Background We investigated the prevalence, temporal trends and associated factors of overweight and obesity among adults in ...

Objective: We aimed to develop, validate, and assess NeuroBot, an AI-driven system that uses large language models (LLMs) with retrieval-augmented generation to deliver timely, accurate, and ...

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

By modeling the single-trial electroencephalogram of participants performing perceptual decisions, and building on predictions from two century-old psychological laws, we estimate the times of ...

Abstract: This study proposes a novel distributed model predictive control (DMPC) approach for mixed vehicle platoons (MVPs), which achieves driving safety, asymptotic stability, and traffic wave ...

Abstract: This paper presents a robust variational Bayesian (VB) method for identifying linear state space models (LSSM) with non-Gaussian observational noise. Appropriate prior information is ...