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The article is devoted to calculations of load on rollers of a curvilinear continuous casting machine during bending of the ingot in the levelling section. The calculation takes into account the elastic and plastic characteristics of metal and the flexibility of the roller apparatus. Determination of load on rollers together with meeting other requirements such as reducing the cooling water consumption, minimizing the energy consumption enables optimizing the technology of slab cooling in the secondary cooling zone (SCZ) and obtaining metal of the required quality.

The aim of the research presented in the article is to develop methods and means for integrated modeling of compact expanded capacity power lines. Algorithms for determining modes of electrical energy systems were used based on phase coordinates based on application of elements models in form of lacelike equivalent networks with fully-meshed topology. These models and methods were implemented in Fazonord-APC software application, ensuring modeling of EES sta-tionary modes, and determining strengths of electromagnetic fields generated by power lines of different design. We demonstrate results of modes and electromagnetic fields modeling on routes of 220 kV compact overhead power supply lines (COPL) with horizontal positioning of wires. For the purpose of comparison, similar calculations were performed for a typical overhead power line (TOPL). The modeling results allowed to formulate the following conclusions: when overall sections of COPL and TOPL are equal, the losses of active power in compact OPL are significantly lower; thus, when transmitted power is 375 MW, the losses in COPL are reduced by 45% compared to a typical 220 kV OPL; at compact OPL receiver end a lower unsymmetry is observed; COPL ensure better electromagnetic safety conditions; electrical field strength at a height of 1.8 m for COPL axis is less than a similar index for TOPL by approximately 1.5 times; magnetic field in the same point is reduced to 60%.

The article discusses the problems associated with the tourism industry and the hotel business during the pandemic. A study was carried out and relevant conclusions were presented on how the pandemic affected the hotel business in Europe and Russia. The authors examined and analyzed in detail the indicators of forecasts in the sphere of the Russian hotel business, particularly in the regions. The authors paid special attention to the study of open public spaces and conducted a detailed analysis, which made it possible to identify the opportunities for the development of the hotel business. In the article the main trends of a pandemic and post-pandemic are studied – the need to reinforce sanitary measures. The research focuses on identifying the features of the economic state of the regions during the pandemic. The authors developed and substantiated the areas that are relevant, useful and applicable for the hotel business; revealed the features of the process of restoration of the hotel business. Special attention is paid to the study of state support measures; the features of their further actualization for the development of the tourism industry are presented. The authors have proposed the ways to overcome the crisis, contributing to a slow, but accurate and safe recovery of the hotel business and an increase in demand.

In the framework of the study, the authors consider conceptual approaches to improve the management system of agrarian sphere development of regions in the realities of this industry functioning in the Russian Federation. Agrarian sphere is shown in aspects of socio-economic territorial system with its subsystems. The transition mechanisms of the agrarian sphere to the rails of sustainable development due to the choice of priority development directions within the life cycle are presented. The necessity of applying an integrated approach to the solution of industrial and social problems of the agricultural sector of the country is proved and reasoned.

The author summarizes the author’s techniques used in psychology classes with the aim of meaningfully transforming educational information by bachelors into their personal knowledge. The methodology for developing techniques was based on idiographic and qualitative approaches. The productive ideas of V.P. Zinchenko about “living” knowledge and the fundamental difference between information and knowledge, his original and fruitful metaphor about the fifth dimension of being, which he associated with meaning; a consequence of this metaphor about the difficulties of the process of generating an affectively colored space of meanings by a person turned out to be useful. The procedural aspect and content of four specific techniques for transforming educational psychological information are described. Examples of the use of techniques in the study of specific psychological disciplines are given. A special technique of creating and accumulating knowledge about his person by transforming educational psychological information into verbal self-portraits is highlighted. The question is raised about the correspondence of the knowledge obtained by bachelors as a result of the application of the proposed techniques to the content of the concept of “living” knowledge in the understanding of V.P. Zinchenko. The author’s version of the answer to this question is offered. A hypothesis is formulated about the possible mechanisms of transformation of educational psychological information into meaningful knowledge of bachelors. Two promising directions for the continuation of the empirical research pre sented in the article are highlighted.

This article presents a systemic approach to municipal solid waste management in the Kaliningrad region. This approach is based on innovative practices and marketing research. It will contribute to regional development in line with the principles of green economy and cross-border cooperation in the Baltic countries. An innovative ecosystem should be created in the region to reach this goal, along with a network of solid municipal waste recycling enterprises. This network should include microenterprises. The study offers a universal business model for a recycling microenterprise.

The paper proposes method and algorithm for obtaining the maximum transmitted power limit in the power system under the voltage stability conditions in case of emergency outages of its elements - power lines and generating sets. The method is based on the analysis of the exaggerated states of the system created by increasing the values of the power sources (generators of power plants). The model of system states in extreme modes is described in the form of “extreme transmitted power – generating power values” relationships. The efficiency of the method is investigated on IEEE test schemes and the real Azerenergy system scheme. A comparison of the proposed method results with the evaluation of the critical conditions on the basis of trained neural network is presented.

This article discusses the multiple regression analysis techniques to determine the effectiveness of the factors used. The study examines the various relationships between the elements. It is important to identify which factor will be the most important when selecting wells to determine the amount of oil recovery. Nowadays, the most important problem in the fields of Tatarstan and Bashkortostan is the depletion of deposits. To maintain the profitability of mining companies, therefore, the issue of preparing new reserves remains relevant. This process involves high costs and risks. For a more reliable picture, it is crucial to determine the most relevant factors. The use of the triad of studies proposed by the authors makes it possible to more reliably determine the effectiveness of oil companies. The initial data are direct measurements and methods of mathematical statistics that allow more accurate predictions. Statistical analysis made it possible to identify the parameters on which the effectiveness of the factors depends. In domestic practice, the assessment of resources and reserves of hydrocarbons is usually made by deterministic methods, while abroad the statistical method is used. When studying the relationships between objects, the analyst should be interested not only in the presence and quantitative assessment of the relations but also in the form and relationship of the effective and factor characteristics, its analytical expression. Correlation and regression analysis help to solve these problems. Correlation analysis aims to measure the tightness of the relationship between the varying variables and to evaluate the factors that have the greatest impact on the resulting trait. Regression analysis is designed to select the form of the relationship, to determine the calculated values of the dependent variable (the effective feature) [1]. For the factor analysis, we used data on the oil industry published in the annual statistical collections of Rosstat, as well as specialized periodicals for ten years.