A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

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 ...

By training statistical and machine-learning models to predict expert visual scores, the study demonstrates that phenomics can match or outperform ...

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 ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

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

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

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

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient ...

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

Transverse tubules (T-tubules) play a significant role in muscle contraction. However, the underlying mechanism of their ...