Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Wu, Hua‐Ying"'
Publikováno v:
In Ore Geology Reviews November 2020 126
Publikováno v:
Digital Chinese Medicine, Vol 3, Iss 2, Pp 116-132 (2020)
Objective: To explore the possible preventive mechanism of Hunan expert group recommended Chinese medicine prescription of No. 2 (Pre-No. 2) against coronavirus disease 2019 (COVID-19) by network pharmacology method. Methods: The target proteins of e
Externí odkaz:
https://doaj.org/article/b9d6ea3a5bde4d469eb77b230dadfe93
Autor:
Deng Wen-Xiang, Zhu Jian-Ping, Li Jing, Yuan Zhi-Ying, Wu Hua-Ying, Yao Zhong- Hua, Zhang Yi-Ge, Zhang Wen-An, Huang Hui-Yong
Publikováno v:
Digital Chinese Medicine, Vol 2, Iss 2, Pp 61-71 (2019)
Objective: Natural language processing (NLP) was used to excavate and visualize the core content of syndrome element syndrome differentiation (SESD). Methods: The first step was to build a text mining and analysis environment based on Python language
Externí odkaz:
https://doaj.org/article/f455bf0628fc49a6ba2a8f8113e61c6e
Autor:
Wu Hua-Ying, Zhang Chen, Wang Zhao-Hua, Zhang Shi-Ying, Li Jing, Li Feng, Huang Hui-Yong, Li Liang
Publikováno v:
Digital Chinese Medicine, Vol 2, Iss 2, Pp 86-96 (2019)
Objective: To investigate the potential molecular mechanism of Xin Hui Tong Formula (XHTF) in the treatment of coronary heart disease (CHD) by using network pharmacology and bioinformatics. Methods: The targets network of CHD was constructed through
Externí odkaz:
https://doaj.org/article/9eb9ffe217c4490c8f01882ffbd8cba9
Akademický článek
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Akademický článek
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Akademický článek
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K zobrazení výsledku je třeba se přihlásit.
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Autor:
Li Feng, Wang Zhao-Hua, Wu Hua-Ying, Li Liang, Zhang Chen, Li Jing, Zhang Shi-Ying, Huang Hui-Yong
Publikováno v:
Digital Chinese Medicine, Vol 2, Iss 2, Pp 86-96 (2019)
Objective: To investigate the potential molecular mechanism of Xin Hui Tong Formula (XHTF) in the treatment of coronary heart disease (CHD) by using network pharmacology and bioinformatics. Methods: The targets network of CHD was constructed through
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3490be88e240f4a27ef75add754eaae4
http://www.sciencedirect.com/science/article/pii/S2589377719300953
http://www.sciencedirect.com/science/article/pii/S2589377719300953
Autor:
Yuan Zhi-Ying, Zhang Yi-Ge, Deng Wen-Xiang, Li Jing, Zhu Jian-ping, Yao Zhong Hua, Huang Hui-Yong, Wu Hua-Ying, Zhang Wen-An
Publikováno v:
Digital Chinese Medicine, Vol 2, Iss 2, Pp 61-71 (2019)
Objective: Natural language processing (NLP) was used to excavate and visualize the core content of syndrome element syndrome differentiation (SESD). Methods: The first step was to build a text mining and analysis environment based on Python language
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e746f6ff802a79f6d52a4e7e0266f87e
http://www.sciencedirect.com/science/article/pii/S258937771930093X
http://www.sciencedirect.com/science/article/pii/S258937771930093X
Publikováno v:
MATEC Web of Conferences, Vol 63, p 02042 (2016)
The simulation on rubber shock absorber of machine tool was studied. The simple material model of rubber was obtained by through the finite element analysis software ABAQUS. The compression speed and the hardness of rubber material were considered to
Externí odkaz:
https://doaj.org/article/55297f7b853a480a8bfd8ab544cdd8e0