Diagnostic Applications of AI in Sports: A Comprehensive Review of Injury Risk Prediction Methods by Carmina Liana Musat, Claudiu Mereuta, Aurel Nechita, Dana Tutunaru, Andreea Elena Voipan, Daniel Voipan, Elena Mereuta, Tudor Vladimir Gurau, Gabriela Gurău, Luiza Camelia Nechita

“…This review also addresses critical issues such as data quality, ethical concerns, privacy, and the need for transparency in AI applications. …”
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Reinforcement learning based route optimization model to enhance energy efficiency in internet of vehicles by Quadeer Hussain, Ahmad Shukri Mohd Noor, Muhammad Mukhtar Qureshi, Jianqiang Li, Atta-ur Rahman, Aghiad Bakry, Tariq Mahmood, Amjad Rehman

“…However, some issues remain, like data protection, privacy, compatibility with other protocols and systems, and the availability of stable and continuous connections. …”
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Current Implementation of Digital Health in Chronic Disease Management: Scoping Review by Candelyn Pong, Rachel Marjorie Wei Wen Tseng, Yih Chung Tham, Elaine Lum

“…We used established taxonomies to synthesize extracted data. …”
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New Image Crypto-Compression Scheme Based on Ecc and Chaos Theory for High-Speed and Reliable Transmission of Medical Images in the IOMT by Kinani Khadija El, Amounas Fatima, Bendaoud Salma, Azrour Mourade, Badiy Mohamed

“…Ensuring the security and privacy of medical data is crucial when integrating with smart and intelligent sensor devices within the hospital environment. …”
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Insights from platelet donors in tertiary care hospitals by Swapna Yalamanchili, Vijayashree Raghavan, Femela Muniraj, V. Mythily

“…Statistical Analysis: Data were analyzed using descriptive statistics and percentage analysis with SPSS version 23. …”
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Biometrically-independent fuzzy signatures: signing with biometrics without embedding them by Saki Otsuki, Haruna Higo, Toshiyuki Isshiki, Kengo Mori, Satoshi Obana, Hiroto Tamiya, Kenji Yasunaga

“…However, FS faces two significant privacy concerns. First, using biometric information as the signing key restricts users’ ability to manage multiple distinct keys for different applications. …”
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Large Language Model and Traditional Machine Learning Scoring of Evolutionary Explanations: Benefits and Drawbacks by Yunlong Pan, Ross H. Nehm

“…Few studies have compared Large Language Models (LLMs) to traditional Machine Learning (ML)-based automated scoring methods in terms of accuracy, ethics, and economics. Using a corpus of 1000 expert-scored and interview-validated scientific explanations derived from the ACORNS instrument, this study employed three LLMs and the ML-based scoring engine, EvoGrader. …”
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Exploring the potential of GenAI for personalised English teaching: Learners' experiences and perceptions by Lucas Kohnke, Di Zou, Fan Su

“…Our results underscore the need for professional development for educators and the establishment of guidelines to address academic integrity and data privacy.…”
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Lightweight terminal cross-domain authentication protocol in edge computing environment by Hongying ZHU, Xinyou ZHANG, Huanlai XING, Li FENG

“…Edge computing has gained widespread usage in intelligent applications due to its benefits, including low latency, high bandwidth, and cost-effectiveness.However, it also faces many security challenges due to its distributed, real-time, multi-source and heterogeneous data characteristics.Identity authentication serves as the initial step for terminal to access to the network and acts as the first line of defense for edge computing.To address the security issues in the edge computing environment, a terminal cross-domain authentication protocol suitable for the edge computing environment was proposed based on the ＆quot;cloud-edge-end＆quot; three-level network authentication architecture.Access authentication was implemented between terminals and local edge nodes based on the SM9 algorithm, and session keys were negotiated.The secret key was combined with symmetric encryption technology and hash function to achieve cross-domain authentication for the terminal.The pseudonym mechanism was used in the authentication process to protect the privacy of end users.The terminal only needs to register once, and it can roam randomly between different security domains.BAN logic was used to prove the correctness of the protocol and analyze its security.The results show that this protocol is capable of resisting common attacks in IoT scenarios, and it features characteristics such as single sign-on and user anonymity.The performance of the cross-domain authentication protocol was evaluated based on computational and communication costs, and compared with existing schemes.The experimental results show that this protocol outperforms other schemes in terms of computational and communication costs, making it suitable for resource-constrained terminal devices.Overall, the proposed protocol offers lightweight and secure identity authentication within edge computing environments.…”
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Comparison of medical history documentation efficiency and quality based on GPT-4o: a study on the comparison between residents and artificial intelligence by Xiaojing Lu, Xinqi Gao, Xinyi Wang, Zhenye Gong, Jie Cheng, Weiguo Hu, Shaun Wu, Rong Wang, Xiaoyang Li

“…Medical history quality was evaluated by two attending physicians with over 10 years of clinical experience using ten case content criteria. Data were analyzed using paired t-tests and Wilcoxon signed-rank tests, with Kappa coefficients used to assess scoring consistency. …”
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Analisa Sentimen Financial Technology Peer To Peer Lending Pada Aplikasi Koinworks by Rousyati Rousyati, Windu Gata, Dany Pratmanto, Nia Kusuma Wardhani

“…Reviews contained in the Google Play comments column can be used as a data source that can be shared with data mining. …”
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AI Impact on Hotel Guest Satisfaction via Tailor-Made Services: A Case Study of Serbia and Hungary by Ranko Makivić, Dragan Vukolić, Sonja Veljović, Minja Bolesnikov, Lóránt Dénes Dávid, Andrea Ivanišević, Mario Silić, Tamara Gajić

“…This study examines the level of implementation of artificial intelligence (AI) in the personalization of hotel services and its impact on guest satisfaction through an analysis of tourists’ attitudes and behaviors The focus of the research is on how personalized recommendations for food and beverages, activities, and room services, delivered by trustworthy AI systems, digital experience, and the perception of privacy and data security, influence overall guest satisfaction. …”
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Digital Twins for Smarter Iranian Cities: A Future Studies Perspective by Nader Zali, Ali Soltani, Peyman Najafi, Salima Ebadi Qajari, Mehrdad Mehrju

“…Policy implications suggest that governments should prioritise supportive policies, investments in digital infrastructure, and collaborative efforts to address data privacy, security, and ownership issues. By addressing these challenges, developing countries can leverage UDT technology to improve urban planning, resource management, and quality of life.…”
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Influences of Human Presence on the Indoor Air Quality of Educational Institutions: Concurrent Multipollutant Sensing Approach by Rajib Das, Aritra Acharyya, Shubhankar Majumdar

“…PM findings were inconclusive because of concurrent inhalation effects. All occupancy data were privacy-preserving—images were processed on the device and never stored. …”
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Internet-Based Mass Communication in Multi-Level Marketing Companies Operating in Poland by Nowotarska-Romaniak Beata, Szczepanik Sonia

“…This study examines the areas of Internet-based mass communication (websites, social media) utilized by multi-level marketing (MLM) companies operating in Poland, using methods including literature review, descriptive analysis, and statistical analysis of primary data. …”
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Application of Terminal Audio Mixing in Multi-Bandwidth End-to-End Encrypted Voice Conference by Chi-Hung Lien, Ya-Ching Tu, Sheng-Lian Liao, Juei-Chi Chu, Chia-Yu Hsieh, Jyun-Jia Jhang

“…It can be used in low-bandwidth scenarios such as satellite networks. …”
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Application of Artificial Intelligence in Prosthodontics in the 21st century by Lavanya V, Keerthivasan MS, Venkatakrishnan CJ, Tamizhesai BV, Anandh V

“…Limitations include a lack of data privacy insufficient practitioner training high implementation costs ethical concerns and incomplete standardization of AI algorithms. …”
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Large-scale long-tailed disease diagnosis on radiology images by Qiaoyu Zheng, Weike Zhao, Chaoyi Wu, Xiaoman Zhang, Lisong Dai, Hengyu Guan, Yuehua Li, Ya Zhang, Yanfeng Wang, Weidi Xie

“…In this paper, we introduce RadDiag, a foundational model supporting 2D and 3D inputs across various modalities and anatomies, using a transformer-based fusion module for comprehensive disease diagnosis. …”
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Analyzing Visitor Behavior to Enhance Personalized Experiences in Smart Museums: A Systematic Literature Review by Rosen Ivanov, Victoria Velkova

“…Behavioral Analytics Platforms and Mobile/Wearable Devices are the most used technologies (42.4%) for delivering personalized content. …”
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AI in the Classroom: Insights from Educators on Usage, Challenges, and Mental Health by Julie A. Delello, Woonhee Sung, Kouider Mokhtari, Julie Hebert, Amy Bronson, Tonia De Giuseppe

“…This study highlights a gap in institutional AI policies, leading some educators to establish their own guidelines, particularly for matters such as data privacy and plagiarism. Furthermore, respondents identified a significant need for professional development focused on AI literacy and ethical considerations. …”
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