Simulation and evaluation of biological systems adaptive capabilities

Opis bibliograficzny
Parent link:Mechanical Engineering, Automation and Control Systems (MEACS).— 2014.— [4 p.]
1. autor: Berestneva O. G. Olga Grigorievna
Korporacja: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра прикладной математики (ПМ)
Kolejni autorzy: Pekker Ja. S. Jakob Semenowitsch
Streszczenie:Title screen
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.
Режим доступа: по договору с организацией-держателем ресурса
Język:angielski
Wydane: 2014
Hasła przedmiotowe:
Dostęp online:http://dx.doi.org/10.1109/MEACS.2014.6986860
Format: Elektroniczne Rozdział
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=648952

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330 |a 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. 
333 |a Режим доступа: по договору с организацией-держателем ресурса 
463 0 |0 (RuTPU)RU\TPU\network\3200  |t Mechanical Engineering, Automation and Control Systems (MEACS)  |o proceedings of the International Conference, Tomsk, 16-18 October, 2014  |f National Research Tomsk Polytechnic University (TPU) ; Institute of Electrical and Electronics Engineers (IEEE)  |v [4 p.]  |d 2014 
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610 1 |a энтропия 
610 1 |a entropy 
610 1 |a diseases 
610 1 |a biological system modeling 
610 1 |a adaptation models 
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