Zobrazeno 1 - 10
of 254
pro vyhledávání: '"Fedotov, Sergei A."'
Transport of dense core vesicles (DCVs) in neurons is crucial for distributing molecules like neuropeptides and growth factors. We studied the experimental trajectories of dynein-driven directed movement of DCVs in the ALA neuron C. elegans over a du
Externí odkaz:
http://arxiv.org/abs/2407.18237
Autor:
Fedotov, Sergei, Han, Daniel
We formulate a fractional master equation in continuous time with random transition probabilities across the population of random walkers such that the effective underlying random walk exhibits ensemble self-reinforcement. The population heterogeneit
Externí odkaz:
http://arxiv.org/abs/2209.10599
Autor:
Fedotov, Sergei, Dergacheva, Anna, Filik, Anastasia, Khabibullin, Marat, Khotjantsev, Alexei, Kudenko, Yury, Mineev, Oleg, Yershov, Nikolay
SuperFGD, a highly granular scintillator detector, is under construction to reduce systematic uncertainties in the T2K experiment in order to improve the sensitivity to CP-violation in neutrino oscillations. SuperFGD will be comprised of about 2x10^6
Externí odkaz:
http://arxiv.org/abs/2111.07305
In this study, we present a method for classifying dynamical systems using a hybrid approach involving recurrence plots and a convolution neural network (CNN). This is performed by obtaining the recurrence matrix of a time series generated from a giv
Externí odkaz:
http://arxiv.org/abs/2111.00866
We introduce a persistent random walk model for the stochastic transport of particles involving self-reinforcement and a rest state with Mittag-Leffler distributed residence times. The model involves a system of hyperbolic partial differential equati
Externí odkaz:
http://arxiv.org/abs/2110.04851
This paper introduces a run-and-tumble model with self-reinforcing directionality and rests. We derive a single governing hyperbolic partial differential equation for the probability density of random walk position, from which we obtain the second mo
Externí odkaz:
http://arxiv.org/abs/2110.04299
Autor:
Korabel, Nickolay, Han, Daniel, Taloni, Alessandro, Pagnini, Gianni, Fedotov, Sergei, Allan, Viki, Waigh, Thomas A.
Publikováno v:
Entropy 2021, 23, 958
Trajectories of endosomes inside living eukaryotic cells are highly heterogeneous in space and time and diffuse anomalously due to a combination of viscoelasticity, caging, aggregation and active transport. Some of the trajectories display switching
Externí odkaz:
http://arxiv.org/abs/2107.11553
Autor:
Korabel, Nickolay, Han, Daniel, Taloni, Alessandro, Pagnini, Gianni, Fedotov, Sergei, Allan, Viki, Waigh, Thomas Andrew
A major open problem in biophysics is to understand the highly heterogeneous transport of many structures inside living cells, such as endosomes. We find that mathematically it is described by spatio-temporal heterogeneous fractional Brownian motion
Externí odkaz:
http://arxiv.org/abs/2107.07760
In this paper, we formulate the space-dependent variable-order fractional master equation to model clustering of particles, organelles, inside living cells. We find its solution in the long time limit describing non-uniform distribution due to a spac
Externí odkaz:
http://arxiv.org/abs/2101.02698
Publikováno v:
Phys. Rev. E 103, 022132 (2021)
We introduce a persistent random walk model with finite velocity and self-reinforcing directionality, which explains how exponentially distributed runs self-organize into truncated L\'evy walks observed in active intracellular transport by Chen et. a
Externí odkaz:
http://arxiv.org/abs/2005.00498