Zobrazeno 1 - 10
of 30
pro vyhledávání: '"E. Bezrukova"'
Autor:
X. Cao, F. Tian, A. Andreev, P. M. Anderson, A. V. Lozhkin, E. Bezrukova, J. Ni, N. Rudaya, A. Stobbe, M. Wieczorek, U. Herzschuh
Publikováno v:
Earth System Science Data, Vol 12, Pp 119-135 (2020)
Pollen records from Siberia are mostly absent in global or Northern Hemisphere synthesis works. Here we present a taxonomically harmonized and temporally standardized pollen dataset that was synthesized using 173 palynological records from Siberia an
Externí odkaz:
https://doaj.org/article/aa60080913e84b7ea38263930bcfbe8f
Autor:
P. S. Dubinin, I. S. Yakimov, A. S. Samoilo, S. G. Ruzhnikov, O. E. Bezrukova, A. N. Zaioga, S. D. Kirik, D. V. Khiystov
Publikováno v:
Industrial laboratory. Diagnostics of materials. 88:20-29
A combination of the methods of X-ray phase and X-ray spectral analyzes is used at domestic aluminum plants for operational technological control of the composition of cooled electrolytes. In this case, standard samples of chemical and phase composit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c3f4472497af418889a1095c592dd05
https://doi.org/10.26896/1028-6861-2022-88-10-20-29
https://doi.org/10.26896/1028-6861-2022-88-10-20-29
Autor:
Sergei D. Kirik, Alexandr S. Samoilo, Yulia N. Zaitseva, Aleksandr N. Zaloga, Oksana E. Bezrukova, Peter S. Dubinin, Igor S. Yakimov
Publikováno v:
Journal of Solid State Chemistry. 319:123825
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7dcf234d55b05fe1f97033295b3cef9
https://doi.org/10.1016/j.jssc.2022.123825
https://doi.org/10.1016/j.jssc.2022.123825
Publikováno v:
Tsvetnye Metally. :56-62
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73dd0c5895cf205bf639a74a232a8b7b
https://doi.org/10.17580/tsm.2019.09.09
https://doi.org/10.17580/tsm.2019.09.09
Autor:
Petr S. Dubinin, Igor S. Yakimov, Alexander N. Zaloga, Vladimir Stanovov, Oksana E. Bezrukova
Publikováno v:
Journal of Siberian Federal University. Chemistry. :188-200
Some possibilities of using convolutional artificial neural networks (ANN) for powder diffraction structural analysis of crystalline substances have been investigated. First, ANNs are used to classify crystalline systems and space groups according to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4be4081f9912cd56eeaf0a0f334c8a1
https://doi.org/10.17516/1998-2836-0118
https://doi.org/10.17516/1998-2836-0118
Autor:
E. Bezrukova, L. Shmarova
Publikováno v:
Auditor. 5:15-21
Th e paper deals with current trends in the development of the credit institutions’ fi nancial statements audit in the Russian Federation. Th e authors deal with the issues of vesting the Central Bank of Russia with powers in the fi nancial institu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efadbb7a13a7816fa426de6cfd716995
https://doi.org/10.12737/article_5c6cfdc858a1d6.77812040
https://doi.org/10.12737/article_5c6cfdc858a1d6.77812040
Publikováno v:
Spectrochimica Acta Part B: Atomic Spectroscopy. 152:52-58
The efficiency of aluminum smelting cells relies on control in maintaining different cell's parameters, including bath chemistry. In industry, X-ray diffraction analysis is normally used to control the primary characteristic of bath chemistry, namely
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::005c1c7e3d1ec04bb11323c2546ae23d
https://doi.org/10.1016/j.sab.2018.12.002
https://doi.org/10.1016/j.sab.2018.12.002
Autor:
E. Bezrukova, L. Shmarova
Publikováno v:
Auditor. 4:20-26
The paper deals with issued related to the Russian and International practice of fi xed assets accounting. The authors compare the requirements of the main reporting standards governing accounting of fi xed assets: PBU 6/01 “Fixed assets accounting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03ae7dbe7babbaf092bef365cb2e371f
https://doi.org/10.12737/article_5c18ed1a9ce381.41104006
https://doi.org/10.12737/article_5c18ed1a9ce381.41104006
Autor:
Sergey V. Burakov, Igor S. Yakimov, Aleksandr Zaloga, P. S. Dubinin, Oksana E. Bezrukova, Konstantin A. Gusev, M. E. Semenkina
Publikováno v:
Industrial laboratory. Diagnostics of materials. 84:25-31
We developed a self configuring genetic algorithm to quantify phase concentrations in a crystalline sample from powder X-ray diffraction data. The algorithm does not require the fine-tuning of parameters, which is inherent to most evolutionary algori
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a68d55c87760c65597f4d4e5cef68fb
https://doi.org/10.26896/1028-6861-2018-84-3-25-31
https://doi.org/10.26896/1028-6861-2018-84-3-25-31
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