Aimed at the problems existing in the present Red Green Blue-Depth (RGB-D) three-dimensional
(3D) reconstruction algorithms in the unbounded extension area, such as low accuracy…

At present, the three-dimensional (3D) reconstruction system is based on hand-held camera
which causes certain problems, such as needing for a large number of human-computer …

Large Language Models (LLMs) have become integral to numerous domains, significantly
advancing applications in data management, mining, and analysis. Their profound …

As the predominant immunosuppressive component within the tumor microenvironment (TME),
cancer-associated fibroblasts (CAFs) inhibit Natural Killer cell (NK cell) activity to …

Hyperspectral image super-resolution has been extensively studied, and significant
development has been made based on deep convolutional neural networks (CNNs). Particularly, …

Endothelins and their receptors, ET A and ET B , play vital roles in maintaining vascular
homeostasis. Therapeutically targeting endothelin receptors, particularly through ET A …

Federated Learning (FL) is an evolving paradigm that enables multiple parties to collaboratively
train models without sharing raw data. Among its variants, Vertical Federated Learning (…

Acquired resistance to tyrosine kinase inhibitors (TKIs) is the major obstacle to improve clinical
efficacy in cancer patients. The epithelial-stromal interaction in tumor microenvironment …

The mechanical microenvironment regulated by cancer-associated fibroblasts (CAFs) influence
tumor progression. Chemotherapeutic interventions including 5-Fluorouracil (5-Fu) are …

Background In public health emergencies, nurses are vulnerable to adverse reactions,
especially job burnout. It is critical to identify nurses at risk of burnout early and implement …