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The method of modelling of a compact bone tissue microstructure is presented. The modelling sample is considered as set of the structural elements containing reinforcing element – osteon and a matrix. The form of structural elements is defined by distances to next osteons and directions of next osteons arrangement. Calculation of the stress and strain state of the modelling sample is carried out at tension in program complex ANSYS. Results of calculation have shown, that haversian canals are stress concentrators.

A vector-matrix approach to the theoretical design of metabolic pathways converting chemical compounds, viz., preset substrates, into desirable products is described. It is a mathematical basis for computer–aided generation of alternative biochemical reaction sets executing the given substrate–product conversion. The pathways are retrieved from the used database of biochemical reactions and utilize the reaction stoichiometry and restrictions based on the irreversibility of a part of them. Particular attention is paid to the analysis of restriction interrelations. It is shown that the number of restrictions can be notably reduced due to the existence of families of parallel restricting planes in the space of reaction flows. Coinciding planes of contradirectional restrictions result in the existence of fixed reaction flow values. The problem of exclusion of so called futile cycles is also considered. Utilization of these factors allows essential lowering of the problem complexity and necessary computational resources. An example of alternative biochemical pathway computation for conversion of glucose and glycerol into succinic acid is given. It is found that for a preset “substrate–product” pair many pathways have the same high-energy bond balance.

For the production of purified final product in chemical engineering used the process of desublimation. For this purpose, the tank is cooled by liquid nitrogen or cold air. The mixture of gases flows inside the tank and is cooled to the condensation or desublimation temperature some components of the gas mixture. The condensed components are deposited on the walls of the tank. The article presents a mathematical model to calculate the cooling air tanks for desublimation of vapours. A mathematical model based on equations of gas dynamics and describes the movement of cooled air in the duct and the heat exchanger with heat exchange and friction. The heat of the phase transition is taken into account in the boundary condition for the heat equation by setting the heat flux. Heat transfer in the walls of the pipe and in the tank wall is described by the nonstationary heat conduction equations. The solution of the system of equations is carried out numerically. The equations of gas dynamics are solved by the method of S. K. Godunov. The heat equation are solved by an implicit finite difference scheme. The article presents the results of calculations of the cooling of two successively installed tanks. The initial temperature of the tanks is equal to 298 K. Cold air flows through the tubing, through the heat exchanger of the first tank, then through conduit to the heat exchanger second tank. During the 20 minutes of tank cool down to operating temperature. The temperature of the walls of the tanks differs from the air temperature not more than 1 degree. The flow of cooling air allows to maintain constant temperature of the walls of the tank in the process of desublimation components from a gas mixture. The results of analytical evaluation of the time of cooling tank and temperature difference between the tank walls and air with the vapor desublimation. Analytical assessment is based on determining the time of heat relaxation temperature of the tank walls. The results of evaluations are satisfactorily coincide with the results of calculations by the present model. The proposed approach allows calculating the cooling tanks with a flow of cold air supplied via the pipeline system.

Different versions of the shifting mode of reproduction models describe set of the macroeconomic production subsystems interacting with each other, to each of which there corresponds the household. These subsystems differ among themselves on age of the fixed capital used by them as they alternately stop production for its updating by own forces (for repair of the equipment and for introduction of the innovations increasing production efficiency). It essentially distinguishes this type of models from the models describing the mode of joint reproduction in case of which updating of fixed capital and production of a product happen simultaneously. Models of the shifting mode of reproduction allow to describe mechanisms of such phenomena as cash circulations and amortization, and also to describe different types of monetary policy, allow to interpret mechanisms of economic growth in a new way. Unlike many other macroeconomic models, model of this class in which the subsystems competing among themselves serially get an advantage in comparison with the others because of updating, essentially not equilibrium. They were originally described as a systems of ordinary differential equations with abruptly varying coefficients. In the numerical calculations which were carried out for these systems depending on parameter values and initial conditions both regular, and not regular dynamics was revealed. This paper shows that the simplest versions of this model without the use of additional approximations can be represented in a discrete form (in the form of non-linear mappings) with different variants (continuous and discrete) financial flows between subsystems (interpreted as wages and subsidies). This form of representation is more convenient for receipt of analytical results as well as for a more economical and accurate numerical calculations. In particular, its use allowed to determine the entry conditions corresponding to coordinated and sustained economic growth without systematic lagging in production of a product of one subsystems from others.

Modern approach to modernization of the experimental techniques involves design of mathematical models of the wind-tunnel, which are also referred to as Electronic of Digital Wind-Tunnels. They are meant to supplement experimental data with computational analysis. Using Electronic Wind-Tunnels is supposed to provide accurate information on aerodynamic performance of an aircraft basing on a set of experimental data, to obtain agreement between data from different test facilities and perform comparison between computational results for flight conditions and data with the presence of support system and test section.

Completing this task requires some preliminary research, which involves extensive wind-tunnel testing as well as RANS-based computational research with the use of supercomputer technologies. At different stages of computational investigation one may have to model not only the aircraft itself but also the wind-tunnel test section and the model support system. Modelling such complex geometries will inevitably result in quite complex vertical and separated flows one will have to simulate. Another problem is that boundary layer transition is often present in wind-tunnel testing due to quite small model scales and therefore low Reynolds numbers.

In the current article the first stage of the Electronic Wind-Tunnel design program is covered. This stage involves computational investigation of aerodynamic characteristics of the generic flying-wing UAV model previously tested in TsAGI T-102 wind-tunnel. Since this stage is preliminary the model was simulated without taking test-section and support system geometry into account. The boundary layer was considered to be fully turbulent.

For the current research FlowVision computational code was used because of its automatic grid generation feature and stability of the solver when simulating complex flows. A two-equation k–ε turbulence model was used with special wall functions designed to properly capture flow separation. Computed lift force and drag force coefficients for different angles-of-attack were compared to the experimental data.

We build new tests which permit to increase the human capacity for the information processing by the parallel execution of the several logic operations of prescribed type. For checking of the causes of the capacity increasing we develop the check tests on the same logic operations class in which the parallel organization of the calculations is low-effectively. We use the apparatus of the universal algebra and automat theory. This article is the extension of the cycle of the work, which investigates the human capacity for the parallel calculations. The general publications on this theme content in the references. The tasks in the described tests may to define in the form of the calculation of the result in the sequence of the same type operations from some algebra. If this operation is associative then the parallel calculation is effectively by successful grouping of process. In Theory of operations that is the using the simultaneous work several processors. Each processor transforms in the time unit the certain known number of the elements of the input date or the intermediate results (the processor productivity). Now it is not known what kind elements of date are using by the brain for the logical or mathematical calculation, and how many elements are treating in the time units. Therefore the test contains the sequence of the presentations of the tasks with different numbers of logical operations in the fixed alphabet. That is the measure of the complexity for the task. The analysis of the depending of the time for the task solution from the complexity gives the possible to estimate the processor productivity and the form of the calculate organization. For the sequence calculations only one processor is working, and the time of solution is a line function of complexity. If the new processors begin to work in parallel when the complexities of the task increase than the depending of the solution time from complexity is represented by the curve which is convex at the bottom. For the detection of situation when the man increases the speed of the single processor under the condition of the increasing complexity we use the task series with similar operations but in the no associate algebra. In such tasks the parallel calculation is little affectivity in the sense of the increasing efficiency by the increasing the number of processors. That is the check set of the tests. In article we consider still one class of the tests, which are based on the calculation of the trajectory of the formal automat state if the input sequence is determined. We investigate the special class of automats (relay) for which the construction affect on the affectivity of the parallel calculations of the final automat state. For all tests we estimate the affectivity of the parallel calculation. This article do not contained the experiment results.

A mathematical model describing the irreversible processes of polarization and deformation of polycrystalline ferroelectrics in external electric and mechanical fields of high intensity is presented, as a result of which the internal structure changes and the properties of the material change. Irreversible phenomena are modeled in a three-dimensional setting for the case of simultaneous action of an electric field and mechanical stresses. The object of the research is a representative volume in which the residual phenomena in the form of the induced and irreversible parts of the polarization vector and the strain tensor are investigated. The main task of modeling is to construct constitutive relations connecting the polarization vector and strain tensor, on the one hand, and the electric field vector and mechanical stress tensor, on the other hand. A general case is considered when the direction of the electric field may not coincide with any of the main directions of the tensor of mechanical stresses. For reversible components, the constitutive relations are constructed in the form of linear tensor equations, in which the modules of elasticity and dielectric permeability depend on the residual strain, and the piezoelectric modules depend on the residual polarization. The constitutive relations for irreversible parts are constructed in several stages. First, an auxiliary model was constructed for the ideal or unhysteretic case, when all vectors of spontaneous polarization can rotate in the fields of external forces without mutual influence on each other. A numerical method is proposed for calculating the resulting values of the maximum possible polarization and deformation values of an ideal case in the form of surface integrals over the unit sphere with the distribution density obtained from the statistical Boltzmann law. After that the estimates of the energy costs required for breaking down the mechanisms holding the domain walls are made, and the work of external fields in real and ideal cases is calculated. On the basis of this, the energy balance was derived and the constitutive relations for irreversible components in the form of equations in differentials were obtained. A scheme for the numerical solution of these equations has been developed to determine the current values of the irreversible required characteristics in the given electrical and mechanical fields. For cyclic loads, dielectric, deformation and piezoelectric hysteresis curves are plotted.

The developed model can be implanted into a finite element complex for calculating inhomogeneous residual polarization and deformation fields with subsequent determination of the physical modules of inhomogeneously polarized ceramics as a locally anisotropic body.

The work is devoted to the description of the author’s formal statements of the clustering problem for a given number of clusters, algorithms for their solution, as well as the results of using this toolkit in medicine.

The solution of the formulated problems by exact algorithms of implementations of even relatively low dimensions before proving optimality is impossible in a finite time due to their belonging to the NP class.

In this regard, we have proposed a hybrid algorithm that combines the advantages of precise methods based on clustering in paired distances at the initial stage with the speed of methods for solving simplified problems of splitting by cluster centers at the final stage. In the development of this direction, a sequential hybrid clustering algorithm using random search in the paradigm of swarm intelligence has been developed. The article describes it and presents the results of calculations of applied clustering problems.

To determine the effectiveness of the developed tools for optimal clustering of multidimensional objects according to a variety of heterogeneous indicators, a number of computational experiments were performed using data sets including socio-demographic, clinical anamnestic, electroencephalographic and psychometric data on the cognitive status of patients of the cardiology clinic. An experimental proof of the effectiveness of using local search algorithms in the paradigm of swarm intelligence within the framework of a hybrid algorithm for solving optimal clustering problems has been obtained.

The results of the calculations indicate the actual resolution of the main problem of using the discrete optimization apparatus — limiting the available dimensions of task implementations. We have shown that this problem is eliminated while maintaining an acceptable proximity of the clustering results to the optimal ones. The applied significance of the obtained clustering results is also due to the fact that the developed optimal clustering toolkit is supplemented by an assessment of the stability of the formed clusters, which allows for known factors (the presence of stenosis or older age) to additionally identify those patients whose cognitive resources are insufficient to overcome the influence of surgical anesthesia, as a result of which there is a unidirectional effect of postoperative deterioration of complex visual-motor reaction, attention and memory. This effect indicates the possibility of differentiating the classification of patients using the proposed tools.

In this paper, a mathematical model of cellular tissue dynamics is considered. The first part gives the conclusion of the model, the main provisions and the formulation of the problem. In the second part, the final system is investigated numerically and the simulation results are presented. It is postulated that cellular tissue is a three-phase medium that consists of a solid skeleton (which is an extracellular matrix), cells and extracellular fluid. In addition, the presence of nutrients in the tissue is taken into account. The model is based on the equations of conservation of mass, taking into account mass exchange, the equations of conservation of momentum for each phase, as well as the diffusion equation for nutrients. The equation describing the cellular phase also takes into account the term describing the chemical effect on the tissue, which is called chemotaxis — the movement of cells caused by a gradient in the concentration of chemicals. The initial system of equations is reduced to a system of three equations for finding porosity, cell saturation and nutrient concentration. These equations are supplemented by initial and boundary conditions. In the one-dimensional case, the distribution of porosity, concentration of the cell phase and nutrients is set at the initial moment of time. A constant concentration of nutrients is set on the left border, which corresponds, for example, to the supply of oxygen from the vessel, as well as the flow of cell concentration on it is zero. Two types of conditions are considered at the right boundary: the first is the condition of impermeability of the right boundary, the second is the condition of constant concentration of the cell phase and zero flow of nutrient concentration. In both cases, the conditions for the matrix and extracellular fluid are the same, it is assumed that there is a source of nutrients (blood vessel) on the left border of the modeling area. As a result of modeling, it was revealed that chemotaxis has a significant effect on tissue growth. In the absence of chemotaxis, the compaction zone extends to the entire modeling area, but with an increase in the effect of chemotaxis on the tissue, a degradation area is formed in which the concentration of cells becomes lower than the initial one.

The key problems of remote forest pathology monitoring for coniferous forests affected by insect pests have been analyzed. It has been demonstrated that addressing these tasks requires the use of multiclass classification results for coniferous trees in high- and ultra-high-resolution images, which are promptly obtained through monitoring via satellites or unmanned aerial vehicles (UAVs). An analytical review of modern models and methods for multiclass classification of coniferous forest images was conducted, leading to the development of three fully convolutional neural network models: Mo-U-Net, At-Mo-U-Net, and Res-Mo-U-Net, all based on the classical U-Net architecture. Additionally, the Segformer transformer model was modified to suit the task. For RGB images of fir trees Abies sibirica affected by the four-eyed bark beetle Polygraphus proximus, captured using a UAV-mounted camera, two datasets were created: the first dataset contains image fragments and their corresponding reference segmentation masks sized 256 × 256 × 3 pixels, while the second dataset contains fragments sized 480 × 480 × 3 pixels. Comprehensive studies were conducted on each trained neural network model to evaluate both classification accuracy for assessing the degree of damage (health status) of Abies sibirica trees and computation speed using test datasets from each set. The results revealed that for fragments sized 256 × 256 × 3 pixels, the At-Mo-U-Net model with an attention mechanism is preferred alongside the Modified Segformer model. For fragments sized 480 × 480 × 3 pixels, the Res-Mo-U-Net hybrid model with residual blocks demonstrated superior performance. Based on classification accuracy and computation speed results for each developed model, it was concluded that, for production-scale multiclass classification of affected fir trees, the Res-Mo-U-Net model is the most suitable choice. This model strikes a balance between high classification accuracy and fast computation speed, meeting conflicting requirements effectively.