Exploring IoT integration challenges: Causal relationships and strategic implications for business models by Parveen Siwach, Disha Gulia, Dhiraj Kumar Yadav, Mohit Malik, Vijay Kumar Gahlawat

“…Thirteen crucial components were analysed, influencing interoperability challenges, data security and privacy issues, standardized issues, high initial investment, scaling obstacles, and adverse environmental effects. …”
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A Structured and Methodological Review on Multi-View Human Activity Recognition for Ambient Assisted Living by Fahmid Al Farid, Ahsanul Bari, Abu Saleh Musa Miah, Sarina Mansor, Jia Uddin, S. Prabha Kumaresan

“…Key challenges such as data remediation, privacy, and generalization are discussed, alongside potential solutions such as sensor fusion and advanced learning strategies. …”
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The role of artificial intelligence in vascular care by Nehaar Nimmagadda, BS, Edouard Aboian, MD, Sharon Kiang, MD, Uwe Fischer, MD

“…The review also explores cost-effectiveness data, resource optimization, and challenges such as algorithmic bias and data privacy. …”
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Lessons from Henrietta Lacks inform a transparency framework to catalyze generative artificial intelligence in medicine by Tej D. Azad, Anmol Warman, Deven McGraw, Suchi Saria

“…The integration of generative artificial intelligence (AI) tools into healthcare poses significant challenges concerning data privacy and governance. Drawing on the historical vignette of Henrietta Lacks, this perspective examines the implications of using generative AI in clinical settings. …”
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MAGMA-MICK: A state-of-the-art digital platform facilitating the programmatic implementation of whole genome sequencing for TB care and prevention by Prof Annelies Van Rie, Fulvio Vigilante, Dr. Walter Sanseverino, Prof Annelies Van Rie

“…Methods: We MICK, a state-of-the-art secure digital platform, for the use of NGS to guide the care and prevention of (DR)-TB. …”
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A systematic review of serious games as tools for STEM education by Talia Tene, Diego Fabián Vique López, Paulina Elizabeth Valverde Aguirre, Nilo Israel Cabezas Oviedo, Cristian Vacacela Gomez, Stefano Bellucci

“…Policymakers are encouraged to support these efforts by providing financial resources and promoting frameworks for ethical, data-secure use of serious games in education. Future research should focus on establishing a globally recognized framework for serious games in STEM, conducting longitudinal studies to evaluate long-term impacts, and exploring diverse educational contexts to ensure inclusive and effective integration.…”
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Studi Desktiptif: Persepsi Mahasiswa Ilmu Forensik terhadap Konsep Cyberstalking by Ainun Jaryah Bahrir

“…The technique of collecting research data is by distributing closed questionnaires. Research data analysis technique is a descriptive analysis technique, describing data obtained using tables and graphs. …”
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Technology-enabled CONTACT tracing in care homes in the COVID-19 pandemic: the CONTACT non-randomised mixed-methods feasibility study by Carl A Thompson, Thomas A Willis, Amanda Farrin, Adam Gordon, Amrit Daffu-O’Reilly, Catherine Noakes, Kishwer Khaliq, Andrew Kemp, Tom Hall, Chris Bojke, Karen Spilsbury

“…Quantitative data were analysed using descriptive statistical methods, and qualitative data were thematically analysed using normalisation process theory. …”
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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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Sustainable Innovation: Harnessing AI and Living Intelligence to Transform Higher Education by Hesham Mohamed Allam, Benjamin Gyamfi, Ban AlOmar

“…However, while AI has the potential to improve education significantly, it also introduces challenges, such as ethical concerns, data privacy risks, and algorithmic bias. The real challenge is not just about embracing AI’s benefits but ensuring it is used responsibly, fairly, and in a way that aligns with educational values. …”
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Assessment of the attitude and fears of the physicians of Pakistan regarding artificial intelligence: a cross-sectional survey in 2024 by Abdur Rehman Khalid, Farooq Ahmad, Smak Ahmed, Muhammad Ahrar Bin Naeem, Noor ul Ain, Hassan Mehmood, Aasma Sajawal, Muhammad Umar, Aiman Atta, Hassaan Amin, Shahid Mahmood

“…Subject and methods A nation-wide cross-sectional study was conducted using an online questionnaire, based on standardized General Attitude Towards Artificial Intelligence Scale (GAAIS) and self-devised questions, aimed at collecting data about demographic details, attitude and fears of the physicians regarding AI. …”
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Application and Effectiveness of Modern Technologies in Sports Training - a Literature Review by Tomasz Włoch, Marcin Kwiatkowski, Tomasz Koziński, Marta Donderska, Paulina Bochniak, Jakub Kołacz, Patrycja Oleś, Mateusz Bryła, Zofia Bryła, Monika Szpaczyńska-Kwiatkowska

“…In spite of the encouraging developments, challenges abound in the form of data accuracy, privacy concerns, and the high cost of implementation. …”
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Artificial Intelligence and Quantum Technologies and Their Role in the Development of the U.S. Economy by Likhota Oleksandr V.

“…An equally important factor is the need for ethical regulation, as the development of AI may pose threats to human rights and data privacy. To achieve the set aim, the research employed analysis and synthesis methods, which allowed for a deeper assessment of the impact of new technologies on economic processes. …”
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Wearable Sensors for Ensuring Sports Safety in Children with Autism Spectrum Disorder: A Comprehensive Review by Ofir Arbili, Lior Rokach, Seffi Cohen

“…However, challenges remain regarding device usability, data privacy, and the need for further research to validate the effectiveness of these technologies in real-world sports environments. …”
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User preferences for an mHealth app to support HIV testing and pre-exposure prophylaxis uptake among men who have sex with men in Malaysia. by Lindsay Palmer, Jeffrey A Wickersham, Kamal Gautam, Francesca Maviglia, Beverly-Danielle Bruno, Iskandar Azwa, Antoine Khati, Frederick L Altice, Kiran Paudel, Sherry Pagoto, Roman Shrestha

“…., telehealth, patient identification), minimizing privacy and confidentiality risks. Our data suggest that a tailored HIV prevention app would be acceptable among MSM in Malaysia. …”
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Advancing communicative competence in the digital age: A case for AI tools in Japanese EFL education by Alexis Busso, Becky Sanchez

“…Finally, challenges and limitations are addressed, including ethical considerations surrounding data privacy, overreliance, predictive patterns, and watermarking. …”
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AI-Driven Framework for Secure and Efficient Load Management in Multi-Station EV Charging Networks by Md Sabbir Hossen, Md Tanjil Sarker, Marran Al Qwaid, Gobbi Ramasamy, Ngu Eng Eng

“…The framework uses federated learning (FL) to protect data privacy and make decisions in a decentralized way, which lowers the risks that come with centralizing data. …”
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Healthcare professionals’ perspectives on artificial intelligence (AI)-based mobile applications (apps) for diabetes education and behavioural management by Phei-Ching Lim, Yung-Wey Chong, Qiu-Ting Chie, Hadzliana Zainal, Kok-Lim Alvin Yau, Soo-Huat Teoh

“…However, significant concerns were raised about accessibility for older adults, data privacy, and the apps’ ability to modify entrenched behaviours without human intervention. …”
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Redefining Urban Traffic Dynamics With TCN-FL Driven Traffic Prediction and Control Strategies by K. M. Karthick Raghunath, C. Rohith Bhat, Venkatesan Vinoth Kumar, Velmurugan Athiyoor Kannan, T. R. Mahesh, K. Manikandan, N. Krishnamoorthy

“…The system guarantees data privacy and utilizes decentralized information analysis using Federated Learning. …”
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Heterogeneity in willingness to share personal health information: a nationwide cluster analysis of 20,000 adults in Japan by Miho Sassa, Akifumi Eguchi, Keiko Maruyama-Sakurai, Takanori Fujita, Yumi Kawamura, Takayuki Kawashima, Yuta Tanoue, Daisuke Yoneoka, Hiroaki Miyata, Takanori Yamashita, Naoki Nakashima, Shuhei Nomura

“…The survey examined willingness to share personal health information with nine types of recipients (healthcare providers, ambulance crew, application providers, family members, local authorities, employers, pharmaceutical companies, government agencies, and research institutions), trust levels in these recipients, and 17 factors influencing sharing decisions across health benefits, convenience, economic incentives, social significance, information details, transparency, and privacy considerations. Clustering analysis using Uniform Manifold Approximation and Projection (UMAP) and Ordering Points to Identify the Clustering Structure (OPTICS) algorithms was performed to identify distinct patterns in sharing preferences. …”
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