Dynamic graph convolutional network for assembly behavior recognition based on attention mechanism and multi-scale feature fusion.

Intelligent recognition of assembly behaviors of workshop production personnel is crucial to improve production assembly efficiency and ensure production safety. This paper proposes a graph convolutional network model for assembly behavior recognition based on attention mechanism and multi-scale feature fusion. The proposed model learns the potential relationship between assembly actions and assembly tools for recognizing assembly behaviors.

Semantic Segmentation of a Printed Circuit Board for Component Recognition Based on Depth Images.

Locating and identifying the components mounted on a printed circuit board (PCB) based on machine vision is an important and challenging problem for automated PCB inspection and automated PCB recycling. In this paper, we propose a PCB semantic segmentation method based on depth images that segments and recognizes components in the PCB through pixel classification. The image training set for the PCB was automatically synthesized with graphic rendering.

Multi-Segmentation Parallel CNN Model for Estimating Assembly Torque Using Surface Electromyography Signals.

The precise application of tightening torque is one of the important measures to ensure accurate bolt connection and improvement in product assembly quality. Currently, due to the limited assembly space and efficiency, a wrench without the function of torque measurement is still an extensively used assembly tool. Therefore, wrench torque monitoring is one of the urgent problems that needs to be solved.

Monitoring of Assembly Process Using Deep Learning Technology.

Monitoring the assembly process is a challenge in the manual assembly of mass customization production, in which the operator needs to change the assembly process according to different products. If an assembly error is not immediately detected during the assembly process of a product, it may lead to errors and loss of time and money in the subsequent assembly process, and will affect product quality. To monitor assembly process, this paper explored two methods: recognizing assembly action and recognizing parts from complicated assembled products.

Smurf1 aggravates non-alcoholic fatty liver disease by stabilizing SREBP-1c in an E3 activity-independent manner.

Non-alcoholic fatty liver disease (NAFLD) is one of the most common liver disorders which are characterized by the accumulation of excessive lipid in hepatocytes. The precise pathogenesis of NAFLD is very complicated and remains largely unknown. Smad ubiquitination regulatory factor 1 (Smurf1) is crucial for numerous processes including bone homeostasis, embryogenesis, and pathogenic autophagy.

Deficiency of CKIP-1 aggravates high-fat diet-induced fatty liver in mice.

Casein kinase 2 interacting protein-1(CKIP-1) is widely expressed in a variety of tissues and cells, and plays an important role in various critical cellular and physiological processes including cell growth, apoptosis, differentiation, cytoskeleton and bone formation. Here, we found: (1) CKIP-1 deficient mice exhibited increased body weight, liver weight, number and size of lipid droplets, and TG content comparing with WT mice after being exposed to high fat diet (HFD); (2) the levels of serum insulin, liver glycogen, phosphorylated C-Jun-N-terminal kinase-1 (pJNK1) and phosphorylated insulin receptor substrate -1(pIRS1) in CKIP-1 mice were higher than those of WT mice; (3) CKIP-1 interacted with JNK1 in vitro. Our results indicate that CKIP-1 deficiency in mice aggravates HFD-induced fatty liver by upregulating JNK1 phosphorylation and further upregulating IRS-1 phosphorylation and RI.

Mechanism of the effect of glycosyltransferase GLT8D2 on fatty liver.

Background: Recent studies have shown that some glycosyltransferases are involved in the development of nonalcoholic fatty liver disease (NAFLD). The objective of this study was to explore the effect and mechanism of glycosyltransferase GLT8D2 on fatty liver.

Methods: Rat model of NAFLD was established by induction with high-fat-diet.

F-box protein Fbxo3 targets Smurf1 ubiquitin ligase for ubiquitination and degradation.

It has been demonstrated previously that F-box protein Fbxl15 targets HECT-type E3 Smurf1 and forms a functionally active SCF complex for ubiquitination and proteasomal degradation. Here we show that another F-box protein Fbxo3, belonging to the FBXO type protein family, also interacts with and targets Smurf1 for poly-ubiquitination and proteasomal degradation. Different from Fbxl15, Fbxo3 targets all the Nedd4 family members for their degradation, indicating that Fbxo3 plays an important role in controlling the stability of Nedd4.