DocumentCode
1767273
Title
Simulation and evaluation of biological systems adaptive capabilities
Author
Berestneva, O.G. ; Pekker, J.S.
Author_Institution
Inst. of Cybern., Tomsk Polytech. Univ., Tomsk, Russia
fYear
2014
fDate
16-18 Oct. 2014
Firstpage
1
Lastpage
4
Abstract
A person´s adaptivity to new natural or simulated working conditions can be defined as a set of social and biological properties and peculiarities required for the stability of a human organism in a definite ecological environment. It is necessary to harmonize the people´s interaction with their physical environment inherent to their nature. The main solution here is applying the biomedical science aimed at keeping and promoting the health of present generations as well as guaranteeing the good health of the future generations rather than at prognosticating diseases. Adaptivity exerts only in real-life conditions. This is a definite natural or simulated life environment, which requires the ultimate work of the organism potential adaptivity for surviving and living. Consequently, the adaptation of living systems is, in fact, the measure of individual health. Integrated assessment of biosystems used for modeling complex systems seems to be the most promising approach based on entropy methods.
Keywords
diseases; ecology; entropy; occupational health; physiological models; social sciences; biological peculiarity; biological properties; biological system adaptive capability evaluation; biological system adaptive capability simulation; biomedical science; biosystem assessment; complex system modeling; disease prognostics; ecological environment; entropy method; health promotion; individual health measurement; living system adaptation; natural life environment; natural working condition adaptivity; organism potential adaptivity; organism survival; people interaction harmonization; physical environment; simulated life environment; simulated working condition adaptivity; social peculiarity; social properties; stability; Adaptation models; Biological system modeling; Diseases; Entropy; Silicon; adaptation; assessment of biological systems; integral entropy type criteria;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechanical Engineering, Automation and Control Systems (MEACS), 2014 International Conference on
Conference_Location
Tomsk
Print_ISBN
978-1-4799-6220-4
Type
conf
DOI
10.1109/MEACS.2014.6986860
Filename
6986860
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