Artificial intelligence in intelligent transportation systems by Leila Zemmouchi-Ghomari

“…Nonetheless, issues like data quality, real-time processing, security, public acceptability, and privacy concerns need resolution. …”
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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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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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AIoT: a taxonomy, review and future directions by Jiyi WU, Wenjuan LI, Jian CAO, Shiyou QIAN, Qifei ZHANG, Rajkumar BUYYA

“…AIoT (artificial intelligence of things) is an integrated product of artificial intelligence (AI) and internet of things (IoT).Currently, it has been widely used in smart cities, smart homes, smart manufacturing, and driverless.However, the research of AIoT is still in its infancy, facing with many problems and challenges.In order to clarify the concept and provide possible solutions, a comprehensive survey was carried out on AIoT.Firstly, a clear definition of AIoT was provided, along with the brief introduction on its background and application scenarios.And then a novel cloud-edge-end hybrid AIoT architecture for intelligent information processing was constructed.Based on the research framework of AIoT, the research status and solutions were discussed, including AI integrated IoT data acquisition, complex event processing and coordination, cloud-edge-end integration, AI-enhanced IoT security and privacy, and AI-based applications, etc.Finally, it identified the open challenges and offers future research directions.…”
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Considering the ethical aspects of artificial intelligence application from the consumer perspective by Jovanka Vukmirović, Lola Maričić, Selena Stanojevic, Aleksandra Vukmirović, Ivan Mandić

“…Artificial intelligence (AI) uses large datasets to "train" algorithms that make autonomous decisions, leading to significant changes across fields, including digital marketing and personalized advertising. …”
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Doctrina: Blockchain 5.0 for Artificial Intelligence by Khikmatullo Tulkinbekov, Deok-Hwan Kim

“…Compared to the existing approaches, Doctrina allows sharing and using AI services in a fully distributed and privacy-preserved manner.…”
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Current Status, Key Issues and Development Trends of DeFi by Wang Jianrui

“…Decentralized Finance (DeFi) has become a transformative force in the financial sector, using blockchain technology to create open, permissionless financial services. …”
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Human-centred SME factories: the future of work in SMEs under industry 5.0 by Philani Nduna Zincume, Maria Maier

“…These include regional challenges like data privacy in Europe and skills deficits in South Africa. …”
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Patients’ Health Records Management in Ugandan Hospitals: A Case of Kabale Regional Referral Hospital by Daniel, Nabimanya, Sembatya, Richard, Ambrose, Atuhaire, Phelix, Businge Mbabazi

“…The researcher interviewed fifty (50) Interviewees and data was analyzed using NVIVO version 11.The findings revealed that 88% of the total interviewees express the need for their information to be kept secret from untrusted parties while 12% of the total interviewees didn’t express the need for their information secrecy from untrusted parties. …”
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Effects of Virtual Care on Patient and Provider Experience of the Clinical Encounter: Qualitative Hermeneutic Study by Graham McCaffrey, Erin Wilson, Lela V Zimmer, Anurag Singh, Steinunn Jonatansdottir, Peter Zimmer, David Snadden, Ian D Graham, Martha MacLeod

“…A total of 17 patients and 10 providers from various disciplines were interviewed by phone as part of a study on health care implementation in the context of a kidney care service in northern British Columbia, Canada. The interview data were analyzed using a hermeneutic approach, which emphasizes careful attention to reported experiences in relation to the relationships and contexts of care. …”
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Multicountry research on comprehensive abortion policy implementation in Latin America: a mixed-methods study protocol by Guillermo Carroli, Antonella Lavelanet, Silvina Ramos, Mariana Romero, Rodolfo Gomez Ponce de Leon, Berenise Carroli, Celina Gialdini, Agustina Ramón Michel, Mercedes Vila Ortiz

“…Informed consent will be obtained from participants. Data will be treated with careful attention to protecting privacy and confidentiality. …”
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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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A Review of Deep Learning Techniques for Leukemia Cancer Classification Based on Blood Smear Images by Rakhmonalieva Farangis Oybek Kizi, Tagne Poupi Theodore Armand, Hee-Cheol Kim

“…Despite these advancements, challenges such as dataset limitations, the lack of model interpretability, and ethical concerns regarding data privacy and bias remain critical barriers to widespread adoption. …”
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Fortified-Edge 2.0: Advanced Machine-Learning-Driven Framework for Secure PUF-Based Authentication in Collaborative Edge Computing by Seema G. Aarella, Venkata P. Yanambaka, Saraju P. Mohanty, Elias Kougianos

“…This eliminates the need to transmit sensitive binary data, reducing the attack surface and bandwidth usage. …”
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Bitcoin Mining in Turkey as an Example of Speculative Entrepreneurship by Ali Osman Uymaz, Ali Rıza Esmen

“…The collected data thus was analyzed and coded thorough thematic analysis. …”
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Exploration of the Efficiency of SLM-Enabled Platforms for Everyday Tasks by Volodymyr Rusinov, Nikita Basenko

“…With growing concerns around data privacy and the resource-intensiveness of large models, SLMs present a promising solution for research and applications requiring fast, cost-effective, and locally deployable models. …”
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Emotional Factor Recognition and Teaching Strategy Adjustment in Cultural Teaching Supported by Artificial Intelligence by Yu Xiaochen

“…Emotion recognition technology collects students’ facial expressions, speech features, and physiological data, and uses deep learning algorithms to analyze students’ emotional states in real time, providing accurate feedback support for teaching. …”
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EXPLORING BIBLIOSHINY FOR MAPPING ARTIFICIAL INTELLIGENCE RESEARCH IN EDUCATION by Hanifah Indah Rahmawati, Zenita Sabitri, Mutiara Nabila Azmi, Danny Meirawan

“… This study critically analyzes the development of artificial intelligence (AI) research in education using a bibliometric approach, leveraging data from 191 Scopus-indexed documents during the 2015-2024 period. …”
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Spiking Residual ShuffleNet-Based Intrusion Detection in IoT Environment by Sneha Leela Jacob, H. Parveen Sultana

“…The input data is normalized using Z-score normalization (ZN). …”
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Learning analytics in immersive virtual learning environments: a systematic literature review by Lei Tao, Mutlu Cukurova, Yanjie Song

“…However, these areas remain unevenly explored; (2) research has predominantly examined desktop-based immersive VLEs, while fewer studies have explored immersive virtual reality settings such as head-mounted displaysand cave automatic virtual environments; (3) higher education students have been the most frequently studied participants, with fewer studies involving K-12 students and adult learners; (4) most studies have employed data-driven approaches to identify behavioural patterns, but explicit theoretical frameworks have been used less frequently to guide analysis and interpretation; (5) behaviour data remains the most commonly used data type; (6) statistical methods such as regression and ANOVA dominate the analytical approaches, with machine learning and deep learning techniques remaining underutilised; and (7) challenges including technical complexity, data interpretability, privacy concerns, and adoption barriers impact the effectiveness and scalability of LA applications in immersive VLEs. …”
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