Deconstructing Bentham’s Panopticon: The New Metaphors of Surveillance in the Web 2.0 Environment by Manuela Farinosi

“…This article reflects on the meaning of the words “control” and “privacy” in light of the intensive diffusion of user generated content on the web. …”
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Big data transfer service architecture for cloud data centers: problems, methods, applications, and future trends by Muhammad Umar Majigi, Ismaila Idris, Shafi’i Muhammad Abdulhamid, Richard A. Ikuesan

“…After thoroughly screening selected peer-reviewed articles, the primary open issues are: incorporating a data placement module in the data transfer service, providing end-to-end safeguards for packet delivery, improving data transfer time and speed, minimizing costs and implementation overhead, ensuring secure data transfer between servers in the cloud, demonstrating effective big data transfer architectures, considering topology-specific extensions to reduce the busty nature of data centers, and enhancing data transfer services using machine learning algorithms during upload and download operations. …”
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Student nurses’ views regarding disclosure of patients’ confidential information by M.C. Matlakala, J.D. Mokoena

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Calibrated optional randomized response techniques for efficient and robust estimation of quantitative sensitive variables by Ahmed Audu, Mojeed Abiodun Yunusa, Maggie Aphane, Maria Lekganyane

“…Numerical applications using both real and simulated data supported the theoretical findings, demonstrating that the C-ORRT models exhibited lower biases, reduced variances, higher relative efficiency, enhanced privacy levels, and a better combined metric of variance and privacy. …”
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Ethical and regulatory challenges in machine learning-based healthcare systems: A review of implementation barriers and future directions by Shehu Mohammed, Neha Malhotra

“…Key issues concern patient data privacy, algorithmic bias, absence of transparency, and ambiguous legal liability. …”
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A Decentralized Framework for the Detection and Prevention of Distributed Denial of Service Attacks Using Federated Learning and Blockchain Technology by Mao-Hsiu Hsu, Chia-Chun Liu

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Design of an Improved Model for Smart Grid Pricing Using ST-GNN-PNet and MAD-RL-StackelNet by Jalit S. A., Warkad S. B., Rane P. R., Bonde S. V.

“…However, current pricing models fail to capture spatio-temporal load behavior, consumer heterogeneity, and externalities like emissions. Privacy constraints also hinder granular data collection, causing revenue loss. …”
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Distance caregiving using smart home technologies: balancing ethical priorities in family decision-making by only children by Yi Jiao Angelina Tian, Michael Dunn, Silke Schicktanz, Julian Savulescu, Tenzin Wangmo

“…We used the applied thematic analysis methodology to analyze the data. …”
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Artificial Intelligence Use in Daily and Professional Life among Pediatric Surgeons in India: A Roadmap for Adoption Based on Online Survey Results by Ankur Mandelia, Vinayak S. Rengan, Alish Rajesh Mehta, Aseesh Varma Vankam, Ramesh Babu, Sumitra Kumar Biswas, Vikesh Agrawal

“…Addressing barriers such as ethical concerns, data privacy, and cost could catalyze AI’s potential to revolutionize pediatric surgical care. …”
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Automated Digital Safety Planning Interventions for Young Adults: Qualitative Study Using Online Co-design Methods by Jonah Meyerhoff, Sarah A Popowski, Tanvi Lakhtakia, Emily Tack, Rachel Kornfield, Kaylee P Kruzan, Charles J Krause, Theresa Nguyen, Kevin Rushton, Anthony R Pisani, Madhu Reddy, Kimberly A Van Orden, David C Mohr

“…Young adult participants also shared 3 key technological needs of an automated intervention: (1) transparency about how the intervention functions, the kinds of actions it does and does not take, the limits of confidentiality, and the role of human oversight within the program; (2) strong privacy practices—data security around how content within the intervention and how private data created by the intervention would be maintained and used was extremely important to young adult participants given the sensitive nature of suicide-related data; and (3) usability, convenience, and accessibility were particularly important to participants—this includes having an approachable and engaging message tone, customizable message delivery options (eg, length, number, content focus), and straightforward menu navigation. …”
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Evaluation of the predictors of tooth loss using artificial intelligence-based machine learning approach: A retrospective study by Amit Rajabhau Pawar, Sankari Malaiappan, Pradeep Kumar Yadalam, P R Ganesh

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Robust Color Image Encryption Scheme Based on RSA via DCT by Using an Advanced Logic Design Approach by Khalid Kadhim Jabbar, Fahmi Ghozzi, Ahmed Fakhfakh

“…On the other hand, images are used in many procedures. Therefore, preventing unauthorized access to image data is crucial by encrypting images to protect sensitive data or privacy. …”
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Secure Latency-Aware Task Offloading Using Federated Learning and Zero Trust in Edge Computing for IoMT by Waleed Almuseelem

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Secure and intelligent 5G-enabled remote patient monitoring using ANN and Choquet integral fuzzy VIKOR by Seelammal Chinnaperumal, Muthusamy Periyasamy, Amel Ali Alhussan, Subhash Kannan, Doaa Sami Khafaga, Sekar Kidambi Raju, Marwa M. Eid, El-Sayed M. El-kenawy

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A Denoising Diffusion Probabilistic Model-Based Human Respiration Monitoring Method Using a UWB Radar by Ping Wang, Haoran Liu, Xiusheng Liang, Zhenya Zhang

“…This paper proposes a denoising diffusion probabilistic model (DDPM)-based human respiration monitoring method using an ultra-wideband (UWB) radar, where the localization calculation of the target based on the respiration-motion energy ratio, maximum ratio combining (MRC), and principal component analysis (PCA) are included for data enhancement. …”
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Using telemedicine to support care for people with type 2 diabetes mellitus: a qualitative analysis of patients’ perspectives by Jun Yang Lee, Carina Ka Yee Chan, Siew Siang Chua, Thomas Paraidathathu, Kenneth Kwing-Chin Lee, Christina San San Tan, Nazrila Nasir, Shaun Wen Huey Lee

“…Four themes emerged from the analysis: (1) generational difference; (2) independence and convenience, (3) sharing of health data and privacy and (4) concerns and challenges. …”
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Federated learning-based CT liver tumor detection using a teacher‒student SANet with semisupervised learning by Cheng-Shun Lee, Jenn-Jier James Lien, Kai Chain, Li-Chun Huang, Zhong-Wei Hsu

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Establishing and evaluating trustworthy AI: overview and research challenges by Dominik Kowald, Dominik Kowald, Sebastian Scher, Sebastian Scher, Viktoria Pammer-Schindler, Viktoria Pammer-Schindler, Peter Müllner, Kerstin Waxnegger, Lea Demelius, Lea Demelius, Angela Fessl, Angela Fessl, Maximilian Toller, Inti Gabriel Mendoza Estrada, Ilija Šimić, Vedran Sabol, Andreas Trügler, Andreas Trügler, Andreas Trügler, Eduardo Veas, Eduardo Veas, Roman Kern, Roman Kern, Tomislav Nad, Simone Kopeinik

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Synthetic data production for biomedical research by Yun Gyeong Lee, Mi-Sook Kwak, Jeong Eun Kim, Min Sun Kim, Dong Un No, Hee Youl Chai

“…Synthetic data, generated using advanced artificial intelligence (AI) techniques, replicates the statistical properties of real-world datasets while excluding identifiable information. …”
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Women’s hospital birth experiences in Harar, eastern Ethiopia: a qualitative study using Roy’s Adaptation Model by Roseanne C Schuster, Nega Assefa, Maleda Tefera, Kedir Teji Roba, Letta Gedefa, Alex Brewis

“…Interviews were audio-recorded and transcribed on the spot and the interviews were analysed using a deductive content analysis approach. Data were analysed using the four components of Roy’s Adaptation Model (RAM) as a guiding framework of women’s experiences: physiological, self-concept, role and function, and interdependence.Results Various behaviours were identified: under physiological mode, common behaviours identified included labour pain, fatigue, surgical site pain and anaesthesia-related complication. …”
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