Intrinsic neural attractors and extrinsic environmental inputs jointly steer the dynamic trajectories of brain activity ...

Objectives This study examined discharge outcomes and their predictors among patients enrolled in remote patient monitoring (RPM) support in Ontario, Canada. Design A 6-month competing risk survival ...

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

Can deep learning catch chronic illness before symptoms show? This article explores how time-aware neural networks are reshaping early detection and care planning for conditions like diabetes and COPD ...

Time-dependent driving has become a powerful tool for creating novel nonequilibrium phases such as discrete time crystals and ...

Disrupting left superior frontal sulcus selectively impaired perceptual but not value-based decisions, revealing segregated ...

Safety Leadership, Worker Behaviour, Safety Performance, Integrative Model, Ghanaian Construction Industry Share and Cite: ...

LEADING EDGE MATERIALS’ PROGRESS UPDATE ON ROMANIAN EXPLORATION PROJECT2025 exploration campaign identifies significant areas of mineralisation ...

This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...

LEADING EDGE MATERIALS' PROGRESS UPDATE ON ROMANIAN EXPLORATION PROJECT 2025 exploration campaign identifies significant areas of mineralisation underground in Valea Leucii, Dibarz and Avram Iancu, an ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Objectives Maternal dietary practices are vital for improving maternal and neonatal outcomes. However, comprehensive ...