Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Gui-Yang Li"'
Publikováno v:
Clinical and Experimental Hypertension, Vol 42, Iss 4, Pp 371-375 (2020)
Background: Little information is available in the literature for the correlation of insulin resistance (IR) and CLOCK gene polymorphism in Chinese population. This study aimed to investigate the relationship of HOMA-IR (homeostasis model assessment
Externí odkaz:
https://doaj.org/article/297f82aeb335496e9d65e894b7753b89
Publikováno v:
Molecules, Vol 23, Iss 3, p 614 (2018)
Alzheimer’s disease (AD) is an age-related neurodegenerative disease that is mediated by multiple signaling pathways. In recent years, the components of Psoralea Fructus (PF) have demonstrated some anti-Alzheimer effects both in vitro and in vivo.
Externí odkaz:
https://doaj.org/article/a3c165f5315f418a9ae67ad258d9e9d7
Autor:
He-qiang Zhang, Jia-le Lin, Lei Pan, Liang Mao, Jing-long Pang, Qian Yuan, Gui-yang Li, Gang-si Yi, Yang-bin Lin, Bao-long Feng, Yun-da Li, Yan Wang, Ling-jun Jie, Yan-hui Zhang
Publikováno v:
Biochemical Pharmacology. 209:115443
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b9d77e16acb1f5027ae110f5ca209f2
https://doi.org/10.1016/j.bcp.2023.115443
https://doi.org/10.1016/j.bcp.2023.115443
Publikováno v:
Clinical and experimental hypertension (New York, N.Y. : 1993). 42(4)
Background: Little information is available in the literature for the correlation of insulin resistance (IR) and CLOCK gene polymorphism in Chinese population. This study aimed to investigate the r...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::596b3539773407f4e2f49df9fc1ebe14
https://pubmed.ncbi.nlm.nih.gov/31612734
https://pubmed.ncbi.nlm.nih.gov/31612734
Autor:
Gui-Yang Li, J. L. Koenig
Publikováno v:
Rubber Chemistry and Technology. 78:355-390
The aging of rubber caused by oxidative degradation leads to the deterioration in the physical and mechanical properties of vulcanized rubbers. In an effort to improve the oxidative stability of rubbers and elastomers, considerable amount of work has
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6d28de78c4fb3eb057ba968a8ff6506
https://doi.org/10.5254/1.3547888
https://doi.org/10.5254/1.3547888
Autor:
Gui-Yang Li, J. L. Koenig
Publikováno v:
Journal of Elastomers & Plastics. 36:33-44
The diffusion of binary solvents of benzene and cyclohexane in polyisoprene rubber networks was observed by Fourier Transform Infrared (FTIR) mapping spectroscopy. The spatial correlation of solvent diffusion and rubber swelling was established with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10092e6cfe0abe145d03c265d59c026b
https://doi.org/10.1177/0095244304039429
https://doi.org/10.1177/0095244304039429
Autor:
Gui-Yang Li, Jack L. Koenig
Publikováno v:
Polymer Degradation and Stability. 81:377-385
The thermal aging of polyisoprene (PI) rubber with different concentrations of the antioxidant N -phenyl- N ′-dimethyl-butyl- p -phenylenediamine (6-PPD) in hot air (140 °C) has been studied using the FTIR imaging technique. These FTIR imaging res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ddcc5fff2b1adfc8c83ea85127d9b164
https://doi.org/10.1016/s0141-3910(03)00109-5
https://doi.org/10.1016/s0141-3910(03)00109-5
Autor:
Gui-Yang Li, Jack L. Koenig
Publikováno v:
Applied Spectroscopy. 56:1390-1396
The thermal aging of PI rubber in hot air (140 °C) has been studied using the FT-IR imaging technique. From the analysis of the FT-IR images of the absorbance of the carbonyl (C=O) groups, it was found that the most significant thermal oxidation occ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::370d262f514576c42e0ec000f5d719d7
https://doi.org/10.1366/00037020260377670
https://doi.org/10.1366/00037020260377670
Autor:
Gui-Yang Li, Tao Guo
Publikováno v:
2010 International Conference on Machine Learning & Cybernetics (ICMLC); 2010, p3117-3122, 6p
Publikováno v:
2009 International Conference on Machine Learning & Cybernetics; 2009, p3227-3232, 6p