Distributed fiber-optic sensors are widely used to monitor temperature and strain in infrastructure, but their spatial ...

Researchers have developed a dynamic range compression dual-domain attention network for enhancing tunnel images under extreme exposure conditions, a problem that continues to challenge transportation ...

Abstract: Hyperspectral image super-resolution using deep learning has achieved remarkable results. However, most of methods are developed in the spatial domain and rarely explore solutions in the ...

Lymph nodes are key sites of adaptive immune responses, yet how immune cells coordinate their activities in space and time remains poorly understood. We combined high-resolution spatial ...

Experiments were executed on NVIDIA A40 of 46068MiB memory in linux with torch==2.1.0+cu121, torch_geometric==2.3.1, torch-sparse==0.6.18+pt21cu121, and torchvision==0.16.0+cu121. The stkan is an ...

ABSTRACT: With super high-rise buildings developing towards characteristics of low damping, light weight, and high flexibility, their wind-induced vibration and aeroelastic effects have become key ...

Brain-computer interfaces (BCIs) are advanced and innovative systems that enable direct communication between humans and external devices by utilizing data encoded in the brain activity (Shi et al., ...

Glioblastoma (GBM) exhibits marked plasticity and intense microenvironmental crosstalk. We aimed to delineate mesenchymal programs with spatial resolution, clinical relevance, and mechanistic anchors.

Single-cell RNA transcriptomics allows researchers to broadly profile the gene expression of individual cells in a particular tissue. This technique has allowed researchers to identify new subsets of ...