Zhejiang University-University of Edinburgh Institute

An electromagnetic random field theoretic framework for capacity analysis of fluctuating communication channels

Abstract We propose a numerical method grounded in electromagnetic random field theory (EM-RFT) for characterizing and modeling random fields in electromagnetics, with future applications to information transmission and processing. By combining EM Green’s functions with the Karhu...

A canonical role of SMAD4 in safeguarding 3D genome architecture to suppress lung tumorigenesis

Dysregulation of three-dimensional (3D) genome architecture is a hallmark of cancer, yet the mechanisms by which its disruption drives tumorigenesis remain incompletely understood. Here, we demonstrated that SMAD4 regulated 3D genome organization through its canonical transcripti...

Knowledge graph-enhanced large language models toward reliable elevator fault diagnosis

The operational reliability of elevator systems is critical for the safety and efficiency of modern urban infrastructure. While large language models have demonstrated exceptional reasoning capabilities, their application to specialized industrial maintenance tasks is constrained...

Estimated glucose disposal rate and incident cardiovascular disease across ageing cohorts in China, England, and the United States: cross-national consistency and transportability

The estimated glucose disposal rate (eGDR), an insulin-resistance surrogate derived from routine clinical variables, has been associated with cardiovascular disease (CVD). We examined its association with incident CVD, cross-national transportability, and incremental discriminati...

OccPepSeg-YOLO for Instance Segmentation of Occluded Peppers in Field Images

Agricultural operations such as pepper harvesting, fruit counting, and field phenotyping rely on accurate visual recognition and instance segmentation algorithms. However, pepper fruits in complex field environments often exhibit slender and curved shapes, partial occlusion, ambi...

Metabolic-pathway-based classification of tendinopathy reveals a precise therapeutic strategy targeting chondro-modulatory tenocytes

Abstract Tendinopathy is a prevalent degenerative condition driven by complex metabolic dysregulation, yet its inherent metabolic heterogeneity remains poorly characterized, hindering targeted therapeutic development. To address this, we performed systematic multi-omics profiling...

Narrowband Hydrocarbon Emitters Enabled by Stereo‐Locked Through‐Space Interactions

ABSTRACT High‐purity emitters with a narrowband emission are a critical requirement for next‐generation displays and lighting, yet it remains a formidable challenge for purely organic materials, particularly in the pure‐violet region. Herein, a general molecular design strategy b...

Narrowband Hydrocarbon Emitters Enabled by Stereo‐Locked Through‐Space Interactions

ABSTRACT High‐purity emitters with a narrowband emission are a critical requirement for next‐generation displays and lighting, yet it remains a formidable challenge for purely organic materials, particularly in the pure‐violet region. Herein, a general molecular design strategy b...

Machine Learning-Guided Stress Atlases Reveal Co-Expression Rewiring and Divergent Cellular Deployment of Abiotic Stress Programs in Rice and Wheat

Abiotic stress limits cereal productivity, yet whether conserved stress-responsive genes retain similar transcriptional network organization and cellular deployment across cereal species remains unknown. Here, we developed a machine learning-guided comparative framework to integr...