Digital Empowerment in Social Work: Leveraging AI to Enhance Educational Access in Developing Nations by Zvinodashe Revesai, Benjamin Tungwa, Telson Anesu Chisosa, Vanessa Runyararo Meki

“…Data were analyzed using thematic analysis, examining cases and models where AI has expanded access to scholarly materials through automated translation services, enabled localized resources through virtual training simulations, and facilitated the incorporation of culturally aligned self-help tools such as AI chatbots and wellness applications. …”
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Preparing future educators for AI-enhanced classrooms: Insights into AI literacy and integration by Lucas Kohnke, Di Zou, Amy Wanyu Ou, Michelle Mingyue Gu

“…We conducted semi-structured interviews with 15 pre-service teachers and used thematic analysis to interpret the data. Our findings revealed that these future educators recognised AI's potential to enhance personalised learning and increase classroom efficiency but worried about relying on AI too much and losing the human element in teaching. …”
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Artificial intelligence in personalized rehabilitation: current applications and a SWOT analysis by Elpidio Attoh-Mensah, Arnaud Boujut, Arnaud Boujut, Mikaël Desmons, Anaick Perrochon

“…Additionally, threats such as data privacy breaches and security vulnerabilities emphasize the need for robust, balanced regulatory frameworks. …”
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Designing digital conversational agents for youth with multiple mental health conditions: Insights on key features from a youth-engaged qualitative descriptive study by Jingyi Hou, Jamie Gibson, Thalia Phi, Brian Ritchie, Louise Gallagher, Gillian Strudwick, George Foussias, Darren B Courtney, Aristotle Voineskos, Stephanie Ameis, Kristin Cleverley, Lisa D Hawke

“…Results Four key themes were generated from the focus group data: (1) the importance of a customizable and flexible design for personalization; (2) confidentiality, privacy features and risk mitigation features; (3) the need for reliable, informative content that is user tested and validated; (4) a friendly and human-like interaction style. …”
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Pain expression and intercultural identity: a comparison between English and Persian among EFL learners by Hakimeh Abedini

“…Persian was often used for its emotionally resonant and metaphor-rich expressions, reflecting the cultural and historical depth of the language. …”
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De-identification of Emergency Medical Records in French: Survey and Comparison of State-of-the-Art Automated Systems by Loick Bourdois, Marta Avalos, Gabrielle Chenais, Frantz Thiessard, Philippe Revel, Cedric Gil-Jardine, Emmanuel Lagarde

“…For visits motivated by a traumatic event, information on the causes are stored in free-text clinical notes. To exploit these data, an automated de-identification system guaranteeing protection of privacy is required. …”
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Teaching postsecondary students about the ethics of artificial intelligence: A scoping review protocol. by Calvin Hillis, Maushumi Bhattacharjee, Batool AlMousawi, Tarik Eltanahy, Sara Ono, Marcus Hui, Ba' Pham, Michelle Swab, Gordon V Cormack, Maura R Grossman, Ebrahim Bagheri, Zack Marshall

“…The field of AI carries inherent risks such as algorithmic biases, security vulnerabilities, and ethical concerns related to privacy and data protection. Despite these risks, AI holds significant promise for social good, with applications ranging from improved healthcare diagnostics to enhanced education strategies. …”
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Blockchain-Based Incentive Mechanism for Electronic Medical Record Sharing Platform: An Evolutionary Game Approach by Dexin Zhu, Yuanbo Li, Zhiqiang Zhou, Zilong Zhao, Lingze Kong, Jianan Wu, Jian Zhao, Jun Zheng

“…This system considers the potential malicious behaviors of both users and research institutions, encouraging research institutions to protect users’ privacy, reduce users’ concerns, and guide users to actively contribute data. …”
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A Biologically Inspired Trust Model for Open Multi-Agent Systems That Is Resilient to Rapid Performance Fluctuations by Zoi Lygizou, Dimitris Kalles

“…However, existing trust models face challenges such as agent mobility, which causes agents to lose accumulated trust when moving across networks; changing behaviors, where previously reliable agents may degrade over time; and the cold start problem, which hinders the evaluation of newly introduced agents due to a lack of prior data. To address these issues, we introduced a biologically inspired trust model in which trustees assess their own capabilities and store trust data locally. …”
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The Role of Artificial Intelligence in Boosting Cybersecurity and Trusted Embedded Systems Performance: A Systematic Review on Current and Future Trends by Ahmed Oun, Kaden Wince, Xiangyi Cheng

“…The key findings of our review indicate that AI significantly enhances security measures by enabling capabilities such as detection, classification, feature selection, data privacy preservation, model combination, data generation, output interpretation, optimization, and adaptation. …”
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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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Empowerment in structures. Practical-ethical considerations of the preconditions for technology-assisted dementia care in Germany based on an expert-interview study by Johannes Welsch, Silke Schicktanz

“…Thematic content analysis was used to analyze the data.FindingsThe experts’ assessments of the current preconditions for TADC in Germany were starkly ambivalent. …”
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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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A review of machine learning and internet-of-things on the water quality assessment: Methods, applications and future trends by Gangani Dharmarathne, A.M.S.R. Abekoon, Madhusha Bogahawaththa, Janaka Alawatugoda, D.P.P. Meddage

“…While IoT significantly improves real-time contamination detection, persistent challenges remain in sensor fouling, data continuity, data privacy, network reliability, and cybersecurity. …”
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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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Pengaruh E-Payment Trust terhadap Minat Transaksi pada E-Marketplace Menggunakan Framework Technology Acceptance Model (TAM) 3 by Merryana Lestari, Hindriyanto Dwi Purnomo, Irwan Sembiring

“…Often users have their own concerns in making payment transactions using e-Payment, one of the most basic concerns is about guaranteeing data security integrity and customer data privacy. …”
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