A Blockchain-Based E-Participation Framework Utilizing Zero-Knowledge Proofs With Guaranteed Sampling and Differential Reward Mechanisms by Jungwon Seo, Juhui Lee, Yunjae Joo, Kangho Lee, Vijayan Sugumaran, Sooyong Park

“…Blockchain-based E-participation systems significantly enhance transparency, data integrity, and security compared to traditional E-participation methods. …”
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Digital assistants for education and support of patients with endocrine disorders by Milić Marko Kimi, Sinanović Šćepan, Prodović Tanja, Subotić Slobodan, Kilibarda Tatjana

“…However, challenges such as data privacy concerns, trust in technology, and acce-ssibility issues remain barriers to broader adoption. …”
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Iman di Era Digital: Praktik Konseling Pastoral Berbasis Teknologi Digital by Andreas Fredriko Simatupang, Gunawan Yuli Agung Suprabowo

“…However, there are also shortcomings such as a lack of mastery of digital technology among companions, data privacy and security issues, formal legitimacy from church authorities, as well as a potential reduction in the depth of interpersonal relationships. …”
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Enhancing heart disease classification with M2MASC and CNN-BiLSTM integration for improved accuracy by Vivek Pandey, Umesh Kumar Lilhore, Ranjan Walia, Roobaea Alroobaea, Majed Alsafyani, Abdullah M. Baqasah, Sultan Algarni

“…Blockchain integration ensures stored health data’s security, transparency, and immutability, addresses privacy concerns, and promotes trust in the predictive system. …”
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Implementing community-based interventions for the management of chronic conditions in low- and middle-income countries: A scoping review of qualitative evidence. by Syreen Hassan, Nancy Kagwanja, Brahima Diallo, Robinson Oyando, Pablo Perel, Anthony Etyang, Benjamin Tsofa, Ellen Nolte, IHCoR-Africa Collaborators

“…Eligible studies were those with a qualitative design that explored implementation challenges and facilitators of community-based interventions. Data were thematically analysed and interpreted using the Socio-Ecological Model (SEM) to capture multi-level influences on implementation. …”
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Towards trustworthy AI-driven leukemia diagnosis: A hybrid Hierarchical Federated Learning and explainable AI framework by Khadija Pervez, Syed Irfan Sohail, Faiza Parwez, Muhammad Abdullah Zia

“…Hierarchical federated learning reduced communication costs by 15% while maintaining data privacy. The integration of explainable artificial intelligence improved the transparency of model decisions, with a high area under the ROC curve (AUC) of 0.98 for the classification of leukemia cells. …”
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Research Progress in Artificial Intelligence for Central Serous Chorioretinopathy: A Systematic Review by Ping Zhang, Qing Zhang, Xinya Hu, Wei Chi, Weihua Yang

“…Incorporating federated learning for privacy-preserving data sharing and prioritizing explainability will be essential to overcoming barriers to physician adoption and improving trust in AI-driven clinical decision-making. …”
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Diagnostic Applications of AI in Sports: A Comprehensive Review of Injury Risk Prediction Methods by Carmina Liana Musat, Claudiu Mereuta, Aurel Nechita, Dana Tutunaru, Andreea Elena Voipan, Daniel Voipan, Elena Mereuta, Tudor Vladimir Gurau, Gabriela Gurău, Luiza Camelia Nechita

“…This review also addresses critical issues such as data quality, ethical concerns, privacy, and the need for transparency in AI applications. …”
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Reinforcement learning based route optimization model to enhance energy efficiency in internet of vehicles by Quadeer Hussain, Ahmad Shukri Mohd Noor, Muhammad Mukhtar Qureshi, Jianqiang Li, Atta-ur Rahman, Aghiad Bakry, Tariq Mahmood, Amjad Rehman

“…However, some issues remain, like data protection, privacy, compatibility with other protocols and systems, and the availability of stable and continuous connections. …”
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New Image Crypto-Compression Scheme Based on Ecc and Chaos Theory for High-Speed and Reliable Transmission of Medical Images in the IOMT by Kinani Khadija El, Amounas Fatima, Bendaoud Salma, Azrour Mourade, Badiy Mohamed

“…Ensuring the security and privacy of medical data is crucial when integrating with smart and intelligent sensor devices within the hospital environment. …”
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Insights from platelet donors in tertiary care hospitals by Swapna Yalamanchili, Vijayashree Raghavan, Femela Muniraj, V. Mythily

“…Statistical Analysis: Data were analyzed using descriptive statistics and percentage analysis with SPSS version 23. …”
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Biometrically-independent fuzzy signatures: signing with biometrics without embedding them by Saki Otsuki, Haruna Higo, Toshiyuki Isshiki, Kengo Mori, Satoshi Obana, Hiroto Tamiya, Kenji Yasunaga

“…However, FS faces two significant privacy concerns. First, using biometric information as the signing key restricts users’ ability to manage multiple distinct keys for different applications. …”
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Factors Influencing Telemedicine Adoption Among Health Care Professionals: Qualitative Interview Study by Fiona Schürmann, Daniel Westmattelmann, Gerhard Schewe

“…Perceived risks were multidimensional, including performance risks such as treatment limitations (mentioned by 7/14, 50% of the participants) and reliance on technical proficiency of patients (5/14, 36%), privacy risks related to data security (10/14, 71%), and time and financial risks associated with training (7/14, 50%) and equipment costs (4/14, 29%). …”
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AI Impact on Hotel Guest Satisfaction via Tailor-Made Services: A Case Study of Serbia and Hungary by Ranko Makivić, Dragan Vukolić, Sonja Veljović, Minja Bolesnikov, Lóránt Dénes Dávid, Andrea Ivanišević, Mario Silić, Tamara Gajić

“…This study examines the level of implementation of artificial intelligence (AI) in the personalization of hotel services and its impact on guest satisfaction through an analysis of tourists’ attitudes and behaviors The focus of the research is on how personalized recommendations for food and beverages, activities, and room services, delivered by trustworthy AI systems, digital experience, and the perception of privacy and data security, influence overall guest satisfaction. …”
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Digital Twins for Smarter Iranian Cities: A Future Studies Perspective by Nader Zali, Ali Soltani, Peyman Najafi, Salima Ebadi Qajari, Mehrdad Mehrju

“…Policy implications suggest that governments should prioritise supportive policies, investments in digital infrastructure, and collaborative efforts to address data privacy, security, and ownership issues. By addressing these challenges, developing countries can leverage UDT technology to improve urban planning, resource management, and quality of life.…”
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Influences of Human Presence on the Indoor Air Quality of Educational Institutions: Concurrent Multipollutant Sensing Approach by Rajib Das, Aritra Acharyya, Shubhankar Majumdar

“…PM findings were inconclusive because of concurrent inhalation effects. All occupancy data were privacy-preserving—images were processed on the device and never stored. …”
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Internet-Based Mass Communication in Multi-Level Marketing Companies Operating in Poland by Nowotarska-Romaniak Beata, Szczepanik Sonia

“…This study examines the areas of Internet-based mass communication (websites, social media) utilized by multi-level marketing (MLM) companies operating in Poland, using methods including literature review, descriptive analysis, and statistical analysis of primary data. …”
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Application of Artificial Intelligence in Prosthodontics in the 21st century by Lavanya V, Keerthivasan MS, Venkatakrishnan CJ, Tamizhesai BV, Anandh V

“…Limitations include a lack of data privacy insufficient practitioner training high implementation costs ethical concerns and incomplete standardization of AI algorithms. …”
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Large-scale long-tailed disease diagnosis on radiology images by Qiaoyu Zheng, Weike Zhao, Chaoyi Wu, Xiaoman Zhang, Lisong Dai, Hengyu Guan, Yuehua Li, Ya Zhang, Yanfeng Wang, Weidi Xie

“…In this paper, we introduce RadDiag, a foundational model supporting 2D and 3D inputs across various modalities and anatomies, using a transformer-based fusion module for comprehensive disease diagnosis. …”
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AI in the Classroom: Insights from Educators on Usage, Challenges, and Mental Health by Julie A. Delello, Woonhee Sung, Kouider Mokhtari, Julie Hebert, Amy Bronson, Tonia De Giuseppe

“…This study highlights a gap in institutional AI policies, leading some educators to establish their own guidelines, particularly for matters such as data privacy and plagiarism. Furthermore, respondents identified a significant need for professional development focused on AI literacy and ethical considerations. …”
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