The Experts below are selected from a list of 327 Experts worldwide ranked by ideXlab platform
Michael E. Kellman - One of the best experts on this subject based on the ideXlab platform.
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Kinetic Model of Translational Autoregulation.
The journal of physical chemistry. B, 2019Co-Authors: Vivian Tyng, Michael E. KellmanAbstract:We investigate the dynamics of a Kinetic Model of inhibitory autoregulation as exemplified when a protein inhibits its own production by interfering with its mRNA, known in molecular biology as translational autoregulation. We first show how linear Models without feedback set the stage with a nonequilibrium steady state that constitutes the target of the regulation. However, regulation in the simple linear Model is far from optimal. The negative feedback mechanism whereby the protein "jams" the mRNA greatly enhances the effectiveness of the control, with response to perturbation that is targeted, rapid, and metabolically efficient. Understanding the full dynamics of the system phase space is essential to understanding the autoregulation process.
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Kinetic Model of Translational Autoregulation
2018Co-Authors: Vivian Tyng, Michael E. KellmanAbstract:We investigate dynamics of a Kinetic Model of inhibitory autoregulation as exemplified when a protein inhibits its own production by interfering with its messenger RNA, known in molecular biology as translational autoregulation. We first show how linear Models without feedback set the stage with a nonequilibrium steady state that constitutes the target of the regulation. However, regulation in the simple linear Model is far from optimal. The negative feedback mechanism whereby the protein "jams" the mRNA greatly enhances the effectiveness of the control, with response to perturbation that is targeted, rapid, and metabolically efficient. Understanding the full dynamics of the system phase space is essential to understanding the autoregulation process.
Fokion Egolfopoulos - One of the best experts on this subject based on the ideXlab platform.
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An optimized Kinetic Model of H2/CO combustion
Proceedings of the Combustion Institute, 2005Co-Authors: Scott G Davis, Ameya V. Joshi, Hai Wang, Fokion EgolfopoulosAbstract:We propose a H2-CO Kinetic Model which incorporates the recent thermodynamic, Kinetic, and species transport updates relevant to high-temperature H2and CO oxidation. Attention has been placed on obtaining a comprehensive and Kinetically accurate Model able to predict a wide variety of H2-CO combustion data. The Model was subject to systematic optimization and validation tests against reliable H2- CO combustion data, from global combustion properties (shock-tube ignition delays, laminar flame speeds, and extinction strain rates) to detailed species profiles during H2and CO oxidation in flow reactor and in laminar premixed flames.
Mikhail D. Smolikov - One of the best experts on this subject based on the ideXlab platform.
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Thermodynamically Consistent Kinetic Model for the Naphtha Reforming Process
Industrial & Engineering Chemistry Research, 2021Co-Authors: Andrey N Zagoruiko, A. S. Belyi, Mikhail D. SmolikovAbstract:The work is devoted to development of a Kinetic Model of the naphtha reforming process based on the previously proposed approach using general rate equations for groups of similar reactions, taking...
Benjamin Anwasia - One of the best experts on this subject based on the ideXlab platform.
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The Maxwell-Stefan Diffusion Limit of a Hard-Sphere Kinetic Model for Mixtures
arXiv: Computational Physics, 2020Co-Authors: Benjamin AnwasiaAbstract:We study a Kinetic Model for non-reactive mixtures of monatomic gases with hard-sphere cross-sections under isothermal condition. By considering a diffusive scaling of the Kinetic Model and using the method of moments, we formally obtain from the continuity and momentum balance equations of the species, in the limit as the scaling parameter goes to zero, the Maxwell-Stefan diffusion equations, with an explicit expression for the diffusion coefficients.
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from the simple reacting sphere Kinetic Model to the reaction diffusion system of maxwell stefan type
arXiv: Fluid Dynamics, 2017Co-Authors: Benjamin Anwasia, Patricia Goncalves, Ana Jacinta SoaresAbstract:In this paper we perform a formal asymptotic analysis on a Kinetic Model for reactive mixtures in order to derive a reaction-diffusion system of Maxwell-Stefan type. More specifically, we start from the Kinetic Model of simple reacting spheres for a quaternary mixture of monatomic ideal gases that undergoes a reversible chemical reaction of bimolecular type. Then, we consider a scaling describing a physical situation in which mechanical collisions play a dominant role in the evolution process, while chemical reactions are slow, and compute explicitly the production terms associated to the concentration and momentum balance equations for each species in the reactive mixture. Finally, we prove that, under isothermal assumptions, the limit equations for the scaled Kinetic Model is the reaction diffusion system of Maxwell-Stefan type.
Jinsen Gao - One of the best experts on this subject based on the ideXlab platform.
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Seven-lump Kinetic Model for catalytic pyrolysis of heavy oil
Catalysis Communications, 2007Co-Authors: Xianghai Meng, Jinsen GaoAbstract:Abstract A 7-lump Kinetic Model is proposed to describe the catalytic pyrolysis of heavy oil. The Kinetic Model contains 15 Kinetic constants and one for catalyst deactivation. The experimental data were obtained in a confined fluidized bed reactor. The Kinetic constants were estimated by a special program compiled based on the Marquardt’s algorithm. The apparent activation energies were calculated according to the Arrhenius equation. This Model fits the experimental data well. The prediction shows that catalytic pyrolysis of Chinese Daqing atmospheric residue should be conducted at low space velocity to produce much ethene and at space velocity around 15 h −1 to produce much propene and butene.
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Catalytic pyrolysis of heavy oils : 8-lump Kinetic Model
Applied Catalysis A: General, 2006Co-Authors: Xianghai Meng, Jinsen GaoAbstract:Abstract A new 8-lump Kinetic Model is proposed to describe the heavy oil catalytic pyrolysis process. The Kinetic Model contains 17 Kinetic constants and one for catalyst deactivation. This paper also presents a new catalyst deactivation Model, a function of feed properties and operating conditions, in which the deactivation constant doesn’t vary with reaction temperature. Kinetic constants and apparent activation energies were determined by the least square regression analysis of the experimental data, obtained in a confined fluidized bed reactor at temperatures of 600, 630, 660 and 700 °C. Most of the apparent activation energies are higher than 100 kJ/mol, between the apparent activation energies for catalytic cracking and those for thermal cracking. The predicted results indicate that catalytic pyrolysis of heavy oils had better be conducted at high temperature and short residence time of oil gas, and heavy oils with the aromaticity higher than 30% had better not be considered as the feeds of catalytic pyrolysis.
