scholarly journals RESEARCH OF APPROACHES TO CONSTRUCTING PREDICTIVE MODELS OF THE SPREAD OF VIRAL DISEASES

2021 ◽  
Vol 2 ◽  
pp. 148-153
Author(s):  
Alex Samarkin ◽  
Iuliia Bruttan ◽  
Natalya Ivanova ◽  
Igor Antonov ◽  
Maria Bruttan
Keyword(s):  
Mathematical Models ◽  
Predictive Models ◽  
Mass Production ◽  
Regional Scale ◽  
Planning Horizon ◽  
Compartment Models ◽  
The Monte Carlo Method ◽  
Transport Connectivity ◽  
Multi Agent ◽  
The Russian Federation

The article is devoted to the analysis of the available mathematical models in epidemiology and the possibility of their modification. We note that the situation with the COVID-19 virus pandemic is characterized by several features not comprehensively studied in the existing models. For a rational response to existing challenges, it is necessary to have a predictive and analytical apparatus in the complex (national and regional scale) mathematical models with a planning horizon of 2 years (the expected period of mass production of vaccines). The article discusses the existing approaches to predicting the spread of the COVID-19 virus in Russia based on mathematical models of epidemics. The possibilities and limitations of the proposed approaches are considered. In the conditions of the Russian Federation, transport connectivity at the interregional and intraregional levels plays an important role, and for megalopolises - transport flows within large agglomerations and the age structure of the population. In contrast to previous pandemics and epidemics, public policy plays a significant role. The approach, which consist in building multi-agent models that combine the advantages of compartment models and models based on the Monte Carlo method (individually oriented) is proposed by the authors. It is planned to use compartment models to assess the dynamics of the process and individually-oriented models - at the level of individual territories and districts. 

DIFFRACTION ANALYSIS OF DEFORMED METALS: Theory, Methods, Programs

2019 ◽  
Author(s):  
Faina Satdarova
Keyword(s):  
Experimental Design ◽  
Dislocation Density ◽  
Mathematical Models ◽  
Diffraction Analysis ◽  
Experimental Research ◽  
Russian Federation ◽  
Statistical Estimation ◽  
X Rays ◽  
National University ◽  
The Russian Federation

General analysis of the distribution of crystals orientation and dislocation density in the polycrystalline system is presented. Recovered information in diffraction of X-rays adopting is new to structure states of polycrystal. Shear phase transformations in metals — at the macroscopic and microscopic levels — become a clear process. Visualizing the advances is produced by program included in package delivered. Mathematical models developing, experimental design, optimal statistical estimation, simulation the system under study and evolution process on loading serves as instrumentation. To reduce advanced methods to research and studies problem-oriented software will promote when installed. Automation programs passed a testing in the National University of Science and Technology “MISIS” (The Russian Federation, Moscow). You score an advantage in theoretical and experimental research in the field of physics of metals.

scholarly journals Multi-Agent Reinforcement Learning: A Review of Challenges and Applications

2021 ◽  
Vol 11 (11) ◽  
pp. 4948
Author(s):  
Lorenzo Canese ◽  
Gian Carlo Cardarilli ◽  
Luca Di Di Nunzio ◽  
Rocco Fazzolari ◽  
Daniele Giardino ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
Mathematical Models ◽  
Learning Algorithms ◽  
Single Agent ◽  
Critical Issues ◽  
Multi Agent ◽  
Pros And Cons ◽  
Application Fields

In this review, we present an analysis of the most used multi-agent reinforcement learning algorithms. Starting with the single-agent reinforcement learning algorithms, we focus on the most critical issues that must be taken into account in their extension to multi-agent scenarios. The analyzed algorithms were grouped according to their features. We present a detailed taxonomy of the main multi-agent approaches proposed in the literature, focusing on their related mathematical models. For each algorithm, we describe the possible application fields, while pointing out its pros and cons. The described multi-agent algorithms are compared in terms of the most important characteristics for multi-agent reinforcement learning applications—namely, nonstationarity, scalability, and observability. We also describe the most common benchmark environments used to evaluate the performances of the considered methods.

Digital Technology Advancements in Knowledge Management in Domestic Tour Products in the Russian Federation

2021 ◽  
pp. 135-148
Author(s):  
Vardan Mkrttchian ◽  
Viacheslav Voronin
Keyword(s):  
Artificial Intelligence ◽  
Knowledge Management ◽  
Supply Chain ◽  
Life Cycle ◽  
Russian Federation ◽  
Practical Implementation ◽  
Digital Twins ◽  
Software Modules ◽  
Multi Agent ◽  
The Russian Federation

This chapter discusses the capabilities with problem-oriented digital twin avatars, supply chain, volumetric hybrid, and federated-consistent blockchain use to the nature of knowledge. The goal of this chapter is a theoretical study and practical implementation in the form of basic models and software modules and artificial intelligence algorithms in managing the life cycle of an internal Russian tour product. A laboratory for digitization and management, using multi-agent models of intelligent digital twins-avatars, is created. The purpose of these studies is to solve a scientific problem.

Isothermal Displacement Processes With Interphase Mass Transfer

1967 ◽  
Vol 7 (02) ◽  
pp. 205-220 ◽  
Author(s):  
H.W. Price ◽  
D.A.T. Donohue
Keyword(s):  
Mass Transfer ◽  
Porous Medium ◽  
Fluid Flow ◽  
Mathematical Models ◽  
Predictive Models ◽  
Time Step ◽  
Two Phase ◽  
Simplifying Assumptions ◽  
Energy Equations ◽  
Displacement Processes

Abstract The system of equations describing displacement of a hydrocarbon liquid by a hydrocarbon vapor in a porous medium where mass transfer takes place between the phases is solved numerically for a variety of gas injection processes. Even though the method of solution is quite general, only systems with three hydrocarbon components are considered. Computer simulations of displacement processes wherein mass transfer between phases is both considered and neglected are compared, and it is shown that neglecting mass transfer can give pessimistic displacement efficiencies. Introduction The role of the gas displacement process in the recovery of petroleum has been subjected to a series of detailed analyses; as a result, a number of predictive models have been published in the literature. However, because of major simplifying assumptions, most of these models do not completely represent the physical system. As a result, the effect of making the simplifying assumptions is unknown. Therefore, a complete representation of this process one without major simplifying assumptions should lead to a full understanding of the process, and perhaps to methods of improving it. The general method of developing a model for two-phase fluid flow in a porous medium is to solve simultaneously the continuity equation, the energy equations and the equation-of-state for each phase under the prescribed initial and boundary conditions. For an isothermal system, the energy equations reduce to the momentum equation, Darcy's law. However, since natural gas is the vapor state of the reservoir liquid, interphase mass transfer may take place with concomitant changes in both the intensive and extensive thermodynamic properties of each phase. It is this phenomenon that has often been omitted in previous mathematical models. An additional relation, then, which accounts for mass transfer between the phases, must be included with the other equations to specify a complete model. Completely formulating the equations to be solved is not a difficult task but obtaining their solution has been intractable up to now. Availability of large-memory, high-speed digital computers now makes an attack on this formidable problem possible. This paper presents a preliminary study of the problem. Since this investigation is intended to be exploratory, it is restricted to the linear, horizontal, isothermal, two-phase viscous flow of oil and gas in an oil reservoir. In the early development of predictive models of this process, the reservoir system was considered as a unit and various forms of the material balance equation were proposed. Pressure and saturation gradients were than added in the Buckley-Leverett model. The Buckley-Leverett formulation considered the fluids to be incompressible; thus, the mathematical model reduces to a steady-state system. In the 1950's, studies incorporating numerical techniques were being published. These mathematical models differed in the efficiency of finite difference techniques, the inclusion or exclusion of capillarity or the number of space dimensions considered. To solve these nonlinear, partial differential equations, each phase was considered to be homogeneous with time; therefore, mass transfer between phases was neglected. The effect of mass transfer on the gas displacement process was first reported by Attra. He simulated the one-dimension flow system by a series of cells in each of which the fluids were equilibrated during a time step. In addition, the pressure throughout the system during each time step was predetermined and constant phase velocities were calculated according to the Buckley-Leverett incompressible fluid flow model. Welge et al. developed a model for the displacement of oil by an enriched gas where composition is considered to be a dependent variable. SPEJ P. 205ˆ

scholarly journals PARASITIC ZOONOSES AS A GLOBAL AND LOCAL PROBLEM OF SANITATION AND HYGIENE OVER THE WORLD AND IN THE RUSSIAN FEDERATION

2018 ◽  
Vol 97 (3) ◽  
pp. 208-212
Author(s):  
Anatoly M. Bittirov
Keyword(s):  
Russian Federation ◽  
Regional Scale ◽  
Global Scale ◽  
Local Problem ◽  
Important Place ◽  
Sanitation And Hygiene ◽  
The World ◽  
Parasitic Zoonoses ◽  
The Russian Federation ◽  
Global And Local

This article is devoted to the analysis of parasitic zoonoses as a global and local problem of sanitation and hygiene over the world and in the Russian Federation. Parasitic zoonoses in the world and in the Russian Federation are a complex multilevel biologically protected in terms of ecosystem, epidemiologically significant and sanitary and hygienic problem of modern medicine and veterinary medicine, which includes a number of widespread human invasions, caused by representatives of 17 species of the Protozoa class; 20 species of the Trematoda class; 12 species of the Cestoda class; 29 species of the Nematoda class; 64 species of the Acantocephalus class; 6 species of the Pentastoma class and others (total more than 500 species). To forecast in connection with climate warming, in the future it will be possible to consider the probable expansion of the area and the gain in the incidence of human and many animal species (more than 100 macro and micromammal species) with parasitic zoonoses on a global scale, where the main argument is the incomplete scale of special antiparasitic measures, poor hygienic culture of the population and the implementation of pedagogical technologies in the field of sanitary and hygienic education. As a sanitary and hygienic problem, parasitic zoonoses with complex cycles and invasion transfer mechanisms that actively circulate between various vertebrate animals and humans directly and indirectly through eggs and larvae of pathogens with the tendency of total contamination of the habitat of animals and humans are presented in frameworks of the global and local scale. Violations and non-compliance with sanitary and hygienic requirements and regulations (to the point without the countries of the world with irreproachably developed by the medical and veterinary services of the world and WHO at the UN) cause a 3-6 level biological protection of parasitic systems of bio- and geogelmintoses, protozoans of zoonotic nature (parasites of this type, Diphyllobothriidae, Opisthorchidae, Anisakidae, Trichinella, etc., Ascaris, Toxocara, Trichostrongylus, Trichocephalus, Fasciola, Dicrocoelium, Echinococcus, Dracunculus, Fasciolopsis, Moniliformis, Toxoplasma, Entamoeba and many others), which postponed their devaluation even in the regional scale. Therefore, health education should take an important place in the politics of each state, and it must be globally comprehensive. All medical and veterinary requirements to the quality of meat, fish, and plants must be strictly observed, which reduces the risk of parasitoses of the population and animals.

scholarly journals Safety of transport processes of the trucks determined by reliability.

2015 ◽  
Vol 2015 (2) ◽  
pp. 88-92
Author(s):  
Владимир Самусенко ◽  
Vladimir Samusenko ◽  
Наталия Сакович ◽  
Nataliya Sakovich ◽  
Евгений Христофоров ◽  
...  
Keyword(s):  
Probability Theory ◽  
Mathematical Models ◽  
Russian Federation ◽  
Transport Processes ◽  
The Russian Federation

In article questions of safety of transport processes on roads of the Russian Federation of the vehicles caused by reliability are considered. Authors considered activities on safety of the movement at design stages of the created car. For a solution authors used mathematical models on the basis of probability theory.

scholarly journals Application of information technologies in solving environmental problems

2021 ◽  
Vol 937 (2) ◽  
pp. 022030
Author(s):  
A V Eskov ◽  
I I Kiryushin ◽  
Yu S Medvedev ◽  
V V Zhuchkova
Keyword(s):  
Mathematical Models ◽  
Russian Federation ◽  
Information Technologies ◽  
Environmental Problems ◽  
Environmental Situation ◽  
Animal Populations ◽  
The Russian Federation ◽  
Software And Hardware

Abstract The examples of software and hardware solutions used in the Russian Federation, which can be used to monitor the environmental situation in various territories, are given. The possibility of using mathematical models in the fight against environmental problems, in particular, for tracking animal populations, is shown.

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