目的探讨贝前列素钠联合他克莫司治疗肾病综合征的效果及对肾功能、超声肾血流状态的影响。方法选取2021年3月至2023年6月收治的80例肾病综合征患者为研究对象,将其随机分为对照组和观察组,各40例。对照组给予他克莫司治疗,观察组在对...目的探讨贝前列素钠联合他克莫司治疗肾病综合征的效果及对肾功能、超声肾血流状态的影响。方法选取2021年3月至2023年6月收治的80例肾病综合征患者为研究对象,将其随机分为对照组和观察组,各40例。对照组给予他克莫司治疗,观察组在对照组基础上加用贝前列素钠治疗。比较两组的治疗效果。结果观察组的治疗总有效率为95.00%,高于对照组的77.50%,差异具有统计学意义(P<0.05)。治疗前,两组的血肌酐(Scr)、胱抑素-C(Cys-C)、血尿素氮(BUN)、白蛋白(ALB)水平及24 h尿蛋白定量(24 h UPQ)比较,差异无统计学意义(P>0.05);治疗后,观察组的Scr、Cys-C、BUN水平及24 h UPQ低于对照组,ALB水平高于对照组,差异具有统计学意义(P<0.05)。治疗前,两组的肾动脉收缩期峰值血流速度(PSV)、搏动指数(PI)及阻力指数(RI)比较,差异无统计学意义(P>0.05);治疗后,观察组的肾动脉PSV高于对照组,PI、RI低于对照组(P<0.05)。结论贝前列素钠联合他克莫司治疗肾病综合征的效果显著,其能改善患者肾功能,调节肾血流状态,值得推广。展开更多
Emerging Internet of Things(IoT)applications require faster execution time and response time to achieve optimal performance.However,most IoT devices have limited or no computing capability to achieve such stringent ap...Emerging Internet of Things(IoT)applications require faster execution time and response time to achieve optimal performance.However,most IoT devices have limited or no computing capability to achieve such stringent application requirements.To this end,computation offloading in edge computing has been used for IoT systems to achieve the desired performance.Nevertheless,randomly offloading applications to any available edge without considering their resource demands,inter-application dependencies and edge resource availability may eventually result in execution delay and performance degradation.We introduce Edge-IoT,a machine learning-enabled orchestration framework in this paper,which utilizes the states of edge resources and application resource requirements to facilitate a resource-aware offloading scheme for minimizing the average latency.We further propose a variant bin-packing optimization model that co-locates applications firmly on edge resources to fully utilize available resources.Extensive experiments show the effectiveness and resource efficiency of the proposed approach.展开更多
文摘目的探讨贝前列素钠联合他克莫司治疗肾病综合征的效果及对肾功能、超声肾血流状态的影响。方法选取2021年3月至2023年6月收治的80例肾病综合征患者为研究对象,将其随机分为对照组和观察组,各40例。对照组给予他克莫司治疗,观察组在对照组基础上加用贝前列素钠治疗。比较两组的治疗效果。结果观察组的治疗总有效率为95.00%,高于对照组的77.50%,差异具有统计学意义(P<0.05)。治疗前,两组的血肌酐(Scr)、胱抑素-C(Cys-C)、血尿素氮(BUN)、白蛋白(ALB)水平及24 h尿蛋白定量(24 h UPQ)比较,差异无统计学意义(P>0.05);治疗后,观察组的Scr、Cys-C、BUN水平及24 h UPQ低于对照组,ALB水平高于对照组,差异具有统计学意义(P<0.05)。治疗前,两组的肾动脉收缩期峰值血流速度(PSV)、搏动指数(PI)及阻力指数(RI)比较,差异无统计学意义(P>0.05);治疗后,观察组的肾动脉PSV高于对照组,PI、RI低于对照组(P<0.05)。结论贝前列素钠联合他克莫司治疗肾病综合征的效果显著,其能改善患者肾功能,调节肾血流状态,值得推广。
基金supported by the National Natural Science Foundation of China under Grant Nos.61571401 and 61901416(part of the China Postdoctoral Science Foundation under Grant No.2021TQ0304)the Innovative Talent Colleges and the University of Henan Province under Grant No.18HASTIT021.
文摘Emerging Internet of Things(IoT)applications require faster execution time and response time to achieve optimal performance.However,most IoT devices have limited or no computing capability to achieve such stringent application requirements.To this end,computation offloading in edge computing has been used for IoT systems to achieve the desired performance.Nevertheless,randomly offloading applications to any available edge without considering their resource demands,inter-application dependencies and edge resource availability may eventually result in execution delay and performance degradation.We introduce Edge-IoT,a machine learning-enabled orchestration framework in this paper,which utilizes the states of edge resources and application resource requirements to facilitate a resource-aware offloading scheme for minimizing the average latency.We further propose a variant bin-packing optimization model that co-locates applications firmly on edge resources to fully utilize available resources.Extensive experiments show the effectiveness and resource efficiency of the proposed approach.
