This study aimed to assess the association between psychological disorders and erectile dysfunction(ED)in patients with different degrees of chronic prostatitis/chronic pelvic pain syndrome(CP/CPPS).This was a retrosp...This study aimed to assess the association between psychological disorders and erectile dysfunction(ED)in patients with different degrees of chronic prostatitis/chronic pelvic pain syndrome(CP/CPPS).This was a retrospective study conducted from June 2017 to October 2019 and included 182 outpatients.Patients were interviewed using the Structured Interview on Erectile Dysfunction(SIEDY)for pathogenic quantification.The National Institutes of Health-Chronic Prostatitis Symptom Index(NIH-CPSI)and the International Index of Erectile Function-5(IIEF-5)were used for the evaluation of CP/CPPS and ED.The Generalized Anxiety Disorder-7(GAD-7)and Patient Health Questionnaire-9(PHQ-9)were used to assess anxiety symptoms and depressive symptoms.The number of patients with mild CP/CPPS and mild ED,mild CP/CPPS and moderate-to-severe ED,moderate-to-severe CP/CPPS and mild ED,and moderate-to-severe CP/CPPS and moderate-to-severe ED was 69(37.9%),36(19.8%),35(19.2%),and 42(23.1%),respectively.The corresponding PHQ-9 scores of the four groups were 6.22,7.19,10.69,and 7.71,respectively.The corresponding GAD-7 scores of the four groups were 5.26,6.31,8.77,and 6.36,respectively.Among patients with moderate-to-severe CP/CPPS,the PHQ-9 and GAD-7 scores of the moderate-to-severe ED group were significantly lower than those of the mild ED group(P=0.007 and P=0.010,respectively).The prevalence of ED and premature ejaculation(PE)in patients with moderate-to-severe CP/CPPS was significantly higher than that in patients with mild CP/CPPS(P=0.001 and P=0.024,respectively).Our findings proved that the severity of ED was negatively associated with psychological symptoms in outpatients with moderate-to-severe CP/CPPS.展开更多
Aim at the defects of easy to fall into the local minimum point and the low convergence speed of back propagation（BP）neural network in the gesture recognition, a new method that combines the chaos algorithm with the...Aim at the defects of easy to fall into the local minimum point and the low convergence speed of back propagation（BP）neural network in the gesture recognition, a new method that combines the chaos algorithm with the genetic algorithm（CGA） is proposed. According to the ergodicity of chaos algorithm and global convergence of genetic algorithm, the basic idea of this paper is to encode the weights and thresholds of BP neural network and obtain a general optimal solution with genetic algorithm, and then the general optimal solution is optimized to the accurate optimal solution by adding chaotic disturbance. The optimal results of the chaotic genetic algorithm are used as the initial weights and thresholds of the BP neural network to recognize the gesture. Simulation and experimental results show that the real-time performance and accuracy of the gesture recognition are greatly improved with CGA.展开更多
基金the Fundamental Research Funds for the Central.Universities of Central South University(20191039 to ZCL)the National Natural Science of China(81570627 to ZYT)+1 种基金the Natural Science Foundation of Hunan Province,China(2020115906 to DIL)the China Postdoctoral Science Foundation(2020M670107ZX to DJL).
文摘This study aimed to assess the association between psychological disorders and erectile dysfunction(ED)in patients with different degrees of chronic prostatitis/chronic pelvic pain syndrome(CP/CPPS).This was a retrospective study conducted from June 2017 to October 2019 and included 182 outpatients.Patients were interviewed using the Structured Interview on Erectile Dysfunction(SIEDY)for pathogenic quantification.The National Institutes of Health-Chronic Prostatitis Symptom Index(NIH-CPSI)and the International Index of Erectile Function-5(IIEF-5)were used for the evaluation of CP/CPPS and ED.The Generalized Anxiety Disorder-7(GAD-7)and Patient Health Questionnaire-9(PHQ-9)were used to assess anxiety symptoms and depressive symptoms.The number of patients with mild CP/CPPS and mild ED,mild CP/CPPS and moderate-to-severe ED,moderate-to-severe CP/CPPS and mild ED,and moderate-to-severe CP/CPPS and moderate-to-severe ED was 69(37.9%),36(19.8%),35(19.2%),and 42(23.1%),respectively.The corresponding PHQ-9 scores of the four groups were 6.22,7.19,10.69,and 7.71,respectively.The corresponding GAD-7 scores of the four groups were 5.26,6.31,8.77,and 6.36,respectively.Among patients with moderate-to-severe CP/CPPS,the PHQ-9 and GAD-7 scores of the moderate-to-severe ED group were significantly lower than those of the mild ED group(P=0.007 and P=0.010,respectively).The prevalence of ED and premature ejaculation(PE)in patients with moderate-to-severe CP/CPPS was significantly higher than that in patients with mild CP/CPPS(P=0.001 and P=0.024,respectively).Our findings proved that the severity of ED was negatively associated with psychological symptoms in outpatients with moderate-to-severe CP/CPPS.
基金supported by Natural Science Foundation of Heilongjiang Province Youth Fund(No.QC2014C054)Foundation for University Young Key Scholar by Heilongjiang Province(No.1254G023)the Science Funds for the Young Innovative Talents of HUST(No.201304)
文摘Aim at the defects of easy to fall into the local minimum point and the low convergence speed of back propagation（BP）neural network in the gesture recognition, a new method that combines the chaos algorithm with the genetic algorithm（CGA） is proposed. According to the ergodicity of chaos algorithm and global convergence of genetic algorithm, the basic idea of this paper is to encode the weights and thresholds of BP neural network and obtain a general optimal solution with genetic algorithm, and then the general optimal solution is optimized to the accurate optimal solution by adding chaotic disturbance. The optimal results of the chaotic genetic algorithm are used as the initial weights and thresholds of the BP neural network to recognize the gesture. Simulation and experimental results show that the real-time performance and accuracy of the gesture recognition are greatly improved with CGA.
