Optimized Identity Authentication via Channel State Information for Two-Factor User Verification in Information Systems by Chuangeng Tian, Fanjia Li, Xiaomeng Liu, Juanjuan Li

“…For classification, a kernel support vector machine (SVM) model is trained using a randomized hyperparameter search algorithm. …”
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Inpatient satisfaction with nursing care in a backward region: a cross-sectional study from northwestern China by Xiaoying Wang, Juxia Zhang, Limei Yang, Jiao Dai, Wenjing Shan, Jiancheng Wang

“…Objectives The aim of the study was to examine the level of patient satisfaction with nursing care and identify the factors affecting satisfaction from the inpatient’s perspective in a backward region of China.Design This was a cross-sectional study.Setting The study was conducted at a tertiary hospital located in northwest China.Participants Patients admitted to the ward for at least 48 hours were chosen to participate in the survey.Primary outcome measure The Newcastle Satisfaction with Nursing Care Scale was used. Data were collected from 219 patients.Results The overall inpatient satisfaction with nursing care was 78.15±4.74. …”
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Intrusion Detection Framework for Internet of Things with Rule Induction for Model Explanation by Kayode S. Adewole, Andreas Jacobsson, Paul Davidsson

“…As the proliferation of Internet of Things (IoT) devices grows, challenges in security, privacy, and interoperability become increasingly significant. …”
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A Trusted Batch Authentication Mechanism Based on Tree for Power Internet of Things by Baohua ZHAO, Zhihao WANG, Liandong CHEN, Chunhui REN, Fajiang YU, Qing XU

“…The structure of unbalanced hash tree generates less verification information during device verification and protects privacy. The sparse Merkel tree multiproofs method is used to generate the verification information to implement the batch authentication of devices. …”
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A "Quıet" need ın the dısaster of the century: a qualıtatıve study on menstrual hygıene management by Ayşe Aydın, Meltem Şirin Gok, Bahar Çiftçi

“…The interviews were analyzed using content analysis, and themes and sub-themes reflecting the women's experiences were identified. …”
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Rapid Whole-Genome Sequencing in Critically Ill Infants and Children with Suspected, Undiagnosed Genetic Diseases: Evolution to a First-Tier Clinical Laboratory Test in the Era of... by Rina Kansal

“…Factors that will help to develop rWGS as a clinical test in critically ill infants and the limitations are briefly discussed, including an evaluation of the clinical utility and accessibility of genetic testing, education for parents and providers, cost-effectiveness, ethical challenges, consent issues, secondary findings, data privacy concerns, false-positive and false-negative results, challenges in variant interpretation, costs and reimbursement, the limited availability of genetic counselors, and the development of evidence-based guidelines, which would all need to be addressed to facilitate the implementation of pediatric genomic sequencing in an effective widespread manner in the era of precision medicine.…”
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The Impact of AI-Personalized Recommendations on Clicking Intentions: Evidence from Chinese E-Commerce by Jiwang Yin, Xiaodong Qiu, Ya Wang

“…AI-personalized recommendation technology offers more accurate and diverse choices to consumers and increases click-through rates and sales on e-commerce platforms. Yet, data on consumers’ experiences of AI-personalized recommendations and their impact path on clicking intention are scarce. …”
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The Role of Evidence-Based Design in Enhancing Architectural Design Process of Healthcare Buildings: A Case Study of General Hospitals in Sulaimani City by Zhekaf Sulaiman Mustafa Hassan 1, a, *, Dr. Fouad Jalal Mahmood 2, a

“…Furthermore, the research incorporates case studies and spatial analysis using DepthMapX to obtain objective insights. The discrepancy between subjective perspectives and objective analysis prompts a deeper exploration of the practical implementation of evidence-based design (EBD) in healthcare architecture. …”
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Transformations in academic work and faculty perceptions of artificial intelligence in higher education by Jorge Buele, Leonel Llerena-Aguirre

“…Additionally, ethical debates are emerging around algorithmic transparency, data privacy, and institutional responsibility. Effective integration in higher education demands not only technical proficiency but also ethical grounding, regulatory support, and critical pedagogical development. …”
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FedHSP: A Robust Federated Learning Framework Coherently Addressing Heterogeneity, Security, and Performance Challenges by Divya G. Nair, C. V. Aswartha Narayana, K. Jaideep Reddy, Jyothisha J. Nair

“…Federated Learning (FL) is a machine learning training method that leverages local model gradients instead of accessing private data from individual clients, ensuring privacy. However, the practical implementation of FL faces significant challenges. …”
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Integrating Artificial Intelligence into Service Innovation, Business Development, and Legal Compliance: Insights from the Hainan Free Trade Port Era by Yincheng Li, Shumin Wang, Muhammad Bilawal Khaskheli

“…Hypothesis 3 state that HFTP enterprises comply with these laws while systemically assuring, in theory, and practice, the legal risks of artificial intelligence and its implications for legal regulation, which is a significant aspect of research, addressing legal risks related to data privacy, security, and algorithmic bias with many strategies being proposed. …”
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Class-Hidden Client-Side Watermarking in Federated Learning by Weitong Chen, Chi Zhang, Wei Zhang, Jie Cai

“…Federated learning consists of a central aggregator and multiple clients, forming a distributed structure that effectively protects data privacy. However, since all participants can access the global model, the risk of model leakage increases, especially when unreliable participants are involved. …”
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Machine Learning for Resilient and Sustainable Cities: A Bibliometric Analysis of Smart Urban Technologies by Bin Luan, Xinqun Feng

“…A hotspot analysis revealed that research topics are increasingly diverse and dynamically evolving. Issues such as data privacy, cybersecurity, sustainable development, and intelligent transportation have gradually become focal points, reflecting the dual demand of smart city development for technological innovation and green growth. …”
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Multimodal Cancellable Biometric Template Protection and Person Verification in Transformed Domain by Devendra Reddy Rachapalli, Venkatesulu Dondeti, Hemantha Kumar Kalluri

“…Combining biometric features increases system reliability, safety, and user privacy. We used a colorization technique to generate three separate colors Quick Response (QR) codes from a user-defined Red, Green, Blue (RGB) tuple random seed, which we then combined to create a one-way cancellable template. …”
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Image-based food monitoring and dietary management for patients living with diabetes: a scoping review of calorie counting applications by Asal Rouhafzay, Asal Rouhafzay, Ghazal Rouhafzay, Jalila Jbilou, Jalila Jbilou

“…However, challenges such as standardization, validation across diverse populations, and data privacy concerns need to be addressed. This review focuses on the role of computer science in dietary intake estimation, specifically food segmentation, classification, and volume estimation for calorie calculation. …”
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Navigating the ethical terrain of AI in education: A systematic review on framing responsible human-centered AI practices by Yao Fu, Zhenjie Weng

“…Following the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines, we searched Scopus and Web of Science and identified 40 empirical studies that satisfied our inclusion criteria. Specifically, we used four criteria for the screening process: (1) the study's full text was available in English; (2) the study was published before April 10th, 2024 in peer-reviewed journals or conference proceedings; (3) the study was primary research that collected original data and applied qualitative, quantitative, or mixed-methods as the study methodology; and (4) the study had a clear focus on ethical and/or responsible AI in one or multiple educational context(s). …”
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A Dynamic Hill Cipher with Arnold Scrambling Technique for Medical Images Encryption by Yuzhou Xi, Yu Ning, Jie Jin, Fei Yu

“…Cryptography ensures secure communication and data privacy, and it has been increasingly applied in healthcare and related areas. …”
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Identifying Stakeholder Values for an eHealth Intervention to Facilitate Home-Based Geriatric Rehabilitation: A Qualitative Multi-Method Approach by Michael Bernardus Gustaaf Zonneveld MSc, Margriet Christine Pol PhD, Wilco Pieter Achterberg MD, PhD, Eléonore Françoise van Dam van Isselt PhD

“…An agile science approach allowed for iterative data collection and analysis until an optimal fit was achieved. …”
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Adaptive Federated Learning With Reinforcement Learning-Based Client Selection for Heterogeneous Environments by Shamim Ahmed, M. Shamim Kaiser, Sudipto Chaki, A. B. M. Shawkat Ali

“…The framework integrates reinforcement learning (RL) based client selection using both Tabular Q-Learning and Deep Q-Network (DQN) strategies to dynamically identify clients that most positively impact global model performance. …”
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Development of a Solar-Powered Edge Processing Perimeter Alert System with AI and LoRa/LoRaWAN Integration for Drone Detection and Enhanced Security by Mateo Mejia-Herrera, Juan Botero-Valencia, José Ortega, Ruber Hernández-García

“…The system is powered by a LiPo battery, which is recharged using solar energy. The perimeter alert system offers numerous advantages, including edge processing for enhanced data privacy and reduced latency, integrating multiple sensors for increased accuracy, and a decentralized approach to improving security. …”
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