Volume 5, Issue 6, November 2017, Page: 88-93
Mathematical Modelling Living Systems Regulatory Mechanisms at the Norm and Anomalies
Mahruy Saidalieva, Scientific and Innovation Center of Information and Communication Technologies, Tashkent University of Information Technologies Named After Muhammad Al-Khwarizmi, Tashkent, Uzbekistan
Mohiniso Baxromovna Hidirova, Scientific and Innovation Center of Information and Communication Technologies, Tashkent University of Information Technologies Named After Muhammad Al-Khwarizmi, Tashkent, Uzbekistan
Received: Nov. 21, 2017;       Accepted: Dec. 1, 2017;       Published: Jan. 10, 2018
DOI: 10.11648/j.se.20170506.12      View  1133      Downloads  37
Abstract
The purpose of this paper is to develop methodology for living system regulatorika under norm and diseases based on the ORASTA concept which consists of the operator-regulator OR (capable to accept, recycle and transfer signals) and ASTA (active system with time average, carrying out a feedback loop in system for finite time). The paper draws on results made by using methods of quantitative and qualitative analysis of ORASTA equations. The paper concludes that living systems have the following regimes: rest, stable stationary state, regular oscillations which can be identified as normal condition and irregular fluctuations with destructive changes conform to diseases. The paper provides new methods, laws able to describe regulatory mechanisms in biosystem at the norm and anomalies taking into account spatial and temporal relations.
Keywords
Computer Modeling, Regulatory Mechanisms, Mathematical Modeling, Qualitative and Quantitative Analysis, Chaos, Nonlinear Dynamics
To cite this article
Mahruy Saidalieva, Mohiniso Baxromovna Hidirova, Mathematical Modelling Living Systems Regulatory Mechanisms at the Norm and Anomalies, Software Engineering. Vol. 5, No. 6, 2017, pp. 88-93. doi: 10.11648/j.se.20170506.12
Copyright
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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