The Effect of Viral Promotional Advergames on the Behavioral Reactions by Mostafa Heidari Haratemeh

“…This research used data from pre-measure and post-measure assessments within a real viral marketing campaign. …”
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Developments in Deep Learning Artificial Neural Network Techniques for Medical Image Analysis and Interpretation by Olamilekan Shobayo, Reza Saatchi

“…While deep learning has demonstrated significant potential in enhancing diagnostic accuracy across multiple medical imaging modalities—including MRI, CT, US, and X-ray—factors such as model trust, data privacy, and ethical considerations remain ongoing concerns. …”
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AI-Enhanced Disaster Management: A Modular OSINT System for Rapid Automated Reporting by Klaus Schwarz, Kendrick Bollens, Daniel Arias Aranda, Michael Hartmann

“…Through our case studies on Hurricane Harvey and the 2023 Turkey earthquake, we show how complex tasks can be quickly broken down with ODET while achieving a score of up to 89% using the AlignScore metric. ODET enables compliance with Berkeley protocol requirements by ensuring data privacy and using privacy-preserving processing methods. …”
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The Dynamics of Regional Head Elections in the Digital Era in Indonesia: The Perspective of First-Time Voters by Mulyadi Dedi, Putri Kayla Andini, Aulia Salsabila Hadi, Akbar Rivaldi Aka, Mawardi Muhamad Fahri, Garnita Camiliya Fakhriyah

“…However, on the other hand, the use of social media in political campaigns faces several challenges, including the spread of disinformation, manipulation of opinions by buzzers and influencers, and potential violations of user data privacy. …”
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THE ANALYSIS OF THE KEY DRIVERS AND BARRIERS OF CLOUD MIGRATION IN COMPANIES IN BOSNIA AND HERZEGOVINA by Kasim Tatić, Zijad Džafić, Mahir Haračić, Merima Haračić

“… The effective use of cloud technology eliminates the barriers and potential IT obstacles that companies face by using a traditional way of developing a platform for the information systems, as a backbone of modern business. …”
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Algorithms weighing lives and freedoms: The case of China’s health code by Ina Virtosu, Chen Li

“…Digital contact tracing has attracted enormous interest among academics and legislators since the outbreak of COVID-19, which resulted in several policy papers and research works, discussing issues, such as the effectiveness and accuracy of virus detection, as well concerns in regard to discrimination and data privacy. However, most of the articles refers to technologies and its implications in the West, and less to the peculiarities and problems related to the use of Chinese health code. …”
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Hybrid pre trained model based feature extraction for enhanced indoor scene classification in federated learning environments by Monica Dutta, Deepali Gupta, Vikas Khullar, Sapna Juneja, Roobaea Alroobaea, Pooja Sapra

“…This study proposes and implements a novel MultiData model, which integrates DL with Linear Discriminant Analysis (LDA) and Federated Learning (FL) to enhance classification performance while preserving data privacy. …”
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Investigating Online Psychotherapy in the Framework of Ethical Codes by Gamze Şen Pakyürek, Burcu Korkmaz Yayın

“…The ways people communicate and interact have been changing over time as a result of the increasingly widespread developments and changes in technology. The use of the Internet, which has become an inevitable part of human life, increasingly raises the question of whether psychotherapy can be performed over the Internet. …”
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Digital technologies in education: the view of medical students by A. G. Zabolotniy, M. E. Mirgorodskaya, A. O. Moskalenko, A. I. Loseva

“…Despite the overall positive perception, the study identified existing problems, such as a lack of practical skills, data privacy issues, and decreased concentration.Conclusion. …”
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Distributed Photovoltaic Short-Term Power Prediction Based on Personalized Federated Multi-Task Learning by Wenxiang Luo, Yang Shen, Zewen Li, Fangming Deng

“…The federal learning framework is used to enhance the privacy of photovoltaic data and improve the model’s performance in a distributed environment. …”
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Advanced Deep Learning Algorithms for Energy Optimization of Smart Cities by Izabela Rojek, Dariusz Mikołajewski, Krzysztof Galas, Adrianna Piszcz

“…Federated learning ensures privacy-preserving data sharing in distributed energy systems, promoting collaboration without compromising security. …”
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The application of artificial intelligence in insomnia, anxiety, and depression: A bibliometric analysis by Enshi Lu, Di Zhang, Mingguang Han, Shihua Wang, Liyun He

“…However, challenges around data privacy, ethical concerns, and the interpretability of AI models need to be addressed. …”
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Decentralized Distributed Sequential Neural Networks Inference on Low-Power Microcontrollers in Wireless Sensor Networks: A Predictive Maintenance Case Study by Yernazar Bolat, Iain Murray, Yifei Ren, Nasim Ferdosian

“…The growing adoption of IoT applications has led to increased use of low-power microcontroller units (MCUs) for energy-efficient, local data processing. …”
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Agents for Change: Artificial Intelligent Workflows for Quantitative Clinical Pharmacology and Translational Sciences by Mohamed H. Shahin, Srijib Goswami, Sebastian Lobentanzer, Brian W. Corrigan

“…By integrating domain‐specific tools while maintaining data privacy and regulatory standards, well‐designed agentic workflows empower scientists to automate routine tasks and make more informed decisions. …”
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الهندسة الاجتماعیة وشبکات التواصل الاجتماعى وتاثیرها على المجتمع العربى by د. مها أحمد ابراهیم

“…The study also comes up with thefollowing results: positively, individuals of the academic community succeeded atprotecting their data automatically and at a high rate. Selection of fake namesconstitutes half of the academic community ( 53.2%), who use social networksand this is explored by their deny of personal data or by writing fake personaldata. …”
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Bridging the Gap between Neuroarchitecture, Artificial Intelligence, and Sustainability: A Systematic Review of Mental Health in the Built Environment by Esraa Elazab, Ahmed ELtawil

“…Ethical considerations related to data privacy and consent are also discussed, providing a comprehensive understanding of the potential and challenges in designing AI-driven neuroarchitecture-sustainable adaptive designs.…”
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Exploring the Knowledge and Utilization of Video-Based Surgical Learning Among Medical Students in a Teaching Hospital in Nigeria: A Mixed-Methods Study by Asogun Daniel, Akhaine Jesu-Oboh Precious, Sulymon A. Saka, Vivian Oghobaghase, Ojeh-Oziegbe Oseyomon, Francis Ufuah, Adomi Solomon

“…Quantitative data were analyzed using SPSS version 21 for descriptive statistics, while thematic coding was applied to qualitative data using NVivo. …”
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Healthcare professionals and the public sentiment analysis of ChatGPT in clinical practice by Lizhen Lu, Yueli Zhu, Jiekai Yang, Yuting Yang, Junwei Ye, Shanshan Ai, Qi Zhou

“…This study was divided into five steps: data collection, data cleaning, validation of relevance, sentiment analysis, and content analysis using the K-means algorithm. …”
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Enmob: Unveil the Behavior with Multi-flow Analysis of Encrypted App Traffic by Ge Mengmeng, Feng Ruitao, Liu Likun, Yu Xiangzhan, Sachidananda Vinay, Xie Xiaofei, Liu Yang

“…The efficacy of our approach was evaluated using a substantial volume of real network traffic data. …”
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