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Mathematical Modelling Living Systems Regulatory Mechanisms at the Norm and Anomalies

Received: 21 November 2017     Accepted: 1 December 2017     Published: 10 January 2018
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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.

Published in Software Engineering (Volume 5, Issue 6)
DOI 10.11648/j.se.20170506.12
Page(s) 88-93
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2018. Published by Science Publishing Group

Keywords

Computer Modeling, Regulatory Mechanisms, Mathematical Modeling, Qualitative and Quantitative Analysis, Chaos, Nonlinear Dynamics

References
[1] Hidirov, B. N. (2014). Selected works on mathematical modeling for regulation of living systems. Moscow: ICI. 304. (In Russ.).
[2] Saidalieva M. (2003). Modelling of Regulation Mechanisms of Cellular Communities // Scientiae Mathematicae Japonicae. Published bimonthly by International Society for Mathematical Sciences. Kyoto University – Japan. 58 (2): 415-421.
[3] Abduvaliev A., Saydalieva M., Hidirova M., Gildieva М. (2015). Mathematical Modeling of the Thyroid Regulatory Mechanisms // American Journal of Medicine and Medical Sciences. USA. 3 (3): 28-32.
[4] Saidalieva M. (2006). Simulation of cellular communities mechanisms // Scientiae Mathematicae Japonicae. Published bimonthly by International Society for Mathematical Sciences. Kyoto University - Japan. 64 (2): 469-478.
[5] Saatov T. S., Hidirov B. N., Saidalieva M., Hidirova M. B. (2006). Mathematical Modeling of Apoptosis Regulatory Mechanisms // World Scientific Books. 1-17.
[6] Aliev B. R., Hidirov B. N., Saidalieva M., Hidirova M. (2007). Quantitative Study of Cellular Mechanisms of HIV Infection’s Pathogenesis // Engineering Letters. 13 (3): 304-307.
[7] Aliev B. R., Hidirov B. N., Saidalieva M., Hidirova M. B. (2007). Mathematical and computer modeling of molecular-genetic mechanisms of liver cells infection by hepatitis B virus // World Scientific Books. 89-103.
[8] Saidalieva M., Hidirova M. B. (2014). Functional-differential equations of biological communities regulatorika. // ISJ Theoretical & Applied Science. 4 (12): 7-11.
[9] Saidalieva M. (2008). Mathematical and Computer Modelling Regulatorika of Organisms Cellular Communities at Anomalies // Scientiae Mathematicae Japonicae. Japan. Published bimonthly by International Society for Mathematical Sciences, Kyoto University. 67 (2): 161-171.
[10] Hidirova M. B., Saidalieva M. (2017). Regulatorika of the immune system at the cellular level at the norm and tumor process. ISJ Theoretical & Applied Science. 09 (53): 113-118.
[11] Hidirova M. B., Shakarov A. R. (2017). Mathematical modeling regulatory mechanisms of immune reactions at skin anomalies. ISJ Theoretical & Applied Science. 09 (53): 119-124.
[12] Hidirova M., Yusupova Z. (2017). Mathematical Model of the Regulatory Mechanisms of Heart for Quantitative Analyzing of Big Data // The 4th international conference on big data applications and services (BIGDAS2017). 257-263.
[13] Abduvaliev A. A., Gildieva M. S., Saidalieva M. Hidirova M. B. (2017). Possibilities of mathematical modeling of the regulatorycs of the immune system in carcinogenesis // Abstracts of the Uzbek-Israel international scientific conference “Contemporary problems in mathematics and physics”. 13-14.
[14] Saidalieva M. Hidirova M. B. (2017). Regulatorika of biological excitable media // Abstracts of the Uzbek-Israel international scientific conference “Contemporary problems in mathematics and physics”. 104-105.
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  • APA Style

    Mahruy Saidalieva, Mohiniso Baxromovna Hidirova. (2018). Mathematical Modelling Living Systems Regulatory Mechanisms at the Norm and Anomalies. Software Engineering, 5(6), 88-93. https://doi.org/10.11648/j.se.20170506.12

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    ACS Style

    Mahruy Saidalieva; Mohiniso Baxromovna Hidirova. Mathematical Modelling Living Systems Regulatory Mechanisms at the Norm and Anomalies. Softw. Eng. 2018, 5(6), 88-93. doi: 10.11648/j.se.20170506.12

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    AMA Style

    Mahruy Saidalieva, Mohiniso Baxromovna Hidirova. Mathematical Modelling Living Systems Regulatory Mechanisms at the Norm and Anomalies. Softw Eng. 2018;5(6):88-93. doi: 10.11648/j.se.20170506.12

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  • @article{10.11648/j.se.20170506.12,
      author = {Mahruy Saidalieva and Mohiniso Baxromovna Hidirova},
      title = {Mathematical Modelling Living Systems Regulatory Mechanisms at the Norm and Anomalies},
      journal = {Software Engineering},
      volume = {5},
      number = {6},
      pages = {88-93},
      doi = {10.11648/j.se.20170506.12},
      url = {https://doi.org/10.11648/j.se.20170506.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.se.20170506.12},
      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.},
     year = {2018}
    }
    

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  • TY  - JOUR
    T1  - Mathematical Modelling Living Systems Regulatory Mechanisms at the Norm and Anomalies
    AU  - Mahruy Saidalieva
    AU  - Mohiniso Baxromovna Hidirova
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    N1  - https://doi.org/10.11648/j.se.20170506.12
    DO  - 10.11648/j.se.20170506.12
    T2  - Software Engineering
    JF  - Software Engineering
    JO  - Software Engineering
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    PB  - Science Publishing Group
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    UR  - https://doi.org/10.11648/j.se.20170506.12
    AB  - 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.
    VL  - 5
    IS  - 6
    ER  - 

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Author Information
  • Scientific and Innovation Center of Information and Communication Technologies, Tashkent University of Information Technologies Named After Muhammad Al-Khwarizmi, Tashkent, Uzbekistan

  • Scientific and Innovation Center of Information and Communication Technologies, Tashkent University of Information Technologies Named After Muhammad Al-Khwarizmi, Tashkent, Uzbekistan

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