Help-seeking is a central self-regulated learning (SRL) process; however, generic scaffolds often misalign with learners’ heterogeneous needs. This systematic review addresses the lack of consolidated...
In modern manufacturing, artificial intelligence and data analytics techniques are frequently used and developed for various industrial applications. The final purpose of the smart-factory problem is ...
Purpose: This systematic review evaluates the effectiveness of MYmind, a mindfulness-based intervention for Autistic youth (aged 8–23) and their parents. The review applies the neurodiversity paradig...
Objective To characterise knowledge, attitudes, and practices (KAP) regarding antibiotic use among Fulani women milk vendors in Sabon Gari and Zaria, Nigeria, within a One Health frameworkMethods A cr...
The growing prevalence of diabetes highlights the need for scalable, accurate, and privacy-conscious testing technologies. To train models, traditional machine learning (ML) techniques often rely on c...
The significance of financial literacy among women has gained increasing attention as a field of study due to its crucial importance in terms of economic welfare, empowerment, and economic independenc...
Climate mitigation pathways impose uneven burdens across income groups, yet analyses typically focus on revenue recycling rather than on how pathway architecture shapes distributional outcomes. We exa...
Efficient and reproducible production of mesenchymal stromal cell-derived extracellular vesicles (MSC-EVs) is essential for their therapeutic application. In this study, we investigated, for the first...
Aim: This pilot study explored the feasibility and preliminary effects of a home-based complex exercise programme compared with Pilates in breast cancer survivors with lymphoedema, delivered and asses...
Background & Aims: Posthepatectomy liver failure (PHLF) is a major cause of morbidity and mortality following liver resection. Accurate preoperative prediction of posthepatectomy liver failure (PHLF) ...
SinoXiv