Patients’ and Healthcare Personnel’s Experiences of Health Coaching with Online Self-Management in the Renewing Health Project by Inger Lindberg, Birgitta Lindberg, Siv Söderberg

“…The questionnaire was analysed using statistics; texts from interviews and focus groups were analysed using content analysis. …”
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Cross-cultural attitudes toward generative AI in Art: Implications for sustainable creativity in the U.S., Japan, and China by Suomiya Bao

“…While Chinese participants focus on data privacy and intellectual property protection, U.S. participants are more concerned with misinformation and fake content. …”
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Interaction of Customer Satisfaction and Digital Service Retention: Evidence of PLS from Indonesian Islamic Banking by Muhammad Alfarizi

“…This study uncovered the effect of ease of use, efficiency, interoperability, privacy security, responsiveness, reliability, service cost, and service portfolio on ISBC customer satisfaction. …”
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Algerian Efl Students’ Perspectives And Practices On Ai-enabled Learning At The University Of Medea by Oussama Boukhelkhal

“…However, students identified several drawbacks, namely excessive reliance on AI, negative impact on their critical thinking, and the problem of unreliable AI-generated data. They also faced some challenges, such as limited access to advanced AI tools, privacy and security issues, and a lack of guidance on how to use AI thoughtfully and responsibly. …”
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Motivated by Design: A Codesign Study to Promote Challenging Misinformation on Social Media by Selin Gurgun, Emily Arden-Close, Keith Phalp, Raian Ali

“…We applied the unified theory of acceptance and use of technology (UTAUT) as a theoretical framework and analysed our data based on the core constructs of this framework: performance expectancy, effort expectancy, social influence, and facilitating conditions. …”
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Who owns Internet of Thing devices? by Yuxuan Jia, Bing Han, Qiang Li, Hong Li, Limin Sun

“…We propose to automatically extract owner annotation by utilizing a set of techniques (network scanning, machine learning, and natural language processing). We use the probing and classifier to determine whether the response data come from an IoT device. …”
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The Interdependence of Competition Policy, Consumer Policy and Regulation in Introducing and Safeguarding Effective Competition in the EU Telecommunications Market by Andreas Bartels, Doru Alexandru Pleșea, Michael Studeny, Vanessa Just

“…In the case of telecommunications, several initiatives of the European Commission and of national regulatory authorities to falls in prices and forced operators to implement customer friendly rules and to protect customer data and privacy. The authors consider that the European Commission has tried to establish and harmonise rules across all member states in order to protect the interests and rights of consumers on the telecommunication market. …”
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Large language model application in emergency medicine and critical care by Haw Hwai, Yi-Ju Ho, Chih-Hung Wang, Chien-Hua Huang

“…However, integrating LLMs into healthcare raises legal, ethical, and privacy concerns, including data protection and the necessity for informed consent. …”
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Digital game addiction in elementary students: The impact of digital literacy, parental styles, and background variables by Sacide G. Mazman Akar, Murat Özer

“…The sample comprised 530 fourth-grade students from four primary schools in Turkey. Data were collected using the “Scale of Digital Game Addiction for Children”, “Digital Literacy Scale for Primary School Students”, and “Parental Style Scale”. …”
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Perspectives of stakeholders on enhancing access to self-injectable contraception in rural South Sudan by Grace W. Kimemia, Mamothena Carol Mothupi, Lual Agok Luka, Teresia Macharia, Sidonia Akon, Alom Atak Ayom, Lual James Baak, Amijong Deng, Kadra Noor, Taban John Mark, Naoko Kozuki

“…Abstract Background Although self-injectable subcutaneous depot medroxyprogesterone acetate (DMPA-SC) has demonstrated promise, there are significant barriers in promoting initiation and continued use in low-resource settings. This study sought to understand the perspectives of stakeholders on promotion of self-injectable contraception use in rural South Sudan. …”
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Implications of Public Disclosure of Personal Information in a Mobile Alert App for People Living With Dementia Who Go Missing: Qualitative Descriptive Study by Adebusola Adekoya, Christine Daum, Noelannah Neubauer, Antonio Miguel-Cruz, Lili Liu

“…NVivo (version 12) was used to manage data, and conventional content analysis was conducted to identify key themes of the implications of public disclosure of personal information in Community ASAP. …”
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Advanced Hydro-Informatic Modeling Through Feedforward Neural Network, Federated Learning, and Explainable AI for Enhancing Flood Prediction by Shahariar Hossain Mahir, Md Tanjum An Tashrif, Md Ahsan Karim, Dipanjali Kundu, Anichur Rahman, Md. Amir Hamza, Fahmid Al Farid, Abu Saleh Musa Miah, Sarina Mansor

“…This approach promotes data privacy and allows collaborative learning while working under cross-border data-sharing constraints, therefore improving the accuracy of prediction. …”
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A hybrid encryption framework leveraging quantum and classical cryptography for secure transmission of medical images in IoT-based telemedicine networks by Arslan Shafique, Syed Ali Atif Naqvi, Ali Raza, Masoud Ghalaii, Panagiotis Papanastasiou, Julie McCann, Qammer H. Abbasi, Muhammad Ali Imran

“…In this context, ensuring secure transmission and communication is necessary to protect medical data to maintain privacy. To address such privacy concerns and secure medical images against cyberattacks, this research presents a robust hybrid encryption framework that integrates quantum, and classical cryptographic methods. …”
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Joint Class and Domain Continual Learning for Decentralized Federated Processes by Chiara Lanza, Tinne Tuytelaars, Marco Miozzo, Eduard Angelats, Paolo Dini

“…So far, learning in IoT scenarios has almost exclusively been studied in a centralized fashion, but CL can be used in decentralized settings involving a multitude of nodes to learn, adapt, and generalize from their streams of data, even with limited communication and computation capabilities. …”
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Navigating digital frontiers in UAE healthcare: A qualitative exploration of healthcare professionals' and patients' experiences with AI and telemedicine. by Azza Alkaabi, Deena Elsori

“…The results highlight the need to address such limitations, adequately train healthcare professionals, and enhance data privacy. The study also lays a foundation for further research into contextual challenges hindering the effective adoption and implementation of AI and telemedicine in different healthcare settings in order to develop a generic, context-specific framework that will guide the adoption of such emerging technologies in the global healthcare industry.…”
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From Neural Networks to Emotional Networks: A Systematic Review of EEG-Based Emotion Recognition in Cognitive Neuroscience and Real-World Applications by Evgenia Gkintoni, Anthimos Aroutzidis, Hera Antonopoulou, Constantinos Halkiopoulos

“…Further, related ethical issues with respect to privacy, data security, and machine learning model biases need to be much more proclaimed to responsibly apply research on emotions to areas such as healthcare, human–computer interaction, and marketing. …”
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Impact of Mask-Wearing on Public Attitudes, Perceptions, and Interest in Rhinoplasty During the COVID-19 Pandemic by Mohanad M. Alsuhaim, MD, MBBS, Abdullah A. Fallatah, MD, MBBS, Mohammed H. Shawosh, MD, MBBS, Adil N. Althobaity, MBBS, SB-PLAST, EBOPRAS

“…This study aimed to investigate the influence of mask use on attitudes, perceptions, and interests in rhinoplasty during the COVID-19 pandemic in Saudi Arabia. …”
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Parameter optimization of 3D convolutional neural network for dry-EEG motor imagery brain-machine interface by Nobuaki Kobayashi, Musashi Ino

“…By completing the system on the edge, the privacy of personal MI data can be ensured, and the system is ubiquitous, which improves user convenience. …”
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Telemedicine and information technology in health care management: Perspectives and barriers among the nursing students by N Sheeliya White, S Sathya Franklin, N Juliet, Selvia Arokiya Mary Amalanathan, Puvaneswari Kanagaraj, Anasani Somasekhara Babu

“…Data collection was facilitated through a structured questionnaire, and the gathered data were analyzed using SPSS version 22. …”
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Large Language Models in Medicine: Clinical Applications, Technical Challenges, and Ethical Considerations by Kyu-Hwan Jung

“…Ethical concerns involve algorithmic bias risking health inequities, threats to patient safety from inaccuracies, unclear accountability, data privacy, and impacts on clinician-patient interactions. …”
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