检索结果-南通市图书馆

The Fourth International Conference on Measurement and Control of Granular Materials

作者： jin feng xu hui shao fuqun wang shi school of information science & engineer,northeastern university wenhua road,heping district,shenyang 110006,p.r.china

Some kinds of capacitance electrode systems are considered for determining the volume fractions of gas/solid two-phase flow.A well known analysis technique called finite element method(FEM)for the calculation of electric field distribution is introduced to simulate the different structures and configurations of the capacitance transducers and investigate the homogeneity of sensitivity *** considered electrode configurations will include surface plates with straight lines including a pair and multi-pair electrodes,staggered surface plates and helical shaped surface plate electrodes,which are also optimized respectively with respect to sensitivity and flow regime independence in order to make a comparison of the above capacitance sensors and find the optimal electrode configuration that insensitive to flow patterns variations.

关键词：

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

The heterogeneity of islet autoantibodies and the progression of islet failure in type 1 diabetic patients

引用

science china(Life sciences) 2016年第9期59卷 930-939,938-939+932-937页

作者： jin Liu Lingling Bian Li Ji Yang Chen Heng Chen Yong Gu Bingqin Ma Wei Gu Xinyu xu Yun shi Jian wang Dalong Zhu Zilin Sun Jianhua Ma hui jin Xing shi Heng Miao Bing Xin Yan Zhu Zhenwen Zhang ruifang Bu Lan xu Guangde shi Wei Tang Wei Li Dongmei Zhou Jun Liang Xingbo Cheng Bimin shi Jixiang Dong Ji Hu Chen Fang shao Zhong Weinan Yu Weiping Lu Chenguang Wu Li Qian Jiancheng Yu Jialin Gao Xiaoqiang Fei Qingqing Zhang xueqin wang shiwei Cui jinluo Cheng Ning xu Guofeng wang Guoqing Han Chunrong xu Yun Xie Minmin An Wei Zhang Zhixiao wang Yun Cai Qi Fu Yu Fu Shuai Zheng Fan Yang Qingfang Hu Hao Dai Yu jin Zheng Zhang Kuanfeng xu Yifan Li Jie Shen Hongwen Zhou Wei He xuqin Zheng Xiao Han Liping Yu jinxiong She Mei Zhang Tao Yang Department of Endocrinology and Metabolism First Affiliated Hospital of Nanjing Medical University Nanjing 210029 China Barbara Davis Center for Childhood Diabetes University of Colorado Denver Aurora Colorado 80045 USA Key Laboratory of Human Functional Genomics of Jiangsu province Nanjing Medical University Nanjing 210000 China Department of Isotopic Laboratory of Nanjing Medical university Nanjing 210000 China HLA Laboratory of Jiangsu province people's Hospital Nanjing 210029 China Department of Endocrinology and Metabolism Nanjing General Hospital of Nanjing Military Command Nanjing 210002 China Department of Endocrinology and Metabolism Nanjing Drum Tower Hospital The Affiliated Hospital of Nanjing University Medical School Nanjing 210008 China Department of Endocrinology and Metabolism Zhongda Hospital Southeast University Nanjing 210009 China Department of Endocrinology and Metabolism Nanjing First Hospital Nanjing 210000 China Department of Endocrinology and Metabolism Nanjing Children's Hospital Nanfing 210008 China Department of Endocrinology and Metabolism The Second Affiliated Hospital of Nanjing Medical University Nanjing 210011 China Department of Endocrinology and Metabolism Nanjing Governmental Hospital Nanjing 210008 China Department of Endocrinology and Metabolism Northern Jiangsu People's Hospital Yangzhou 225001 China Department of Endocrinology and Metabolism Wuxi People's Hospital Wuxi 214023 China Department of Endocrinology and Metabolism Jiangsu Jiangyin People's Hospital Wuxi 214400 China Department of Endocrinology and Metabolism The Affiliated Hospital of Xuzhou Medical College Xuzhou 221006 China Department of Endocrinology and Metabolism Xuzhou Central Hospital Xuzhou 221009 China Department of Endocrinology and Metabolism The First Affiliated Hospital of Soochow University Suzhou 215006 China Department of Endocrinology and Metabolism The Second Affiliated Hospital of Soochow University Suzhou 215004 China Department of Endocri

Type 1 diabetes mellitus is heterogeneous in many facets. The patients suffered from type 1 diabetes present several levels of islet function as well as variable number and type of islet-specific autoantibodies. This study was to investigate prevalence and heterogeneity of the islet autoantibodies and clinical phenotypes of type 1 diabetes mellitus; and also discussed the process of islet failure and its risk factors in Chinese type 1 diabetic patients. A total of 1,291 type 1 diabetic patients were enrolled in this study. Demographic information was collected. Laboratory tests including mixed-meal tolerance test, human leukocyte antigen alleles, hemoglobin A1 c, lipids, thyroid function and islet autoantibodies were conducted. The frequency of islet-specific autoantibody in newly diagnosed T1 DM patients(duration shorter than half year) was 73% in East china. According to binary logistic regressions, autoantibody positivity, longer duration and lower Body Mass Index were the risk factors of islet failure. As the disease developed, autoantibodies against glutamic acid decarboxylase declined as well as the other two autoantibodies against zinc transporter 8 and islet antigen 2. The decrease of autoantibodies was positively correlated with aggressive beta cell destruction. Autoantibodies can facilitate the identification of classic T1 DM from other subtypes and predict the progression of islet failure. As there were obvious heterogeneity in autoantibodies and clinical manifestation in different phenotypes of the disease, we should take more factors into consideration when identifying type 1 diabetes mellitus.

关键词：自身抗体糖尿病异质性胰岛患者衰竭 Logistic回归糖化血红蛋白

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Association of Overlapped and Un-overlapped Comorbidities with COVID-19 Severity and Treatment Outcomes: A retrospective Cohort Study from Nine provinces in china

引用

Biomedical and Environmental sciences 2020年第12期33卷 893-905页

作者： MA Yan ZHU Dong Shan CHEN ren Bo shi Nan Nan LIU Si Hong FAN Yi pin WU Gui hui YANG pu Ye BAI Jiang feng CHEN Hong CHEN Li Ying feng Qiao GUO Tuan Mao HOU Yong HU Gui Fen HU Xiao Mei HU Yun Hong HUANG jin HUANG Qiu Hua HUANG shao Zhen JI Liang jin Hai Hao LEI Xiao LI Chun Yan LI Min Qing LI Qun Tang LI Xian Yong LIU Hong De LIU jin ping LIU Zhang MA Yu Ting MAO Ya MO Liu Fen NA hui wang jing Wei SONG Fang Li SUN Sheng wang Dong Ting wang Ming xuan wang Xiao Yan wang Yin Zhen wang Yu Dong WU Wei WU Lan ping XIAO Yan Hua XIE Hai Jun xu Hong Ming xu Shou Fang xuE rui Xia YANG Chun YANG Kai Jun YUAN Sheng Li ZHANG Gong Qi ZHANG jin Bo ZHANG Lin Song ZHAO Shu Sen ZHAO Wan Ying ZHENG Kai ZHOU Ying Chun ZHU Jun Teng ZHU Tian Qing ZHANG Hua Min wang Yan ping wang Yong Yan 无 Institute of Basic research in Clinical Medicine China Academy of Chinese Medical SciencesBeijing 100700China Centre for Health Management and policy research School of Public HealthCheeloo College of MedicineShandong UniversityJinan 250012ShandongChina Institute of information on Traditional Chinese Medicine China Academy of Chinese Medical SciencesBeijing 100700China Department of Tuberculosis The Public Health Clinical Center of ChengduChengdu 610066SichuanChina Department of Infectious Disease Shaanxi Infectious Disease HospitalXi'an 610113ShaanxiChina Department of Infectious Disease Yulin Chinese Medicine HospitalYulin 719000ShaanxiChina president's Office The First Hospital of QiqiharQiqihar 161005HeilongjiangChina Department of Traditional Chinese Medicine Shangluo Central HospitalShangluo 726000ShaanxiChina Department of Traditional Chinese Medicine The People's Hospital of QitaiheQitaihe 154603HeilongjiangChina Department of Scientific research Xianyang Central HospitalXianyang 712000ShaanxiChina Department of traditional Chinese medicine The First Affiliated Hospital of Anhui University of Traditional Chinese MedicineHefei 230012AnhuiChina Department of Infectious Disease Heping Hospital Affiliated to Changzhi Medical CollegeChangzhi 046000ShanxiChina Department of Traditional Chinese Medicine Langfang Hospital of Chinese MedicineLangfang 065000HeibeiChina Department of Traditional Chinese Medicine Xingtai Hospital of Chinese MedicineXingtai 054001HeibeiChina Department of Traditional Chinese Medicine The People's Hospital of Guangxi Zhuang Autonomous RegionNanning 168600GuangxiChina Department of Traditional Chinese Medicine The First People'sHospital of FangchenggangFangchenggang 538001GuangxiChina Department of Traditional Chinese Medicine Mianyang Hospital of Traditional Chinese MedicineMianyang 621000SichuanChina Department of Traditional Chinese Medicine Liuzhou People's HospitalLiuzhou 545006GansuChina Department of Traditional Chinese Medici

Objective Several COVID-19 patients have overlapping comorbidities. The independent role of each component contributing to the risk of COVID-19 is unknown, and how some non-cardiometabolic comorbidities affect the risk of COVID-19 remains *** A retrospective follow-up design was adopted. A total of 1,160 laboratory-confirmed patients were enrolled from nine provinces in china. Data on comorbidities were obtained from the patients’ medical records. Multivariable logistic regression models were used to estimate the odds ratio(Or) and 95% confidence interval(95% CI) of the associations between comorbidities(cardiometabolic or non-cardiometabolic diseases), clinical severity, and treatment outcomes of *** Overall, 158(13.6%) patients were diagnosed with severe illness and 32(2.7%) had unfavorable outcomes. Hypertension(2.87, 1.30–6.32), type 2 diabetes(T2 DM)(3.57, 2.32–5.49),cardiovascular disease(CVD)(3.78, 1.81–7.89), fatty liver disease(7.53, 1.96–28.96), hyperlipidemia(2.15, 1.26–3.67), other lung diseases(6.00, 3.01–11.96), and electrolyte imbalance(10.40, 3.00–26.10)were independently linked to increased odds of being severely ill. T2 DM(6.07, 2.89–12.75), CVD(8.47,6.03–11.89), and electrolyte imbalance(19.44, 11.47–32.96) were also strong predictors of unfavorable outcomes. Women with comorbidities were more likely to have severe disease on admission(5.46,3.25–9.19), while men with comorbidities were more likely to have unfavorable treatment outcomes(6.58, 1.46–29.64) within two *** Besides hypertension, diabetes, and CVD, fatty liver disease, hyperlipidemia, other lung diseases, and electrolyte imbalance were independent risk factors for COVID-19 severity and poor treatment outcome. Women with comorbidities were more likely to have severe disease, while men with comorbidities were more likely to have unfavorable treatment outcomes.

关键词： Comorbidities COVID-19 Severity Gender Age Treatment outcome

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：