Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Huzhan Zheng"'
Autor:
Lina Wang, Xuechun Li, Huzhan Zheng, Jingjie Han, Wenhui Pei, Jian Ni, Jingchen Tian, Longfei Lin, Haoran Dou
Publikováno v:
Analytical Methods. 7:1809-1815
Forsythiaside is very unstable and can be affected by different conditions. Studying the stability of forsythiaside in vivo would greatly aid in accurately measuring it and evaluating its pharmacokinetics. No thorough study has been performed examini
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c8c94766b4df6c7f6d01118726deb7b
https://doi.org/10.1039/c4ay02653e
https://doi.org/10.1039/c4ay02653e
Publikováno v:
BMC Complementary and Alternative Medicine
BMC Complementary and Alternative Medicine, Vol 12, Iss 1, p 223 (2012)
BMC Complementary and Alternative Medicine, Vol 12, Iss 1, p 223 (2012)
Background Compound Valeriana jatamansi Jones is a formula for treating anxiety-related diseases in the clinic, which is composed of Valeriana jatamansi Rhizoma et Radix, Ziziphi Spinosae Semen, Albiziae Cortex and Junci Medulla. The purpose of this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fde2cf23bbf41e55c383cc0e2cd58469
https://pubmed.ncbi.nlm.nih.gov/23171285
https://pubmed.ncbi.nlm.nih.gov/23171285
Publikováno v:
C3S2E
Our motivation for knowledge discovery in Chinese medicine is two folds: innovate and verify effective data mining technology in realistic applications; and update Chinese medical informatics. This paper focuses on the former aspect. To develop effec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85cbeda7b016f67f6a68004fd4abf828
https://doi.org/10.1145/1370256.1370273
https://doi.org/10.1145/1370256.1370273
Publikováno v:
FSKD (2)
The proposed hyper knowledge discovery system is designed to facilitate domain users to interactively discover knowledge from complex data sets. At the first stage, this system integrates data preprocess, lexicon establishment and database constructi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3262e4ebe799d001a61981cd2bf5dc38
https://doi.org/10.1109/fskd.2007.170
https://doi.org/10.1109/fskd.2007.170
Publikováno v:
Fourth International Conference on Fuzzy Systems & Knowledge Discovery (FSKD 2007); 2007, p343-354, 12p