The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

A research team demonstrates that hyperspectral sensing, combined with advanced artificial intelligence, can accurately estimate multiple biochemical and mineral traits in grapevine leaves at once.

Researchers at Shanghai University have developed a physics-constrained, data-efficient artificial intelligence framework ...

According to the findings, older adults who reported a high tinnitus burden were seven times more likely to experience ...

Discover the leading mobile application testing tools for DevOps teams in 2025, aimed at enhancing performance, stability, and agile release cycles for businesses worldwide.

An agentic AI-based approach to end-to-end bug resolution using both error logs and waveforms.

The GC–MS dataset was integrated with the sensory data using a series of exploratory and predictive multivariate statistical ...

This study provides important evidence that negative affect is associated with slower cognitive processing in daily life, with findings replicated across three independent samples and supported by ...

Background Up to half of patients with infective endocarditis (IE) require cardiac surgery. Although anaemia is common, its precise prevalence, transfusion practices and impact on outcomes in ...

Objectives This study aimed to identify the predictors of burnout, anxiety and depression among healthcare professionals during the COVID-19 pandemic. Design A secondary quantitative analysis of data ...

Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...