Although gene expression in the brain has been extensively investigated and compared to other tissues, the activity of pseudogenes has not been comprehensively surveyed. Here, leveraging large-scale RNA-seq data, we construct consistent pseudogene expression profiles in human and macaque brains a...

Biomolecular function is often controlled by structural and dynamical adaptations to binding events. Although molecular dynamics (MD) simulations can capture these events at atomic resolution, separating functional signatures from stochastic noise remains challenging. Traditional methods often struggle to ...

Injury remains a persistent challenge in netball across all levels of participation, yet limitations in how injuries are defined, captured and described have constrained injury prevention efforts. To address these limitations, this thesis aimed to develop and apply robust methods...

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Diseases and healthcare concerns have become more prevalent in our society. As a result, more individuals are turning towards wearable technology as a way to keep track of their well-being. In addition, the introduction of the Internet of Medical Things will allow for continuous&#x...

Predicting how students will perform remains a central challenge in educational data mining and learning analytics. Anticipating difficulties early allows instructors to refine feedback and plan interventions to keep learners on track. Our study describes an AI driven framework for predicting...

Purpose: Patients in prolonged disorder of consciousness (PDOC) require complex care from a multi-disciplinary team. Delivering this holistic care can be demanding for healthcare professionals (HCP), and yet little is known of their experiences. This qualitative study was aiming to ex...

This theoretically-informed paper brings together the fields of education and humour studies to examine the complexities of humour in social interaction and relationships in school classrooms. We address the lack of understanding of humour in the classroom, and the nuances of education ...

The transient time correlation function (TTCF) method has emerged as a powerful methodology for accurately probing systems at low shear rates. In the present study, TTCF was used to evaluate the shear rate dependence of the slip length in a high-slip system consisting of water...