If the model is sound, the similarities between the model and behavioral data suggest how complex behavioral motifs can emerge from a simple neural circuit. These results will be of interest to ...

This valuable study demonstrates how individual taste preferences shift over time, how these changes relate to cortical activity, and how experience reshapes both. The evidence is largely solid, ...

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...

A new study of German twins suggests that the strong connection between a young adult's cognitive ability and their future ...

Recent research from across the world has found that stigma towards people with mental health diagnoses is either increasing ...

Objective To assess the nutritional status and identify associated factors among children under 5 years residing in Ward 10 of Bhimdatta Municipality, Kanchanpur District, Sudurpashchim Province, ...

ESET researchers document how the Sednit APT group has reemerged with a modern toolkit centered on two paired implants – BeardShell and Covenant.

Farming is changing from manual, experience-led observation to data-driven decision-making powered by advanced sensing systems and artificial intelligence. A new research paper titled “Fast Forward ...

A machine learning-driven framework accurately predicts MPA exposure and supports individualized dosing in childhood-onset LN.

The distribution of buoys to measure ocean surface temperature ( The ocean surface is a key feature to study to understand the air-sea interactions. These interactions, in turn, are crucial in ...

Yield loss is increasingly driven by molecular variability in thin films, interfaces, and contamination rather than visible defects. Reliability issues often appear first as parametric drift or margin ...