Choosing between qualitative, quantitative, or mixed methods can shape the direction and success of your doctoral research. Understanding each approach’s strengths, limitations, and alignment with ...

Interactive systems should not only model user behaviour. They should also model the reliability of their own interpretations ...

Self-Employment, TVET Graduates, Graduate Employability, Industry-Based Training, Entrepreneurial Skills Haftimer, H.A. and Dong, G. (2026) Challenges and Opportunities of Self-Employment among TVET ...

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

A national survey of 145 registered dietitians found wide variation in how the low FODMAP diet’s reintroduction phase is ...

It also plays a key role in understanding how intelligent AI is, preventing the misallocation of resources, and guiding ...

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...

Background The use of artificial chords for mitral valve prolapse during minimally invasive mitral valve repair (MIMVR) has ...

Objectives Over the last decade, a growing number of health interventions (eg, medical assistance in dying and mitochondrial ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Objectives In the USA, an estimated 40–50 million operations are performed annually, with high rates of adverse events. Since the 1980s, report cards have been used for outcome measures and to improve ...

Background A regional trial indicated that implementing at-risk asthma registers in primary care could reduce hospital ...