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 ...

Objectives To examine associations between The Daily Mile, a school-based active mile intervention, and pupils’ physical ...

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

This is an important contribution that largely confirms prior evidence that word recognition - a cornerstone of development - improves across early childhood and is related to vocabulary growth. This ...

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

Objective Anxiety affects up to one-third of adults with asthma and is linked to poorer disease outcomes and reduced quality ...

Plenty of high earners are not founders, influencers, or coders but people in routine, rules-driven roles that quietly keep ...

Success within the National Disability Insurance Scheme often receives praise through quick results. Many providers celebrate immediate achievements ...

Nic Johnson on Melinda Cooper, Counterrevolution. Neoliberalism as programme to head off the radical potential of the ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in ...

Earth system box models are essential tools for reconstructing long-term climatic and environmental evolution and uncovering ...

A Case Study on How Brand Equity and Service Quality Shape Revisit Intention in Luxury Hospitality The hospitality industry is rapidly evolving through digital transformation, giving rise to hybrid ...