OBJECTIVE:To systematically evaluate the curative effect of acupuncture on post-stroke depression(PSD).METHODS:The internet was used to retrieve the Wanfang Medical Data System,Chinese Periodical Net,the Weipu Informa...OBJECTIVE:To systematically evaluate the curative effect of acupuncture on post-stroke depression(PSD).METHODS:The internet was used to retrieve the Wanfang Medical Data System,Chinese Periodical Net,the Weipu Information Resources System,PubMed and the Cochrane Library Database.Relevant articles,up to September 2010,were manually retrieved.These papers included studies that had performed random and semi-random control trials for the use of acupuncture to treat PSD.Fifteen random control tests involving 1096 patients were included in this study and individual cases,interventional measures and curative effects were extracted from this research.Grade methodological quality evaluation and meta-analysis were performed on these studies.RESULTS:Comparison between the acupuncture group and the Western medicine group for the curative rate on PSD revealed an OR of 1.48,95% CI = [1.11 1.97] and P=0.008.Comparison of obviously effective rate shows that OR=1.39,95% CI=[1.08 1.80] and P=0.01.Comparison of effective rate showsthatOR=0.83,95%CI=[0.631.09]andP=0.18.CONCLUSION:Comparison between the acupuncture group and Western medicine group in treating PSD revealed that there is a statistical difference in curative rate and remarkably effective rate,but no difference in effective rate.展开更多
大规模风电集群功率输出不确定性对接入电网频率造成不利影响,为了使风电集群与传统电源协调配合共同参与系统调频,提出一种基于随机分层分布式模型预测控制(stochastic-hierarchical-distributed model predictive control,S-H-DMPC)...大规模风电集群功率输出不确定性对接入电网频率造成不利影响,为了使风电集群与传统电源协调配合共同参与系统调频,提出一种基于随机分层分布式模型预测控制(stochastic-hierarchical-distributed model predictive control,S-H-DMPC)的风电集群频率控制机会约束目标滚动规划方法(chance constrained goal rolling programming,CCGRP)。首先,建立考虑功率波动相关性的风电集群功率预测误差模型;其次,提出考虑风电集群功率预测误差随机向量的双层机会约束目标滚动规划方法,上层规划侧重电网拓扑结构及全区系统经济性,下层规划侧重平均系统频率增广模型(average system frequency augmented model,ASFAM)及分区运行安全性;最后,提出基于蒙特卡罗随机模拟的模型求解方法,该方法采用仿射变换算法,通过对风电集群功率预测误差随机向量进行抽样实现机会约束条件的处理。仿真算例表明,所提控制方法能有效提高风电集群参与系统调频的准确性,证明了方法的可行性与鲁棒性。展开更多
Both necessary and sufficient maximum principles for optimal control of stochastic systemwith random jumps consisting of forward and backward state variables are proved.The control variableis allowed to enter both dif...Both necessary and sufficient maximum principles for optimal control of stochastic systemwith random jumps consisting of forward and backward state variables are proved.The control variableis allowed to enter both diffusion and jump coefficients.The result is applied to a mean-varianceportfolio selection mixed with a recursive utility functional optimization problem.Explicit expressionof the optimal portfolio selection strategy is obtained in the state feedback form.展开更多
Both auto-power spectrum and cross-power spectrum need to be controlled in multi-input multi-output （MIMO） random vibration test. During the control process with the difference control algorithm （DCA）, a lower tri...Both auto-power spectrum and cross-power spectrum need to be controlled in multi-input multi-output （MIMO） random vibration test. During the control process with the difference control algorithm （DCA）, a lower triangular matrix is derived from Cholesky decomposition of a reference spectrum matrix. The diagonal elements of the lower triangular matrix （DELTM） may become negative. These negative values have no meaning in physical significance and can cause divergence of auto-power spectrum control. A proportional root mean square control algorithm （PRMSCA） provides another method to avoid the divergence caused by negative values of DELTM, but PRMSCA cannot control the cross-power spectrum. A new control algorithm named matrix power control algorithm （MPCA） is proposed in the paper. MPCA can guarantee that DELTM is always positive in the auto-power spectrum control. MPCA can also control the cross-power spectrum. After these three control algorithms are analyzed, three-input three-output random vibration control tests are implemented on a three-axis vibration shaker. The results show the validity of the proposed MPCA.展开更多
基金Supported by Specific scientific research fund for doctoral points of higher learning institutions of Education Ministry,20094425110005State natural science fund,30772828+1 种基金Guangdong provincial natural science fund,07004846Project in sci-tech plan of sci-tech department of Guangdong province,2008B030301206
文摘OBJECTIVE:To systematically evaluate the curative effect of acupuncture on post-stroke depression(PSD).METHODS:The internet was used to retrieve the Wanfang Medical Data System,Chinese Periodical Net,the Weipu Information Resources System,PubMed and the Cochrane Library Database.Relevant articles,up to September 2010,were manually retrieved.These papers included studies that had performed random and semi-random control trials for the use of acupuncture to treat PSD.Fifteen random control tests involving 1096 patients were included in this study and individual cases,interventional measures and curative effects were extracted from this research.Grade methodological quality evaluation and meta-analysis were performed on these studies.RESULTS:Comparison between the acupuncture group and the Western medicine group for the curative rate on PSD revealed an OR of 1.48,95% CI = [1.11 1.97] and P=0.008.Comparison of obviously effective rate shows that OR=1.39,95% CI=[1.08 1.80] and P=0.01.Comparison of effective rate showsthatOR=0.83,95%CI=[0.631.09]andP=0.18.CONCLUSION:Comparison between the acupuncture group and Western medicine group in treating PSD revealed that there is a statistical difference in curative rate and remarkably effective rate,but no difference in effective rate.
文摘大规模风电集群功率输出不确定性对接入电网频率造成不利影响,为了使风电集群与传统电源协调配合共同参与系统调频,提出一种基于随机分层分布式模型预测控制(stochastic-hierarchical-distributed model predictive control,S-H-DMPC)的风电集群频率控制机会约束目标滚动规划方法(chance constrained goal rolling programming,CCGRP)。首先,建立考虑功率波动相关性的风电集群功率预测误差模型;其次,提出考虑风电集群功率预测误差随机向量的双层机会约束目标滚动规划方法,上层规划侧重电网拓扑结构及全区系统经济性,下层规划侧重平均系统频率增广模型(average system frequency augmented model,ASFAM)及分区运行安全性;最后,提出基于蒙特卡罗随机模拟的模型求解方法,该方法采用仿射变换算法,通过对风电集群功率预测误差随机向量进行抽样实现机会约束条件的处理。仿真算例表明,所提控制方法能有效提高风电集群参与系统调频的准确性,证明了方法的可行性与鲁棒性。
基金supported by the National Basic Research Program of China (973 Program) under Grant No.2007CB814904the National Natural Science Foundations of China under Grant Nos.10921101 and 10701050the Natural Science Foundation of Shandong Province under Grant Nos.JQ200801 and 2008BS01024
文摘Both necessary and sufficient maximum principles for optimal control of stochastic systemwith random jumps consisting of forward and backward state variables are proved.The control variableis allowed to enter both diffusion and jump coefficients.The result is applied to a mean-varianceportfolio selection mixed with a recursive utility functional optimization problem.Explicit expressionof the optimal portfolio selection strategy is obtained in the state feedback form.
基金National Natural Science Foundation of China （10972104） The Fundamental Research Funds for NUAA（NS2010007）
文摘Both auto-power spectrum and cross-power spectrum need to be controlled in multi-input multi-output （MIMO） random vibration test. During the control process with the difference control algorithm （DCA）, a lower triangular matrix is derived from Cholesky decomposition of a reference spectrum matrix. The diagonal elements of the lower triangular matrix （DELTM） may become negative. These negative values have no meaning in physical significance and can cause divergence of auto-power spectrum control. A proportional root mean square control algorithm （PRMSCA） provides another method to avoid the divergence caused by negative values of DELTM, but PRMSCA cannot control the cross-power spectrum. A new control algorithm named matrix power control algorithm （MPCA） is proposed in the paper. MPCA can guarantee that DELTM is always positive in the auto-power spectrum control. MPCA can also control the cross-power spectrum. After these three control algorithms are analyzed, three-input three-output random vibration control tests are implemented on a three-axis vibration shaker. The results show the validity of the proposed MPCA.
