The structural factor of regional economic stability in Russia during the coronacrisis period

Relevance. The coronavirus pandemic has lead to one of the most serious crises in the global economy. The significant disparities between Russian regions influenced the levels of morbidity and their strategies of containing the crisis.Research objective. The aim of this paper is to identify the factors of regional development which, during the pandemic and in the post-pandemic period, affected and will affect the economic stability of Russian regions.Materials and Methods. The research is based on the Rosstat data, industry reviews, materials from analytical and consulting firms, Russian and international research literature. The research methodology is based on the structuralist approach and the provisions of the new structural economics put forward by J. Lin. The methods of comparative, statistical, and structural analysis were also used.Results. The most significant factors in regional economic development are the structure of the economy and the quality of public administration at the national and regional levels. The high-tech sector in the structure of a regional economy plays a pivotal role in ensuring its stability in the times of crisis. The study shows the need for a transition to independent national value chains. It is also necessary to develop a long-term national strategy aimed at stimulating the structural transformation of regional economies.Conclusions. The study has demonstrated the importance of the two key factors in shaping the regions’ responses to the pandemic and the speed of their recovery – the structure of regional economy and the role of the government. These factors should be taken into account by the Strategy of the State Regional Industrial Policy

Positively Correlated miRNA-miRNA Regulatory Networks in Mouse Frontal Cortex During Early Stages of Alcohol Dependence

Although the study of gene regulation via the action of specific microRNAs (miRNAs) has experienced a boom in recent years, the analysis of genome-wide interaction networks among miRNAs and respective targeted mRNAs has lagged behind. MicroRNAs simultaneously target many transcripts and fine-tune the expression of genes through cooperative/combinatorial targeting. Therefore, they have a large regulatory potential that could widely impact development and progression of diseases, as well as contribute unpredicted collateral effects due to their natural, pathophysiological, or treatment-induced modulation. We support the viewpoint that whole mirnome-transcriptome interaction analysis is required to better understand the mechanisms and potential consequences of miRNA regulation and/or deregulation in relevant biological models. In this study, we tested the hypotheses that ethanol consumption induces changes in miRNA-mRNA interaction networks in the mouse frontal cortex and that some of the changes observed in the mouse are equivalent to changes in similar brain regions from human alcoholics. Results: miRNA-mRNA interaction networks responding to ethanol insult were identified by differential expression analysis and weighted gene coexpression network analysis (WGCNA). Important pathways (coexpressed modular networks detected by WGCNA) and hub genes central to the neuronal response to ethanol are highlighted, as well as key miRNAs that regulate these processes and therefore represent potential therapeutic targets for treating alcohol addiction. Importantly, we discovered a conserved signature of changing miRNAs between ethanol-treated mice and human alcoholics, which provides a valuable tool for future biomarker/diagnostic studies in humans. We report positively correlated miRNA-mRNA expression networks that suggest an adaptive, targeted miRNA response due to binge ethanol drinking. Conclusions: This study provides new evidence for the role of miRNA regulation in brain homeostasis and sheds new light on current understanding of the development of alcohol dependence. To our knowledge this is the first report that activated expression of miRNAs correlates with activated expression of mRNAs rather than with mRNA downregulation in an in vivo model. We speculate that early activation of miRNAs designed to limit the effects of alcohol-induced genes may be an essential adaptive response during disease progression.NIAAA 5R01AA012404, 5P20AA017838, 5U01AA013520, P01AA020683, 5T32AA007471-24/25Waggoner Center for Alcohol and Addiction Researc

The use of OLAP-technology analysis of the international logistics system

В данной статье рассмотрено применение OLAP-технологии международной логистической системе на основе данных компании. Рассчитаны статистические данные услуг грузоперевозчика и определены зависимости показателей деятельности компании.This article discusses the use of OLAP-technology international logistics system based on company data. Calculated statistical data service cargo carrier and determined according to the activities of the company

Formalization of OLAP-cubes and relational databases with the algebra of sets

Mathematical formalization of OLAP-cubes is developed. Dimensions of cube and Cartesian products are supplied with an algebra of sets and measure. These sets are involved in queries. Operations projection and cross section are consistent with the algebra of dimension. Relational connections between dimensions realized with the help of index maps on the works of these dimensions. We introduce three types of index maps to the dimension corresponding to the three types of relational ties. It is shown that the relational database is an OLAP-cube with the corresponding index maps, and can be written by one formula. As an example the analytical processing of the questionnairesПредлагается математическая формализация OLAP-кубов, в которой размерности куба и их декартовые произведения снабжаются алгеброй подмножеств и мерой. Эти множества участвуют в запросах. Операции проекции и сечения согласуются с алгебрами размерностей. Реляционные связи между размерностями реализуются с помощью индексных отображений на произведениях этих размерностей. Вводятся три типа индексных отображений на размерности, соответствующие трем типам реляционных связей. Показано, что реляционная база данных является OLAP-кубом с соответствующими индексными отображениями и может быть записана одной формулой. В качестве примера рассматривается аналитическая обработка анкет

From dissatisfaction with labor to demotivation: how to avoid the loss of personnel

The article presents an overview of modern theoretical and practical approaches to the study of dissatisfaction with work and demotivation of staff, taking into account the increase in social pollution caused by the pandemic in unstable socio-economic conditions. Factors of dissatisfaction with the work of personnel and demotivation are differentiated, and it is shown that dissatisfaction can be associated with both a high level of motivation and demotivation. The interdependence of the factors of dissatisfaction with labor and demotivation is highlighted, which consists in the fact that the features of social pollution cause a stable state of dissatisfaction with labor and lead to psychological disadvantage, the development of the process of conscious demotivation by the employee, the loss of cooperation with colleagues and the tendency to change jobs. It has been established that the consequence of the pandemic, as well as the untimely or destructive actions of managers, is a sharp increase in the dissatisfaction of workers in various fields of activity with basic factors: pay and demand for the potential of the employee. The identification of similarities and differences in the factors of dissatisfaction with labor of employees of the general secondary education system, hotel business and management bodies of public associations of university students allowed the authors to attribute similar basic factors of dissatisfaction with labor to general factors of social pollution in pandemic conditions, and differences in factors of dissatisfaction with labor to destructive actions of the head, specifics of the sphere of activity, age characteristics of staff. At the same time, the analysis of the results of the study allowed the authors to conclude that dissatisfaction with labor, supported by cumulative factors of social pollution, can lead to a loss of the employee’s interest in the organization, a decrease in quality, labor performance and, as a result, a decrease in the quality of service for the consumer, especially in the studied areas of education, hotel business, public organizations and associations. Questionnaire, correlation analysis, content analysis, comparative data analysis was used as methods of investigation and analysis of the obtained results. The systematization and synthesis of the results of the comparative analysis of dissatisfaction with factors in various areas of work allowed the authors to identify technologies for preventing demotivation of labor that should be mastered by managers in conditions of socio-economic instability, and to develop recommendations for their application at the micro and macro levels in order to preserve personnel

An Approach to Unification of Application Programming Interfaces of Gaming Platforms for Artificial Intelligence

This paper explores several existing gaming platforms for training and testing artificial intelligence, their application programming interfaces analyzed in order to discover potential complications of porting intellectual systems between them. We present an approach to unification of programming interfaces in order to overcome these complications. Advantages and potential side effects of this approach are described. © 2019 IEEE

The development of a heterogeneous MP data model based on the ontological approach

The article discusses the approaches providing symmetric access of all industrial production services to the data of business processes of the enterprise by building a single warehouse of heterogeneous data of a metallurgical production. The warehouse is a part of an automated statistic quality control system for the products of a metallurgical enterprise. The article describes an ontological storage model of data coming from various sources of information in the production process. The concept of “a unit of production of metallurgical production” is introduced that is the connecting component of the entire production life cycle of a metallurgical production. The authors propose an ontological model of the production process, in terms of information flows which are formed in an enterprise at each stage of production. Based on the constructed ontological model, the structure of recording an array of information in the heterogeneous data warehouse is justified and formed. Heterogeneous data warehouse forms a single information space of the enterprise, which serves as the basis for analytical analysis throughout the production and decision—making process. For example, timely response to the deviation reasons from the given physical and chemical properties of the finished product. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.The research was funded by the Russian Foundation for Basic Research No. 19-37-90049\19 of 08/27/2019

Date preparation module of automated metallurgical products production system

The article discusses the data preparation module of the automated metallurgical production system, which provides data to obtain from heterogeneous sources (ASS, CIS, MES, ERP systems ), convert heterogeneous data into a convenient form for subsequent storing, configure the converting rules and output heterogeneous data relevant to the query. Proposed components of the data preparation module: logical structure of data preparation module, algorithm of data preparation module operation, the link with simulation modeling and other modules, the list of technical equipment. A fragment of the interface of the data preparation module is being converted. © Published under licence by IOP Publishing Ltd

Структурный вектор повышения экономической устойчивости региона в период коронакризиса

Received July 02, 2021; accepted September 01, 2021.Дата поступления 2 июля 2021 г.; дата принятия к печати 1 сентября 2021 г.Relevance. The coronavirus pandemic has lead to one of the most serious crises in the global economy. The significant disparities between Russian regions influenced the levels of morbidity and their strategies of containing the crisis. Research objective. The aim of this paper is to identify the factors of regional development which, during the pandemic and in the post-pandemic period, affected and will affect the economic stability of Russian regions. Materials and Methods. The research is based on the Rosstat data, industry reviews, materials from analytical and consulting firms, Russian and international research literature. The research methodology is based on the structuralist approach and the provisions of the new structural economics put forward by J. Lin. The methods of comparative, statistical, and structural analysis were also used. Results. The most significant factors in regional economic development are the structure of the economy and the quality of public administration at the national and regional levels. The high-tech sector in the structure of a regional economy plays a pivotal role in ensuring its stability in the times of crisis. The study shows the need for a transition to independent national value chains. It is also necessary to develop a long-term national strategy aimed at stimulating the structural transformation of regional economies. Conclusions. The study has demonstrated the importance of the two key factors in shaping the regions’ responses to the pandemic and the speed of their recovery – the structure of regional economy and the role of the government. These factors should be taken into account by the Strategy of the State Regional Industrial Policy.Актуальность. Пандемия коронавируса спровоцировала один из самых сложных и глубоких кризисов мировой экономики. Высокий уровень дифференциации субъектов РФ по последствиям его влияния на глубину экономического спада, на уровень заболеваемости населения, предопределяет актуальность выявления факторов, оказавшихся наиболее значимыми в кризисный период. Цель исследования. Целью статьи является выявление факторов регионального развития, которые в условиях коронакризиса и в постпандемийный период определяющим образом будут влиять на экономическую устойчивость регионов России. Данные и методы. Основой исследования явились данные Росстата, отраслевые обзоры, материалы аналитических и консалтинговых фирм, работы отечественных и зарубежных специалистов в области предварительной оценки последствий влияния кризиса на мировую, отечественную и региональную экономику. Методология исследования основана на структуралистком подходе, на использовании положений новой структурной экономики Дж. Линя. Использованы методы компаративного, статистического и структурного анализа. Результаты. Установлено, что наиболее значимыми факторами развития региональной экономики являются структура экономики и качество государственного управления на национальном и региональном уровнях. Рассмотрена роль высокотехнологичного производства в структуре экономики как фактора повышения ее устойчивости. Показана необходимость перехода к независимым национальным цепочкам создания ценности, что повышает возможность их локализации и значимость региональных участников. Обоснована значимость государственной региональной промышленной политики как системы мер, формирующих долгосрочную стратегию структурной трансформации экономики. Выводы. Подтверждена правомерность выделения структуры экономики и возрастающей роли государства в экономической жизни общества как важнейших факторов, влияющих на экономическую устойчивость региона и скорость его выхода из кризиса. Обоснована необходимость учета данных факторов в рамках Стратегии государственной региональной промышленной политики, реализующей структурный вектор развития региональной экономики.The paper was prepared within the framework of the state assignment of the Ministry of Science and Higher Education of the Russian Federation for Federal State Budgetary Institution of Science “Institute of Economics” of the Ural Branch of the Russian Academy of Sciences for 2021.Статья подготовлена в соответствии с планом НИР для ФГБУН Институт экономики УрО РАН на 2021 год