This study presents a phase-field crystal model that simulates AB-BA transitions in bilayer graphene, highlighting defect ...

Multi-agent collaboration represents a transformational shift from building smarter models to building smarter networks. It’s ...

Educational equity is fundamental to global development, promoting social mobility and economic advancement (Jurado de los Santos et al., 2020). Education systems often mirror and worsen existing ...

Electrostatic interactions are fundamental to the structure, dynamics, and function of biomolecules, with broad applications in protein–ligand binding, enzymatic catalysis, and nucleic acid regulation ...

Abstract: Objective: Graph-based methods using resting-state functional magnetic resonance imaging demonstrate strong capabilities in modeling brain networks. However, existing graph-based methods ...

Drug–drug interactions (DDIs) present a significant challenge in clinical practice, as they may lead to adverse reactions, diminished therapeutic efficacy, and serious risks to patient safety. However ...

Something unusual happened in the world of AI image editing recently. A new model, known as “nano banana,” started making the rounds with impressive abilities that landed it at the top of the LMArena ...

This study examines the application of information criteria in the selection of multilevel structural equation models (MSEM), analyzing different estimation methods (ULS, GLS, and ML) and statistical ...

Introduction: While imagery practice is effective for performance enhancement, its impact on mental health is inconclusive due to mixed findings and heterogeneous athlete populations. This study aims ...

In modern drug discovery, generative molecular design models have greatly expanded the chemical space available to researchers, enabling rapid exploration of new compounds. Yet, a major challenge ...