithms for Combinatorial Optimization Problems: A Empirical Study (2024)", "author": [ { "name": "Dr. Matthias Lehmann", "affiliation": "University of Zurich" }, { "name": "Dr. Léa Lefèvre", "affiliation": "Sorbonne Université" } ], "abstract": "This study investigates vehicle routing instances through the lens of quantum algorithms for combinatorial optimization problems. We adopt a quasi-experimental design drawing on 1,461 facilities collected between 2022 and 2024, and apply Quantum Approximate Optimization Algorithm to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach solution quality within 4% of classical optima for small instances, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in vehicle routing instances. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1498" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1498", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "2", "start_page": "129", "end_page": "143", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "quantum computing", "optimization", "QAOA", "NISQ", "combinatorics" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Recommender Systems Using Hybrid Collaborative and Content-Based Filtering: A Cross-Sectoral Study (2024)", "author": [ { "name": "Dr. Ayşe Şahin", "affiliation": "Middle East Technical University" }, { "name": "Dr. Astrid Hansen", "affiliation": "University of Bergen" } ], "abstract": "This study investigates online education catalogs through the lens of recommender systems using hybrid collaborative and content-based filtering. We adopt a comparative case-study approach drawing on 2,383 instances collected between 2022 and 2024, and apply neural collaborative filtering with content embeddings to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach NDCG@10 improvement of 18% over baseline, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in online education catalogs. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1499" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1499", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "2", "start_page": "144", "end_page": "161", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "recommender systems", "collaborative filtering", "content-based", "hybrid models", "personalization" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Maternal Health Outcomes in Low-Resource Settings: A Comparative Study (2024)", "author": [ { "name": "Dr. Marie Weber", "affiliation": "Max Planck Institute" }, { "name": "Dr. Hye-jin Kim", "affiliation": "Hanyang University" } ], "abstract": "This study investigates rural districts in Sub-Saharan Africa through the lens of maternal health outcomes in low-resource settings. We adopt a prospective observational study drawing on 2,556 instances collected between 2022 and 2024, and apply stepped-wedge cluster trial across 18 facilities to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach obstetric-complication response time halved, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in rural districts in Sub-Saharan Africa. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1500" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1500", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "3", "start_page": "1", "end_page": "18", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "maternal health", "global health", "midwifery", "health systems", "equity" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Graph Neural Networks for Knowledge Graph Completion: A Multinational Study (2024)", "author": [ { "name": "Prof. Madison Larocque", "affiliation": "University of Waterloo" }, { "name": "Dr. Femke Visser", "affiliation": "Utrecht University" } ], "abstract": "This study investigates biomedical knowledge graphs through the lens of graph neural networks for knowledge graph completion. We adopt a longitudinal cohort study drawing on 2,638 experimental units collected between 2022 and 2024, and apply relational graph convolutional network to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach MRR of 0.612 on FB15k-237, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in biomedical knowledge graphs. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1501" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1501", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "3", "start_page": "19", "end_page": "36", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "graph neural networks", "knowledge graphs", "representation learning", "link prediction", "embeddings" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Smart Material Composites for Self-Healing Infrastructure: A Comprehensive Study (2024)", "author": [ { "name": "Dr. Priya Iyer", "affiliation": "Indian Institute of Science" }, { "name": "Prof. Isla Carmichael", "affiliation": "University of Cambridge" } ], "abstract": "This study investigates concrete pavement systems through the lens of smart material composites for self-healing infrastructure. We adopt a prospective observational study drawing on 2,106 subjects collected between 2022 and 2024, and apply microcapsule-embedded polymer-modified concrete to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 78% recovery of flexural strength after fracture, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in concrete pavement systems. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1502" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1502", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "3", "start_page": "37", "end_page": "51", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "smart materials", "self-healing", "composites", "infrastructure", "durability" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Constitutional Reforms in Modern Democracies: Comparative Analysis: A Longitudinal Study (2024)", "author": [ { "name": "Dr. Katarzyna Szymański", "affiliation": "Warsaw University of Technology" }, { "name": "Dr. Nour El-Sayed", "affiliation": "Cairo University" } ], "abstract": "This study investigates post-2000 constitutional amendments through the lens of constitutional reforms in modern democracies: comparative analysis. We adopt a longitudinal cohort study drawing on 3,575 subjects collected between 2022 and 2024, and apply comparative typology of 47 reform episodes to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach deliberative-procedure use correlates with reform durability (r = 0.52), with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in post-2000 constitutional amendments. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1503" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1503", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "3", "start_page": "52", "end_page": "66", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "constitutional law", "democracy", "reform", "comparative law", "governance" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Additive Manufacturing of Lightweight Aerospace Components: A Comprehensive Study (2024)", "author": [ { "name": "Dr. Andrew Thompson", "affiliation": "UC Berkeley" }, { "name": "Dr. Saud Al-Saud", "affiliation": "King Saud University" } ], "abstract": "This study investigates titanium bracket geometries through the lens of additive manufacturing of lightweight aerospace components. We adopt a sequential explanatory design drawing on 3,045 observations collected between 2022 and 2024, and apply selective laser melting with topology-optimized lattice infills to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 37% mass reduction with equivalent stiffness, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in titanium bracket geometries. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1504" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1504", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "3", "start_page": "67", "end_page": "81", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "additive manufacturing", "3D printing", "aerospace", "lightweight structures", "topology optimization" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Trust in Institutions in the Digital Age: A Cross-Sectoral Study (2024)", "author": [ { "name": "Dr. Valentina Álvarez", "affiliation": "Universidad Austral" }, { "name": "Prof. Siddharth Krishnan", "affiliation": "Jawaharlal Nehru University" } ], "abstract": "This study investigates European public-opinion surveys through the lens of trust in institutions in the digital age. We adopt a sequential explanatory design drawing on 1,038 subjects collected between 2022 and 2024, and apply multilevel modeling across 24 countries to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach platform-news consumption explains 9% of trust variance, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in European public-opinion surveys. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1505" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1505", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "3", "start_page": "82", "end_page": "96", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "institutional trust", "digital media", "political science", "public opinion", "democracy" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Behavioral Economics of Decision Making Under Uncertainty: A Cross-Sectoral Study (2024)", "author": [ { "name": "Dr. Jennifer Robinson", "affiliation": "Northwestern University" }, { "name": "Dr. Tyler Beaulieu", "affiliation": "McMaster University" } ], "abstract": "This study investigates household financial decisions through the lens of behavioral economics of decision making under uncertainty. We adopt a mixed-methods design drawing on 2,287 observations collected between 2022 and 2024, and apply incentivized lab and field experiments (n = 2,100) to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach loss-aversion coefficient estimated at 2.13, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in household financial decisions. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1506" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1506", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "3", "start_page": "97", "end_page": "114", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "behavioral economics", "decision making", "uncertainty", "heuristics", "experiments" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Antitrust Law in the Age of Digital Platforms: A Cross-Sectoral Study (2024)", "author": [ { "name": "Dr. Sakura Yamamoto", "affiliation": "Waseda University" }, { "name": "Dr. So-yeon Kang", "affiliation": "Seoul National University" } ], "abstract": "This study investigates two-sided digital marketplaces through the lens of antitrust law in the age of digital platforms. We adopt a comparative case-study approach drawing on 313 observations collected between 2022 and 2024, and apply economic-modeling-informed legal analysis to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach proposal of three new theories of harm, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in two-sided digital marketplaces. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1507" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1507", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "3", "start_page": "115", "end_page": "130", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "antitrust", "competition law", "digital platforms", "monopoly", "regulation" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Digital Transformation and Organizational Agility: A Comprehensive Study (2024)", "author": [ { "name": "Dr. Pieter Bakker", "affiliation": "University of Amsterdam" }, { "name": "Dr. Piotr Wójcik", "affiliation": "Jagiellonian University" } ], "abstract": "This study investigates mid-sized service firms through the lens of digital transformation and organizational agility. We adopt a sequential explanatory design drawing on 3,201 subjects collected between 2022 and 2024, and apply longitudinal case-study comparison across 18 organizations to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach agility score gains of 2.3 points on a 7-point scale, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in mid-sized service firms. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1508" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1508", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "3", "start_page": "131", "end_page": "148", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "digital transformation", "organizational agility", "change management", "ICT", "strategy" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Water Resource Management Under Climate Variability: A Empirical Study (2024)", "author": [ { "name": "Prof. Nora Steiner", "affiliation": "EPFL" }, { "name": "Dr. Jun Hao Chua", "affiliation": "National University of Singapore" } ], "abstract": "This study investigates transboundary river basins through the lens of water resource management under climate variability. We adopt a quasi-experimental design drawing on 1,990 instances collected between 2022 and 2024, and apply coupled hydrologic and decision-support modeling to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach cooperative-allocation strategies cut shortage events by 41%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in transboundary river basins. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1509" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1509", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "3", "start_page": "149", "end_page": "163", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "water resources", "climate variability", "hydrology", "drought", "management" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Constitutional Reforms in Modern Democracies: Comparative Analysis: A Empirical Study (2024)", "author": [ { "name": "Dr. Anna Müller", "affiliation": "RWTH Aachen University" }, { "name": "Dr. Ji-hoon Lim", "affiliation": "Hanyang University" } ], "abstract": "This study investigates post-2000 constitutional amendments through the lens of constitutional reforms in modern democracies: comparative analysis. We adopt a longitudinal cohort study drawing on 2,000 participants collected between 2022 and 2024, and apply comparative typology of 47 reform episodes to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach deliberative-procedure use correlates with reform durability (r = 0.52), with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in post-2000 constitutional amendments. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1510" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1510", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "4", "start_page": "1", "end_page": "15", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "constitutional law", "democracy", "reform", "comparative law", "governance" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Natural Language Processing Techniques for Low-Resource Language Translation: A Cross-Sectoral Study (2024)", "author": [ { "name": "Dr. Camila Rodrigues", "affiliation": "University of Campinas" }, { "name": "Dr. Julia Hofer", "affiliation": "EPFL" } ], "abstract": "This study investigates African and South Asian languages through the lens of natural language processing techniques for low-resource language translation. We adopt a sequential explanatory design drawing on 1,347 subjects collected between 2022 and 2024, and apply transformer with cross-lingual transfer to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach +6.4 BLEU over the baseline, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in African and South Asian languages. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1511" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1511", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "4", "start_page": "16", "end_page": "32", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "NLP", "low-resource languages", "machine translation", "transfer learning", "multilingual models" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Deep Learning for Image Classification in Medical Imaging Applications: A Comprehensive Study (2024)", "author": [ { "name": "Dr. Élodie Vallée", "affiliation": "École Polytechnique" }, { "name": "Prof. Julia Keller", "affiliation": "ETH Zurich" } ], "abstract": "This study investigates medical imaging through the lens of deep learning for image classification in medical imaging. We adopt a quasi-experimental design drawing on 3,060 records collected between 2022 and 2024, and apply convolutional neural network ensemble to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 94.6% top-1 accuracy on a held-out test set, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in medical imaging. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1512" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1512", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "4", "start_page": "33", "end_page": "50", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "deep learning", "image classification", "convolutional networks", "feature extraction", "computer vision" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Teacher Professional Development and Student Achievement: A Multinational Study (2024)", "author": [ { "name": "Dr. Thandi Naidoo", "affiliation": "University of Pretoria" }, { "name": "Dr. Aisha Okafor", "affiliation": "University of Ibadan" } ], "abstract": "This study investigates literacy instruction in primary grades through the lens of teacher professional development and student achievement. We adopt a longitudinal cohort study drawing on 1,078 participants collected between 2022 and 2024, and apply quasi-experimental design with propensity matching to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach reading-fluency gains of 0.31 SD, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in literacy instruction in primary grades. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1513" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1513", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "4", "start_page": "51", "end_page": "66", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "teacher development", "professional learning", "student achievement", "pedagogy", "education policy" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Sustainable Agriculture Practices for Food Security: A Multinational Study (2024)", "author": [ { "name": "Dr. Emeka Onyekachi", "affiliation": "Covenant University" }, { "name": "Dr. Anders Bergström", "affiliation": "KTH Royal Institute of Technology" } ], "abstract": "This study investigates smallholder farms in semi-arid regions through the lens of sustainable agriculture practices for food security. We adopt a randomized controlled trial drawing on 1,378 records collected between 2022 and 2024, and apply on-farm trials across 220 sites over four seasons to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach yield-stability index improved by 23%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in smallholder farms in semi-arid regions. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1514" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1514", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "4", "start_page": "67", "end_page": "81", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "sustainable agriculture", "food security", "agroecology", "climate-smart", "yields" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Pharmacological Innovations in Treatment of Antibiotic-Resistant Infections: A Empirical Study (2024)", "author": [ { "name": "Dr. So-yeon Lee", "affiliation": "Hanyang University" }, { "name": "Dr. Mustafa Yılmaz", "affiliation": "Istanbul Technical University" } ], "abstract": "This study investigates carbapenem-resistant Enterobacterales through the lens of pharmacological innovations in treatment of antibiotic-resistant infections. We adopt a randomized controlled trial drawing on 3,794 instances collected between 2022 and 2024, and apply in-vitro screening of 1,200 compound candidates to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach two lead compounds with MIC ≤ 1 µg/mL, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in carbapenem-resistant Enterobacterales. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1515" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1515", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "4", "start_page": "82", "end_page": "98", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "antibiotics", "drug resistance", "pharmacology", "infectious disease", "novel therapeutics" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Antitrust Law in the Age of Digital Platforms: A Comparative Study (2024)", "author": [ { "name": "Dr. Femke Hendriks", "affiliation": "Leiden University" }, { "name": "Dr. Tunde Nwosu", "affiliation": "Obafemi Awolowo University" } ], "abstract": "This study investigates two-sided digital marketplaces through the lens of antitrust law in the age of digital platforms. We adopt a comparative case-study approach drawing on 3,432 observations collected between 2022 and 2024, and apply economic-modeling-informed legal analysis to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach proposal of three new theories of harm, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in two-sided digital marketplaces. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1516" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1516", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "4", "start_page": "99", "end_page": "113", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "antitrust", "competition law", "digital platforms", "monopoly", "regulation" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Water Resource Management Under Climate Variability: A Cross-Sectoral Study (2024)", "author": [ { "name": "Dr. Magdalena Kamiński", "affiliation": "Warsaw University of Technology" }, { "name": "Dr. Hui Lin Ong", "affiliation": "National University of Singapore" } ], "abstract": "This study investigates transboundary river basins through the lens of water resource management under climate variability. We adopt a quasi-experimental design drawing on 626 subjects collected between 2022 and 2024, and apply coupled hydrologic and decision-support modeling to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach cooperative-allocation strategies cut shortage events by 41%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in transboundary river basins. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1517" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1517", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "4", "start_page": "114", "end_page": "128", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "water resources", "climate variability", "hydrology", "drought", "management" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Social Media Influence on Political Discourse and Civic Engagement: A Comparative Study (2024)", "author": [ { "name": "Dr. Si Ying Lim", "affiliation": "Singapore Management University" }, { "name": "Dr. Bram Janssen", "affiliation": "Leiden University" } ], "abstract": "This study investigates national election cycles through the lens of social media influence on political discourse and civic engagement. We adopt a mixed-methods design drawing on 2,767 facilities collected between 2022 and 2024, and apply content analysis of 1.2 million social-media posts to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach polarization index correlated with platform-recommendation exposure (r = 0.43), with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in national election cycles. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1518" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1518", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "4", "start_page": "129", "end_page": "144", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "social media", "political discourse", "civic engagement", "public sphere", "communication" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Telemedicine Adoption in Rural Communities: Barriers and Enablers: A Comparative Study (2024)", "author": [ { "name": "Dr. Avi Mizrahi", "affiliation": "Hebrew University of Jerusalem" }, { "name": "Dr. Owen Larocque", "affiliation": "Queen's University" } ], "abstract": "This study investigates primary-care clinics in low-density regions through the lens of telemedicine adoption in rural communities: barriers and enablers. We adopt a sequential explanatory design drawing on 2,977 participants collected between 2022 and 2024, and apply mixed-methods evaluation across 24 clinics to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach consultation volumes rose 3.1× over 12 months, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in primary-care clinics in low-density regions. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1519" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1519", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "4", "start_page": "145", "end_page": "162", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "telemedicine", "rural health", "digital health", "healthcare access", "adoption" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Quantum Algorithms for Combinatorial Optimization Problems: A Comprehensive Study (2024)", "author": [ { "name": "Dr. Antoine Marchand", "affiliation": "INSEAD" }, { "name": "Dr. Javier Ramírez", "affiliation": "University of Barcelona" } ], "abstract": "This study investigates vehicle routing instances through the lens of quantum algorithms for combinatorial optimization problems. We adopt a longitudinal cohort study drawing on 2,394 facilities collected between 2022 and 2024, and apply Quantum Approximate Optimization Algorithm to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach solution quality within 4% of classical optima for small instances, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in vehicle routing instances. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1520" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1520", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "5", "start_page": "1", "end_page": "17", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "quantum computing", "optimization", "QAOA", "NISQ", "combinatorics" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Supply Chain Resilience in the Face of Global Disruptions: A Multinational Study (2024)", "author": [ { "name": "Prof. Elena Torres", "affiliation": "Pompeu Fabra University" }, { "name": "Dr. Andi Sari", "affiliation": "Gadjah Mada University" } ], "abstract": "This study investigates consumer-electronics supply networks through the lens of supply chain resilience in the face of global disruptions. We adopt a sequential explanatory design drawing on 4,243 records collected between 2022 and 2024, and apply structural-equation modeling on 412 firm responses to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach supplier diversification effect size β = 0.41, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in consumer-electronics supply networks. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1521" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1521", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "5", "start_page": "18", "end_page": "33", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "supply chain", "resilience", "risk management", "global trade", "disruption" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Effects of Income Inequality on Health and Wellbeing: A Multinational Study (2024)", "author": [ { "name": "Dr. Sofía Fernández", "affiliation": "University of Buenos Aires" }, { "name": "Dr. Maya Levi", "affiliation": "Technion" } ], "abstract": "This study investigates OECD member economies through the lens of effects of income inequality on health and wellbeing. We adopt a systematic review and meta-analysis drawing on 2,351 instances collected between 2022 and 2024, and apply panel regression with country fixed effects to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 1-point Gini increase associated with 0.7% drop in self-rated health, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in OECD member economies. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1522" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1522", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "5", "start_page": "34", "end_page": "48", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "income inequality", "health", "wellbeing", "social determinants", "public policy" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Graph Neural Networks for Knowledge Graph Completion: A Comprehensive Study (2024)", "author": [ { "name": "Dr. Diego López", "affiliation": "Complutense University of Madrid" }, { "name": "Prof. Diego Acosta", "affiliation": "University of Buenos Aires" } ], "abstract": "This study investigates biomedical knowledge graphs through the lens of graph neural networks for knowledge graph completion. We adopt a systematic review and meta-analysis drawing on 1,884 records collected between 2022 and 2024, and apply relational graph convolutional network to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach MRR of 0.612 on FB15k-237, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in biomedical knowledge graphs. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1523" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1523", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "5", "start_page": "49", "end_page": "65", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "graph neural networks", "knowledge graphs", "representation learning", "link prediction", "embeddings" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Curriculum Innovation: Project-Based Learning in Engineering Education: A Multinational Study (2024)", "author": [ { "name": "Dr. Faisal Al-Harbi", "affiliation": "King Fahd University of Petroleum and Minerals" }, { "name": "Dr. Jun Hao Lim", "affiliation": "Singapore Management University" } ], "abstract": "This study investigates undergraduate mechanical engineering through the lens of curriculum innovation: project-based learning in engineering education. We adopt a sequential explanatory design drawing on 2,401 subjects collected between 2022 and 2024, and apply two-year curricular redesign with cohort comparison to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach capstone-project quality scores higher by 22%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in undergraduate mechanical engineering. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1524" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1524", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "5", "start_page": "66", "end_page": "80", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "curriculum", "project-based learning", "engineering education", "pedagogy", "innovation" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Climate Change Adaptation Strategies for Coastal Cities: A Longitudinal Study (2024)", "author": [ { "name": "Dr. Ahmet Aydın", "affiliation": "Bogaziçi University" }, { "name": "Dr. Olumide Adeyemi", "affiliation": "Ahmadu Bello University" } ], "abstract": "This study investigates mid-size coastal municipalities through the lens of climate change adaptation strategies for coastal cities. We adopt a sequential explanatory design drawing on 2,487 records collected between 2022 and 2024, and apply vulnerability-index modeling with adaptation-pathway design to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach prioritized 12 high-leverage adaptation actions, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in mid-size coastal municipalities. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1525" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1525", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "5", "start_page": "81", "end_page": "95", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "climate adaptation", "coastal cities", "sea level rise", "resilience", "urban planning" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Constitutional Reforms in Modern Democracies: Comparative Analysis: A Cross-Sectoral Study (2024)", "author": [ { "name": "Dr. Larissa Silva", "affiliation": "Federal University of Rio de Janeiro" }, { "name": "Dr. Andrea Hernández", "affiliation": "Tecnológico de Monterrey" } ], "abstract": "This study investigates post-2000 constitutional amendments through the lens of constitutional reforms in modern democracies: comparative analysis. We adopt a comparative case-study approach drawing on 2,457 facilities collected between 2022 and 2024, and apply comparative typology of 47 reform episodes to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach deliberative-procedure use correlates with reform durability (r = 0.52), with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in post-2000 constitutional amendments. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1526" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1526", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "5", "start_page": "96", "end_page": "113", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "constitutional law", "democracy", "reform", "comparative law", "governance" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Structural Health Monitoring of Bridges Using Wireless Sensor Networks: A Empirical Study (2024)", "author": [ { "name": "Dr. Mustafa Kaya", "affiliation": "Middle East Technical University" }, { "name": "Dr. Akinyi Odhiambo", "affiliation": "Moi University" } ], "abstract": "This study investigates highway bridge spans through the lens of structural health monitoring of bridges using wireless sensor networks. We adopt a comparative case-study approach drawing on 3,087 cases collected between 2022 and 2024, and apply MEMS-accelerometer mesh with modal-parameter extraction to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach early-warning detection of 3-mm crack growth events, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in highway bridge spans. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1527" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1527", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "5", "start_page": "114", "end_page": "129", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "structural health monitoring", "wireless sensors", "bridges", "civil engineering", "vibration analysis" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "International Human Rights Law in the Context of Climate Change: A Comparative Study (2024)", "author": [ { "name": "Prof. Christopher Thompson", "affiliation": "Cornell University" }, { "name": "Dr. Salma Abdelrahman", "affiliation": "Cairo University" } ], "abstract": "This study investigates small-island and Arctic communities through the lens of international human rights law in the context of climate change. We adopt a comparative case-study approach drawing on 394 participants collected between 2022 and 2024, and apply doctrinal analysis with case-law mapping to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach emerging right-to-stable-climate doctrine identified in 9 jurisdictions, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in small-island and Arctic communities. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1528" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1528", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "5", "start_page": "130", "end_page": "146", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "human rights", "climate change", "international law", "environmental law", "justice" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Long-Term Effects of Air Pollution on Respiratory Health: A Empirical Study (2024)", "author": [ { "name": "Dr. Mariko Kobayashi", "affiliation": "University of Tokyo" }, { "name": "Dr. Mathieu Vallée", "affiliation": "Sorbonne Université" } ], "abstract": "This study investigates urban cohorts in South Asia through the lens of long-term effects of air pollution on respiratory health. We adopt a randomized controlled trial drawing on 1,365 subjects collected between 2022 and 2024, and apply 10-year retrospective cohort with exposure modeling to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 10 µg/m³ PM2.5 increase linked to 12% higher COPD incidence, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in urban cohorts in South Asia. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1529" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1529", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "5", "start_page": "147", "end_page": "161", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "air pollution", "respiratory health", "epidemiology", "PM2.5", "pulmonary disease" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Plastic Pollution in Marine Ecosystems: Sources and Mitigation: A Multinational Study (2024)", "author": [ { "name": "Dr. Ahmet Doğan", "affiliation": "Bogaziçi University" }, { "name": "Dr. Lara Weber", "affiliation": "RWTH Aachen University" } ], "abstract": "This study investigates coastal and pelagic waters through the lens of plastic pollution in marine ecosystems: sources and mitigation. We adopt a mixed-methods design drawing on 2,181 participants collected between 2022 and 2024, and apply isotopic source apportionment of 1,500 samples to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach fishing-gear sources account for 28% of pelagic plastic mass, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in coastal and pelagic waters. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1530" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1530", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "6", "start_page": "1", "end_page": "18", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "plastic pollution", "marine ecosystems", "microplastics", "mitigation", "oceanography" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Social Media Influence on Political Discourse and Civic Engagement: A Empirical Study (2024)", "author": [ { "name": "Prof. Budi Nugroho", "affiliation": "Bandung Institute of Technology" }, { "name": "Dr. Fernando Vásquez", "affiliation": "Tecnológico de Monterrey" } ], "abstract": "This study investigates national election cycles through the lens of social media influence on political discourse and civic engagement. We adopt a comparative case-study approach drawing on 3,212 instances collected between 2022 and 2024, and apply content analysis of 1.2 million social-media posts to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach polarization index correlated with platform-recommendation exposure (r = 0.43), with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in national election cycles. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1531" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1531", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "6", "start_page": "19", "end_page": "36", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "social media", "political discourse", "civic engagement", "public sphere", "communication" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Urban Migration Patterns and Community Integration: A Longitudinal Study (2024)", "author": [ { "name": "Dr. Dewi Hartono", "affiliation": "University of Indonesia" }, { "name": "Dr. Shira Rosenberg", "affiliation": "Weizmann Institute of Science" } ], "abstract": "This study investigates secondary-city migration corridors through the lens of urban migration patterns and community integration. We adopt a longitudinal cohort study drawing on 3,381 facilities collected between 2022 and 2024, and apply longitudinal panel of 4,500 households to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach integration-index gains of 19% with formal-housing access, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in secondary-city migration corridors. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1532" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1532", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "6", "start_page": "37", "end_page": "52", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "urban migration", "community integration", "sociology", "demographics", "social cohesion" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Gender Inequality in the Workplace: A Cross-National Comparison: A Empirical Study (2024)", "author": [ { "name": "Dr. Zeynep Yılmaz", "affiliation": "Bilkent University" }, { "name": "Dr. Maya Shapira", "affiliation": "Tel Aviv University" } ], "abstract": "This study investigates white-collar employment in 14 countries through the lens of gender inequality in the workplace: a cross-national comparison. We adopt a mixed-methods design drawing on 879 participants collected between 2022 and 2024, and apply decomposition analysis of wage gaps to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach unexplained-gap component averages 9.4%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in white-collar employment in 14 countries. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1533" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1533", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "6", "start_page": "53", "end_page": "70", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "gender inequality", "workplace", "cross-national", "sociology", "labor" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Corporate Governance and Regulatory Compliance in Emerging Markets: A Comprehensive Study (2024)", "author": [ { "name": "Dr. Maya Cohen", "affiliation": "Tel Aviv University" }, { "name": "Dr. Astrid Sandberg", "affiliation": "Karolinska Institute" } ], "abstract": "This study investigates listed firms in Latin America and Southeast Asia through the lens of corporate governance and regulatory compliance in emerging markets. We adopt a quasi-experimental design drawing on 1,445 records collected between 2022 and 2024, and apply panel analysis of governance-quality scores to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach compliance-rating upgrades raise market valuation by 6.1%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in listed firms in Latin America and Southeast Asia. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1534" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1534", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "6", "start_page": "71", "end_page": "86", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "corporate governance", "compliance", "emerging markets", "regulation", "accountability" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Air Quality Monitoring Networks in Megacities: A Cross-Sectoral Study (2024)", "author": [ { "name": "Prof. Mathieu Rousseau", "affiliation": "HEC Paris" }, { "name": "Dr. Linnea Holmberg", "affiliation": "Lund University" } ], "abstract": "This study investigates South Asian and African megacities through the lens of air quality monitoring networks in megacities. We adopt a randomized controlled trial drawing on 1,058 experimental units collected between 2022 and 2024, and apply low-cost sensor calibration with reference-grade integration to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach PM2.5 measurement uncertainty reduced to ±18%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in South Asian and African megacities. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1535" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1535", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "6", "start_page": "87", "end_page": "104", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "air quality", "megacities", "monitoring", "sensors", "pollution" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Telemedicine Adoption in Rural Communities: Barriers and Enablers: A Cross-Sectoral Study (2024)", "author": [ { "name": "Dr. Benjamin Bramwell", "affiliation": "University of Edinburgh" }, { "name": "Dr. Layla Al-Sulaiman", "affiliation": "King Fahd University of Petroleum and Minerals" } ], "abstract": "This study investigates primary-care clinics in low-density regions through the lens of telemedicine adoption in rural communities: barriers and enablers. We adopt a mixed-methods design drawing on 572 subjects collected between 2022 and 2024, and apply mixed-methods evaluation across 24 clinics to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach consultation volumes rose 3.1× over 12 months, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in primary-care clinics in low-density regions. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1536" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1536", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "6", "start_page": "105", "end_page": "119", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "telemedicine", "rural health", "digital health", "healthcare access", "adoption" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Effects of Income Inequality on Health and Wellbeing: A Longitudinal Study (2024)", "author": [ { "name": "Dr. Rahul Nair", "affiliation": "Indian Institute of Science" }, { "name": "Dr. Fernando Ramírez", "affiliation": "CINVESTAV" } ], "abstract": "This study investigates OECD member economies through the lens of effects of income inequality on health and wellbeing. We adopt a mixed-methods design drawing on 3,829 subjects collected between 2022 and 2024, and apply panel regression with country fixed effects to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 1-point Gini increase associated with 0.7% drop in self-rated health, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in OECD member economies. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1537" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1537", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "6", "start_page": "120", "end_page": "136", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "income inequality", "health", "wellbeing", "social determinants", "public policy" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Robotic Process Automation in Manufacturing Quality Control: A Cross-Sectoral Study (2024)", "author": [ { "name": "Dr. Sanne Mulder", "affiliation": "University of Amsterdam" }, { "name": "Dr. Eun-ji Yoon", "affiliation": "Seoul National University" } ], "abstract": "This study investigates automotive assembly lines through the lens of robotic process automation in manufacturing quality control. We adopt a randomized controlled trial drawing on 454 subjects collected between 2022 and 2024, and apply vision-guided cobot inspection cells to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach defect-escape rate reduced by 64%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in automotive assembly lines. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1538" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1538", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "6", "start_page": "137", "end_page": "154", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "robotics", "manufacturing", "quality control", "automation", "industry 4.0" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Risk Management Frameworks for Financial Services in Volatile Markets: A Comparative Study (2024)", "author": [ { "name": "Dr. Roni Mizrahi", "affiliation": "Weizmann Institute of Science" }, { "name": "Dr. Bruno Pereira", "affiliation": "University of São Paulo" } ], "abstract": "This study investigates mid-size commercial banks through the lens of risk management frameworks for financial services in volatile markets. We adopt a quasi-experimental design drawing on 4,245 cases collected between 2022 and 2024, and apply Monte-Carlo stress testing under 50,000 macro paths to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach expected-shortfall coverage improved by 19%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in mid-size commercial banks. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1539" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1539", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "6", "start_page": "155", "end_page": "169", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "risk management", "financial services", "volatility", "Basel", "compliance" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Air Quality Monitoring Networks in Megacities: A Empirical Study (2024)", "author": [ { "name": "Dr. Ahmed Nasser", "affiliation": "Cairo University" }, { "name": "Dr. Bo Huang", "affiliation": "Tsinghua University" } ], "abstract": "This study investigates South Asian and African megacities through the lens of air quality monitoring networks in megacities. We adopt a longitudinal cohort study drawing on 2,636 cases collected between 2022 and 2024, and apply low-cost sensor calibration with reference-grade integration to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach PM2.5 measurement uncertainty reduced to ±18%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in South Asian and African megacities. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1540" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1540", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "7", "start_page": "1", "end_page": "18", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "air quality", "megacities", "monitoring", "sensors", "pollution" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Antitrust Law in the Age of Digital Platforms: A Empirical Study (2024)", "author": [ { "name": "Prof. Tyler Whitehouse", "affiliation": "University of British Columbia" }, { "name": "Dr. Folake Obi", "affiliation": "University of Ibadan" } ], "abstract": "This study investigates two-sided digital marketplaces through the lens of antitrust law in the age of digital platforms. We adopt a sequential explanatory design drawing on 3,226 instances collected between 2022 and 2024, and apply economic-modeling-informed legal analysis to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach proposal of three new theories of harm, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in two-sided digital marketplaces. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1541" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1541", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "7", "start_page": "19", "end_page": "36", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "antitrust", "competition law", "digital platforms", "monopoly", "regulation" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Thermal Management Strategies for High-Density Data Center Cooling: A Comparative Study (2024)", "author": [ { "name": "Dr. Lara Wagner", "affiliation": "Max Planck Institute" }, { "name": "Dr. Bram Janssen", "affiliation": "Erasmus University Rotterdam" } ], "abstract": "This study investigates hyperscale facilities through the lens of thermal management strategies for high-density data center cooling. We adopt a mixed-methods design drawing on 2,279 participants collected between 2022 and 2024, and apply two-phase immersion cooling with airflow re-design to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach PUE reduction from 1.42 to 1.13, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in hyperscale facilities. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1542" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1542", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "7", "start_page": "37", "end_page": "52", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "thermal management", "data centers", "cooling", "energy efficiency", "HVAC" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Anomaly Detection in Cybersecurity Using Unsupervised Learning: A Multinational Study (2024)", "author": [ { "name": "Prof. Johan Lindberg", "affiliation": "KTH Royal Institute of Technology" }, { "name": "Dr. Beatriz Ribeiro", "affiliation": "Federal University of Minas Gerais" } ], "abstract": "This study investigates enterprise network traffic through the lens of anomaly detection in cybersecurity using unsupervised learning. We adopt a randomized controlled trial drawing on 4,317 instances collected between 2022 and 2024, and apply variational autoencoder with reconstruction-error scoring to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach ROC-AUC of 0.948 on the CICIDS dataset, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in enterprise network traffic. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1543" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1543", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "7", "start_page": "53", "end_page": "67", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "cybersecurity", "anomaly detection", "unsupervised learning", "autoencoders", "intrusion detection" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Maternal Health Outcomes in Low-Resource Settings: A Comprehensive Study (2024)", "author": [ { "name": "Prof. Hao Huang", "affiliation": "Nanjing University" }, { "name": "Prof. Ananya Chatterjee", "affiliation": "Indian Institute of Management Ahmedabad" } ], "abstract": "This study investigates rural districts in Sub-Saharan Africa through the lens of maternal health outcomes in low-resource settings. We adopt a systematic review and meta-analysis drawing on 2,074 subjects collected between 2022 and 2024, and apply stepped-wedge cluster trial across 18 facilities to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach obstetric-complication response time halved, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in rural districts in Sub-Saharan Africa. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1544" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1544", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "7", "start_page": "68", "end_page": "84", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "maternal health", "global health", "midwifery", "health systems", "equity" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Natural Language Processing Techniques for Low-Resource Language Translation: A Comparative Study (2024)", "author": [ { "name": "Dr. Camille Laurent", "affiliation": "Sorbonne Université" }, { "name": "Dr. Noa Cohen", "affiliation": "Tel Aviv University" } ], "abstract": "This study investigates African and South Asian languages through the lens of natural language processing techniques for low-resource language translation. We adopt a mixed-methods design drawing on 2,441 observations collected between 2022 and 2024, and apply transformer with cross-lingual transfer to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach +6.4 BLEU over the baseline, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in African and South Asian languages. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1545" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1545", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "7", "start_page": "85", "end_page": "100", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "NLP", "low-resource languages", "machine translation", "transfer learning", "multilingual models" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Healthcare Worker Burnout: Predictors and Mitigation Strategies: A Comprehensive Study (2024)", "author": [ { "name": "Dr. Yong Kai Wong", "affiliation": "National University of Singapore" }, { "name": "Dr. Cian Walsh", "affiliation": "University College Dublin" } ], "abstract": "This study investigates tertiary-hospital nursing staff through the lens of healthcare worker burnout: predictors and mitigation strategies. We adopt a randomized controlled trial drawing on 426 cases collected between 2022 and 2024, and apply longitudinal survey with structural-equation modeling to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach psychological-safety climate β = -0.47 on burnout, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in tertiary-hospital nursing staff. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1546" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1546", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "7", "start_page": "101", "end_page": "116", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "burnout", "healthcare workers", "occupational health", "resilience", "wellbeing" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Online Learning Effectiveness in Higher Education During the Post-pandemic Era: A Cross-Sectoral Study (2024)", "author": [ { "name": "Dr. Lakshmi Krishnan", "affiliation": "University of Delhi" }, { "name": "Dr. Javier Martínez", "affiliation": "University of Barcelona" } ], "abstract": "This study investigates post-pandemic through the lens of online learning effectiveness in higher education during the post-pandemic era. We adopt a longitudinal cohort study drawing on 2,010 participants collected between 2022 and 2024, and apply meta-analysis of 142 controlled studies to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach pooled effect size d = 0.21 favoring blended designs, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in post-pandemic. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1547" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1547", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "7", "start_page": "117", "end_page": "134", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "online learning", "higher education", "educational technology", "pedagogy", "outcomes" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Federated Learning for Privacy-Preserving Analytics in Hospital networks: A Multinational Study (2024)", "author": [ { "name": "Dr. Camille Beaumont", "affiliation": "Sorbonne Université" }, { "name": "Dr. Grace Ashworth", "affiliation": "Imperial College London" } ], "abstract": "This study investigates hospital networks through the lens of federated learning for privacy-preserving analytics in hospital networks. We adopt a mixed-methods design drawing on 1,201 records collected between 2022 and 2024, and apply federated averaging with secure aggregation to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach comparable accuracy to centralized training (Δ < 1.5%), with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in hospital networks. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1548" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1548", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "7", "start_page": "135", "end_page": "152", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "federated learning", "privacy", "distributed systems", "differential privacy", "edge computing" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Precision Medicine Approaches in Cancer Treatment: A Cross-Sectoral Study (2024)", "author": [ { "name": "Dr. Maya Rosenberg", "affiliation": "Weizmann Institute of Science" }, { "name": "Dr. Chioma Eze", "affiliation": "Obafemi Awolowo University" } ], "abstract": "This study investigates metastatic colorectal cohorts through the lens of precision medicine approaches in cancer treatment. We adopt a mixed-methods design drawing on 605 records collected between 2022 and 2024, and apply tumor-mutational profiling with matched-therapy assignment to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach median progression-free survival extended by 4.7 months, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in metastatic colorectal cohorts. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1549" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1549", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "7", "start_page": "153", "end_page": "170", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "precision medicine", "oncology", "genomics", "targeted therapy", "biomarkers" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Thermal Management Strategies for High-Density Data Center Cooling: A Empirical Study (2024)", "author": [ { "name": "Dr. Gabriela Vásquez", "affiliation": "CINVESTAV" }, { "name": "Dr. Julien Beaumont", "affiliation": "INSEAD" } ], "abstract": "This study investigates hyperscale facilities through the lens of thermal management strategies for high-density data center cooling. We adopt a prospective observational study drawing on 4,086 observations collected between 2022 and 2024, and apply two-phase immersion cooling with airflow re-design to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach PUE reduction from 1.42 to 1.13, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in hyperscale facilities. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1550" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1550", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "8", "start_page": "1", "end_page": "18", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "thermal management", "data centers", "cooling", "energy efficiency", "HVAC" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Knowledge Management Practices in Distributed Workforces: A Longitudinal Study (2024)", "author": [ { "name": "Dr. Felipe Ribeiro", "affiliation": "University of Campinas" }, { "name": "Dr. Aisha Adeyemi", "affiliation": "Covenant University" } ], "abstract": "This study investigates global software-development teams through the lens of knowledge management practices in distributed workforces. We adopt a longitudinal cohort study drawing on 3,056 observations collected between 2022 and 2024, and apply social-network analysis of 2,400 collaboration links to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach weak-tie communication explains 18% of innovation output, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in global software-development teams. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1551" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1551", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "8", "start_page": "19", "end_page": "33", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "knowledge management", "distributed teams", "remote work", "collaboration", "organizational learning" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Autonomous Vehicle Perception Systems Using Multi-Sensor Fusion: A Longitudinal Study (2024)", "author": [ { "name": "Dr. Charlotte Macarthur", "affiliation": "University of Sydney" }, { "name": "Dr. Léa Lefèvre", "affiliation": "École Polytechnique" } ], "abstract": "This study investigates urban driving scenarios through the lens of autonomous vehicle perception systems using multi-sensor fusion. We adopt a comparative case-study approach drawing on 1,919 cases collected between 2022 and 2024, and apply Kalman-filter fusion of LiDAR, camera, and radar streams to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach object-detection mAP of 0.87 across 12 weather conditions, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in urban driving scenarios. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1552" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1552", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "8", "start_page": "34", "end_page": "51", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "autonomous vehicles", "sensor fusion", "LiDAR", "perception", "robotics" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Air Quality Monitoring Networks in Megacities: A Comprehensive Study (2024)", "author": [ { "name": "Dr. Sipho Sithole", "affiliation": "University of Cape Town" }, { "name": "Dr. Katarzyna Lewandowski", "affiliation": "University of Warsaw" } ], "abstract": "This study investigates South Asian and African megacities through the lens of air quality monitoring networks in megacities. We adopt a randomized controlled trial drawing on 1,537 subjects collected between 2022 and 2024, and apply low-cost sensor calibration with reference-grade integration to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach PM2.5 measurement uncertainty reduced to ±18%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in South Asian and African megacities. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1553" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1553", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "8", "start_page": "52", "end_page": "67", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "air quality", "megacities", "monitoring", "sensors", "pollution" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Wearable Devices for Chronic Disease Monitoring: A Longitudinal Study (2024)", "author": [ { "name": "Dr. Jennifer Anderson", "affiliation": "Princeton University" }, { "name": "Dr. Krzysztof Szymański", "affiliation": "AGH University" } ], "abstract": "This study investigates type-2 diabetes management through the lens of wearable devices for chronic disease monitoring. We adopt a systematic review and meta-analysis drawing on 3,670 participants collected between 2022 and 2024, and apply continuous-glucose-monitor integration with mobile coaching to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach HbA1c reduction of 0.9% at 24 weeks, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in type-2 diabetes management. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1554" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1554", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "8", "start_page": "68", "end_page": "82", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "wearables", "chronic disease", "remote monitoring", "cardiovascular", "diabetes" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Seismic Performance of Reinforced Concrete Structures Under Cyclic Loading: A Comparative Study (2024)", "author": [ { "name": "Dr. Naledi Nkosi", "affiliation": "University of Pretoria" }, { "name": "Dr. Njoroge Kariuki", "affiliation": "Strathmore University" } ], "abstract": "This study investigates mid-rise residential buildings through the lens of seismic performance of reinforced concrete structures under cyclic loading. We adopt a mixed-methods design drawing on 3,799 participants collected between 2022 and 2024, and apply shake-table testing of 1:3 scale specimens to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach drift capacities exceeding code requirements by 22%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in mid-rise residential buildings. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1555" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1555", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "8", "start_page": "83", "end_page": "100", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "seismic engineering", "reinforced concrete", "cyclic loading", "structural dynamics", "earthquake" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Gender Inequality in the Workplace: A Cross-National Comparison: A Cross-Sectoral Study (2024)", "author": [ { "name": "Dr. Aditya Krishnan", "affiliation": "Indian Institute of Technology Madras" }, { "name": "Dr. Stephanie Wright", "affiliation": "Princeton University" } ], "abstract": "This study investigates white-collar employment in 14 countries through the lens of gender inequality in the workplace: a cross-national comparison. We adopt a randomized controlled trial drawing on 1,895 instances collected between 2022 and 2024, and apply decomposition analysis of wage gaps to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach unexplained-gap component averages 9.4%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in white-collar employment in 14 countries. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1556" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1556", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "8", "start_page": "101", "end_page": "118", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "gender inequality", "workplace", "cross-national", "sociology", "labor" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Nutritional Interventions for Childhood Obesity Prevention: A Empirical Study (2024)", "author": [ { "name": "Dr. Eva de Vries", "affiliation": "Utrecht University" }, { "name": "Dr. So-yeon Yoon", "affiliation": "Korea University" } ], "abstract": "This study investigates school-meal redesign programs through the lens of nutritional interventions for childhood obesity prevention. We adopt a sequential explanatory design drawing on 2,266 experimental units collected between 2022 and 2024, and apply cluster-randomized trial with 4,300 children to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach BMI z-score reduction of 0.18 over the study year, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in school-meal redesign programs. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1557" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1557", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "8", "start_page": "119", "end_page": "136", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "nutrition", "childhood obesity", "public health", "intervention", "BMI" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Additive Manufacturing of Lightweight Aerospace Components: A Cross-Sectoral Study (2024)", "author": [ { "name": "Prof. Njoroge Wairimu", "affiliation": "Kenyatta University" }, { "name": "Prof. Mostafa Mahmoud", "affiliation": "Ain Shams University" } ], "abstract": "This study investigates titanium bracket geometries through the lens of additive manufacturing of lightweight aerospace components. We adopt a comparative case-study approach drawing on 4,340 instances collected between 2022 and 2024, and apply selective laser melting with topology-optimized lattice infills to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 37% mass reduction with equivalent stiffness, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in titanium bracket geometries. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1558" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1558", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "8", "start_page": "137", "end_page": "152", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "additive manufacturing", "3D printing", "aerospace", "lightweight structures", "topology optimization" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Cybercrime Legislation and Cross-Border Enforcement Challenges: A Multinational Study (2024)", "author": [ { "name": "Dr. Vikram Nair", "affiliation": "Indian Institute of Management Ahmedabad" }, { "name": "Dr. Isla Pemberton", "affiliation": "University of Cambridge" } ], "abstract": "This study investigates transnational ransomware investigations through the lens of cybercrime legislation and cross-border enforcement challenges. We adopt a systematic review and meta-analysis drawing on 601 facilities collected between 2022 and 2024, and apply case-study analysis of 18 multi-jurisdiction prosecutions to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach average MLAT response time of 14 months identified as primary bottleneck, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in transnational ransomware investigations. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1559" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1559", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "8", "start_page": "153", "end_page": "169", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "cybercrime", "international law", "enforcement", "jurisdiction", "legal frameworks" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Mental Health Interventions for Adolescents Using Digital Platforms: A Empirical Study (2024)", "author": [ { "name": "Dr. Daniel Scott", "affiliation": "Cornell University" }, { "name": "Dr. Khalid Al-Saud", "affiliation": "King Saud University" } ], "abstract": "This study investigates school-based prevention programs through the lens of mental health interventions for adolescents using digital platforms. We adopt a comparative case-study approach drawing on 2,685 facilities collected between 2022 and 2024, and apply randomized controlled trial with 940 participants to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach PHQ-9 scores reduced by 4.2 points at 6 months, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in school-based prevention programs. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1560" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1560", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "9", "start_page": "1", "end_page": "17", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "mental health", "adolescents", "digital health", "CBT", "mobile apps" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Online Learning Effectiveness in Higher Education During the Post-pandemic Era: A Comprehensive Study (2024)", "author": [ { "name": "Dr. Olumide Okafor", "affiliation": "Covenant University" }, { "name": "Dr. Gabriel Souza", "affiliation": "Federal University of Minas Gerais" } ], "abstract": "This study investigates post-pandemic through the lens of online learning effectiveness in higher education during the post-pandemic era. We adopt a systematic review and meta-analysis drawing on 813 facilities collected between 2022 and 2024, and apply meta-analysis of 142 controlled studies to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach pooled effect size d = 0.21 favoring blended designs, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in post-pandemic. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1561" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1561", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "9", "start_page": "18", "end_page": "34", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "online learning", "higher education", "educational technology", "pedagogy", "outcomes" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Seismic Performance of Reinforced Concrete Structures Under Cyclic Loading: A Longitudinal Study (2024)", "author": [ { "name": "Dr. Zoe Sutherland", "affiliation": "University of Queensland" }, { "name": "Prof. Agus Pratama", "affiliation": "Gadjah Mada University" } ], "abstract": "This study investigates mid-rise residential buildings through the lens of seismic performance of reinforced concrete structures under cyclic loading. We adopt a comparative case-study approach drawing on 1,868 cases collected between 2022 and 2024, and apply shake-table testing of 1:3 scale specimens to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach drift capacities exceeding code requirements by 22%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in mid-rise residential buildings. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1562" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1562", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "9", "start_page": "35", "end_page": "50", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "seismic engineering", "reinforced concrete", "cyclic loading", "structural dynamics", "earthquake" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Curriculum Innovation: Project-Based Learning in Engineering Education: A Longitudinal Study (2024)", "author": [ { "name": "Dr. Sven Olsen", "affiliation": "University of Bergen" }, { "name": "Dr. Aoife McCarthy", "affiliation": "University College Dublin" } ], "abstract": "This study investigates undergraduate mechanical engineering through the lens of curriculum innovation: project-based learning in engineering education. We adopt a longitudinal cohort study drawing on 3,505 participants collected between 2022 and 2024, and apply two-year curricular redesign with cohort comparison to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach capstone-project quality scores higher by 22%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in undergraduate mechanical engineering. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1563" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1563", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "9", "start_page": "51", "end_page": "67", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "curriculum", "project-based learning", "engineering education", "pedagogy", "innovation" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Antitrust Law in the Age of Digital Platforms: A Comprehensive Study (2024)", "author": [ { "name": "Dr. Stephanie Nelson", "affiliation": "University of Michigan" }, { "name": "Dr. Lakshmi Bhatt", "affiliation": "Jawaharlal Nehru University" } ], "abstract": "This study investigates two-sided digital marketplaces through the lens of antitrust law in the age of digital platforms. We adopt a sequential explanatory design drawing on 1,625 records collected between 2022 and 2024, and apply economic-modeling-informed legal analysis to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach proposal of three new theories of harm, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in two-sided digital marketplaces. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1564" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1564", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "9", "start_page": "68", "end_page": "85", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "antitrust", "competition law", "digital platforms", "monopoly", "regulation" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Additive Manufacturing of Lightweight Aerospace Components: A Empirical Study (2024)", "author": [ { "name": "Dr. Anja Meier", "affiliation": "ETH Zurich" }, { "name": "Prof. Jack Ashford", "affiliation": "Monash University" } ], "abstract": "This study investigates titanium bracket geometries through the lens of additive manufacturing of lightweight aerospace components. We adopt a comparative case-study approach drawing on 2,606 records collected between 2022 and 2024, and apply selective laser melting with topology-optimized lattice infills to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 37% mass reduction with equivalent stiffness, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in titanium bracket geometries. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1565" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1565", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "9", "start_page": "86", "end_page": "101", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "additive manufacturing", "3D printing", "aerospace", "lightweight structures", "topology optimization" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Explainable AI for High-Stakes Decision Systems: A Multinational Study (2024)", "author": [ { "name": "Dr. Camille Beaumont", "affiliation": "École Polytechnique" }, { "name": "Dr. Yong Lin", "affiliation": "Zhejiang University" } ], "abstract": "This study investigates credit risk and clinical triage models through the lens of explainable ai for high-stakes decision systems. We adopt a longitudinal cohort study drawing on 985 observations collected between 2022 and 2024, and apply SHAP-based local attribution with stability auditing to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 92% expert agreement with model rationales, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in credit risk and clinical triage models. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1566" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1566", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "9", "start_page": "102", "end_page": "116", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "explainable AI", "XAI", "interpretability", "model transparency", "trust" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Strategic Innovation in Pharmaceutical and tech sectors: Evidence from Multinational Firms: A Cross-Sectoral Study (2024)", "author": [ { "name": "Dr. Dewi Pratama", "affiliation": "University of Indonesia" }, { "name": "Dr. Kari Kristiansen", "affiliation": "Norwegian Polar Institute" } ], "abstract": "This study investigates pharmaceutical and tech sectors through the lens of strategic innovation in pharmaceutical and tech sectors. We adopt a randomized controlled trial drawing on 3,158 facilities collected between 2022 and 2024, and apply panel regression on 240 firms over six years to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach R&D intensity explains 31% of revenue-growth variance, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in pharmaceutical and tech sectors. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1567" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1567", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "9", "start_page": "117", "end_page": "134", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "strategic management", "innovation", "multinationals", "competitive advantage", "R&D" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Digital Transformation and Organizational Agility: A Cross-Sectoral Study (2024)", "author": [ { "name": "Prof. Otieno Kariuki", "affiliation": "Kenyatta University" }, { "name": "Dr. Mehmet Yılmaz", "affiliation": "Middle East Technical University" } ], "abstract": "This study investigates mid-sized service firms through the lens of digital transformation and organizational agility. We adopt a longitudinal cohort study drawing on 2,131 experimental units collected between 2022 and 2024, and apply longitudinal case-study comparison across 18 organizations to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach agility score gains of 2.3 points on a 7-point scale, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in mid-sized service firms. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1568" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1568", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "9", "start_page": "135", "end_page": "149", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "digital transformation", "organizational agility", "change management", "ICT", "strategy" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Wearable Devices for Chronic Disease Monitoring: A Comparative Study (2024)", "author": [ { "name": "Dr. Lucas Silva", "affiliation": "Federal University of Rio de Janeiro" }, { "name": "Dr. Liam Ashford", "affiliation": "Australian National University" } ], "abstract": "This study investigates type-2 diabetes management through the lens of wearable devices for chronic disease monitoring. We adopt a sequential explanatory design drawing on 2,360 participants collected between 2022 and 2024, and apply continuous-glucose-monitor integration with mobile coaching to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach HbA1c reduction of 0.9% at 24 weeks, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in type-2 diabetes management. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1569" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1569", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "9", "start_page": "150", "end_page": "165", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "wearables", "chronic disease", "remote monitoring", "cardiovascular", "diabetes" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Container Orchestration at Scale: Performance Benchmarks for Cloud-Native Workloads: A Cross-Sectoral Study (2024)", "author": [ { "name": "Prof. Ingrid Johansen", "affiliation": "University of Bergen" }, { "name": "Dr. Femke de Vries", "affiliation": "Leiden University" } ], "abstract": "This study investigates multi-tenant clusters through the lens of container orchestration at scale: performance benchmarks for cloud-native workloads. We adopt a mixed-methods design drawing on 1,988 experimental units collected between 2022 and 2024, and apply controlled benchmark with synthetic and production traces to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach scheduler throughput of 1,800 pods/min on a 500-node cluster, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in multi-tenant clusters. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1570" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1570", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "10", "start_page": "1", "end_page": "15", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "containers", "Kubernetes", "cloud-native", "performance", "scalability" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Trust in Institutions in the Digital Age: A Empirical Study (2024)", "author": [ { "name": "Dr. Lars Bakker", "affiliation": "Utrecht University" }, { "name": "Dr. Rohit Krishnan", "affiliation": "Indian Institute of Management Ahmedabad" } ], "abstract": "This study investigates European public-opinion surveys through the lens of trust in institutions in the digital age. We adopt a longitudinal cohort study drawing on 4,065 facilities collected between 2022 and 2024, and apply multilevel modeling across 24 countries to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach platform-news consumption explains 9% of trust variance, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in European public-opinion surveys. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1571" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1571", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "10", "start_page": "16", "end_page": "33", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "institutional trust", "digital media", "political science", "public opinion", "democracy" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Additive Manufacturing of Lightweight Aerospace Components: A Multinational Study (2024)", "author": [ { "name": "Dr. Lukas Brunner", "affiliation": "University of Geneva" }, { "name": "Dr. Mia Whitley", "affiliation": "University of New South Wales" } ], "abstract": "This study investigates titanium bracket geometries through the lens of additive manufacturing of lightweight aerospace components. We adopt a prospective observational study drawing on 4,450 participants collected between 2022 and 2024, and apply selective laser melting with topology-optimized lattice infills to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 37% mass reduction with equivalent stiffness, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in titanium bracket geometries. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1572" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1572", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "10", "start_page": "34", "end_page": "51", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "additive manufacturing", "3D printing", "aerospace", "lightweight structures", "topology optimization" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Biodiversity Conservation in Tropical Forest Ecosystems: A Comprehensive Study (2024)", "author": [ { "name": "Dr. Liam McKenzie", "affiliation": "McMaster University" }, { "name": "Prof. Magnus Andersen", "affiliation": "University of Bergen" } ], "abstract": "This study investigates Amazonian and Congo basin reserves through the lens of biodiversity conservation in tropical forest ecosystems. We adopt a longitudinal cohort study drawing on 2,596 subjects collected between 2022 and 2024, and apply camera-trap and acoustic survey across 38 plots to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach species richness 27% higher in community-managed plots, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in Amazonian and Congo basin reserves. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1573" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1573", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "10", "start_page": "52", "end_page": "66", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "biodiversity", "tropical forests", "conservation", "ecology", "ecosystems" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Automated Code Generation Using Sequence-to-Sequence Models: A Longitudinal Study (2024)", "author": [ { "name": "Dr. Yong Liu", "affiliation": "Zhejiang University" }, { "name": "Dr. Cian Ryan", "affiliation": "University College Dublin" } ], "abstract": "This study investigates Python utility functions through the lens of automated code generation using sequence-to-sequence models. We adopt a longitudinal cohort study drawing on 2,414 instances collected between 2022 and 2024, and apply encoder-decoder transformer fine-tuned on GitHub corpora to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach pass@1 of 41% on a curated benchmark, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in Python utility functions. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1574" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1574", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "10", "start_page": "67", "end_page": "82", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "code generation", "program synthesis", "sequence models", "software engineering", "language models" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Computational Fluid Dynamics Analysis of Wind Turbine Blade Optimization: A Cross-Sectoral Study (2024)", "author": [ { "name": "Dr. Grace Pemberton", "affiliation": "King's College London" }, { "name": "Dr. Sipho Nkosi", "affiliation": "University of the Witwatersrand" } ], "abstract": "This study investigates horizontal-axis turbine rotors through the lens of computational fluid dynamics analysis of wind turbine blade optimization. We adopt a randomized controlled trial drawing on 601 facilities collected between 2022 and 2024, and apply RANS-based CFD coupled with a genetic optimizer to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 5.8% gain in annual energy production, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in horizontal-axis turbine rotors. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1575" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1575", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "10", "start_page": "83", "end_page": "98", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "CFD", "wind turbines", "aerodynamics", "blade design", "renewable energy" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Explainable AI for High-Stakes Decision Systems: A Cross-Sectoral Study (2024)", "author": [ { "name": "Dr. Alessandro Galli", "affiliation": "Sapienza University of Rome" }, { "name": "Dr. Zeynep Yılmaz", "affiliation": "Middle East Technical University" } ], "abstract": "This study investigates credit risk and clinical triage models through the lens of explainable ai for high-stakes decision systems. We adopt a mixed-methods design drawing on 4,423 records collected between 2022 and 2024, and apply SHAP-based local attribution with stability auditing to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 92% expert agreement with model rationales, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in credit risk and clinical triage models. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1576" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1576", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "10", "start_page": "99", "end_page": "113", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "explainable AI", "XAI", "interpretability", "model transparency", "trust" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Knowledge Management Practices in Distributed Workforces: A Empirical Study (2024)", "author": [ { "name": "Dr. Chioma Onyekachi", "affiliation": "University of Lagos" }, { "name": "Dr. Reem Al-Sulaiman", "affiliation": "King Saud University" } ], "abstract": "This study investigates global software-development teams through the lens of knowledge management practices in distributed workforces. We adopt a quasi-experimental design drawing on 4,361 records collected between 2022 and 2024, and apply social-network analysis of 2,400 collaboration links to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach weak-tie communication explains 18% of innovation output, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in global software-development teams. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1577" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1577", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "10", "start_page": "114", "end_page": "128", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "knowledge management", "distributed teams", "remote work", "collaboration", "organizational learning" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Data Protection and Privacy Regulation in the Era of Big Data: A Empirical Study (2024)", "author": [ { "name": "Dr. Yuki Yoshida", "affiliation": "University of Tokyo" }, { "name": "Dr. Andrés Vargas", "affiliation": "Pompeu Fabra University" } ], "abstract": "This study investigates cross-border personal-data flows through the lens of data protection and privacy regulation in the era of big data. We adopt a randomized controlled trial drawing on 701 subjects collected between 2022 and 2024, and apply comparative legal analysis across 12 jurisdictions to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach convergence on three regulatory archetypes, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in cross-border personal-data flows. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1578" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1578", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "10", "start_page": "129", "end_page": "144", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "data protection", "privacy", "GDPR", "big data", "regulation" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Inclusive Education Practices for Students with Disabilities: A Multinational Study (2024)", "author": [ { "name": "Prof. Sanne van der Berg", "affiliation": "Leiden University" }, { "name": "Dr. Lucía Acosta", "affiliation": "Universidad Austral" } ], "abstract": "This study investigates secondary mainstream classrooms through the lens of inclusive education practices for students with disabilities. We adopt a comparative case-study approach drawing on 3,362 participants collected between 2022 and 2024, and apply multi-site case study of 22 schools to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach inclusion-climate index improved by 28%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in secondary mainstream classrooms. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1579" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1579", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "10", "start_page": "145", "end_page": "159", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "inclusive education", "disabilities", "accessibility", "special needs", "equity" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Robotic Process Automation in Manufacturing Quality Control: A Comprehensive Study (2024)", "author": [ { "name": "Dr. Isla Thornton", "affiliation": "King's College London" }, { "name": "Dr. Da-eun Choi", "affiliation": "Yonsei University" } ], "abstract": "This study investigates automotive assembly lines through the lens of robotic process automation in manufacturing quality control. We adopt a quasi-experimental design drawing on 215 records collected between 2022 and 2024, and apply vision-guided cobot inspection cells to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach defect-escape rate reduced by 64%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in automotive assembly lines. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1580" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1580", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "11", "start_page": "1", "end_page": "16", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "robotics", "manufacturing", "quality control", "automation", "industry 4.0" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Air Quality Monitoring Networks in Megacities: A Multinational Study (2024)", "author": [ { "name": "Dr. Faisal Al-Sulaiman", "affiliation": "King Saud University" }, { "name": "Dr. Miguel Vásquez", "affiliation": "National Autonomous University of Mexico" } ], "abstract": "This study investigates South Asian and African megacities through the lens of air quality monitoring networks in megacities. We adopt a randomized controlled trial drawing on 779 facilities collected between 2022 and 2024, and apply low-cost sensor calibration with reference-grade integration to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach PM2.5 measurement uncertainty reduced to ±18%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in South Asian and African megacities. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1581" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1581", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "11", "start_page": "17", "end_page": "33", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "air quality", "megacities", "monitoring", "sensors", "pollution" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Anomaly Detection in Cybersecurity Using Unsupervised Learning: A Cross-Sectoral Study (2024)", "author": [ { "name": "Dr. Jun Hao Teo", "affiliation": "Nanyang Technological University" }, { "name": "Dr. Pieter Hendriks", "affiliation": "Leiden University" } ], "abstract": "This study investigates enterprise network traffic through the lens of anomaly detection in cybersecurity using unsupervised learning. We adopt a longitudinal cohort study drawing on 476 cases collected between 2022 and 2024, and apply variational autoencoder with reconstruction-error scoring to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach ROC-AUC of 0.948 on the CICIDS dataset, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in enterprise network traffic. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1582" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1582", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "11", "start_page": "34", "end_page": "48", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "cybersecurity", "anomaly detection", "unsupervised learning", "autoencoders", "intrusion detection" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Teacher Professional Development and Student Achievement: A Longitudinal Study (2024)", "author": [ { "name": "Dr. Ryo Kato", "affiliation": "Tokyo Institute of Technology" }, { "name": "Dr. Salma Mahmoud", "affiliation": "American University in Cairo" } ], "abstract": "This study investigates literacy instruction in primary grades through the lens of teacher professional development and student achievement. We adopt a sequential explanatory design drawing on 974 participants collected between 2022 and 2024, and apply quasi-experimental design with propensity matching to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach reading-fluency gains of 0.31 SD, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in literacy instruction in primary grades. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1583" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1583", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "11", "start_page": "49", "end_page": "66", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "teacher development", "professional learning", "student achievement", "pedagogy", "education policy" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Inclusive Education Practices for Students with Disabilities: A Comparative Study (2024)", "author": [ { "name": "Prof. Otieno Odhiambo", "affiliation": "Strathmore University" }, { "name": "Prof. Si Ying Goh", "affiliation": "Nanyang Technological University" } ], "abstract": "This study investigates secondary mainstream classrooms through the lens of inclusive education practices for students with disabilities. We adopt a comparative case-study approach drawing on 639 observations collected between 2022 and 2024, and apply multi-site case study of 22 schools to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach inclusion-climate index improved by 28%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in secondary mainstream classrooms. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1584" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1584", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "11", "start_page": "67", "end_page": "81", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "inclusive education", "disabilities", "accessibility", "special needs", "equity" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Intellectual Property Rights in Biotechnology and Genetic Research: A Multinational Study (2024)", "author": [ { "name": "Prof. Daniela Ramírez", "affiliation": "CINVESTAV" }, { "name": "Dr. Liam Kingsley", "affiliation": "University of Sydney" } ], "abstract": "This study investigates CRISPR-related patent landscapes through the lens of intellectual property rights in biotechnology and genetic research. We adopt a comparative case-study approach drawing on 3,899 records collected between 2022 and 2024, and apply patent-landscape analytics on 4,200 filings to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach ownership-concentration index Herfindahl 0.31, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in CRISPR-related patent landscapes. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1585" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1585", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "11", "start_page": "82", "end_page": "96", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "intellectual property", "biotechnology", "genetic research", "patents", "innovation" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Thermal Management Strategies for High-Density Data Center Cooling: A Comprehensive Study (2024)", "author": [ { "name": "Dr. Johan Forsberg", "affiliation": "Karolinska Institute" }, { "name": "Dr. Anja Lehmann", "affiliation": "EPFL" } ], "abstract": "This study investigates hyperscale facilities through the lens of thermal management strategies for high-density data center cooling. We adopt a mixed-methods design drawing on 1,200 subjects collected between 2022 and 2024, and apply two-phase immersion cooling with airflow re-design to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach PUE reduction from 1.42 to 1.13, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in hyperscale facilities. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1586" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1586", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "11", "start_page": "97", "end_page": "113", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "thermal management", "data centers", "cooling", "energy efficiency", "HVAC" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Effects of Income Inequality on Health and Wellbeing: A Empirical Study (2024)", "author": [ { "name": "Dr. Julien Vallée", "affiliation": "École Normale Supérieure" }, { "name": "Dr. Jan Kuiper", "affiliation": "University of Amsterdam" } ], "abstract": "This study investigates OECD member economies through the lens of effects of income inequality on health and wellbeing. We adopt a longitudinal cohort study drawing on 3,631 participants collected between 2022 and 2024, and apply panel regression with country fixed effects to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 1-point Gini increase associated with 0.7% drop in self-rated health, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in OECD member economies. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1587" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1587", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "11", "start_page": "114", "end_page": "129", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "income inequality", "health", "wellbeing", "social determinants", "public policy" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Plastic Pollution in Marine Ecosystems: Sources and Mitigation: A Cross-Sectoral Study (2024)", "author": [ { "name": "Dr. Mostafa Fayed", "affiliation": "Cairo University" }, { "name": "Dr. Nicolas Dubois", "affiliation": "École Polytechnique" } ], "abstract": "This study investigates coastal and pelagic waters through the lens of plastic pollution in marine ecosystems: sources and mitigation. We adopt a quasi-experimental design drawing on 1,985 instances collected between 2022 and 2024, and apply isotopic source apportionment of 1,500 samples to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach fishing-gear sources account for 28% of pelagic plastic mass, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in coastal and pelagic waters. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1588" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1588", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "11", "start_page": "130", "end_page": "146", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "plastic pollution", "marine ecosystems", "microplastics", "mitigation", "oceanography" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Constitutional Reforms in Modern Democracies: Comparative Analysis: A Comprehensive Study (2024)", "author": [ { "name": "Dr. Nora Steiner", "affiliation": "University of Geneva" }, { "name": "Dr. Camille Laurent", "affiliation": "HEC Paris" } ], "abstract": "This study investigates post-2000 constitutional amendments through the lens of constitutional reforms in modern democracies: comparative analysis. We adopt a mixed-methods design drawing on 3,545 records collected between 2022 and 2024, and apply comparative typology of 47 reform episodes to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach deliberative-procedure use correlates with reform durability (r = 0.52), with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in post-2000 constitutional amendments. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1589" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1589", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "11", "start_page": "147", "end_page": "162", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "constitutional law", "democracy", "reform", "comparative law", "governance" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Reinforcement Learning Approaches for Adaptive Network Resource Allocation: A Empirical Study (2024)", "author": [ { "name": "Dr. Zeynep Öztürk", "affiliation": "Bilkent University" }, { "name": "Dr. Pablo Hernández", "affiliation": "Autonomous University of Madrid" } ], "abstract": "This study investigates wireless network slicing through the lens of reinforcement learning approaches for adaptive network resource allocation. We adopt a mixed-methods design drawing on 705 experimental units collected between 2022 and 2024, and apply deep Q-network with prioritized replay to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 23% reduction in average packet latency, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in wireless network slicing. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1590" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1590", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "12", "start_page": "1", "end_page": "15", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "reinforcement learning", "networks", "resource allocation", "Q-learning", "optimization" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Gamification in K-12 Classrooms: Engagement and Learning Outcomes: A Comparative Study (2024)", "author": [ { "name": "Dr. Zanele van Wyk", "affiliation": "University of Cape Town" }, { "name": "Dr. Seung-hyun Yoon", "affiliation": "Yonsei University" } ], "abstract": "This study investigates middle-school mathematics through the lens of gamification in k-12 classrooms: engagement and learning outcomes. We adopt a prospective observational study drawing on 1,815 participants collected between 2022 and 2024, and apply randomized trial across 36 classrooms to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach achievement gains of 14% on standardized assessments, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in middle-school mathematics. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1591" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1591", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "12", "start_page": "16", "end_page": "32", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "gamification", "K-12", "engagement", "learning outcomes", "educational games" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Strategic Innovation in Pharmaceutical and tech sectors: Evidence from Multinational Firms: A Empirical Study (2024)", "author": [ { "name": "Prof. Mostafa El-Sayed", "affiliation": "Ain Shams University" }, { "name": "Prof. Diego Quiroga", "affiliation": "Universidad Austral" } ], "abstract": "This study investigates pharmaceutical and tech sectors through the lens of strategic innovation in pharmaceutical and tech sectors. We adopt a quasi-experimental design drawing on 422 cases collected between 2022 and 2024, and apply panel regression on 240 firms over six years to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach R&D intensity explains 31% of revenue-growth variance, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in pharmaceutical and tech sectors. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1592" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1592", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "12", "start_page": "33", "end_page": "47", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "strategic management", "innovation", "multinationals", "competitive advantage", "R&D" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Container Orchestration at Scale: Performance Benchmarks for Cloud-Native Workloads: A Empirical Study (2024)", "author": [ { "name": "Prof. Tomás Romero", "affiliation": "University of Buenos Aires" }, { "name": "Dr. Lucy Fairfax", "affiliation": "Imperial College London" } ], "abstract": "This study investigates multi-tenant clusters through the lens of container orchestration at scale: performance benchmarks for cloud-native workloads. We adopt a longitudinal cohort study drawing on 1,668 participants collected between 2022 and 2024, and apply controlled benchmark with synthetic and production traces to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach scheduler throughput of 1,800 pods/min on a 500-node cluster, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in multi-tenant clusters. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1593" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1593", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "12", "start_page": "48", "end_page": "65", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "containers", "Kubernetes", "cloud-native", "performance", "scalability" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Knowledge Management Practices in Distributed Workforces: A Comprehensive Study (2024)", "author": [ { "name": "Dr. Mustafa Kaya", "affiliation": "Bogaziçi University" }, { "name": "Dr. Aoife Walsh", "affiliation": "University College Dublin" } ], "abstract": "This study investigates global software-development teams through the lens of knowledge management practices in distributed workforces. We adopt a systematic review and meta-analysis drawing on 3,341 participants collected between 2022 and 2024, and apply social-network analysis of 2,400 collaboration links to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach weak-tie communication explains 18% of innovation output, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in global software-development teams. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1594" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1594", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "12", "start_page": "66", "end_page": "81", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "knowledge management", "distributed teams", "remote work", "collaboration", "organizational learning" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Customer Relationship Management Analytics for Service Industries: A Cross-Sectoral Study (2024)", "author": [ { "name": "Dr. Mariko Watanabe", "affiliation": "Hokkaido University" }, { "name": "Dr. Sophia Pelletier", "affiliation": "McMaster University" } ], "abstract": "This study investigates telecom subscriber bases through the lens of customer relationship management analytics for service industries. We adopt a randomized controlled trial drawing on 3,806 instances collected between 2022 and 2024, and apply gradient-boosted churn modeling with uplift estimation to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach annual retention savings estimated at USD 12.4 million, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in telecom subscriber bases. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1595" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1595", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "12", "start_page": "82", "end_page": "99", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "CRM", "analytics", "customer retention", "service marketing", "churn" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Air Quality Monitoring Networks in Megacities: A Comparative Study (2024)", "author": [ { "name": "Dr. Ethan Whitlock", "affiliation": "University of Melbourne" }, { "name": "Dr. Miguel Reyes", "affiliation": "National Autonomous University of Mexico" } ], "abstract": "This study investigates South Asian and African megacities through the lens of air quality monitoring networks in megacities. We adopt a quasi-experimental design drawing on 918 cases collected between 2022 and 2024, and apply low-cost sensor calibration with reference-grade integration to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach PM2.5 measurement uncertainty reduced to ±18%, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in South Asian and African megacities. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1596" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1596", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "12", "start_page": "100", "end_page": "117", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "air quality", "megacities", "monitoring", "sensors", "pollution" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Pharmacological Innovations in Treatment of Antibiotic-Resistant Infections: A Multinational Study (2024)", "author": [ { "name": "Dr. Lars Hansen", "affiliation": "University of Oslo" }, { "name": "Dr. Yossi Katz", "affiliation": "Weizmann Institute of Science" } ], "abstract": "This study investigates carbapenem-resistant Enterobacterales through the lens of pharmacological innovations in treatment of antibiotic-resistant infections. We adopt a mixed-methods design drawing on 701 subjects collected between 2022 and 2024, and apply in-vitro screening of 1,200 compound candidates to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach two lead compounds with MIC ≤ 1 µg/mL, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in carbapenem-resistant Enterobacterales. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1597" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1597", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "12", "start_page": "118", "end_page": "135", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "antibiotics", "drug resistance", "pharmacology", "infectious disease", "novel therapeutics" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Effects of Income Inequality on Health and Wellbeing: A Cross-Sectoral Study (2024)", "author": [ { "name": "Dr. Megan Green", "affiliation": "University of Michigan" }, { "name": "Dr. Nkosi van Wyk", "affiliation": "University of the Witwatersrand" } ], "abstract": "This study investigates OECD member economies through the lens of effects of income inequality on health and wellbeing. We adopt a longitudinal cohort study drawing on 219 instances collected between 2022 and 2024, and apply panel regression with country fixed effects to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach 1-point Gini increase associated with 0.7% drop in self-rated health, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in OECD member economies. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1598" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1598", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "12", "start_page": "136", "end_page": "150", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "income inequality", "health", "wellbeing", "social determinants", "public policy" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Assessment Reform: Authentic Assessment in Higher Education: A Cross-Sectoral Study (2024)", "author": [ { "name": "Dr. Otieno Odhiambo", "affiliation": "Moi University" }, { "name": "Dr. Tao Xu", "affiliation": "Fudan University" } ], "abstract": "This study investigates professional graduate programs through the lens of assessment reform: authentic assessment in higher education. We adopt a sequential explanatory design drawing on 3,953 instances collected between 2022 and 2024, and apply design-based research over four iterations to address open questions in the field. The analysis combines quantitative measurement with rigorous validation procedures, including cross-validation, sensitivity analysis, and robustness checks against established baselines. Our results show that the proposed approach student-perceived learning gains improved by 0.47 SD, with effects that remain stable across plausible specification changes. We interpret these findings in light of contemporary literature, identify boundary conditions under which the results hold, and outline implications for both practitioners and policymakers operating in professional graduate programs. The contribution is threefold: methodological refinement, empirical clarification of disputed mechanisms, and a forward-looking research agenda. Limitations are discussed transparently, and replication materials are provided to support open science.", "year": "2024", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-A1599" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-A1599", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "12", "start_page": "151", "end_page": "168", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "assessment", "authentic assessment", "higher education", "evaluation", "competencies" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Artificial Intelligence in Precision Agriculture: A Systematic Review", "author": [ { "name": "Dr. Rajesh Verma", "affiliation": "Indian Institute of Technology Delhi" }, { "name": "Prof. Sarah Mitchell", "affiliation": "University of Cambridge" } ], "abstract": "This systematic review examines the application of artificial intelligence techniques in precision agriculture, covering crop monitoring, yield prediction, pest detection, and resource optimization. We analyze 150+ studies published between 2019-2023, identifying key trends in deep learning adoption for satellite imagery analysis and IoT-based sensor data processing. Results indicate a 35% improvement in yield prediction accuracy using ensemble methods compared to traditional statistical models.", "year": "2025", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-1" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-1", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "1", "start_page": "1", "end_page": "18", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "artificial intelligence", "precision agriculture", "deep learning", "crop monitoring", "IoT" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Sustainable Urban Transportation: Electric Vehicle Adoption Barriers in Developing Nations", "author": [ { "name": "Dr. Amara Okafor", "affiliation": "University of Lagos" }, { "name": "Dr. Chen Wei", "affiliation": "Tsinghua University" } ], "abstract": "This study investigates the socioeconomic and infrastructural barriers to electric vehicle adoption in developing countries. Through a mixed-methods approach involving surveys of 2,500 urban commuters across Nigeria, India, and Indonesia, we identify charging infrastructure deficit, high upfront costs, and limited model availability as primary deterrents. Policy recommendations for accelerated EV transition in emerging markets are proposed.", "year": "2025", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-2" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-2", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "1", "start_page": "19", "end_page": "34", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "electric vehicles", "sustainable transport", "developing nations", "adoption barriers", "urban mobility" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Blockchain-Based Supply Chain Traceability in Pharmaceutical Industry", "author": [ { "name": "Prof. James O'Brien", "affiliation": "Trinity College Dublin" }, { "name": "Dr. Priya Nair", "affiliation": "Indian Institute of Management Bangalore" } ], "abstract": "This paper proposes a blockchain-based framework for pharmaceutical supply chain traceability, addressing counterfeit drug detection and regulatory compliance. We implement a permissioned Hyperledger Fabric network with smart contracts for drug provenance tracking. Testing with three pharmaceutical distributors in India demonstrates 99.7% accuracy in origin verification and 60% reduction in audit processing time.", "year": "2025", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-3" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-3", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "1", "start_page": "35", "end_page": "50", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "blockchain", "pharmaceutical", "supply chain", "traceability", "smart contracts" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Mental Health Outcomes of Remote Work: A Longitudinal Study During Post-Pandemic Recovery", "author": [ { "name": "Dr. Emma Richardson", "affiliation": "University of Melbourne" }, { "name": "Prof. Takashi Yamamoto", "affiliation": "University of Tokyo" } ], "abstract": "This longitudinal study tracks mental health outcomes of 3,200 remote workers across Australia and Japan over 18 months during post-pandemic recovery. Using validated instruments including PHQ-9 and GAD-7, we find sustained improvements in work-life balance satisfaction but persistent concerns about social isolation and career progression anxiety, particularly among early-career professionals.", "year": "2025", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-4" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-4", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "1", "start_page": "51", "end_page": "66", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "remote work", "mental health", "post-pandemic", "longitudinal study", "work-life balance" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Pedagogical Effectiveness of Gamification in Higher Education STEM Courses", "author": [ { "name": "Dr. Maria Santos", "affiliation": "University of São Paulo" }, { "name": "Prof. Henrik Larsen", "affiliation": "Technical University of Denmark" } ], "abstract": "This experimental study evaluates the impact of gamification strategies on student engagement and learning outcomes in undergraduate STEM courses. A randomized controlled trial involving 480 students across four universities demonstrates a 28% increase in assignment completion rates and 15% improvement in final exam scores when game mechanics are integrated into course design.", "year": "2025", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-5" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-5", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "1", "start_page": "67", "end_page": "80", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "gamification", "higher education", "STEM", "student engagement", "learning outcomes" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Constitutional Challenges of AI-Generated Content in Intellectual Property Law", "author": [ { "name": "Prof. David Goldstein", "affiliation": "Harvard Law School" }, { "name": "Dr. Aisha Khan", "affiliation": "University of Oxford" } ], "abstract": "This paper examines the constitutional and legal challenges posed by AI-generated creative works within existing intellectual property frameworks. Through comparative analysis of US, EU, and UK case law, we argue that current copyright doctrine is fundamentally inadequate for addressing machine-authored content and propose a novel sui generis protection framework.", "year": "2025", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-6" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-6", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "1", "start_page": "81", "end_page": "96", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "artificial intelligence", "intellectual property", "copyright law", "AI-generated content", "legal framework" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Carbon Capture Technologies: Economic Feasibility Assessment for Industrial Applications", "author": [ { "name": "Dr. Klaus Weber", "affiliation": "ETH Zurich" }, { "name": "Prof. Fatima Al-Hassan", "affiliation": "King Abdullah University" } ], "abstract": "This study assesses the economic feasibility of emerging carbon capture and storage technologies for industrial decarbonization. We model cost-benefit scenarios for direct air capture, post-combustion capture, and bioenergy with CCS across cement, steel, and chemical manufacturing sectors. Results indicate that policy support of $85-120/tonne CO2 is necessary for commercial viability by 2030.", "year": "2025", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-7" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-7", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "1", "start_page": "97", "end_page": "114", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "carbon capture", "economic feasibility", "industrial decarbonization", "CCS", "climate change" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Federated Learning for Privacy-Preserving Medical Diagnosis: A Multi-Institutional Study", "author": [ { "name": "Dr. Soo-Hyun Lee", "affiliation": "Seoul National University" }, { "name": "Dr. Roberto Martínez", "affiliation": "Technical University of Madrid" } ], "abstract": "We present a federated learning framework for collaborative medical diagnosis across five hospitals without sharing patient data. Our approach achieves 94.2% diagnostic accuracy for chest X-ray classification, comparable to centralized training while maintaining strict HIPAA and GDPR compliance. The framework reduces data governance overhead by 75% compared to traditional data-sharing agreements.", "year": "2025", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-8" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-8", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "1", "start_page": "115", "end_page": "130", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "federated learning", "medical diagnosis", "privacy", "chest X-ray", "HIPAA" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Graph Neural Networks for Social Network Analysis: Community Detection at Scale", "author": [ { "name": "Prof. Michael Chen", "affiliation": "Stanford University" }, { "name": "Dr. Ananya Gupta", "affiliation": "Indian Institute of Science" } ], "abstract": "This paper presents a novel graph neural network architecture for community detection in large-scale social networks with over 100 million nodes. Our model leverages hierarchical attention mechanisms and graph pooling to identify overlapping communities with 92% normalized mutual information score. Experiments on Twitter, Reddit, and academic collaboration networks demonstrate significant improvements over existing spectral and modularity-based methods.", "year": "2025", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-9" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-9", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "2", "start_page": "1", "end_page": "16", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "graph neural networks", "community detection", "social networks", "attention mechanism", "scalability" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Seismic Resilience of 3D-Printed Concrete Structures: Experimental Investigation", "author": [ { "name": "Dr. Hiroshi Tanaka", "affiliation": "University of Tokyo" }, { "name": "Prof. Isabella Romano", "affiliation": "Politecnico di Milano" } ], "abstract": "This experimental study investigates the seismic performance of 3D-printed concrete structures through shake table tests. Six full-scale specimens printed using different extrusion parameters are tested under varying ground motion intensities. Results reveal that interlayer bonding strength is critical for seismic resilience, with optimized printing parameters achieving lateral drift capacities comparable to conventionally constructed reinforced concrete.", "year": "2025", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-10" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-10", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "2", "start_page": "17", "end_page": "34", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "3D printing", "concrete", "seismic resilience", "shake table", "construction" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Financial Inclusion Through Mobile Banking: Evidence from Sub-Saharan Africa", "author": [ { "name": "Dr. Grace Mwangi", "affiliation": "University of Nairobi" }, { "name": "Prof. Jean-Pierre Dubois", "affiliation": "HEC Paris" } ], "abstract": "Using panel data from 12 Sub-Saharan African countries (2015-2023), this study examines the impact of mobile banking penetration on financial inclusion metrics. We find that a 10% increase in mobile money adoption is associated with a 7.3% reduction in the unbanked population and a 12% increase in small business credit access. Gender-disaggregated analysis reveals disproportionate benefits for women entrepreneurs.", "year": "2025", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-11" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-11", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "2", "start_page": "35", "end_page": "50", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "mobile banking", "financial inclusion", "Sub-Saharan Africa", "mobile money", "gender gap" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "CRISPR-Cas9 Gene Therapy for Sickle Cell Disease: Phase II Clinical Trial Results", "author": [ { "name": "Dr. Adaeze Onyekachi", "affiliation": "Johns Hopkins University" }, { "name": "Prof. Richard Thompson", "affiliation": "University of Edinburgh" } ], "abstract": "We report Phase II clinical trial results of CRISPR-Cas9 based gene therapy for sickle cell disease in 45 patients. At 18-month follow-up, 89% of patients achieved sustained fetal hemoglobin induction above therapeutic thresholds, with 78% experiencing complete resolution of vaso-occlusive crises. Safety profile analysis reveals manageable off-target effects with no serious adverse events related to gene editing.", "year": "2025", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-12" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-12", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "2", "start_page": "51", "end_page": "68", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "CRISPR", "gene therapy", "sickle cell disease", "clinical trial", "hemoglobin" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Digital Divide in K-12 Education: Impact of Device Access on Learning Outcomes", "author": [ { "name": "Dr. Patricia Williams", "affiliation": "University of Michigan" }, { "name": "Dr. Ravi Shankar", "affiliation": "Jawaharlal Nehru University" } ], "abstract": "This mixed-methods study examines the impact of personal device access on K-12 learning outcomes in 2,800 students across urban and rural schools in India and the United States. Findings indicate a 22% achievement gap in standardized test scores between students with reliable device access and those without, with the gap widening in STEM subjects. Community-based intervention models are proposed.", "year": "2025", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-13" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-13", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "2", "start_page": "69", "end_page": "84", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "digital divide", "K-12 education", "device access", "learning outcomes", "STEM education" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Climate Migration and International Refugee Law: Gaps and Reform Proposals", "author": [ { "name": "Prof. Sophie Laurent", "affiliation": "Sciences Po Paris" }, { "name": "Dr. Ahmad Rashid", "affiliation": "University of Dhaka" } ], "abstract": "This paper critically analyzes the gaps in international refugee law regarding climate-induced displacement. Through case studies from Bangladesh, Tuvalu, and Mozambique, we demonstrate that the 1951 Refugee Convention is structurally inadequate for climate migrants. A comprehensive reform framework incorporating the Paris Agreement, Sendai Framework, and Global Compact on Migration is proposed.", "year": "2025", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-14" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-14", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "2", "start_page": "85", "end_page": "100", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "climate migration", "refugee law", "displacement", "Paris Agreement", "international law" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Microplastic Contamination in Arctic Marine Ecosystems: Source Tracking and Ecological Impact", "author": [ { "name": "Dr. Erik Nordström", "affiliation": "Norwegian Polar Institute" }, { "name": "Prof. Yuki Watanabe", "affiliation": "Hokkaido University" } ], "abstract": "This study presents the first comprehensive assessment of microplastic contamination across Arctic marine food webs. Analysis of 4,200 samples from water, sediment, and biota across the Barents and Beaufort Seas reveals microplastic concentrations of 0.3-8.7 particles per liter. Polymer fingerprinting identifies fishing gear degradation and long-range oceanic transport as primary sources, with significant bioaccumulation in Arctic cod and ringed seals.", "year": "2025", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-15" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-15", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "2", "start_page": "101", "end_page": "118", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "microplastics", "Arctic", "marine ecosystems", "bioaccumulation", "pollution" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Quantum Computing Applications in Drug Discovery: Current State and Future Prospects", "author": [ { "name": "Dr. Mikhail Petrov", "affiliation": "Moscow Institute of Physics and Technology" }, { "name": "Prof. Jennifer Walsh", "affiliation": "MIT" } ], "abstract": "This review examines the current state and future potential of quantum computing in pharmaceutical drug discovery. We evaluate quantum algorithms for molecular simulation, protein folding, and virtual screening on current NISQ-era hardware. While demonstrating quantum advantage in certain molecular energy calculations, we identify a 5-7 year timeline before quantum computers can meaningfully accelerate the drug discovery pipeline.", "year": "2025", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-16" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-16", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "2", "start_page": "119", "end_page": "136", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "quantum computing", "drug discovery", "molecular simulation", "NISQ", "pharmaceutical" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Explainable AI in Healthcare Decision Support: A Framework for Clinical Trust", "author": [ { "name": "Dr. Lisa Chang", "affiliation": "National University of Singapore" }, { "name": "Prof. Andreas Müller", "affiliation": "Technical University of Munich" } ], "abstract": "We propose a novel explainable AI framework for clinical decision support systems that generates human-interpretable justifications for diagnostic recommendations. Evaluated across three clinical domains—radiology, pathology, and cardiology—our framework achieves 91% clinician trust acceptance rate while maintaining 96% diagnostic accuracy. The study involves 120 physicians across 15 hospitals in Singapore and Germany.", "year": "2025", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-17" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-17", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "3", "start_page": "1", "end_page": "18", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "explainable AI", "clinical decision support", "healthcare", "trust", "interpretability" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Wind Energy Harvesting in Urban Environments: Micro-Turbine Design Optimization", "author": [ { "name": "Dr. Carlos Mendoza", "affiliation": "National Autonomous University of Mexico" }, { "name": "Prof. Anna Kowalski", "affiliation": "Warsaw University of Technology" } ], "abstract": "This study presents an optimized micro-turbine design for urban wind energy harvesting in low-speed wind conditions. Using computational fluid dynamics simulations validated by wind tunnel experiments, we develop a helical Savonius rotor with 23% higher power coefficient than conventional designs at wind speeds of 3-8 m/s. Urban deployment feasibility is assessed for 50 rooftop installations in Mexico City.", "year": "2025", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-18" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-18", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "3", "start_page": "19", "end_page": "34", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "wind energy", "micro-turbine", "urban environment", "CFD", "renewable energy" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Consumer Trust in AI-Powered Financial Advisory Services", "author": [ { "name": "Prof. Olga Ivanova", "affiliation": "Moscow State University" }, { "name": "Dr. Benjamin Acheampong", "affiliation": "University of Ghana" } ], "abstract": "This cross-cultural study examines consumer trust formation in AI-powered robo-advisory services across emerging and developed markets. Survey data from 4,100 retail investors in Russia, Ghana, South Korea, and Germany reveals that algorithmic transparency and regulatory oversight are the strongest predictors of trust adoption, while prior investment experience moderates the effect of AI anthropomorphism on trust.", "year": "2025", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-19" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-19", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "3", "start_page": "35", "end_page": "50", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "robo-advisory", "consumer trust", "fintech", "AI", "cross-cultural" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Antibiotic Resistance Patterns in Hospital-Acquired Infections: A Ten-Year Surveillance Study", "author": [ { "name": "Dr. Nadia Belmekki", "affiliation": "Mohammed V University" }, { "name": "Prof. John Harrington", "affiliation": "University of Sydney" } ], "abstract": "This ten-year surveillance study (2014-2023) analyzes antibiotic resistance trends in hospital-acquired infections across 28 hospitals in Morocco and Australia. We document a 340% increase in carbapenem-resistant Enterobacteriaceae and a 180% rise in vancomycin-resistant Enterococci. Antibiotic stewardship programs implemented in 2019 are associated with a 15% reduction in resistance acquisition rates.", "year": "2025", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-20" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-20", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "3", "start_page": "51", "end_page": "68", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "antibiotic resistance", "hospital infections", "surveillance", "carbapenem", "stewardship" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Inclusive Education Policy Implementation: Comparative Analysis of Nordic Models", "author": [ { "name": "Dr. Ingrid Bergström", "affiliation": "Uppsala University" }, { "name": "Dr. Matti Virtanen", "affiliation": "University of Helsinki" } ], "abstract": "This comparative policy analysis examines inclusive education implementation across Sweden, Finland, Denmark, and Norway. Through document analysis and interviews with 85 education administrators and 200 teachers, we identify key success factors including teacher training adequacy, resource allocation models, and assessment adaptation practices. Finland's tiered support model emerges as the most effective framework.", "year": "2025", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-21" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-21", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "3", "start_page": "69", "end_page": "84", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "inclusive education", "Nordic models", "policy analysis", "special education", "teacher training" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Data Privacy Regulations in Cross-Border E-Commerce: GDPR vs. CCPA Compliance Challenges", "author": [ { "name": "Dr. Angela Mercer", "affiliation": "Georgetown University" }, { "name": "Prof. Kenji Nakamura", "affiliation": "Waseda University" } ], "abstract": "This paper analyzes compliance challenges for cross-border e-commerce businesses operating under multiple data privacy regimes, focusing on GDPR and CCPA. Through case studies of 25 multinational e-commerce companies and analysis of 150 enforcement actions, we identify key areas of regulatory friction and propose a unified compliance framework reducing legal overhead by 40%.", "year": "2025", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-22" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-22", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "3", "start_page": "85", "end_page": "100", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "data privacy", "GDPR", "CCPA", "e-commerce", "cross-border", "compliance" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Coral Reef Restoration Using Bio-Enhanced Substrates: A Five-Year Field Experiment", "author": [ { "name": "Dr. Maya Fernandez", "affiliation": "University of the Philippines" }, { "name": "Prof. David Atkinson", "affiliation": "James Cook University" } ], "abstract": "This five-year field experiment evaluates bio-enhanced substrate technologies for coral reef restoration in the Coral Triangle. We test three substrate compositions across 12 degraded reef sites in the Philippines and Australia. Bio-enhanced calcium carbonate substrates show 67% higher coral recruitment rates and 45% faster growth compared to conventional concrete substrates, with significant improvements in associated fish biodiversity.", "year": "2025", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-23" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-23", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "3", "start_page": "101", "end_page": "118", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "coral reef", "restoration", "marine biology", "Coral Triangle", "biodiversity" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Edge Computing for Real-Time Autonomous Vehicle Decision Making", "author": [ { "name": "Dr. Thomas Weber", "affiliation": "BMW Group Research" }, { "name": "Prof. Sunita Deshmukh", "affiliation": "Indian Institute of Technology Bombay" } ], "abstract": "We present a distributed edge computing architecture for real-time decision making in Level 4 autonomous vehicles. Our system reduces inference latency to 8ms for object detection and path planning by distributing computation across vehicle edge nodes and roadside units. Field testing across 50,000 km of driving in urban Munich and highway conditions demonstrates a 99.97% decision accuracy rate.", "year": "2025", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-24" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-24", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "3", "start_page": "119", "end_page": "136", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "edge computing", "autonomous vehicles", "real-time systems", "path planning", "object detection" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Transformer Models for Low-Resource Language Machine Translation", "author": [ { "name": "Dr. Blessing Ogundipe", "affiliation": "University of Ibadan" }, { "name": "Prof. Ming-Hsuan Yang", "affiliation": "University of California, Merced" } ], "abstract": "This paper proposes a novel transformer architecture with cross-lingual transfer learning for machine translation of low-resource African languages. We achieve BLEU scores of 34.7 for Yoruba-English and 31.2 for Hausa-English translation, representing 45% and 38% improvements over existing baselines. Our approach leverages multilingual pre-training on 23 African languages with only 50K parallel sentences per language pair.", "year": "2025", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-25" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-25", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "4", "start_page": "1", "end_page": "16", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "machine translation", "transformer", "low-resource languages", "African languages", "NLP" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Hydrogen Fuel Cell Efficiency Enhancement Through Nanostructured Catalysts", "author": [ { "name": "Dr. Min-Jun Park", "affiliation": "Korea Advanced Institute of Science and Technology" }, { "name": "Prof. Catherine Dubois", "affiliation": "École Polytechnique" } ], "abstract": "We report the development of nanostructured platinum-cobalt alloy catalysts for proton exchange membrane fuel cells achieving 30% higher mass activity compared to commercial Pt/C catalysts. The catalyst synthesis uses a template-assisted method producing uniform 3nm nanoparticles. Accelerated durability testing demonstrates 95% activity retention after 30,000 voltage cycles, meeting DOE 2025 targets.", "year": "2025", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-26" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-26", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "4", "start_page": "17", "end_page": "32", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "hydrogen fuel cell", "nanocatalyst", "PEM", "platinum alloy", "clean energy" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "ESG Reporting Quality and Corporate Financial Performance: Global Evidence", "author": [ { "name": "Prof. Margaret O'Sullivan", "affiliation": "London School of Economics" }, { "name": "Dr. Vikram Patel", "affiliation": "Indian School of Business" } ], "abstract": "Using panel data from 2,800 firms across 45 countries (2018-2023), this study examines the relationship between ESG reporting quality and corporate financial performance. We develop a novel ESG disclosure quality index and find that high-quality ESG reporting is associated with a 12% reduction in cost of equity and 8% improvement in Tobin's Q, with effects strongest in stakeholder-oriented economies.", "year": "2025", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-27" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-27", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "4", "start_page": "33", "end_page": "48", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "ESG reporting", "corporate performance", "sustainability", "disclosure quality", "stakeholder theory" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Wearable Biosensors for Continuous Glucose Monitoring: Next-Generation Non-Invasive Approaches", "author": [ { "name": "Dr. Sarah Nguyen", "affiliation": "Johns Hopkins University" }, { "name": "Dr. Arjun Reddy", "affiliation": "All India Institute of Medical Sciences" } ], "abstract": "This review evaluates next-generation non-invasive continuous glucose monitoring technologies including photoacoustic spectroscopy, electromagnetic sensing, and sweat-based biosensors. We compare accuracy, latency, and user comfort metrics across 18 emerging devices against the gold standard finger-prick method. Photoacoustic approaches show the most promise with mean absolute relative difference (MARD) values approaching 10%.", "year": "2025", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-28" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-28", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "4", "start_page": "49", "end_page": "64", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "biosensors", "glucose monitoring", "wearable", "non-invasive", "diabetes" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Multilingual Education in Post-Conflict Societies: Lessons from Rwanda and Bosnia", "author": [ { "name": "Dr. Jean-Claude Habimana", "affiliation": "University of Rwanda" }, { "name": "Prof. Alma Begović", "affiliation": "University of Sarajevo" } ], "abstract": "This comparative case study examines multilingual education policies as tools for social cohesion in post-conflict Rwanda and Bosnia-Herzegovina. Through ethnographic fieldwork in 40 schools and interviews with 150 educators, we find that language-of-instruction policies significantly impact intergroup attitudes. Rwanda's unified Kinyarwanda-English model shows stronger cohesion outcomes than Bosnia's segregated language approach.", "year": "2025", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-29" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-29", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "4", "start_page": "65", "end_page": "80", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "multilingual education", "post-conflict", "social cohesion", "Rwanda", "Bosnia" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Autonomous Weapons Systems and International Humanitarian Law: Accountability Gaps", "author": [ { "name": "Prof. Hans-Peter Schmidt", "affiliation": "University of Geneva" }, { "name": "Dr. Leila Hashemi", "affiliation": "University of Tehran" } ], "abstract": "This paper identifies critical accountability gaps in international humanitarian law regarding the deployment of lethal autonomous weapons systems. Through analysis of the Geneva Conventions, Additional Protocols, and 40 years of IHL jurisprudence, we demonstrate that existing frameworks cannot adequately assign criminal responsibility for autonomous targeting decisions. A proposed Accountability Protocol is presented.", "year": "2025", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-30" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-30", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "4", "start_page": "81", "end_page": "98", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "autonomous weapons", "international humanitarian law", "accountability", "AI ethics", "Geneva Conventions" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Urban Heat Island Mitigation Through Green Infrastructure: A Meta-Analysis", "author": [ { "name": "Dr. Paulo Silva", "affiliation": "University of Lisbon" }, { "name": "Prof. Mei-Ling Zhao", "affiliation": "Peking University" } ], "abstract": "This meta-analysis synthesizes findings from 85 empirical studies on green infrastructure effectiveness for urban heat island mitigation. Analysis covers green roofs, urban forests, permeable pavements, and blue infrastructure across 120 cities globally. Green roofs provide average cooling of 1.5°C at building scale, while urban forests reduce ambient temperatures by up to 3.2°C in adjacent areas. Cost-effectiveness ratios favor urban tree planting.", "year": "2025", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-31" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-31", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "4", "start_page": "99", "end_page": "116", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "urban heat island", "green infrastructure", "meta-analysis", "green roofs", "urban cooling" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Reinforcement Learning for Adaptive Traffic Signal Control: Large-Scale Deployment Results", "author": [ { "name": "Dr. Faisal Ahmed", "affiliation": "Abu Dhabi AI Research Institute" }, { "name": "Prof. Laura Bianchi", "affiliation": "Sapienza University of Rome" } ], "abstract": "We present results from the first large-scale deployment of reinforcement learning-based adaptive traffic signal control across 450 intersections in Abu Dhabi. Over 12 months of operation, the system achieves 23% reduction in average vehicle delay, 18% decrease in emissions, and 15% improvement in pedestrian wait times compared to the previous fixed-time signal plan. Transfer learning enables rapid adaptation to new intersections.", "year": "2025", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-32" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-32", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "4", "start_page": "117", "end_page": "134", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "reinforcement learning", "traffic control", "smart city", "adaptive signals", "urban computing" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Natural Language Processing for Clinical Note De-identification: A Benchmark Study", "author": [ { "name": "Dr. Rachel Green", "affiliation": "Mayo Clinic" }, { "name": "Dr. Vikram Sharma", "affiliation": "AIIMS New Delhi" } ], "abstract": "We establish a comprehensive benchmark for clinical note de-identification using NLP models across six hospital systems. Our fine-tuned clinical BERT model achieves 98.4% recall for protected health information detection, outperforming rule-based and previous ML approaches. The model demonstrates robust performance across diverse clinical specialties and note formats, with particular strength in detecting ambiguous name mentions.", "year": "2025", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-33" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-33", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "5", "start_page": "1", "end_page": "16", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "NLP", "clinical notes", "de-identification", "BERT", "healthcare informatics" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Additive Manufacturing of Titanium Alloys for Aerospace Applications: Fatigue Performance", "author": [ { "name": "Prof. Robert McAllister", "affiliation": "University of Sheffield" }, { "name": "Dr. Yuki Sato", "affiliation": "Japan Aerospace Exploration Agency" } ], "abstract": "This study investigates the fatigue performance of additively manufactured Ti-6Al-4V components for aerospace structural applications. We compare selective laser melting and electron beam melting processes, evaluating the effects of build orientation, post-processing heat treatments, and surface finishing on high-cycle fatigue life. Optimized SLM-produced specimens achieve fatigue limits within 5% of wrought material, enabling qualification for non-critical aerospace structures.", "year": "2025", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-34" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-34", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "5", "start_page": "17", "end_page": "34", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "additive manufacturing", "titanium alloys", "aerospace", "fatigue", "selective laser melting" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Cryptocurrency Regulation and Market Volatility: Cross-Country Panel Analysis", "author": [ { "name": "Dr. Alexander Volkov", "affiliation": "National Research University Higher School of Economics" }, { "name": "Prof. Maria Gonzalez", "affiliation": "IE Business School" } ], "abstract": "This cross-country panel analysis examines how regulatory announcements affect cryptocurrency market volatility across 30 jurisdictions. Using event study methodology on 120 regulatory events (2020-2023), we find that clear regulatory frameworks reduce Bitcoin volatility by 25%, while ambiguous or restrictive announcements increase volatility by 40%. Regulatory clarity, rather than permissiveness, is the key determinant of market stability.", "year": "2025", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-35" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-35", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "5", "start_page": "35", "end_page": "50", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "cryptocurrency", "regulation", "market volatility", "Bitcoin", "fintech policy" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Telehealth Adoption Among Elderly Populations: Barriers and Facilitators", "author": [ { "name": "Dr. Margaret O'Connor", "affiliation": "Royal College of Surgeons in Ireland" }, { "name": "Dr. Kenji Suzuki", "affiliation": "Kyoto University" } ], "abstract": "This qualitative study explores telehealth adoption barriers and facilitators among 280 elderly patients (65+) in Ireland and Japan. Thematic analysis identifies digital literacy, caregiver support availability, and technology interface design as the top three modifiable factors. We propose a co-designed telehealth interface incorporating large buttons, voice commands, and simplified navigation that improves usability scores by 60% among elderly users.", "year": "2025", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-36" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-36", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "5", "start_page": "51", "end_page": "66", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "telehealth", "elderly", "digital health", "usability", "geriatrics" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "AI-Driven Personalized Learning Pathways: Effectiveness in K-12 Mathematics", "author": [ { "name": "Prof. Susan Taylor", "affiliation": "Columbia University" }, { "name": "Dr. Aditya Krishnan", "affiliation": "Indian Institute of Technology Madras" } ], "abstract": "We evaluate an AI-driven adaptive learning platform for personalized mathematics instruction across 60 K-12 schools in the United States and India. Randomized controlled trial results from 5,400 students show 31% improvement in mathematical reasoning scores and 45% reduction in time-to-mastery for students using personalized pathways compared to traditional instruction. Effects are largest for students initially performing below grade level.", "year": "2025", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-37" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-37", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "5", "start_page": "67", "end_page": "82", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "AI education", "personalized learning", "K-12", "mathematics", "adaptive learning" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Digital Evidence Authentication in Criminal Proceedings: Forensic Standards and Legal Admissibility", "author": [ { "name": "Dr. William Fraser", "affiliation": "University of Edinburgh" }, { "name": "Prof. Ana María Delgado", "affiliation": "University of Barcelona" } ], "abstract": "This paper examines the evolving standards for digital evidence authentication in criminal proceedings across common law and civil law jurisdictions. Analysis of 200 court decisions reveals significant inconsistencies in admissibility standards for social media evidence, cloud-stored data, and AI-processed evidence. A unified forensic authentication framework compatible with both legal traditions is proposed.", "year": "2025", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-38" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-38", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "5", "start_page": "83", "end_page": "98", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "digital evidence", "forensic computing", "criminal law", "admissibility", "authentication" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Mangrove Ecosystem Restoration and Blue Carbon Sequestration: Economic Valuation", "author": [ { "name": "Dr. Nguyen Van Thanh", "affiliation": "Vietnam National University" }, { "name": "Prof. Caroline Hughes", "affiliation": "University of Queensland" } ], "abstract": "This study provides the first comprehensive economic valuation of mangrove restoration for blue carbon sequestration in Southeast Asia. Field measurements across 35 restored mangrove sites in Vietnam, Indonesia, and the Philippines estimate average carbon sequestration of 8.4 tonnes CO2/hectare/year. Cost-benefit analysis demonstrates a 4:1 return on investment over 25 years when co-benefits including coastal protection and fisheries enhancement are included.", "year": "2025", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-39" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-39", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "5", "start_page": "99", "end_page": "116", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "mangrove restoration", "blue carbon", "economic valuation", "Southeast Asia", "coastal ecosystems" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Large Language Models for Code Generation: Security Vulnerability Analysis", "author": [ { "name": "Dr. Pavel Novák", "affiliation": "Czech Technical University" }, { "name": "Prof. Diana Martinez", "affiliation": "Carnegie Mellon University" } ], "abstract": "We conduct a systematic security analysis of code generated by five leading large language models across 1,200 programming tasks. Analysis reveals that 32% of generated code contains at least one security vulnerability, with SQL injection, cross-site scripting, and improper input validation being the most common. We develop an automated post-generation security scanning pipeline that detects 94% of vulnerabilities before code deployment.", "year": "2025", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-40" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-40", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "6", "start_page": "1", "end_page": "18", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "large language models", "code generation", "security", "vulnerability", "static analysis" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Smart Grid Cybersecurity: Intrusion Detection Using Deep Learning", "author": [ { "name": "Dr. Fatima Zahra Benali", "affiliation": "University of Algiers" }, { "name": "Prof. James Patterson", "affiliation": "Georgia Institute of Technology" } ], "abstract": "This paper presents a deep learning-based intrusion detection system for smart grid networks. Our hybrid CNN-LSTM architecture achieves 99.2% detection accuracy for cyberattacks targeting SCADA systems, with a false positive rate below 0.3%. The model is trained on a novel dataset of 2.5 million network packets collected from an operational smart grid testbed and evaluated against 15 attack scenarios including false data injection and man-in-the-middle attacks.", "year": "2025", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-41" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-41", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "6", "start_page": "19", "end_page": "36", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "smart grid", "cybersecurity", "intrusion detection", "deep learning", "SCADA" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Behavioral Economics of Sustainable Consumption: Nudging Green Purchasing Decisions", "author": [ { "name": "Prof. Lisa Andersen", "affiliation": "Copenhagen Business School" }, { "name": "Dr. Raj Kapoor", "affiliation": "Indian Institute of Management Ahmedabad" } ], "abstract": "This large-scale field experiment tests behavioral nudge interventions for sustainable consumption in grocery retail across Denmark and India. Testing six nudge types with 18,000 consumers, we find that social norm messaging increases green product purchases by 23%, while carbon footprint labeling increases purchases by 15%. Cultural context significantly moderates effectiveness, with collectivist cultures responding more strongly to social norm nudges.", "year": "2025", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-42" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-42", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "6", "start_page": "37", "end_page": "52", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "behavioral economics", "sustainable consumption", "nudging", "green purchasing", "field experiment" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Gut Microbiome Transplantation for Treatment-Resistant Depression: Pilot RCT Results", "author": [ { "name": "Dr. Hannah Mueller", "affiliation": "Charité – Universitätsmedizin Berlin" }, { "name": "Dr. Olumide Adeyemi", "affiliation": "University of Ibadan" } ], "abstract": "We report results from a pilot randomized controlled trial of fecal microbiome transplantation for treatment-resistant depression in 60 patients. At 12-week follow-up, the FMT group shows a 42% reduction in Hamilton Depression Rating Scale scores compared to 12% in the placebo group. 16S rRNA sequencing reveals significant shifts in Lactobacillus and Bifidobacterium abundances correlating with clinical improvement. A Phase III trial is warranted.", "year": "2025", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-43" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-43", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "6", "start_page": "53", "end_page": "70", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "gut microbiome", "depression", "FMT", "mental health", "RCT" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Virtual Reality in Special Education: Motor Skill Development for Children with Cerebral Palsy", "author": [ { "name": "Dr. Sofia Papageorgiou", "affiliation": "National and Kapodistrian University of Athens" }, { "name": "Prof. Deepak Kumar", "affiliation": "University of Delhi" } ], "abstract": "This study evaluates virtual reality-based motor rehabilitation for children with cerebral palsy aged 6-14. A 12-week RCT with 80 children across schools in Athens and Delhi demonstrates that VR-based exercises improve gross motor function measure (GMFM-88) scores by 18% compared to 7% with conventional physiotherapy alone. Children report significantly higher motivation and engagement levels with VR-assisted therapy.", "year": "2025", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-44" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-44", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "6", "start_page": "71", "end_page": "86", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "virtual reality", "special education", "cerebral palsy", "motor skills", "rehabilitation" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Deforestation Monitoring Using Satellite Imagery and Deep Learning: Amazon Basin Case Study", "author": [ { "name": "Dr. Luiz Fernando Costa", "affiliation": "National Institute for Space Research (INPE)" }, { "name": "Prof. Elena Petrova", "affiliation": "Lomonosov Moscow State University" } ], "abstract": "We develop a deep learning pipeline for near-real-time deforestation detection in the Amazon Basin using Sentinel-2 and Landsat-8 satellite imagery. Our U-Net based model achieves 96.3% pixel-level accuracy for deforestation classification and can detect clearings as small as 0.5 hectares within 5 days of occurrence. Deployment over 18 months detects 2,340 deforestation events, enabling 35% faster enforcement response times.", "year": "2025", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-45" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-45", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "6", "start_page": "87", "end_page": "104", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "deforestation", "satellite imagery", "deep learning", "Amazon", "remote sensing" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Regulatory Sandboxes for Fintech Innovation: Comparative Legal Analysis", "author": [ { "name": "Prof. Rachel Kim", "affiliation": "Seoul National University" }, { "name": "Dr. Samuel Mensah", "affiliation": "University of Cape Coast" } ], "abstract": "This comparative legal analysis examines regulatory sandbox frameworks for fintech innovation across 25 jurisdictions. We evaluate sandbox design parameters including eligibility criteria, testing duration, consumer protection mechanisms, and graduation pathways. The UK FCA model and Singapore MAS sandbox emerge as best practices, while many developing country sandboxes lack adequate consumer safeguards and clear exit criteria.", "year": "2025", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-46" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-46", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "6", "start_page": "105", "end_page": "120", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "regulatory sandbox", "fintech", "innovation", "comparative law", "financial regulation" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Multi-Modal Sentiment Analysis for Brand Reputation Management", "author": [ { "name": "Dr. Amir Hossein Rezaei", "affiliation": "University of Tehran" }, { "name": "Prof. Chiara Rossi", "affiliation": "Bocconi University" } ], "abstract": "This paper presents a multi-modal sentiment analysis framework combining text, image, and video data from social media for real-time brand reputation management. Our transformer-based fusion model achieves 89.7% accuracy on a novel benchmark dataset of 500K multi-modal social media posts. Case studies with three Fortune 500 companies demonstrate early crisis detection capabilities with an average 6-hour lead time over traditional monitoring tools.", "year": "2025", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-47" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-47", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "6", "start_page": "121", "end_page": "138", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "sentiment analysis", "multi-modal", "brand reputation", "social media", "NLP" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Diffusion Models for High-Resolution Medical Image Synthesis", "author": [ { "name": "Dr. Arun Patel", "affiliation": "Google DeepMind" }, { "name": "Prof. Julia Schneider", "affiliation": "University of Zurich" } ], "abstract": "We present a conditional diffusion model for generating high-resolution synthetic medical images for data augmentation in rare disease diagnosis. Our model generates photorealistic 512x512 chest X-rays, brain MRIs, and dermoscopy images that pass expert radiologist Turing tests with 72% deception rate. Augmenting training data with synthetic images improves rare disease classification accuracy by 22% when real training samples are below 100.", "year": "2025", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-48" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-48", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "7", "start_page": "1", "end_page": "18", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "diffusion models", "medical imaging", "data augmentation", "synthetic data", "rare diseases" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Piezoelectric Energy Harvesting from Railway Vibrations: Prototype Development and Testing", "author": [ { "name": "Dr. Ravi Kumar Singh", "affiliation": "Indian Institute of Technology Kanpur" }, { "name": "Prof. Friedrich Bauer", "affiliation": "RWTH Aachen University" } ], "abstract": "This study develops and tests a piezoelectric energy harvesting system for converting railway track vibrations into electrical energy. A novel cantilever array design generates an average of 4.2mW per device under typical freight train loading conditions. Field deployment along a 2km test track on Indian Railways demonstrates sufficient energy generation to power wireless condition monitoring sensors, eliminating the need for battery replacement.", "year": "2025", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-49" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-49", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "7", "start_page": "19", "end_page": "34", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "piezoelectric", "energy harvesting", "railway", "vibration", "IoT sensors" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Platform Economy and Labor Rights: Gig Worker Protection Frameworks", "author": [ { "name": "Prof. Christine Blackwood", "affiliation": "University of Toronto" }, { "name": "Dr. Kwame Asante", "affiliation": "University of Cape Town" } ], "abstract": "This comparative study analyzes legal frameworks for gig worker protection across 20 countries, examining the classification debate between employee and independent contractor status. Analysis of legislative developments, court rulings, and platform compliance data reveals three emerging regulatory models: employment presumption (EU), independent contractor with benefits (US states), and hybrid classification (Australia). Worker outcome data favors the employment presumption model.", "year": "2025", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-50" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-50", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "7", "start_page": "35", "end_page": "50", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "gig economy", "labor rights", "platform workers", "employment law", "worker classification" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Antimicrobial Peptides from Marine Organisms: Structural Analysis and Therapeutic Potential", "author": [ { "name": "Dr. Isabelle Dupont", "affiliation": "Sorbonne University" }, { "name": "Dr. Takeshi Mori", "affiliation": "Osaka University" } ], "abstract": "This study characterizes 23 novel antimicrobial peptides isolated from deep-sea marine organisms collected from hydrothermal vents. Structural analysis reveals unique cyclic and beta-hairpin conformations. Five peptides demonstrate broad-spectrum activity against multidrug-resistant ESKAPE pathogens with minimum inhibitory concentrations below 8 μg/mL. In vivo mouse models confirm therapeutic efficacy with minimal cytotoxicity, positioning these as promising antibiotic candidates.", "year": "2025", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-51" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-51", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "7", "start_page": "51", "end_page": "68", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "antimicrobial peptides", "marine organisms", "drug discovery", "ESKAPE pathogens", "antibiotic resistance" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Project-Based Learning Outcomes in Engineering Education: A 15-University Study", "author": [ { "name": "Dr. Peter Andersen", "affiliation": "Aalborg University" }, { "name": "Prof. Meera Ranganathan", "affiliation": "Anna University" } ], "abstract": "This multi-institutional study evaluates the impact of project-based learning on engineering competency development across 15 universities in Europe and Asia. Longitudinal tracking of 3,200 engineering students over four years demonstrates that PBL-intensive curricula produce 35% higher scores in professional competencies including teamwork, problem-solving, and communication, while maintaining equivalent technical knowledge acquisition as lecture-based approaches.", "year": "2025", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-52" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-52", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "7", "start_page": "69", "end_page": "84", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "project-based learning", "engineering education", "competency", "curriculum design", "assessment" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Biodiversity Loss and Ecosystem Services Valuation: Tropical Forest Case Studies", "author": [ { "name": "Dr. Carmen Rodriguez", "affiliation": "Smithsonian Tropical Research Institute" }, { "name": "Prof. Augustine Okoro", "affiliation": "University of Port Harcourt" } ], "abstract": "This study quantifies the economic impact of biodiversity loss on ecosystem services in tropical forests of Central America and West Africa. Using InVEST modeling and field measurements across 40 forest plots, we estimate that each 10% loss in tree species richness reduces pollination services by $340/hectare/year and water purification services by $280/hectare/year. These values significantly exceed current payment for ecosystem services rates.", "year": "2025", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-53" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-53", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "7", "start_page": "85", "end_page": "102", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "biodiversity", "ecosystem services", "tropical forest", "economic valuation", "conservation" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Generative AI and Academic Integrity: Policy Frameworks for Universities", "author": [ { "name": "Prof. Jonathan Reed", "affiliation": "University of Oxford" }, { "name": "Dr. Fatou Diallo", "affiliation": "Cheikh Anta Diop University" } ], "abstract": "This policy analysis examines how 200 universities across 40 countries are responding to generative AI challenges to academic integrity. We identify four policy archetypes: prohibition, conditional use, integration, and laissez-faire. Analysis of academic misconduct data from 50 institutions suggests that integration policies—which teach AI literacy and require disclosure—are associated with 40% lower plagiarism detection rates than prohibition approaches.", "year": "2025", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-54" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-54", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "7", "start_page": "103", "end_page": "118", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "generative AI", "academic integrity", "university policy", "AI literacy", "plagiarism" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Digital Twin Technology for Predictive Maintenance in Manufacturing", "author": [ { "name": "Dr. Stefan Müller", "affiliation": "Siemens AG" }, { "name": "Prof. Priya Subramanian", "affiliation": "Indian Institute of Technology Hyderabad" } ], "abstract": "This paper presents a digital twin framework integrating IoT sensor data, physics-based models, and machine learning for predictive maintenance in discrete manufacturing. Deployment across three Siemens production facilities demonstrates 45% reduction in unplanned downtime, 30% decrease in maintenance costs, and 99.1% accuracy in remaining useful life prediction for critical rotating machinery components.", "year": "2025", "month": "07", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-55" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-55", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "7", "start_page": "119", "end_page": "136", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "digital twin", "predictive maintenance", "manufacturing", "IoT", "machine learning" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Vision-Language Models for Automated Radiology Report Generation", "author": [ { "name": "Dr. Yifan Zhang", "affiliation": "Alibaba DAMO Academy" }, { "name": "Prof. Alexandra Popova", "affiliation": "Moscow Institute of Physics and Technology" } ], "abstract": "We develop a vision-language model for automated radiology report generation from chest X-rays, achieving BLEU-4 scores of 0.42 and clinical accuracy of 91.3% as assessed by 20 board-certified radiologists. Our architecture combines a ConvNeXt visual encoder with a medical GPT-2 language decoder, fine-tuned on 400K radiology reports from MIMIC-CXR. The model reduces radiologist report writing time by 50% when used as a draft generation tool.", "year": "2025", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-56" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-56", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "8", "start_page": "1", "end_page": "18", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "vision-language models", "radiology", "report generation", "medical AI", "chest X-ray" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Geothermal Energy Potential Assessment Using Machine Learning: Iceland Case Study", "author": [ { "name": "Dr. Sigríður Björnsdóttir", "affiliation": "University of Iceland" }, { "name": "Prof. Marco Bianchi", "affiliation": "University of Pisa" } ], "abstract": "This study applies machine learning techniques to geothermal resource assessment in Iceland's volcanic zones. Using gradient boosting and neural network models trained on geological, geochemical, and geophysical datasets, we predict geothermal reservoir temperatures with RMSE of 12.4°C and identify three previously unknown high-enthalpy prospects. The ML approach reduces exploration costs by an estimated 35% compared to conventional methods.", "year": "2025", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-57" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-57", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "8", "start_page": "19", "end_page": "34", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "geothermal energy", "machine learning", "resource assessment", "Iceland", "renewable energy" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Social Media Misinformation and Vaccine Hesitancy: A Cross-Cultural Analysis", "author": [ { "name": "Dr. Amina Ibrahim", "affiliation": "University of Cape Town" }, { "name": "Prof. Mark Sullivan", "affiliation": "Columbia University" } ], "abstract": "This cross-cultural study examines the relationship between social media misinformation exposure and vaccine hesitancy in six countries. Natural language processing analysis of 2.3 million social media posts combined with survey data from 12,000 respondents reveals that misinformation exposure increases vaccine hesitancy by 34% on average, with the effect mediated by trust in institutions. Counter-messaging strategies showing healthcare worker testimonials are most effective.", "year": "2025", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-58" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-58", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "8", "start_page": "35", "end_page": "52", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "misinformation", "vaccine hesitancy", "social media", "public health", "cross-cultural" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Precision Oncology: AI-Driven Biomarker Discovery for Immunotherapy Response Prediction", "author": [ { "name": "Dr. Robert Chang", "affiliation": "Memorial Sloan Kettering Cancer Center" }, { "name": "Dr. Priyanka Iyer", "affiliation": "Tata Memorial Hospital" } ], "abstract": "We develop an AI-driven multi-omics integration platform for predicting immunotherapy response in non-small cell lung cancer. Analysis of genomic, transcriptomic, and proteomic data from 1,200 patients identifies a novel 15-gene signature that predicts anti-PD-1 response with AUC of 0.89, significantly outperforming PD-L1 expression alone (AUC 0.67). Prospective validation in 300 patients confirms clinical utility.", "year": "2025", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-59" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-59", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "8", "start_page": "53", "end_page": "70", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "precision oncology", "AI", "biomarker", "immunotherapy", "lung cancer" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Ocean Acidification Effects on Commercial Fisheries: Economic Modeling and Adaptation", "author": [ { "name": "Dr. Astrid Jensen", "affiliation": "Norwegian Institute of Marine Research" }, { "name": "Prof. Hideo Nakamura", "affiliation": "University of Tokyo" } ], "abstract": "This study models the economic impacts of ocean acidification on commercial fisheries in the North Atlantic and North Pacific through 2060. Using coupled bio-economic models, we project revenue losses of $12-18 billion annually for shellfish industries under RCP 8.5 scenario. Adaptation strategies including selective breeding for acid-tolerant species and relocation of aquaculture operations could mitigate 40% of projected losses.", "year": "2025", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-60" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-60", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "8", "start_page": "71", "end_page": "88", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "ocean acidification", "commercial fisheries", "economic modeling", "climate adaptation", "marine economy" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Remote Patient Monitoring Technologies for Chronic Disease Management: Systematic Review", "author": [ { "name": "Dr. Sara Al-Mutairi", "affiliation": "King Saud University" }, { "name": "Prof. Emily Watson", "affiliation": "University of British Columbia" } ], "abstract": "This systematic review synthesizes evidence from 95 RCTs evaluating remote patient monitoring technologies for chronic disease management. Meta-analysis reveals RPM reduces hospital readmissions by 25% for heart failure, 18% for COPD, and 15% for diabetes. Cost-effectiveness analysis shows RPM programs achieve ICER below $20,000/QALY in 73% of studies, with greatest value in rural and underserved populations.", "year": "2025", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-61" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-61", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "8", "start_page": "89", "end_page": "106", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "remote monitoring", "chronic disease", "telemedicine", "systematic review", "health technology" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Zero-Shot Cross-Lingual Transfer Learning for Hate Speech Detection", "author": [ { "name": "Dr. Maria Evangelista", "affiliation": "University of the Philippines" }, { "name": "Prof. Thomas Eriksson", "affiliation": "Linköping University" } ], "abstract": "We investigate zero-shot cross-lingual transfer learning for hate speech detection in 12 low-resource languages. Using multilingual transformer models fine-tuned on English hate speech datasets, we achieve average F1 scores of 0.76 across target languages without any target-language training data. Language similarity analysis reveals that typological features are stronger predictors of transfer success than genetic language family membership.", "year": "2025", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-62" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-62", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "8", "start_page": "107", "end_page": "122", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "hate speech", "cross-lingual", "transfer learning", "NLP", "low-resource languages" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Autonomous Drone Swarms for Search and Rescue: Multi-Agent Path Planning", "author": [ { "name": "Dr. Ahmed Hassan", "affiliation": "Cairo University" }, { "name": "Prof. Yuki Tanaka", "affiliation": "Tohoku University" } ], "abstract": "We present a multi-agent path planning algorithm for autonomous drone swarms in search and rescue operations. Our decentralized approach using graph neural networks enables coordination of 50+ drones in GPS-denied environments. Field trials in simulated earthquake debris scenarios demonstrate 89% area coverage within 15 minutes and 94% victim detection rate using thermal imaging, outperforming manual search teams by 3x in time efficiency.", "year": "2025", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-63" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-63", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "9", "start_page": "1", "end_page": "18", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "drone swarms", "search and rescue", "multi-agent", "path planning", "autonomous systems" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Metamaterial-Based Earthquake-Resistant Foundation Design: Seismic Wave Attenuation", "author": [ { "name": "Prof. Giorgio Rossi", "affiliation": "University of Naples" }, { "name": "Dr. Keiko Matsumoto", "affiliation": "National Research Institute for Earth Science" } ], "abstract": "This study develops a novel metamaterial-based foundation design for seismic wave attenuation. Using periodic arrangements of resonant inclusions in soil, we achieve 80% reduction in ground motion amplitude for frequencies between 1-10 Hz. Finite element simulations validated by centrifuge model tests demonstrate the concept's effectiveness for protecting critical infrastructure, with cost premiums of only 15-20% over conventional foundations.", "year": "2025", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-64" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-64", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "9", "start_page": "19", "end_page": "36", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "metamaterials", "earthquake engineering", "seismic design", "wave attenuation", "foundation" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Social Entrepreneurship Impact Measurement: A Mixed-Methods Framework", "author": [ { "name": "Dr. Priscilla Agyemang", "affiliation": "Ashesi University" }, { "name": "Prof. Martin Lindberg", "affiliation": "Stockholm School of Economics" } ], "abstract": "We develop a mixed-methods impact measurement framework for social enterprises combining quantitative social return on investment (SROI) with qualitative theory of change analysis. Testing across 45 social enterprises in Ghana and Sweden reveals that integrated frameworks capture 40% more impact dimensions than SROI alone. The framework provides actionable insights for scaling high-impact interventions and improving impact reporting standards.", "year": "2025", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-65" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-65", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "9", "start_page": "37", "end_page": "52", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "social entrepreneurship", "impact measurement", "SROI", "mixed methods", "social enterprise" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "mRNA Vaccine Platform Optimization for Emerging Infectious Diseases", "author": [ { "name": "Dr. Emeka Okonkwo", "affiliation": "Nigerian Institute of Medical Research" }, { "name": "Prof. Katarina Novak", "affiliation": "Charles University" } ], "abstract": "This study optimizes mRNA vaccine platform design for rapid response to emerging infectious diseases. We develop a modular antigen design system that reduces candidate selection from 6 months to 3 weeks. Testing with prototype vaccines against three emerging pathogens demonstrates robust immunogenicity in animal models within 10 weeks of pathogen identification. The platform integrates AI-driven codon optimization achieving 3-fold higher protein expression.", "year": "2025", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-66" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-66", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "9", "start_page": "53", "end_page": "70", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "mRNA vaccine", "emerging diseases", "platform optimization", "immunology", "rapid response" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Critical Pedagogy in the Digital Age: Social Justice Education Through Online Platforms", "author": [ { "name": "Dr. Gabriela Morales", "affiliation": "National Autonomous University of Mexico" }, { "name": "Prof. Sipho Dlamini", "affiliation": "University of the Witwatersrand" } ], "abstract": "This study examines the effectiveness of critical pedagogy approaches in online higher education settings across Mexico and South Africa. Action research with 320 students demonstrates that digital platforms can effectively facilitate social justice dialogue when designed with culturally responsive pedagogy principles. Student critical consciousness measures improve by 28% compared to traditional online instruction.", "year": "2025", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-67" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-67", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "9", "start_page": "71", "end_page": "86", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "critical pedagogy", "social justice", "online education", "digital learning", "cultural responsiveness" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Permafrost Thaw and Infrastructure Risk Assessment in the Russian Arctic", "author": [ { "name": "Dr. Dmitry Sokolov", "affiliation": "Russian Academy of Sciences" }, { "name": "Prof. Sarah MacPherson", "affiliation": "University of Alaska Fairbanks" } ], "abstract": "This study assesses infrastructure risk from accelerating permafrost thaw in the Russian Arctic using satellite InSAR data and ground temperature monitoring. Analysis covering 2.5 million km² reveals that 35% of existing infrastructure in permafrost zones will experience structural damage by 2050 under current warming trends. An adaptive infrastructure maintenance framework prioritizing critical facilities is presented with estimated implementation costs of $8.5 billion.", "year": "2025", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-68" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-68", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "9", "start_page": "87", "end_page": "104", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "permafrost", "Arctic", "infrastructure", "climate change", "risk assessment" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Central Bank Digital Currencies and Monetary Policy Effectiveness: A DSGE Analysis", "author": [ { "name": "Prof. Ricardo Santos", "affiliation": "Banco de Portugal" }, { "name": "Dr. Naomi Chen", "affiliation": "Reserve Bank of Australia" } ], "abstract": "Using a Dynamic Stochastic General Equilibrium model, we analyze the impact of retail central bank digital currency introduction on monetary policy transmission. Our calibrated model for the Euro Area and Australia shows that CBDC adoption rates above 20% significantly enhance interest rate pass-through to deposit rates, potentially reducing policy rate adjustments needed by 30-40 basis points during tightening cycles.", "year": "2025", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-69" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-69", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "9", "start_page": "105", "end_page": "120", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "CBDC", "monetary policy", "DSGE", "central banking", "digital currency" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Robotic-Assisted Surgery Training Using Augmented Reality Simulation", "author": [ { "name": "Dr. Mei-Li Wong", "affiliation": "National Taiwan University Hospital" }, { "name": "Prof. Alessandro Ferrero", "affiliation": "University of Turin" } ], "abstract": "We develop and evaluate an augmented reality simulation platform for robotic-assisted surgery training. A multicenter study with 120 surgical residents demonstrates that AR-enhanced training achieves 95% of the skill transfer effectiveness of cadaveric training at 20% of the cost. Objective assessment metrics show trainees reach proficiency benchmarks 35% faster with AR simulation compared to conventional box trainer methods.", "year": "2025", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-70" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-70", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "9", "start_page": "121", "end_page": "136", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "robotic surgery", "augmented reality", "surgical training", "simulation", "medical education" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Neuromorphic Computing for Energy-Efficient Edge AI: Architecture and Applications", "author": [ { "name": "Dr. Daniel Kim", "affiliation": "Samsung Advanced Institute of Technology" }, { "name": "Prof. Laura Sanchez", "affiliation": "University of Barcelona" } ], "abstract": "This paper presents a neuromorphic computing architecture for energy-efficient AI inference at the edge. Our spiking neural network processor achieves 50x energy efficiency improvement over conventional GPU-based inference while maintaining 95% accuracy on computer vision and natural language understanding benchmarks. The 7nm chip design consumes only 50mW during active inference, enabling always-on AI in battery-powered IoT devices.", "year": "2025", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-71" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-71", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "10", "start_page": "1", "end_page": "18", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "neuromorphic computing", "edge AI", "spiking neural networks", "energy efficiency", "IoT" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Self-Healing Concrete with Bacterial Spores: Long-Term Durability Assessment", "author": [ { "name": "Dr. Henk van der Berg", "affiliation": "Delft University of Technology" }, { "name": "Prof. Lakshmi Narayan", "affiliation": "Indian Institute of Technology Roorkee" } ], "abstract": "This ten-year field study evaluates the long-term durability of self-healing concrete incorporating Bacillus subtilis bacterial spores. Monitoring of 30 concrete structures in the Netherlands and India demonstrates autonomous crack healing up to 0.8mm width, with 65% recovery of original compressive strength. Life-cycle cost analysis shows 25% reduction in maintenance costs despite 8% higher initial material costs.", "year": "2025", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-72" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-72", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "10", "start_page": "19", "end_page": "36", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "self-healing concrete", "bacterial spores", "durability", "crack healing", "construction materials" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Youth Political Participation Through Social Media: A Global Comparative Study", "author": [ { "name": "Dr. Fatma Kaya", "affiliation": "Boğaziçi University" }, { "name": "Prof. Michael O'Brien", "affiliation": "University College Dublin" } ], "abstract": "This global comparative study examines social media's role in youth political participation across 15 countries spanning diverse political systems. Survey data from 25,000 respondents aged 18-25 combined with social media activity analysis reveals that platform design significantly shapes participation modes. Instagram and TikTok drive issue-based activism, while Twitter facilitates partisan engagement. Digital participation translates to offline civic engagement in 43% of cases.", "year": "2025", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-73" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-73", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "10", "start_page": "37", "end_page": "52", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "youth politics", "social media", "civic engagement", "political participation", "comparative study" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Targeted Drug Delivery Using Lipid Nanoparticles: Brain Cancer Applications", "author": [ { "name": "Dr. Priya Venkatesh", "affiliation": "Massachusetts General Hospital" }, { "name": "Prof. Johann Weber", "affiliation": "University of Vienna" } ], "abstract": "We develop lipid nanoparticle formulations capable of crossing the blood-brain barrier for targeted drug delivery to glioblastoma tumors. Surface modification with transferrin receptor-targeting peptides achieves 8-fold higher brain accumulation compared to conventional LNPs. In a mouse glioblastoma model, targeted LNP-delivered temozolomide extends median survival by 40% with reduced systemic toxicity, demonstrating the potential for clinical translation.", "year": "2025", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-74" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-74", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "10", "start_page": "53", "end_page": "70", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "lipid nanoparticles", "drug delivery", "brain cancer", "glioblastoma", "blood-brain barrier" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Competency-Based Assessment in Medical Education: Implementation Challenges and Solutions", "author": [ { "name": "Dr. Rashid Al-Ansari", "affiliation": "Arabian Gulf University" }, { "name": "Prof. Catherine Murphy", "affiliation": "Royal College of Surgeons in Ireland" } ], "abstract": "This multi-site study examines the implementation of competency-based medical education assessment across 12 medical schools in the Middle East and Europe. Analysis reveals three critical implementation barriers: faculty assessment literacy, programmatic assessment infrastructure, and cultural resistance to narrative feedback. A phased implementation framework with faculty development is proposed, showing 60% improvement in assessment quality over 3 years.", "year": "2025", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-75" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-75", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "10", "start_page": "71", "end_page": "86", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "competency-based education", "medical education", "assessment", "faculty development", "programmatic" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Wildfire Risk Prediction Using Satellite Data and Machine Learning: California Case Study", "author": [ { "name": "Dr. Jennifer Brooks", "affiliation": "US Forest Service" }, { "name": "Prof. Alejandro Vega", "affiliation": "University of Chile" } ], "abstract": "This study develops a machine learning-based wildfire risk prediction system using multi-source satellite data for California and central Chile. Combining Sentinel-2 vegetation indices, MODIS land surface temperature, and ERA5 meteorological data, our gradient boosting model achieves 87% accuracy in predicting wildfire occurrence at 1km resolution with 7-day lead time. The system has been operationally deployed by Cal Fire since June 2025.", "year": "2025", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-76" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-76", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "10", "start_page": "87", "end_page": "104", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "wildfire prediction", "satellite data", "machine learning", "fire risk", "remote sensing" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Homomorphic Encryption for Privacy-Preserving Cloud Computing: Performance Optimization", "author": [ { "name": "Dr. Alexei Volkov", "affiliation": "Higher School of Economics" }, { "name": "Prof. Nina Johansen", "affiliation": "Norwegian University of Science and Technology" } ], "abstract": "We present optimized homomorphic encryption schemes for practical privacy-preserving cloud computing applications. Our GPU-accelerated CKKS implementation achieves 100x speedup over CPU-only approaches for matrix multiplication and neural network inference operations. Benchmarking on logistic regression and neural network inference tasks demonstrates processing times under 2 seconds for datasets of 100K records, making privacy-preserving machine learning commercially viable.", "year": "2025", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-77" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-77", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "10", "start_page": "105", "end_page": "122", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "homomorphic encryption", "cloud computing", "privacy", "CKKS", "GPU acceleration" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Leadership Styles, Contemporary Trends, and Nurse Burnout: An Integrative, Practice-Ready Synthesis", "author": [ { "name": "Ms. Regila Iyya Pillai", "affiliation": "European International University" } ], "abstract": "Nurse burnout—characterized by emotional exhaustion, depersonalization, and diminished professional efficacy—is a persistent and costly threat to care quality, safety, and workforce sustainability. While structural factors such as staffing ratios and patient acuity are powerful antecedents, leadership is a tractable system lever that shapes demands and resources on a daily basis. This paper offers a rigorous synthesis of how leadership styles (transformational, authentic, servant, resonant/emotionally intelligent, inclusive/participative, transactional, and laissez-faire) and contemporary leadership trends (distributed/shared governance, human-centered digital transformation, equity-oriented and trauma-informed leadership, and sustainability/moral resilience) influence nurse burnout. Grounding the analysis in the Job Demands–Resources (JD–R) model, Conservation of Resources (COR) theory, and Self-Determination Theory (SDT), we propose Leadership as Resource Architecture (LRA): a unifying lens that treats leadership as the intentional design of structural, cognitive, social-emotional, and meaning resources. We outline a measurement strategy; evidence-informed interventions by style; a unit-level case illustration; and a phased implementation roadmap. We conclude with policy, education, and research implications to accelerate practice change at scale.", "year": "2025", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-78" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-78", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "10", "start_page": "123", "end_page": "142", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "nurse burnout", "leadership", "transformational", "authentic", "servant leadership", "distributed leadership", "JD-R", "COR", "SDT", "psychological safety", "moral resilience" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Evidence-Based Practice in Nursing: Transforming Care through Science, Context, and Clinical Expertise", "author": [ { "name": "Ms. Regila Iyya Pillai", "affiliation": "European International University" } ], "abstract": "Evidence-Based Practice (EBP) in nursing represents the integration of best available research evidence, clinical expertise, and patient values to deliver safe, effective, and context-sensitive care. Rooted in the broader evidence-based medicine movement of the 1990s, EBP has since evolved into a global nursing imperative, endorsed by regulatory bodies, accreditation agencies, and health systems. This paper synthesizes the conceptual foundations, historical evolution, and empirical impact of EBP in nursing. It critically examines barriers and facilitators at individual, organizational, and system levels and discusses the role of leadership, education, and interprofessional collaboration in embedding EBP into practice. Drawing on frameworks such as the Iowa Model, the PARIHS (Promoting Action on Research Implementation in Health Services) framework, and the Knowledge-to-Action (KTA) cycle, the paper outlines strategies for effective translation of evidence into bedside care. Ultimately, the argument is made that EBP is not merely a professional obligation but a cultural transformation in nursing—shifting practice from tradition and intuition to systematic inquiry, evaluation, and adaptation.", "year": "2025", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-79" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-79", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "10", "start_page": "143", "end_page": "160", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "evidence-based practice", "nursing", "implementation science", "patient outcomes", "clinical expertise", "PARIHS", "Iowa Model", "knowledge translation" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Attention Mechanisms in Time Series Forecasting: Financial Market Applications", "author": [ { "name": "Dr. Wei Liu", "affiliation": "Goldman Sachs" }, { "name": "Prof. Stefano Ricci", "affiliation": "University of Bologna" } ], "abstract": "This paper introduces a novel temporal attention mechanism for multivariate time series forecasting in financial markets. Our Temporal Attention Network achieves 18% improvement in directional accuracy for S&P 500 prediction and 12% reduction in portfolio Value-at-Risk estimation error compared to LSTM baselines. Attention weight analysis provides interpretable insights into cross-asset dependencies and regime-switching behavior.", "year": "2025", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-80" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-80", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "11", "start_page": "1", "end_page": "16", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "attention mechanisms", "time series", "financial markets", "forecasting", "deep learning" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Flexible Electronics for Soft Robotics: Stretchable Sensor Integration", "author": [ { "name": "Dr. Takao Someya", "affiliation": "University of Tokyo" }, { "name": "Dr. Maria Fernanda López", "affiliation": "National University of Colombia" } ], "abstract": "We develop a fully integrated stretchable sensor system for soft robotic applications using organic semiconductor materials. The sensor array maintains 95% functionality at 200% strain and can measure pressure, temperature, and proximity simultaneously. Integration with a pneumatic soft gripper demonstrates real-time tactile feedback enabling 40% improvement in delicate object manipulation success rate compared to sensorless grippers.", "year": "2025", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-81" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-81", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "11", "start_page": "17", "end_page": "34", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "flexible electronics", "soft robotics", "stretchable sensors", "organic semiconductors", "tactile sensing" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Circular Economy Business Models in Fast Fashion: Consumer Acceptance Study", "author": [ { "name": "Prof. Emma Lindström", "affiliation": "Lund University" }, { "name": "Dr. Riya Kapoor", "affiliation": "National Institute of Fashion Technology" } ], "abstract": "This consumer acceptance study evaluates circular economy business models in fast fashion across Sweden and India. Survey and conjoint analysis with 6,000 consumers reveals that rental and resale models achieve 45% acceptance in Sweden but only 18% in India, where repair and upcycling services show higher acceptance at 35%. Price sensitivity analysis identifies the 30-40% discount threshold for second-hand acceptance in both markets.", "year": "2025", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-82" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-82", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "11", "start_page": "35", "end_page": "50", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "circular economy", "fast fashion", "consumer acceptance", "sustainability", "business models" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "AI-Assisted Early Detection of Alzheimer's Disease from Speech Patterns", "author": [ { "name": "Dr. Pierre Lambert", "affiliation": "Sorbonne University" }, { "name": "Dr. Sunita Rao", "affiliation": "Christian Medical College Vellore" } ], "abstract": "We develop an AI system for early Alzheimer's disease detection from spontaneous speech analysis. Using acoustic features, linguistic complexity metrics, and semantic coherence measures extracted from 5-minute speech samples, our model achieves 88% sensitivity and 92% specificity for mild cognitive impairment detection, up to 3 years before clinical diagnosis. The non-invasive screening tool has potential for population-level screening.", "year": "2025", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-83" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-83", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "11", "start_page": "51", "end_page": "68", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "Alzheimer's", "speech analysis", "early detection", "AI diagnostics", "cognitive impairment" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Indigenous Knowledge Systems in STEM Education: Integrating Traditional Ecological Knowledge", "author": [ { "name": "Dr. Aroha Williams", "affiliation": "University of Auckland" }, { "name": "Prof. Luis Javier García", "affiliation": "University of the Andes" } ], "abstract": "This participatory action research study develops culturally responsive STEM curricula integrating indigenous knowledge systems with Western science. Working with Māori and indigenous Colombian communities, we co-design learning modules for ecology and environmental science. Student engagement improves by 52% and scientific literacy scores increase by 19% among indigenous students, while all students demonstrate enhanced understanding of ecological systems.", "year": "2025", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-84" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-84", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "11", "start_page": "69", "end_page": "84", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "indigenous knowledge", "STEM education", "culturally responsive", "ecological knowledge", "decolonization" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Plastic Waste Conversion to Hydrogen Fuel: Catalytic Pyrolysis Optimization", "author": [ { "name": "Dr. Akira Hayashi", "affiliation": "Kyoto University" }, { "name": "Prof. Blessing Obi", "affiliation": "University of Nigeria" } ], "abstract": "This study optimizes catalytic pyrolysis processes for converting mixed plastic waste into hydrogen-rich syngas. Using a novel Ni-Ce/Al2O3 catalyst, we achieve 78% hydrogen yield from unsorted municipal plastic waste at 700°C. Life cycle assessment demonstrates 60% reduction in greenhouse gas emissions compared to landfill disposal. Techno-economic analysis indicates commercial viability at processing capacities above 50 tonnes/day.", "year": "2025", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-85" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-85", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "11", "start_page": "85", "end_page": "102", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "plastic waste", "hydrogen", "catalytic pyrolysis", "waste-to-energy", "circular economy" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Cross-Border Data Governance in Southeast Asia: ASEAN Digital Framework Analysis", "author": [ { "name": "Dr. Thitima Pongsakornrungsilp", "affiliation": "Chulalongkorn University" }, { "name": "Prof. Bambang Setiawan", "affiliation": "University of Indonesia" } ], "abstract": "This paper analyzes the ASEAN Framework on Digital Data Governance and its implications for cross-border data flows in Southeast Asia. Through policy analysis and stakeholder interviews in 8 ASEAN member states, we identify critical gaps in enforcement mechanisms, adequacy assessments, and dispute resolution. Recommendations for strengthening the framework while maintaining ASEAN's economic integration objectives are presented.", "year": "2025", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-86" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-86", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "11", "start_page": "103", "end_page": "118", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "data governance", "ASEAN", "cross-border data", "digital policy", "Southeast Asia" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Emotional AI in Customer Service: Ethical Implications and Consumer Perceptions", "author": [ { "name": "Dr. Julia Park", "affiliation": "Yonsei University" }, { "name": "Prof. Giovanni Costa", "affiliation": "University of Padua" } ], "abstract": "This study examines consumer perceptions and ethical implications of emotion detection AI in customer service interactions. Experiments with 3,200 consumers across South Korea and Italy reveal that 68% are uncomfortable with real-time emotion analysis during service calls. However, when emotion AI improves service quality measurably, acceptance rises to 55%. A consent-based framework for ethical emotional AI deployment is proposed.", "year": "2025", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-87" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-87", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "11", "start_page": "119", "end_page": "134", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "emotional AI", "customer service", "ethics", "consumer perception", "sentiment detection" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Nurse Staffing Ratios and Patient Outcomes: Evidence, Mechanisms, and Policy Implications", "author": [ { "name": "Ms. Regila Iyya Pillai", "affiliation": "European International University" } ], "abstract": "Safe and sufficient nurse staffing has emerged as one of the most robust predictors of patient outcomes across acute, long-term, and community care. Empirical research spanning three decades has consistently linked lower nurse-to-patient ratios to reduced mortality, fewer adverse events, shorter lengths of stay, and higher patient satisfaction. Yet health systems worldwide face persistent challenges—budget constraints, aging populations, rising acuity, and workforce shortages—that complicate implementation of safe staffing standards. This paper synthesizes the global evidence base, unpacks theoretical and practical mechanisms connecting staffing ratios to outcomes, and evaluates policy approaches including mandated minimums, acuity-adjusted models, and skill-mix reforms. Framed within the Donabedian Structure–Process–Outcome model and the Job Demands–Resources (JD–R) framework, it examines both direct patient impacts and indirect consequences for nurses' well-being, turnover, and burnout. The paper concludes with actionable recommendations for policymakers, executives, and frontline leaders, arguing that safe staffing is not merely a cost but a value-generating investment with measurable returns in safety, efficiency, and workforce sustainability.", "year": "2025", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-88" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-88", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "11", "start_page": "135", "end_page": "154", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "nurse staffing", "patient outcomes", "mortality", "safety", "length of stay", "JD-R model", "acuity adjustment", "health policy" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Technology in Nursing Management: Transforming Leadership, Care Delivery, and Workforce Sustainability", "author": [ { "name": "Ms. Regila Iyya Pillai", "affiliation": "European International University" } ], "abstract": "Technology has become an indispensable lever in modern nursing management, transforming the way care is organized, delivered, and evaluated. From electronic health records (EHRs) and artificial intelligence (AI) to telehealth, robotics, and workforce analytics, technological innovation has expanded the scope of nurse managers from operational oversight to strategic leadership in digital health ecosystems. This paper provides a comprehensive review of the role of technology in nursing management, addressing historical evolution, theoretical frameworks, and empirical evidence. It examines key technologies (EHRs, clinical decision support, telehealth, mobile health, robotics, wearable monitoring, workforce management software, and big data analytics) and their impact on patient outcomes, nurse well-being, organizational efficiency, and system sustainability. Special attention is paid to leadership implications, including ethical decision-making, data governance, equity in access, and digital competency development. Barriers such as resistance to change, cost, interoperability issues, and privacy concerns are critically analyzed. The paper concludes with recommendations for nurse leaders, policymakers, and educators to harness technology as a driver of evidence-based, human-centered, and sustainable nursing management.", "year": "2025", "month": "11", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-89" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-89", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "11", "start_page": "155", "end_page": "174", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "nursing management", "technology", "digital health", "electronic health records", "telehealth", "workforce analytics", "AI", "leadership" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Foundation Models for Scientific Discovery: Protein Structure Prediction Beyond AlphaFold", "author": [ { "name": "Dr. Alex Turner", "affiliation": "DeepMind" }, { "name": "Prof. Yue Wang", "affiliation": "Tsinghua University" } ], "abstract": "We present a next-generation foundation model for protein structure prediction that extends beyond AlphaFold2's capabilities to predict protein-ligand interactions, conformational dynamics, and mutation effects. Trained on 280 million protein sequences and 500K experimental structures, our model achieves 95% accuracy in binding site prediction and can simulate conformational changes at 1000x faster than molecular dynamics, enabling virtual drug screening at scale.", "year": "2025", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-90" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-90", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "12", "start_page": "1", "end_page": "18", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "foundation models", "protein structure", "AlphaFold", "drug screening", "computational biology" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Perovskite-Silicon Tandem Solar Cells: Achieving 33% Efficiency", "author": [ { "name": "Dr. Ahmed El-Sayed", "affiliation": "German Aerospace Center (DLR)" }, { "name": "Prof. Li Xin", "affiliation": "Nanjing University" } ], "abstract": "We report a perovskite-silicon tandem solar cell achieving a certified power conversion efficiency of 33.1%, the highest recorded for this technology. The device employs a novel self-assembled monolayer hole transport layer and textured silicon bottom cell with optimized current matching. Encapsulated modules retain 95% of initial efficiency after 2,000 hours of accelerated aging under IEC 61215 damp heat conditions.", "year": "2025", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-91" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-91", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "12", "start_page": "19", "end_page": "36", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "perovskite", "silicon", "tandem solar cell", "photovoltaics", "renewable energy" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Remote Work and Urban Real Estate Markets: A Post-Pandemic Equilibrium Analysis", "author": [ { "name": "Prof. Eleanor Whitfield", "affiliation": "London School of Economics" }, { "name": "Dr. Rajiv Menon", "affiliation": "Indian Institute of Management Calcutta" } ], "abstract": "This study analyzes the impact of persistent remote work adoption on urban commercial and residential real estate markets in 30 global cities. Using a spatial equilibrium model calibrated with post-pandemic mobility data, we find that 25% remote work adoption redistributes 8-12% of office demand from central business districts to suburban co-working hubs. Residential price gradients flatten by 15% in cities with high remote work adoption.", "year": "2025", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-92" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-92", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "12", "start_page": "37", "end_page": "52", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "remote work", "real estate", "urban economics", "spatial equilibrium", "post-pandemic" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "CAR-T Cell Therapy Manufacturing Scalability: Cost Reduction Strategies", "author": [ { "name": "Dr. Jennifer Wu", "affiliation": "University of Pennsylvania" }, { "name": "Prof. Friedrich Keller", "affiliation": "ETH Zurich" } ], "abstract": "This techno-economic analysis addresses manufacturing scalability challenges for CAR-T cell therapy. We model point-of-care and centralized manufacturing approaches, identifying automated closed-system processing, universal donor cell sources, and in vivo CAR-T generation as the three most impactful cost reduction strategies. Combined implementation could reduce per-patient manufacturing costs from $100K to $15K, potentially enabling global access to this transformative cancer therapy.", "year": "2025", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-93" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-93", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "12", "start_page": "53", "end_page": "68", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "CAR-T therapy", "manufacturing", "cost reduction", "cell therapy", "bioprocessing" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Micro-Credentials and Lifelong Learning: Employer Perspectives Across Industries", "author": [ { "name": "Dr. Sandra Mueller", "affiliation": "University of Zurich" }, { "name": "Prof. Anil Gupta", "affiliation": "Indian Institute of Management Lucknow" } ], "abstract": "This large-scale employer survey examines attitudes toward micro-credentials for hiring and professional development across 1,500 organizations in 20 countries. Results show 62% of employers value micro-credentials from recognized platforms equally to traditional certificates for specialized skills. However, only 28% accept micro-credentials as degree substitutes. Industry-specific analysis reveals technology and healthcare sectors as most receptive to micro-credential adoption.", "year": "2025", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-94" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-94", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "12", "start_page": "69", "end_page": "84", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "micro-credentials", "lifelong learning", "employer perspectives", "professional development", "upskilling" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Deep-Sea Mining Environmental Impact Assessment: Clarion-Clipperton Zone", "author": [ { "name": "Dr. Samantha Joye", "affiliation": "University of Georgia" }, { "name": "Prof. Kentaro Fujii", "affiliation": "Japan Agency for Marine-Earth Science and Technology" } ], "abstract": "This comprehensive environmental impact assessment evaluates deep-sea polymetallic nodule mining in the Clarion-Clipperton Zone. Using ROV surveys, sediment core analysis, and ecosystem modeling across 12 exploration areas, we document 30-year recovery timescales for benthic communities after mining disturbance. Species richness analysis reveals 40% of macrofaunal species are endemic to individual claim areas, raising concerns about irreversible biodiversity loss.", "year": "2025", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-95" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-95", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "12", "start_page": "85", "end_page": "102", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "deep-sea mining", "environmental impact", "Clarion-Clipperton", "biodiversity", "marine ecology" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "AI Governance Frameworks: Comparative Analysis of EU AI Act and US Executive Order", "author": [ { "name": "Prof. Thomas Kirchner", "affiliation": "Humboldt University of Berlin" }, { "name": "Dr. Aisha Patel", "affiliation": "Brookings Institution" } ], "abstract": "This comparative legal analysis examines the EU AI Act and US Executive Order 14110 as contrasting approaches to AI governance. We analyze regulatory scope, risk classification methodologies, enforcement mechanisms, and international harmonization potential. While the EU's prescriptive approach provides greater legal certainty, the US framework offers more innovation-friendly flexibility. A convergence framework for transatlantic AI governance coordination is proposed.", "year": "2025", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-96" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-96", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "12", "start_page": "103", "end_page": "120", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "AI governance", "EU AI Act", "regulation", "technology policy", "transatlantic" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Sustainable Aviation Fuels: Techno-Economic Analysis of Fischer-Tropsch Synthesis Pathways", "author": [ { "name": "Dr. Hans Müller", "affiliation": "Karlsruhe Institute of Technology" }, { "name": "Prof. Abdulaziz Al-Mutlaq", "affiliation": "King Fahd University" } ], "abstract": "This techno-economic analysis evaluates Fischer-Tropsch synthesis pathways for sustainable aviation fuel production from biomass and CO2. We compare biomass-to-liquid, power-to-liquid, and hybrid pathways using detailed process simulation. Power-to-liquid using green hydrogen achieves the lowest carbon intensity at 8g CO2e/MJ but requires electricity costs below $0.03/kWh for economic viability. Policy support equivalent to $2.50/gallon premium is needed for market entry by 2030.", "year": "2025", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-97" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-97", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "12", "start_page": "121", "end_page": "138", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "sustainable aviation fuel", "Fischer-Tropsch", "techno-economic", "green hydrogen", "decarbonization" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Diversity and Inclusion in Nursing Leadership: Building Equitable, Resilient, and Future-Ready Healthcare Systems", "author": [ { "name": "Ms. Regila Iyya Pillai", "affiliation": "European International University" } ], "abstract": "Diversity and inclusion (D&I) in nursing leadership have emerged as critical priorities in the 21st century, not merely as moral imperatives but as strategic enablers of quality, safety, innovation, and workforce sustainability. As healthcare systems confront global migration, aging populations, persistent inequities, and post-pandemic workforce crises, the representation and empowerment of diverse nurses in leadership roles become essential for legitimacy, effectiveness, and resilience. This paper presents a comprehensive exploration of D&I in nursing leadership. Drawing from theories of transformational leadership, social identity, intersectionality, and cultural competence, it situates D&I within historical, structural, and contemporary contexts. It critically reviews empirical evidence linking diverse leadership to patient outcomes, workforce engagement, and organizational innovation. The paper also analyzes barriers (structural racism, unconscious bias, pipeline gaps, cultural resistance) and facilitators (inclusive leadership styles, mentorship, policy mandates, organizational accountability). Frameworks such as the Magnet Recognition Program, American Organization for Nursing Leadership (AONL) competencies, and global WHO workforce equity goals are integrated. Case studies from the United States, United Kingdom, Middle East, and Africa illustrate how context shapes challenges and opportunities. Finally, the paper offers actionable strategies for building inclusive nursing leadership cultures, including equitable succession planning, bias-free recruitment, allyship, digital equity, and global solidarity.", "year": "2025", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-98" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-98", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "11", "number": "12", "start_page": "139", "end_page": "158", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "diversity", "inclusion", "nursing leadership", "equity", "intersectionality", "cultural competence", "healthcare equity", "workforce sustainability" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Retrieval-Augmented Generation for Domain-Specific Question Answering in Legal Research", "author": [ { "name": "Dr. Nora Lindqvist", "affiliation": "KTH Royal Institute of Technology" }, { "name": "Prof. Rajendra Prasad", "affiliation": "National Law University Delhi" } ], "abstract": "We develop a retrieval-augmented generation system specialized for legal research question answering. Our system indexes 2.5 million Indian and Swedish legal documents and achieves 89% answer accuracy on a new LegalQA benchmark, outperforming general-purpose LLMs by 34%. Crucially, our system provides verifiable source citations for every answer, addressing the hallucination problem that limits LLM adoption in legal practice.", "year": "2026", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-99" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-99", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "12", "number": "1", "start_page": "1", "end_page": "18", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "RAG", "legal research", "question answering", "NLP", "LLM" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Bio-Inspired Soft Actuators for Minimally Invasive Surgery: Design and Characterization", "author": [ { "name": "Dr. Chiara Magnani", "affiliation": "Politecnico di Milano" }, { "name": "Prof. Dong-Soo Kwon", "affiliation": "KAIST" } ], "abstract": "This paper presents bio-inspired pneumatic soft actuators for minimally invasive surgical instruments. Our octopus-inspired suction cup actuator achieves 50% greater tissue grasping force with 70% less tissue damage compared to rigid surgical forceps. The actuator integrates embedded fiber optic sensors for real-time force feedback. In vitro testing on porcine tissue and ex vivo surgical simulations validate the design for laparoscopic applications.", "year": "2026", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-100" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-100", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "12", "number": "1", "start_page": "19", "end_page": "36", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "soft actuators", "minimally invasive surgery", "bio-inspired", "robotics", "surgical instruments" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Impact Investing Returns and Social Outcomes: Evidence from Microfinance Portfolios", "author": [ { "name": "Dr. Florence Nkomo", "affiliation": "University of Cape Town" }, { "name": "Prof. Andreas Koenig", "affiliation": "University of Mannheim" } ], "abstract": "This study examines the financial returns and social outcomes of impact investing through analysis of 350 microfinance portfolio investments across 28 developing countries. Our dataset spanning 2015-2024 reveals that portfolios with explicit social outcome targets achieve risk-adjusted returns within 1.2% of market-rate benchmarks while generating measurable improvements in borrower income (+23%), women's economic empowerment (+31%), and educational expenditure (+18%).", "year": "2026", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-101" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-101", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "12", "number": "1", "start_page": "37", "end_page": "52", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "impact investing", "microfinance", "social outcomes", "development finance", "ESG" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Gut-Brain Axis Modulation Through Probiotic Interventions for Anxiety Disorders", "author": [ { "name": "Dr. Henrik Olsen", "affiliation": "Karolinska Institute" }, { "name": "Dr. Anu Sharma", "affiliation": "National Institute of Mental Health and Neurosciences" } ], "abstract": "This double-blind RCT evaluates a multi-strain probiotic intervention for generalized anxiety disorder through gut-brain axis modulation. In 200 patients over 12 weeks, the probiotic group shows 38% reduction in GAD-7 scores versus 14% in placebo. Fecal metabolomics reveals significant increases in GABA-producing bacteria and short-chain fatty acids correlating with anxiety improvement. The intervention demonstrates a favorable safety profile with minimal gastrointestinal side effects.", "year": "2026", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-102" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-102", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "12", "number": "1", "start_page": "53", "end_page": "70", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "gut-brain axis", "probiotics", "anxiety disorders", "RCT", "neurogastroenterology" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Computational Thinking Integration Across K-12 Curriculum: A Design-Based Research Approach", "author": [ { "name": "Dr. Maria Torres", "affiliation": "University of Barcelona" }, { "name": "Prof. David Ng", "affiliation": "Hong Kong University of Science and Technology" } ], "abstract": "This design-based research study develops and evaluates a framework for integrating computational thinking across K-12 subjects beyond computer science. Iterative implementation in 25 schools in Spain and Hong Kong over 3 years demonstrates that CT integration in science, mathematics, and social studies improves computational thinking assessment scores by 40% while enhancing domain-specific learning by 12%. Teacher professional development models are identified as critical success factors.", "year": "2026", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-103" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-103", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "12", "number": "1", "start_page": "71", "end_page": "86", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "computational thinking", "K-12", "curriculum design", "design-based research", "CT integration" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Renewable Energy Integration Challenges in Island Nation Power Grids", "author": [ { "name": "Dr. Sione Taufa", "affiliation": "University of the South Pacific" }, { "name": "Prof. Katherine Mills", "affiliation": "University of Tasmania" } ], "abstract": "This study examines the technical and economic challenges of high renewable energy penetration in small island developing states power grids. Case studies from Fiji, Samoa, and Vanuatu reveal that grid stability requires battery storage capacity of 4-6 hours at penetration levels above 40%. We develop an optimal investment planning model balancing solar, wind, battery storage, and existing diesel generation, demonstrating pathways to 80% renewable penetration by 2035.", "year": "2026", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-104" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-104", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "12", "number": "1", "start_page": "87", "end_page": "104", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "renewable energy", "island nations", "power grid", "battery storage", "energy transition" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Responsible AI in Criminal Justice: Algorithmic Bias Audit Methodology", "author": [ { "name": "Prof. Cynthia Robinson", "affiliation": "Yale Law School" }, { "name": "Dr. Okechukwu Eze", "affiliation": "University of Lagos" } ], "abstract": "We develop a comprehensive algorithmic bias audit methodology for AI systems used in criminal justice, including risk assessment, predictive policing, and facial recognition. Testing our framework on five deployed systems in the US and Nigeria reveals significant racial and socioeconomic disparities in 4 of 5 systems. Our audit protocol includes statistical parity tests, individual fairness assessments, and counterfactual analysis, with remediation recommendations for each bias type.", "year": "2026", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-105" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-105", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "12", "number": "1", "start_page": "105", "end_page": "122", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "algorithmic bias", "criminal justice", "AI ethics", "audit methodology", "fairness" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Multimodal AI for Disaster Response Coordination: Hurricane Case Study", "author": [ { "name": "Dr. Carlos Herrera", "affiliation": "University of Puerto Rico" }, { "name": "Prof. Ayako Suzuki", "affiliation": "University of Tokyo" } ], "abstract": "This study develops a multimodal AI system integrating satellite imagery, social media streams, sensor data, and emergency communications for real-time disaster response coordination. Evaluated using data from Hurricane Fiona (Puerto Rico) and Typhoon Nanmadol (Japan), the system achieves 85% accuracy in damage assessment within 6 hours of landfall and optimizes resource allocation, reducing response time by 40% compared to conventional coordination methods.", "year": "2026", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-106" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-106", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "12", "number": "1", "start_page": "123", "end_page": "140", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "disaster response", "multimodal AI", "hurricane", "emergency management", "resource allocation" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Synthetic Biology for Sustainable Textile Manufacturing: Engineered Microbial Dyes", "author": [ { "name": "Dr. Ananya Mukherjee", "affiliation": "Indian Institute of Technology Kharagpur" }, { "name": "Prof. Erik van den Heuvel", "affiliation": "Wageningen University" } ], "abstract": "This study develops engineered microbial strains for sustainable textile dye production. Using synthetic biology approaches, we design E. coli and Streptomyces strains producing indigo, alizarin, and tyrian purple dyes at commercially viable titers. Fermentation-produced dyes achieve equivalent color fastness to petrochemical dyes while reducing water consumption by 75% and eliminating toxic chemical discharge. Pilot-scale production at 500L demonstrates scalability.", "year": "2026", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-107" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-107", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "12", "number": "2", "start_page": "1", "end_page": "18", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "synthetic biology", "textile dyes", "sustainable manufacturing", "microbial engineering", "green chemistry" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Post-Quantum Cryptography Migration Strategies for Financial Institutions", "author": [ { "name": "Dr. Oliver Schmidt", "affiliation": "Deutsche Bank" }, { "name": "Prof. Soo-Jin Park", "affiliation": "Pohang University of Science and Technology" } ], "abstract": "This paper develops migration strategies for financial institutions transitioning to post-quantum cryptographic algorithms. Risk assessment of current PKI infrastructure across 15 major banks reveals that 73% of cryptographic deployments are vulnerable to harvest-now-decrypt-later attacks. We propose a phased migration roadmap prioritizing high-value transaction systems, with cost estimates of $50-200 million for large financial institutions over a 5-year implementation period.", "year": "2026", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-108" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-108", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "12", "number": "2", "start_page": "19", "end_page": "36", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "post-quantum cryptography", "financial institutions", "migration", "PKI", "cybersecurity" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Organizational Resilience During Supply Chain Disruptions: Lessons from Semiconductor Shortage", "author": [ { "name": "Dr. Tomoko Ishikawa", "affiliation": "Hitotsubashi University" }, { "name": "Prof. Michael Porter", "affiliation": "Harvard Business School" } ], "abstract": "Using the 2020-2023 semiconductor shortage as a natural experiment, this study examines organizational resilience strategies across 120 automotive and electronics manufacturers. Firms with dual-sourcing strategies recover production capacity 45% faster than single-source dependent firms. Network analysis reveals that tier-2 supplier visibility is the strongest predictor of resilience, yet only 23% of firms maintain comprehensive sub-tier mapping.", "year": "2026", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-109" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-109", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "12", "number": "2", "start_page": "37", "end_page": "54", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "organizational resilience", "supply chain", "semiconductor shortage", "dual sourcing", "manufacturing" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Long COVID Rehabilitation: Comparative Effectiveness of Multidisciplinary Interventions", "author": [ { "name": "Dr. Sarah Mitchell", "affiliation": "University of Leeds" }, { "name": "Dr. Amit Bhatt", "affiliation": "Postgraduate Institute of Medical Education and Research" } ], "abstract": "This multicenter RCT compares three rehabilitation approaches for Long COVID across 8 centers in the UK and India. Among 450 patients with persistent symptoms at 6+ months, the multidisciplinary intervention combining respiratory rehabilitation, cognitive behavioral therapy, and graded exercise achieves 52% improvement in functional capacity at 6 months versus 28% for standard care. Phenotype-stratified analysis identifies distinct responder profiles guiding personalized rehabilitation.", "year": "2026", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-110" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-110", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "12", "number": "2", "start_page": "55", "end_page": "72", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "Long COVID", "rehabilitation", "multidisciplinary", "RCT", "functional capacity" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Digital Citizenship Education in Authoritarian Contexts: Navigating Censorship and Civic Agency", "author": [ { "name": "Dr. Li Wei", "affiliation": "East China Normal University" }, { "name": "Prof. Natasha Bakht", "affiliation": "University of Ottawa" } ], "abstract": "This comparative study examines digital citizenship education implementation in politically restrictive environments across five countries. Through covert ethnographic research and interviews with 150 educators, we identify three pedagogical strategies enabling critical digital literacy within censored information environments. Teachers in restrictive contexts develop 'parallel curricula' that formally comply with state mandates while implicitly fostering critical media literacy and civic agency.", "year": "2026", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-111" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-111", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "12", "number": "2", "start_page": "73", "end_page": "88", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "digital citizenship", "censorship", "civic education", "authoritarian", "media literacy" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Gender-Based Violence Prevention Through Technology: Evidence from Mobile Applications", "author": [ { "name": "Dr. Josephine Appiah", "affiliation": "University of Ghana" }, { "name": "Prof. Kavita Krishnan", "affiliation": "Tata Institute of Social Sciences" } ], "abstract": "This mixed-methods evaluation assesses the effectiveness of mobile technology interventions for gender-based violence prevention in Ghana and India. Analysis of 4 mobile applications with 15,000 users over 18 months demonstrates that technology-enabled reporting increases formal complaint filing by 65% and reduces response time for emergency services by 50%. Qualitative findings highlight trust, anonymity, and community integration as critical adoption factors.", "year": "2026", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-112" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-112", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "12", "number": "2", "start_page": "89", "end_page": "106", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "gender-based violence", "mobile technology", "prevention", "intervention", "social innovation" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Atmospheric River Prediction and Flood Risk Assessment for Western Europe", "author": [ { "name": "Dr. François Leclerc", "affiliation": "Météo-France" }, { "name": "Prof. Christopher Davies", "affiliation": "University of Reading" } ], "abstract": "This study develops an ensemble machine learning system for atmospheric river prediction and associated flood risk assessment in Western Europe. Our model achieves 82% accuracy in predicting atmospheric river landfall location and intensity 5 days in advance, enabling proactive flood risk management. Integration with hydrological models for 150 river catchments in France and the UK improves flood warning lead times from 24 to 72 hours.", "year": "2026", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-113" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-113", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "12", "number": "2", "start_page": "107", "end_page": "124", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "atmospheric rivers", "flood prediction", "machine learning", "meteorology", "climate risk" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Decentralized Autonomous Organizations (DAOs) and Corporate Governance: Legal Status Analysis", "author": [ { "name": "Prof. Andrea Tosato", "affiliation": "University of Nottingham" }, { "name": "Dr. Manuel Silva", "affiliation": "Pontifical Catholic University of Chile" } ], "abstract": "This paper analyzes the legal status of Decentralized Autonomous Organizations across 15 jurisdictions, examining their compatibility with existing corporate governance frameworks. We identify fundamental tensions between DAO operational characteristics (pseudonymity, flat hierarchy, token-based voting) and traditional corporate law requirements (identified directors, fiduciary duties, registered agents). Wyoming's DAO LLC model and Marshall Islands' DAO Act are evaluated as pioneering legal accommodation frameworks.", "year": "2026", "month": "02", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-114" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-114", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "12", "number": "2", "start_page": "125", "end_page": "140", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "DAO", "corporate governance", "blockchain", "legal status", "decentralized organizations" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Embodied AI Agents for Household Robotics: Learning from Human Demonstrations", "author": [ { "name": "Dr. Pieter Abbeel", "affiliation": "University of California, Berkeley" }, { "name": "Dr. Rina Patel", "affiliation": "Indian Institute of Science" } ], "abstract": "We present an embodied AI framework enabling household robots to learn manipulation tasks from limited human demonstrations. Using a combination of vision-language models and reinforcement learning, our system acquires new skills from 5-10 demonstrations and generalizes across object categories and environments. Testing on a mobile manipulator robot achieves 83% task success rate across 50 household tasks including cooking preparation, cleaning, and organizing.", "year": "2026", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-115" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-115", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "12", "number": "3", "start_page": "1", "end_page": "18", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "embodied AI", "household robotics", "learning from demonstration", "manipulation", "reinforcement learning" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Solid-State Battery Technology: Sulfide Electrolyte Stability and Interface Engineering", "author": [ { "name": "Dr. Jae-Young Kim", "affiliation": "Samsung SDI" }, { "name": "Prof. Maria García", "affiliation": "Complutense University of Madrid" } ], "abstract": "This study addresses the critical interface stability challenges in sulfide-based solid-state batteries. We develop a novel lithium phosphorus oxynitride interlayer that reduces interfacial resistance by 85% and prevents sulfide electrolyte decomposition at the cathode interface. Full cells with NMC811 cathode demonstrate 92% capacity retention after 1,000 cycles at 1C rate and room temperature, representing a significant step toward commercial solid-state battery viability.", "year": "2026", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-116" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-116", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "12", "number": "3", "start_page": "19", "end_page": "36", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "solid-state battery", "sulfide electrolyte", "interface engineering", "lithium-ion", "energy storage" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Employee Well-being and Productivity in Four-Day Work Week Trials: Meta-Analysis", "author": [ { "name": "Prof. Brendan Burchell", "affiliation": "University of Cambridge" }, { "name": "Dr. Ayumi Nakamura", "affiliation": "University of Osaka" } ], "abstract": "This meta-analysis synthesizes results from 35 four-day work week trials across 12 countries involving 15,000 employees. Aggregated findings show 39% improvement in employee well-being scores, 22% reduction in burnout indicators, and no significant decrease in productivity metrics. Revenue-neutral or positive outcomes are reported by 91% of participating organizations. Analysis identifies implementation factors that distinguish successful from unsuccessful trials.", "year": "2026", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-117" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-117", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "12", "number": "3", "start_page": "37", "end_page": "52", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "four-day work week", "employee well-being", "productivity", "work-life balance", "meta-analysis" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Stem Cell-Derived Organoids for Personalized Cancer Drug Screening", "author": [ { "name": "Dr. Lena Fischer", "affiliation": "Max Planck Institute" }, { "name": "Dr. Amit Rajput", "affiliation": "All India Institute of Medical Sciences" } ], "abstract": "We develop a high-throughput patient-derived organoid platform for personalized cancer drug screening. Tumor organoids are established from 200 patients with colorectal, pancreatic, and breast cancers with 85% success rate within 14 days. Drug response profiling across 100 compounds achieves 87% concordance with actual patient clinical outcomes. The platform identifies effective treatments for 35% of patients who had exhausted standard therapeutic options.", "year": "2026", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-118" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-118", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "12", "number": "3", "start_page": "53", "end_page": "70", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "organoids", "personalized medicine", "cancer", "drug screening", "stem cells" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Universal Design for Learning in Higher Education: Faculty Implementation Study", "author": [ { "name": "Prof. Catherine Fichten", "affiliation": "McGill University" }, { "name": "Dr. Oluwatosin Adegoke", "affiliation": "University of Ibadan" } ], "abstract": "This mixed-methods study examines faculty implementation of Universal Design for Learning principles in higher education across 30 institutions in Canada and Nigeria. Survey data from 850 faculty members reveals that while 78% endorse UDL principles, only 34% consistently implement them. Key barriers include time constraints, lack of institutional support, and limited training. An evidence-based professional development program increases implementation rates to 67% within one academic year.", "year": "2026", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-119" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-119", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "12", "number": "3", "start_page": "71", "end_page": "86", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "universal design", "higher education", "UDL", "faculty development", "inclusive pedagogy" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Methane Emissions from Livestock: Seaweed Feed Additive Effectiveness at Scale", "author": [ { "name": "Dr. Ermias Kebreab", "affiliation": "University of California, Davis" }, { "name": "Prof. Sinead Waters", "affiliation": "Teagasc" } ], "abstract": "This large-scale field trial evaluates Asparagopsis taxiformis seaweed supplementation for reducing enteric methane emissions from dairy and beef cattle. Testing across 2,000 animals on 40 farms in the US and Ireland demonstrates consistent methane reduction of 55-70% with 0.5% dietary inclusion. No adverse effects on milk yield, composition, or meat quality are observed. Supply chain analysis identifies cultivation scalability as the primary barrier to global adoption.", "year": "2026", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-120" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-120", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "12", "number": "3", "start_page": "87", "end_page": "104", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "methane emissions", "livestock", "seaweed", "Asparagopsis", "climate mitigation" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Smart Contract Dispute Resolution: Automated Arbitration Protocol Design", "author": [ { "name": "Prof. Giorgio Sacerdoti", "affiliation": "Bocconi University" }, { "name": "Dr. Priya Venkatesan", "affiliation": "Indian Institute of Technology Madras" } ], "abstract": "This paper designs an automated arbitration protocol for smart contract disputes that bridges on-chain execution with off-chain legal frameworks. Our Solidity-based protocol implements graduated dispute resolution stages—negotiation, mediation, and binding arbitration—with cryptographic evidence preservation. Testing with 500 simulated commercial disputes achieves 89% resolution without human arbitrator intervention, with average resolution time of 72 hours compared to 18 months for traditional arbitration.", "year": "2026", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-121" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-121", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "12", "number": "3", "start_page": "105", "end_page": "122", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "smart contracts", "dispute resolution", "arbitration", "blockchain", "legal technology" ], "subject": [ { "scheme": "keyword", "term": "Law" } ] } }, { "bibjson": { "title": "Digital Health Interventions for Maternal Mental Health in Low-Resource Settings", "author": [ { "name": "Dr. Jane Nakibuuka", "affiliation": "Makerere University" }, { "name": "Prof. Vikram Patel", "affiliation": "Harvard T.H. Chan School of Public Health" } ], "abstract": "This cluster RCT evaluates a mobile health intervention for perinatal depression in low-resource settings across 60 health facilities in Uganda and India. Community health workers delivering a culturally adapted digital intervention achieve 45% remission rates at 6 months versus 22% with enhanced usual care. The intervention is cost-effective at $43 per disability-adjusted life year averted, well below WHO-CHOICE thresholds for low-income countries.", "year": "2026", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-122" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-122", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "12", "number": "3", "start_page": "123", "end_page": "140", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "maternal mental health", "digital health", "mHealth", "perinatal depression", "low-resource settings" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Deep Learning Approaches for Medical Image Segmentation: A Comprehensive Survey", "author": [ { "name": "Dr. Arun Kumar", "affiliation": "Indian Institute of Technology Delhi" }, { "name": "Prof. Soo-Hyun Lee", "affiliation": "Seoul National University" } ], "abstract": "Medical image segmentation plays a crucial role in computer-aided diagnosis and treatment planning. This comprehensive survey reviews recent advances in deep learning-based approaches for medical image segmentation across various imaging modalities including CT, MRI, X-ray, and ultrasound. We systematically categorize existing methods into encoder-decoder architectures, attention-based models, transformer-based approaches, and hybrid methods. Our analysis covers 200+ papers published between 2020-2025.", "year": "2026", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-123" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-123", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "12", "number": "4", "start_page": "1", "end_page": "15", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "deep learning", "medical imaging", "segmentation", "CNN", "U-Net" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Sustainable Supply Chain Management in the Post-Pandemic Era", "author": [ { "name": "Prof. Margaret Johnson", "affiliation": "Wharton School of Business" }, { "name": "Dr. Ravi Patel", "affiliation": "Indian Institute of Management Bangalore" } ], "abstract": "This study examines how global supply chains have been restructured in the post-pandemic era with a focus on sustainability integration. Analysis of 500 multinational companies reveals that firms adopting circular economy principles in supply chain design achieve 18% lower operational costs and 35% reduction in scope 3 emissions. Near-shoring and regional diversification strategies are evaluated for resilience-sustainability trade-offs.", "year": "2026", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-124" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-124", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "12", "number": "4", "start_page": "16", "end_page": "28", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "supply chain", "sustainability", "post-pandemic", "circular economy", "resilience" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Blockchain-Based Voting Systems: Security Analysis and Implementation", "author": [ { "name": "Dr. Fatima Ahmed", "affiliation": "University of Waterloo" }, { "name": "Dr. Li Chen", "affiliation": "Zhejiang University" } ], "abstract": "This paper presents a comprehensive security analysis of blockchain-based electronic voting systems. We identify 12 attack vectors specific to decentralized voting and propose a novel zero-knowledge proof protocol ensuring voter privacy while maintaining verifiability. Implementation testing with 10,000 simulated voters demonstrates 99.99% accuracy, 3-second vote confirmation times, and resistance to 51% attacks through a delegated proof-of-stake consensus mechanism.", "year": "2026", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-125" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-125", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "12", "number": "4", "start_page": "29", "end_page": "42", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "blockchain", "voting systems", "security", "zero-knowledge proof", "e-governance" ], "subject": [ { "scheme": "keyword", "term": "Computer Science" } ] } }, { "bibjson": { "title": "Impact of Climate Change on Agricultural Productivity in South Asia", "author": [ { "name": "Dr. Pankaj Sharma", "affiliation": "Indian Agricultural Research Institute" }, { "name": "Prof. Jessica Williams", "affiliation": "University of Reading" } ], "abstract": "Using downscaled climate projections and crop simulation models, this study quantifies climate change impacts on rice, wheat, and maize productivity in South Asia through 2050. Under SSP2-4.5, we project 12-18% yield reductions for wheat and 8-14% for rice, with significant regional variation. Adaptation strategies including heat-tolerant varieties, adjusted planting dates, and precision irrigation can offset 60-70% of projected losses.", "year": "2026", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-126" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-126", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "12", "number": "4", "start_page": "43", "end_page": "55", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "climate change", "agriculture", "South Asia", "crop modeling", "food security" ], "subject": [ { "scheme": "keyword", "term": "Environment" } ] } }, { "bibjson": { "title": "Ethical AI in Hiring: Reducing Algorithmic Bias in Resume Screening", "author": [ { "name": "Dr. Kimberly Washington", "affiliation": "University of Pennsylvania" }, { "name": "Prof. Yusuf Osman", "affiliation": "University of Cape Town" } ], "abstract": "This study develops and validates a bias-mitigation framework for AI-powered resume screening tools. Testing across 50,000 real job applications reveals that standard NLP-based screeners exhibit 23% gender bias and 18% racial bias. Our adversarial debiasing technique reduces both to below 3% while maintaining 95% of predictive validity. A practical implementation guide for HR departments is provided with regulatory compliance considerations.", "year": "2026", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-127" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-127", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "12", "number": "4", "start_page": "56", "end_page": "70", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "ethical AI", "hiring bias", "algorithmic fairness", "resume screening", "HR technology" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "Neurostimulation Therapies for Treatment-Resistant Depression: A Network Meta-Analysis", "author": [ { "name": "Dr. Anna Kowalczyk", "affiliation": "Jagiellonian University" }, { "name": "Prof. David Henderson", "affiliation": "Massachusetts General Hospital" } ], "abstract": "This network meta-analysis compares the efficacy and tolerability of neurostimulation therapies for treatment-resistant depression across 85 RCTs involving 6,200 patients. Intermittent theta burst stimulation emerges as the most effective modality (SMD -1.2, 95% CI -1.5 to -0.9) with the best tolerability profile. Deep brain stimulation shows highest remission rates (48%) but carries greater procedural risks. Treatment selection algorithms based on patient characteristics are proposed.", "year": "2026", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-128" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-128", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "12", "number": "4", "start_page": "71", "end_page": "88", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "neurostimulation", "depression", "TMS", "meta-analysis", "treatment-resistant" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Space Debris Mitigation: Active Removal Technologies and International Regulatory Framework", "author": [ { "name": "Prof. Marco Castronuovo", "affiliation": "Italian Space Agency" }, { "name": "Dr. Rajeev Sinha", "affiliation": "Indian Space Research Organisation" } ], "abstract": "This multidisciplinary study evaluates active space debris removal technologies and proposes an international regulatory framework for debris mitigation. Technical assessment of net capture, harpoon, and laser ablation systems identifies robotic arm capture as the most mature technology with 92% success rate in ground simulations. Legal analysis reveals critical gaps in liability allocation under the Outer Space Treaty, with a proposed Debris Removal Protocol for UN COPUOS consideration.", "year": "2026", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-129" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-129", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "12", "number": "4", "start_page": "89", "end_page": "106", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "space debris", "active removal", "space law", "Outer Space Treaty", "orbital mechanics" ], "subject": [ { "scheme": "keyword", "term": "Engineering" } ] } }, { "bibjson": { "title": "Generative AI in Academic Publishing: Opportunities, Risks, and Governance", "author": [ { "name": "Prof. Jonathan Tennant", "affiliation": "Center for Open Science" }, { "name": "Dr. Renu Bala", "affiliation": "University of Delhi" } ], "abstract": "This position paper examines the implications of generative AI for academic publishing integrity. Survey of 2,000 editors across 500 journals reveals that 45% have encountered suspected AI-generated submissions. We analyze detection tool effectiveness—current detectors achieve only 65% accuracy for sophisticated AI-generated text—and propose a governance framework including mandatory AI use disclosure, watermarking standards, and publisher verification protocols.", "year": "2026", "month": "04", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-130" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-130", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "12", "number": "4", "start_page": "107", "end_page": "122", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "generative AI", "academic publishing", "research integrity", "AI detection", "scholarly communication" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Neuroplasticity and Workplace Learning: A Conceptual Framework for Adult Development in Organisations", "author": [ { "name": "Dr. Arunabha Bhattacharjee", "affiliation": "European International University, Paris" } ], "abstract": "Adult learning at work has historically been designed around behaviourist assumptions of repetition, reinforcement, and assessment, with limited reference to the neurobiological substrates that govern how mature brains acquire, consolidate, and retrieve new competencies. This paper develops a conceptual framework that translates contemporary findings on experience-dependent neuroplasticity into design principles for organisational learning and development (L&D). Following a PRISMA-guided systematic search of Scopus, Web of Science, PubMed and PsycINFO covering January 2000 to December 2020, 142 peer-reviewed studies met inclusion criteria. The corpus was thematically synthesised against three constructs: structural plasticity, functional plasticity and metaplasticity. Findings converge on five mechanisms with direct L&D relevance: spaced retrieval and consolidation, attentional gating via prefrontal–thalamic circuits, error-driven dopaminergic learning signals, sleep-dependent memory replay and social-affective scaffolding through mirror and mentalising networks. The proposed Neuroplasticity-Aligned Learning (NAL) framework reorganises curriculum, facilitation and reinforcement around these mechanisms, with explicit guardrails for cognitive load, psychological safety and transfer. Implications for instructional designers, capability functions and chief learning officers are discussed, including a maturity model for benchmarking existing L&D portfolios. The paper concludes with a research agenda calling for field-grade neurometric studies that move beyond the laboratory and link plasticity markers to durable, work-relevant performance outcomes.", "year": "2021", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-131" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-131", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "6", "start_page": "181", "end_page": "202", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "neuroplasticity", "adult learning", "workplace learning", "L&D", "cognitive neuroscience", "instructional design" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "The Neuroscience of Motivation at Work: Dopamine, Reward and Performance", "author": [ { "name": "Dr. Arunabha Bhattacharjee", "affiliation": "European International University, Paris" } ], "abstract": "Motivation remains one of the most contested constructs in organisational behaviour, with practical interventions still dominated by extrinsic incentive design despite decades of evidence that intrinsic motivation is the stronger predictor of sustained performance. This paper investigates the neurochemical mechanisms — particularly the mesolimbic and mesocortical dopaminergic systems — that underpin intrinsic motivation in working adults, and tests whether these mechanisms moderate the relationship between job design and self-reported peak performance. A cross-sectional survey was administered to 217 working professionals across Europe and South Asia using validated instruments: the Self-Determination Theory work-motivation scale (W-SDS), the Basic Psychological Needs Satisfaction at Work Scale (BPNS-W), and a peak-performance index adapted from Csikszentmihalyi's flow research. Multiple regression and moderation analysis indicated that satisfaction of the three SDT needs — autonomy, competence, relatedness — explained 41% of the variance in peak-performance frequency (R² = 0.41, p < .001), with competence emerging as the strongest unique predictor (β = 0.34). A neurochemical mediation pathway is theorised: job designs that satisfy SDT needs sustain tonic dopamine in mesocortical circuits supporting goal-directed behaviour, whereas extrinsic-incentive-heavy designs produce phasic spikes that are poorly correlated with sustained engagement. Implications for compensation philosophy, performance management and job crafting are discussed, with a critique of the gamification practices that proliferated in the 2015–2020 period.", "year": "2021", "month": "12", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-132" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-132", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "7", "number": "12", "start_page": "181", "end_page": "202", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "motivation", "dopamine", "self-determination theory", "reward", "peak performance", "organisational neuroscience" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Stress, Cortisol and Cognitive Performance: Implications for Workplace Wellbeing", "author": [ { "name": "Dr. Arunabha Bhattacharjee", "affiliation": "European International University, Paris" } ], "abstract": "Chronic occupational stress is widely recognised as a public-health concern, yet most workplace wellbeing programmes intervene at the level of subjective stress symptoms rather than at the level of the underlying neuroendocrine dysregulation that produces them. This mixed-methods study integrates salivary cortisol biomarker data with semi-structured interviews to examine how chronic workplace stressors alter diurnal cortisol patterns and impair cognitive output among knowledge workers. Salivary samples were collected at four diurnal time-points over five working days from 84 participants drawn from three professional-services firms; cognitive output was measured using a working-memory composite (operation span, n-back) and an executive-function composite (Stroop, task-switching). Twenty-two participants subsequently completed in-depth interviews analysed through reflexive thematic analysis. Quantitative findings show that participants in the highest tercile of self-reported chronic stress exhibited a significantly flattened diurnal cortisol slope (b = -0.28, p < .01) and lower cognitive composite scores (d = 0.62) than participants in the lowest tercile, after controlling for sleep, age and caffeine. Qualitative analysis identified four mechanisms through which chronic stressors are sustained: ambient digital interruption, role ambiguity, low schedule control and managerial unpredictability. The paper proposes a Neuroendocrine-Aligned Wellbeing (NEW) framework that targets these upstream mechanisms rather than downstream symptoms, and discusses implications for HR policy, manager development and the design of digital work.", "year": "2022", "month": "03", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-133" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-133", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "3", "start_page": "181", "end_page": "204", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "stress", "cortisol", "cognitive performance", "workplace wellbeing", "HPA axis", "occupational health" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Psychological Safety and the Brain: Neural Correlates of Trust in High-Performance Teams", "author": [ { "name": "Dr. Arunabha Bhattacharjee", "affiliation": "European International University, Paris" } ], "abstract": "Psychological safety has become one of the most cited constructs in contemporary management research, yet its neural underpinnings remain under-theorised in the practitioner literature. This paper investigates the behavioural and neural markers that distinguish psychologically safe from psychologically unsafe team environments, drawing on multi-organisation case studies, leader interviews and a structured synthesis of the social-neuroscience literature on trust, threat and reward. Five organisations spanning technology, professional services, healthcare and manufacturing were studied between January and June 2022. Twenty-eight leader interviews were conducted, supplemented by team-climate surveys (n = 312) and observational notes from forty team meetings. Thematic coding identified four behavioural signatures of high-safety teams (rapid admission of ignorance, productive dissent, low-cost question-asking, error metabolisation) and four signatures of low-safety teams (impression-management overhead, deferred surfacing of problems, performative agreement, scapegoat-seeking). These behavioural signatures are mapped onto known neural circuitry: the social-pain network (dACC, anterior insula) implicated in social threat, the mentalising network (mPFC, TPJ) implicated in inferring others' intentions, and the reward circuitry (ventral striatum) implicated in social affirmation. The paper proposes a leader-behavioural taxonomy with eight observable practices that recruit safety-supportive neural responses, and discusses implications for leadership development, performance management and team chartering.", "year": "2022", "month": "06", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-134" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-134", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "6", "start_page": "181", "end_page": "203", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "psychological safety", "trust", "social neuroscience", "high-performance teams", "leadership", "threat response" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Cognitive Load Theory in Talent Development: A Neuroscience Perspective on Learning Transfer and Retention", "author": [ { "name": "Dr. Arunabha Bhattacharjee", "affiliation": "European International University, Paris" } ], "abstract": "Despite substantial investment in corporate learning, post-training transfer rates remain disappointingly low. This experimental study tests whether reorganising a typical L&D programme around the principles of Cognitive Load Theory (CLT), interpreted through a working-memory and consolidation framework, produces measurable improvements in retention and transfer. A randomised controlled design was used: 124 mid-level managers from a multinational professional-services firm were randomly assigned to a control condition delivering the firm's existing four-day leadership programme, or to an intervention condition delivering the same content reorganised around four CLT-aligned design choices: intrinsic load segmentation, extraneous load reduction, germane load amplification through retrieval practice, and consolidation-aware spacing. Outcomes were measured at three time points: immediate (T1), 30 days (T2), and 90 days (T3) post-programme, using a multiple-choice knowledge test, a scenario-based application task, and manager-rated behavioural application. ANCOVA controlling for prior knowledge revealed significant intervention effects at T2 (knowledge: ηp² = 0.18; application: ηp² = 0.21; behaviour: ηp² = 0.14) that strengthened by T3 (knowledge: ηp² = 0.24). The findings provide empirical support for CLT-aligned redesign in adult workplace learning and have direct implications for the design of leadership and capability programmes.", "year": "2022", "month": "09", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-135" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-135", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "8", "number": "9", "start_page": "181", "end_page": "204", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "cognitive load theory", "talent development", "learning transfer", "working memory", "retention", "instructional design" ], "subject": [ { "scheme": "keyword", "term": "Education" } ] } }, { "bibjson": { "title": "Emotional Intelligence and the Prefrontal Cortex: Implications for Leadership Capability", "author": [ { "name": "Dr. Arunabha Bhattacharjee", "affiliation": "European International University, Paris" } ], "abstract": "Emotional intelligence (EI) has become a near-universal feature of leadership-development curricula, yet its mechanistic relationship with neural substrates of executive control and social cognition is rarely articulated in the practitioner literature. This study integrates a conceptual treatment of prefrontal cortical contributions to EI with an empirical test of the EI–leadership-effectiveness relationship in a multi-organisation sample. Validated EI instruments — the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT) and the Bar-On Emotional Quotient Inventory (EQ-i 2.0) — were administered to 184 senior leaders across six organisations, alongside 360-degree leadership-effectiveness ratings (n = 1,612 raters). Structural equation modelling tested a hypothesised model in which EI dimensions predict leadership effectiveness, mediated by direct-report-perceived psychological safety. The model fit the data well (CFI = 0.95, RMSEA = 0.06). EI explained 38% of the variance in leadership effectiveness, with strategic-EI branches (managing emotions, facilitating thought) showing larger effects than experiential branches. Psychological safety mediated approximately 45% of the total effect. The findings are interpreted through the lens of prefrontal–limbic regulatory circuitry and have direct implications for the design of leadership selection, development and succession.", "year": "2023", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-136" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-136", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "1", "start_page": "181", "end_page": "203", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "emotional intelligence", "prefrontal cortex", "leadership", "SEM", "360-degree feedback", "executive function" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "Mindfulness, the Default Mode Network and Workplace Resilience: A Longitudinal Intervention Study", "author": [ { "name": "Dr. Arunabha Bhattacharjee", "affiliation": "European International University, Paris" } ], "abstract": "Workplace mindfulness programmes have proliferated, but the mechanistic question — whether and how they alter the neural substrates of resilience — remains under-tested in field settings. This longitudinal intervention study evaluates an 8-week Mindfulness-Based Stress Reduction (MBSR) programme delivered to 96 working professionals, with measurement at baseline, post-programme and 6-month follow-up. Primary outcomes were the Brief Resilience Scale (BRS) and the Connor-Davidson Resilience Scale (CD-RISC); secondary outcomes were perceived stress (PSS-10) and emotional reactivity (DERS). A waitlist control condition (n = 47) provided comparison data. Repeated-measures ANOVA revealed significant time × condition interactions for BRS (ηp² = 0.16), CD-RISC (ηp² = 0.19), PSS-10 (ηp² = 0.14) and DERS (ηp² = 0.11). Effects were maintained at 6-month follow-up. The findings are interpreted against the neuroimaging literature on mindfulness and the default mode network (DMN): consistent intervention-related decreases in DMN connectivity reported in laboratory studies are theorised to underlie the affective-reactivity reductions observed here. The paper proposes a Resilience-Mechanism Map linking mindfulness practice to four downstream workplace capabilities — interruption recovery, perspective-taking, equanimity under feedback, and ruminative disengagement — and offers implementation guidance for HR leaders considering programme adoption.", "year": "2023", "month": "05", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-137" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-137", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "5", "start_page": "181", "end_page": "203", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "mindfulness", "default mode network", "resilience", "MBSR", "longitudinal", "workplace wellbeing" ], "subject": [ { "scheme": "keyword", "term": "Healthcare" } ] } }, { "bibjson": { "title": "Habit Formation and Behavioural Change at Work: A Basal Ganglia Model for Sustained Capability Building", "author": [ { "name": "Dr. Arunabha Bhattacharjee", "affiliation": "European International University, Paris" } ], "abstract": "Behavioural-change programmes at work — from safety initiatives to digital adoption rollouts to inclusive-leadership campaigns — routinely produce strong initial uptake followed by gradual reversion to baseline. This paper proposes that the dominant programme architecture, which relies on motivation and intention, is fundamentally mismatched with the neural mechanisms that produce durable behavioural change: the basal-ganglia-mediated habit system, which operates largely outside conscious deliberation. An empirical study tested a habit-loop-aligned redesign of a digital-collaboration-tool adoption programme in a 1,400-employee technology firm. A survey instrument (n = 312) and 90-day app-derived habit-tracking data (n = 218) were analysed using latent growth curve modelling (LGCM). Participants in the habit-aligned condition showed a significantly steeper acquisition slope and a significantly shallower decay slope than participants in the conventional condition. Consistency of contextual cues emerged as the strongest predictor of habit formation (β = 0.41), followed by reward immediacy (β = 0.27) and friction reduction (β = 0.22). The findings have direct implications for the design of behavioural-change programmes at scale: motivation-centric architectures should be displaced or supplemented by habit-loop-aligned designs that engineer cues, reduce friction and accelerate reward signalling.", "year": "2023", "month": "08", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-138" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-138", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "8", "start_page": "181", "end_page": "203", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "habit formation", "behavioural change", "basal ganglia", "capability building", "LGCM", "behavioural design" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } }, { "bibjson": { "title": "The Neuroscience of Diversity and Inclusion: Cognitive Bias, Threat Perception and Belonging", "author": [ { "name": "Dr. Arunabha Bhattacharjee", "affiliation": "European International University, Paris" } ], "abstract": "Diversity and inclusion (D&I) has accumulated substantial empirical evidence for its business and ethical case, but the dominant intervention — short-form unconscious-bias training — has accumulated equally substantial evidence for its limited and sometimes counterproductive effects. This mixed-methods study reframes D&I through the lens of social neuroscience, distinguishing the implicit-association substrate (which is genuinely modifiable but not by single-session training), the threat-perception substrate (which determines how out-group members are processed in real-time interaction), and the belonging substrate (which determines whether members of under-represented groups can fully deploy their cognitive and creative capacities). Implicit Association Tests (n = 187), focus groups (n = 8 groups, 54 participants) and organisational outcome data from three organisations (engagement, retention, promotion velocity) were integrated. Findings show that IAT scores were modifiable by sustained, structurally embedded interventions but unchanged by single-session training; that threat-perception in cross-group interaction was reduced most powerfully by sustained contact under conditions of equal status and shared goals; and that belonging — operationalised as Walton & Cohen-style identity-safety cues — predicted retention and promotion velocity for under-represented members above and beyond engagement scores. A neuroscience-informed D&I intervention architecture is proposed, with implications for HR strategy and policy.", "year": "2023", "month": "10", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-139" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-139", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "9", "number": "10", "start_page": "181", "end_page": "204", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "diversity", "inclusion", "cognitive bias", "threat perception", "belonging", "social neuroscience" ], "subject": [ { "scheme": "keyword", "term": "Social Sciences" } ] } }, { "bibjson": { "title": "An Integrated Neuroscience Model for Unlocking Human Potential at Work: Theory, Practice and a Research Agenda", "author": [ { "name": "Dr. Arunabha Bhattacharjee", "affiliation": "European International University, Paris" } ], "abstract": "This paper synthesises the preceding nine investigations into a single integrated model — the Workplace Neuroscience Integration (WNI) model — that articulates how neuroplasticity, motivation, stress, psychological safety, cognitive load, emotional intelligence, mindfulness, habit formation and inclusion interlock to determine the realisable human potential of an organisation. Building on a meta-synthesis of the prior empirical and conceptual contributions, expert validation through a panel of eighteen senior practitioners and academics, and grounded-theory-style coding of cross-paper themes, the model organises the field along three layers: a *neurobiological substrate* (plasticity, dopaminergic motivation, HPA-axis regulation, prefrontal–limbic integration), an *organisational mediator* layer (psychological safety, cognitive-load-aligned design, identity-safety architecture, habit-aligned behaviour-change design) and a *capability outcome* layer (learning velocity, sustained motivation, executive performance under load, inclusive collaboration, behavioural durability). Each layer constrains and enables the others; interventions that target a single layer produce limited or transient effects, whereas integrated interventions that engage all three produce compounding gains. The paper concludes with a research agenda spanning eight priority questions and an implementation roadmap for organisations seeking to operationalise the model. The thesis is that human potential at work is not a fixed individual property to be selected or rationed, but a system property that organisations can deliberately enlarge — provided they intervene in alignment with the neurobiology that ultimately produces capability.", "year": "2024", "month": "01", "identifier": [ { "type": "uri", "id": "https://nexarapublish.org/paper/NXR-140" } ], "link": [ { "url": "https://nexarapublish.org/paper/NXR-140", "type": "fulltext", "content_type": "text/html" } ], "journal": { "title": "NEXARA — International Journal of Emerging Research & Innovation", "volume": "10", "number": "1", "start_page": "181", "end_page": "206", "publisher": "NEXARA Publications", "language": [ "EN" ], "country": "IN", "license": [ { "url": "https://creativecommons.org/licenses/by/4.0/", "type": "CC BY", "open_access": true } ] }, "keywords": [ "organisational neuroscience", "integrated model", "human potential", "capability building", "theoretical synthesis", "workplace performance" ], "subject": [ { "scheme": "keyword", "term": "Management" } ] } } ] }