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Sustainability of Transient Kinetic Regimes and Origins of Death

استدامة الأنظمة الحركية العابرة وأصول الموت
Authors: Dmitry Yu. Zubarev; Leonardo A. Pachón;

Sustainability of Transient Kinetic Regimes and Origins of Death

Abstract

AbstractIt is generally recognized that a distinguishing feature of life is its peculiar capability to avoid equilibration. The origin of this capability and its evolution along the timeline of abiogenesis is not yet understood. We propose to study an analog of this phenomenon that could emerge in non-biological systems. To this end, we introduce the concept of sustainability of transient kinetic regimes. This concept is illustrated via investigation of cooperative effects in an extended system of compartmentalized chemical oscillators under batch and semi-batch conditions. The computational study of a model system shows robust enhancement of lifetimes of the decaying oscillations which translates into the evolution of the survival function of the transient non-equilibrium regime. This model does not rely on any form of replication. Rather, it explores the role of a structured effective environment as a contributor to the system-bath interactions that define non-equilibrium regimes. We implicate the noise produced by the effective environment of a compartmentalized oscillator as the cause of the lifetime extension.

Country
United States
Keywords

Molecular Networks (q-bio.MN), Engineering, Dynamics of Synchronization in Complex Networks, Nonequilibrium Systems, Quantitative Biology - Molecular Networks, Classical mechanics, Autocatalytic reaction, Transient (computer programming), Ecology, Physics, Statistics, Life Sciences, Nonlinear Sciences - Adaptation and Self-Organizing Systems, Timeline, Stochasticity in Gene Regulatory Networks, Sustainability, Physical Sciences, Adaptation and Self-Organizing Systems (nlin.AO), Computer Networks and Communications, FOS: Physical sciences, 530, Quantum mechanics, Article, Physics - Chemical Physics, Biochemistry, Genetics and Molecular Biology, FOS: Mathematics, Stochastic Thermodynamics and Fluctuation Theorems, Molecular Biology, Biology, Chemical Physics (physics.chem-ph), Statistical and Nonlinear Physics, Phenomenon, Models, Theoretical, Computer science, Kinetics, Biochemical engineering, Operating system, Models, Chemical, Physics and Astronomy, Biological system, FOS: Biological sciences, Computer Science, Statistical physics, Kinetic energy, Mathematics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
gold