Implementing Electronic Health Records in Philippine Primary Care Settings: Mixed-Methods Pilot Study by Anton Elepaño, Carol Stephanie Tan-Lim, Mark Anthony Javelosa, Regine Ynez De Mesa, Mia Rey, Josephine Sanchez, Leonila Dans, Antonio Miguel Dans

“…The primary outcome was behavioral intention to use the system. Quantitative data were supplemented by inductive content analysis of qualitative responses to explain observed trends. …”
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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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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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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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Exploring internal challenges and coping strategies in online English learning via Google Meet: A study of 7th grade students in Yogyakarta by Bambang Widi Pratolo, Liza Beliarita, Naif Daifullah Alsulami

“…Data were collected through interviews and documentation, with pseudonyms used to protect students' privacy. …”
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Role of Artificial Intelligence in Dentistry by V. Hysenaj-Cakolli, B. Kolgeci, V. Hysenaj-Hoxha, D. Kolgeci

“…Dental professionals require specialized training, many regions lack access to advanced AI technology, and patient data privacy raises ethical concerns. While AI holds great potential, it should complement human expertise rather than replace it. …”
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Covid-19 and Technological Disruption in Health Care Delivery in England by Louise Dalingwater

“…There is also an increased privacy risk when health data is digitalised. There are thus significant governance and infrastructure issues in the delivery of health care via digital devices, which this paper will explore. …”
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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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Quantitative and qualitative analysis of balcony usage and its impact on the landscape of the neighborhood by Fatemeh Foghani, azadeh shahcheraghi, Zahra Sadat Saeideh zarabadi

“…This research is of qualitative-interpretive type, research strategy, case study and data collection was done by field method. In this research, 20 medium-rise residential buildings built in the 90s, consisting of 100 balconies, were selected in the Darya neighborhood of District 2, Tehran. how they were used by users was analyzed. …”
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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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Barriers to and enhancement of the utilization of digital mental health interventions in low-resource settings: Perceptions of young people in Uganda by Erisa Sabakaki Mwaka, Datsun Bazzeketa, Joy Mirembe, Reagan D. Emoru, Adelline Twimukye, Apollo Kivumbi

“…A thematic approach was used to interpret the results. Results Three themes were identified from the data including perceptions of using DMH services, the perceived barriers to utilization, and suggestions for enhancement of DMH for YP in low-resource settings. …”
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Interactive Applications with Artificial Intelligence: The Role of Trust among Digital Assistant Users by Pur Purwanto, Kuswandi Kuswandi, Fatmah Fatmah

“…The purpose of the present study was to analyze the effects of controllability, synchronicity, bidirectionality on perceived performance and user satisfaction with digital assistant applications as moderated by perceived trust. Amos 22.0 was used to analyze a sample of 150 digital assistant users of brands Samsung Bixby, Google Assistant, Apple Siri, and other brands.Results show that bidirectionality is the most worrying feature in terms of perceived performance of digital assistants related to trust and privacy protection issues of personal data, whereas the other two features contribute to perceived performance and digital assistant users’ satisfaction. …”
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Evaluating Smart Home Usability and Accessibility in Early Detection and Intervention of Mental Health Challenges Among Older Adults: A Narrative Review and Framework by Mohammad Mahdi Fakhimi, Adriana Hughes, Alisson M. Gustavson

“…In total, 34 relevant studies met the inclusion criteria, and also, a standardized quality assessment tool was used to evaluate the methodological soundness of the included studies. …”
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Barriers and sources of information in prostate cancer screening at a South African hospital by Boitumelo M. Komane, Annah Mosalo

“…Methods: A qualitative, exploratory study was conducted with 19 conveniently selected men attending the specific clinic. Data were analysed using thematic analysis. Results: Three themes emerged which were (1) barriers to screening, (2) sources of information regarding prostate cancer and (3) symptoms experienced during screening. …”
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Human activity recognition algorithm based on the spatial feature for WBAN by Chi JIN, Zhijun LI, Dayang SUN, Fengye HU

“…Traditional image-based activity recognition algorithms have some problems,such as high computational cost,numerous blind spots and easy privacy leakage.To solve the problem above,the CCLA (convolution-convolutional long short-term memory-attention) activity recognition algorithm based on the acceleration and gyroscope data was proposed.The convolutional neural network was used to extract spatial features of activity data and got the hidden time series information from the convolutional long short-term memory network.Simulating human brain selecting attention mechanism,attention-encoder was constructed to extract the spatial and temporal features at a higher level.The CCLA algorithm was tested on UCI-HAPT (university of California Irvine-smartphone-based recognition of human activities and postural transitions) public data set,and realized the classification of 12 types of activity with the accuracy of 93.27%.…”
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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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Assessing the Effects of Cancer Diagnosis and Coping Strategies on Patients in Vhembe District Hospitals, Limpopo Province by Dorah Ursula Ramathuba, Takalani Friddah Rafundisani, Maria Sonto Maputle

“…A self-administered questionnaire was used to collect data, and the data were analyzed using a software package for descriptive statistics (SPSS version 23). …”
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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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