Taiwo Feyijimi stands at a rare crossroads where advanced artificial intelligence, engineering education, and human learning converge. As a doctoral candidate in Engineering Education Transformations ...

Objectives To explore the patient and informal-carer reported factors that influence prescribing decisions in the management of borderline personality disorder (BPD). Design The study employed a ...

Aim This study aims to identify key determinants and strategies for effectively implementing a reflection method to support adequate use of the ‘Informal Care’ guideline within community nursing. The ...

Introduction Female sex workers (FSWs) in sub-Saharan Africa are at higher risk of HIV acquisition and transmission. However, ...

Abstract: Graph representation learning (GRL) has become a new learning paradigm, supporting a wide range of tasks such as node classification, link prediction, and graph classification. However, the ...

The future of VC does not belong solely to instinct-driven operators or strictly data-driven analysts but to the hybrid ...

Abstract: In many contemporary decision-making environments, practitioners must navigate complex problems characterized by multiple, conflicting criteria. Multi-Criteria Decision Analysis (MCDA) ...

This scoping review deals with a major trend in qualitative data analysis: thematic analysis (TA) that provides a general framework to develop relatively transparent processes; TA thus helps mitigate ...

Generative large language models (LLMs), such as ChatGPT, have significant potential for qualitative data analysis. This paper aims to provide an early insight into how LLMs can enhance the efficiency ...