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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Assessment of the Quality of Smartphone-Based Applications and Games for Teaching Medical Terminology Using the Mobile Application Rating Scale (MARS) by Seyyedeh Fatemeh Mousavi Baigi, Reyhaneh Norouzi Aval, Masoumeh Sarbaz, Khalil Kimiafar

“…The same checklist was used for data extraction. The quality of apps was measured using the Mobile App Rating Scale (MARS). …”
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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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Bootstrapping BI-RADS classification using large language models and transformers in breast magnetic resonance imaging reports by Yuxin Liu, Xiang Zhang, Weiwei Cao, Wenju Cui, Tao Tan, Yuqin Peng, Jiayi Huang, Zhen Lei, Jun Shen, Jian Zheng

“…Specifically, missing category information (MCI) that is absent in the free-text reports is supplemented by assigning default values to the missing categories in the structured reports. To ensure data privacy, a locally deployed Qwen-Chat model is employed. …”
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Management of the Chain of Custody of Digital Evidence Using Blockchain and Self-Sovereign Identities: A Systematic Literature Review by Leandro Loffi, Gerson Luiz Camillo, Cristiano Antonio De Souza, Carla Merkle Westphall, Carlos Becker Westphall

“…While state-of-the-art reviews identify various aspects, it is necessary to include the use of Self-Sovereign Identity (SSI) systems within the scope of research. …”
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From bites to bytes: understanding how and why individual malaria risk varies using artificial intelligence and causal inference by Adèle Helena Ribeiro, Júlia M. P. Soler, Rodrigo M. Corder, Marcelo U. Ferreira, Marcelo U. Ferreira, Dominik Heider

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Efficient Distributed Denial of Service Attack Detection in Internet of Vehicles Using Gini Index Feature Selection and Federated Learning by Muhammad Dilshad, Madiha Haider Syed, Semeen Rehman

“…Detection methods currently face challenges due to the complex and enormous amounts of data inherent in IoV systems. This paper presents a new approach toward improving DDoS attack detection by using the Gini index in feature selection and Federated Learning during model training. …”
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Using Logs to Reduce the Impact of Process Variability and Dependence on Practitioners in Requirements Engineering for Traditional Business Process Automation Software by Thiago Medeiros de Menezes, Ana Carolina Salgado

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ReACT_OCRS: An AI-Driven Anonymous Online Reporting System Using Synergized Reasoning and Acting in Language Models by Amir Aboubakr Shaker Mahmoud, Wesam Shishah, Nilay R. Mistry

“…Victims and witnesses of cybercrime often hesitate to report incidents due to concerns over privacy, complexity, and fear of retaliation. Traditional reporting mechanisms require manual data entry, creating accessibility barriers and delaying response times. …”
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Blind source separation and unmanned aerial vehicle classification using CNN with hybrid cross-channel and spatial attention module by Jiangong Ni, Zhigang Zhou

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Enhancing unmanned aerial vehicle and smart grid communication security using a ConvLSTM model for intrusion detection by Raed Alharthi

“…The emergence of small-drone technology has revolutionized the way we use drones. Small drones leverage the Internet of Things (IoT) to deliver location-based navigation services, making them versatile tools for various applications. …”
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A Secure and Reliable Fog-Enabled Architecture Using Blockchain With Functional Biased Elliptic Curve Cryptography Algorithm for Healthcare Services by charu awasthi, Satya Prakash, Prashant Kumar Mishra

“…Here the fog nodes gather the information from the medical sensor devices and the data is validated using smart contracts in the blockchain network. …”
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Determinants of behavioral intentions and their impact on student performance in the use of AI technology in higher education in Indonesia: A SEM-PLS analysis based on TPB, UTAUT,... by Muhammad Nurtanto, Septiari Nawanksari, Valiant Lukad Perdana Sutrisno, Husni Syahrudin, Nur Kholifah, Didik Rohmantoro, Iga Setia Utami, Farid Mutohhari, Mustofa Abi Hamid

“…The findings reveal that Attitude toward Behavior and Technology Anxiety significantly influence Student Performance through mediating variables such as Performance Expectancy, Facilitating Conditions, and Behavioral Intention to Use. Notably, perceived risk negatively affects behavioral intention and academic outcomes, suggesting high student awareness of data privacy, technological dependency, and accuracy uncertainty. …”
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Non-Contact Fall Detection System Using 4D Imaging Radar for Elderly Safety Based on a CNN Model by Sejong Ahn, Museong Choi, Jongjin Lee, Jinseok Kim, Sungtaek Chung

“…A CNN model classifies postures into standing, sitting, and lying, while changes in the speed and position distinguish falling actions from lying-down actions. The Point Cloud data were normalized and organized using zero padding and k-means clustering to improve the learning efficiency. …”
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Using malware for software-defined networking–based smart home security management through a taint checking approach by Ping Wang, Kuo-Ming Chao, Chi-Chun Lo, Wen-Hui Lin, Hsiao-Chung Lin, Wun-Jie Chao

“…Accordingly, this article proposes a taint propagation analysis model incorporating a weighted spanning tree analysis scheme for tracking data with taint marking using several taint checking tools with an open software-defined networking architecture for solving the dynamic taint propagation analysis problem. …”
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Using AI chatbots (e.g., CHATGPT) in seeking health-related information online: The case of a common ailment by Pouyan Esmaeilzadeh, Mahed Maddah, Tala Mirzaei

“…Using structural equation modeling on survey data collected from 231 respondents in the US, our study examines the hypotheses linking hedonic and utilitarian values, user satisfaction, willingness to reuse conversational AI, and intentions to take recommended actions. …”
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Using Fuzzy C-Means clustering and PCA in public health: A machine learning approach to combat CVD and obesity by Gamal Saad Mohamed Khamis, Nasser S. Alqahtani, Sultan Munadi Alanazi, Mohammed Muharrab Alruwaili, Mariam Shabram Alenazi, Maneaf A. Alrawaili

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Grouping Digital Health Apps Based on Their Quality and User Ratings Using K-Medoids Clustering: Cross-Sectional Study by Maciej Marek Zych, Raymond Bond, Maurice Mulvenna, Lu Bai, Jorge Martinez-Carracedo, Simon Leigh

“…With over 350,000 digital health apps available on the app stores today, those apps need to be of sufficient quality to be safe to use. Discovering the typology of digital health apps regarding professional and clinical assurance (PCA), user experience (UX), data privacy (DP), and user ratings may help in determining the areas where digital health apps can improve. …”
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Barriers and facilitators to seeking psychological support among healthcare professionals: a qualitative study using the Theoretical Domains Framework by Sha Liu, Yinhuan Hu, Holger Pfaff, Xiaoyun Lei, Zhen Qi, Xiandong Feng

“…Data were analyzed using framework analysis and relevant domains were identified according to the frequency of participants’ belief statements. …”
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