Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Andrey Tor"'
Publikováno v:
Chemistry of Heterocyclic Compounds. 53:979-984
The structure of a cyclohepta[ c ]pyridin-1-one, a product of an unusual transformation, isolated during a turbo-Grignard reagentpromoted methyl cross coupling to 5-bromo-1-phenyl-2-pyridone, was determined by 1 H and 13 C NMR, COSY, and high-resolut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c96b539f7fc9d8e85151ce56e2387a78
https://doi.org/10.1007/s10593-017-2159-9
https://doi.org/10.1007/s10593-017-2159-9
Autor:
Konstantin Ulanenko, Eliezer Falb, Alfred Hassner, Michal Afri, Hugo E. Gottlieb, Ronen Gottesfeld, Andrey Tor, Michal Weitman
Publikováno v:
Green Chem.. 19:5046-5053
Efficient introduction of methyl or methyl-d3 into aromatic and heteroaromatic systems still presents a synthetic challenge. In particular, we were in search of a non-cryogenic synthesis of the 5-CD3 version of pirfenidone (4d, also known as Pirespa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93fc7cdf226245350ff52af05831af1f
https://doi.org/10.1039/c7gc01740e
https://doi.org/10.1039/c7gc01740e
Publikováno v:
Компьютерная оптика, Vol 43, Iss 4, Pp 605-610 (2019)
The article describes methods and algorithms related to the analysis of dynamically changing discrete random fields. Time-optimal strategies for the localization of pulsed-point sources having a random spatial distribution and indicating themselves b
Externí odkaz:
https://doaj.org/article/c9905870d9df425a9810bc1fac81e8f0
Autor:
Juraj Gerlici, Sergey Goolak, Oleg Gubarevych, Kateryna Kravchenko, Kateryna Kamchatna-Stepanova, Andrey Toropov
Publikováno v:
Symmetry, Vol 14, Iss 7, p 1305 (2022)
A method is proposed for determining the number of damaged stator windings in the presence of an asymmetric power supply system for an induction electric motor based on the Park vector hodograph. As a result of the experiments on the simulation model
Externí odkaz:
https://doaj.org/article/b98b3faf1a134b3797bf16f17a53b7eb
Publikováno v:
Frontiers in Bioscience-Landmark, Vol 27, Iss 4, p 112 (2022)
Background: Staphylococcus aureus bacterial infections are still a serious health care problem. Therefore, the development of new drugs for these infections is a constant requirement. Quantitative structure–activity relationship (QSAR) methods can
Externí odkaz:
https://doaj.org/article/7702ccf6be1e4e8a8b0afefc1e4910ab