BACKGROUND An increasing number of studies have begun to discuss the relationship between gut microbiota and diseases,yet there is currently a lack of corresponding articles describing the association between gut micr...BACKGROUND An increasing number of studies have begun to discuss the relationship between gut microbiota and diseases,yet there is currently a lack of corresponding articles describing the association between gut microbiota and hepatocellular carcinoma(HCC)and biliary tract cancer(BTC).This study aims to explore the relationship between them using Mendelian randomization(MR)analysis method.AIM To assess the relationship between gut microbiota and HCC and BTC.METHODS We obtained Genome-wide association study(GWAS)data for the gut microbiome from the intestinal microbiota genomic library(MiBioGen,https://mibiogen.gcc.rug.nl/).Additionally,we accessed data pertaining to HCC and BTC from the IEU open GWAS platform(https://gwas.mrcieu.ac.uk/).Our analysis employed fundamental instrumental variable analysis methods,including inverse-variance weighted,MR and Egger.To ensure the dependability of the results,we subjected the results to tests for multiple biases and heterogeneity.RESULTS During our investigation,we discovered 11 gut microbiota linked to an increased risk to BTC and HCC.The former included the genus Eubacterium hallii group(P=0.017),Candidatus Soleaferrea(P=0.034),Flavonifractor(P=0.021),Lachnospiraceae FCS020(P=0.034),the order Victivallales(P=0.018),and the class Lentisphaeria(P=0.0.18).The latter included the genus Desulfovibrio(P=0.042),Oscillibacter(P=0.023),the family Coriobacteriaceae(P=0.048),the order Coriobacteriales(P=0.048),and the class Coriobacteriia(P=0.048).Furthermore,in BTC,we observed 2 protective gut microbiota namely the genus Dorea(P=0.041)and Lachnospiraceae ND3007 group(P=0.045).All results showed no evidence of multiplicity or heterogeneity.CONCLUSION This study explores a causal link between gut microbiota and HCC and BTC.These insights may enhance the mechanistic knowledge of microbiota-related HCC and BTC pathways,potentially informing therapeutic strategies.展开更多
文章研究分析了直播中多用户、多服务器场景下存在的直播用户的体验质量(Quality of Experience,QoE)不高的问题,为提升用户的QoE,将能耗和时延作为决策目标,设计一种经改进的NSGA-Ⅱ(非支配排序遗传算法),即L-NSGA-Ⅱ,用线性排名的方...文章研究分析了直播中多用户、多服务器场景下存在的直播用户的体验质量(Quality of Experience,QoE)不高的问题,为提升用户的QoE,将能耗和时延作为决策目标,设计一种经改进的NSGA-Ⅱ(非支配排序遗传算法),即L-NSGA-Ⅱ,用线性排名的方式进行父代的选择加速算法收敛。实验表明,与LUA、NSGA-Ⅱ和Random算法策略相比,所提方案的平均延迟降低约9.1%,用户QoE提升约4.39%。该方案应用于直播场景中,在减少延迟、提升吞吐量和降低能源开销方面表现出较好的效果。展开更多
利用低轨卫星进行导航增强是实现精密单点定位(Precise Point Positioning, PPP)快速收敛的有效途径之一。针对低轨卫星轨道与钟差误差对增强PPP性能的影响,推导了适用于低轨卫星的空间信号测距误差(Signal in Space Ranging Error, SIS...利用低轨卫星进行导航增强是实现精密单点定位(Precise Point Positioning, PPP)快速收敛的有效途径之一。针对低轨卫星轨道与钟差误差对增强PPP性能的影响,推导了适用于低轨卫星的空间信号测距误差(Signal in Space Ranging Error, SISRE)计算公式,并基于低轨SISRE开展仿真试验,讨论低轨轨道与钟差误差对PPP的贡献。仿真结果显示,低轨SISRE与中高轨卫星存在显著不同,其切向和法向占比最高可达30%以上,同时SISRE显著影响PPP的收敛时间。为了保证北斗与低轨联合PPP的性能,SISRE最好应小于0.06 m,最大不超过0.20 m。展开更多
基金Supported by Natural Science Foundation of China,No.82200706。
文摘BACKGROUND An increasing number of studies have begun to discuss the relationship between gut microbiota and diseases,yet there is currently a lack of corresponding articles describing the association between gut microbiota and hepatocellular carcinoma(HCC)and biliary tract cancer(BTC).This study aims to explore the relationship between them using Mendelian randomization(MR)analysis method.AIM To assess the relationship between gut microbiota and HCC and BTC.METHODS We obtained Genome-wide association study(GWAS)data for the gut microbiome from the intestinal microbiota genomic library(MiBioGen,https://mibiogen.gcc.rug.nl/).Additionally,we accessed data pertaining to HCC and BTC from the IEU open GWAS platform(https://gwas.mrcieu.ac.uk/).Our analysis employed fundamental instrumental variable analysis methods,including inverse-variance weighted,MR and Egger.To ensure the dependability of the results,we subjected the results to tests for multiple biases and heterogeneity.RESULTS During our investigation,we discovered 11 gut microbiota linked to an increased risk to BTC and HCC.The former included the genus Eubacterium hallii group(P=0.017),Candidatus Soleaferrea(P=0.034),Flavonifractor(P=0.021),Lachnospiraceae FCS020(P=0.034),the order Victivallales(P=0.018),and the class Lentisphaeria(P=0.0.18).The latter included the genus Desulfovibrio(P=0.042),Oscillibacter(P=0.023),the family Coriobacteriaceae(P=0.048),the order Coriobacteriales(P=0.048),and the class Coriobacteriia(P=0.048).Furthermore,in BTC,we observed 2 protective gut microbiota namely the genus Dorea(P=0.041)and Lachnospiraceae ND3007 group(P=0.045).All results showed no evidence of multiplicity or heterogeneity.CONCLUSION This study explores a causal link between gut microbiota and HCC and BTC.These insights may enhance the mechanistic knowledge of microbiota-related HCC and BTC pathways,potentially informing therapeutic strategies.
文摘文章研究分析了直播中多用户、多服务器场景下存在的直播用户的体验质量(Quality of Experience,QoE)不高的问题,为提升用户的QoE,将能耗和时延作为决策目标,设计一种经改进的NSGA-Ⅱ(非支配排序遗传算法),即L-NSGA-Ⅱ,用线性排名的方式进行父代的选择加速算法收敛。实验表明,与LUA、NSGA-Ⅱ和Random算法策略相比,所提方案的平均延迟降低约9.1%,用户QoE提升约4.39%。该方案应用于直播场景中,在减少延迟、提升吞吐量和降低能源开销方面表现出较好的效果。
文摘利用低轨卫星进行导航增强是实现精密单点定位(Precise Point Positioning, PPP)快速收敛的有效途径之一。针对低轨卫星轨道与钟差误差对增强PPP性能的影响,推导了适用于低轨卫星的空间信号测距误差(Signal in Space Ranging Error, SISRE)计算公式,并基于低轨SISRE开展仿真试验,讨论低轨轨道与钟差误差对PPP的贡献。仿真结果显示,低轨SISRE与中高轨卫星存在显著不同,其切向和法向占比最高可达30%以上,同时SISRE显著影响PPP的收敛时间。为了保证北斗与低轨联合PPP的性能,SISRE最好应小于0.06 m,最大不超过0.20 m。
