Federated Online Learning for adaptive load forecasting across decentralized nodes by Mohamed Ahmed T.A. Elgalhud, Mohammad Navid Fekri, Syed Mir, Katarina Grolinger

“…The main drawbacks are twofold: (1) data sharing and transfer results in privacy and security risks, and (2) static models miss opportunities to learn from new data. …”
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Cross-Receiver Radio Frequency Fingerprint Identification: A Source-Free Adaptation Approach by Jian Yang, Shaoxian Zhu, Zhongyi Wen, Qiang Li

“…We propose a novel approach called contrastive source-free cross-receiver network (CSCNet), which employs contrastive learning to facilitate model adaptation using only unlabeled data from the deployed receiver. …”
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Blockchain-Based Mobile Edge Computing Framework for Secure Therapy Applications by MD. Abdur Rahman, M. Shamim Hossain, George Loukas, Elham Hassanain, Syed Sadiqur Rahman, Mohammed F. Alhamid, Mohsen Guizani

“…For security, the framework uses blockchain–Tor-based distributed transactions to preserve the therapeutic data privacy, ownership, generation, storage, and sharing. …”
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Leveraging large language models for the deidentification and temporal normalization of sensitive health information in electronic health records by Hong-Jie Dai, Tatheer Hussain Mir, Ching-Tai Chen, Chien-Chang Chen, Hao-Ping Yang, Chung-Hong Lee, Yi-Yun Chou, Yu-Chin Teng, Shalini Gupta, Omkar Panchal, Divyabharathy Ramesh Nadar, Wei-Hsiang Liao, Yu-Chuan Lin, Zi-Rui Zhao, Richard Tzong-Han Tsai, Yung-Chun Chang, Jitendra Jonnagaddala

“…Abstract Secondary use of electronic health record notes enhances clinical outcomes and personalized medicine, but risks sensitive health information (SHI) exposure. …”
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Influencing Factors and Correlations of User Satisfaction with Mobile Health Applications by SHI Qin, XIE Jing, WU Shang

“…Using the grounded theory, the study extracted factors influencing user satisfaction with mobile health applications by coding the review data. …”
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Gathering requirements for IoT-assisted wellbeing in elementary school—a multi-stakeholder perspective by Karin Brodén, Jonas Andersson, Agnieszka Kitkowska, Awais Ahmad, Peter Mozelius

“…We analyzed the data in an inductively and deductively way, using the Konu and Rimpelä’s wellbeing framework.ResultsOur novel findings reveal alignment between staff and student perspectives across the framework’s categories: having, loving, being and health. …”
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A Comprehensive Investigation of Anomaly Detection Methods in Deep Learning and Machine Learning: 2019–2023 by Shalini Kumari, Chander Prabha, Asif Karim, Md. Mehedi Hassan, Sami Azam

“…FL provides a collaborative way to improve AD using distributed data sources and data privacy.…”
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Generative AI, IoT, and blockchain in healthcare: application, issues, and solutions by Tehseen Mazhar, Sunawar khan, Tariq Shahzad, Muhammad Amir khan, Mamoon M. Saeed, Joseph Bamidele Awotunde, Habib Hamam

“…Abstract This article discusses Blockchain and Generative AI in healthcare, including their uses, difficulties, and solutions. Blockchain technology improves EHR security, privacy, and interoperability, while smart contracts streamline supply chain management and administrative procedures. …”
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The Role of Artificial Intelligence (AI) in Transforming Small and Medium Enterprises (SMEs): by Mugisha, Justin, Francis Adyanga, Akena, Ocan, Johnson

“…Also, it was found that building workforce capacity through collaborations and customized training programs can help close the skills gap, while improving cybersecurity and implementing efficient data management frameworks can help with privacy issues. …”
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Wireless Body Area Network (WBAN) based Health Care Monitoring: A Comprehensive Review by Qaisar Ayyub

“…Using multiple WBAN techniques, we aim to identify which techniques are giving better results in data transmission, storing, and maintaining patient data privacy and also identify the best performance using multiple techniques based on the two most important parameters such as ‘throughput’, and ‘delay’. …”
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Revolutionizing Sports: The Role of Wearable Technology and AI in Training and Performance Analysis by Stanisław Dudek, Weronika Koziak, Michalina Makieła, Aleksandra Bętkowska, Agata Kornacka, Wojciech Dudek, Kamila Szostak, Rafał Tomaka, Anna Byra

“…Additionally, AI-driven wearables raise concerns over data security, ethical handling, and equitable access, as high costs limit their use in amateur sports. …”
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Evaluating new technologies and organizational structures by Ofira Schwartz, Michele Hayslett

“…Co-authors Knut Wenig and Xiaoyao Han are examining the findability of data deposited in data repositories that are using DDI metadata standards. …”
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Human-Centered Design of an mHealth Tool for Optimizing HIV Index Testing in Wartime Ukraine: Formative Research Case Study by Nancy Puttkammer, Elizabeth Dunbar, Myroslava Germanovych, Mariia Rosol, Matthew Golden, Anna Hubashova, Vladyslav Fedorchenko, Larisa Hetman, Liudmyla Legkostup, Jan Flowers, Olena Nesterova

“…CASI-Plus provides client-facing information on APS methods and uses a standardized, self-guided questionnaire with nonjudgmental language for clients to list partners who would benefit from HIV testing. …”
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“Invisible wounds of childbirth”; women’s experiences of obstetric violence: a phenomenological qualitative study by Esra Özer, Döndü Sevimli Güler

“…The interview data were transcribed and then subjected to qualitative content analysis in accordance with Standards for Qualitative Research Reporting (SRQR) using Graneheim and Lundman’s content analysis method. …”
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Preferences and Willingness to Pay for Health App Assessments Among Health Care Stakeholders: Discrete Choice Experiment by Anna-Lena Frey, Simon Leigh, Carla Toro, Carme Pratdepàdua Bufill, Charles McCay, Tatjana Prenđa Trupec, Giuseppe D'Avenio, Menno Kok, Antanas Montvila, Philipp Goedecker, Petra Hoogendoorn

“… BackgroundThe adoption of high-quality health apps has been slow, despite the myriad benefits associated with their use. This is partly due to concerns regarding the effectiveness, safety, and data privacy of such apps. …”
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Mitochondrial disease registries worldwide: A scoping review. by Ammanie Abdul-Fatah, Leila Esmaeilisaraji, Crisel Mae Juan, Martin Holcik

“…These include establishing registry objectives, respecting patients and their roles in the registry, adopting international data standards, data evaluations, and considerations to privacy legislation, among others. …”
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Advancing Hematopoietic Stem Cell Transplantation Typing: Harnessing Hyperledger Fabric’s Blockchain Architecture by Meng Wu, Feng Xu, Geetha Subramaniam, Zeyu Li, Liyun Chen, Wenjuan Zhu

“…This innovative approach optimizes user experience, maintains data integrity, and ensures privacy. Future integration with existing databases could enable secure data sharing among healthcare institutions, allowing rapid verification of data ownership and unified authentication. …”
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Strengthening health information systems and inherent statistical outputs for improved malaria control and interventions in western Kenya by Taliyah Griffin, Felix Pabon-Rodriguez, Felix Pabon-Rodriguez, George Ayodo, Yan Zhuang

“…Methods such as spatiotemporal models using climate and case data can improve outbreak predictions, while machine learning techniques can optimize insecticide-treated bed net distributions by pinpointing high-risk households. …”
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A NLP analysis of digital demand for healthcare jobs in China by Yirui Chen, Xinrui Zhan, Wencan Yang, Xueying Yan, Yuxin Du, Tieniu Zhao

“…This involved designing task-specific prompts, preprocessing the data to remove duplicates and normalize text, and training the model using the Hugging Face Transformers library. …”
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The Effect of AI (Artificial Intelligence) in Education on Student Motivation: A Systematic Literature Review by Badarudin, Lalu Parhanuddin, Ahmad Tohri, Muhammad Suhardi

“…However, challenges such as limited technological access, resistance to change, and concerns regarding data privacy and ethics remain critical barriers. …”
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