Background： While depression and certain cardiac biomarkers are associated with acute myocardial infarction （AM1）, the relationship between them remains largely unexplored. We examined the association between depre...Background： While depression and certain cardiac biomarkers are associated with acute myocardial infarction （AM1）, the relationship between them remains largely unexplored. We examined the association between depressive symptoms and biomarkers in patients with AMI. Methods： We performed a cross-sectional study using data from 103 patients with AM1 between March 2013 and September 2014. The levels of depression, N-terminal proB-type natriuretic peptide （NT-proBNP）, and troponin 1 （Tnl） were measured at baseline. The patients were divided into two groups： those with depressive symptolns and those without depressive symptoms according to Zung Self-rating Depression Scale （SDS） score. Baseline comparisons between two groups were made using Student＇s t-test for continuous variables, Chi-square or Fisher＇s exact test for categorical variables, and Wilcoxon test for variables in skewed distribution. Binomial logistic regression and multivariate linear regression were performed to assess the association between depressive symptoms and biomarkers while adjusting for demographic and clinical variables. Results： Patients with depressive symptoms had significantly higher NT-proBNP levels as compared to patients without depressive symptoms （ 1135.0 [131.5, 2474.0] vs. 384.0 [ 133.0, 990.0], Z = -2.470, P 0.013）. Depressive symptoms were associated with higher NT-proBNP levels （odds ratio [OR] 2.348, 95% CI： 1.344 to 4.103, P= 0.003） and higher body mass index （OR = 1.169, 95% confidence interval [CI]： 1.016 to 1.345, P = 0.029）. The total SDS score was associated with the NT-proBNP level （[3 ： 0.327, 95% CI：1.674 to 6.119, P = 0.001） after multivariable adjustment. In particular, NT-proBNP was associated with three of the depressive dimensions, including core depression （β = 0.299, 95% CI：0.551 to 2.428, P=0.002）, cognitive depression （β= 0.320, 95% CI：0.476 to 1.811, P=0.001）, and somatic depression （β= 0.333, 95% CI： 0.240 to 0.847, P = 0.001）. Neither the overall depressive symptomatology nor the individual depressive dimensions were associated with TnI levels. Conclusions： Depressive symptoms, especially core depression, cognitive depression, and somatic depression, were related to high NT-proBNP levels in patients with AMI.展开更多
Based on field survey and research of Hanzhong, relocation of Nanzheng County was explored and the existing problems were analyzed. Furthermore, the re- gional characters of Nanzheng County were investigated to analyz...Based on field survey and research of Hanzhong, relocation of Nanzheng County was explored and the existing problems were analyzed. Furthermore, the re- gional characters of Nanzheng County were investigated to analyze the feasibility and necessity of relocation with lots of data and evaluation was made on relocation of Nanzheng County. In addition, the existing problems of relocation were concluded and the prospect of the county was discussed, which is of significance for relocation in Nanzheng County and even southern Shaanxi Province.展开更多
最小均方(least mean square,LMS)算法在时变信道的最小稳态均方偏差(mean square deviation,MSD)由输入功率、噪声功率、随机扰动信号功率以及滤波器长度共同决定。为达到系统中最小的MSD值,传统的LMS算法存在有迭代次数较多和收敛速...最小均方(least mean square,LMS)算法在时变信道的最小稳态均方偏差(mean square deviation,MSD)由输入功率、噪声功率、随机扰动信号功率以及滤波器长度共同决定。为达到系统中最小的MSD值,传统的LMS算法存在有迭代次数较多和收敛速度慢等问题,提出了一种多态可变步长最小均方(multi-state variable step size least mean square,MVSS-LMS)算法。该算法通过添加暂态递减步长作为过渡,实现以更快的收敛速度达到系统中最小的MSD值。理论分析与仿真结果表明,与目前最新的Prob-LMS算法相比,所提算法在时变信道以及突变信道都具有更快的收敛速度和更低的MSD值,且算法的复杂度更低。展开更多
基金This study was supported by grants from the National Natural Science Foundation of China （No. 81172774, and No. 31371336）.
文摘Background： While depression and certain cardiac biomarkers are associated with acute myocardial infarction （AM1）, the relationship between them remains largely unexplored. We examined the association between depressive symptoms and biomarkers in patients with AMI. Methods： We performed a cross-sectional study using data from 103 patients with AM1 between March 2013 and September 2014. The levels of depression, N-terminal proB-type natriuretic peptide （NT-proBNP）, and troponin 1 （Tnl） were measured at baseline. The patients were divided into two groups： those with depressive symptolns and those without depressive symptoms according to Zung Self-rating Depression Scale （SDS） score. Baseline comparisons between two groups were made using Student＇s t-test for continuous variables, Chi-square or Fisher＇s exact test for categorical variables, and Wilcoxon test for variables in skewed distribution. Binomial logistic regression and multivariate linear regression were performed to assess the association between depressive symptoms and biomarkers while adjusting for demographic and clinical variables. Results： Patients with depressive symptoms had significantly higher NT-proBNP levels as compared to patients without depressive symptoms （ 1135.0 [131.5, 2474.0] vs. 384.0 [ 133.0, 990.0], Z = -2.470, P 0.013）. Depressive symptoms were associated with higher NT-proBNP levels （odds ratio [OR] 2.348, 95% CI： 1.344 to 4.103, P= 0.003） and higher body mass index （OR = 1.169, 95% confidence interval [CI]： 1.016 to 1.345, P = 0.029）. The total SDS score was associated with the NT-proBNP level （[3 ： 0.327, 95% CI：1.674 to 6.119, P = 0.001） after multivariable adjustment. In particular, NT-proBNP was associated with three of the depressive dimensions, including core depression （β = 0.299, 95% CI：0.551 to 2.428, P=0.002）, cognitive depression （β= 0.320, 95% CI：0.476 to 1.811, P=0.001）, and somatic depression （β= 0.333, 95% CI： 0.240 to 0.847, P = 0.001）. Neither the overall depressive symptomatology nor the individual depressive dimensions were associated with TnI levels. Conclusions： Depressive symptoms, especially core depression, cognitive depression, and somatic depression, were related to high NT-proBNP levels in patients with AMI.
基金Supported by the Fundamental Research Funds for the Central Universities(GK261002145)Key Teaching Reform Research of Shaanxi Normal University in 2014(14JG07)Teacher Education Program of Shaanxi Normal University in 2014(JSJY2014J014)~~
文摘Based on field survey and research of Hanzhong, relocation of Nanzheng County was explored and the existing problems were analyzed. Furthermore, the re- gional characters of Nanzheng County were investigated to analyze the feasibility and necessity of relocation with lots of data and evaluation was made on relocation of Nanzheng County. In addition, the existing problems of relocation were concluded and the prospect of the county was discussed, which is of significance for relocation in Nanzheng County and even southern Shaanxi Province.
文摘最小均方(least mean square,LMS)算法在时变信道的最小稳态均方偏差(mean square deviation,MSD)由输入功率、噪声功率、随机扰动信号功率以及滤波器长度共同决定。为达到系统中最小的MSD值,传统的LMS算法存在有迭代次数较多和收敛速度慢等问题,提出了一种多态可变步长最小均方(multi-state variable step size least mean square,MVSS-LMS)算法。该算法通过添加暂态递减步长作为过渡,实现以更快的收敛速度达到系统中最小的MSD值。理论分析与仿真结果表明,与目前最新的Prob-LMS算法相比,所提算法在时变信道以及突变信道都具有更快的收敛速度和更低的MSD值,且算法的复杂度更低。
