The Experts below are selected from a list of 813 Experts worldwide ranked by ideXlab platform

Dmitry G. Blinov - One of the best experts on this subject based on the ideXlab platform.

  • effect of diffusion on slowing the velocity of a bell shaped wave in slow axonal transport
    International Communications in Heat and Mass Transfer, 2010
    Co-Authors: A. V. Kuznetsov, Andriy A. Avramenko, Dmitry G. Blinov
    Abstract:

    Abstract This paper models transport of organelles by slow axonal transport utilizing the stop-and-go hypothesis, which postulates that in slow axonal transport the motion of organelles does not occur continuously; instead, organelles move along microtubules (MTs) alternating between short periods of rapid movement, short on-track pauses, and prolonged off-track pauses, when they temporarily disengage from MTs. The model considers six kinetic states of organelles: anterogradely moving state, retrogradely moving state, anterogradely pausing state, retrogradely pausing state, off-track anterograde state, and off-track retrograde state. The paper extends the existing model of slow axonal transport by accounting for the diffusivity of off-track organelles and investigates how the diffusivity of these organelles affects the amplitude, velocity, and rate of change of the variance of the bell-shaped wave which describes the probability density function (PDF) corresponding to the ratio of the chance of finding an organelle within an Infinitesimal Interval in the axon to the length of this Interval. The velocity of this wave characterizes the average effective velocity (calculated including pauses) of an organelle in slow axonal transport while the rate of change of the variance characterizes the rate of spread of the initial packet of organelles transported in the axon. The goal of this research is not only to develop a more accurate transport model, but also to understand fundamentally the effects of diffusion on slow axonal transport. It is demonstrated that diffusion decreases the amplitude of the wave and increases the rate of its spread but does not affect wave's velocity.

Singh L.p. - One of the best experts on this subject based on the ideXlab platform.

  • Converging shock wave in a dusty gas through nonstandard analysis
    Production and hosting by Elsevier B.V., 2012
    Co-Authors: Singh Mithilesh, Husain Akmal, Singh L.p.
    Abstract:

    AbstractA problem of propagation of strong plane and converging shock wave is studied in a mixture of a gas and small solid particles. It is assumed that the solid particles are continuously distributed in the gas. Jump conditions for plane and converging shock waves are derived using the nonstandard analysis. It is also assumed that the shock thickness occurs at Infinitesimal Interval and jump functions are smooth across this Interval. The distribution of flow parameters across the shock wave are presented in terms of Heaviside functions and Dirac Delta measures

Ioanid Rosu - One of the best experts on this subject based on the ideXlab platform.

  • multi stage game theroy in continuous time
    Research Papers in Economics, 2006
    Co-Authors: Ioanid Rosu
    Abstract:

    I define multi-stage stochastic games in continuous time. As in Bergin and MacLeod (1993), strategies have Infinitesimal inertia, i.e., agents cannot change their strategies in an Infinitesimal Interval immediately after each time t. I extend the framework to allow for mixed strategies. As a novel feature in continuous time, mixing can be done both over actions, and over time (choosing the time of the action). I also define ”layered times,” which allow for stopping the clock and having various stages of the game be played at the same moment in time. I apply the theory to a trading game, where patient agents can choose whether to trade immediately or place a limit order and wait.

Rosu Ioanid - One of the best experts on this subject based on the ideXlab platform.

  • Multi-stage game theroy in continuous time
    HAL CCSD, 2006
    Co-Authors: Rosu Ioanid
    Abstract:

    http://faculty.chicagobooth.edu/ioanid.rosu/research/ctsgames.pdfWorking Paper, University of Chicago, Booth School of BusinessI define multi-stage stochastic games in continuous time. As in Bergin and MacLeod (1993), strategies have Infinitesimal inertia, i.e., agents cannot change their strategies in an Infinitesimal Interval immediately after each time t. I extend the framework to allow for mixed strategies. As a novel feature in continuous time, mixing can be done both over actions, and over time (choosing the time of the action). I also define ”layered times,” which allow for stopping the clock and having various stages of the game be played at the same moment in time. I apply the theory to a trading game, where patient agents can choose whether to trade immediately or place a limit order and wait

Akmal Husain - One of the best experts on this subject based on the ideXlab platform.

  • nonstandard analysis of a converging shock wave in a nonideal gas
    Journal of Engineering Physics, 2011
    Co-Authors: Laxman Singh, Mithilesh Singh, Akmal Husain
    Abstract:

    The problem of propagation of strong plane and converging shock waves in an unsteady inviscid nonideal gas is studied. A nonstandard analysis is used to derive the jump conditions for both shock waves. It is assumed that the jump occurs on an Infinitesimal Interval and jump functions in the flow parameters are smooth across this Interval. The distribution of the flow parameters across the shock wave is expressed in terms of the Heaviside functions. Numerical computation to study the distribution of the flow parameters is performed.