Mathematical Modelling Living Systems Regulatory Mechanisms at the Norm and Anomalies

Mahruy Saidalieva; Mohiniso Baxromovna Hidirova

doi:doi:10.11648/j.se.20170506.12

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Mathematical Modelling Living Systems Regulatory Mechanisms at the Norm and Anomalies

Mahruy Saidalieva, Mohiniso Baxromovna Hidirova

Published in Software Engineering (Volume 5, Issue 6)

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
Y1  - 2018/01/10
PY  - 2018
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
SP  - 88
EP  - 93
PB  - Science Publishing Group
SN  - 2376-8037
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

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

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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

Copy | Download

@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}
}

Copy | Download

TY  - JOUR
T1  - Mathematical Modelling Living Systems Regulatory Mechanisms at the Norm and Anomalies
AU  - Mahruy Saidalieva
AU  - Mohiniso Baxromovna Hidirova
Y1  - 2018/01/10
PY  - 2018
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
SP  - 88
EP  - 93
PB  - Science Publishing Group
SN  - 2376-8037
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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