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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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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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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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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Providers' perceptions of implementing standardized postpartum family planning: a qualitative study of midwives and nurses in GhanaAJOG Global Reports at a Glance by Sarita Sonalkar, Ernest Maya, Chris Guure, Arden McAllister, Dzifa Adimle Puplampu, Roseline Dansowaa Doe, Mary Eluned Gaffield, James Kiarie

“…We interpreted data using thematic analysis. Results: Providers indicated that use of one-on-one counseling and the mobile application in hospital-based postpartum care delivery was acceptable, feasible, and appropriate. …”
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It's not just about pads! Adolescent reproductive health views in Kenya: A qualitative secondary analysis. by Sylvia Ayieko, Angela Nguku, Nancy Kidula

“…We used pre-existing codes and current literature to design the coding framework and thematic analysis to describe emerging themes. …”
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Porter Diamond Model and Internationalization of Fintechs by Nahidah Naser

“…However, due to the lack of transparency data gathering, supervisions and regulations of Fintechs, policies, privacy, cybercrimes, the impact of Fintechs on the financial market and economic stability are yet to be thoroughly examined and evaluated. …”
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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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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

“…These feature vectors are then processed using lightweight cryptographic primitives, including ECDSA, to enable secure authentication without exposing the original CRP. …”
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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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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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Navigating digital frontiers in UAE healthcare: A qualitative exploration of healthcare professionals' and patients' experiences with AI and telemedicine. by Azza Alkaabi, Deena Elsori

“…The results highlight the need to address such limitations, adequately train healthcare professionals, and enhance data privacy. The study also lays a foundation for further research into contextual challenges hindering the effective adoption and implementation of AI and telemedicine in different healthcare settings in order to develop a generic, context-specific framework that will guide the adoption of such emerging technologies in the global healthcare industry.…”
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From Neural Networks to Emotional Networks: A Systematic Review of EEG-Based Emotion Recognition in Cognitive Neuroscience and Real-World Applications by Evgenia Gkintoni, Anthimos Aroutzidis, Hera Antonopoulou, Constantinos Halkiopoulos

“…Further, related ethical issues with respect to privacy, data security, and machine learning model biases need to be much more proclaimed to responsibly apply research on emotions to areas such as healthcare, human–computer interaction, and marketing. …”
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Interior design assistant algorithm based on indoor scene analysis by Lu Zhang

“…The proposed indoor scene analysis algorithm using color images as privileged information significantly improves the accuracy of indoor scene analysis and reduces reliance on manually annotated data. …”
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Enhancing insights in sexually transmitted infection mapping: Syphilis in Forsyth County, North Carolina, a case study. by Lani Fox, William C Miller, Dionne Gesink, Irene Doherty, Marc Serre

“…Results were assessed using latent rate theory cross validation. We show combining a moving window and a UMBME analysis with geomasked data effectively predicted the true or latent syphilis rate 5% to 26% more accurate than the traditional, geopolitical boundary method. …”
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