Machine learning algorithms help computers analyse large datasets and make accurate predictions automatically.Classic models like regression, dec ...

Abenwi, J. (2026) Odds, Ends, and Empty Wallets: The Rise of Sports Betting in Cameroon and the Hidden Costs for Low-Income Families. Modern Economy, 17, 531-542. doi: 10.4236/me.2026.173028 .

Objectives Declining physical fitness, rising obesity and mental and behavioural diagnoses are growing public health issues in young adults. This study aimed to examine the associations between ...

Researchers used five prospective cohorts from the US and China to identify circulating gut microbiota-related metabolites ...

Detecting behavioural signatures of depression from everyday digital traces is a central challenge in computational psychiatry. Real-world datasets from smartphones and wearables often suffer from ...

Background Endovascular therapy (EVT) is standard treatment for large vessel occlusion in patients with a National Institutes ...

Evidence is provided suggesting that aggregate neural activity at an early stage of visual processing (V1) can directly contribute to perceptual decisions in humans.

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 ...

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, ...

A study finds SC use is concentrated among a small number of surgeons and hospitals. Authors say it should be saved for clear-cut cases because it can harm patients.

Introduction Glucose is a major determinant of fetal growth, but its relative contribution in different ethnic groups or populations is not fully understood. The Hyperglycaemia and Adverse Pregnancy ...