Molecular dynamics simulation is one kinds of important methods to research the nanocrystalline materials which is difficult to be studied through experimental characterization. In order to study the effects of Sn content and strain rate on the mechanical properties of nanopolycrystalline Cu–Sn alloy, the tensile simulation of nanopolycrystalline Cu–Sn alloy was carried out by molecular dynamics in the present study. The results demonstrate that the addition of Sn reduces the ductility of Cu–Sn alloy. However, the elastic modulus and tensile strength of Cu–Sn alloy are improved with increasing the Sn content initially, but they will be reduced when the Sn content exceeds 4% and 8%, respectively. Then, strain rate ranges from 1 × 109 s−1 to 5 × 109 s−1 were applied to the Cu–7Sn alloy, the results show that the strain rate influence elastic modulus of nanopolycrystalline Cu–7Sn alloy weakly, but the tensile strength and ductility enhance obviously with increasing the strain rate. Finally, the microstructure evolution of nanopolycrystalline Cu–Sn alloy during the whole tensile process was studied. It is found that the dislocation density in the Cu–Sn alloy reduces with increasing the Sn content. However, high strain rate leads to stacking faults more easily to generate and high dislocation density in the Cu–7Sn alloy.
Objective: To explore the effect of Mongolian medicine Saorilao-4 (SRL-4) decoction on the conserved and specific miRNAs and target genes of the gene regulatory network (GRN) involved in pulmonary fibrosis. Method: Healthy adult male SPF SD rats were randomly allocated into 4 groups. Total RNA was isolated and extracted from the lung tissues for transcriptome sequencing. The differentially expressed miRNAs (DEMs) between the different groups were screened using the difference analysis software DESeq2, and the prediction of their target genes were carried out using miRanda. Gene Ontology (GO) as well as Kyoto Encyclopedia of genes and genomes (KEGG) analyses were conducted to identify the biological functions of the target genes. Results: There were 16 DEMs in the IPF model group, whereas SRL-4 treatment resulted in 10 DEMs relative to the untreated model group. GO analysis showed that the target genes of DEMs inSRL-4 groups were enriched in 52 GO items. In addition, KEGG analysis showed that these target genes were enriched in 182 signaling pathways, and the largest number of genes were related to purine metabolism pathway. Conclusion: The progression of pulmonary fibrosis and SRL-4 anti-pulmonary fibrosis are significantly impacted by miR-433-3p, novel 202, and miR-150-3p.
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