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Total-Effect Test is Superfluous for Establishing Complementary Mediation Journal article
Statistica Sinica, 2020
Authors:  Yingkai Jiang;  Xinshu Zhao;  Lixing Zhu;  Jun S. Liu;  Ke Deng
View | Adobe PDF | Favorite | View/Download:342/36 | TC[WOS]:0 TC[Scopus]:0 | Submit date:2020/05/11
Complementary Mediation  Hypothesis Testing  Linear Model  Mediation Analysis  Total-effect Test  
Criminologies of the Global South: Critical Reflections Journal article
Critical Criminology, 2019,Volume: 27,Issue: 1,Page: 163-189
Authors:  Carrington,Kerry;  Dixon,Bill;  Fonseca,David;  Goyes,David Rodríguez;  Liu,Jianhong;  Zysman,Diego
Favorite | View/Download:9/0 | TC[WOS]:5 TC[Scopus]:0 | Submit date:2019/06/25
Reliability evaluation on weighted graph metrics of fNIRS brain networks Journal article
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY, 2019,Volume: 9,Issue: 5,Page: 832-841
Authors:  Mengjing Wang;  Zhen Yuan;  Haijing Niu
Favorite | View/Download:7/0 | TC[WOS]:0 TC[Scopus]:0 | Submit date:2020/06/24
Functional Connectivity  Module  Weighted Network  Graph Theory  Small-world  
Periphery Diplomacy: Moving to the Center of China's Foreign Policy Journal article
Series on Contemporary China, 2019,Volume: 45,Page: 3-14
Authors:  Wang,Jianwei;  Hoo,Tiang Boon
Favorite | View/Download:9/0 | TC[WOS]:0 TC[Scopus]:0 | Submit date:2019/06/25
Nagilactone E suppresses TGF-β1-induced epithelial–mesenchymal transition, migration and invasion in non-small cell lung cancer cells Journal article
Phytomedicine, 2019,Volume: 52,Page: 32-39
Authors:  Zhang L.-L.;  Jiang X.-M.;  Huang M.-Y.;  Feng Z.-L.;  Chen X.;  Wang Y.;  Li H.;  Li A.;  Lin L.-G.;  Lu J.-J.
Favorite | View/Download:30/0 | TC[WOS]:3 TC[Scopus]:0 | Submit date:2018/12/28
Epithelial-mesenchymal transition  Nagilactone E  Smad  TGF-β1  
Nagilactone E suppresses TGF-beta 1-induced epithelial-mesenchymal transition, migration and invasion in non-small cell lung cancer cells Journal article
PHYTOMEDICINE, 2019,Volume: 52,Page: 32-39
Authors:  Le-Le Zhang;  Xiao-Ming Jiang;  Mu-Yang Huang;  Zhe-Ling Feng;  Xiuping Chen;  Yitao Wang;  Hua Li;  Ao Li;  Li-Gen Lin;  Jin-Jian Lu
Favorite | View/Download:22/0 | TC[WOS]:3 TC[Scopus]:0 | Submit date:2020/01/09
Nagilactone e  Tgf-β1  Epithelial-mesenchymal Transitio  Smad  
Performance study of battery-powered electric vehicles in Macau Journal article
World Electric Vehicle Journal, 2018,Volume: 5,Issue: 1,Page: 36-44
Authors:  Ching, T.W.;  Lai, Ken;  Iong, Leo
Favorite | View/Download:23/0 | TC[WOS]:0 TC[Scopus]:0 | Submit date:2018/11/06
Electric Vehicle  Emissions  Vehicle Performance  
Vascular endothelial growth factor gene transfer therapy for coronary artery disease: A systematic review and meta-analysis Journal article
CARDIOVASCULAR THERAPEUTICS, 2018,Volume: 36,Issue: 5
Authors:  Yuan, Rong;  Xin, Qiqi;  Shi, Weili;  Liu, Wei;  Lee, Simon-M.;  Hoi, Puiman;  Li, Lin;  Zhao, Jun;  Cong, Weihong;  Chen, Keji
View | Adobe PDF | Favorite | View/Download:570/18 | TC[WOS]:1 TC[Scopus]:0 | Submit date:2018/10/30
Angina Pectoris  Angiogenesis Inducing Agents  Coronary Artery Disease  Genetic Therapy  Myocardial Ischemia  Vascular Endothelial Growth Factor  
Toosendanin, a natural product, inhibited TGF-1-induced epithelial-mesenchymal transition through ERK/Snail pathway Journal article
PHYTOTHERAPY RESEARCH, 2018,Volume: 32,Issue: 10,Page: 2009-2020
Authors:  Luo, Weiwei;  Liu, Xin;  Sun, Wen;  Lu, Jin-Jian;  Wang, Yitao;  Chen, Xiuping
View | Adobe PDF | Favorite | View/Download:823/40 | TC[WOS]:4 TC[Scopus]:0 | Submit date:2018/10/30
Emt  Erk1/2  Snail  Lung Cancer  Toosendanin  
Optimized Multi-Agent Formation Control Based on an Identifier-Actor--Critic Reinforcement Learning Algorithm Journal article
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2018,Volume: 26,Issue: 5,Page: 2719-2731
Authors:  Wen, Guoxing;  Chen, C. L. Philip;  Feng, Jun;  Zhou, Ning
View | Adobe PDF | Favorite | View/Download:1008/85 | TC[WOS]:12 TC[Scopus]:0 | Submit date:2018/10/30
Fuzzy logic systems (FLSs)  identifier-actor-critic architecture  multi-agent formation  optimized formation control  reinforcement learning (RL)