The relevance of the study is explained by the significant potential of the digital economy in terms of its impact on the acceleration of economic development of the city, the region and the state as a whole, as well as improving the life quality. This article is aimed at studying the process of digital economy development at the regional level and defining indicators to assess the impact of digitalization on the economic condition of the region and the population’s welfare. The article deals with the issues of genesis of digital economy in Russia, identifies its strengths and justifies the impact of digitalization on population’s welfare in the region. The key research methods to this problem are methods of graphical and tabular data presentation, methods of statistical analysis, which make it possible to consider comprehensively the issues of improving techniques for assessing the quality of the digital economy and their impact on population’s welfare in the region. Materials of the article are of practical value for the calculation of populations’ welfare index in the region by using the improved methodology based on comparative analysis by the regions of the country.

This paper presents a study based on laboratory model tests conducted with rectangular footing on unreinforced and geosynthetics reinforced crusher dust. The test was conducted at loose (RD = 29%) and medium dense (RD = 64%) state of crusher dust taking the variation of single layer depth of geosynthetic placed below foundation to find the maximum ultimate bearing capacity. The single layer depth was varied at a depth of 0.2, 0.25, 0.3 and 0.35B for loose state of crusher dust and for medium dense state, it was varied with 0.3, 0.4 and 0.5B (where B is the width of the footing). Also geogrid along with geosynthetic (stagged one above another) was used below footing at the optimum depth to find their combined effect. It has been observed that the inclusion of reinforcement at various depths provided below footing gives higher ultimate bearing capacity compared to unreinforced condition at both relative density states. For loose state, the optimum single layer depth of geosynthetic was found out to be 0.3B and for medium dense state, it was found to be 0.4B. The percentage variation of ultimate bearing capacity of reinforced crusher dust with respect to unreinforced at loose state (0.3B) was 112.56% and for medium dense state (0.4B) was 71.15%. Increase in relative density along with addition of reinforcement layer to the crusher dust has great impact on the bearing capacity of footing. At both the reinforced and unreinforced conditions, higher density produced higher result than the loose dense state of the material. Combination of geosynthetic and geogrid used as a single layer below footing at optimum depth for RD 29% and RD 64% resulted in higher ultimate bearing capacity compared to the single reinforcement and the percentage variation with respect to unreinforced condition, it is found out to be 121.85% at RD 29% and 74.46% at RD 64%.

The article presents the author’s view on the interpretation of illegal, violent acts motivated by hatred or enmity, based on the biological characteristics of an individual or social group, as well as promoting the superiority or inferiority of a person on the basis of sexual (gender) identification. The authors of the article, based on the analysis of positions, scientific approaches of Russian and some foreign scientists, the practice of applying the norms of criminal and administrative-tort legislation of Russia and foreign countries, the content of sites and pages of social groups in the Internet network, consider the essence and content of gender-oriented (gender or sexual) extremism, formulate its definition, and reveal its features. The article is of theoretical and practical interest for further research and improvement of the mechanism of countering extremism. The results of the research could be used by teachers and students of secondary and higher educational institutions in preparation for classes of anti-extremist orientation.

Two classes of micromechanics-based models of void enlargement are presented succinctly with their fundamental hypotheses and synopsis of derivation highlighted. The first class of models deals with conventional void growth, i.e., under conditions of generalized plastic flow within the elementary volume. The second class of models deals with void coalescence, i.e., an accelerated void growth process in which plastic flow is highly localized. The structure of constitutive relations pertaining to either class of models is the same but their implications are different. With this as basis, two kinds of integrated models are presented which can be implemented in a finite-element code and used in ductile fracture simulations, in particular for metal forming processes. This chapter also describes elements of material parameter identification and how to use the integrated models.

The oil is called as the industrial blood. For one oil well, its oil production is a wavelike process. It can be modeled as a time series data. During the whole life cycle for one well, it can have several similar stages. Meanwhile, the oil wells in the same oilfield may share similar production processes. However, these two similarities are hard to be accurately described by a mathematical formula. Therefore, in this paper, we use LSTM which is a kind of deep learning model to learn the oil production characteristics from the existed wells and predict the new oil well’s production behavior. With the real oil well production data from DaGang Oilfield in Hebei Province of China, two experiments are implemented. One experiment uses one well’s previous production data to predict its future, while the other experiment uses different oil wells from the same oilfield to predict another individual oil well’s production. The results show that the LSTM is able to get satisfactory prediction output.

Bearing is an integral part of the machine tools system, but due to contact stress, wear is induced, which decreases the life of the machine tools and bearing system. Stress developed due to contact between mating surfaces, i.e., contact stress and friction forces, is the main factor which is affecting the efficiency of a system. To achieve efficiency or to make contact-less levitation, active magnetic bearing are most suitable. This paper gives a basic idea on control techniques and failure modes and their effect on the active magnetic bearing system, by which frictional forces and the vibration should be minimised, which are the primary cause of wear and tear and decentralisation of the shaft. AMB systems are more suitable to increase the life and performance of the machine tools.

The article considers the importance of studying the introduction of information technologies in the management of housing and communal utilities. Studying of the state of housing and communal utilities in the Russian Federation indicates the need to search new technologies to activate this area. As a result, we proposed the algorithm for using the crowdsourcing method to improve the quality of housing and communal services, which is a universal tool for solving tasks and becomes possible at low costs for ongoing activities. Based on compliance with this algorithm, it is possible to implement crowdsourcing project that allows to achieve set goals.

As enterprise data management develops, business intelligence systems have obtained prevalence in innovative industries. It has proved to provide a complete set of solutions for enterprise data management. However, it features a series of obstacles requiring high learning costs. To overcome this, the paper integrates four elements of learning costs and proposes a user learning cost weakening model from the perspective of applied behavior analysis. Outcomes from the research suggest new ideas and strategies for reducing user learning costs for complicated enterprise-level data products.