目的探究血清晚期糖基化终产物受体(RAGE)、高迁移率族蛋白B1(high mobility group protein B1,HMGB1)水平与重症肺炎(SP)急性呼吸窘迫综合征(ARDS)发病及γ-干扰素(IFN-γ)/白细胞介素4(IL-4)变化的关系。方法前瞻性选取2020年3月至202...目的探究血清晚期糖基化终产物受体(RAGE)、高迁移率族蛋白B1(high mobility group protein B1,HMGB1)水平与重症肺炎(SP)急性呼吸窘迫综合征(ARDS)发病及γ-干扰素(IFN-γ)/白细胞介素4(IL-4)变化的关系。方法前瞻性选取2020年3月至2022年2月我院收治的100例SP患儿为研究对象,根据患儿是否发生继发性ARDS将患儿分为ARDS组(n=56)和对照组(n=44),收集患儿一般资料,采集外周血以酶联免疫吸附法进行RAGE、HMGB1、IFN-γ和IL-4表达水平检测,采用多因素logistic回归分析SP患儿继发ARDS的影响因素,采用Pearson相关性分析其与IFN-γ/IL-4的相关性,并采用受试者工作曲线(ROC)分析RAGE、HMGB1表达对SP患儿继发ARDS的预测价值。结果两组SP患儿性别、年龄、体温以及发病季节之间无显著差异,ARDS组致病菌种类多于对照组,PaO_(2)/FiO_(2)和APS评分、血清RAGE、HMGB1、IFN-γ和IL-4表达水平以及IFN-γ/IL-4比值均高于对照组(P<0.05)。经多因素logistic回归分析可知,致病菌种类、PaO_(2)/FiO_(2)、RAGE、HMGB1表达、IFN-γ、IL-4和IFN-γ/IL-4均为SP患儿继发ARDS的影响因素。经Pearson相关检验,SP患儿血清RAGE、HMGB1表达水平与IFN-γ、IL-4和IFN-γ/IL-4均呈正相关(P<0.05)。经ROC曲线分析可得,血清RAGE、HMGB1水平预测SP患儿发生ARDS的AUC分别为0.707和0.750,灵敏度分别为73.2%、64.3%,特异度分别为68.2%、77.3%,两者联合预测的AUC为0.848,灵敏度和特异度分别为80.4%和81.8%。结论SP继发ARDS患儿血清中RAGE、HMGB1表达水平较高,与IFN-γ/IL-4呈正相关,监测患儿血清RAGE、HMGB1表达对SP患儿继发ARDS的风险有一定的预测价值。展开更多
A low-Earth-orbit(LEO)satellite network can provide full-coverage access services worldwide and is an essential candidate for future 6G networking.However,the large variability of the geographic distribution of the Ea...A low-Earth-orbit(LEO)satellite network can provide full-coverage access services worldwide and is an essential candidate for future 6G networking.However,the large variability of the geographic distribution of the Earth’s population leads to an uneven service volume distribution of access service.Moreover,the limitations on the resources of satellites are far from being able to serve the traffic in hotspot areas.To enhance the forwarding capability of satellite networks,we first assess how hotspot areas under different load cases and spatial scales significantly affect the network throughput of an LEO satellite network overall.Then,we propose a multi-region cooperative traffic scheduling algorithm.The algorithm migrates low-grade traffic from hotspot areas to coldspot areas for forwarding,significantly increasing the overall throughput of the satellite network while sacrificing some latency of end-to-end forwarding.This algorithm can utilize all the global satellite resources and improve the utilization of network resources.We model the cooperative multi-region scheduling of large-scale LEO satellites.Based on the model,we build a system testbed using OMNET++to compare the proposed method with existing techniques.The simulations show that our proposed method can reduce the packet loss probability by 30%and improve the resource utilization ratio by 3.69%.展开更多
基于类Kuramoto模型,对链式电网中的任意两个节点添加新的输电线,利用微扰动方法进一步分析链式电网的稳定性.理论结果表明:当电网中新加传输线中间节点相位差的取值范围给定时,拉普拉斯矩阵的最大非零特征值的领头阶修正(leading order...基于类Kuramoto模型,对链式电网中的任意两个节点添加新的输电线,利用微扰动方法进一步分析链式电网的稳定性.理论结果表明:当电网中新加传输线中间节点相位差的取值范围给定时,拉普拉斯矩阵的最大非零特征值的领头阶修正(leading order correction)的符号由新加传输线两端对应节点的相位差决定,且当新加传输线对应的节点与其中间节点的相位差同时在第一象限或者第四象限时,整体网络的稳定性能提高.展开更多
文摘目的探究血清晚期糖基化终产物受体(RAGE)、高迁移率族蛋白B1(high mobility group protein B1,HMGB1)水平与重症肺炎(SP)急性呼吸窘迫综合征(ARDS)发病及γ-干扰素(IFN-γ)/白细胞介素4(IL-4)变化的关系。方法前瞻性选取2020年3月至2022年2月我院收治的100例SP患儿为研究对象,根据患儿是否发生继发性ARDS将患儿分为ARDS组(n=56)和对照组(n=44),收集患儿一般资料,采集外周血以酶联免疫吸附法进行RAGE、HMGB1、IFN-γ和IL-4表达水平检测,采用多因素logistic回归分析SP患儿继发ARDS的影响因素,采用Pearson相关性分析其与IFN-γ/IL-4的相关性,并采用受试者工作曲线(ROC)分析RAGE、HMGB1表达对SP患儿继发ARDS的预测价值。结果两组SP患儿性别、年龄、体温以及发病季节之间无显著差异,ARDS组致病菌种类多于对照组,PaO_(2)/FiO_(2)和APS评分、血清RAGE、HMGB1、IFN-γ和IL-4表达水平以及IFN-γ/IL-4比值均高于对照组(P<0.05)。经多因素logistic回归分析可知,致病菌种类、PaO_(2)/FiO_(2)、RAGE、HMGB1表达、IFN-γ、IL-4和IFN-γ/IL-4均为SP患儿继发ARDS的影响因素。经Pearson相关检验,SP患儿血清RAGE、HMGB1表达水平与IFN-γ、IL-4和IFN-γ/IL-4均呈正相关(P<0.05)。经ROC曲线分析可得,血清RAGE、HMGB1水平预测SP患儿发生ARDS的AUC分别为0.707和0.750,灵敏度分别为73.2%、64.3%,特异度分别为68.2%、77.3%,两者联合预测的AUC为0.848,灵敏度和特异度分别为80.4%和81.8%。结论SP继发ARDS患儿血清中RAGE、HMGB1表达水平较高,与IFN-γ/IL-4呈正相关,监测患儿血清RAGE、HMGB1表达对SP患儿继发ARDS的风险有一定的预测价值。
基金This work was supported by the National Key R&D Program of China(2021YFB2900604).
文摘A low-Earth-orbit(LEO)satellite network can provide full-coverage access services worldwide and is an essential candidate for future 6G networking.However,the large variability of the geographic distribution of the Earth’s population leads to an uneven service volume distribution of access service.Moreover,the limitations on the resources of satellites are far from being able to serve the traffic in hotspot areas.To enhance the forwarding capability of satellite networks,we first assess how hotspot areas under different load cases and spatial scales significantly affect the network throughput of an LEO satellite network overall.Then,we propose a multi-region cooperative traffic scheduling algorithm.The algorithm migrates low-grade traffic from hotspot areas to coldspot areas for forwarding,significantly increasing the overall throughput of the satellite network while sacrificing some latency of end-to-end forwarding.This algorithm can utilize all the global satellite resources and improve the utilization of network resources.We model the cooperative multi-region scheduling of large-scale LEO satellites.Based on the model,we build a system testbed using OMNET++to compare the proposed method with existing techniques.The simulations show that our proposed method can reduce the packet loss probability by 30%and improve the resource utilization ratio by 3.69%.
文摘基于类Kuramoto模型,对链式电网中的任意两个节点添加新的输电线,利用微扰动方法进一步分析链式电网的稳定性.理论结果表明:当电网中新加传输线中间节点相位差的取值范围给定时,拉普拉斯矩阵的最大非零特征值的领头阶修正(leading order correction)的符号由新加传输线两端对应节点的相位差决定,且当新加传输线对应的节点与其中间节点的相位差同时在第一象限或者第四象限时,整体网络的稳定性能提高.
