The impacts of virtual try-on for online shopping on consumer purchase intention: the moderating role of technology experience by Quan Hong Nguyen, Truong Thi Hanh, Nghiem Le My Hanh, Nguyen Duong Lan Nhi, Dang Ngoc Anh, Ha Thuy Linh

“…The study examines VTO’s effects on purchase intentions and explores the moderating role of technological experience. Data from 557 individuals in Vietnam were analyzed using Structural Equation Modeling (SEM). …”
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Exploring the Challenges of Mobile Phone Utilization for Library Service Delivery: The Librarians’ Perspectives by Qudus Bankole

“…A self-developed questionnaire was used to collect data, which was analyzed using descriptive statistics. …”
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Current AI technologies in cancer diagnostics and treatment by Ashutosh Tiwari, Soumya Mishra, Tsung-Rong Kuo

“…Finally, we discuss important challenges such as data privacy, interpretability, and regulatory issues, and recommend future directions that involve the use of federated learning, synthetic biology, and quantum-boosted AI. …”
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TwinFedPot: Honeypot Intelligence Distillation into Digital Twin for Persistent Smart Traffic Security by Yesin Sahraoui, Abdessalam Mohammed Hadjkouider, Chaker Abdelaziz Kerrache, Carlos T. Calafate

“…This inversion allows the system to learn generalized attack patterns using only limited data, while preserving privacy and enhancing robustness. …”
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Advanced Applications of Artificial Intelligence in Pharmacovigilance: Current Trends and Future Perspectives by Yogesh S Ahire, Jayesh H Patil, Harshita N Chordiya, Rashmi A Deore, Vinod A Bairagi

“…The ethical and legal implications of patient privacy, data security, and regulatory compliance underscore the necessity of cautious artificial intelligence deployment in order to maintain public trust and protect patient rights. …”
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Artificial Intelligence in Bronchopulmonary Dysplasia: A Review of the Literature by Tony Jha, Sana Suhail, Janet Northcote, Alvaro G. Moreira

“…Addressing ethical considerations, such as data privacy and demographic representation, as well as other practical considerations will be essential to ensure the proper implementation of AI clinical tools. …”
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Hierarchical Federated Learning-Based Intrusion Detection for In-Vehicle Networks by Muzun Althunayyan, Amir Javed, Omer Rana, Theodoros Spyridopoulos

“…To enhance IDS robustness and preserve user data privacy, researchers are increasingly adopting federated learning (FL). …”
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Analysis of Encrypted Network Traffic for Enhancing Cyber-security in Dynamic Environments by Faeiz Alserhani

“…At present, encrypted data is the cornerstone of Internet communication, providing the maximum degree of privacy and security protection for all transmitted data while shielding users against potential cyber threats and attacks. …”
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5G-MobiCare: A Secure 5G Assisted Remote Mobile Health Monitoring Platform by Hemangi Goswami, Tarun Pandey, Hiten Choudhury

“…This setup generates vast amounts of real-time data, making secure device authentication essential to ensure data privacy and security. …”
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Implementing Electronic Health Records in Philippine Primary Care Settings: Mixed-Methods Pilot Study by Anton Elepaño, Carol Stephanie Tan-Lim, Mark Anthony Javelosa, Regine Ynez De Mesa, Mia Rey, Josephine Sanchez, Leonila Dans, Antonio Miguel Dans

“…The primary outcome was behavioral intention to use the system. Quantitative data were supplemented by inductive content analysis of qualitative responses to explain observed trends. …”
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Health Care Professionals’ Experiences and Opinions About Generative AI and Ambient Scribes in Clinical Documentation: Protocol for a Scoping Review by Carolina Garcia Sanchez, Anna Kharko, Maria Hägglund, Sara Riggare, Charlotte Blease

“…The results will clarify how HCPs use—or avoid using—GenAI in daily health care work. …”
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Large language models to process, analyze, and synthesize biomedical texts: a scoping review by Simona Emilova Doneva, Sijing Qin, Beate Sick, Tilia Ellendorff, Jean-Philippe Goldman, Gerold Schneider, Benjamin Victor Ineichen

“…We conclude that, despite offering opportunities to manage the growing volume of biomedical data, LLMs also present challenges, particularly in clinical medicine and evidence synthesis, such as issues with transparency and privacy concerns.…”
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Modeling the adoption of urban air mobility based on technology acceptance and risk perception theories: A case study on flying cars by Sangen Hu, Zikang Huang, Ke Wang, Haiyuan Lin, Mingyang Pei

“…Results revealed significant associations between the intention to use flying cars and various factors, including attitudes towards usage, perceived usefulness, and personal innovativeness. …”
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Close to the Comfort Zone: Stakeholders’ Perspectives on Implementing Leisure Activities in Dementia and Eldercare by Golnaz Atefi, Hannah L. Christie, Marjolein E. de Vugt, Michael P. Craven

“…Stakeholders highlighted the importance of tailored activities, ease of use, and privacy. Challenges included resource allocation and availability. …”
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Demographic disparities, service efficiency, safety, and user satisfaction in public bus transit system: A survey-based case study in the city of Charlotte, NC by Sanaz Sadat Hosseini, Babak Rahimi Ardabili, Mona Azarbayjani, Hamed Tabkhi

“…This research examines service limitations, safety concerns, and attitudes towards technological improvements in Charlotte’s transit system, using survey data from 160 participants collected in 2022 and 2023. …”
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Exploring Digital Stress of Finnish Adolescents and Their Parents by Dimitrios Siakas, Niilo Siakas, Kerstin Siakas, Georgios Lampropoulos

“…Results: “Privacy Intrusion”, “Availability stress/Online vigilance”, and “Usefulness” were the most essential stressor factors for both students and parents. …”
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Probing the necessity and advantages of AI integration training for EFL educators in Saudi Arabia by Amal Abdelsattar Metwally, Wagdi Rashad Ali Bin-Hady

“…A mixed-methods approach was employed, collecting both quantitative and qualitative data using a questionnaire. The questionnaire was based on the five dimensions of AI competency for teachers as proposed by UNESCO (2023) to assess EFL educators’ perceptions of the necessity of AI training. …”
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AI in biomedical science: innovations, challenges, and ethical perspectives by Aynur Aliyeva

“…However, limitations include data privacy concerns, lack of population diversity in datasets, and the need for clinician oversight. …”
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Synergizing AI and blockchain: a bibliometric analysis of their potential for transforming e-governance in smart cities by Sandi Lubis, Sandi Lubis, Achmad Nurmandi, Jamaluddin Ahmad, Eko Priyo Purnomo, Titin Purwaningsih, Hazel D. Jovita-Olvez

“…Key themes identified include enhanced transparency, efficiency in public services, and concerns related to data privacy. However, our analysis uncovers a clear gap in empirical studies addressing the combined use of AI and blockchain technologies. …”
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From Technical Prerequisites to Improved Care: Distributed Edge AI for Tomographic Imaging by Bilgehan Akdemir, Hafiz Faheem Shahid, Mikael A. K. Brix, Juho Laakkola, Johirul Islam, Tanesh Kumar, Jarmo Reponen, Miika T. Nieminen, Erkki Harjula

“…However, transferring data to the cloud for processing strains communication links, introduces high communication latency, and raises privacy and security concerns. …”
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