[Interhemispheric differences in mechanisms of recognizing faces, transformed by turning].
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Biomedical subjects
Publications and source records attributed to V V Menshutkin.
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A computer simulation has been developed for the dynamics of forest communities and abundance of wild animals in the Bieszczad mountain region (Carpathians, Southern Poland) at the background of changing quality of water resulting from the development of tourism and agriculture. The simulation operates on scaled variables in the 0-1 range. The functional relationships in the simulation were determined by the Delphi evaluation. The simulation was used to consider scenarios of various environmental influences of the region-climatic factors (warming and changed rainfall) as well as anthropogenic disturbances (development of tourism, agriculture, and commercial hunting). The simulation can be adapted for other regions.
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The computer model of two alternative variants of biological evolution is proposed. The first variant supposes random while the second--directed change of individual features, thus corresponding to the Darwinian and non-Darwinian evolution. The evolution of fish communities in fresh waters serves as a particular example. The model is executed using object-oriented method of programming and mathematical apparatus of fuzzy logics. The investigation of the model showed that process of Darwinian evolution is connected with significantly greater species diversity and variability of evolutionary process trajectories than non-Darwinian one. On the other hand, non-Darwinian type of evolution provides fast achievement of high individual fitness, especially under conditions of constant environment. Non-Darwinian type evolution failed in big evolutionary alteration (for example, transition to predation); while the Darwinian evolution under the same conditions can produce such alterations though it took more time and many extinct species. Phylogenetic tree of Darwinian evolution is always more complex than of non-Darwinian one under the same conditions.
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The discussed model is designed for investigation of peculiarities and dynamics of the growth of evolutionary trees. The model is realized in FORTRAN, properties and principles of interaction of populations being the basis of this model. The results obtained reveal an extreme dependence of the pattern of evolutionary process from the parameters of competition, as well as the fact that evolutionary trees plotted with incomplete number of characters may be entirely different from real ones. It is concluded that many of the known evolutionary phenomena may be sufficiently described by a quantitative model based on the Darwinian principles.
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