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

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

A primary aim of computational psychiatry is to establish predictive models linking individual
differences in brain functioning with symptoms. In particular, cognitive impairments are …

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

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

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

This study introduces an innovative framework designed to forecast the fluctuating short-
term generation of photovoltaic (PV) energy in isolated microgrids. The framework relies …

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

A primary aim of precision psychiatry is the establishment of predictive models linking
individual differences in brain functioning with clinical symptoms. In particular, cognitive …

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 …