Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Zhi-Feng Yin"'
Publikováno v:
Yao xue xue bao = Acta pharmaceutica Sinica. 46(10)
The study on the buds of Jasminum officinale L. var. grandiflorum was carried out to look for anti-HBV constituents. The isolation and purification were performed by HPLC and chromatography on silica gel, polyamide and Sephadex LH-20 column. The stru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::2d8dfe21317691bf7c43e55e20c44c61
https://pubmed.ncbi.nlm.nih.gov/22242454
https://pubmed.ncbi.nlm.nih.gov/22242454
Autor:
Zhi-feng Yin, Yan-jing Bai
Publikováno v:
Advances in Intelligent and Soft Computing ISBN: 9783642279652
The trend of financial globalization and liberalization has changed the competitive situation of the financial industry significantly. In this paper, we use the SWOT analysis to analyze the strengths, weakness, opportunities and threats of China’s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1316bf32a3a20d64e168a056325b030
https://doi.org/10.1007/978-3-642-27966-9_16
https://doi.org/10.1007/978-3-642-27966-9_16
Publikováno v:
Journal of ethnopharmacology. 125(2)
Ethnopharmacological relevance Jasminum officinale L. var. grandiflorum (JOG) is a folk medicine used for the treatment of hepatitis in south of China. Phytochemical studies showed that secoiridoid glycosides are the typical constituents of this plan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4928ea55809215c29d8b07b3cdc210e
https://pubmed.ncbi.nlm.nih.gov/19580857
https://pubmed.ncbi.nlm.nih.gov/19580857
Publikováno v:
Yao xue xue bao = Acta pharmaceutica Sinica. 43(5)
To study the chemical constituents of the flowers of Jasminum officinale L. var. grandiflorum, the compounds were isolated and purified by HPLC, recrystallization and chromatography on silica gel and Sephadex LH-20 column. Their structures were eluci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::cdc51e75180a91e931b85c0e0305139e
https://pubmed.ncbi.nlm.nih.gov/18717340
https://pubmed.ncbi.nlm.nih.gov/18717340
Publikováno v:
2006 1ST IEEE Conference on Industrial Electronics and Applications.
Inspired by the idea of hybrid optimization algorithms, this paper proposes two hybrid quantum evolutionary algorithms (QEA) based on combining QEA with particle swarm optimization (PSO) to improve the performance of QEA . The main idea of the first
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6bc6e93674ea4e45ef7ccd1a2d11f0d
https://doi.org/10.1109/iciea.2006.257137
https://doi.org/10.1109/iciea.2006.257137
Publikováno v:
IEEE International Symposium on Communications and Information Technology, 2005. ISCIT 2005..
Artificial school algorithm (AFSA) is a new kind of intelligence optimization algorithm, which has some advantages that genetic algorithm (GA) and particle swarm optimization (PSO) do not have. But this algorithm has several disadvantages such as the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ffee8da6dadf78b514de92635060aed5
https://doi.org/10.1109/iscit.2005.1567151
https://doi.org/10.1109/iscit.2005.1567151
Publikováno v:
IEEE International Symposium on Communications & Information Technology, 2005. ISCIT 2005; 2005, p1480-1484, 5p