OBJECTIVE: To investigate Traditional Chinese Medicine(TCM) constitutions of youths in colleges,and their physical and mental health conditions of different TCM constitutions, so as to provide a theoretical basis for ...OBJECTIVE: To investigate Traditional Chinese Medicine(TCM) constitutions of youths in colleges,and their physical and mental health conditions of different TCM constitutions, so as to provide a theoretical basis for the TCM way to improve young people's physical and mental health.METHODS: The Standard TCM Constitutions' Classification and Determination Questionnaire was used to measure the body health condition, and the Symptom Checklist 90 Questionnaire and the Questionnaire of the National Student Physical Health Standards were used to determine mental and physical health conditions respectively in 1421 young participants validly answering the questionnaires in Zhejiang Province.RESULTS: The participants had a mean age of 19.96years(SD = 0.95 years) with the majority of females(55.10%). One fourth of the 1421 participants were the Ping-he constitution and others were the tendency constitutions. Participants with Ping-he module(which has characteristics of moderate posture,rosy, energetic and is a healthy condition in TCM)were healthier than those with tendency constitutions in physical and mental health, with 65.81 ±7.83(men) and 77.99 ± 7.24(women) scores in the physical test and around 1.25 scores in the mental health test. College students with combined biased constitutions were more likely suffer force, sensitive, depression and anxiety.CONCLUSION: Most of college students have a tendency or biased constitution which could be more likely to suffer suboptimal health status and diseases. Youths in college themselves and health providers should pay more attention to their potential health issues and make proper healthcare plan according to their own TCM constitution.展开更多
Background:Delayed graft function(DGF)is the main cause of renal function failure after kidney transplantation.This study aims at investigating the value of hypothermic machine perfusion(HMP)parameters combined with p...Background:Delayed graft function(DGF)is the main cause of renal function failure after kidney transplantation.This study aims at investigating the value of hypothermic machine perfusion(HMP)parameters combined with perfusate biomarkers on predicting DGF and the time of renal function recovery after deceased donor(DD)kidney transplantation.Methods:HMP parameters,perfusate biomarkers and baseline characteristics of 113 DD kidney transplantations from January 1,2019 to August 31,2019 in the First Affiliated Hospital of Xi’an Jiaotong University were retrospectively analyzed using univariate and multivariate logistic regression analysis.Results:In this study,the DGF incidence was 17.7%(20/113);The multivariate logistic regression results showed that terminal resistance(OR:1.879,95%CI 1.145-3.56)and glutathione S-transferase(GST)(OR=1.62,95%CI 1.23-2.46)were risk factors for DGF;The Cox model analysis indicated that terminal resistance was an independent hazard factor for renal function recovery time(HR=0.823,95%CI 0.735-0.981).The model combining terminal resistance and GST(AUC=0.888,95%CI:0.842-0.933)significantly improved the DGF predictability compared with the use of terminal resistance(AUC=0.756,95%CI 0.693-0.818)or GST alone(AUC=0.729,95%CI 0.591-0.806).Conclusion:According to the factors analyzed in this study,the combination of HMP parameters and perfusate biomarkers displays a potent DGF predictive value.展开更多
<div style="text-align:justify;"> This paper proposes a prediction method based on improved Echo State Network for COVID-19 nonlinear time series, which improves the Echo State Network from the reservo...<div style="text-align:justify;"> This paper proposes a prediction method based on improved Echo State Network for COVID-19 nonlinear time series, which improves the Echo State Network from the reservoir topology and the output weight matrix, and adopt the ABC (Artificial Bee Colony) algorithm based on crossover and crowding strategy to optimize the parameters. Finally, the proposed method is simulated and the results show that it has stronger prediction ability for COVID-19 nonlinear time series. </div>展开更多
神经内分泌肿瘤属于少见肿瘤,发病率低,异质性强,可发生于全身多个器官。在中国,胃肠胰是神经内分泌肿瘤发病率最高的部位,自2017年世界卫生组织(World Health Organization,WHO)消化系统肿瘤病理学分类关于胃肠胰神经内分泌肿瘤提出分...神经内分泌肿瘤属于少见肿瘤,发病率低,异质性强,可发生于全身多个器官。在中国,胃肠胰是神经内分泌肿瘤发病率最高的部位,自2017年世界卫生组织(World Health Organization,WHO)消化系统肿瘤病理学分类关于胃肠胰神经内分泌肿瘤提出分化好的神经内分泌瘤G3(neuroendocrine tumor G3,NET G3)的概念后,分化好的NET G3的相关研究日益增多。对分化好的胃肠胰NET G3的诊治新进展进行综述。展开更多
基金Supported by Research on Promoting College Students'Physical and Mental Health and Social Adaptability by Sports Curriculum from the Department of Education of Zhejiang Province(No.Y201016155)
文摘OBJECTIVE: To investigate Traditional Chinese Medicine(TCM) constitutions of youths in colleges,and their physical and mental health conditions of different TCM constitutions, so as to provide a theoretical basis for the TCM way to improve young people's physical and mental health.METHODS: The Standard TCM Constitutions' Classification and Determination Questionnaire was used to measure the body health condition, and the Symptom Checklist 90 Questionnaire and the Questionnaire of the National Student Physical Health Standards were used to determine mental and physical health conditions respectively in 1421 young participants validly answering the questionnaires in Zhejiang Province.RESULTS: The participants had a mean age of 19.96years(SD = 0.95 years) with the majority of females(55.10%). One fourth of the 1421 participants were the Ping-he constitution and others were the tendency constitutions. Participants with Ping-he module(which has characteristics of moderate posture,rosy, energetic and is a healthy condition in TCM)were healthier than those with tendency constitutions in physical and mental health, with 65.81 ±7.83(men) and 77.99 ± 7.24(women) scores in the physical test and around 1.25 scores in the mental health test. College students with combined biased constitutions were more likely suffer force, sensitive, depression and anxiety.CONCLUSION: Most of college students have a tendency or biased constitution which could be more likely to suffer suboptimal health status and diseases. Youths in college themselves and health providers should pay more attention to their potential health issues and make proper healthcare plan according to their own TCM constitution.
基金This work was supported by the grants from the National Natural Science Foundation of China(Nos.81670681,81760137,81870514,81970668 and 81970670)the Fundamental Research Funds for the Central Universities(No.xjj2018091)+1 种基金the Clinical Research Award of the First Affiliated Hospital of Xi’an Jiaotong University(No.XJTU1AF-CRF-2019-008)the Special Supportive Program for Organ Transplantation by COTDF(No.2019JYJH04).
文摘Background:Delayed graft function(DGF)is the main cause of renal function failure after kidney transplantation.This study aims at investigating the value of hypothermic machine perfusion(HMP)parameters combined with perfusate biomarkers on predicting DGF and the time of renal function recovery after deceased donor(DD)kidney transplantation.Methods:HMP parameters,perfusate biomarkers and baseline characteristics of 113 DD kidney transplantations from January 1,2019 to August 31,2019 in the First Affiliated Hospital of Xi’an Jiaotong University were retrospectively analyzed using univariate and multivariate logistic regression analysis.Results:In this study,the DGF incidence was 17.7%(20/113);The multivariate logistic regression results showed that terminal resistance(OR:1.879,95%CI 1.145-3.56)and glutathione S-transferase(GST)(OR=1.62,95%CI 1.23-2.46)were risk factors for DGF;The Cox model analysis indicated that terminal resistance was an independent hazard factor for renal function recovery time(HR=0.823,95%CI 0.735-0.981).The model combining terminal resistance and GST(AUC=0.888,95%CI:0.842-0.933)significantly improved the DGF predictability compared with the use of terminal resistance(AUC=0.756,95%CI 0.693-0.818)or GST alone(AUC=0.729,95%CI 0.591-0.806).Conclusion:According to the factors analyzed in this study,the combination of HMP parameters and perfusate biomarkers displays a potent DGF predictive value.
文摘<div style="text-align:justify;"> This paper proposes a prediction method based on improved Echo State Network for COVID-19 nonlinear time series, which improves the Echo State Network from the reservoir topology and the output weight matrix, and adopt the ABC (Artificial Bee Colony) algorithm based on crossover and crowding strategy to optimize the parameters. Finally, the proposed method is simulated and the results show that it has stronger prediction ability for COVID-19 nonlinear time series. </div>
