Relating individual brain patterns to behaviour is fundamental in system neuroscience.
Recently, the predictive modelling approach has become increasingly popular, largely due …

Background Individual differences in functional brain connectivity can be used to predict
both the presence of psychiatric illness and variability in associated behaviors. However …

A pervasive dilemma in neuroimaging is whether to prioritize sample size or scan duration
given fixed resources. Here, we systematically investigate this trade-off in the context of …

Porous electrode materials provide a large surface area for electrochemical reactions and
facilitate ion transport efficiently. By optimizing the design and properties of porous …

The glass-forming ability (GFA) is essential to developing and broadly applying metallic
glasses. However, existing research rarely considers the imbalance of GFA data, which …

Background The rate of geriatric hip fracture in Hong Kong is increasing steadily and
associated mortality in fragility fracture is high. Moreover, fragility fracture patients increase …

Abstract Machine learning algorithms are increasingly being utilized to identify brain
connectivity biomarkers linked to behavioral and clinical outcomes. However, research often …

Perovskite solar cells (PSCs) have garnered significant attention owing to their highly power
conversion efficiency (PCE) and cost-effectiveness. Traditionally, screening for PSCs with …

Sex and gender are associated with human behavior throughout the lifespan and across
health and disease, but whether they are associated with similar or distinct neural …

Resting-state functional connectivity (RSFC) is widely used to predict phenotypic traits in
individuals. Large sample sizes can significantly improve prediction accuracies. However …