目的探究基于“整体观念”理论头体针结合治疗脑卒中后偏瘫患者肢体功能障碍的短期临床疗效。方法将72例符合纳入标准的卒中后偏瘫患者采用统计产品与服务解决方案(Statistical product and service solutions,SPSS)软件随机分为观察组...目的探究基于“整体观念”理论头体针结合治疗脑卒中后偏瘫患者肢体功能障碍的短期临床疗效。方法将72例符合纳入标准的卒中后偏瘫患者采用统计产品与服务解决方案(Statistical product and service solutions,SPSS)软件随机分为观察组和对照组,各36例。两组均给予脑卒中常规药物治疗及康复训练,观察组遵循中医整体观念理论采用整体选穴与头针相结合的治疗方案,对照组采取偏瘫侧阳明经取穴为主的常规针刺治疗。1天1次,1周6天连续治疗2周。治疗前后对两组患者进行评估,参照洛维特肌力分级标准(Lovett肌力分级)、肢体运动功能评分量表(Fugl-Meyer,FMA)、日常生活活动能力量表(Barthel指数,BI)及临床疗效观察。结果与治疗前比较,治疗后两组患者肌力评定均有提升(P<0.05),且观察组优于对照组(P<0.05);治疗后,观察组FMA评分和BI指数均有明显提升(P<0.01),且显著高于对照组治疗后(P<0.01);然而,对照组与其治疗前阶段相比,FMA、Bl指数无显著性差异(P>0.05)。观察组总有效率94.4%(34/36),对照组47.2%(17/36),两组之间差异具有统计学意义(P<0.05)。结论遵循中医整体观念原则采用整体选穴与头针相结合的治疗方案对脑卒中后偏瘫患者肢体运动功能的临床疗效确切,在短期内的针刺效应更强、疗效显著。展开更多
The promotion of electric vehicles(EVs)is restricted due to their short cruising range.It is desirable to design an effective energy management strategy to improve their energy efficiency.Most existing work concerning...The promotion of electric vehicles(EVs)is restricted due to their short cruising range.It is desirable to design an effective energy management strategy to improve their energy efficiency.Most existing work concerning energy management strategies focused on hybrids rather than the EVs.The work focusing on the energy management strategy for EVs mainly uses the traditional optimization strategies,thereby limiting the advantages of energy economy.To this end,a novel energy management strategy that considered the impact of battery thermal effects was proposed with the help of reinforcement learning.The main idea was to first analyze the energy flow path of EVs,further formulize the energy management as an optimization problem,and finally propose an online strategy based on reinforcement learning to obtain the optimal strategy.Additionally,extensive simulation results have demonstrated that our strategy reduces energy consumption by at least 27.4%compared to the existing methods.展开更多
文摘目的探究基于“整体观念”理论头体针结合治疗脑卒中后偏瘫患者肢体功能障碍的短期临床疗效。方法将72例符合纳入标准的卒中后偏瘫患者采用统计产品与服务解决方案(Statistical product and service solutions,SPSS)软件随机分为观察组和对照组,各36例。两组均给予脑卒中常规药物治疗及康复训练,观察组遵循中医整体观念理论采用整体选穴与头针相结合的治疗方案,对照组采取偏瘫侧阳明经取穴为主的常规针刺治疗。1天1次,1周6天连续治疗2周。治疗前后对两组患者进行评估,参照洛维特肌力分级标准(Lovett肌力分级)、肢体运动功能评分量表(Fugl-Meyer,FMA)、日常生活活动能力量表(Barthel指数,BI)及临床疗效观察。结果与治疗前比较,治疗后两组患者肌力评定均有提升(P<0.05),且观察组优于对照组(P<0.05);治疗后,观察组FMA评分和BI指数均有明显提升(P<0.01),且显著高于对照组治疗后(P<0.01);然而,对照组与其治疗前阶段相比,FMA、Bl指数无显著性差异(P>0.05)。观察组总有效率94.4%(34/36),对照组47.2%(17/36),两组之间差异具有统计学意义(P<0.05)。结论遵循中医整体观念原则采用整体选穴与头针相结合的治疗方案对脑卒中后偏瘫患者肢体运动功能的临床疗效确切,在短期内的针刺效应更强、疗效显著。
基金National Natural Science Foundation of China(Nos.61772130 and 62072096)Fundamental Research Funds for the Central Universities+2 种基金China(No.2232020A-12)International Cooperation Program of Shanghai Science and Technology Commission,China(No.20220713000)Young Top-Notch Talent Program in Shanghai,China。
文摘The promotion of electric vehicles(EVs)is restricted due to their short cruising range.It is desirable to design an effective energy management strategy to improve their energy efficiency.Most existing work concerning energy management strategies focused on hybrids rather than the EVs.The work focusing on the energy management strategy for EVs mainly uses the traditional optimization strategies,thereby limiting the advantages of energy economy.To this end,a novel energy management strategy that considered the impact of battery thermal effects was proposed with the help of reinforcement learning.The main idea was to first analyze the energy flow path of EVs,further formulize the energy management as an optimization problem,and finally propose an online strategy based on reinforcement learning to obtain the optimal strategy.Additionally,extensive simulation results have demonstrated that our strategy reduces energy consumption by at least 27.4%compared to the existing methods.
