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

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/60076658:12520/17:43895364

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

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

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

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

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

Lecture Notes in Computer Science

ISBN

978-3-319-56147-9

ISSN

0302-9743

e-ISSN

neuvedeno

Počet stran výsledku

12

Strana od-do

335-346

Název nakladatele

Springer Verlag

Místo vydání

Cham

Místo konání akce

Granada, Španělsko

Datum konání akce

26. 4. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—