Recognition of Stages in the Belousov-Zhabotinsky Reaction Using Information Entropy

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F17%3A43895364" target="_blank" >RIV/60076658:12310/17:43895364 - isvavai.cz</a>

Alternative codes found

RIV/60076658:12520/17:43895364

Result on the web

<a href="https://link.springer.com/chapter/10.1007/978-3-319-56148-6_29" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-56148-6_29</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-56148-6_29" target="_blank" >10.1007/978-3-319-56148-6_29</a>

Result language

angličtina

Original language name

Recognition of Stages in the Belousov-Zhabotinsky Reaction Using Information Entropy

Original language description

A common property of a living organism as a nonequilibrium dynamic system is the self-organization including the evolution of this self-organized system through distinct consecutive stages. In this article, the properties of dynamic self-organization is examined on a primitive model of life ? the oscillating Belousov-Zhabotinsky (BZ) reaction. This system is sensitive to the changes of external conditions by dynamic reorganization of chemical waves. The generated patterns bring the information on history of the reaction evolution. We performed the pattern classification using calculation of the point information gain entropy density followed by multivariate statistical analysis. It was proved by numerous experiments that each obtained cluster is related to a unique reaction stage with characteristic concentrations of the reactants. The reliability makes this method promising for application to the recognition of stages in variety of complex systems. The results obtained via visual inspection of 6 parallel image series of the BZ reaction together with their statistical analysis approximate cell physiology during development and differentiation of tissues ? a small change in the initial conditions leads to a different development of the cell population. This finding also explains a lower reproducibility of measurements of biological systems.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Lecture Notes in Computer Science

ISBN

978-3-319-56147-9

ISSN

0302-9743

e-ISSN

neuvedeno

Number of pages

12

Pages from-to

335-346

Publisher name

Springer Verlag

Place of publication

Cham

Event location

Granada, Španělsko

Event date

Apr 26, 2017

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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