MIR (Modernization. Innovation. Research)最新文献

{"title":"Digital brand image management based on feedback loops","authors":"N. Ivashkova, G. Timokhina, I. Shirochenskaya","doi":"10.18184/2079-4665.2024.15.1.115-131","DOIUrl":"https://doi.org/10.18184/2079-4665.2024.15.1.115-131","url":null,"abstract":"   Purpose: is to propose a model for managing a digital brand image brand based on consecutive feedback loops from the image targetaudience.   Methods: collection, processing, and analysis of secondary data were carried out on the basis of desk research, synthesis methods, contentanalysis, and systemic, structural and functional data evaluation using an interdisciplinary approach.   Results: systemized methodological approaches in Russian and foreign practice by the authors served as the basis for development of a digital brand image management model based on consecutive feedback loops from the image target audience. Within the framework of the proposed model, it is supposed to create systems in a digital environment for providing feedback to the image target audience and monitoring of formed relationships with consumers. The authors' methodological recommendations for implementation of the proposed model are manifested in detailed approaches to organizing the relationship of the image object with the image target audience through different types of feedback loops, methods of monitoring responses and reactions of target consumers, methods of assessing image in a brand's digital environment to close feedback loops.   Conclusions and Relevance: loops of feedback from the brand’s image target audience are a causative mechanism of dynamic nature in which the output data of subjective and objective consumer assessment of brand reputation is used as input data for the management and enhancement of the digital image. Setting up a system of feedback from consumers through digital channels on the basis of consecutive loops allows you to correlate planned indicators of the brand image with the actual indicators, as well as identifi cation of the existing problems and introducing timely adjustments to decisions on managing a brand’s digital image.","PeriodicalId":373043,"journal":{"name":"MIR (Modernization. Innovation. Research)","volume":"15 51","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140745800","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}

{"title":"Human Capital Formation in High-Tech: Features of Government Policy","authors":"M. Flek, E. Ugnich","doi":"10.18184/2079-4665.2024.15.1.43-60","DOIUrl":"https://doi.org/10.18184/2079-4665.2024.15.1.43-60","url":null,"abstract":"   Purpose: is to reveal the peculiarities of government policy aimed at building human capital in high-tech industries.   Methods: this research is based on a systems approach; decomposition of human capital in order to identify systemic gaps in its formation; qualitative (traditional) analysis of government programs and projects; a comparative analysis of the directions of Russian government policy and some leading countries in the field of high technologies aimed at human capital development.   Results: the essence and structure of the organization's human capital are considered based on the stages of its reproduction, as well as from the position of its expanded interpretation. Systemic gaps in the formation of human capital of high-tech organizations have been identified, including gaps in the formation of individual and corporate human capital, as well as in the institutional and infrastructural support for its reproduction. The features of Russian government policy aimed at the formation of human capital in the high-tech sector are shown, in comparison with the policies of a number of foreign countries. The role of government programs and projects (“Priority2030”, “Professionalitet” and “Advanced Engineering Schools”) in overcoming systemic gaps in the formation of human capital in high-tech organizations is outlined.   Conclusions and Relevance: the performed analysis showed the presence of a wide range of government policy measures of a number of countries that occupy leading positions in the field of high technology, aimed at developing human capital in the high-tech sector. Among them are the development of fundamental science, interdisciplinary and mathematical knowledge, STEM competencies, as well as strengthening the interaction between the academic sector and the high-tech sector. The arsenal of tools of domestic government policy includes a focus on practice-oriented training, the development of digital competencies, advanced training of management personnel, as well as the development of interaction between the academic and high-tech sectors. The federal project “Advanced Engineering Schools” corresponds to the elimination of the largest number of system gaps. At the same time, the systemic gap at the stage of formation of general human capital, which manifests itself in the poor physical and mathematical training of schoolchildren, remains unresolved.","PeriodicalId":373043,"journal":{"name":"MIR (Modernization. Innovation. Research)","volume":"14 4‐5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140741397","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}

{"title":"Formation of the model for the commercialization of the company's digital intellectual assets","authors":"O. Loseva","doi":"10.18184/2079-4665.2024.15.1.80-95","DOIUrl":"https://doi.org/10.18184/2079-4665.2024.15.1.80-95","url":null,"abstract":"   Purpose: of the study is algorithmic modeling of the commercialization of digital intellectual assets (CIAS), taking into account pricing factors, risk and the level of commercial potential, based on the identifi cation of CIAS and determination of their specifics.   Methods: general scientific methods of comparative analysis, systematization and generalization, identifi cation of distinctive features and price-forming factors that take into account the specifics of the objects of research are used. To form a model of the commercialization of digital intellectual assets, the algorithmic approach, the method of expert assessments in calculating the indicator of commercial potential, approaches and methods of valuation in determining the initial value of assets were used.Results: the author formulated the defi nition of a digital intellectual asset (DIA), establishes its relationship with related categories of assets, identifi es two categories of DIA indicating common and distinctive properties. Based on the results of the identifi cation of DIA, the factors aff ecting the value and commercial potential of various types of DIA are determined. The method for calculating the indicator of the commercial potential, taking into account the factors considered, is proposed. The tools of the commercialization, as well as approaches and methods of estimating the initial cost for various categories of DIA are disclosed. The algorithmic model of the DIA commercialization is constructed.   Conclusions and Relevance: the algorithmic model of commercialization of new types of assets, digital intellectual assets, proposed in the article takes into account their specifi cs and factors aff ecting the initial cost and commercial potential. The model can be used by Russian companies to increase their competitiveness in the context of the development of the digital rights and technologies market. Further research should be devoted to the specifi cation of the commercialization algorithm for certain categories of DIA: 1) intellectual property objects in digital form; 2) digital (digital utilitarian) rights to such objects and their use, implemented exclusively according to the rules of the information system (investment platform).","PeriodicalId":373043,"journal":{"name":"MIR (Modernization. Innovation. Research)","volume":"30 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140745259","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}

{"title":"Adaptive management model of the higher education system in the context of the transition to the digital economy","authors":"R. Khuriev, F. Mambetova","doi":"10.18184/2079-4665.2024.15.1.132-147","DOIUrl":"https://doi.org/10.18184/2079-4665.2024.15.1.132-147","url":null,"abstract":"   Purpose: of the study is to develop an adaptive model of higher education system management in the context of digital transformation of the economy.   Methods: the methods of interdisciplinary, structural and logical analysis, typologization of management models, rating and expert assessments were used in the work. The methodological basis of the research was: a three-sided model of higher education management assessment, a \"management cube\", including a model of new managerialism, a two-plane model of higher education system assessment, level-based, adaptive approaches to higher education management.   Results: based on the analysis of the higher education management system in the context of the digital transformation of the economy, the need for the formation of new adaptive mechanisms and management models of this system as an area where human capital is formed and developed, necessary for the breakthrough development of the country. Also, the trends of digitalization in the field of higher education have been identifi ed. Recommendations for its adaptation to the digital transformation of the economy have been developed and substantiated. As a key tool of the adaptive management model, an organizational model of adaptive management of the higher education system has been developed, which makes it possible to adapt the entire education system to the challenges of digital transformation of the economy.   Conclusions and Relevance: the developed organizational model will make it possible to build an eff ective work of the higher education system using adaptive management mechanisms, that allow it to optimally adapt to modern transformational processes, that occur according to cyclical crisis phenomena and the next industrial revolution. Digital transformation and the conditions of Industry 4.0, as well as the technological singularity, which is already the reality, do not allow us to strategically correctly build one specifi c model of management of the higher education system, since the above-mentioned processes become the trigger for constant transformations, including in the field of education. The organizational model of adaptive management proposed by the authors is innovative, allowing to adapt iteratively to the ongoing transformations of social and economic systems. Thus, this model is strategically relevant and promising for the both modern conditions of functioning and long-term development of the education sector.","PeriodicalId":373043,"journal":{"name":"MIR (Modernization. Innovation. Research)","volume":"13 24","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140745759","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}

{"title":"The model of the value system of Russian youth based on Bayesian intellectual measurements","authors":"R. Zhukov, S. V. Prokopchiva, I. V. Bormotov, E. Manokhin, I. D. Rudneva","doi":"10.18184/2079-4665.2024.15.1.96-114","DOIUrl":"https://doi.org/10.18184/2079-4665.2024.15.1.96-114","url":null,"abstract":"   Purpose: of the article is to develop a model of the value system of Russian youth, which can form the basis for the formation of the orientations of young people necessary for the state, contributing to the sustainable development of the Russian Federation.   Methods: the article used both traditional methods of scientifi c analysis and methods of Bayesian intelligent measurement methodology used in conditions of uncertainty, inaccuracy and incompleteness of data characteristic of social and socio-economic systems.   Results: in the presented study, the extensible hierarchical information model of the value system of Russian youth has been developed. The methodology for processing questionnaire data has been developed, the results of which are presented on numerical and linguistic scales, which makes it possible to take into account the uncertainty of the information received. According to the results of the survey of university students of 10 subjects of the Russian Federation aged 17 to 30 years, a total of 1816 people obtained the values of factors characterizing the value world of Russian youth, which allowed her to form her portrait. Some value factors of young people of the Tula region are evaluated and analyzed.   Conclusions and Relevance: the proposed model and methodology for processing personal data allows us to create the adequate holistic portrait of Russian youth in modern economic conditions. The formation of two groups of young people characterized by unfavorable and favorable value attitudes towards Russian society has been revealed, which in the future may lead to a confl ict of social and economic interests, thereby negatively aff ecting the pace of economic growth and sustainable development of the state. In order to reduce internal tension between youth groups and the formation of values inherent in Russian society, measures at the federal and regional levels are proposed.","PeriodicalId":373043,"journal":{"name":"MIR (Modernization. Innovation. Research)","volume":"14 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140741614","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}

{"title":"Economic and technological modernization and transformation of Russia in the context of a new reality","authors":"V. M. Bondarenko","doi":"10.18184/2079-4665.2024.15.1.61-78","DOIUrl":"https://doi.org/10.18184/2079-4665.2024.15.1.61-78","url":null,"abstract":"   Purpose: through the prism of new knowledge generated by the author, to explore possible ways of modernization and transformation of Russia in the conditions of the new reality: conducting the special military operation, the sharp confrontation with the collective West, the series of sanctions and counter-sanctions, the new economic course – supply-side economics, the Concept of technological development until 2030 and development of neural network artifi cial intelligence.   The article is a natural continuation and an integral part of the research conducted by the author over several decades and dedicated to finding ways to a future without crises and destructive wars for Russia and the global world.   Methods: the article uses a complex of general scientifi c methods, including analysis, generalization, comparison, etc. The research is based on the results of the author’s previous works and is relies on the methodological tools formed in them – new knowledge, a new scientific paradigm (NSP).   Results: the author analyzed the state of Russia in the context of the need to gain economic and technological sovereignty. It is shown that there remains a lack of eff ective ways out of the deepest crisis and understanding the future in economic, scientifi c and technological aspects. Analysis of Russian and foreign publications through the prism of new knowledge made it possible to once again prove that the future of the world does not lie in the development of artifi cial intelligence, but in the transition to a new development paradigm (NDP) and comprehensive human development in a new model of life.   Conclusions and Relevance: the conclusions of the author’s previous research on the need to transition to a new development paradigm were confi rmed. New evidence has been obtained that Russia, in the conditions of the new reality that began in February 2022, has become even closer to switching to NDP, the meaning and goal of which is the person himself, within the framework of which his highest need is satisfi ed – to become perfect in the physical, intellectually and spiritually.","PeriodicalId":373043,"journal":{"name":"MIR (Modernization. Innovation. Research)","volume":"4 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140746102","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}

{"title":"The role of artificial intelligence in building an adaptive educational environment","authors":"M. Izmailova","doi":"10.18184/2079-4665.2024.15.1.8-26","DOIUrl":"https://doi.org/10.18184/2079-4665.2024.15.1.8-26","url":null,"abstract":"   Purpose: of the article is to study the influence of artificial intelligence on the construction of an adaptive educational environment that takes into account the positive and negative impact of artificial intelligence, as the core of digital technologies, on the well-being of participants in the educational process.   Methods: the work uses a complex of theoretical methods, including axiomatic, formalization, abstraction, logical analysis, historical retrospection. The most signifi cant practical research methods include statistical, operationalization and evaluation, comparative analysis.   Results: the article provides a statistical substantiation of the demand for artifi cial intelligence in the education. The current educational problems are shown, in solving which it is advisable to use artifi cial intelligence. The article describes the trends in the use of artificial intelligence in the Russian education. The interpretation of the adaptive educational environment is given and the possibilities of using artificial intelligence as a tool for its construction are shown. The logical sequence for constructing an adaptive intelligent teaching system is proposed. The analysis of the impact of digital technologies used in hybrid learning (including artifi cial intelligence) on the well-being of participants in the educational process was carried out. The need for a rational, balanced and cautious approach to the use of artifi cial intelligence in education is emphasized, which gives rise to numerous ethical problems, ignoring which can negatively aff ect the values of education.   Conclusions and Relevance: in the context of digitalization of the economy and society, the key technology of which is artifi cial intelligence, education is facing technological challenges that force it to adapt to new operating conditions. The penetration of artifi cial intelligence into the field of education is the pattern of scientific and technological progress that cannot be resisted. The positive aspects and threats of using artificial intelligence in education should be critically assessed, and informed decisions should be made on this basis. Considering the specifics of the educational environment in which the foundation of personality is laid, and the need to preserve the values of education as a factor of cultural progress, priority in goal-setting and the meanings of education should remain with a person whose assistant can be artifi cial intelligence.","PeriodicalId":373043,"journal":{"name":"MIR (Modernization. Innovation. Research)","volume":"66 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140747826","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}

{"title":"Digitalization as a determinant of transformation of the real sector of the economy of the macroregion (using the example of the North Caucasus Federal District)","authors":"G. Batov","doi":"10.18184/2079-4665.2024.15.1.27-42","DOIUrl":"https://doi.org/10.18184/2079-4665.2024.15.1.27-42","url":null,"abstract":"   Purpose: is to study of the processes of digitalization and digital transformation of the real sector of the economy of the regions of the North Caucasus Federal District.   Methods: the methodological basis of the study was the concept of the digital economy, the theoretical principles of supply-side economics, the systems approach, trend analysis and predictive analytics. The study is based on the use of the methods of economic and statistical analysis, scientifi c abstraction, analogies and scientifi c generalizations. The methods used are characterized by validity and show a high degree of eff ectiveness.   Results: digitalization and digital transformation processes are underway in the North Caucasus Federal District, but the pace remains low. To accelerate these processes, it is necessary to solve two interrelated problems: fi rstly, to materialize the processes of digitalization and digital transformation in the real sector of the economy of the regions of the federal district, and secondly, to train personnel in certain specialties who can eff ectively operate digital technologies. In the fi rst case, it is possible to use the model of catch-up development at the regional level, which will make it possible to implement the principle of “advantage of backwardness” and use the accumulated global and regional experience in the transition to the modern trends in the operation of digital technologies. In the second case, it is proposed to organize special centers in the subjects of the district for retraining digital technologies specialists with the necessary competencies and/or advanced training with the issuance of the confi rming certifi cates. Such centers could train exclusive specialists at the request of enterprises or engage in refresher training and retraining of the necessary specialists. The creation of the centers is possible on the basis of public-private partnership.   Conclusions and Relevance: the main task of the digital transformation of industry is considered to be the modernization of production process management, which will lead to the signifi cant increase in labor productivity. To implement such a scenario, the economic entities in the regions of the North Caucasus Federal District need to move away from the traditionalist approaches that take place in the organization and management of enterprises, and switch to the processes of digitalization and digital transformation of the real sector of the economy of the district.","PeriodicalId":373043,"journal":{"name":"MIR (Modernization. Innovation. Research)","volume":"743 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140749158","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}

{"title":"Project approach as a tool for the implementation of national projects in Russia","authors":"N. V. Kuznetsov, T. Pershina","doi":"10.18184/2079-4665.2023.14.4.716-732","DOIUrl":"https://doi.org/10.18184/2079-4665.2023.14.4.716-732","url":null,"abstract":"Purpose:  of the presented research is to evaluate various methods of project management, including methodological approaches already used in our country, for their application in the implementation of national projects of the Russian Federation.Methods: the work used traditional methods of scientific theoretical analysis, including system analysis, as well as an induction approach.Results: the authors consider the historical aspect of the formation of the project approach as a method used in the professional field of management. In the work, various management approaches presented by different countries were studied and systematized. The analysis of project management experience in the leading countries of the world, as well as in the Russian Federation, was carried out. The study presents the use of the project approach in the implementation of national projects, an assessment of the work of the project implementation monitoring system is given. Based on the identified methodological and organizational problems in the formation of new and implementation of current national projects in Russia, the authors conclude that it is necessary to improve project management methods and monitoring the achievement of performance indicators of national projects.Conclusions and Relevance:  the specifics of public administration in Russia require the development of their own design methods in the management system, which will only rely on those already created in the world, but not copy them completely. So, according to the authors, the best practice will be the use of flexible management methods. Existing methodologies and individual strategies of other countries can only help in developing ideas for both the general concept of the implementation of existing national projects and for designing new ones.","PeriodicalId":373043,"journal":{"name":"MIR (Modernization. Innovation. Research)","volume":"35 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138950752","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}

{"title":"Assessment of opportunities for the development of organic agriculture in municipal areas","authors":"I. V. Palatkin, A. Pavlov, A. Kudryavtsev","doi":"10.18184/2079-4665.2023.14.4.572-587","DOIUrl":"https://doi.org/10.18184/2079-4665.2023.14.4.572-587","url":null,"abstract":"Purpose:  of the research is to develop a methodology for assessing the development opportunities of organic agriculture in municipal areas based on their clustering.Methods: within the framework of the study, methods of comparing averages, grouping, clustering based on Kohonen's self-organizing neural network were used. The study was conducted on the materials of the Penza region, the complex of analyzed indicators was formed on the basis of official statistical data on municipal districts of the region. The applied approach assumes the possibility of carrying out similar calculations based on the materials from other subjects of the Russian Federation.Results:  the study proposes a system of indicators characterizing the development potential of the production of certain types of organic agricultural products on the territory of municipal districts. Clustering of districts was carried out, as a result, 6 clusters were identified, characterized by various combinations of the values of the analyzed factors. The characteristics of each cluster in terms of opportunities for the development of organic agriculture are given. The areas of activity with the best potential are indicated, as well as the main unfavorable factors. 2 clusters have been identified that can be considered as pilot ones for the implementation of the regional program for the development of organic agriculture.Conclusions and Relevance: at the initial stage of the development of the organic production sector, it is important to identify growth points, types of agricultural activities in certain areas that may be the most promising within the framework of the introduction of the principles of organic farming. Given the diversity and high variability of the values of indicators that determine the potential for the development of organic agriculture in individual territories, clustering can be an effective method that allows differentiating and increasing the targeting of state support measures for the relevant producers. The application of efforts for the development of organic agriculture, taking into account the peculiarities of the formed clusters, will be more effective.","PeriodicalId":373043,"journal":{"name":"MIR (Modernization. Innovation. Research)","volume":"14 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138956535","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}