Effect of fructooligosaccharides on the colonization of Lactobacillus rhamnosus AS 1.2466^(T) in the gut of mice

Lactobacillus rhamnosus and fructooligosaccharides(FOS)have been widely studied so far.However,the effects of L.rhamnosus on the intestinal microecological environment at the species level and the effect of different proportions of FOS on L.rhamnosus colonization in different parts of mice intestine are still unclear.The study results indicated that the specific bands of enterobacterial repetitive intergenic consensus polymerase chain reaction(ERIC-PCR)in the L.rhamnosus(LR)group significantly increased at 7 days.Although the number of bands was similar to the natural recovery(NR)group,the brightness of few bands significantly enhanced in the later stage of recovery.Besides,Southern-blot maps showed strong signals,indicating that the ERIC-PCR fingerprint could accurately reflect the changes in the mouse gut microbiota diversity.Further,the high-throughput results confirmed that the Lactobacillus and Akkermansia had different changes at different periods,but all of them showed an upward trend,while the Klebsiella were inhibited,thereby maintaining the intestinal microecology balance.Moreover,FOS exerted a positive effect on L.rhamnosus colonization in the gut.

基于ChatGPT的企业智能风险管理研究

基于生成式人工智能技术的聊天生成式预先训练变换器(Chat Generative Pre-trained Transformer,ChatGPT),依托于强大数据分析与处理能力以及大型语言处理模型,能够为企业风险管理提供新思路、新路径。本文在阐述ChatGPT与风险管理内涵的基础上,结合ChatGPT的关键特征,从风险识别、风险评估、风险应对、风险监控四个方面分析了其对企业风险管理的作用机理,构建了基于ChatGPT的风险管理框架模型,并从数据安全性、决策科学性、人机智能交互与协同以及组织架构调整四个方面分析了该模型在应用实施中的关注点。希望本文的研究能够为以ChatGPT为代表的生成式人工智能在企业风险管理领域的智能化应用提供参考和借鉴。