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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Community PrEP delivery for adolescent girls and young women: insights from the DREAMS PrEP Choice Study in Johannesburg, South Africa by Nicolette Prea Naidoo, Nqaba Mthimkulu, Ngcwalisa Jama, Glory Chidumwa, Brison Chabalala, Tafadza Mhakakora, Lauren Parmley, Saiqa Mullick

“…Quantitative data are presented descriptively whilst qualitative data were analyzed using content and thematic analyses.ResultsBetween October 2023 and April 2024, 657 participants were enrolled and offered PrEP choice. …”
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Research participants' perception of ethical issues in stroke genomics and neurobiobanking research in Africa. by Ayodele Jegede, Olubukola Balogun, Olorunyomi Felix Olorunsogbon, Michelle Nichols, Joshua Akinyemi, Carolyn Jenkins, Mayowa Ogunronbi, Arti Singh, Reginald Obiako, Kolawole Wahab, Abiodun Bello, Albert Akpalu, Fred S Sarfo, Lukman F Owolabi, Babatunde Ojebuyi, Muyiwa Adigun, Dorcas Olujobi, Rabiu Musbahu, Musibau Titiloye, Ibukun Afolami, Benedict Calys-Tagoe, Ezinne Uvere, Ruth Laryea, Adekunle Fakunle, Osi Adeleye, Deborah Adesina, Nathaniel Mensah, Wisdom Oguike, Nathaniel Coleman, Sunday Adeniyi, Lanre Omotoso, Shadrack Asibey, Lois Melikam, Jibril Yusuf, Abdullateef Gbenga, Aliyu Mande, Muhammed Uthman, Rajesh N Kalaria, Mayowa Owolabi, Bruce Ovbiagele, Oyedunni Arulogun, Rufus O Akinyemi

“…These raise several ethical issues, such as consent, re-use, data sharing, storage, and incidental result of biological samples. …”
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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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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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Examining Healthcare Practitioners’ Perceptions of Virtual Physicians, mHealth Applications, and Barriers to Adoption: Insights for Improving Patient Care and Digital Health... by Alzghaibi H

“…It further aims to provide recommendations for enhancing usability, accessibility, and integration within existing healthcare infrastructures.Methods: A cross-sectional study was conducted among 574 secondary healthcare practitioners (SHCPs), including physicians, nurses, and administrative staff, working in secondary healthcare centres across Saudi Arabia. Data were collected using a structured questionnaire assessing ten primary barriers to mHealth adoption, including technical, usability, training, integration, privacy, organisational, communication, financial, and productivity-related challenges. …”
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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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A review of machine learning and deep learning for Parkinson’s disease detection by Hajar Rabie, Moulay A. Akhloufi

“…However, challenges like the need for large and diverse datasets, data privacy concerns, and data quality in healthcare remain. …”
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Multi-key fully homomorphic encryption scheme based on NTRU bootstrapping by ZHENG Junhua, JIANG Hongwei, LIU Rong, LI Yixiu, LI Wen, WENG Jian

“…Finally, the potential application of the scheme in cross-departmental supervision scenarios of multi-industry and multi-source data sales data was explored, which helped the tax department to realize tax verification under the premise of protecting data privacy, and helped promote the digital transformation and healthy development of various industries.…”
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Source-Free Domain Adaptation for Cross-Modality Abdominal Multi-Organ Segmentation Challenges by Xiyu Zhang, Xu Chen, Yang Wang, Dongliang Liu, Yifeng Hong

“…While unsupervised domain adaptation (UDA) has shown promise in addressing these issues by transferring knowledge from a different modality (source domain), its reliance on both source and target data during training presents a practical challenge in many clinical settings due to data privacy concerns. …”
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SensorsConnect Framework: World-Wide Web for Internet of Things by Abdelrahman Elewah, Khalid Elgazzar

“…Unlike humans, IoT devices lack a unified framework like the WWW for collaboration and data sharing. This is primarily due to 1) separate infrastructure often required for IoT security and privacy and 2) challenges of limited connectivity, device heterogeneity, and evolving technology. …”
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