Audio–Visual Synchronization and Lip Movement Analysis for Real-Time Deepfake Detection by Muhammad Javed, Zhaohui Zhang, Fida Hussain Dahri, Asif Ali Laghari, Martin Krajčík, Ahmad Almadhor

“…By integrating visual and audio features using multimodal fusion techniques, AVSFF aims to distinguish between authentic and manipulated media. …”
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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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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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Knowledge and Views of Patients With Cardiovascular Disease Toward Pharmacogenomics in The United Arab Emirates by Maram O. Abbas, Azhar T. Rahma, Iffat Elbarazi, Bassam R. Ali, George P. Patrinos, Farah Nagy, Alya Osman, Reem K. Alneyadi, Anwar S. Alshamsi, Mohamed Alraqabani, Zeina Al‐Mahayri, Fatma Al‐Maskari

“…Participants were invited via phone calls or in‐person contact at clinics. Data analysis was conducted using SPSS V.29, incorporating descriptive statistics and multivariable logistic regression. …”
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Receptiveness to participating in cannabis research in pregnancy: a survey study at The Ottawa Hospital [version 1; peer review: 2 approved] by Kira Bombay, Amy McGee, Christina Cantin, Kathryn M Denize, Malia SQ Murphy, Daniel J Corsi, Mark C Walker, Shi Wu Wen, Ruth Rennicks White

“…In the design of new cohort studies to evaluate the patterns and outcomes of cannabis use in pregnancy, consideration must be given to the factors influencing participation, data sharing, and contribution of biological samples. …”
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Transformation of Dependent Rights In The Digital Era A Study In Electronic Implementation by Waradatun Nafi’ah, Arofa, Andianita Nur Ilahiyah, Moh Basri, Ahmad Musadad

“…However, in its implementation, there are still various obstacles, such as limited technological infrastructure, low public digital literacy, and challenges in maintaining data security and user privacy. This study uses normative juridical methods, utilizing legal and conceptual approaches to examine the effectiveness of regulations regarding electronic liens. …”
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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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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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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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Barriers facilitators and needs of female sex workers in Arak to access sexual health services a qualitative study by Iman Navidi, Elham Shakibazadeh, Firoozeh Raisi, Samaneh Akbarpour

“…Data were collected and analyzed using qualitative content analysis. …”
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HIV Self-Testing: A Discussion on the Benefits, Limitations, and Implications for Public Health with a Focus on Poland by Aleksandra Kozieł, Igor Domański, Aleksandra Szymczak, Tomasz Dudzik, Brygida Knysz, Bartosz Szetela

“…Results: HIVST is well-accepted, especially among key populations; it can reduce stigma and enhance privacy. The results of studies conducted in Poland indicate that heterosexuals are more inclined to use self-testing methods than traditional diagnostic procedures. …”
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