Objective:A meta-analysis was performed to evaluate the difference of curative effect of Huoxue huayu Chinese medicine compound combined with intervertebral pore lens in the treatment of lumbar disc herniation.Methods...Objective:A meta-analysis was performed to evaluate the difference of curative effect of Huoxue huayu Chinese medicine compound combined with intervertebral pore lens in the treatment of lumbar disc herniation.Methods:CNKI,VIP,CBM,PubMed and Web of Science were searched by computer and included in the clinical trial data about the treatment of lumbar disc herniation by the Huoxue huayu Chinese medicine compound and intervertebral pore lens.Data were extracted and Cochrane system was used to evaluate the quality of the study.Cochrane system in ReMan 5.1 was used to evaluate the publication bias and Stata 12.0 was used for meta analysis.Results:A total of 1039 patients were included in 16 articles,including 519 patients in the treatment group and 520 patients in the control group.The results showed that the total effective rate of the treatment group was higher than that of the control group(RR=1.20,95%CI(1.11,1.30),P<0.05);The excellent rate of the treatment group was higher than that of the control group(RR=1.20,95%CI(1.08,1.32),P<0.05);The JOA score of the treatment group was higher than that of the control group(MD=3.39,95%CI(1.90,4.87),P<0.00001);the VAS score of the treatment group was lower than that of the control group(MD=-1.13,95%CI(-1.84,-0.42),P=0.002);The ODI score of the treatment group was lower than that of the control group[MD=-3.34,95%CI(-4.49,-2.19),P<0.00001].Conclusion:Huoxue huayu Chinese medicine compound and intervertebral pore lens can improve the clinical effect and is worth popularizing.However,due to the poor quality of the literature,more high-quality double-blind randomized controlled trials with large samples are needed.展开更多
This paper develops a fully data-driven,missingdata tolerant method for post-fault short-term voltage stability(STVS)assessment of power systems against the incomplete PMU measurements.The super-resolution perception(...This paper develops a fully data-driven,missingdata tolerant method for post-fault short-term voltage stability(STVS)assessment of power systems against the incomplete PMU measurements.The super-resolution perception(SRP),based on a deep residual learning convolutional neural network,is employed to cope with the missing PMU measurements.The incremental broad learning(BL)is used to rapidly update the model to maintain and enhance the online application performance.Being different from the state-of-the-art methods,the proposed method is fully data-driven and can fill up missing data under any PMU placement information loss and network topology change scenario.Simulation results demonstrate that the proposed method has the best performance in terms of STVS assessment accuracy and missing-data tolerance among the existing methods on the benchmark testing system.展开更多
One battery energy storage system(BESS)can be used to provide different services,such as energy arbitrage(EA)and frequency regulation(FR)support,etc.,which have different revenues and lead to different battery degrada...One battery energy storage system(BESS)can be used to provide different services,such as energy arbitrage(EA)and frequency regulation(FR)support,etc.,which have different revenues and lead to different battery degradation profiles.This paper proposes a whole-lifetime coordinated service strategy to maximize the total operation profit of BESS.A multi-stage battery aging model is developed to characterize the battery aging rates during the whole lifetime.Considering the uncertainty of electricity price in EA service and frequency deviation in FR service,the whole problem is formulated as a twostage stochastic programming problem.At the first stage,the optimal service switching scheme between the EA and FR services are formulated to maximize the expected value of the whole-lifetime operation profit.At the second stage,the output power of BESS in EA service is optimized according to the electricity price in the hourly timescale,whereas the output power of BESS in FR service is directly determined according to the frequency deviation in the second timescale.The above optimization problem is then converted as a deterministic mixed-integer nonlinear programming(MINLP)model with bilinear items.Mc Cormick envelopes and a bound tightening algorithm are used to solve it.Numerical simulation is carried out to validate the effectiveness and advantages of the proposed strategy.展开更多
文摘Objective:A meta-analysis was performed to evaluate the difference of curative effect of Huoxue huayu Chinese medicine compound combined with intervertebral pore lens in the treatment of lumbar disc herniation.Methods:CNKI,VIP,CBM,PubMed and Web of Science were searched by computer and included in the clinical trial data about the treatment of lumbar disc herniation by the Huoxue huayu Chinese medicine compound and intervertebral pore lens.Data were extracted and Cochrane system was used to evaluate the quality of the study.Cochrane system in ReMan 5.1 was used to evaluate the publication bias and Stata 12.0 was used for meta analysis.Results:A total of 1039 patients were included in 16 articles,including 519 patients in the treatment group and 520 patients in the control group.The results showed that the total effective rate of the treatment group was higher than that of the control group(RR=1.20,95%CI(1.11,1.30),P<0.05);The excellent rate of the treatment group was higher than that of the control group(RR=1.20,95%CI(1.08,1.32),P<0.05);The JOA score of the treatment group was higher than that of the control group(MD=3.39,95%CI(1.90,4.87),P<0.00001);the VAS score of the treatment group was lower than that of the control group(MD=-1.13,95%CI(-1.84,-0.42),P=0.002);The ODI score of the treatment group was lower than that of the control group[MD=-3.34,95%CI(-4.49,-2.19),P<0.00001].Conclusion:Huoxue huayu Chinese medicine compound and intervertebral pore lens can improve the clinical effect and is worth popularizing.However,due to the poor quality of the literature,more high-quality double-blind randomized controlled trials with large samples are needed.
基金The work was supported in part by National Natural Science Foundation of China(51807009,71931003,72061147004).
文摘This paper develops a fully data-driven,missingdata tolerant method for post-fault short-term voltage stability(STVS)assessment of power systems against the incomplete PMU measurements.The super-resolution perception(SRP),based on a deep residual learning convolutional neural network,is employed to cope with the missing PMU measurements.The incremental broad learning(BL)is used to rapidly update the model to maintain and enhance the online application performance.Being different from the state-of-the-art methods,the proposed method is fully data-driven and can fill up missing data under any PMU placement information loss and network topology change scenario.Simulation results demonstrate that the proposed method has the best performance in terms of STVS assessment accuracy and missing-data tolerance among the existing methods on the benchmark testing system.
基金partially supported by T-RECs Energy Pte.Ltd.under project(No.04IDS000719N014)。
文摘One battery energy storage system(BESS)can be used to provide different services,such as energy arbitrage(EA)and frequency regulation(FR)support,etc.,which have different revenues and lead to different battery degradation profiles.This paper proposes a whole-lifetime coordinated service strategy to maximize the total operation profit of BESS.A multi-stage battery aging model is developed to characterize the battery aging rates during the whole lifetime.Considering the uncertainty of electricity price in EA service and frequency deviation in FR service,the whole problem is formulated as a twostage stochastic programming problem.At the first stage,the optimal service switching scheme between the EA and FR services are formulated to maximize the expected value of the whole-lifetime operation profit.At the second stage,the output power of BESS in EA service is optimized according to the electricity price in the hourly timescale,whereas the output power of BESS in FR service is directly determined according to the frequency deviation in the second timescale.The above optimization problem is then converted as a deterministic mixed-integer nonlinear programming(MINLP)model with bilinear items.Mc Cormick envelopes and a bound tightening algorithm are used to solve it.Numerical simulation is carried out to validate the effectiveness and advantages of the proposed strategy.
