Unleashing the Potential of Blockchain and Machine Learning: Insights and Emerging Trends From Bibliometric Analysis by Nouhaila El Akrami, Mohamed Hanine, Emmanuel Soriano Flores, Daniel Gavilanes Aray, Imran Ashraf

“…Alternatively, ML is a sub-field of artificial intelligence (AI) that empowers systems to enhance their performance by learning from data. The integration of these data-driven paradigms holds the potential to reinforce data privacy and security, improve data analysis accuracy, and automate complex processes. …”
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Federated deep reinforcement learning-based urban traffic signal optimal control by Mi Li, Xiaolong Pan, Chuhui Liu, Zirui Li

“…The proposed method improves the model generalization ability of different local models during global cross-region distributed joint training under the premise of ensuring information security and data privacy, solves the problem of non-independent and homogeneous distribution of environmental data faced by different agents in real intersection scenarios, and significantly accelerates the convergence speed of the model training phase. …”
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Money Laundering Practices and Singapore’s Steps Against Indonesian Tax Amnesty by Septyanto Galan Prakoso, Royce Kharisma Agung Wibowo, Nadia Dian Ardita, Ferdian Ahya Al Putra, Retnaningtyas Puspitasari

“…Eitemen and Money Laundering Concept itself. This paper uses an explanative qualitative method, and a literature study to obtain the data to strengthen this paper. …”
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Patient Satisfaction Regarding Quality Nursing Care by Valentina Christi, Anandi Macwan, Sangita Valand, Dolita Gohil

“…Overall the data showed that patientrsquos expectations in some aspects were not sufficiently matched. …”
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Policy Factors Affecting the Technological Catch-up of Electronic Health Services in Iran through Blockchain Technology by Reza Naghizadeh

“…According to the Blockchain Opportunity window, a technological and economic catch-up is possible in e-health services in the country. Decentralization, data transparency, security and privacy are the key features of Blockchain technology. …”
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Learning from the first: a qualitative study of the psychosocial benefits and treatment burdens of long‐acting cabotegravir/rilpivirine among early adopters in three U.S. clinics by Katerina A. Christopoulos, Mollie B. Smith, Priyasha Pareek, Alicia Dawdani, Xavier A. Erguera, Kaylin V. Dance, Ryan S. Walker, Janet Grochowski, Francis Mayorga‐Munoz, Matthew D. Hickey, Mallory O. Johnson, John Sauceda, Jose I. Gutierrez Jr., Elizabeth T. Montgomery, Jonathan A. Colasanti, Lauren F. Collins, Moira C. McNulty, Kimberly A. Koester

“…Clinical data were abstracted from the medical record. Results The sample (San Francisco n = 25, Atlanta n = 20, Chicago n = 14 for total n = 59, median number of injections = 6) consisted of 48 PWH using CAB/RPV‐LA and 11 who had discontinued. …”
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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

“…This study contributes to the field by providing a robust real-time solution for detecting deepfakes in audio–visual synthetic data, ensuring enhanced detection accuracy and effective generalization across various deepfake manipulations and demographic data.…”
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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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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

“…The rapid expansion of 5G networks and edge computing has amplified security challenges in Internet of Things (IoT) environments, including unauthorized access, data tampering, and DDoS attacks. This paper introduces EdgeChainGuard, a hybrid blockchain-based authentication framework designed to secure 5G-enabled IoT systems through decentralized identity management, smart contract-based access control, and AI-driven anomaly detection. …”
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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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