The Use of ChatGPT in English Language Learning: A Systematic Literature Review by Nur Hidayati, Erna Andriyanti, Novasa Adiyani

“…Following PRISMA guidelines, this review analyzes data from Scopus, ERIC, and Google Scholar using thematic analysis to identify key themes. …”
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Ethical and legal considerations in healthcare AI: innovation and policy for safe and fair use by Tuan Pham

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The use of micromobility riding simulators in road safety research: a systematic review by Charitha Dias, Qinaat Hussain, Muhammad Abdullah

“…Collecting real-world and field data involves numerous challenges due to ethical, privacy, and safety concerns. …”
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Legal Perspective on the Use of Artificial Intelligence in Corporate Governance in Nigeria: Potentials and Challenges by Richard Moses Peace

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A review of the use of technology in sport coaching: current trends and future directions by Fadli Ihsan, Ahmad Nasrulloh, Sigit Nugroho, Rina Yuniana

“…Various technological tools and applications have been developed to help coaches analyze athlete performance, monitor physical condition, provide feedback, and make decisions based on objective, real-time data. Conclusion The use of technology in sports training offers promising benefits but also presents challenges. …”
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Use of ChatGPT in Education: Future Strategic Road Map with SWOT Analysis by Mustafa Taktak , Mehmet Şükrü Bellibaş , Mustafa Özgenel

“…However, concerns have been raised regarding ethical issues such as data privacy, security, plagiarism, bias, and the potential for commercial exploitation, as well as negative psychological impacts on users. …”
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Enhanced federated learning for secure medical data collaboration by Benjamin Appiah, Isaac Osei, Bill K. Frimpong, Daniel Commey, Kwabena Owusu-Agymang, Gabriel Assamah

“…Abstract Federated learning (FL) enables collaborative model training across multiple institutions while preserving data privacy. However, conventional encryption techniques used in FL remain vulnerable to quantum attacks, raising concerns about the security of model update transmissions. …”
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Balancing Risks and Opportunities: Data-Empowered-Health Ecosystems by Lan Li, Emma Back, Suna Lee, Rebecca Shipley, Néo Mapitse, Stefan Elbe, Melanie Smallman, James Wilson, Ifat Yasin, Geraint Rees, Ben Gordon, Virginia Murray, Stephen L Roberts, Anna Cupani, Patty Kostkova

“…However, efforts to meet this need face risks related to privacy, data protection, security, democratic governance, and exclusion. …”
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Use of AI in Mental Health Care: Community and Mental Health Professionals Survey by Shane Cross, Imogen Bell, Jennifer Nicholas, Lee Valentine, Shaminka Mangelsdorf, Simon Baker, Nick Titov, Mario Alvarez-Jimenez

“…The surveys collected data on demographics, technology comfort, attitudes toward AI, specific AI use cases, and experiences of benefits and harms from AI use. …”
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Healthcare Providers’ Perspective about the Use of Telemedicine in Egypt: A National Survey by Mohamed Alboraie, Mohammad Abdalgaber, Naglaa Youssef, Inas Moaz, Nermeen Abdeen, Hazem Maarouf Abosheaishaa, Mina Tharwat Shokry, Fathiya El-Raey, Sabry Shaaban Asfour, Waleed A. Abdeldayem, Adel Ahmed Hassan, Essam Eldeen M.o. Mahran, Mohammed Tag-Adeen, Omar Elshaarawy, Mohamed Ibrahim Radwan, Ahmed Altonbary, Yasser Fouad

“…Participants assumed that the use of telemedicine might not have a negative effect on the doctor-patient relationship but raised some concerns regarding the privacy and security of patients’ data. …”
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Private Data Leakage in Federated Contrastive Learning Networks by Kongyang Chen, Wenfeng Wang, Zixin Wang, Yao Huang, Yatie Xiao, Wangjun Zhang, Zhipeng Li, Zhefei Guo, Zhucheng Luo, Lin Yin, Haiyan Mai, Xiaoying Wang, Qintai Yang

“…Generally, Federated Contrastive Learning (FCL) represents an emerging approach for learning from decentralized unlabeled data while upholding data privacy. In FCL, participant clients collaborate in learning a global encoder using unlabeled data, which can serve as a versatile feature extractor for diverse downstream tasks. …”
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Promoting Awareness of Data Confidentiality and Security During the COVID-19 Pandemic in a Low-Income Country—Sierra Leone by Joseph Sam Kanu, Mohamed A. Vandi, Brima Bangura, Katherine Draper, Yelena Gorina, Monique A. Foster, Jadnah D. Harding, Eric N. Ikoona, Amara Jambai, Mohamed A. M. Kamara, Daniel Kaitibi, Daphne B. Moffett, Tushar Singh, John T. Redd

“…ObjectivesWorld Health Organization issued Joint Statement on Data Protection and Privacy in the COVID-19 Response stating that collection of vast amounts of personal data may potentially lead to the infringement of fundamental human rights and freedoms. …”
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Should we communicate with the dead to assuage our grief? An Ubuntu perspective on using griefbots by Connor Wright

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Emotional Design of Interior Spaces: Exploring Challenges and Opportunities by Liang Rui, Muhammad Firzan

“…For this purpose, the data is gathered in two phases. In phase I, semi-structured interviews were utilized to collect data from 5 interior designers. …”
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Anonymization in web auctions using Zero-Knowledge Proof in Blockchain technology by Marlena Broniszewska, Wiktor B. Daszczuk, Denny B. Czejdo

“…However, the centralized nature of traditional e-commerce platforms raises concerns about data control, privacy, and potential single points of failure. …”
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Fingernail analysis management system using microscopy sensor and blockchain technology by Shih Hsiung Lee, Chu Sing Yang

“…This work uses the highly anonymous blockchain technology to effectively protect data privacy and manage each user’s data through the blockchain, in which any change or manipulation can be recorded and tracked, and the data security is improved. …”
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Post-Quantum Cryptography Resilience in Telehealth Using Quantum Key Distribution by Don Roosan, Rubayat Khan, Saif Nirzhor, Fahmida Hai

“…By integrating Post-Quantum Cryptography (PQC) with Quantum Key Distribution (QKD) and privacy-preserving mechanisms, data confidentiality and immutability for patient records in a post-quantum era are ensured. …”
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Trends and pattern of contraceptive use among women attending a family planning clinic at a tertiary health facility in Ibadan, Nigeria by A. O. Atoyebi, S. O. Olaoye, M. A. Okunlola, M. E. Palamuleni, A. S. Adebowale

“…Data were analysed using a logistic regression model (α0.05), and thematic analysis was used for the qualitative part of the study. …”
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Understanding user acceptance of mobility-as-a-service in Jakarta Metropolitan Area (JMA): Influencing factors and behavioural insights by Yos Sunitiyoso, Prawira Fajarindra Belgiawan, Muhamad Rizki, Valid Hasyimi

“…Driven by theoretical constructs of the technology acceptance model, a set of motivational factors and choice scenarios, a behavioural model is conceptualised to explore individuals’ willingness to adopt MaaS in the JMA. Using data from 1,005 respondents collected in a survey, structural equation modelling (SEM), cluster analysis and choice modelling were conducted. …”
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Strategies and Challenges in Detecting XSS Vulnerabilities Using an Innovative Cookie Collector by Germán Rodríguez-Galán, Eduardo Benavides-Astudillo, Daniel Nuñez-Agurto, Pablo Puente-Ponce, Sonia Cárdenas-Delgado, Mauricio Loachamín-Valencia

“…Five bots were deployed, one for each of the most commonly used university browsers, enabling comprehensive data collection across multiple platforms. …”
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