目的:探究单纯疱疹病毒(HSV)感染后脑脊液(CSF)中S100B、Cys-C、MMP-9水平对自身免疫性脑炎(AE)的预测价值。方法:选取2016年1月至2021年3月河北中石油中心医院收治的200例HSV感染患者为研究对象,根据是否继发AE分为研究组(继发AE,35例...目的:探究单纯疱疹病毒(HSV)感染后脑脊液(CSF)中S100B、Cys-C、MMP-9水平对自身免疫性脑炎(AE)的预测价值。方法:选取2016年1月至2021年3月河北中石油中心医院收治的200例HSV感染患者为研究对象,根据是否继发AE分为研究组(继发AE,35例)和对照组(未继发AE,165例)。多因素Logistic回归分析HSV感染患者继发AE的独立影响因素。Spearman法分析脑脊液中Cys-C、MMP-9与S100B水平的相关性。受试者工作特征(ROC)曲线分析S100B、Cys-C、MMP-9对AE的预测价值。构建风险预测模型并进行评价。结果:多因素Logistic回归分析显示,MRI异常、脑脊液S100B、MMP-9升高、EEG异常是HSV感染患者继发AE的独立危险因素,脑脊液Cys-C是其保护因素(P<0.05)。Spearman分析显示,HSV感染患者Cys-C浓度与S100B水平呈负相关(r=-0.83,P<0.05),MMP-9浓度与S100B水平呈正相关(r=0.88,P<0.05)。构建的联合预测因子pre1诊断HSV患者继发AE的AUC明显大于S100B、Cys-C、MMP-9单独预测的AUC(0.876 vs 0.827、0.787、0.750)。构建的风险预测模型具有良好的区分度和一致性。结论:脑脊液中S100B、Cys-C、MMP-9水平均可对HSV感染患者诱发AE的可能性进行有效预测,且三项指标联合预测价值最大,其次是S100B蛋白、Cys-C、MMP-9。展开更多
A fuzzy sliding-mode control (FSMC) scheme based on T-S fuzzy models was proposed for the permanent magnet synchronous motor (PMSM) drive system to solve the speed tracking problem. A T-S fuzzy model was firstly forme...A fuzzy sliding-mode control (FSMC) scheme based on T-S fuzzy models was proposed for the permanent magnet synchronous motor (PMSM) drive system to solve the speed tracking problem. A T-S fuzzy model was firstly formed to represent the nonlinear system of PMSM. For converting the tracking control into a stabilization problem, a new control design was proposed to define the internal desired states. Then, the FSMC controller for PMSM system with parameter variation and load disturbance was designed based on the fuzzy model. The performance of the proposed controller was verified by experimental results on PMSM system. The results show that the FSMC scheme can drive the dynamics of PMSM into a designated sliding surface in finite time and guarantee the property of asymptotical stability. The information of upper bound of modeling errors as well as perturbations is not required when using the FSMC controller.展开更多
In order to apply the performance-based seismic design, an engineer must first find out whether the column is expected to fail in shear before or after flexural yielding. According to column failure characteristics an...In order to apply the performance-based seismic design, an engineer must first find out whether the column is expected to fail in shear before or after flexural yielding. According to column failure characteristics and failure mode of reinforced concrete column, the UW-PEER structure performance database was discussed and analyzed. In order to investigate the relevance of failure mode and factors such as longitudinal reinforcement ratio, transverse reinforcement ratio, hoop spacing to depth ratio, aspect ratio, shearing resistance demand to shear capacity ratio and axial load ratio, Fisher's discriminant analysis(FDA) of the above factors was carried out. A discriminant function was developed to identify column failure mode. Results show that three factors, i.e., Vp /Vn, hoop spacing to depth ratio and aspect ratio have important influence on the failure mode. The failure mode has less to do with longitudinal reinforcement ratio, transverse reinforcement ratio and axial load ratio. Through using these three factors and the model proposed, over 85.6% of the original grouped cases were correctly classified. The value of coefficient of Vp /Vn is the largest, which means that discriminant equation is most sensitive to the shearing resistance demand to shear capacity ratio.展开更多
文摘目的:探究单纯疱疹病毒(HSV)感染后脑脊液(CSF)中S100B、Cys-C、MMP-9水平对自身免疫性脑炎(AE)的预测价值。方法:选取2016年1月至2021年3月河北中石油中心医院收治的200例HSV感染患者为研究对象,根据是否继发AE分为研究组(继发AE,35例)和对照组(未继发AE,165例)。多因素Logistic回归分析HSV感染患者继发AE的独立影响因素。Spearman法分析脑脊液中Cys-C、MMP-9与S100B水平的相关性。受试者工作特征(ROC)曲线分析S100B、Cys-C、MMP-9对AE的预测价值。构建风险预测模型并进行评价。结果:多因素Logistic回归分析显示,MRI异常、脑脊液S100B、MMP-9升高、EEG异常是HSV感染患者继发AE的独立危险因素,脑脊液Cys-C是其保护因素(P<0.05)。Spearman分析显示,HSV感染患者Cys-C浓度与S100B水平呈负相关(r=-0.83,P<0.05),MMP-9浓度与S100B水平呈正相关(r=0.88,P<0.05)。构建的联合预测因子pre1诊断HSV患者继发AE的AUC明显大于S100B、Cys-C、MMP-9单独预测的AUC(0.876 vs 0.827、0.787、0.750)。构建的风险预测模型具有良好的区分度和一致性。结论:脑脊液中S100B、Cys-C、MMP-9水平均可对HSV感染患者诱发AE的可能性进行有效预测,且三项指标联合预测价值最大,其次是S100B蛋白、Cys-C、MMP-9。
基金Project (60835004) supported by the National Natural Science Foundation of China
文摘A fuzzy sliding-mode control (FSMC) scheme based on T-S fuzzy models was proposed for the permanent magnet synchronous motor (PMSM) drive system to solve the speed tracking problem. A T-S fuzzy model was firstly formed to represent the nonlinear system of PMSM. For converting the tracking control into a stabilization problem, a new control design was proposed to define the internal desired states. Then, the FSMC controller for PMSM system with parameter variation and load disturbance was designed based on the fuzzy model. The performance of the proposed controller was verified by experimental results on PMSM system. The results show that the FSMC scheme can drive the dynamics of PMSM into a designated sliding surface in finite time and guarantee the property of asymptotical stability. The information of upper bound of modeling errors as well as perturbations is not required when using the FSMC controller.
基金Project(2011ZA05) supported by the State Key Laboratory’s Autonomous Project of Subtropical Building Science in South China University of Technology
文摘In order to apply the performance-based seismic design, an engineer must first find out whether the column is expected to fail in shear before or after flexural yielding. According to column failure characteristics and failure mode of reinforced concrete column, the UW-PEER structure performance database was discussed and analyzed. In order to investigate the relevance of failure mode and factors such as longitudinal reinforcement ratio, transverse reinforcement ratio, hoop spacing to depth ratio, aspect ratio, shearing resistance demand to shear capacity ratio and axial load ratio, Fisher's discriminant analysis(FDA) of the above factors was carried out. A discriminant function was developed to identify column failure mode. Results show that three factors, i.e., Vp /Vn, hoop spacing to depth ratio and aspect ratio have important influence on the failure mode. The failure mode has less to do with longitudinal reinforcement ratio, transverse reinforcement ratio and axial load ratio. Through using these three factors and the model proposed, over 85.6% of the original grouped cases were correctly classified. The value of coefficient of Vp /Vn is the largest, which means that discriminant equation is most sensitive to the shearing resistance demand to shear capacity ratio.
