Investigative genetic genealogy practices warranting policy attention: Results of a modified policy Delphi. by Christi J Guerrini, Louiza Kalokairinou, Jill O Robinson, Whitney Bash Brooks, Stephanie M Fullerton, Sara Huston, Jacklyn Dahlquist, Diana Madden, Norah Crossnohere, Nicola Campoamor, John F P Bridges, Amy L McGuire

“…These top priority practices relate to: consent and notification; case eligibility and criteria; data management, privacy, and security; and governance and accountability. …”
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SparseBatch: Communication-efficient Federated Learning with Partially Homomorphic Encryption by Chong Wang, Jing Wang, Zheng Lou, Linghai Kong, WeiSong Tao, Yun Wang

“…It operates by aggregating local gradient updates contributed by participating clients, all the while safeguarding the privacy of sensitive data. Industrial FL frameworks employ additively homomorphic encryption (HE) to ensure that local gradient updates are masked during aggregation, guaranteeing no update is revealed. …”
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Exploring the promising role of internet of things in urban water systems: a comprehensive global analysis of insights, trends, and research priorities by Shaher Zyoud

“…Most explored areas include water quality monitoring, leak detection, smart metering, and demand management, while challenges in the future lie in data security, privacy, and interoperability. Despite growing research interests, gaps remain in standardization, community engagement, and developing robust IoT architectures. …”
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Cross-Room CO₂-Based Presence Detection for Occupancy Profiling by Jelle Vanhaeverbeke, Emiel Deprost, Steven Verstockt, Sofie van Hoecke

“…The first contribution involves the development of a presence detection model based on CO2 data, which is easy to measure and non-privacy intrusive. …”
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Unlocking potential of open source model training in decentralized federated learning environment by Ekaterina Pavlova, Grigorii Melnikov, Yury Yanovich, Alexey Frolov

“…Decentralized Federated Learning (DFL) offers decentralized approaches to model training while safeguarding data privacy and ensuring resilience against adversarial participants. …”
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Parents’ understanding and attitudes toward the application of AI in pediatric healthcare: a cross-sectional survey study by Yan-Dan Huang, Shu-Long Zeng, Jie Lin, Zhi-Peng Mao, Qi-Liang Zhang, Gao-Zhong Feng, Qiong-Xia Ou

“…Most participants (91.1%) believed that AI cannot replace doctors in the future.ConclusionAlthough most parents were aware of the use of AI in pediatric healthcare and recognized its convenience and efficiency, they expressed concerns about accuracy, accountability, and data privacy. …”
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Looking Back on Digital Medical Education Over the Last 25 Years and Looking to the Future: Narrative Review by Oluwadamilola Ogundiya, Thahmina Jasmine Rahman, Ioan Valnarov-Boulter, Tim Michael Young

“…The rapid evolution and use of web-based and digital techniques have been significantly transforming this field since the beginning of the new millennium. …”
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Blockchain-Enhanced Security for 5G Edge Computing in IoT by Manuel J. C. S. Reis

“…By combining permissioned and permissionless blockchain layers with Layer-2 scaling solutions and adaptive consensus mechanisms, the framework enhances both security and scalability while maintaining computational efficiency. Using synthetic datasets that simulate real-world adversarial behaviour, our evaluation shows an average authentication latency of 172.50 s and a 50% reduction in gas fees compared to traditional Ethereum-based implementations. …”
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Why We Disclose on Social Media? Towards a Dual-Pathway Model by Qiyu Bai, Qi Dan, Yumin Choi, Siyang Luo

“…A moderated mediation model was proposed and tested using cross-sectional survey data collected from 1519 Chinese netizens. …”
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A Review of the Authentication Techniques for Internet of Things Devices in Smart Cities: Opportunities, Challenges, and Future Directions by Ashwag Alotaibi, Huda Aldawghan, Ahmed Aljughaiman

“…This study aims to identify gaps and propose future research directions to develop robust authentication frameworks that protect user privacy and data integrity.…”
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A Bibliometric Analysis on Federated Learning by Ersin Namlı, Yusuf Sait Türkan, Mesut Ulu, Ömer Algorabi

“…With the rapid advancement of technology and growing concerns about data privacy, federated learning (FL) has attracted considerable attention from the scientific community. …”
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Future perspectives on internet of vehicles resource management: digital twin-enabled edge computing frameworks by Jihong Xie, Gui Wu, Xiang Zhou, Shanshan Deng

“…Existing approaches are then discussed and compared using clustering, matching, and offloading approaches. …”
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COVID-19 and the implications of social and hospital isolation for older adults by Renata Bezerra de Holanda Bessa, Karla Patrícia Martins Ferreira, Cynthia de Freitas Melo, Letícia Keroly Bezerra Alexandrino, Bianca de Sousa Nogueira

“…Method This is an exploratory, descriptive, and qualitative study conducted with 16 hospitalized older adults, who answered a sociodemographic questionnaire and a guiding question. Data were analyzed through textual analysis using the Interface de R pour les Analyses Multidimensionnelles de Textes et de Questionnaires (IRaMuTeQ) software. …”
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Dispute Resolution in Islamic Economic Transactions: The Role and Function of Sharia Arbitration by Gunawan Widjaja

“…This study examines the function and role of Sharia-based arbitration, focusing on its alignment with the values of justice, efficiency, and confidentiality within Islamic law. Using a literature-based methodology, the research analyzes secondary data from legal sources and previous studies on Sharia arbitration in Indonesia, particularly the practices of the Sharia Arbitration Body (BASYARNAS-MUI). …”
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A Comprehensive Survey of Deep Learning Approaches in Image Processing by Maria Trigka, Elias Dritsas

“…Metrics used for rigorous model evaluation are also discussed, underscoring the importance of performance assessment in varied application contexts. …”
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The Role of Artificial Intelligence in Personalized Medicine: A Computer Science Perspective by Raul Mihai RADULESCU

“… This abstract investigates the role of AI in personalized medicine using a computer science lens that connects the underlying theories with their actual applications. …”
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Artificial Intelligence in Religious Education: Ethical, Pedagogical, and Theological Perspectives by Christos Papakostas

“…Amid increasing digital transformation in education, theological institutions are exploring AI tools for teaching, assessment, and pastoral engagement. Using a critical literature review and analysis of institutional case studies, the paper examines the historical development of AI in education, current applications in general and theological contexts, and the ethical challenges it introduces, especially regarding decision making, data privacy, and bias as well as didactically grounded opportunities such as AI-mediated dialogic simulations. …”
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Towards responsible artificial intelligence in education: a systematic review on identifying and mitigating ethical risks by Haotian Zhu, Yao Sun, Junfeng Yang

“…In the technology dimension, risks include privacy invasion, data leakage, algorithmic bias, the black box algorithm, and algorithmic error. …”
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Artificial intelligence and machine learning in production efficiency enhancement and sustainable development: a comprehensive bibliometric review by Aristidis Bitzenis, Nikos Koutsoupias, Marios Nosios

“…Despite the promising advancements, the review identifies gaps in ethical considerations, especially in data privacy and labor market implications, and suggests avenues for future research, including the implementation of AI and ML in developing economies and Small and Medium Enterprises (SMEs).…”
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Benchmarking Federated Few-Shot Learning for Video-Based Action Recognition by Nguyen Anh Tu, Nartay Aikyn, Nursultan Makhanov, Assanali Abu, Kok-Seng Wong, Min-Ho Lee

“…This learning approach is particularly useful but challenging due to the limited availability of labeled video data in practice. …”
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