Comparing nurses’ and patients’ perceptions of dignity in burn care: a cross-sectional study by Davood Zarei, Zahra Khademian, Azita Jaberi, Abdolkhalegh Keshavarzi

“…Methods This cross-sectional study was conducted on 110 nurse-patient dyads at Amir-Al-Moemenin Burn Hospital, Shiraz, Iran between August 2023 to February 2024. Data were collected using patient dignity questionnaire and analyzed using SPSS software version 23.0, utilizing descriptive tests, Mann-Whitney, Kruskal-Wallis, Wilcoxon, and Spearman’s correlation coefficient. …”
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Assessing user preferences and competitive strategies of Gojek and Grab in ASEAN’s ride-hailing market by Pandu Kurniawan, Didi Achjari

“…This study aims to determine the criteria, sub-criteria, and alternatives influencing users in choosing ride-hailing and map Gojek and Grab’s grand strategy to compete in the ASEAN market, especially in Indonesia, Thailand, Vietnam, and Singapore. This research uses a questionnaire to collect data, with 377 Gojek and Grab users as participants. …”
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Internet of Things in Medicine: a Bibliometric Review by Meysam Alavi, Motahareh Dehghan

“…Data visualization was conducted using VOSviewer software. …”
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Bridging Cities and Citizens with Generative AI: Public Readiness and Trust in Urban Planning by Adnan Alshahrani

“…This study explores whether Saudi residents are ready to engage with AI-driven tools in urban planning, how they prefer to interact with them, and what ethical concerns may arise. Using a quantitative, survey-based approach, the study collected data from 232 Saudi residents using non-probability stratified sampling. …”
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Operation Strategy of Multi-Virtual Power Plants Participating in Joint Electricity–Carbon Market Based on Carbon Emission Theory by Jiahao Zhou, Dongmei Huang, Xingchi Ma, Wei Hu

“…The study uses data from a VPP dispatch center in Shanxi Province. …”
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A comprehensive systematic review of intrusion detection systems: emerging techniques, challenges, and future research directions by Arjun Kumar Bose Arnob, Rajarshi Roy Chowdhury, Nusrat Alam Chaiti, Sudipta Saha, Ajoy Roy

“…Blockchain and quantum computing technologies are explored to improve data privacy, resilience, and scalability in decentralized and resource-constrained environments. …”
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Secure and Efficient Protocol for Route Optimization in PMIPv6-Based Smart Home IoT Networks by Daemin Shin, Vishal Sharma, Jiyoon Kim, Soonhyun Kwon, Ilsun You

“…The proposed protocol includes steps for secure RO and handover management, where mutual authentication, key exchange, perfect forward secrecy, and privacy are supported. The correctness of the proposed protocol is formally analyzed using BAN-logic and Automated Validation of Internet Security Protocols and Applications (AVISPA). …”
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How Gender-Sensitive Disaster Management is Addressed in the Turkish Parliament: A Qualitative Study from Feminist Bioethics Perspective by Fatma Gulsum Onal, Bahar Marangoz

“…The data were systematically retrieved using the keywords “earthquake,” “disaster,” “gender,” “women,” and “health.” …”
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Unveiling practical insights of eHealth implementation in Europe: a grey literature review on legal, ethical, financial, and technological (LEFT) considerations by B. E. Bente, N. Beerlage-de Jong, R. M. Verdaasdonk, J. E. W. C. van Gemert-Pijnen

“…Legal barriers include navigating complex regulatory frameworks, interpreting regulations, and concerns about data privacy. Facilitators focus on centralized governance and Europe's role in the global data market. …”
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Large language models aided patient progression documentation according to the ICD standard by Nuria Lebeña, Arantza Casillas, Alicia Pérez

“…In previous works, this task has been carried out using structured data, such as, ICD-coded diagnoses, overlooking unstructured textual information in EHRs. …”
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A hybrid explainable federated-based vision transformer framework for breast cancer prediction via risk factors by Aymen M. Al-Hejri, Archana Harsing Sable, Riyadh M. Al-Tam, Mugahed A. Al-antari, Sultan S. Alshamrani, Kaled M. Alshmrany, Wedad Alatebi

“…These models are assessed on binary, multi-class, and Breast Imaging Reporting and Data System (BI-RADS) classification tasks using a unique dataset encompassing real-world risk factors. …”
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What is the Role of Medical Informatics in Digital Healthcare? by Mihai TĂRÂŢĂ

“…. • Cybersecurity & Privacy in Healthcare – Implementing robust security solutions (e.g., encryption, blockchain) to safeguard sensitive patient data and ensure compliance with regulations like HIPAA (USA), GDPR (EU), and local healthcare laws…”
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Low Saturation Confidence Distribution-based Test-Time Adaptation for cross-domain remote sensing image classification by Yu Liang, Shilei Cao, Juepeng Zheng, Xiucheng Zhang, Jianxi Huang, Haohuan Fu

“…However, most UDA approaches require access to source data, which may be infeasible due to data privacy or transmission constraints. …”
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Insights From a User Experience‐Focused Virtual Study on the Feasibility and Challenges of Decentralized Clinical Trials by Yue Ma, Le Li, Gaili Gao, Huan Zhou, Jianmiao Yang, Jiao Zheng, Li Zheng, Lu Zhang, Min Jiang, Pu Li, Wenjing Zhou, Xia Chen, Ying Wang, Weiyi Zheng, Yan Zhang

“…Standard procedures were developed for each DCT element, addressing issues like identity verification and data privacy based on user perspectives. This study provided insights on implementing DCTs in China, identifying areas that need optimization to meet local regulatory and stakeholders' requirements. …”
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HealthPass: a contactless check-in and adaptive access control system for lowering cluster infection risk in public health crisis by Guofeng Luo, Yufei Wang, Linghong Hong, Xin He, Jiaru Wang, Qu Shen, Cheng Wang, Longbiao Chen

“…IntroductionEnsuring effective measures against the spread of the virus is paramount for educational institutions and workplaces as they resume operations amidst the ongoing public health crisis. A touchless and privacy-conscious check-in procedure for visitor assessment is critical to safeguarding venues against potential virus transmission.MethodsIn our study, we developed an interaction-free entry system featuring anonymous visitors who voluntarily provide data. …”
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Exploring the role of digital technology for feedback exchange in clinical training: a scoping review by Veena S. Singaram, Rayishnee Pillay, Esther L. Mbobnda Kapche

“…The incorporation of virtual reality and artificial intelligence presents promising opportunities for personalized, real-time feedback, but requires vigilant governance to ensure data integrity and privacy. Scoping review protocol https://doi.org/10.1186/s13643-022-02151-8…”
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Smart cities and electrical and electronic waste management: a review of challenges and opportunities by Deividson Sá Fernandes de Souza, Simone Sehnem, Patricia Guarnieri, Thyago Celso Cavalcante Nepomuceno, Fernando Henrique Taques, Lucio Camara e Silva

“…Design/methodology/approach – A systematic literature review was conducted using the Methodi Ordinatio. Articles published between 2012 and 2022 were analyzed, totaling 149 references, of which 30 were included in the final review. …”
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Differentiating atypical parkinsonian syndromes with hyperbolic few-shot contrastive learning by Won June Choi, Jin HwangBo, Quan Anh Duong, Jae-Hyeok Lee, Jin Kyu Gahm

“…However, the models typically require extensively labeled training datasets, which are costly and pose patient privacy risks. To address the issue of limited training datasets, we propose a novel few-shot learning framework for classifying multiple system atrophy parkinsonian (MSA-P) and progressive supranuclear palsy (PSP) within the APS category using fewer data items. …”
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Vision-Based Activity Recognition for Unobtrusive Monitoring of the Elderly in Care Settings by Rahmat Ullah, Ikram Asghar, Saeed Akbar, Gareth Evans, Justus Vermaak, Abdulaziz Alblwi, Amna Bamaqa

“…The system integrates a frame differencing algorithm with adjustable sensitivity parameters and an anomaly detection model tailored to identify deviations from individual behavior patterns without relying on large volumes of labeled data. The system was validated through real-world deployments across multiple care home rooms, demonstrating significant improvements in emergency response times and ensuring resident privacy through anonymized frame differencing views. …”
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A Multi-Criteria Decision-Making Framework for Blockchain Technology Adoption in Smart Healthcare by Deepika Gaur, Shivani Bali, Angappa Gunasekaran, Nitish Joshi, Kuldeep Chaudhary, Vikram Bali

“…Among the three blockchain platforms evaluated, the results indicate that permissioned blockchain technology is the most suitable for the healthcare sector, primarily due to its strengths in regulatory compliance, data privacy, and system integration. The study’s findings would help practitioners identify and choose the best blockchain platform, thus contributing to a transition in the healthcare industry called “Smart Healthcare 5.0”.…”
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