With the rapid development of the computer network technology, the blended learning method based on computer-assisted teaching has also been booming. This paper analyzes the connotations of blended learning and the architecture and main functions of the Moodle system by using research methods such as litera-ture analysis, development and research method and sample survey method and then establishes a blended learning model based on the Moodle platform. Then, with the course of C Programming Language as an example, this paper gives de-tailed design of the process and implementation plan of the blended learning model based on the Moodle platform. At last, this paper investigates and analyzes the teaching effects among teachers and students participating in the learning ac-tivity, and the results show that the blended learning model based on the Moodle platform is helpful to improving the teaching effects and can serve as a reference for the innovation of teaching models and methods.

BackgroundAcute kidney injury is a common and severe complication of sepsis. Sepsis -induced acute kidney injury(S-AKI) is an independent risk factor for mortality among sepsis patients. However, the mechanisms of S-AKI are complex and poorly understand. Therefore, exploring the underlying mechanisms of S-AKI may lead to the development of therapeutic targets.MethodA model of S-AKI was established in male C57BL/6 mice using cecal ligation and puncture (CLP). The data-independent acquisition (DIA)-mass spectrometry-based proteomics was used to explore the protein expression changes and analyze the key proteomics profile in control and CLP group. The methodology was also used to identify the key proteins and pathways. S-AKI in vitro was established by treating the HK-2 cells with lipopolysaccharide (LPS). Subsequently, the effect and mechanism of Cathepsin B (CTSB) in inducing apoptosis in HK-2 cells were observed and verified.ResultsThe renal injury scores, serum creatinine, blood urea nitrogen, and kidney injury molecule 1 were higher in septic mice than in non-septic mice. The proteomic analysis identified a total of 449 differentially expressed proteins (DEPs). GO and KEGG analysis showed that DEPs were mostly enriched in lysosomal-related cell structures and pathways. CTSB and MAPK were identified as key proteins in S-AKI. Electron microscopy observed enlarged lysosomes, swelled and ruptured mitochondria, and cytoplasmic vacuolization in CLP group. TUNEL staining and CTSB activity test showed that the apoptosis and CTSB activity were higher in CLP group than in control group. In HK-2 cell injury model, the CTSB activity and mRNA expression were increased in LPS-treated cells. Acridine orange staining showed that LPS caused lysosomal membrane permeabilization (LMP). CA074 as an inhibitor of CTSB could effectively inhibit CTSB activity. CCK8 and Annexin V/PI staining results indicated that CA074 reversed LPS-induced apoptosis of HK-2 cells. The JC-1 and western blot results showed that LPS inhibited mitochondrial membrane potential and activated mitochondrial apoptosis pathway, which could be reversed by CA074.ConclusionsLMP and CTSB contribute to pathogenesis of S-AKI. LPS treatment induced HK-2 cell injury by activating mitochondrial apoptosis pathway. Inhibition of CTSB might be a new therapeutic strategy to alleviate sepsis-induced acute kidney injury.

Due to the gradual improvement of living standards in recent years and the continuous improvement of China’s health care awareness, the aesthetic medicine model has gradually changed from the treatment mode of disease treatment to the prevention mode of early detection and early treatment. Meanwhile, wireless sensor networks (WSNs) are gradually infiltrating into the medical field due to their low power consumption, small size, wireless transmission, and portability which complies with the needs of the development of medical models. Therefore, this paper studies and implements a beauty medical health monitoring system based on WSN and ZigBee short-range wireless transmission protocol; moreover, wireless power transfer (WPT) technology is used for charging sensors. Experimental results demonstrate the feasibility that the maximum power levels converted in sensors by the WPT for different ISM bands can meet the average power consumption expected in the range of 200–500 μW. And the designed system can provide an important practical reference for promoting the informationization of telemedicine and the development of beauty medical systems in China.

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Background: Acute kidney injury is one of the most common complications of sepsis, while autophagy has been reported to exert protective effects against kidney diseases. background: Acute kidney injury is one of the most common complications of sepsis. Autophagy has been reported to make protective effects in kidney diseases, therefore in this study, we identified the key autophagy genes in sepsis-related acute kidney injury(S-AKI) through bioinformatics analysis of sequencing data, and activated autophagy to verify the key genes through cell experiments. Aims & Objectives: In this study, the key autophagy genes in sepsis-related acute kidney injury (SAKI) were identified by bioinformatics analysis of sequencing data. In addition, autophagy was activated in cell experiments to verify the key genes. objective: The objective of this study is to find the autophagy genes that play a key role in the process of septic kidney injury. Methods: The GSE73939, GSE30576, and GSE120879 datasets were downloaded from Gene Expression Omnibus (GEO), and the Autophagy-related Genes (ATGs) were downloaded from Kyoto Encyclopedia of Genes and Genomes (KEGG). GO enrichment analysis, KEGG pathway enrichment analysis, and protein–protein interactions (PPI) analysis were performed on the differentially expressed genes (DEGs) and ATGs. The online STRING tool and Cytoscape software were used to further identify the key genes. RNA expression of key ATGs was validated by qRT-PCR through an LPS-induced HK-2 injury cell model. method: GSE73939, GSE30576, GSE120879 were downloaded from Gene Expression Omnibus (GEO) and the Autophagy-related Genes (ATGs) were downloaded from Kyoto Encyclopedia of Genes and Genomes (KEGG), GO enrichment analysis, KEGG pathway enrichment analysis and protein–protein interactions (PPI) analysis were applied to the differentially expressed genes (DEGs) and ATGs. The online STRING tool and Cytoscape software were used to further identification the key genes. RNA expression of key ATGs was validated by qRT-PCR through LPS-induce HK-2 injury cell model. Results: A total of 2376 DEGs (1012 upregulated genes and 1364 downregulated genes) and 26 key ATGs were identified. The GO and KEGG enrichment analysis indicated several enriched terms related to the autophagy process. The PPI results revealed an interaction among these autophagy-related genes. Six hub genes with the highest scores were obtained by the intersection of different algorithms, which were further confirmed as 4 hub genes (Bcl2l1, Map1lc3b, Bnip3, Map2k1) by real-time qPCR. result: A total of 2376 DEGs (1012 upregulated genes and 1364 downregulated genes) and 26 key ATGs were identified. The GO and KEGG enrichment analysis indicated several enriched terms related to autophagy process. Results of PPI showed an interaction between these autophagy-related genes. The highest scores 6 hub genes were obtained by intersection of different algorithms, which were further confirmed as 4 hub genes (Bcl2l1, Map1lc3b, Bnip3, Map2k1) through real-time qPCR. Conclusion: Our data identified Bcl2l1, Map1lc3b, Bnip3, and Map2k1 as the key autophagyregulating genes in the development of sepsis and provided a foundation to detect biomarkers and therapeutic targets for S-AKI. other: none