Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Vincent Yu"'
Autor:
Angela L. Woods, David Parker, Meir M. Glick, Yunshan Peng, Francois Lenoir, Evan Mulligan, Vincent Yu, Grazia Piizzi, Troy Lister, Maria-Dawn Lilly, JoAnn Dzink-Fox, Johanna M. Jansen, Neil S. Ryder, Charles R. Dean, Thomas M. Smith
Publikováno v:
ACS Omega, Vol 7, Iss 6, Pp 5401-5414 (2022)
Externí odkaz:
https://doaj.org/article/82645573e4aa4d8d83835b6903cb981d
Autor:
Bernard MY Cheung, Pauline Yeung Ng, Ying Liu, Manman Zhou, Vincent Yu, Julia Yang, Natalie Q. Wang
Publikováno v:
BMC Anesthesiology, Vol 21, Iss 1, Pp 1-7 (2021)
Abstract Background Liposomal bupivacaine (LB) is a long-acting formulation of bupivacaine. The safety and efficacy of LB has been demonstrated across surgical procedures. However, pharmacokinetic (PK) parameters and safety of LB in the Chinese popul
Externí odkaz:
https://doaj.org/article/48e5ea6fbbdf4c0daca9cd951f7a4124
Autor:
Vincent Yu, 游鎮維
87
The 1960''s has been considered as a developmental stage of children''s fantastic stories in Taiwan. Several authors and scholars in the 1960''s suggested that a theme is an important part of a fantastic story. There is a great influence on c
The 1960''s has been considered as a developmental stage of children''s fantastic stories in Taiwan. Several authors and scholars in the 1960''s suggested that a theme is an important part of a fantastic story. There is a great influence on c
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/81477043303033761322
Autor:
Monica Walsh, Soumya Ghosh, Alfredo Ponce, Chris James, Gabriella Kam, Tanna Lauriente, Vincent Yu, Kirk Safford, Naowarat Cheeptham
Publikováno v:
Fine Focus. 9:66-83
Caves offer a unique habitat for microorganisms, which allow the adaptation of exclusive metabolic pathways to the resources available. This environment could enable the production of primary and secondary metabolites with unique antimicrobial or enz
Publikováno v:
Anesthesiology. 138:225-227
Publikováno v:
OCEANS 2022, Hampton Roads.
Autor:
Venkateswaran Shekar, Vincent Yu, Benjamin J. Garcia, David Benjamin Gordon, Gemma E. Moran, David M. Blei, Loïc M. Roch, Alberto García-Durán, Mansoor Ani Najeeb, Margaret Zeile, Philip W. Nega, Zhi Li, Mina A. Kim, Emory M. Chan, Alexander J. Norquist, Sorelle Friedler, Joshua Schrier
Machine learning is a useful tool for accelerating materials discovery, however it is a challenge to develop accurate methods that successfully transfer between domains while also broadening the scope of reaction conditions considered. In this paper,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9b7d8eb73803574e204f28241acb281
https://doi.org/10.26434/chemrxiv-2022-l1wpf-v2
https://doi.org/10.26434/chemrxiv-2022-l1wpf-v2
Publikováno v:
Regional Anesthesia & Pain Medicine. :rapm-2023
Publikováno v:
SSRN Electronic Journal.
Autor:
Vincent Yu
Publikováno v:
Ploughshares. 46:217-237