DiReDi: Distillation and Reverse Distillation for AIoT Applications by Chen Sun, Qiang Tong, Wenshuang Yang, Wenqi Zhang

“…When the user needs to update the edge-AI model to better fit the actual scenario, two reverse distillation (RD) processes are employed to extract the knowledge – the difference between user preferences and the manufacturer's presumptions from the edge-AI model using the user's exclusive data. Only the extracted knowledge is reported back to the upper management cloud server to update the cloud AI model, thus protecting user privacy by not using any exclusive data. …”
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BERT ensemble based MBR framework for android malware detection by Faisal S. Alsubaei, Abdulwahab Ali Almazroi, Walid Said Atwa, Abdulaleem Ali Almazroi, Nasir Ayub, Noor Zaman Jhanjhi

“…By leveraging their strengths, the MBR model introduces significant innovation. By using ensemble methods on static data, the MBR framework not only provides a reliable malware detection solution but also presents a novel strategy. …”
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Developing a Life Story Intervention for Older Adults With Dementia or at Risk of Delirium Who Were Hospitalized: Multistage, Stakeholder-Engaged Co-Design Study by Sarah J Flessa, James D Harrison, Roniela Turnigan, Megan Rathfon, Michael Chandler, Jay Newton-Small, Stephanie E Rogers

“…We used content analysis to analyze qualitative data and descriptive statistics to summarize quantitative data. …”
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CAFiKS: Communication-Aware Federated IDS With Knowledge Sharing for Secure IoT Connectivity by Ogobuchi Daniel Okey, Demostenes Zegarra Rodriguez, Frederico Gadelha Guimaraes, Joao Henrique Kleinschmidt

“…Federated learning has recently gained significant attention as a method for building machine learning models due to its ability to preserve data privacy while delivering improved performance. …”
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Emergency department care experiences among 2SLGBTQQIA+ patients: a mixed methods study by Sidonie Chard, Sawyer Karabelas-Pittman, Kel Martin, Elliot Chapple, David Messenger, Susan A. Bartels, Melanie Walker

“…Participants were recruited from the Kingston Health Sciences Centre’s ED, Urgent Care Centre, and at community-based organisations. Quantitative data were analysed using chi-squared tests, while qualitative data underwent thematic analysis. …”
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Digital Transformation in Higher Education: Enhancing Support Services Through Mobile Apps by Anusuyah Subbarao, Nasreen Khan, Aysa Siddika, Muhammad A. Fathullah, Mohd A. Sanwani, Fia F. Adam, Debrina V. Ferezagia, Melisa B. Altamira

“…In contrast, other elements such as ease of use, competence, accessibility, and data privacy were not deemed significant concerns by the students. …”
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Modern Trends in the Digitalization of Higher Physical Education in China by Chen RUI

“…Additionally, the study emphasizes the need for educator training and professional development, as many physical education teachers lack digital literacy or are resistant to new technologies. Data privacy and security issues are another significant challenge, particularly with the collection and use of personal and health data from wearable devices and online platforms. …”
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Evaluation of ERP softwares with fuzzy AHP integrated TODIM method by A. Çağrı Tolga

“…Furthermore,the company's data privacy policy has been incorporated into the solutionprocedure with the fuzzy logic, which takes into account these drawbacks.Besides, it has been ensured that the cost criterion is integrated in adetailed manner. …”
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Adoption of internet of things in residential smart homes: A structural equation modeling approach by Amir Mohammad Norouzzadeh, Seyed Pendar Toufighi, Jan Vang, Abolfazl Edalatipour

“…This study explores the behavioral factors influencing IoT adoption in residential smart buildings. Using a descriptive-survey method, data were collected from 97 companies involved in the smart home sector through structured questionnaires. …”
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Patient and clinician perceptions of telehealth in musculoskeletal physiotherapy services - A systematic review of the evidence-base. by Anthony Smith, Sue Innes

“…Methodological quality was evaluated using the CASP, JBI and QuADS tools. Findings were evaluated via consensus and showed clear patient and clinician satisfaction with positive themes of reduced travel, reduced physical burden, flexibility/accessibility and negative themes of reduced physical contact, computer literacy and privacy infringements. …”
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Leveraging Blockchain for Transparency: A Study on Organ Supply Chains and Transplant Processes by Rashmi Ranjan Panigrahi, Subhodeep Mukherjee, Zakir Hossen Shaikh, Naji Mansour Nomran

“…Structural equation modelling was used to test and validate the model. <i>Results</i>: The study’s findings indicate that social influence, trust, facilitating conditions, government support, performance expectancy, data security and privacy, and technology affinity positively impact blockchain adoption in organ transplants. …”
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Enhancing reliability and security in cloud-based telesurgery systems leveraging swarm-evoked distributed federated learning framework to mitigate multiple attacks by S. Punitha, K. S. Preetha

“…To address these issues, a distributed framework based on federated learning is proposed, integrating Optimized Gated Transformer Networks (OGTN) with layered chaotic encryption schemes to mitigate multiple unknown cyberattacks while preserving data privacy and integrity. The framework was implemented using TensorFlow Federated Learning Libraries (FLL) and evaluated on the UNSW-NB15 dataset. …”
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Harnessing artificial intelligence of things for cardiac sensing: current advances and network-based perspectives by Hao Ren, Hao Ren, Hao Ren, Fengshi Jing, Yongcong Ma, Ruining Wang, Chaocheng He, Yufan Wang, Jiandong Zhou, Yu Sun

“…Looking ahead, we anticipate that this field will increasingly prioritize data privacy protection, particularly in the era of large language models, to address emerging challenges and ensure sustainable growth. …”
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The State of Artificial Intelligence and its Prospects in Pakistan's Medical Sector by Rohail Akhtar Habib, Yumna Sattar Khan

“…The rising integration of AI in Pakistani medicine necessitates the evolution of regulatory frameworks to guarantee patient safety, data privacy, and ethical application of AI technologies. …”
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Integrated approach in the control and management of skin neglected tropical diseases in Lalo, Benin. by Yves Thierry Barogui, Gabriel Diez, Esai Anagonou, Roch Christian Johnson, Inès Cica Gomido, Hermione Amoukpo, Zoulkifl Salou Bachirou, Jean Gabin Houezo, Raoul Saizonou, Ghislain Emmanuel Sopoh, Kingsley Asiedu

“…<h4>Methods</h4>It is a cross-sectional study using a single set of activities data conducted from May 2016 to December 2016. …”
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Older adult stroke survivors’ needs and perspectives of a stroke app: a qualitative study by Wenjing Cao, Afang Li, Azidah Abdul Kadir, Juan Chen, Lanying Chen, Qing Li, Intan Idiana Hassan

“…Face-to-face semi-structured interviews were conducted between August and October 2024. Data were transcribed verbatim and analysed using Haase's adaptation of Colaizzi's phenomenological method. …”
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Integrating population-based biobanks: Catalyst for advances in precision health by Jui-Chu Lin, Yi-Lien Liu, Wesley Wei-Wen Hsiao, Chien-Te Fan

“…Challenges in integrating different biobanks include data format consistency, privacy concerns, and legal constraints. …”
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Swachh Bharat Mission Gramin: Uptake and challenges in rural Coimbatore by Iswarya Natarajan, Kathiravan Rajendran, Seetharaman Narayanan, Jeevithan Shanmugam

“…Quantitative data were analysed using Statistical Package for the Social Sciences (SPSS) v23 and qualitative data using manual thematic content analysis. …”
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Acceptability of digital vending machines to improve access to sexual and reproductive health in Brighton, UK: a qualitative analysis by Jaime H Vera, Richard Cooper, Syra Dhillon, John Mear, Gillian Louise Dean, Rhys D Wenlock

“…Stakeholders were staff on sites where the VM was placed. Data analysis took place on NVivo, using a thematic approach.Results 12 users completed the interview. 42% within the age 18–25 years with equal male and female identifying distributions. 33% were heterosexual, 25% homosexual and 33% bisexual. …”
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Exploring knowledge and attitudes toward electronic informed consent among clinical trial participants in China: a cross-sectional study by Ying Wu, Xing Liu, Xiaoying Ge, Xin Tan, Weiwei Yu, Xiaomin Wang

“…However, they also express concerns about data protection and privacy security in eIC. These findings provide a foundation for developing targeted strategies to enhance the adoption and acceptance of eIC among diverse populations.…”
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