Zobrazeno 1 - 10
of 698
pro vyhledávání: '"A. A. Krivonosov"'
Publikováno v:
Жанры речи, Vol 19, Iss 3, Pp 212-224 (2024)
In the basis of a special area of genre PRology as a branch of the science of public relations the authors put the criterion of the diversity of PR-information in multi-channel public communication via new media. As a subject of genre PRology, the au
Externí odkaz:
https://doaj.org/article/5f5a5f9161c444b4b9b2e09765a7b439
Autor:
Luis Abrego, Alexey Zaikin, Ines P. Marino, Mikhail I. Krivonosov, Ian Jacobs, Usha Menon, Aleksandra Gentry‐Maharaj, Oleg Blyuss
Publikováno v:
Cancer Medicine, Vol 13, Iss 7, Pp n/a-n/a (2024)
Abstract Background Ovarian cancer is the most lethal of all gynecological cancers. Cancer Antigen 125 (CA125) is the best‐performing ovarian cancer biomarker which however is still not effective as a screening test in the general population. Recen
Externí odkaz:
https://doaj.org/article/6c163266eef744bc80d28a96ac3a01ee
Autor:
Gordleeva, Susanna, Tsybina, Yuliya A., Krivonosov, Mikhail I., Tyukin, Ivan Y., Kazantsev, Victor B., Zaikin, Alexey A., Gorban, Alexander N.
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems, 04 December 2023, Early Access
Mammalian brains operate in a very special surrounding: to survive they have to react quickly and effectively to the pool of stimuli patterns previously recognized as danger. Many learning tasks often encountered by living organisms involve a specifi
Externí odkaz:
http://arxiv.org/abs/2202.07218
Autor:
Gaba, Faiza1,2 (AUTHOR) faiza.gaba1@abdn.ac.uk, Mohammadi, Sara Mahvash3 (AUTHOR), Krivonosov, Mikhail I.4,5 (AUTHOR), Blyuss, Oleg3,6 (AUTHOR)
Publikováno v:
Cancers. Jun2024, Vol. 16 Issue 11, p2021. 11p.
Autor:
Tsybina, Yuliya, Kastalskiy, Innokentiy, Krivonosov, Mikhail, Zaikin, Alexey, Kazantsev, Victor, Gorban, Alexander, Gordleeva, Susanna
Modeling the neuronal processes underlying short-term working memory remains the focus of many theoretical studies in neuroscience. Here we propose a mathematical model of spiking neuron network (SNN) demonstrating how a piece of information can be m
Externí odkaz:
http://arxiv.org/abs/2108.13414
Autor:
Faiza Gaba, Sara Mahvash Mohammadi, Mikhail I. Krivonosov, Oleg Blyuss, on behalf of the GO SOAR Collaborators
Publikováno v:
Cancers, Vol 16, Iss 11, p 2021 (2024)
The medical complexity of surgical patients is increasing, and surgical risk calculators are crucial in providing high-value, patient-centered surgical care. However, pre-existing models are not validated to accurately predict risk for major gynecolo
Externí odkaz:
https://doaj.org/article/e3dff7a38f6e4897b6157e5f9ccaffca
Autor:
Gordleeva, Susanna Yu., Tsybina, Yulia A., Krivonosov, Mikhail I., Ivanchenko, Mikhail V., Zaikin, Alexey A., Kazantsev, Victor B., Gorban, Alexander N.
Publikováno v:
Frontiers in Cellular Neuroscience, 15, 2021, Article 631485
We propose a biologically plausible computational model of working memory (WM) implemented by the spiking neuron network (SNN) interacting with a network of astrocytes. SNN is modelled by the synaptically coupled Izhikevich neurons with a non-specifi
Externí odkaz:
http://arxiv.org/abs/2011.01750
Autor:
Bukreeva, Inna1,2 (AUTHOR) inna.bukreeva@cnr.it, Gulimova, Victoria I.3 (AUTHOR) braincase@yandex.ru, Krivonosov, Yuri S.4 (AUTHOR) asad@ns.crys.ras.ru, Buzmakov, Alexey V.4 (AUTHOR), Junemann, Olga1,3 (AUTHOR) ojunemann@yandex.ru, Cedola, Alessia1 (AUTHOR) alessia.cedola@cnr.it, Fratini, Michela1,5 (AUTHOR) michela.fratini@gmail.com, Maugeri, Laura5 (AUTHOR), Begani Provinciali, Ginevra1,6,7 (AUTHOR), Palermo, Francesca1 (AUTHOR), Sanna, Alessia1 (AUTHOR), Pieroni, Nicola1 (AUTHOR), Asadchikov, Victor E.4 (AUTHOR), Saveliev, Sergey V.3 (AUTHOR)
Publikováno v:
Cells (2073-4409). Oct2023, Vol. 12 Issue 19, p2415. 16p.
Autor:
M. I. Krivonosov, E. V. Kondakova, N. A. Bulanov, S. A. Polevaya, C. Franceschi, M. V. Ivanchenko, M. V. Vedunova
Publikováno v:
Translational Psychiatry, Vol 12, Iss 1, Pp 1-9 (2022)
Abstract Cognitive abilities decline with age, constituting a major manifestation of aging. The quantitative biomarkers of this process, as well as the correspondence to different biological clocks, remain largely an open problem. In this paper we em
Externí odkaz:
https://doaj.org/article/2999e9d73c9d4bd5975c8b394fa87f31
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