Trend Of Convergence Research Articles

The trend in neurological diseases in Moscow adolescents, before and after the COVID-19 pandemic

Introduction. During the pandemic the stress level among adolescents has increased significantly due to the uncertainty of the future, awareness for the health of their friends and family, and changes in the educational process and daily routine. In addition, increased time spent indoors, lack of physical activity, poor nutrition and sleep disorders also contribute to the deterioration of the nervous system of adolescents. It is necessary to conduct additional research and monitoring of the incidence of the nervous system among adolescents in the post-pandemic period to assess and prevent possible negative consequences on their health. The purpose is to analyze the trend in the incidence of diseases of the nervous system in adolescents, including gender differences, using the example of Moscow over the period before and after the Covid-19 pandemic. Materials and methods. The following methods are applied: summary and grouping, calculation of relative and average values, dynamics series, distribution indices, analysis of statistical aggregates. The data of the federal statistical observation form No. 12 “Information on the number of diseases registered in patients living in the service area of a medical institution” for 2016–2023 was used. Results. Due to the COVID-19 pandemic in Moscow, there was an increase in the incidence during the “post-covid” period. In 2021–2023, the gain in the incidence of disorders of the autonomic nervous system (ANS) is twofold higher than over the five-year “pre-covid” period. Research limitations. The study has regional (Moscow) limitations. Conclusions. The average Moscow rates of the morbidity of the nervous system, while remaining lower than the Russian ones, are approaching them in trend. There were no significant changes in the difference between diseases in boys and girls, but in terms of episodic and paroxysmal disorders, the trend in convergence of indices was noted.

Research on Online Games and Social Interaction

This paper delves into the central position of online games in contemporary society and their close relationship with social interaction. With the popularity of the Internet, online games have become one of the most important ways of leisure and social communication. The study outlines the development of MMOs, from their origins to their diverse classifications, and in particular how their unique social characteristics facilitate interactions between players. Through theoretical analysis combined with social exchange theory and symbolic interaction theory, this paper reveals the mechanisms of social interactions in MMOs, including inter-player exchanges, cooperation and competition, and explores how these interactions profoundly affect players' gaming experience and behavioural decisions. Further, this paper analyses the trend of convergence between online games and social networks, and how this convergence enhances the social attributes and player engagement of games. At the same time, the paper also focuses on the social problems that online games may bring, such as Internet addiction and social disorders, cyberbullying, etc., and looks forward to the impact of technological advances on future social interaction patterns. Finally, the paper summarises the potential and challenges faced by online games in promoting healthy social interactions, and puts forward suggestions for future research with a view to promoting the healthy development of the field of online games and social interactions.

The judicial response to rent controls in Europe: Protecting property rights against state’s intervention?

This essay examines, from a legal and economic perspective, the judicial response to rent controls in the EU focusing on three courts that operate at the fundamental rights and constitutional level: the European Court of Human Rights (ECtHR), the German Federal Constitutional Court (BVerfGE), and the Italian Constitutional Court. Based on an analysis of a sample of judicial decisions rendered over time, a convergent trend emerges: these Courts have recognized and effectively protected the landlord’s property rights against rent controls that were disproportionate and could not ensure a reasonable return on investment. This trend is prominent in the jurisprudence of the ECtHR: the Strasbourg Court has contributed to reshaping the distribution of power between tenants and landlords, encouraging the transition of Eastern and Southern European Countries to the common European housing market. In both upholding and striking down rent control measures, judges generally take market value and the comparative reference price as the preferred benchmarks for fair rent price. A consumption-based and financial characterization of housing, coupled with the fundamental right to derive economic benefits as core elements of the right to property, underpin the legal reasoning of the three Courts.

Marketing Strategies of Cultural Tourism Industry under Media Convergence Background

The advent of the era of media convergence has broken down the barriers between traditional and emerging media, bringing profound changes to the marketing models of the cultural tourism industry. This paper explores the impact of media convergence on the development of the cultural tourism industry by analyzing its concepts and characteristics. It further delves into the application of diversified media channel integration, digital, and interactive marketing strategies. By building an integrated media matrix and fostering cross-industry collaborations, cultural tourism can maximize brand communication effectiveness, enhancing consumer engagement and loyalty. This study also examines typical domestic and international cases to summarize the successful experiences and practical paths of cultural tourism marketing strategies in the context of media convergence. The research suggests that the cultural tourism industry should continue to focus on media convergence trends, innovating marketing strategies to enhance market competitiveness and achieve a win-win situation for both cultural and economic benefits.

Research on Online Games and Social Interaction

This paper delves into the central position of online games in contemporary society and their close relationship with social interaction. With the popularity of the Internet, online games have become one of the most important ways of leisure and social communication. The study outlines the development of MMOs, from their origins to their diverse classifications, and in particular how their unique social characteristics facilitate interactions between players. Through theoretical analysis combined with social exchange theory and symbolic interaction theory, this paper reveals the mechanisms of social interactions in MMOs, including inter-player exchanges, cooperation and competition, and explores how these interactions profoundly affect players' gaming experience and behavioural decisions. Further, this paper analyses the trend of convergence between online games and social networks, and how this convergence enhances the social attributes and player engagement of games. At the same time, the paper also focuses on the social problems that online games may bring, such as Internet addiction and social disorders, cyberbullying, etc., and looks forward to the impact of technological advances on future social interaction patterns. Finally, the paper summarises the potential and challenges faced by online games in promoting healthy social interactions, and puts forward suggestions for future research with a view to promoting the healthy development of the field of online games and social interactions.

키워드 네트워크 분석을 활용한 인공지능 융합 영재교육 연구 동향 분석

Objectives The purpose of this study is to analyze trends in artificial intelligence convergence gifted education in elementary and middle schools that have been studied with a focus on artificial intelligence, and to derive important issues, topics, trends, and trends in related research. Methods Research trends were analyzed for 75 literatures related to artificial intelligence and artificial intelligence convergence gifted education research and education programs. Analysis data was collected through Academic Research Information Service (RISS). The collected data was refined using Excel and text, and major keywords were identified, analyzed, and visualized through frequency analysis and keyword network analysis. CONCOR cluster analysis was used to determine the centrality of keywords. Results First, since 2017, research on artificial intelligence convergence gifted education has been steadily expanding in terms of content and methods. Second, the results of frequency analysis of the main keywords in research related to artificial intelligence convergence gifted education showed ‘artificial intelligence’, ‘artificial intelligence education’, ‘gifted education’, ‘computational thinking ability’, and ‘machine learning’.Third, as a result of TF-IDF weight analysis, ‘artificial intelligence’, ‘artificial intelligence education’, ‘gifted education’, ‘computational thinking ability’, ‘science gifted’, ‘artificial intelligence education program’, and ‘information gifted’ were found. In general, it was similar to the results of the frequency analysis of major keywords, but it was confirmed that there was a difference in the rankings. Keywords with relatively high weight compared to their frequency of occurrence are ‘science gifted’, ‘creativity’, and ‘artificial intelligence education program’.Fourth, through semantic network and CONCOR analysis, it can be confirmed that artificial intelligence convergence gifted education research is being conducted focusing on ‘educational content’, ‘educational effect’, ‘teaching method’, and ‘educational target’. Conclusions This study derived the main topics and flows of research based on the results of keyword network analysis of domestic artificial intelligence convergence gifted education-related research.

Analysis of Spatiotemporal Differences and Influencing Factors of Land Use Carbon Emissions in Ningxia

Analyzing the spatiotemporal differences in land use carbon emissions systematically and exploring their influencing factors for the rational allocation of land resources is of great importance and promoting collaborative emission reduction in this region. Based on the calculation of land use carbon emissions in Ningxia and its prefecture-level cities from 2000 to 2021, the regional differences in carbon emissions, economic efficiency, and carbon sink capacity were reflected through the difference index, carbon emission intensity, economic contribution rate, and carbon sink ecological carrying capacity. The results were as follows： ① From 2000 to 2021, the land use carbon emissions in Ningxia showed a significant increase by 110 919 400 t. Construction land was the main carbon source land, accounting for 99.57% of the total carbon emissions in 2021, and forest land was the main type of carbon absorption, accounting for 79.22% of the total carbon absorption in 2021. ② During the research period, the carbon emission difference among prefecture-level cities showed a trend of first rising and then slightly falling, with the gap reaching the maximum in 2016. ③ Although the overall difference in carbon emission intensity among prefecture-level cities showed a trend of narrowing and convergence, the economic contribution coefficient and carbon sink ecological carrying coefficient had significant differences, and the economic contribution rate and carbon emission contribution rate were both in a relatively unbalanced state, with obvious regional differences. ④ Land use carbon emission intensity, land use structure, economic development level, and population all played a promoting role in land use carbon emission, with contribution rates of 56.48%, 41.27%, 85.20%, and 9.29%, respectively. The contribution value of land use carbon intensity per unit GDP was negative, which inhibited the increase of land use carbon emission.

Unveiling Poverty Dynamics in India: Examining Convergence and Determinants at Sub-National Level

ABSTRACT This paper tries to investigate the question of whether the poverty ratio across Indian states is converging in the post-2000s. We addressed this question of spatial convergence of the poverty ratio using unconditional convergence over the period 2004–05 to 2018–19 for 18 major states of India, considering both rural and urban regions. We used the unit-level data of NSSO’s Consumer Expenditure Surveys (CES) for the 61st, 68th and PLFS 2018–19 rounds for the analysis. Besides, we try to assess the driving factors of poverty through a panel regression model. The results reveal that in the first period from 2004–05 to 2011–12, Indian states experienced a divergence in the overall poverty ratio and rural poverty. However, the second period, 2011–12 to 2018–19, witnessed no specific trend of convergence or divergence across states. Again, in the case of urban poverty, there is no particular pattern of poverty convergence or divergence during both periods. The study shows that the Gini coefficient, educational expenditure, household size, infant mortality, literacy rate, MPCE, primary-sector income and per capita power availability are the significant determinants of poverty in India.

Historical Welfare Dynamics of the USSR Republics in the Light of Anthropometric Data: Convergence or Divergence?

The historiography of the dynamics of well-being in Soviet republics remains a subject of discussion, particularly with regard to the patterns of convergence or divergence in living standards and the stages at which these processes were predominant. A variety of socio-economic indicators are employed for assessment, including GDP per capita, real incomes, public expenditure, consumption, housing provision, and life expectancy. However, the sources utilized for the study of these parameters are often imperfect. In recent decades, anthropometric data have been employed as an indicator of well-being. Historical anthropometry has demonstrated that average human height (stature) serves as a sensitive and comprehensive measure of biological well-being. The objective of this article is to examine the processes of convergence and divergence in the well-being of Soviet republics through the lens of anthropometric data. The findings indicate that while the early decades of the USSR were characterized by convergence in average height and biological well-being, the last decades were characterized by the intensification of divergence among the Soviet republics. Inequality increased between the western and southeastern regions of the USSR. The conclusions derived from anthropometric data are supplied by other indicators and factors of well-being. The analysis highlights the significance of demographic models and sociocultural factors, alongside government policies, in influencing trends of convergence and divergence.

Analyzing the dynamics of deforestation in the world: applying Markov models to identify convergence trends

Analyzing the dynamics of deforestation in the world: applying Markov models to identify convergence trends

SMALL BUSINESS IN THE ECONOMIC DYNAMICS OF UKRAINE DURING 2012 – 2022

The article analyzes the dynamics of formation and use of small business potential in promotion of socio-economic development of Ukraine. The novelty of the author's approach lies, first, in the focus on the characteristics of the functioning of small and micro-businesses, which allows to reflect the presence of specific trends that qualitatively distinguish the processes of adaptation and development of small business and require differentiation of approaches and theoretical foundations of their regulatory policy. Secondly, by taking into account the ratio of socio-economic efficiency achieved by small and large business, which is interpreted by the authors as a crucial sign of the potential for accelerating economic development that can be ensured by rationalizing the forms of interaction between large, medium and small business. Using the methods of comparative analysis of the dynamics of the contribution of micro, small, medium and large enterprises to the creation of added value and assessing the changes in the ratio of labor productivity at enterprises of different scales of economic activity, the authors substantiate the conclusion about the leading role of small enterprises in ensuring the expansion of factor income creation: it is small enterprises that have increased the scale of value creation, in fact, have become the only center of growth against the background of ten years of stagnation in the groups of large and medium enterprises. The authors also substantiate the dominance of the trend of convergence of the basic indicator of economic efficiency of enterprises of different sizes and interpret this trend as a critically important feature of the small business functioning in Ukraine: in an extremely unstable macroeconomic environment, small businesses are able not only to maintain and even expand their resource potential, but also to approach medium and large enterprises in terms of economic efficiency, in the first place, with the higher competitiveness inherent in this segment of the domestic economy and, accordingly, with more incentives to increase efficiency as a leading factor in the realization of the tasks of business owners

Digital economy empowered entrepreneurship

PurposeAs an important engine of economic growth, the digital economy is bringing new opportunities for the promotion of entrepreneurship. However, key questions regarding the extent of the effect of the digital economy on entrepreneurship remain unanswered. This study examines how the digital economy influences entrepreneurship in China using provincial data from 2011–2020, applying convergence tests and spatial econometric models.Design/methodology/approachBased on theoretical analysis and using macro provincial data covering the period of 2011–2020, we adopt a diversified empirical analytical method and apply a combination of the convergence trend test, spatial auto correlation test, and spatial Durbin model to test the research hypotheses.FindingsFirst, there is spatial correlation between the digital economy and entrepreneurship. Second, the overall trend of China’s digital economy shows s convergence, with the whole country and the eastern region showing absolute β convergence and the whole country as well as the central and western regions showing β conditional convergence. Third, the digital economy can significantly promote entrepreneurship and has spatial spillover effects. Moreover, higher education has a negative moderating effect on the process of digital economy empowering entrepreneurship.Research limitations/implicationsStudying the spatially correlated impacts of the digital economy on entrepreneurship enhances our understanding of its contribution to economic growth. Policy-makers can use these findings to develop targeted digital infrastructure investments in lagging provinces, guide entrepreneurs to better grasp the opportunities of the digital economy, and provide support for innovation and entrepreneurship. The findings also could offer Chinese experience that can be used to guide developing countries in utilizing the digital economy to enable entrepreneurship.Originality/valueThis paper expands and enriches the analytical focus on digital economy-empowered entrepreneurship and complements the current theoretical research on the moderating effect of the digital economy in empowering entrepreneurship.

Partner heterogeneity and driving factors of China's export embodied energy intensity

Although China's energy consumption is very high, foreign demand has become crucial factor affecting China's energy consumption due to exports. A detailed analysis of the embodied energy intensity of China's exports from the demand side could provide valuable insight into promoting China's energy-saving development. This paper explores disparities in the embodied energy intensity of China's exports to different trading partners and the energy supply structure behind these exports. Furthermore, it explores the driving factors of export embodied energy intensity using multiplicative structural decomposition analysis. The results show that China's export embodied energy intensity to developing countries, such as India, is higher than that of European and American countries; however, a convergence trend has emerged over time. Regarding the driving factors influencing changes in export embodied energy intensity over time, the sectoral energy intensity effect plays a pivotal role in promoting its decline, while the production structure and export structure effects change from inhibition to weak promotion. The adjustment of export structure has significant potential for reducing China's export embodied energy intensity, especially in emerging economies. Finally, this paper proposes policy directions for collaborative opening up, energy saving, and emission reduction goals.

Study on the evolution of multi-level collaborative innovation networks in China’s cloud manufacturing industry

ABSTRACT CMfg is a new service-oriented manufacturing mode integrating new-generation information technologies, and its development promotes the digital transformation of China’s manufacturing industry. Exploring the evolution trend of CMfg's co-innovation networks is essential to the development of manufacturing digitalisation. The research is carried out from three levels: The evolutionary characteristics of the organisational co-innovation network in the CMfg industry are identified through SNA and THA; the evolution of technological co-innovation network is analysed by using FP-Growth and the textual analysis, to recognise the technology convergence trends; the evolution of the factors affecting regional collaborations are discovered by using QAP model to analyse the regional co-innovation network. Following conclusions are achieved: CMfg co-innovation is centred on state-owned enterprises in the power and telecommunication industries, with University–Industry collaboration as the main form; the current hot spots of CMfg technologies are the Resource Perception-and-Access, the Resource Virtualisation-and-Service; the regional collaboration in China's CMfg industry tends to be partnership-led and multi-polar. It suggests that: In the CMfg industry, more enterprises-supporting policy should be made, while the Virtualisation-and-Service technologies need more attention, and the partnerships among regions should be further enhanced.

Sepsis Research Using Omics Technology in the European Union and the United Kingdom: Maps, Trends, and Future Implications.

High-throughput omics technologies have become valuable tools for systems science research and clinical management of sepsis. This article analyzes sepsis research using omics technologies in the European Union (EU) and the United Kingdom from 1990 to May 2023 using bibliometric data from the Web of Science database. Using VOSviewer for network analysis, we examined the distribution patterns, funding characteristics, and collaborations among the states, noting trends of convergence and divergence. The analysis included 2078 articles, revealing an increasing rate of publications on sepsis research using omics approaches. The United Kingdom's research output is notably high, contributing 28.3% of the total research from the EU and United Kingdom combined. Germany, France, the Netherlands, and Italy together account for 56.9% of the publications from the EU member states. The United States is the leading international collaborator, particularly with the United Kingdom, followed by Germany and France. The EU-15 countries have significantly more publication outputs in this domain with growing but limited inclusion of the newer members of the EU. We suggest that the role of EU member states and the United Kingdom in sepsis research using omics technologies can be advanced by facilitating high-value, technology-driven health research, fostering collaboration, convergence, and equity in global health and biomedical research.

Technology park possibilities in implementing the system of digital civil and patriotic education at the university

Introduction. Trends in digitalization and convergence in education, the introduction of distance learning technologies affect both the education system and the educational process as its significant component. Traditional forms and methods of educational work, which were effective with previous generations of students, show low results with generation “Z”. In this regard, digital means of education, implemented within the framework of a digital educational system, become relevant, which would allow students to move from the position of an observer to the state of an active participant in the educational process. The development of a system of civic-patriotic education is becoming the most relevant and in demand in the university environment.Materials and Methods. The research was carried out by analyzing scientific literature on the research problem, analyzing regulatory sources, summarizing our own practical experience on the problems of digital technologies for civic and patriotic education of youth.Results. The article presents a description of the system of digital civic-patriotic education being developed at the South Ural State Humanitarian Pedagogical University. The developed system of digital civic-patriotic education will be implemented on the basis of the university website, taking into account the capabilities of the technology park of universal pedagogical competencies. The offices created in the technology park provide an opportunity for the implementation of various civil-patriotic activities.Discussion and Conclusions. Currently, there is an urgent need in universities to conceptually substantiate and develop a digital education system that would contribute to the activation and interest of students in the process of education and self-education. The system of civic-patriotic education will be implemented taking into account the capabilities of the technology park equipment: VR technologies, robotics, 3D modeling, etc. The developed system of digital civicpatriotic education includes such digital educational technologies as: virtual excursions, video resources, social and civic-oriented projects, web quests, cultural and historical Internet portals, etc.

From pixels to prosperity: does the digital economy reinforce or mitigate urban economic convergence in China?

ABSTRACT In an era where the digital economy is reshaping global economic landscapes, its impact on urban economic convergence remains a subject of considerable debate. This study delves into the intricate relationship between the digital economy and urban economic convergence across 337 prefecture-level cities in China from 2006 to 2020, a critical area of research given the country’s rapid digitalization and urban development. Using the β-convergence model, our findings reveal a general trend of economic convergence among cities, with the digital economy both facilitating and hindering this process. In addition, the impact of the digital economy on urban economic convergence is found to be heterogeneous, significantly influenced by the levels of human and physical capital and the extent of digitalization within cities. This heterogeneity underscores the presence of a ‘digital divide’, where the benefits and challenges of digitalization are not uniformly experienced across urban centres. Conclusively, we recommend targeted policy interventions to bridge the digital divide, enhancing digital literacy, and developing digital infrastructure in underdeveloped urban regions. Such targeted measures are essential for ensuring that the digital economy serves as a catalyst for equitable and sustainable urban development across China’s diverse urban landscape.

Convergence Analysis and Testing of Regional Effects of Green Finance on The Growth of Renewable Energy

ABSTRACT A paradigm shift in energy production and use is essential in the pursuit of carbon peaking and neutrality, and the expansion of renewable energy is a cornerstone of such a shift. This article first proposes an index that comprehensively measures renewable energy development in 30 provinces in China from 2010 to 2022. Then, the σ and β convergence models are applied to investigate the uniformity of renewable energy development. Furthermore, a spatial Durbin model is estimated to examine the spatial impact of green finance on renewable energy development. The results show that from 2010 to 2020, China has witnessed a significant increase in renewable energy use in its eastern, central and western regions, with the western region accelerating faster than its counterparts. During the same period, a remarkable trend of high convergence in renewable energy development has been observed, despite a slowdown in the spatial convergence rates between the central, eastern, western and national levels. The positive spatial spillover effect of renewable energy has increased significantly. The growth of renewable energy in the region and its surrounding areas is positively influenced by the growth of green finance.

Benchmarking Correlation-Consistent Basis Sets for Frequency-Dependent Polarizabilities with Multiresolution Analysis.

This paper presents the first converged frequency-dependent HF polarizability results for general molecules, on a set of 89 closed-shell atoms and molecules. The solver employs multiresolution analysis (MRA) in a multiwavelet basis to compute both ground and response states to a guaranteed precision, which are validated against independent numerical grid calculations on atoms and linear molecules. The MRA ground-state energies and response properties are used to evaluate results in correlation-consistent basis sets up to 5Z augmented with either single or double diffuse functions and core-polarization functions. Systematic trends are revealed through consideration of chemical composition as well as the use of machine learning to cluster convergence trends, the latter suggesting the possibility of learning and correcting basis-set error.

Analysis of Economic Convergence in the European Union

Abstract The article analysis the economic convergence of member states of the European Union through ten main macroeconomic indicators. Employing a combination of statistical methodologies encompassing, such as descriptive statistics, multiple regression and ANOVA analysis, the research intends to reveal an updated outlook and also the big picture of economic convergence process within the European Union. Its results, analysing economic indicators, show the serious convergence trends between economies of EU-27 member states in general, but particularising, we can observe variations of the progress for each member state. Also, has been remarked that when the GDP per capita has increased in most of the member states, the differences have significatively decreased, these still exist. Moreover, convergence is discernible in inflation rates, unemployment rates, and trade balances. In the same way, the analysis pointed out also the differences that exist between member states, which have to be treated and separated, but together through inclusion policies, social and economic, to have as a final goal, the absolute convergence to be realised through shorter period of time than the actual trend. Premises, likewise, the realities that exist in the present can lead to a deeper and feasible convergence, even if it can offer the growing rhyme in comparing some states with others. In conclusion, the article highlights the fact that is much more than necessary that political strategies of member states individually, and also member states of the European Union to get together regarding aligning to the best economic and social level.