At the turn of the 20th and 21st centuries, the statistical uncertainty of samples of any parameters of biosystems was proved. This was predicted in 1948 by W. Weaver, and now such an uncertainty (of the second type) is called the Eskov-Zinchenko effect. In fact, this uncertainty is analogous to the Heisenberg uncertainty principle in quantum mechanics. The problem of modeling such uncertainty arises within the framework of modern deterministic and stochastic science. This article shows the possibilities of compartment-cluster modeling of systems of the third type (according to W. Weaver), i.e. uncertainties of the second type.
The effect of low-frequency electromagnetic fields on the human body of those working in the North of the Russian Federation in many cases remains difficult to identify. The reaction of the cardiovascular system to this factor in many cases is rather difficult to register within the framework of traditional statistics. However, it is possible to use artificial neural networks in two new modes. In this case, for each feature separation procedure xi(t), we set the initial values of the weights wio of the features xi(t) chaotically, i.e. wio ∈ (0, 1). We repeat the neural network setup many times (at least 1000 iterations) and the resulting samples xi(t) are ranked. If the weights wi after 1000 iterations show values above the statistical mean <wj> ≥ 0.05, then such j-th features can be considered the main (or order parameters). As a result, we have now formalized the procedure for finding the order parameters, that is, we have formalized the system synthesis (finding the main features).
Analysis of North environmental factors and they influence on human body have special problem according to absent of statistic stability of any samples parameters. Now it is known as Eskov-Zinchenko effect and the effect needs new theory and new methods for description of specific behavior of biosystems. So we presented the Eskov-Zinchenko effect and new methods of system synthesis. The last method is based on investigation of order parameters and calculation of a special model for cardiointervals aging dynamic and its descriptions.
The motion of state vector of cardiovascular system in females working on Surgut condensate stabilization plant was studied in five-dimensional phase space of states. The parameters xi of cardiovascular system in four groups of women varied within the range of VG - bounding volumes of the phase space of states, which was defined as quasi-attractor. The volumes VG were measured and compared in women of different age, affected and not affected by human-made electromagnetic fields of industrial frequency, which allowed establishing the principal differences in the dynamics of VG. In particular, women, both younger and older age groups underwent stress effect of electromagnetic fields of industrial frequency. This led to breakdown in volume of quasi-attractors in phase plane of vector (x1, x2)T where x1 - duration of cardiointervals, and x2 = dx1/dt - rate of change of x1. In fact, electromagnetic fields became stress agents for human's cardiovascular system in the North of Russian. This is shown in the framework of quasi-attractors for cardio of two groups of women. Comparison of these four groups according to the parameters of quasi-attractors showed differences though statistical differences were not significant on a number of xi parameters of whole the body state vector x (f) of person's organism living in the special northern conditions.
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