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of 3 228
pro vyhledávání: '"Bent, A E"'
Autor:
Remy, Sekou L., Bent, Oliver E.
In this work we present a framework which may transform research and praxis in epidemic planning. Introduced in the context of the ongoing COVID-19 pandemic, we provide a concrete demonstration of the way algorithms may learn from epidemiological mod
Externí odkaz:
http://arxiv.org/abs/2210.02055
Autor:
Vitorino, Let?cia de Melo
Publikováno v:
Repositório Institucional da UFVJM
Universidade Federal dos Vales do Jequitinhonha e Mucuri (UFVJM)
instacron:UFVJM
Universidade Federal dos Vales do Jequitinhonha e Mucuri (UFVJM)
instacron:UFVJM
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Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::5b2b58b88b2731c2d27e4f14f67e3972
http://acervo.ufvjm.edu.br/jspui/handle/1/2791
http://acervo.ufvjm.edu.br/jspui/handle/1/2791
Akademický článek
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Autor:
Agustí Lledós, Krishna K. Pandey
Publikováno v:
Inorganic Chemistry. 48:2748-2759
The electronic and molecular structures of the complexes [(η5-C5H5)(CO)2M≡EMe] and [(η5-C5H5)(CO)3M−EMe] (M = Cr, Mo, W; E = Si, Sn, Pb) are calculated at the density-functional theory (DFT) level ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de55b60ed9a6388682417a90a6868bc8
https://doi.org/10.1021/ic801072g
https://doi.org/10.1021/ic801072g
Autor:
Bent, Rachel E., Wilson, Machelle D., Jacoby, Vanessa L., Varon, Shira, Parvataneni, Ram, Saberi, Naghmeh, Waetjen, L. Elaine
Publikováno v:
In The Journal of Minimally Invasive Gynecology September-October 2019 26(6):1139-1143
Akademický článek
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Autor:
Mekhael, Anastasia A., Bent, Jennifer E., Fawcett, Jonathan M., Campbell, Tavis S., Aguirre-Camacho, Aldo, Farrell, Alison, Rash, Joshua A.
Publikováno v:
Canadian Journal of Pain. 7
There is a need for novel analgesics with favorable risk to benefit profiles. Oxytocin has recently gained attention for its potential analgesic properties. The aim of this study was to perform an updated systematic review and meta-analysis evaluatin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68f0ef0f37f16aa2ca8d99db0e78645e
https://doi.org/10.1080/24740527.2023.2191114
https://doi.org/10.1080/24740527.2023.2191114
Autor:
Bent, Rachel E., Wheeler, Matthew T., Hadley, David, Froelicher, Victor, Ashley, Euan, Perez, Marco V.
Publikováno v:
In Journal of Electrocardiology May-June 2015 48(3):362-367
Publikováno v:
AMIA Annu Symp Proc
The use of epidemiological models for decision-making has been prominent during the COVID-19 pandemic. Our work presents the application of nonparametric Bayesian techniques for inferring epidemiological model parameters based on available data sets
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::8fd7154d371505012701a1f991273cbc
https://europepmc.org/articles/PMC8861664/
https://europepmc.org/articles/PMC8861664/