A Biologically Inspired Trust Model for Open Multi-Agent Systems That Is Resilient to Rapid Performance Fluctuations by Zoi Lygizou, Dimitris Kalles

“…In contrast to existing trust modeling research, this study conducts a comprehensive evaluation of our model using widely recognized trust model criteria, assessing its resilience against common trust-related attacks while identifying strengths, weaknesses, and potential countermeasures. …”
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Blockchain-Based, Dynamic Attribute-Based Access Control for Smart Home Energy Systems by Urooj Waheed, Sadiq Ali Khan, Muhammad Masud, Huma Jamshed, Touqeer Ahmed Jumani, Najeeb Ur Rehman Malik

“…The literature reveals numerous cases of cyberattacks on IoT-based energy infrastructures, primarily involving unauthorized access, data breaches, and device exploitation. Therefore, designing a robust ecosystem with secure and efficient access control (AC), while safeguarding user functionality and privacy, is essential. …”
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Exclusive breastfeeding practices and factors affecting them in urban areas of Uttar Pradesh by Prakhar Sharma, Neha Bansal, Abha Kaul

“…Data analysis was performed using Statistical Package for Social Sciences, including descriptive statistics and the Chi-square test for categorical variables (P < 0.05). …”
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Artificial intelligence knowledge, attitudes and application perspectives of undergraduate and specialty students of faculty of dentistry in Turkey: an online survey research by Cemile Yılmaz, Rahime Zeynep Erdem, Latife Altınok Uygun

“…Statistical analysis was performed using IBM SPSS version 26.0, with quantitative data presented as mean ± standard deviation and categorical data as frequency (percentage). …”
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Benchmarking Accelerometer and CNN-Based Vision Systems for Sleep Posture Classification in Healthcare Applications by Minh Long Hoang, Guido Matrella, Dalila Giannetto, Paolo Craparo, Paolo Ciampolini

“…The results demonstrate that while image-based models are effective, accelerometer-based classification offers higher precision and robustness, particularly in real-time and privacy-sensitive scenarios. Further comparisons of the system characteristics, data size, and training time are also carried out to offer crucial insights for selecting the appropriate technology in clinical, in-home, or embedded healthcare monitoring applications.…”
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A secured remote patient monitoring framework for IoMT ecosystems by Pronaya Bhattacharya, Anwesha Mukherjee, Bharat Bhushan, Shashi Kant Gupta, Thippa Reddy Gadekallu, Zhu Zhu

“…There is a need for real-time IoMT computing closer to the dew, with secured and privacy-enabled access to healthcare data. To address this, we propose the DeW-IoMT framework, which includes a dew layer in the roof-fog-cloud systems. …”
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Machine Learning-Based Blockchain Technology for Secure V2X Communication: Open Challenges and Solutions by Yonas Teweldemedhin Gebrezgiher, Sekione Reward Jeremiah, Xianjun Deng, Jong Hyuk Park

“…However, as V2X communication becomes more widespread, it becomes a prime target for adversarial and persistent cyberattacks, posing significant threats to the security and privacy of CAVs. These challenges are compounded by the dynamic nature of vehicular networks and the stringent requirements for real-time data processing and decision-making. …”
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Obstetric Caregivers’ Perspectives on Barriers and Perceived Impacts of Male Involvement in Antenatal Care and Labour in Ekiti State, Nigeria: A Qualitative Study by Adetunmise Olajide, Deborah Esan, Ilerioluwa Adeniyi, Carlos Ramos

“…Twelve obstetric caregivers (six doctors and six midwives) were purposivelyselected based on their experience in ANC and labour care. Data were collected through two focusgroup discussions using a semi-structured interview guide. …”
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Syntactic Analysis of Spatial Structure Characteristics of Traditional Villages Along the Yellow River in Western Shanxi Province by Chenge GAO, Fang WANG

“…Villages with similar characteristics are classified into the same category, with the analysis of variance (ANOVA) being further used to explore the differences between these categories. …”
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Verifiable Threshold Multi-Party Fully Homomorphic Encryption from Share Resharing by Yuqi Xie, Ruwei Huang, Junbin Qiu

“…Threshold multi-party fully homomorphic encryption (TMFHE) schemes enable efficient computation to be performed on sensitive data while maintaining privacy. These schemes allow a subset of parties to perform threshold decryption of evaluation results via a distributed protocol without the need for a trusted dealer, and provide a degree of fault tolerance against a set of corrupted parties. …”
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Leveraging Blockchain Technology for Secure 5G Offloading Processes by Cristina Regueiro, Santiago de Diego, Borja Urkizu

“…This paper proposes a Blockchain-based marketplace using Hyperledger Fabric to optimize resource allocation and enhance security. …”
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Regulating AI in the Energy Sector: A Scoping Review of EU Laws, Challenges, and Global Perspectives by Bo Nørregaard Jørgensen, Zheng Grace Ma

“…Using the PRISMA-ScR methodology, this scoping review systematically analyzes how EU laws and regulations influence the development, adoption, and deployment of AI-driven digital solutions in energy generation, transmission, distribution, consumption, and markets. …”
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Teenage Motherhood and its Effect on the Social Welfare of The Victims: A Case Study of Kabale Municipality. by Kwesiga, Siifa

“…Hence the study offers an in-depth analysis of the relative contribution of some socio¬demographic factors in explaining adolescent pregnancy in Kabale Municipality. Using primary data collected from different parts of the district, a sample of 30 female adolescents in the age range of 10-19 years was studied. …”
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Acceptability of self-sampling and self-testing for infections: a rapid systematic review on public users’ views by Aleksandra J. Borek, Caity Roleston, Runa Lazzarino, Mineli Cooray, Gail Hayward, Nia Roberts, Edward Blandford, Tom Fowler, Sarah Tonkin-Crine

“…Abstract Background Self-sampling and self-testing have been increasingly used for sexually transmitted infections (STIs) and quickly became widespread during the COVID-19 pandemic. …”
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Are the mothers admitted for childbirth in a tertiary care hospital satisfied with the health care services? A mixed methods study from Mangaluru, Karnataka state, India by S. Vineetha, Mubeena Haleema, Abhay S. Nirgude

“…Methods and material: It is a sequential explanatory mixed method study conducted in the Obstetrics and Gynaecology department in a tertiary college hospital among 291 pregnant women admitted for childbirth. Quantitative data obtained using expert validated questionnaire was entered in an Excel sheet and analyzed using IBM SPSS Version 23. …”
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Heuristic Usability Evaluation of Web-Based COVID-19 Management Dashboard by Somayyeh Zakerabasali, Farnaz Salehian

“…Background and Aim: Today, information dashboards are the main tools for understanding and extracting knowledge from large data sets and can be used in various forms by healthcare providers. …”
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Assessment of Patients' Knowledge and Awareness about their Rights and Duties by Jasim N. Al-Asadi, Alaa H. Abed, Sabah A. Shami, Husam Al-Shammary, Shukrya K. Khalaf

“…Data analysis was done using SPSS version 19. Chi-square test was used to compare the proportions among the various groups and a P-value of <0.05 was considered to be statistically significant. …”
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Barriers to Sexual and Reproductive Health and Rights of Migrant and Refugee Youth: An Exploratory Socioecological Qualitative Analysis by Michaels Aibangbee, Sowbhagya Micheal, Pranee Liamputtong, Rashmi Pithavadian, Syeda Zakia Hossain, Elias Mpofu, Tinashe Moira Dune

“…The focus groups were co-facilitated by youth project liaisons to ensure their authenticity and validity. The data were analysed thematically and interpreted using socioecological theory. (3) Results: The findings identified socioecological barriers, a lack of awareness about and access to services, and sociocultural dissonance as leading to the under-implementation of SRHRs services. …”
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DualBranch-AMR: A Semi-Supervised AMR Method Based on Dual-Student Consistency Regularization with Dynamic Stability Evaluation by Jiankun Ma, Zhenxi Zhang, Linrun Zhang, Yu Li, Haoyue Tan, Xiaoran Shi, Feng Zhou

“…While deep learning has substantially improved the performance of Automatic Modulation Recognition (AMR), it heavily relies on large amounts of labeled data. Given the high annotation costs and privacy concerns, researching semi-supervised AMR methods that leverage readily available unlabeled data for training is of great significance. …”
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Effectiveness of Health Management Information System in Selected Sub-Counties of Ryakarimira Town Council and Rubaya Sub-County. by Ayebare, Esther Loy

“…The research utilized a cross-sectional design, incorporating both qualitative and quantitative approaches. Data were collected from 70 healthcare professionals in the selected sub-counties using questionnaires, interviews, and a thorough review of existing reports, policies, and other literature. …”
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