BMJ Global Health

Medical specialists in LMICs: a systematic review and best-fit framework synthesis of the evidence on their roles and contribution to health systems

Background Medical specialists are integral to the medical workforce and play a pivotal role in referral systems. However, in ...
Labmate Online

A sample-guided approach enhances accuracy in computational fluorescence microscopy

Researchers have reported a sample-prior-based approach to point spread function decoupling that improves system ...
Scientific Research Publishing

Symbiotic Communication Systems: Examining the Co-Evolution of Human-AI Communication Patterns in the Digital Age ()

Nkembuh, N. (2026) Symbiotic Communication Systems: Examining the Co-Evolution of Human-AI Communication Patterns in the ...

Behind nature's blueprints: Physicists create 'theoretical rulebook' of self-assembly

Inspired by biological systems, materials scientists have long sought to harness self-assembly to build nanomaterials. The ...

DGrid Launches First Web3 Decentralized Gateway Aggregation for AI Inference

DGrid, a next-generation decentralized AI infrastructure, today announced its official launch in 2026, introducing a ...
eLife

A differentiable model for optimizing the genetic drivers of synaptogenesis

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
Scientific Research Publishing

Artificial Intelligence Acceptance of High School English Teachers and Its Influencing Factors

Tian, Y. (2025) Artificial Intelligence Acceptance of High School English Teachers and Its Influencing Factors —Mixed Research Based on the UNESCO Framework for Teachers’ AI Competence. Open Journal ...
IEEE

Self-Correcting-Guided Generalized Contrastive Learning Framework for Small-Sample PV Fault Diagnosis With Cloud-Edge Collaboration

Abstract: Intelligent fault diagnosis of photovoltaic (PV) arrays in small-sample scenarios remains challenging due to poor model accuracy and generalization. Existing methods fail to simultaneously ...
IEEE

A Deep Learning-Based SAR Imaging Framework for Ship Targets With Sample-Wise Variant Motion

Abstract: Obtaining the clear contours of ship targets via synthetic aperture radar (SAR) is extremely valuable for monitoring the sea. Now there are many deep learning imaging methods for ground ...