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- Title
Computational Modeling of Two Scenarios of Extreme Development of Biophysical Processes under a Regulated Control Strategy.
- Authors
Perevaryukha, A. Yu.
- Abstract
In an interdisciplinary study, a hybrid computational model is developed based on dynamically redefined systems of differential equations to describe classified special forms of development of biophysical processes, which often arise as a result of the choice of nonoptimal regulation and the application of a risky strategy for managing biosystem resources. Large-scale abrupt changes in development that are difficult to predict are observed for various biophysical processes. Critical phenomena are noted during the development of an immune response to a viral infection (cytokine storm) and the introduction of fishing for populations of large predators, which are the highest links in trophic chains. In a number of situations, sudden threshold effects in the development of biophysical processes are noted that are similar to phase transitions. Extreme phenomena of crises for populations can develop in different ways. In computational models, taking into account the stages of development, two different scenarios of population processes with an adjustable control strategy are considered, which lead to a rapid crisis. A comparative analysis of two model scenarios was carried out based on statistical data on real events in two crisis biosystems: the Caspian Sea and the North Atlantic. The similarities and differences between these two situations are shown on the basis of qualitative changes in the modes of behavior of the discrete component of the trajectory of a hybrid dynamical system. Interestingly, a crisis may be preceded by a regime with intermediate chaotic dynamics. Methods for improving the mechanisms of regulation for biophysical processes with pronounced threshold effects are proposed.
- Subjects
COMPUTATIONAL neuroscience; CYTOKINE release syndrome; DYNAMICAL systems; DIFFERENTIAL equations; VIRUS diseases; STATISTICS; FISHERIES
- Publication
Technical Physics, 2022, Vol 67, Issue 9, p661
- ISSN
1063-7842
- Publication type
Article
- DOI
10.1134/S1063784222090055