Coupling Fault Diagnosis of Bearings Based on Hypergraph Neural Network.

Coupling faults that simultaneously occur during the operation of mechanical equipment are widespread. These faults encompass a diverse range of high-order coupling relationships, involving multiple base fault types. Based on the advantages of hypergraphs for higher-order relationship descriptions, two coupling fault diagnosis architectures based on the hypergraph neural network are proposed in this paper: 1.

Coupling Fault Diagnosis Based on Dynamic Vertex Interpretable Graph Neural Network.

Mechanical equipment is composed of several parts, and the interaction between parts exists throughout the whole life cycle, leading to the widespread phenomenon of fault coupling. The diagnosis of independent faults cannot meet the requirements of the health management of mechanical equipment under actual working conditions. In this paper, the dynamic vertex interpretable graph neural network (DIGNN) is proposed to solve the problem of coupling fault diagnosis, in which dynamic vertices are defined in the data topology.

Fault Knowledge Graph Construction and Platform Development for Aircraft PHM.

To tackle the problems of over-reliance on traditional experience, poor troubleshooting robustness, and slow response by maintenance personnel to changes in faults in the current aircraft health management field, this paper proposes the use of a knowledge graph. The knowledge graph represents troubleshooting in a new way. The aim of the knowledge graph is to improve the correlation between fault data by representing experience.

Scopoletin protects retinal ganglion cells 5 from high glucose-induced injury in a cellular model of diabetic retinopathy via ROS-dependent p38 and JNK signaling cascade.

The protective activity of scopoletin (SPT) against glucose-induced cataract has been attributed to attenuation of aldose reductase activity and oxidative stress in a rat model. The present investigation was aimed to study the protective effect and mechanism of SPT in retinal ganglia cells (RGC) under oxidative stress and apoptosis induced by hyperglycemia. The RGC-5 cells were pre-conditioned with variable SPT concentrations for 6 hours and then subjected to hyperglycemia for 48 hours.

MiR-27b Impairs Adipocyte Differentiation of Human Adipose Tissue-Derived Mesenchymal Stem Cells by Targeting LPL.

Background/aims: In this study, the molecular mechanisms of miR-27b and lipoprotein lipase (LPL) that regulate human adipose-derived mesenchymal stem cells (hASCs) adipogenic differentiation were detected.

Methods: Microarray analysis was applied to screen for differentially expressed miRNAs and mRNA during hASCs adipocyte differentiation induction. MiR-27b and LPL were found to have abnormal expression.