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

“…Methods: A secondary analysis of online semi-structured interviews was conducted, focusing on nine stakeholders with expertise in dementia and eldercare. The data collected were analyzed using inductive qualitative thematic analysis to identify key themes and insights. …”
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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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Client Selection for Generalization in Accelerated Federated Learning: A Multi-Armed Bandit Approach by Dan Ben Ami, Kobi Cohen, Qing Zhao

“…Federated learning (FL) is an emerging machine learning (ML) paradigm used to train models across multiple nodes (i.e., clients) holding local data sets, without explicitly exchanging the data. …”
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Sustainable financial infrastructure and governance: A fuzzy multi-criteria decision-making analysis of open service innovation in unstable economies by Homa Molavi, Lihong Zhang, Mohammad Khanbabaei

“…Regulatory sandboxes and innovation clusters can foster collaboration between banks, fintech companies, and regulators, enhancing trust and compliance. Strict data governance frameworks aligned with global standards are essential to balancing innovation with privacy.…”
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Factors Influencing the Implementation and Adoption of Digital Nursing Technologies: Systematic Umbrella Review by Stefan Walzer, Christoph Armbruster, Sonja Mahler, Erik Farin-Glattacker, Christophe Kunze

“…MethodsWe used an umbrella review methodology to synthesize the evidence on DNTs and the complexities of their implementation. …”
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Modern Trends in the Digitalization of Higher Physical Education in China by Chen RUI

“…Additionally, the study emphasizes the need for educator training and professional development, as many physical education teachers lack digital literacy or are resistant to new technologies. Data privacy and security issues are another significant challenge, particularly with the collection and use of personal and health data from wearable devices and online platforms. …”
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The role of artificial intelligence in enhancing personalized learning pathways and clinical training in dental education by Chengchen Hu, Fang Li, Shengguo Wang, Zhi Gao, Shan Pan, Maofeng Qing

“…The review also addresses the expanding integration of AI into educational settings, highlighting both the benefits and the ethical challenges, including issues related to data privacy, algorithmic bias, and the evolving role of human educators. …”
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AI adoption in Chinese universities: Insights, challenges, and opportunities from academic leaders by Xibing Wang, Shuli Zhao, Xiaoshu Xu, Huanhuan Zhang, Vivian Ngan-Lin Lei

“…Additionally, resource allocation, funding constraints, and concerns over data privacy and security present significant barriers. …”
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Human Dignity in Genetics and Reproductive Health in the Digital Age by Archibong EI, Ukeagu LOC, Arinmi AO, Emeka EE, Igalawuye GO

“…The bringing together of genetics, reproductive health, and digital technologies threatens human dignity from the angle of data security breaches, possible exploitation, and erosion of trust through false information and its related constraints. …”
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A novel half-complementary cipher for in-situ secure computing-in-memory by Ying Zhou, Wenbiao Zhang, Yinuo Shi, Xiaomi Chen, Jianting Liu, Xiang Feng, Tiejun Zhou, Bo Liu

“…The advent of the new AI era has led to an increase in the number of intelligent terminals in use and the generation of a vast amount of data, driving the development of novel AI accelerator techniques. …”
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Integrating Large Language Models into Robotic Autonomy: A Review of Motion, Voice, and Training Pipelines by Yutong Liu, Qingquan Sun, Dhruvi Rajeshkumar Kapadia

“…We also highlight the use of physics-informed neural networks (PINNs) to model object deformation and support precision in contact-rich manipulation tasks. …”
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Implementation of NGS and SNP microarrays in routine forensic practice: opportunities and barriers by Sharlize Pedroza Matute, Sasitaran Iyavoo

“…Conversely, SNP microarrays offer a cost-effective solution for extended kinship testing, Forensic Investigative Genetic Genealogy (FIGG), and phenotypic prediction, though they are less effective with low-quality samples and DNA mixtures. Ethical, legal, and privacy concerns, particularly surrounding the use of Forensic DNA Phenotyping (FDP) and consumer genetic data in FIGG, further complicate their integration into forensic workflows. …”
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Decentralized electrochemical biosensors for biomedical applications: From lab to home by Pramod K. Kalambate, Vipin Kumar, Dhanjai

“…However, potential risks such as data security vulnerabilities, privacy concerns, and regulatory challenges must be addressed to ensure safe and ethical deployment of these technologies. …”
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Comprehensive Review and Future Research Directions on ICT Standardisation by Mohammed Najah Mahdi, Ray Walshe, Sharon Farrell, Harshvardhan J. Pandit

“…Standardisation also solves problems, such as the use of mobile devices, which requires travel abroad when out of range. …”
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Ethical and Safety Challenges of Implantable Brain-Computer Interface by Ihab Abdulrahman Satam, Róbert Szabolcsi

“…The study of brain-computer interfaces (BCIs) holds immense potential across various fields, particularly in Human-Robot Interaction, where invasive BCIs offer precise and direct communication between the human brain and robotic devices. However, the use of invasive BCIs raises significant ethical, safety, and security concerns that must be addressed to ensure their responsible deployment. …”
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