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Lipotoxicity has been shown to induce the loss of functional β-cell mass and lead to type 2 diabetes, but the mechanism remains unknown. In this study, we aim to explore the role of secretagogin (SCGN) in lipotoxicity-induced β-cell injury. Our results indicate that ox-LDL treatment leads to autophagic cell death, as evidenced by decreased cell viability, aggravated cell apoptosis, and the accumulation of the p62 protein in MIN6 cells. LysoTracker Red staining, TEM and mRFP-GFP-LC3 assays demonstrate that autophagic flux is blocked in ox-LDL-treated MIN6 cells. Intriguingly, SCGN is significantly decreased in MIN6 cells under lipotoxic conditions. Additionally, siRNA-guided SCGN knockdown blocks autophagic flux triggered by rapamycin, while SCGN restoration alleviates autophagic flux retardation and mitigates cell apoptosis. The physical interaction between SCGN and SNAP29 is validated by bioinformatics analysis, coimmunoprecipitation assay and SCGN knockdown test. Downregulation of SCGN expression reduces the interaction of these two proteins. Taken together, our results indicate that ox-LDL treatment induces apoptotic β-cell death by blocking autophagic flux dependent on SCGN downregulation. SCGN administration prevents lipotoxic β-cell injury and may be a potential therapeutic strategy to promote β-cell expansion in type 2 diabetes.

The style design of clothing plays an important role in enhancing the overall aesthetics of clothing and customer satisfaction. Using celadon images, Dunhuang frescoes and Yangliuqing New Year paintings as style maps and clothing images as content maps, this study used VGG-19 network model to extract features of content images and style images. It introduced a pixel-mean loss function to perform style migration on the luminance channel of content images. It introduced ResNet - B, ResNet - C and ResNet - D variants in the image segmentation model YOLACT, replacing the activation function ReLU with Swish and introducing the Soft-NMS-based candidate frame screening algorithm. Further more, it enhanced the edge effect of garments by an omnidirectional gradient-based stylized edge extraction algorithm. The stylized images were denoised by using a denoising convolutional neural network. The experimental results show that the generated stylized images achieve a more coordinated view of global color information; the image segmentation accuracy is improved; the edge information of the images is enhanced; the noise is eliminated significantly; and the Clarity is still maintained. The proposed series of methods can assist in garment style design and widen the application range of style migration. [ABSTRACT FROM AUTHOR]

In order to avoid the design of the rotor of the dry gas seal high speed test stand occur resonance phenomenon during high speed running,the transfer matrix method was applicated to calculate the natural frequency.Then it obtains that its natural frequency is 14044.586r/min when the dry gas seal static and ring `s quality is 33.78 kg in rotor system,and using the finite element method analysis the modes of the rotor system when it is operating in the vicinity of its natural frequency,then it will get the modal figure with four modal value.Comparative and analysis the results of the two methods,though simplified model are not the same,the results are similar.And the design of speed can meet the requirements,so it can describe the design of the rotor system is reasonable.