Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Sergey Vakulenko"'
Autor:
Sergey Vakulenko, Alexander Galper
Publikováno v:
Mathematics, Vol 12, Iss 3, p 429 (2024)
We consider systems of reaction–diffusion equations. We describe a new effect in the wave interaction for these systems: the collision of several travelling fronts may induce chaos or periodic oscillations. This effect depends on the initial locati
Externí odkaz:
https://doaj.org/article/a70c215d51d44a72a84740311cf45139
Autor:
Sergey Vakulenko
Publikováno v:
Mathematics, Vol 11, Iss 24, p 5003 (2023)
This paper aims to explain the transition to multicellularity as a consequence of the evolutionary response to stress. The proposed model is composed of three parts. The first part details stochastic biochemical kinetics within a reactor (potentially
Externí odkaz:
https://doaj.org/article/0156103f07cc4972a74cfe5831935a2c
Autor:
Vladimir NEKHOROSHKOV, Sergey VAKULENKO, Peter KURENKOV, Evgeniy NEKHOROSHKOV, Grigoriy DERUZHINSKIY, Alexander IGNATENKO, Alyona AROSHIDZE, Alexey ASTAFIEV, Irina SERYAPOVA, Irina SOLSKAYA
Publikováno v:
Scientific Journal of Silesian University of Technology. Series Transport, Vol 114, Pp 103-114 (2022)
The development of international cargo transportation has been relevant since the emergence of the international division of labor. Billions of tons of goods of various names, values and volumes are transported across the borders of the Russian Feder
Externí odkaz:
https://doaj.org/article/c838133fdd3649ac8f36218f9a74060e
Publikováno v:
Недвижимость: экономика, управление, Iss 1 (2021)
In the world practice of recent decades, monorail transport systems have been actively developing as an element of the mass passenger transport system. There is a monorail line in Moscow, which has exhausted its operational reserves and needs reconst
Externí odkaz:
https://doaj.org/article/aeecf50103ee4f25a72b018026629073
Autor:
Xiaoxiao Zhang, Holger Fröhlich, Dima Grigoriev, Sergey Vakulenko, Jörg Zimmermann, Andreas Günter Weber
Publikováno v:
Scientific Reports, Vol 8, Iss 1, Pp 1-12 (2018)
Abstract We propose a simple 3-parameter model that provides very good fits for incidence curves of 18 common solid cancers even when variations due to different locations, races, or periods are taken into account. From a data perspective, we use mod
Externí odkaz:
https://doaj.org/article/a49c51a344b340679774293b34099f9c
Autor:
Sergey Vakulenko, Dmitry Grigoriev
Publikováno v:
Mathematics, Vol 9, Iss 23, p 3028 (2021)
We consider systems of differential equations with polynomial and rational nonlinearities and with a dependence on a discrete parameter. Such systems arise in biological and ecological applications, where the discrete parameter can be interpreted as
Externí odkaz:
https://doaj.org/article/fdfb4694d1214e1eb456d46811146e7e
Publikováno v:
Transport Problems, Vol 12, Iss 3, Pp 123-136 (2017)
A model to calculate the optimal work modes of train locomotives while serving train flows is proposed. The model is a further development of the dynamic transportation problem. Parameters of train movement and locomotive utilization are published. B
Externí odkaz:
https://doaj.org/article/c5361b915e9e423aaca3fd5a14dfde3a
Publikováno v:
F1000Research, Vol 8 (2019)
We consider evolution of a large population, where fitness of each organism is defined by many phenotypical traits. These traits result from expression of many genes. Under some assumptions on fitness we prove that such model organisms are capable, t
Externí odkaz:
https://doaj.org/article/6e6dd54c11bd4403a0dd227e55d3be68
Publikováno v:
Electronic Proceedings in Theoretical Computer Science, Vol 125, Iss Proc. HSB 2013, Pp 68-83 (2013)
Hybrid modeling provides an effective solution to cope with multiple time scales dynamics in systems biology. Among the applications of this method, one of the most important is the cell cycle regulation. The machinery of the cell cycle, leading to c
Externí odkaz:
https://doaj.org/article/33c2d087ad544118b6ec39e8dfe1a8fc
Autor:
Sergey Vakulenko
This book focuses on the dynamic complexity of neural, genetic networks, and reaction diffusion systems. The author shows that all robust attractors can be realized in dynamics of such systems. In particular, a positive solution of the Ruelle-Takens
