Objective To examine whether a multicomponent commercial fitness app with very small (‘micro’) financial incentives (FI) ...

Researchers at National University of Singapore used multiple interpretable machine learning methods to predict traffic congestion in in Alameda ...

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 ...

The best send, in terms of defying the odds, took place on July 23, 2023, when Oscar Colás ranged in to retrieve a shallow ...

From satellite television’s promise of choice to today’s costly streaming platforms – finding something to watch has never ...

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 ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Research on the Influencing Factors and Configuration Paths of High-Quality Development of “Specialization, Refinement, ...

Our study assessed the impact of using Control-IQ technology, an automated insulin delivery system, on achievement of a Healthcare Effectiveness Data and Information Set (HEDIS) quality measure ...