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15篇 您的检索式:作者名="Nie Junhong"
    题名 作者 年代 出处 被引量
1Biomarkers of aging显示文摘Aging biomarkers are a combination of biological parameters to(i)assess age-related changes,(ii)track the physiological aging process,and(iii)predict the transition into a pathological status.Although a broad spectrum of aging biomarkers has been developed,their potential uses and limitations remain poorly characterized.An immediate goal of biomarkers is to help us answer the following three fundamental questions in aging research:How old are we?Why do we get old?And how can we age slower?This review aims to address this need.Here,we summarize our current knowledge of biomarkers developed for cellular,organ,and organismal levels of aging,comprising six pillars:physiological characteristics,medical imaging,histological features,cellular alterations,molecular changes,and secretory factors.To fulfill all these requisites,we propose that aging biomarkers should qualify for being specific,systemic,and clinically relevant.Aging Biomarker Consortium Hainan Bao Jiani Cao Mengting Chen Min Chen Wei Chen Xiao Chen Yanhao Chen Yu Chen Yutian Chen Zhiyang Chen Jagadish K Chhetri Yingjie Ding Junlin Feng Jun Guo Mengmeng Guo Chuting He Yujuan Jia Haiping Jiang Ying Jing Dingfeng Li Jiaming Li Jingyi Li Qinhao Liang Rui Liang Feng Liu Xiaoqian Liu Zuojun Liu Oscar Junhong Luo Jianwei Lv Jingyi Ma Kehang Mao Jiawei Nie Xinhua Qiao Xinpei Sun Xiaoqiang Tang Jianfang Wang Qiaoran Wang Siyuan Wang Xuan Wang Yaning Wang Yuhan Wang Rimo Wu Kai Xia Fu-Hui Xiao Lingyan Xu Yingying Xu Haoteng Yan Liang Yang Ruici Yang Yuanxin Yang Yilin Ying Le Zhang Weiwei Zhang Wenwan Zhang Xing Zhang Zhuo Zhang Min Zhou Rui Zhou Qingchen Zhu Zhengmao Zhu Feng Cao Zhongwei Cao Piu Chan Chang Chen Guobing Chen Hou-Zao Chen Jun Chen Weimin Ci Bi-Sen Ding Qiurong Ding Feng Gao Jing-Dong JHan Kai Huang Zhenyu Ju Qing-Peng Kong Ji Li Jian Li Xin Li Baohua Liu Feng Liu Lin Liu Qiang Liu Qiang Liu Xingguo Liu Yong Liu Xianghang Luo Shuai Ma Xinran Ma Zhiyong Mao Jing Nie Yaojin Peng Jing Qu Jie Ren Ruibao Ren Moshi Song Zhou Songyang Yi Eve Sun Yu Sun Mei Tian Shusen Wang Si Wang Xia Wang Xiaoning Wang Yan-Jiang Wang Yunfang Wang Catherine CL Wong Andy Peng Xiang Yichuan Xiao Zhengwei Xie Daichao Xu Jing Ye Rui Yue Cuntai Zhang Hongbo Zhang Liang Zhang Weiqi Zhang Yong Zhang Yun-Wu Zhang Zhuohua Zhang Tongbiao Zhao Yuzheng Zhao Dahai Zhu Weiguo Zou Gang Pei Guang-Hui Liu 2023Science China(Life Sciences)2023,66,5:2
2Learning Control Using Fuzzifield Self-Organizing Radial Basis Function Network 显示文摘Junhong Nie D A Linkens 1993IEEE Transactions on Fuzzy Systems1993,1,4:1
3Fast Self-learning Multivariable Fuzzy Controller From A Modified CPN Network显示文摘 Linkens D A 1994International Journal Of Control1994,60,:1
4FCMAC:a Fuzzified Cerebellar Model Articulation Controller with Self-organizing Capacity显示文摘Junhong Nie 1994Automatica (S0005-1098)1994,30,4:1
5Colloidal Gold-Based Immunochromatographic Test Strip for Rapid Detection of Abrin in Food Samples显示文摘Gao Shan Nie Chong Wang Junhong 2012Journal of Food Protection2012,75,1:1
6A note on the integration of fuzzy systems with neural networks under a TLTr framwork 显示文摘Junhong Nie Lee T M Linkens D A 1997Fuzzy Sets and Systems1997,87,3:1
7A Q-learning-based Dynamic Channel Assignment Technique for Mobile Communica-tion Systems显示文摘Nie Junhong Haykin S 1999IEEE Transactions on Vehicular Tech-nology1999,48,5:1
8Modeling pH neutralizationprocesses using fuzzy-neural approaches显示文摘Nie Junhong Loh A P Hang C C 1996Fuzzy Setsand Systems1996,78,1:1
9Learning Control Using Fuzzifield Sel f-Organizing Radial Basis Function Network显示文摘 1993IEEE Transactions on Fuzzy Syst ems1993,1,4:1
10Fuzzy control of multivariable nonlinear servomechanisms with explicit decoupling scheme 显示文摘NIE Junhong 1997IEEE Transactions on Fuzzy Systems1997,5,2:1
11A unified real-time approximate reasoning approach for use in intelligent control, Part 1 : theoretical development 显示文摘LINKENS D A NIE Junhong International Journal of Control0,56,2:1
12A unified real-time approximate reasoning approach for use in intelligent control, Part 2: application to muhivafiable blood pressure control 显示文摘LINKENS D A NIE Junhong International Journal of Control0,56,2:1
13FCMAC: A Fuzzified Cerebellar Model Ariticulation Controller with Self-organizing Capacity 显示文摘Junhong NIE 2005Automatica2005,30,4:1
14A Q-learning-based dynamic channel assignment technique for mobile communication systems显示文摘Nie Junhong Haykin S 2002IEEE Trans Veh Technol2002,48,5:1
15Insights into biobased epoxidized fatty acid isobutyl esters from biodiesel:Preparation and application as plasticizer显示文摘Biodiesel was used to prepare epoxidized fatty acid isobutyl esters(Ep-FABEs)as a biobased plasticizer in this work.Transesterification of biodiesel with isobutanol catalyzed by tetrabutyl titanate was carried out in a gas-liquid tower reactor.The conversion achieved nearly 100%within 5 h under the reaction temperature,the mass ratio of catalyst to fatty acid methyl esters(FAMEs),and isobutanol to FAMEs total molar ratio of 180℃,0.4%(mass),and 5.4:1,respectively.In addition,kinetic model of the transesterification reaction was developed at 150–190℃.The calculated activation energy was 48.93 kJ·mol^(-1).Then,the epoxidation of obtained fatty acid isobutyl esters(FABEs)was conducted in the presence of formic acid and hydrogen peroxide.The Ep-FABEs was further analyzed for its plasticizing effectiveness to replace dioctyl phthalate(DOP)and compared with conventional epoxy plasticizer epoxidized fatty acid methyl esters(Ep-FAMEs).The results indicated that the thermal stability and mechanical properties of PVC films with Ep-FABEs plasticizer were significantly improved compared with those plasticized with DOP.In addition,the extraction resistance and migration stability of Ep-FABEs were better than those of EpFAMEs.Overall,the prepared Ep-FABEs via structural modification of biodiesel proved to be a promising biobased plasticizer.Xiaojiang Liang Fengjiao Wu Qinglong Xie Zhenyu Wu Jinjin Cai Congwen Zheng Junhong Fu Yong Nie 2022Chinese Journal of Chemical Engineering2022,35,4:0
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