Reinforcement learning based route optimization model to enhance energy efficiency in internet of vehicles by Quadeer Hussain, Ahmad Shukri Mohd Noor, Muhammad Mukhtar Qureshi, Jianqiang Li, Atta-ur Rahman, Aghiad Bakry, Tariq Mahmood, Amjad Rehman

“…However, some issues remain, like data protection, privacy, compatibility with other protocols and systems, and the availability of stable and continuous connections. …”
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Postpartum women’s prospective acceptability of long-acting HIV prevention approaches in Kenya: a qualitative study by Tessa Concepcion, John Kinuthia, Felix Abuna, Eunita Akim, Helen Aketch, Laurén Gómez, Grace John-Stewart, Bih Moki Suh, Emmaculate M Nzove, Nancy Ngumbau, Jerusha N Mogaka, Sarah Obatsa, Ben O Odhiambo, Caroline Omom, Marin Strong, Anjuli D Wagner, Salphine Watoyi, Jillian Pintye

“…Inductive and deductive content analysis was used, and themes of acceptability were explored using the Theoretical Framework of Acceptability (TFA). …”
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The Efficacy of Conversational AI in Rectifying the Theory-of-Mind and Autonomy Biases: Comparative Analysis by Marcin Rządeczka, Anna Sterna, Julia Stolińska, Paulina Kaczyńska, Marcin Moskalewicz

“…Future research should focus on enhancing affective response mechanisms and addressing ethical concerns such as bias mitigation and data privacy to ensure safe, effective AI-based mental health support.…”
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AI Impact on Hotel Guest Satisfaction via Tailor-Made Services: A Case Study of Serbia and Hungary by Ranko Makivić, Dragan Vukolić, Sonja Veljović, Minja Bolesnikov, Lóránt Dénes Dávid, Andrea Ivanišević, Mario Silić, Tamara Gajić

“…This study examines the level of implementation of artificial intelligence (AI) in the personalization of hotel services and its impact on guest satisfaction through an analysis of tourists’ attitudes and behaviors The focus of the research is on how personalized recommendations for food and beverages, activities, and room services, delivered by trustworthy AI systems, digital experience, and the perception of privacy and data security, influence overall guest satisfaction. …”
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Digital Twins for Smarter Iranian Cities: A Future Studies Perspective by Nader Zali, Ali Soltani, Peyman Najafi, Salima Ebadi Qajari, Mehrdad Mehrju

“…Policy implications suggest that governments should prioritise supportive policies, investments in digital infrastructure, and collaborative efforts to address data privacy, security, and ownership issues. By addressing these challenges, developing countries can leverage UDT technology to improve urban planning, resource management, and quality of life.…”
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Influences of Human Presence on the Indoor Air Quality of Educational Institutions: Concurrent Multipollutant Sensing Approach by Rajib Das, Aritra Acharyya, Shubhankar Majumdar

“…PM findings were inconclusive because of concurrent inhalation effects. All occupancy data were privacy-preserving—images were processed on the device and never stored. …”
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Internet-Based Mass Communication in Multi-Level Marketing Companies Operating in Poland by Nowotarska-Romaniak Beata, Szczepanik Sonia

“…This study examines the areas of Internet-based mass communication (websites, social media) utilized by multi-level marketing (MLM) companies operating in Poland, using methods including literature review, descriptive analysis, and statistical analysis of primary data. …”
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Application of Artificial Intelligence in Prosthodontics in the 21st century by Lavanya V, Keerthivasan MS, Venkatakrishnan CJ, Tamizhesai BV, Anandh V

“…Limitations include a lack of data privacy insufficient practitioner training high implementation costs ethical concerns and incomplete standardization of AI algorithms. …”
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Large-scale long-tailed disease diagnosis on radiology images by Qiaoyu Zheng, Weike Zhao, Chaoyi Wu, Xiaoman Zhang, Lisong Dai, Hengyu Guan, Yuehua Li, Ya Zhang, Yanfeng Wang, Weidi Xie

“…In this paper, we introduce RadDiag, a foundational model supporting 2D and 3D inputs across various modalities and anatomies, using a transformer-based fusion module for comprehensive disease diagnosis. …”
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AI in the Classroom: Insights from Educators on Usage, Challenges, and Mental Health by Julie A. Delello, Woonhee Sung, Kouider Mokhtari, Julie Hebert, Amy Bronson, Tonia De Giuseppe

“…This study highlights a gap in institutional AI policies, leading some educators to establish their own guidelines, particularly for matters such as data privacy and plagiarism. Furthermore, respondents identified a significant need for professional development focused on AI literacy and ethical considerations. …”
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Efficient anonymous authentication protocol for internet of vehicles based on Chinese cryptographic SM2 by SU Binting, FANG He, XU Li

“…A pseudo-identity authentication mechanism was integrated into the protocol to strengthen the protection of vehicle privacy information, effectively concealing vehicles’ real identities and operational data. …”
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Harnessing Microbiome, Bacterial Extracellular Vesicle, and Artificial Intelligence for Polycystic Ovary Syndrome Diagnosis and Management by Bhawna Kushawaha, Tial T. Rem, Emanuele Pelosi

“…We explore the diagnostic potential of the AI-driven analysis of microbiome and BEV profiles, and address ethical considerations including data privacy and algorithmic bias. As these technologies continue to evolve, they hold increasing potential for the improvement of PCOS diagnosis and management, including the development of safer, more precise, and effective interventions.…”
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Feasibility and acceptability of implementing the Global Scales for Early Development (GSED) package for children 0–3 years across three countries by Ambreen Nizar Merchant, Raghbir Kaur, Gareth McCray, Vanessa Cavallera, Ann Weber, Melissa Gladstone, Magdalena Janus, Imran Nisar, Patricia Kariger, Sunil Sazawal, Arup Dutta, Salahuddin Ahmed, Yunting Zhang, Mariana Pacifico Mercadante, Arsene Zongo, Yvonne Schönbeck, Tarun Dua, Iris Eekhout, Fahmida Tofail, Maureen Black, Abdullah H. Baqui, Dana McCoy, Farzana Begum, Romuald Kouadio E. Anago, Alexandra Brentani, Fan Jiang, Symone Detmar, Michelle Perez Maillard, Marcus Waldman, Stef van Buuren, Abbie Raikes, Katelyn Hepworth, Marta Rubio Codina, Shirina Akhtar, Fyezah Jehan, Rasheda Khanam, Hassan Naqvi, Abrarul Haque Asif, Junaid Mehmood, Sidra Afzal, Gillian Lancaster

“…Implementation challenges reiterated the need to develop a more comprehensive training module covering GSED administration and other topics, including the consent process, rapport building, techniques for maintaining privacy and preventing distraction, and using didactic and interactive learning modes. …”
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Human immunodeficiency virus prevention and testing strategies among men who have sex with men in the UK: the PANTHEON research programme including the SELPHI RCT by Janey Sewell, T Charles Witzel, David Dunn, Fiona Lampe, Fiona Burns, Peter Weatherburn, Sheena McCormack, Leanne McCabe, Alec Miners, Valentina Cambiano, Roger Pebody, Roy Trevelion, Nadia Hanum, Andrew Phillips, Alison Rodger

“…During the pilot phase, we conducted a mixed-methods study to assess trial feasibility and intervention acceptability using quantitative data from advertising sources and RCT surveys alongside qualitative data from a nested substudy. …”
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Synthetic bone marrow images augment real samples in developing acute myeloid leukemia microscopy classification models by Jan-Niklas Eckardt, Ishan Srivastava, Zizhe Wang, Susann Winter, Tim Schmittmann, Sebastian Riechert, Miriam Eva Helena Gediga, Anas Shekh Sulaiman, Martin M. K. Schneider, Freya Schulze, Christian Thiede, Katja Sockel, Frank Kroschinsky, Christoph Röllig, Martin Bornhäuser, Karsten Wendt, Jan Moritz Middeke

“…Abstract High-quality image data is essential for training deep learning (DL) classifiers, yet data sharing is often limited by privacy concerns. …”
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Comparing Artificial Intelligence–Generated and Clinician-Created Personalized Self-Management Guidance for Patients With Knee Osteoarthritis: Blinded Observational Study by Kai Du, Ao Li, Qi-Heng Zuo, Chen-Yu Zhang, Ren Guo, Ping Chen, Wei-Shuai Du, Shu-Ming Li

“…MethodsThis 2-phase, double-blind, observational study used data from 50 patients previously enrolled in a registered randomized trial. …”
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Mental health promotion in disasters: exploring the synergy of artificial intelligence, spirituality, and psychology: a SWOT analysis by Rasoul Fattahipour, Simintaj Sharififar, Fatemeh Teymouri, Maryam Azizi, Milad Ahmadi Marzaleh

“…Two independent reviewers assessed the methodological quality of the 30 included studies using the PRISMA checklist. Thematic analysis was conducted manually to categorize the data into the four domains of SWOT (Strengths, Weaknesses, Opportunities, and Threats). …”
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Mental Health in the Age of Hyperconnectivity: A Crisis Hidden in Plain Sight by Sitara Ejaz, Hafiz Muhammad Haseeb Khaliq

“…They reported the spectrum of emotional exhaustion, inability to ‘log off,’ and the excessive use of digital platforms even on evenings and weekends. …”
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Students’ Perceptions of Learning Analytics for Mental Health Support: Qualitative Study by Aglaia Freccero, Miriam Onwunle, Jordan Elliott, Nathalie Podder, Julia Purrinos De Oliveira, Lindsay H Dewa

“…However, students raised concerns regarding data reliability and identified several ethical issues, such as privacy and lack of transparency. …”
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Assessment of breastfeeding self-efficacy in nursing mothers following earthquakes: A case study of the Kahramanmaraş earthquakes in Turkey by Sinem Güven Dinmez, Ozen Karaman, Emine Bakir

“…During the study period, all eligible mothers visiting the polyclinic who met the inclusion criteria were evaluated. Data were collected using a "Descriptive Data Form" and the "Breastfeeding Self-Efficacy Short Form Scale." …”
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