The microbial species richness, diversity, and evenness of the intestinal flora were examined using Alpha diversity metrics, such as the Chao1 index, Shannon index, and Simpson index. Beta diversity methods, including PCoA analysis, NMDS analysis, and UPGMA cluster analysis were employed to analyze the changes in intestinal flora. The composition of the intestinal flora was determined at both phylum and genus levels. Differences in species and marker species were analyzed using Venn Diagrams and LEfSe analysis. Specific strains with relatively high abundance were identified to investigate the effects of camel milk peptide on specific intestinal flora in T2DM mice. Finally, correlation analysis was conducted to determine the relationship between intestinal flora, short-chain fatty acids, and biochemical indicators.
![/data # iw --debug dev wlan0 connect -w "lucky-5g" auth open key 0:1234567890
Usage: iw [options] dev connect [-w] [] [] [auth open|shared] [key 0:abcde d:1:6162636465] [mfp:req/opt/no]
Join the network with ...](https://linuxcpp.0voice.com/zb_users/upload/2023/05/202305162239148267954.png)
![驱动代码
void kalRxTaskletSchedule(struct GLUE_INFO *pr)
{
static unsigned int num = 0;
tasklet_hi_schedule(&pr->rRxTask[(num++)%NR_CPUS]);
// tasklet_hi_schedule(&pr->rRxTask);
DBGLOG(HAL, ERROR,](https://linuxcpp.0voice.com/zb_users/upload/2023/05/202305162226144313964.png)
