Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Wei Liang Lu"'
Autor:
Jorng-Tzong Horng, Chia-Ru Chung, Wei-Liang Lu, Jen-Chieh Han, Po-Ting Lai, Richard Tzong-Han Tsai, Ting-Rung Kuo
Publikováno v:
JMIR Medical Informatics
Background Research on disease-disease association (DDA), like comorbidity and complication, provides important insights into disease treatment and drug discovery, and a large body of the literature has been published in the field. However, using cur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9dd7d66fd901e0e04f8a172722cc4b0f
http://europepmc.org/articles/PMC6913619
http://europepmc.org/articles/PMC6913619
Autor:
Po-Ting Lai, Wei-Liang Lu, Ting-Rung Kuo, Chia-Ru Chung, Jen-Chieh Han, Richard Tzong-Han Tsai, Jorng-Tzong Horng
BACKGROUND Research on disease-disease association (DDA), like comorbidity and complication, provides important insights into disease treatment and drug discovery, and a large body of the literature has been published in the field. However, using cur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::758b5e1f21ad87e9c336baedb9ffa064
https://doi.org/10.2196/preprints.14502
https://doi.org/10.2196/preprints.14502
Autor:
Po-Ting Lai, Wei-Liang Lu, Ting-Rung Kuo, Chia-Ru Chung, Jen-Chieh Han, Richard Tzong-Han Tsai, Jorng-Tzong Horng
BACKGROUND Research on disease-disease association, like comorbidity and complication, provides important insights into disease treatment and drug discovery, and a large body of literature has been published in the field. However, using current searc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb5049bb7f3845800ce37b7f2048deb9
https://doi.org/10.2196/preprints.14129
https://doi.org/10.2196/preprints.14129
Autor:
Wei-Liang Lu, 盧韋良
106
In our study, we constructed a disease-association corpus then use it to build and evaluate the disease-association extraction system. Finally, we propose a max-margin context-aware neural network. The results show that the support vector ma
In our study, we constructed a disease-association corpus then use it to build and evaluate the disease-association extraction system. Finally, we propose a max-margin context-aware neural network. The results show that the support vector ma
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/tjuz45
Publikováno v:
Journal of Electroanalytical Chemistry. :1-8
Fluoroquinolones (FQs), such as lomefloxacin (LX) and fleroxacin (FX), are effective photochemical initiators. When thionine, pyrrole and aniline were photosensitized by LX under UV and oxygen, they polymerized into nanodots and nanofibers after irra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76a681b853cee66dddecb0110e9f8b28
https://doi.org/10.1016/j.jelechem.2012.05.003
https://doi.org/10.1016/j.jelechem.2012.05.003
Publikováno v:
Chinese Journal of Chemistry. 27:1611-1616
F-montmorillonite (F-MMT) was synthesized by a hydrothermal method at 493 K for 72 h, in which a little of hydroxyl radical is replaced by fluoride ion in the silicate structure. Poly(vinyl alcohol) (PVA)/F-MMT nanocomposites were prepared using the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ec966c834d5f52f649732b022446a6a
https://doi.org/10.1002/cjoc.200990272
https://doi.org/10.1002/cjoc.200990272
Publikováno v:
Chinese Journal of Chemistry. 26:2278-2284
Two kinds of polyvinyl chloride (PVC)/organophilic montmorillonite (OMT) nanocomposites are prepared by a melt intercalation method. This study has been designed to determine if the presence of iron and zinc ions in the structure of montmorillonite (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::664ea8bb3fe51284a209738324d09b19
https://doi.org/10.1002/cjoc.200890404
https://doi.org/10.1002/cjoc.200890404