Shenyang Ligong University

Extracellular Vesicles: Emerging Players in Tumor Progression, Diagnosis, and Therapeutic Applications

Abstract Extracellular vesicles (EVs) are emerging as critical players in oncology and also exert vital regulatory effects on exercise-induced muscle injury repair, offering novel insights into tumor biology. Tumor-derived EVs facilitate intercellular communication by carrying bi...

Stochastic Resonance in a Small-World Network of Rulkov Neurons with Electrical and Chemical Synapses Under an Alternating Electric Field and Synaptic Transmission Delay

Biological neural systems can use moderate noise to enhance their responses to weak stimuli, and this process is affected by synaptic transmission, network structure, transmission timing, and external electric fields. We constructed a Watts–Strogatz network of Rulkov neurons with...

Influence of the biomimetic textures inspired by Monstera deliciosa on the friction and wear of rolling bearings under starved lubrication

Purpose This study aims to evaluate the tribological performance of textured cylindrical roller thrust bearings under starved lubrication, with particular emphasis on the effects of various leaf-inspired textures, depths and their combinations. Design/methodology/approach Inspire...

In Situ Constructed Self-Supported MoS2/TiO2 Nanotube Electrodes for Enhanced Hydrogen Evolution

Developing efficient non-precious electrocatalysts for the hydrogen evolution reaction (HER) is crucial to advancing scalable green hydrogen generation. Herein, vertically aligned TiO2 nanotube arrays were directly grown on Ti substrates via electrochemical anodization and subseq...

A Deep Learning-Driven Binocular Vision Path Detection Approach for Orchard Robots

Autonomous driving relying on visual navigation plays a vital role in promoting automation within the jujube industry. Conventional visual navigation strategies fail to satisfy the demands of straddle-type jujube harvesters owing to their unique row-straddling configuration and c...

DAAF: Dual-stream adaptive attention fusion with distribution alignment for remote sensing object detection

Remote sensing object detection faces three challenges: extreme scale variation, arbitrary rotational orientations, and complex intermingled backgrounds. Although fusion of Convolutional Neural Networks (CNNs) and Transformers combines spatial precision with global modeling, it f...

Effect of graphite incorporation on the compressive strength and wear properties of polyurethane composites

Polyurethane-based composites (PUCs) are promising materials for stretch-forming dies used in aircraft skin components; however, their limited load-bearing capacity and insufficient wear resistance under severe conditions remain major challenges. In this work, graphite powder (GP...