Pub Date : 2019-03-01DOI: 10.15688/JVOLSU3.2019.1.1
A. Gusov, O. Repkina
The article analyzes the main social prerequisites for the implementation of the new industrial revolution in Russia, as well as the social risks arising in this process. The analysis of the main approaches to the understanding of the essence and the main consequences of the industry 4.0 is given, the role of various social groups playing a leading role in the implementation of the revolutionary technological leap is revealed. In this regard, the features of social processes affecting the scientific and technical intelligentsia, the sphere of research and development, innovative entrepreneurship in modern Russia are studied. The fourth industrial revolution is seen as a stage of socio-economic progress with its inherent social problems and risks, such as the widening of the gap between the income on capital and the income of hired workers; increasing income inequality between individual groups of employed and unemployed people within countries due to changes in the structure of the labor market; a significant increase in unemployment in certain segments of the labor market due to automation and robotization of labor and the disappearance of many professions; population aging due to increased life expectancy. It was noted that in Russia there are various basic social resources for successful entry into the process of the fourth industrial revolution, and conditions have developed for a fairly rapid qualitative renewal of the Russian economy and increasing its competitiveness, but there are significant social risks associated with insufficient maturity of individual elements of the social system.
{"title":"Social Resources and Risks of Industrial Revolutions 4.0 in Russia","authors":"A. Gusov, O. Repkina","doi":"10.15688/JVOLSU3.2019.1.1","DOIUrl":"https://doi.org/10.15688/JVOLSU3.2019.1.1","url":null,"abstract":"The article analyzes the main social prerequisites for the implementation of the new industrial revolution in Russia, as well as the social risks arising in this process. The analysis of the main approaches to the understanding of the essence and the main consequences of the industry 4.0 is given, the role of various social groups playing a leading role in the implementation of the revolutionary technological leap is revealed. In this regard, the features of social processes affecting the scientific and technical intelligentsia, the sphere of research and development, innovative entrepreneurship in modern Russia are studied. The fourth industrial revolution is seen as a stage of socio-economic progress with its inherent social problems and risks, such as the widening of the gap between the income on capital and the income of hired workers; increasing income inequality between individual groups of employed and unemployed people within countries due to changes in the structure of the labor market; a significant increase in unemployment in certain segments of the labor market due to automation and robotization of labor and the disappearance of many professions; population aging due to increased life expectancy. It was noted that in Russia there are various basic social resources for successful entry into the process of the fourth industrial revolution, and conditions have developed for a fairly rapid qualitative renewal of the Russian economy and increasing its competitiveness, but there are significant social risks associated with insufficient maturity of individual elements of the social system.","PeriodicalId":30872,"journal":{"name":"Vestnik Volgogradskogo Gosudarstvennogo Universiteta Serija 1 Mathematica Physica","volume":"49 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72790927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-03-01DOI: 10.15688/jvolsu3.2019.1.8
A. Stepanov
The main resource of modern manufacturing, agricultural, construction, transport enterprises and also the companies connected with information technologies is their staff. The level of staff training corresponding to the current trends in technology and technologies development, directly defines the level of relevant production industry development and national economy in general. The development of robotics and the roboti technologies in modern economy has a significant impact on change of the enterprises requirement in human resources and also on change of employers’ requirements to professional competences of staff. In the long term, labor market will impose increased requirements to staff on possession of professional competences, on interaction with robotics in a workplace, including the ability to control the equipment, to carry out monitoring of production operations observance and be able to adapt to changes in production process taking into account functionality of robotics. According to various research and polls, the modern system of staff training does not provide the study of such professional competences. In the long term, it can result in discrepancy of the young specialists’ competence that completed training in the programs of secondary professional education, and forming the offer in labor market, to those requirements which are imposed from employers. In these conditions transformation of the staff training system which will be focused, first of all, on the formation of those competences which will allow young specialists not only to use the available equipment, but to have an opportunity to master new technologies. The paper outlines the problem of incompliance of the level of young specialists training and the current trends of robotics development on the basis of statistical data and results of the available research.
{"title":"Improvement of the Russian System of Staff Training in the Conditions of Robotic Technology Development","authors":"A. Stepanov","doi":"10.15688/jvolsu3.2019.1.8","DOIUrl":"https://doi.org/10.15688/jvolsu3.2019.1.8","url":null,"abstract":"The main resource of modern manufacturing, agricultural, construction, transport enterprises and also the companies connected with information technologies is their staff. The level of staff training corresponding to the current trends in technology and technologies development, directly defines the level of relevant production industry development and national economy in general.\u0000The development of robotics and the roboti technologies in modern economy has a significant impact on change of the enterprises requirement in human resources and also on change of employers’ requirements to professional competences of staff. In the long term, labor market will impose increased requirements to staff on possession of professional competences, on interaction with robotics in a workplace, including the ability to control the equipment, to carry out monitoring of production operations observance and be able to adapt to changes in production process taking into account functionality of robotics. According to various research and polls, the modern system of staff training does not provide the study of such professional competences. In the long term, it can result in discrepancy of the young specialists’ competence that completed training in the programs of secondary professional education, and forming the offer in labor market, to those requirements which are imposed from employers. In these conditions transformation of the staff training system which will be focused, first of all, on the formation of those competences which will allow young specialists not only to use the available equipment, but to have an opportunity to master new technologies.\u0000The paper outlines the problem of incompliance of the level of young specialists training and the current trends of robotics development on the basis of statistical data and results of the available research.","PeriodicalId":30872,"journal":{"name":"Vestnik Volgogradskogo Gosudarstvennogo Universiteta Serija 1 Mathematica Physica","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82793413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-03-01DOI: 10.15688/JVOLSU3.2019.1.10
O. Larina
The mechanism of state support for private investments in the sports sector is being supplemented and improved. The article analyzes the Russian practice of public-private partnership in the sphere of physical culture and sports. The main purpose of the article is to generalize and systematize possible measures of state support of private investment in the sports industry in Russia, both at the Federal and regional levels. The forms of public-private partnership in the designated area, development trends and measures of state support existing both at the Federal and regional levels are investigated. Based on the analysis of the ongoing projects, as well as legal mechanisms that ensure the rights of investors in the Russian Federation, the conclusions are made about the need to improve the mechanisms of support for public-private partnership in the field of physical culture and sports. When implementing such projects, it is necessary to take into account the specifics of this sphere, while it is advisable to determine transparent and unambiguous criteria for the allocation of public funds. The author believes that the interaction of business in the field of physical culture and sports with the State should achieve a balance between the private interests of business and social objectives that are set and should be addressed in the interests of society.
{"title":"State Support for Private Investments in the Sphere of Physical Culture and Sports","authors":"O. Larina","doi":"10.15688/JVOLSU3.2019.1.10","DOIUrl":"https://doi.org/10.15688/JVOLSU3.2019.1.10","url":null,"abstract":"The mechanism of state support for private investments in the sports sector is being supplemented and improved. The article analyzes the Russian practice of public-private partnership in the sphere of physical culture and sports. The main purpose of the article is to generalize and systematize possible measures of state support of private investment in the sports industry in Russia, both at the Federal and regional levels.\u0000The forms of public-private partnership in the designated area, development trends and measures of state support existing both at the Federal and regional levels are investigated. Based on the analysis of the ongoing projects, as well as legal mechanisms that ensure the rights of investors in the Russian Federation, the conclusions are made about the need to improve the mechanisms of support for public-private partnership in the field of physical culture and sports. When implementing such projects, it is necessary to take into account the specifics of this sphere, while it is advisable to determine transparent and unambiguous criteria for the allocation of public funds. The author believes that the interaction of business in the field of physical culture and sports with the State should achieve a balance between the private interests of business and social objectives that are set and should be addressed in the interests of society.","PeriodicalId":30872,"journal":{"name":"Vestnik Volgogradskogo Gosudarstvennogo Universiteta Serija 1 Mathematica Physica","volume":"216 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75545015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-03-01DOI: 10.15688/jvolsu3.2019.1.4
E. Voronina, O. Yarosh, Natalya Bereza, M. Rossinskaya
The purpose of this article is to develop a mathematical model for estimating the value of a real estate object, taking into account the trends in the residential real estate market using indicators of the object’s state and indicators of the real estate market. The real estate market is a complex mechanism that includes subjects, objects, processes and infrastructure. The real estate market has its own characteristics that distinguish it from the market of goods and services related to the duality of real estate, its special characteristics. Despite the high conservatism, there are certain innovative trends in the development of the residential real estate market (innovations in construction, architecture, services and marketing, logistics, customer focus). The article considers the residential real estate market as a complex socio-technical system, to predict the development of which it is advisable to use a combination of classical forecasting methods and soft computing or intelligent data processing methods. A forecast of the development of the residential real estate services market was made using foresight technologies (industry roadmap). The analysis was carried out and the main factors acting on the market were identified, and their influence on the development of market trends was determined. A mathematical model for predicting the value of residential real estate based on the theory of fuzzy sets has been developed.
{"title":"The Mathematical Model of Forecasting the Price Level in the Regional Market of Residential Real Estate","authors":"E. Voronina, O. Yarosh, Natalya Bereza, M. Rossinskaya","doi":"10.15688/jvolsu3.2019.1.4","DOIUrl":"https://doi.org/10.15688/jvolsu3.2019.1.4","url":null,"abstract":"The purpose of this article is to develop a mathematical model for estimating the value of a real estate object, taking into account the trends in the residential real estate market using indicators of the object’s state and indicators of the real estate market. The real estate market is a complex mechanism that includes subjects, objects, processes and infrastructure. The real estate market has its own characteristics that distinguish it from the market of goods and services related to the duality of real estate, its special characteristics. Despite the high conservatism, there are certain innovative trends in the development of the residential real estate market (innovations in construction, architecture, services and marketing, logistics, customer focus).\u0000The article considers the residential real estate market as a complex socio-technical system, to predict the development of which it is advisable to use a combination of classical forecasting methods and soft computing or intelligent data processing methods. A forecast of the development of the residential real estate services market was made using foresight technologies (industry roadmap). The analysis was carried out and the main factors acting on the market were identified, and their influence on the development of market trends was determined. A mathematical model for predicting the value of residential real estate based on the theory of fuzzy sets has been developed.","PeriodicalId":30872,"journal":{"name":"Vestnik Volgogradskogo Gosudarstvennogo Universiteta Serija 1 Mathematica Physica","volume":"130 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76953280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-03-01DOI: 10.15688/JVOLSU3.2019.1.5
Emma Kuzmina, E. Kuzmina
Leasing owing to the unique economic essence is considered to be a booster for economic, innovation and investment business activity of any level. In the conditions of competition, economic subjects are constantly in search of innovative approaches to business operations and effective distribution of financial resources. This determines the demand for leasing as an efficient way to make investments into business. The relevance of the research regarding prospects of leasing development at the regional level does not raise doubts as the issue of sources of new investments into the real sector of Russian economy is particularly urgent today. Consequently, one of the ways to solve this issue is to apply new financial instruments of production, investment leasing in particular. In modern Russian economy the real investments can be raised by means of leasing which are quite necessary for modernization of fixed assets in various branches, including those in the most vulnerable links of the Russian economy. This paper presents the results of analyzing a tendency and features of leasing market development on the national and regional levels. The authors have given an assessment of investment climate in the Southern regions and systemized the factors on the basis of which both the general risks and the specific regional risks are marked out. As a result of assessing the experience of leasing functioning, some regional features have been revealed, drivers and development prospects of the leasing mechanism in the southern regions hev been defined. Furthermore, the positive approaches which should be put into practice have been revealed. Some points of growth ahave been defined in various segments of business based on the influencing support factors. As examples of growth drivers we can consider auto leasing, leasing of agricultural machinery, operating leasing, leasing for individuals and a financial supermarket. On the basis of generalization of possible ways that we can use to develop the regional leasing market there are directions to improve the realization of leasing mechanism on the regional level which can be used in practice.
{"title":"The Trends and Prospects of Leasing Development as a Relevant Financial Tool of Investments in the Southern Regions of Russia","authors":"Emma Kuzmina, E. Kuzmina","doi":"10.15688/JVOLSU3.2019.1.5","DOIUrl":"https://doi.org/10.15688/JVOLSU3.2019.1.5","url":null,"abstract":"Leasing owing to the unique economic essence is considered to be a booster for economic, innovation and investment business activity of any level. In the conditions of competition, economic subjects are constantly in search of innovative approaches to business operations and effective distribution of financial resources.\u0000This determines the demand for leasing as an efficient way to make investments into business. The relevance of the research regarding prospects of leasing development at the regional level does not raise doubts as the issue of sources of new investments into the real sector of Russian economy is particularly urgent today. Consequently, one of the ways to solve this issue is to apply new financial instruments of production, investment leasing in particular. In modern Russian economy the real investments can be raised by means of leasing which are quite necessary for modernization of fixed assets in various branches, including those in the most vulnerable links of the Russian economy.\u0000This paper presents the results of analyzing a tendency and features of leasing market development on the national and regional levels. The authors have given an assessment of investment climate in the Southern regions and systemized the factors on the basis of which both the general risks and the specific regional risks are marked out.\u0000As a result of assessing the experience of leasing functioning, some regional features have been revealed, drivers and development prospects of the leasing mechanism in the southern regions hev been defined. Furthermore, the positive approaches which should be put into practice have been revealed. Some points of growth ahave been defined in various segments of business based on the influencing support factors. As examples of growth drivers we can consider auto leasing, leasing of agricultural machinery, operating leasing, leasing for individuals and a financial supermarket.\u0000On the basis of generalization of possible ways that we can use to develop the regional leasing market there are directions to improve the realization of leasing mechanism on the regional level which can be used in practice.","PeriodicalId":30872,"journal":{"name":"Vestnik Volgogradskogo Gosudarstvennogo Universiteta Serija 1 Mathematica Physica","volume":"70 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75351102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-03-01DOI: 10.15688/jvolsu3.2019.1.11
E. Mitina
In the modern world, marketing metrics are used to analyze the situation on the consumer market, as well as diagnose the causes and predict future events. They make it possible to compare the results of observations obtained at different periods of time or in different areas. It is an erroneous opinion that in marketing, most decisions are made without using quantitative calculations, since today they are one of the most difficult processes to measure. Basically, marketing research uses quantitative analysis skills that are necessary to manage the productivity of enterprise’s marketing activities; however, managers who are capable of conducting creative promotional activities rarely calculate the effectiveness of the implementation of this campaign. Therefore, it is recommended to consider the classification of marketing metrics by groups, since they are the gauge of any activity. The purpose of the article is to study the theoretical foundations of marketing metrics and conceptual approaches to grouping them. Under the marketing metrics we understand the continuous, regular monitoring and control of the quantitative indicators of the enterprise and the market as a whole, aimed at identifying and solving the problems of the company, in order to develop business and meet the needs of consumers. It should be noted that we do not recommend using all the proposed metrics at once, as it isnot appropriate, but we suggest defining a number of indicators, depending on the scope of the enterprise, with the help of which it is possible to carry out an assessment, which will allow determining the most interesting marketing tools and making effective conclusions.
{"title":"Conceptual Approaches and Theoretical Model of the Concept of Marketing Metrics in the Modern Economy","authors":"E. Mitina","doi":"10.15688/jvolsu3.2019.1.11","DOIUrl":"https://doi.org/10.15688/jvolsu3.2019.1.11","url":null,"abstract":"In the modern world, marketing metrics are used to analyze the situation on the consumer market, as well as diagnose the causes and predict future events. They make it possible to compare the results of observations obtained at different periods of time or in different areas. It is an erroneous opinion that in marketing, most decisions are made without using quantitative calculations, since today they are one of the most difficult processes to measure. Basically, marketing research uses quantitative analysis skills that are necessary to manage the productivity of enterprise’s marketing activities; however, managers who are capable of conducting creative promotional activities rarely calculate the effectiveness of the implementation of this campaign. Therefore, it is recommended to consider the classification of marketing metrics by groups, since they are the gauge of any activity. The purpose of the article is to study the theoretical foundations of marketing metrics and conceptual approaches to grouping them. Under the marketing metrics we understand the continuous, regular monitoring and control of the quantitative indicators of the enterprise and the market as a whole, aimed at identifying and solving the problems of the company, in order to develop business and meet the needs of consumers. It should be noted that we do not recommend using all the proposed metrics at once, as it isnot appropriate, but we suggest defining a number of indicators, depending on the scope of the enterprise, with the help of which it is possible to carry out an assessment, which will allow determining the most interesting marketing tools and making effective conclusions.","PeriodicalId":30872,"journal":{"name":"Vestnik Volgogradskogo Gosudarstvennogo Universiteta Serija 1 Mathematica Physica","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87230820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-03-01DOI: 10.15688/JVOLSU3.2019.1.12
Karen Paytyan
The main purpose of this article is to present a criterion for assessing the quality of forecasting nickel exchange prices to support the decision-making of a metal trader, taking into account the specifics of their commercial activities. We consider the commercial operation of a metal trading company, which consists in purchasing a metal with a view to its resale in 14 days. Most of these operations occur in nickel-rich alloys, which suggests that their prices are largely determined by nickel quotes on the LME (London Metal Exchange). Therefore, metal traders need forecasting models with a long lead time series with a high degree of volatility. One of the first assumptions suggests that in order to ensure profitable trading, it is necessary, first of all, to correctly predict the direction of price change. On the other hand, it is intuitively clear that the better the model, the more likely it will be to guess the further trend. However, it remains an open question as to what accuracy of the forecast will provide the so-called break-even point to the metal trader. This work is devoted to the search for this facet. Another assumption that the quality of any model depends on the degree of volatility of the predicted time series helps to find the exact point from which we can talk about the possibility of successful trading. Taking into account these provisions, a criterion has been developed for assessing the quality of forecasting models, which makes it possible to state with high probability that the use of a forecast that meets it will ensure commercial success for the metal trader. It is also important to note that the quality of the model can be judged only after comparing its accuracy with the characteristics of the considered time series. The prediction error itself does not give an exhaustive picture of the quality of the applied model.
{"title":"Developing the Criterion of Exchange Quotation Prediction Quality for Metal Trader Decision Support","authors":"Karen Paytyan","doi":"10.15688/JVOLSU3.2019.1.12","DOIUrl":"https://doi.org/10.15688/JVOLSU3.2019.1.12","url":null,"abstract":"The main purpose of this article is to present a criterion for assessing the quality of forecasting nickel exchange prices to support the decision-making of a metal trader, taking into account the specifics of their commercial activities. We consider the commercial operation of a metal trading company, which consists in purchasing a metal with a view to its resale in 14 days. Most of these operations occur in nickel-rich alloys, which suggests that their prices are largely determined by nickel quotes on the LME (London Metal Exchange). Therefore, metal traders need forecasting models with a long lead time series with a high degree of volatility. One of the first assumptions suggests that in order to ensure profitable trading, it is necessary, first of all, to correctly predict the direction of price change.\u0000On the other hand, it is intuitively clear that the better the model, the more likely it will be to guess the further trend. However, it remains an open question as to what accuracy of the forecast will provide the so-called break-even point to the metal trader. This work is devoted to the search for this facet. Another assumption that the quality of any model depends on the degree of volatility of the predicted time series helps to find the exact point from which we can talk about the possibility of successful trading. Taking into account these provisions, a criterion has been developed for assessing the quality of forecasting models, which makes it possible to state with high probability that the use of a forecast that meets it will ensure commercial success for the metal trader. It is also important to note that the quality of the model can be judged only after comparing its accuracy with the characteristics of the considered time series. The prediction error itself does not give an exhaustive picture of the quality of the applied model.","PeriodicalId":30872,"journal":{"name":"Vestnik Volgogradskogo Gosudarstvennogo Universiteta Serija 1 Mathematica Physica","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90035375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.15688/JVOLSU3.2018.4.9
M. Tatarintsev, K. Yurchenko
{"title":"Concept of State Personnel Policy as a Mechanism of Macroeconomic Regulation of Employment and Unemployment","authors":"M. Tatarintsev, K. Yurchenko","doi":"10.15688/JVOLSU3.2018.4.9","DOIUrl":"https://doi.org/10.15688/JVOLSU3.2018.4.9","url":null,"abstract":"","PeriodicalId":30872,"journal":{"name":"Vestnik Volgogradskogo Gosudarstvennogo Universiteta Serija 1 Mathematica Physica","volume":"272 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75777729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.15688/jvolsu3.2018.4.8
S. Boldyreva
{"title":"The Role of Tourism in the Factors System of Socio-Economic Development of the Region","authors":"S. Boldyreva","doi":"10.15688/jvolsu3.2018.4.8","DOIUrl":"https://doi.org/10.15688/jvolsu3.2018.4.8","url":null,"abstract":"","PeriodicalId":30872,"journal":{"name":"Vestnik Volgogradskogo Gosudarstvennogo Universiteta Serija 1 Mathematica Physica","volume":"11 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74882451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.15688/JVOLSU3.2018.4.16
V. Novochadov, E. Ivantsova, P. Krylov, N. Onistratenko, A. Kholodenko
{"title":"The Study Metal Binding Protein Dominant Types of Plants and Microorganisms in Agrobiocenosis of the Volgograd Region","authors":"V. Novochadov, E. Ivantsova, P. Krylov, N. Onistratenko, A. Kholodenko","doi":"10.15688/JVOLSU3.2018.4.16","DOIUrl":"https://doi.org/10.15688/JVOLSU3.2018.4.16","url":null,"abstract":"","PeriodicalId":30872,"journal":{"name":"Vestnik Volgogradskogo Gosudarstvennogo Universiteta Serija 1 Mathematica Physica","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91056920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：