Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Zhaowei Ren"'
Autor:
Warunya Panmanee, Shengchang Su, Michael J Schurr, Gee W Lau, Xiaoting Zhu, Zhaowei Ren, Cameron T McDaniel, Long J Lu, Dennis E Ohman, Daniel A Muruve, Ralph J Panos, Hongwei D Yu, Thomas B Thompson, Boo Shan Tseng, Daniel J Hassett
Publikováno v:
PLoS ONE, Vol 14, Iss 6, p e0216401 (2019)
Mucoid mucA22 Pseudomonas aeruginosa (PA) is an opportunistic lung pathogen of cystic fibrosis (CF) and chronic obstructive pulmonary disease (COPD) patients that is highly sensitive to acidified nitrite (A-NO2-). In this study, we first screened PA
Externí odkaz:
https://doaj.org/article/8ba1db1a6a3749b8ad1275cd7ff85e20
Publikováno v:
Stanford Journal of Computational Antitrust. :117-131
Utilizing antitrust decisions extracted from the Caselaw Access Project, we aggregate—or embed—layers of topic modeling into a single set of visualizations. Aggregated models can provide new perspectives on how courts tackle thorny doctrinal ques
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28f9eccb2f0f9fc1d0f2f66e88d8be54
https://doi.org/10.51868/7
https://doi.org/10.51868/7
Publikováno v:
ChemElectroChem. 8:1531-1536
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c9d2d137fd6c963b9959f57ef94c179
https://doi.org/10.1002/celc.202100334
https://doi.org/10.1002/celc.202100334
Publikováno v:
ChemElectroChem. 8:1605-1611
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a034ac694626020e9f71c624779aa050
https://doi.org/10.1002/celc.202100185
https://doi.org/10.1002/celc.202100185
Publikováno v:
SSRN Electronic Journal.
This Essay illustrates how machine learning can disrupt legal scholarship through the algorithmic extraction and analysis of big data. Specifically, we utilize data from Harvard Law School’s Caselaw Access Project to model how courts tackle two tho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c5bf09d8b2ee34c2e5eff4a80f5c87a
https://doi.org/10.2139/ssrn.3529257
https://doi.org/10.2139/ssrn.3529257
Autor:
Daniel A. Muruve, Long J. Lu, Dennis E. Ohman, Boo Shan Tseng, Gee W. Lau, Ralph J. Panos, Michael J. Schurr, Shengchang Su, Daniel J. Hassett, Thomas B. Thompson, Hongwei D. Yu, Warunya Panmanee, Cameron T. McDaniel, Xiaoting Zhu, Zhaowei Ren
Publikováno v:
PLoS ONE
PLoS ONE, Vol 14, Iss 6, p e0216401 (2019)
PLoS ONE, Vol 14, Iss 6, p e0216401 (2019)
Mucoid mucA22 Pseudomonas aeruginosa (PA) is an opportunistic lung pathogen of cystic fibrosis (CF) and chronic obstructive pulmonary disease (COPD) patients that is highly sensitive to acidified nitrite (A-NO2-). In this study, we first screened PA
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8efaf7d293c11e1136a80d5b8cfd3f95
https://pubmed.ncbi.nlm.nih.gov/31158231
https://pubmed.ncbi.nlm.nih.gov/31158231
Publikováno v:
Unifying Themes in Complex Systems IX ISBN: 9783319966601
Thinking is a self-organized dynamical process and, as such, interesting to characterize. However, direct, real-time access to thought at the semantic level is still very limited. The best that can be done is to look at spoken or written expression.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37b73ff95661ffe1ccc0ba8a56a5de73
https://doi.org/10.1007/978-3-319-96661-8_31
https://doi.org/10.1007/978-3-319-96661-8_31
Publikováno v:
Concepts in Magnetic Resonance Part B: Magnetic Resonance Engineering. 45:1-12
Objective To develop magnetic resonance (MR) robot used in the magnetic field environment, materials selected for manufacturing robot should have good MR compatibility and machinability. Therefore, it is becoming increasingly urgent to develop an eva
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fba43fa3013f0d85d7fe7f0706e9a50
https://doi.org/10.1002/cmr.b.21276
https://doi.org/10.1002/cmr.b.21276
Publikováno v:
ChemElectroChem; 5/3/2021, Vol. 8 Issue 9, p1605-1611, 7p
Autor:
Krishnan, Karthik1 krishnki@ucmail.uc.edu, Zhaowei Ren2 rzwdsg@gmail.com, Losada, Liliana3 llosada@jcvi.org, Nierman, William C.3 wnierman@jcvi.org, Lu, Long Jason2 bioinfo@gmail.com, Askew, David S.1,4 david.askew@uc.edu
Publikováno v:
BMC Genomics. 2014, Vol. 15 Issue 1, p1-31. 31p.