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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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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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

“…ObjectiveWe aimed to examine factors that influence the implementation and adoption of DNTs used in nursing care settings from the perspective of nurses. …”
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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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Quality of Breast Cancer Information on the Internet by African Organizations: An Appraisal by Cynthia Pomaa Akuoko

“…The identified websites were assessed using European Commission (EC) quality criteria for health-related websites, which comprises different assessment areas including, completeness, transparency and honesty, authority, privacy and data protection, updating of information, accountability, and accessibility. …”
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Large Language Model and Traditional Machine Learning Scoring of Evolutionary Explanations: Benefits and Drawbacks by Yunlong Pan, Ross H. Nehm

“…Few studies have compared Large Language Models (LLMs) to traditional Machine Learning (ML)-based automated scoring methods in terms of accuracy, ethics, and economics. Using a corpus of 1000 expert-scored and interview-validated scientific explanations derived from the ACORNS instrument, this study employed three LLMs and the ML-based scoring engine, EvoGrader. …”
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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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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 study’s significance lies in the view that technology determines the trajectory of the rules of engagement in the comity of humans and even medical practice with the imperative of prioritising human dignity in the development and use of genetic and reproductive health technologies. …”
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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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