A NLP analysis of digital demand for healthcare jobs in China by Yirui Chen, Xinrui Zhan, Wencan Yang, Xueying Yan, Yuxin Du, Tieniu Zhao

“…This involved designing task-specific prompts, preprocessing the data to remove duplicates and normalize text, and training the model using the Hugging Face Transformers library. …”
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Human-Centered Design of an mHealth Tool for Optimizing HIV Index Testing in Wartime Ukraine: Formative Research Case Study by Nancy Puttkammer, Elizabeth Dunbar, Myroslava Germanovych, Mariia Rosol, Matthew Golden, Anna Hubashova, Vladyslav Fedorchenko, Larisa Hetman, Liudmyla Legkostup, Jan Flowers, Olena Nesterova

“…CASI-Plus provides client-facing information on APS methods and uses a standardized, self-guided questionnaire with nonjudgmental language for clients to list partners who would benefit from HIV testing. …”
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The Effect of AI (Artificial Intelligence) in Education on Student Motivation: A Systematic Literature Review by Badarudin, Lalu Parhanuddin, Ahmad Tohri, Muhammad Suhardi

“…However, challenges such as limited technological access, resistance to change, and concerns regarding data privacy and ethics remain critical barriers. …”
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A Systematic Survey of Distributed Decision Support Systems in Healthcare by Basem Almadani, Hunain Kaisar, Irfan Rashid Thoker, Farouq Aliyu

“…Finally, it discusses open issues as future research directions in the field of DDSSs in the healthcare sector, including data structure standardization, alert fatigue for healthcare workers using DDSSs, and the lack of adherence of emerging technologies like blockchain to medical regulations.…”
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Artificial intelligence assistance in English for communication competence of english for specific purposes by Muchamad Muchibbuddin Waly, Aniqotul Milla Zakiyyah

“…A sequential explanatory mixed-methods design collected data from thirty-one undergraduate students using a Likert-scale questionnaire followed by semi-structured interviews to provide more detailed insights. …”
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From lab to field with machine learning – Bridging the gap for movement analysis in real-world environments: A commentary by Carlo Dindorf, Fabian Horst, Djordje Slijepčević, Bernhard Dumphart, Jonas Dully, Matthias Zeppelzauer, Brian Horsak, Michael Fröhlich

“…Event detection (c) in time series data is the annotation of certain events that are used to extract useful and vital information or to remove unwanted and unnecessary data for further analysis. …”
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Policy Factors Affecting the Technological Catch-up of Electronic Health Services in Iran through Blockchain Technology by Reza Naghizadeh

“…According to the Blockchain Opportunity window, a technological and economic catch-up is possible in e-health services in the country. Decentralization, data transparency, security and privacy are the key features of Blockchain technology. …”
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Advancing Hematopoietic Stem Cell Transplantation Typing: Harnessing Hyperledger Fabric’s Blockchain Architecture by Meng Wu, Feng Xu, Geetha Subramaniam, Zeyu Li, Liyun Chen, Wenjuan Zhu

“…This innovative approach optimizes user experience, maintains data integrity, and ensures privacy. Future integration with existing databases could enable secure data sharing among healthcare institutions, allowing rapid verification of data ownership and unified authentication. …”
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Strengthening health information systems and inherent statistical outputs for improved malaria control and interventions in western Kenya by Taliyah Griffin, Felix Pabon-Rodriguez, Felix Pabon-Rodriguez, George Ayodo, Yan Zhuang

“…Methods such as spatiotemporal models using climate and case data can improve outbreak predictions, while machine learning techniques can optimize insecticide-treated bed net distributions by pinpointing high-risk households. …”
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Telehealth abortion services via Women on Web in Kenya (2013–2019): a descriptive analysis of the characteristics and motivations of the care seekers by Mary Achieng Ouma, Anita Alaze, Kenneth Juma, Hazal Atay, Rebecca Gomperts, Céline Miani

“…This study explores the characteristics and motivations of individuals in Kenya who completed an online consultation on the WoW website in 2013–2019. We used anonymised data provided by WoW to describe participants’ characteristics (n = 857) and their motivations for accessing the WoW online consultation (n = 449, since this information was only available for those who filled out the questionnaire from December 2017). …”
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Computational persuasion technologies, explainability, and ethical-legal implications: A systematic literature review by Davide Calvaresi, Rachele Carli, Simona Tiribelli, Berk Buzcu, Reyhan Aydogan, Andrea Di Vincenzo, Yazan Mualla, Michael Schumacher, Jean-Paul Calbimonte

“…Ethical and legal concerns, such as patient consent, data privacy, and potential for users’ manipulation, are under-explored and require deeper investigation. …”
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Factors Influencing Telemedicine Adoption Among Health Care Professionals: Qualitative Interview Study by Fiona Schürmann, Daniel Westmattelmann, Gerhard Schewe

“…Perceived risks were multidimensional, including performance risks such as treatment limitations (mentioned by 7/14, 50% of the participants) and reliance on technical proficiency of patients (5/14, 36%), privacy risks related to data security (10/14, 71%), and time and financial risks associated with training (7/14, 50%) and equipment costs (4/14, 29%). …”
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Assessment of public awareness and willingness to establish a forensic DNA and odontology national database in Egypt: a cross-sectional study by Asmaa Mohammad Moawad, Fatma Mohamed Hassan, Eman D. El Desouky, Youssef Mohsen Ashmawy, Ebtehal Mohammed, Noha E. Ibrahim, Howaida Saeed Mohammed, Basma kamal Ibrahim

“…Despite concerns about privacy and data misuse, most people acknowledged the potential benefits of using these services. …”
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Society 5.0: Shaping the future of e-commerce by Arturs Bernovskis, Deniss Sceulovs, Agnis Stibe

“…While acknowledging the limitations of relying solely on secondary literature, the paper underscores the need for future research to include empirical studies and address challenges like data privacy, the digital divide, and evolving regulatory frameworks within the e-commerce landscape.…”
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Unleashing the Potential of Blockchain and Machine Learning: Insights and Emerging Trends From Bibliometric Analysis by Nouhaila El Akrami, Mohamed Hanine, Emmanuel Soriano Flores, Daniel Gavilanes Aray, Imran Ashraf

“…Alternatively, ML is a sub-field of artificial intelligence (AI) that empowers systems to enhance their performance by learning from data. The integration of these data-driven paradigms holds the potential to reinforce data privacy and security, improve data analysis accuracy, and automate complex processes. …”
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Federated deep reinforcement learning-based urban traffic signal optimal control by Mi Li, Xiaolong Pan, Chuhui Liu, Zirui Li

“…The proposed method improves the model generalization ability of different local models during global cross-region distributed joint training under the premise of ensuring information security and data privacy, solves the problem of non-independent and homogeneous distribution of environmental data faced by different agents in real intersection scenarios, and significantly accelerates the convergence speed of the model training phase. …”
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Advancements and Challenges in Video-Based Deception Detection: A Systematic Literature Review of Datasets, Modalities, and Methods by Yeni Dwi Rahayu, Chastine Fatichah, Anny Yuniarti, Yusti Probowati Rahayu

“…Our analysis revealed several key findings: 1) only 52.4% of identified datasets are publicly accessible, highlighting a critical gap in research reproducibility; 2) multimodal approaches consistently outperform unimodal methods, with accuracy improvements of 10-15%; 3) deep learning architectures, particularly LSTM variants and attention mechanisms, demonstrate superior performance in capturing temporal aspects of deception; 4) the Real-Life Trial Dataset emerged as the most frequently used dataset (65% of studies), indicating a preference for high-stakes ecologically valid data; and 5) significant ethical challenges remain unaddressed, particularly regarding privacy, bias, and cross-cultural validity. …”
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Bibliometric analysis of research in ethical concerns and dilemmas of digital mental health care in the last two decades by Poonam Sharma, Rekha Wagani, Mahima Anna Varghese

“…Analyses reflects that the top cited articles on Digital Mental healthcare are specifically directed on bringing out some of the key concerns of data privacy, emergency response, therapist competency and consent which requires appropriate handling Otherwise they may be cause of distress to client and question the trustworthiness of the Digital Mental Health Care system.ConclusionThe concerns brought out through this bibliometric analysis could be important guiding principles for online mental health services. …”
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Adolescents’ Daily Lives (ADL) project: an intensive longitudinal design study protocol examining the associations between physical literacy, movement behaviours, emotion regulatio... by Sam Liu, Ryan Rhodes, Megan Ames, Sharan Srinivasa Gopalan, C Emmett Sihoe, Stephanie G Craig, Mauricio Garcia-Barrera, Jonathan Rush, E Jean Buckler

“…Study participation is voluntary, and data collection will be anonymised to protect participant privacy and confidentiality. …”
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Audio–Visual Synchronization and Lip Movement Analysis for Real-Time Deepfake Detection by Muhammad Javed, Zhaohui Zhang, Fida Hussain Dahri, Asif Ali Laghari, Martin Krajčík, Ahmad Almadhor

“…By integrating visual and audio features using multimodal fusion techniques, AVSFF aims to distinguish between authentic and manipulated media. …”
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