Scientists at the European Centre for Medium-Range Weather Forecasts have unveiled a machine learning technique that pinpoints optimal locations for ...

Background A regional trial indicated that implementing at-risk asthma registers in primary care could reduce hospital ...

Visualization, Dimensionality Reduction, Reproducibility, Stability, Multivariate Quantum Data, Information Retrieval ...

This research introduces a multi-resolution exploration method, enhancing robotic navigation efficiency and adaptability in ...

The global rise in the prevalence of obesity highlights the need for accessible and effective solutions for obesity ...

The dorsal raphe nucleus (DRN) serotonergic (5-HT) system has been implicated in regulating sleep and motor control; however, its specific role remains controversial. In this study, we found that ...

High blood pressure is the main modifiable risk factor for preventing cardiovascular events in people who have had a stroke or transient ischaemic attack; however, only approximately one in three ...

Abstract: Real-time multi-agent internet data transmission enhances the service capabilities of diverse applications, however, it poses a risk of sensitive location information being compromised. This ...

This study investigated heterogeneous subtypes of non-suicidal self-injury (NSSI) among college students and examined the psychosocial predictors of high-risk profiles to guide precision interventions ...

Abstract: This note makes the first attempt to investigate the optimal bipartite consensus problem in the general cas e for heterogeneous multiagent systems with cooperative–competitive interactions, ...

Background Allostatic load (AL) is the physiological burden of stress, and it is suggested to be a mediator between ...

Catheter ablation has been shown to improve prognosis in patients with heart failure (HF) and atrial fibrillation (AF); however, the optimal ablation strategy remains undefined. In this multicenter, ...