Journal articles on the topic 'Cluster Analysis: Basic Concepts and Methods'
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1
Nemani, Ramya. "Cluster and Factorial Analysis Applications in Statistical Methods." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 3 (April 11, 2021): 5176–82. http://dx.doi.org/10.17762/turcomat.v12i3.2145.
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Cluster analysis is a mathematical technique in Multivariate Data Analysis which indicates the proper guidelines in grouping the data into clusters. We can understand the concept with illustrated notations of cluster Analysis and various Clustering Techniques in this Research paper. Similarity and Dissimilarity measures and Dendogram Analysis will be computed as required measures for Analysis. Factor analysis technique is useful for understanding the underlying hidden factors for the correlations among the variables. Identification and isolation of such facts is sometimes important in several statistical methods in various fields. We can understand the importance of the Factor Analysis and major concept with illustrated Factor Analysis approaches. We can estimated the Basic Factor Modeling and Factor Loadings, and also Factor Rotation process. Provides the complete application process and approaches of Principal Factor M.L.Factor and PCA comparison of Factor Analysis in this Research paper
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Nikitina, M. A., I. M. Chernukha, Ya M. Uzakov, and D. E. Nurmukhanbetova. "CLUSTER ANALYSIS FOR DATABASES TYPOLOGIZATION CHARACTERISTICS." Series of Geology and Technical Sciences 2, no. 446 (April 15, 2021): 114–21. http://dx.doi.org/10.32014/2021.2518-170x.42.
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The article deals with basic concepts of cluster analysis and data clustering. The authors give brief information on the history of cluster analysis and its first applications. The article gives the classification of methods by the way of data processing and analysis in cluster analysis. The detailed description of the popular, non- hierarchical K-means algorithm is given. When developing databases, their structure should provide for the division of products into clusters based on various characteristics. It is necessary to consider the division into clusters based on other characteristics, such as allergenicity (whether the product contains an allergic component or not) or carbohydrate content (important for diabetics). The content of protein, potassium and phosphates should be taken into account when developing diets for those suffering from kidney diseases. The presence of specific amino acids - for metabolic diseases, etc. In this way, food composition data and product clustering across different categories allow nutritionists to create interchangeable lists of meals with portion sizes, or lists of permitted and prohibited food products in terms of various diseases. The authors give the clustering of the database fragment of chemical composition of food products on the example of cottage cheese products and confectionary by one of the signs – the content of carbohydrates – in the R software environment by k-means. Food clusters based on carbohydrate content are very important in shaping the diet for diabetics. A visual gradation of products into clusters is demonstrated in the form of a dendrogram showing the degree of proximity of individual clusters. The resulting dendrogram contains 5 clusters. Cluster 4 includes the largest number of products (170 items) with an average carbohydrate content of 1.8 g with a variation range from 0 to 7.1 g. Food products and dishes that fall into this cluster are the least dangerous for people with diabetes. Cluster 5 includes only 8 products with a distribution of carbohydrates within the cluster from 62.60 to 80.40 g. This category of food should be excluded when preparing a diet for people with diabetes.
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Shcheglova, Tamara, Daria Maltseva, and Aryuna Kim. "Blockmodeling for analysis of social structures: theoretical and methodological foundations." Sociology: methodology, methods, mathematical modeling (Sociology: 4M) 27, no. 52 (March 19, 2022): 7–35. http://dx.doi.org/10.19181/4m.2021.52.1.
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The article discusses the features of blockmodeling as a class of methods for clustering network data in the analysis of social structures. Blockmodeling is considered as an approach to the analysis of social structure, which combines network components into groups (clusters) based on their equivalent structural positions. The basic concepts of blockmodeling are described – matrix, matrix image, cluster, clustering, position, block, blockmodel; an illustrating example is given. The concept of equivalence is presented, and two types of equivalence, structural and regular, are described. The main approaches of blockmodeling – indirect and direct – and related methods and algorithms are presented. For each approach, examples of the practical application in social sciences are provided. Other methods of blockmodeling (stochastic blockmodeling) and similar methods of subgroups detection in networks are mentioned. It is shown that the methodology of blockmodeling has heuristic potential for analyzing social structures and is promising for identifying cohesive groups and determining the role and structural positions of individuals within them. In conclusion, the open questions and limitations of this research methodology are discussed.
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BELINSKA, Lyudmyla, Maksym MAKSYMCHUK, Nataliia DANYLYKHA, and Andriy SHEVCHUK. "METHODIC OF FORMATION OF A DIDACTIC CONCEPTTERMINOLOGICAL SYSTEM “SOCIO-CULTURAL ACTIVITY”." Bulletin of the Lviv University. Series of Arts Studies 199, no. 23 (2022): 124–35. http://dx.doi.org/10.30970/vas.23.2022.12201.
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Based on the use of the activity approach in humanitarian Studies, the methodic foundations of the formation of the didactic concept-terminological syStem “socio-cultural activity” were formulated and subStantiated. The classification of the main concepts of the proposed terminological syStem was carried out, in particular, the basic and derived concepts were highlighted. Based on the terminological analysis of scientific sources, author’s definitions of main concepts such as: person, activity, behavior, society, space are proposed. Based on the principles of terminological work, basic concepts are expanded into derived concepts of the proposed didactic syStem, such as: human activity, social activity, cultural activity, sociocultural activity, sociocultural space, sociocultural sphere, sociocultural syStem, sociocultural complex, sociocultural cluSter, sociocultural induStry, etc. The author’s vision of Structuring spheres of socio-cultural activity based on the selection of their types and forms is proposed. The components of the socio-cultural space at different taxonomic levels from global to local, as well as at the level of cooperation of various taxonomic subjects are subStantiated. Basic and related spheres of socio-cultural activity are identified and Structured by species, and their subject components at the macro-, meso-, micro- and nano-levels of socio-cultural analysis are determined. We can State that the didactic concept-terminological syStem “socio-cultural activity” is based on the categories: person, activity, society, space and is described through the concretization of such general scientific concepts as: space – a syStem of relations and connections; sphere – a set (plurality) of constituent components diStinguished by various characteriStics; syStem – a combination of elements and their connections; a complex is a system with a high density of connections. In the future, the proposed syStem can be used for the preparation of educational and methodological publications, in particular, as the basic conception of the educational manual “Socio-cultural activity”, as well as for the formation of terminological and reference publications and the creation of electronic training courses on the MOODLE platform, in particular, the filling of their components such as “Keywords” and “Glossary”.
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Gamidullaeva, L. A., and E. P. Strakhov. "Evolution of the cluster development concept: from agglomeration theory to ecosystems." MIR (Modernization. Innovation. Research) 14, no. 1 (April 9, 2023): 106–25. http://dx.doi.org/10.18184/2079-4665.2023.14.1.106-125.
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Purpose: of the study is to substantiate the relationship between cluster theory and ecosystem concepts on the basis of systematization of scientific research directions on the problem of economic clustering.Methods: the study is based on the theories of regional, spatial economics, innovative development, network and ecosystem economics, presented in the works of the Russian and foreign scientists. To solve the tasks set, general scientific methods (analysis, synthesis, description, comparison, induction, historical, classification, etc.) and special methods (bibliometric and content analysis of literature, statistical) were used. In order to conduct bibliometric analysis, a standardized methodology for exploratory analytics was applied using the tools provided in modern computer data analysis packages.Results: on the basis of thematic selections from the Scopus database, the systematization of the most cited scientific publications on the problem of cluster development, published for the period 1997-2022 was carried out. A qualitative content analysis of the content of text arrays, followed by a meaningful interpretation of the identified patterns, made it possible to group the main directions of scientific thought in this area and identify promising areas for the further research. A conceptual scheme for the evolution of the formation and development of the cluster concept: the key theories and approaches that determined the trajectory of its development are identified.Conclusions and Relevance: the hypothesis that the ecosystem concept is an evolutionary development of cluster theory is confirmed. It is concluded that in the future the topic of innovative ecosystems is highly likely to move into the category of the basic ones devoted to cluster development. Despite the similarity (in the first approximation) of clusters and ecosystems, these approaches differ fundamentally in many criteria, primarily in terms of the proposed mechanisms for building interaction between participants, organization and regulation. In order to use the ecosystem approach in the practice of regional and industrial policy, its further conceptual, methodological and instrumental support is necessary.
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Oh, Insoo, Jiyoon Ban, and Hyeonsu Kim. "Concept Mapping Analyzing the Elementary School First Grader’s Task for Early Adjustment to School." Korean Journal of Teacher Education 39, no. 6 (November 30, 2023): 57–85. http://dx.doi.org/10.14333/kjte.2023.39.6.03.
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Purpose: The purpose of this study was to explore the task of school adjustment in the first grade of elementary school during early entrance and to reveal the importance and performance of such perception.
Methods: For this purpose, a semi-structured focus group interview was conducted with eleven first-grade homeroom teachers with significant field experience in elementary school. According to the process of the conceptual analysis, sixty-one conceptual statements were derived on school adjustment during early admission, and thirty-eight key statements were finalized after the agreement of the three researchers. The confirmed statements were conducted a classification method of similarity for twenty-six people. Following this, a multi-dimensional scaling method and hierarchical cluster analysis, and importance and performance evaluation were conducted in the stated orde.
Results: Finally, a two-dimensional concept map including six clusters (adaptation in the environment vs. internal control, adaptation in the group vs. individual adaptation) was derived. The final clusters are specifically about acclimatizing to the environment and routine of an elementary school that is different from an early childhood education institution (cluster 1), overcoming anxiety and fear in unfamiliar situations and maintaining psychological stability (cluster 2), and cultivating basic learning abilities and basic lifestyle habits (cluster 3), concentrating attention and controlling impulsiveness(cluster 4), getting along well with friends and being considerate (cluster 5), and living safely by following school rules (cluster 6).
Conclusion: This study is meaningful in that it empirically explored the core concept at a time when the importance of school adjustment during early admission of first graders in elementary school, who are experiencing ecological transfer from early childhood education to the elementary education, has garnered attention.
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Wu, Zhong, and Chuan Zhou. "Construction of an Intelligent Processing Platform for Equestrian Event Information Based on Data Fusion and Data Mining." Journal of Sensors 2021 (July 23, 2021): 1–9. http://dx.doi.org/10.1155/2021/1869281.
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In the past two years, equestrian sports have become more and more popular with the public. Due to the comprehensive development of equestrian preparations for the 2020 Olympic Games in China, the equestrian sports industry presents an unprecedented favorable development environment in China. This article is aimed at studying the construction of an equestrian event information intelligent processing platform based on data fusion and data mining. This article introduces the relevant theoretical knowledge of data mining and data fusion, including the description of the concept of data mining, the common analysis methods and algorithms of data mining, the basic concepts of data fusion, and the functional structure of data fusion. It discusses various algorithms in cluster analysis and focuses on the analysis of distance measurement and similarity coefficient in cluster analysis. In the experimental part, in order to intelligently process and acquire information, an information intelligent processing platform is constructed based on data fusion and data mining technology. The experimental results of this paper show that the precision rate, recall rate, and F -score of the platform under closed test are much higher than those under open test, and the precision rate is increased by about 7.26%.
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Rudskaia, E. N. "Environmental sustainability as the basis for urbanized ecosystems cluster projection." IOP Conference Series: Earth and Environmental Science 937, no. 4 (December 1, 2021): 042015. http://dx.doi.org/10.1088/1755-1315/937/4/042015.
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Abstract The objective of the study is to theoretically ground and develop methodological foundations for urban ecosystems cluster projection in the context of the ecological, systemic and cluster provisions of the sustainable development concept. The theoretical research was carried out using methods of analysis and synthesis of existing scientific development in the sphere of urban ecosystems territorial organization, including on the cluster approach basis. According to the study findings, the following results were obtained: - basic provisions of the cluster paradigm in the context of the network essence of the cluster are explored; - the essence of the cluster project is clarified from the position of network connections and agglomeration approach; - the ecosystem characteristics of the cluster for the purposes of urbanized ecosystems projection are explored; - elements of the ecosystems cluster projection concept, based on the cooperative mechanism, are proposed.
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Lee, Bo Mi, and Kyu ha Choi. "The study on the Concept Mapping of the Difficulties of Day care teacher in the COVID-19 Situation." Korean Association For Learner-Centered Curriculum And Instruction 24, no. 12 (June 30, 2024): 473–88. http://dx.doi.org/10.22251/jlcci.2024.24.12.473.
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Objectives The purpose of this study is to explore the contents of the difficulties experienced by day care Teachers under the COVID-19 situation using the concept mapping and to verify how much they sympathize with the contents of the difficulties. Methods This study was conducted according to the concept mapping proposed by Kane and Trochim(2007). After interviewing 12 target day care teachers who met the study, 62 statements were finally decided, and a multidimensional scale method was conducted based on the group similarity matrix. Furthermore, dimensions and clusters were named through hierarchical cluster analysis. Results Among the final statements, everyone agreed that they experienced difficulties in carrying out government guidelines that differed from the field in the COVID-19 situation. Furthermore, Two dimensions were named as the dimension of ‘childcare activity-class operation management’ on the X (horizontal) axis and the dimension of ‘Nursery internal factor-Nursery external factor’ on the Y (vertical) axis. Next, 3 clusters were named as ‘cluster 1. teacher role performance’, ‘cluster 2. government guidelines performance’, and ‘cluster 3. stress from a lot of work’. Conclusions Through the results of this study, the contents of the difficulties experienced by day care teachers under the special situation of the COVID-19 pandemic were identified. Therefore, it can be used to establish basic data that can provide help for practical intervention in the situation of infectious diseases that may occur later.
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Kotenko, Stanislav, Iryna Heiets, and Dina Yacout. "Organizational competitiveness: a systematic literature review." Marketing and Management of Innovations 5, no. 3 (2021): 175–87. http://dx.doi.org/10.21272/mmi.2021.3-15.
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One of the basic economic laws that reflect the patterns of economic phenomena is the law of competition. According to it, in a market economy, those business entities with certain competitive advantages operate and develop successfully. Within the competitive market, organizations are forced to increase their competitiveness, forming certain competitive advantages in the appropriate space-time conditions. Globalization and integration trends make more stringent and complex requirements for various enterprises, leading to increased competition in national and international markets. The multifactorial dependence of organizational competitiveness makes it possible to form new ways to increase the level of this indicator. Endogenous and exogenous factors, in turn, create functional links between different sectors of the economy. This paper presents a bibliometric analysis of the concept of "Organizational competitiveness" using numerous software tools to identify links between factors of organizational competitiveness, its source, and antecedents. The methods used in the study include initial keyword search, data analysis and refinement, and clustering. Harzing's Publish or Perish tool is used for initial investigation, BibExcel, VOSviewer, and MS Excel - for data analysis and refinement. The article uses data from the three most significant databases of scientific publications: Google Scholar, Web of Science, and Scopus. Searching and comparing information taken from several sources allows for a comprehensive analysis of the literature and understanding of the principles of bibliometric maps of publications. In the framework of this study, the authors formed and analyzed cluster groups of concepts, the principles of their grouping, developed scientific approaches to clustering key terms in several databases. The relevance of this study lies in its impact on the process of forming conceptual clusters. With the help of the proposed scientific approaches, it is possible to explain the dependencies in the cluster distribution of individual definitions, their relationship with each other, the degree of belonging to a particular factor of organizational competitiveness.
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BĚLOHLÁVEK, RADIM, BERNARD DE BAETS, JAN OUTRATA, and VILEM VYCHODIL. "CHARACTERIZING TREES IN CONCEPT LATTICES." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 16, supp01 (April 2008): 1–15. http://dx.doi.org/10.1142/s0218488508005212.
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Concept lattices are systems of conceptual clusters, called formal concepts, which are partially ordered by the subconcept/superconcept relationship. Concept lattices are basic structures used in formal concept analysis. In general, a concept lattice may contain overlapping clusters and need not be a tree. On the other hand, tree-like classification schemes are appealing and are produced by several clustering methods. In this paper, we present necessary and sufficient conditions on input data for the output concept lattice to form a tree after one removes its least element. We present these conditions for input data with yes/no attributes as well as for input data with fuzzy attributes. In addition, we show how Lindig's algorithm for computing concept lattices gets simplified when applied to input data for which the associated concept lattice is a tree after removing the least element. The paper also contains illustrative examples.
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Babkin, A. V., and L. V. Tashenova. "Structure and features of intellectual capital of digital cyber-social industrial ecosystems of cluster type." Economics and Management 29, no. 11 (December 2, 2023): 1316–24. http://dx.doi.org/10.35854/1998-1627-2023-11-1316-1324.
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Aim. To clarify the structure and identify the features of intellectual capital of cyber-social industrial ecosystems of cluster type.Objectives. To determine the structure of intellectual capital of cyber-social intelligent industrial ecosystems of cluster type; to reveal the features of intellectual capital of cyber-social intelligent industrial ecosystems of cluster type; to clarify the definition of the concept of intellectual capital of cyber-social intelligent industrial ecosystems of cluster type.Methods. The research is based on a combination of basic methods of general scientific and natural-scientific cognition, includes the study of scientific literature on the topic, the use of observation, analysis and synthesis methods. The article reflects the results of retrospective analysis of scientific literature. For a more visual representation of the results of the study the graphical method was used.Results. Ensuring sustainable economic growth and labor productivity growth is one of the most important tasks of the state and large economic entities, which today is implemented at the expense of and in the conditions of digitalization development. With this in mind, industrial enterprises are undergoing significant changes in the philosophy of their existence and functioning. In the article we consider cyber-social intelligent industrial ecosystems of cluster type as more advanced forms of organization of interaction between economic entities and their intellectual capital. In the process of the research the structure of intellectual capital of cyber-social intelligent industrial ecosystems of cluster type, consisting of three levels, is defined. The peculiarities of the third level of the structure of intellectual capital of cyber-social intellectual industrial ecosystems of cluster type, which distinguish it from the intellectual capital of industrial clusters, are revealed. Digital structural captal as the most significant part is highlighted. In connection with the mentioned cybersociality of the cluster-type ecosystems under consideration, as well as in view of the increasing influence of the smart (intellectual) environment on them, the intellectual relational capital is divided into intra-ecosystem and extra-ecosystem capital. The definition of the concept of intellectual capital of cyber-social intelligent industrial ecosystem of cluster type, which reflects the importance of the digital component of the capital and the continuous nature of transformations arising from the evolving coherent multi-actor network of subjects, is given with clarifications.Conclusions. The research allowed us to propose a refined understanding of intellectual capital of cyber-social intellectual industrial ecosystem of cluster type and to form its structure taking into account the differences between the intellectual capital of cyber-social intellectual industrial ecosystems of cluster type and the intellectual capital of industrial clusters.
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Brusnikin, K. N., E. I. Piskun, and N. S. Bondarev. "Scenarios for the development of regional production and economic systems based on industrial parks." E3S Web of Conferences 458 (2023): 05020. http://dx.doi.org/10.1051/e3sconf/202345805020.
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The article presents the results of research on the formation of strategic alternatives for the development of regional production and economic systems in industrial parks within the framework of the internal rating management mechanism. A generalized scheme of cognitive modeling is proposed, which is based on the synthesis of methods of cognitive analysis, principal components, expert analysis, econometric modeling, which makes it possible to increase the validity of the concepts of the cognitive model and scenarios for the development of regional production and economic systems in the system of industrial parks. The presented cognitive model makes it possible to develop scenarios for the implementation of strategic alternatives for the development of regional production and economic systems, evaluate their effectiveness, and choose the most appropriate development strategy for the current situation, ensuring their sustainable functioning in the system of industrial parks. Basic and alternative scenarios have been developed using the example of a regional production and economic system representative of a cluster of companies with crisis development, making it possible to identify the components of the development strategy that require adaptation to ensure the transition of the regional production and economic system representative to a higher cluster. Research data can be used by interested stakeholders: industrial parks, regional production and economic systems, regional authorities.
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Kovalenko, Yuliia, Valentyna Martynenko, Iryna Chunytska, Liudmyla Didenko, Ivan Yatsenko, and Tetiana Shulha. "THE NEWEST SCIENTIFIC AND METHODICAL APPROACH TO ASSESSING THE OPENNESS OF INVESTMENT FINANCIAL SERVICES MARKETS." Financial and credit activity problems of theory and practice 6, no. 47 (December 30, 2022): 230–41. http://dx.doi.org/10.55643/fcaptp.6.47.2022.3899.
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The scientific article is devoted to the development of a scientific and methodological approach to assessing the level of openness of the investment financial services market. Regarding the basic concept of the scientific article – “openness” - it is proposed to interpret it according to the flow approach, according to which three types of markets should be distinguished - markets with a net outflow of investment resources, markets with a net inflow of investment resources and markets with a balanced movement of investment resources.It is proposed to evaluate the openness of investment financial services markets by the k-means method, that is, by the cluster analysis approach, the purpose of which is to divide m observations into k clusters, while each observation refers to the cluster closest to its center (centroid). The advantages of the k-means cluster analysis method are as follows: firstly, the possibility of using this method with relatively small amounts of data, since it is not necessary to meet the requirements for the normal distribution of random variables, which are mandatory for classical methods of statistical analysis; secondly, to divide a set containing n objects into k clusters, the number of clusters must be specified in advance.Approbation of the methodological approach was carried out on the example of various national models of investment financial services markets, namely: on the example of the countries of the European Union and Ukraine.In general, the markets of investment financial services of post-socialist EU countries (Bulgaria, Estonia, Latvia, Lithuania, Slovakia, Slovenia, Poland, Romania, Hungary, Czech Republic) and Ukraine belong to the group of countries with a low level of market openness, compared to other markets of EU countries.The article develops a scientific-methodical approach to evaluating the openness of investment financial services markets, which, unlike other approaches, involves: distinguishing between markets with a net inflow of investment resources, markets with a net outflow of investment resources, and markets with a balanced movement of investment resources; distribution of markets using the iterative method of "k-means" cluster analysis into three clusters: 1) markets with a high level of openness; 2) markets with an average level of openness; 3) markets with a low level of openness; determination of the average volumes of portfolio investments in securities issued by non-residents, as well as liabilities for securities in which portfolio investments were made by non-residents, for each cluster.
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Arif, Mustafa, and Prasetyo. "PERENCANAAN MUSEUM KAPAL MOTOR DI TENGGARONG DENGAN PENDEKATAN ARSITEKTUR TROPIS." Jurnal Totem : Architecture, Environment, Region and Local Wisdom 1, no. 2 (December 13, 2020): 111. http://dx.doi.org/10.31293/ttm.v1i2.4860.
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Tenggarong City has Mahakam River that connects between West Kutai Regency to Samarinda. The river length reaches 920 kilometers. This will be planning the Motor ship Museum, at the stage of this research in the form of primary and secondary data collection methods, analysis method consists of the analysis of the needs of space, space, space relations, site, building basic coefficients and Green basic coefficients, space and musical arrangement space, mass and mass material, shape, structure, utilities. Concept of building with the emphasis of tropical architecture in the application of building lighting Museum.Total amount of space 6,341.7 m2 divided by the area of building basic coefficient 6,341.7 area of the green base coefficient 4,227.8, for analysis site on the research is reviewing such as drainage, wind direction, Sun. Utility analysis such as clean water, dirty, rainy and piping on the Museum area. Type of vessel in the show, namely, motor ship freight, mines, vehicle transportation with the concept of cluster in the form of mass arrangement on the site, the transformation of the ship resembles the Mahakam river water bus transport ship, and the history of the ship. Keywords: Museum, Motor ship, Tenggarong City
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Kravchenko, Sergey, and Mariia Pankova. "Multivariate statistical analysis in determining the enterprises’ behavior with resources." E3S Web of Conferences 307 (2021): 05003. http://dx.doi.org/10.1051/e3sconf/202130705003.
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The threefold concept of sustainable development is largely based on the optimal use of limited resources. In this case, the development of an effective toolkit for the conscious influence of business entities to the effectiveness of using its resource base deserves special attention. The study attempts to substantiate the existence of several basic (characteristic) enterprises types in terms of resources usage results and to identify the key parameters that form a certain style of behavior. This approach includes the methods of multivariate statistical analysis (cluster and discriminant). The results obtained make it possible to assert the existence of four basic enterprises types with different styles of resource management, which affects the level of their resource security. Special attention was paid to identifying indicators that have the greatest separation power. In addition, the classification functions were built, and their quality was confirmed, which makes it possible to model the situation of targeted impact on individual indicators (forecasting the future situation for correction). The research results should contribute to an increase in the degree of the scientific validity recommendations for business entities on the rational use of their resource base (effective regulating the level of resource security).
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Meteshkin, Kostiantyn Oleksandrovych, Olga Ihorivna Morozova, and Olena Yevhenivna Pomortseva. "The results of department educational processes reengineering in dual and digital education concepts." RADIOELECTRONIC AND COMPUTER SYSTEMS, no. 1 (February 27, 2021): 92–100. http://dx.doi.org/10.32620/reks.2021.1.08.
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The subject matter of the article is the results of department educational processes reengineering, which was conducted at the Department of Land Administration and Geographic Information Systems of O. M. Beketov National University of Urban Economy. The current article introduces the scientific community with the results of reengineering at the department, which made it possible to implement certain conceptual and fundamental provisions of the dual, digital, and cluster approaches in the development of education. The problem, which resolves the contradiction between the standardization of learning processes by traditional methods and innovative learning processes based on the use of intelligent information technologies, is devised. Based on the analysis of the tendencies in the development of pedagogy methodology, it was concluded that today the methodological paradigms in the science of teaching and the formation of a new methodological paradigm of educology were changed. Cybernetic pedagogy, which combines methods of traditional pedagogy and cybernetics, has had a significant impact on the formation of educalogy. This combination of methods created a support system for the educational processes of the department. The basic theoretical decisions of the department reengineering and results of experimental research conducted based on a support system of educational processes of the department are shown in the article. The results of two full-scale experiments are presented. The purpose of the first experiment was to evaluate the possibility of independent study of science-intensive educational material in the discipline "Mathematical processing of geodetic measurements," and for the second – to evaluate the possibility of creating an intellectual property exchange of scientific-pedagogical and pedagogical workers. Besides, the results of the experimental studies allowed to creation of innovative authoring training technology "Partnership," which provides for participating students in the formation of educational material (tutorials). From the above, it is possible to conclude about the effectiveness of reengineering procedures in the concept of dual and digital education.
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Rostoka, Marina. "THEORETICAL AND METHODOLOGICAL FOUNDATIONS OF THE PSYCHOLOGY OF LOYALTY OF SCIENTIFIC AND TEACHING OF EMPLOYEES: INFLUENCE OF DIGITAL TRANSFORMATION OF EDUCATION." Scientific Bulletin of Uzhhorod University. Series: «Pedagogy. Social Work», no. 1(54) (May 13, 2024): 184–88. http://dx.doi.org/10.24144/2524-0609.2024.54.184-188.
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The article actualizes the need to rethink the existing information and educational environments, which under the influence of digital transformation receive a certain development in the postmodern transdisciplinary space of today. Social and turbulent circumstances caused by the extremely dangerous state of existence of educational institutions of Ukraine in the conditions of martial law provoke the problem of balancing the socio-psychological organization of the loyalty of scientific and pedagogical workers. The article's purpose: to provide certain analytical reflections on the determination of the theoretical and methodological foundations of the psychology of loyalty of scientific and pedagogical workers in the context of the influence of global digital transformation and force majeure circumstances. Methods applied: cluster analysis, content analysis, and other empirical methods, including structural-semantic modeling, to define and justify the basic concepts of the research, which makes it possible to obtain intermediate results of the analytical search: generalization and systematization of the conceptual and categorical apparatus and determination of more relevant definitions. Concepts of «loyalty», «loyalty of scientific and pedagogical workers», and «social-psychological organization of loyalty» are disclosed. The study perspective outlines the informational and analytical support of the socio-psychological organization of scientific and pedagogical workers' loyalty in the context of digital transformation of education influence and the conditions of martial law. The study perspectives outline the informational and analytical support of the socio-psychological organization of scientific and pedagogical workers' loyalty in the context of digital transformation of education influence and in the conditions of martial law.
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Novak, Tamara, and Viktoriia Мelnyk. "Cluster formation as a sustainable rural development tool in Ukraine." LAW. HUMAN. ENVIRONMENT 14, no. 4 (October 15, 2023): 50–65. http://dx.doi.org/10.31548/law/4.2023.50.
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The difficult situation in Ukraine in general and in the agricultural sector in particular, caused by the war: destruction of settlements with infrastructure, property damage to business entities, impossibility of conducting economic activity in the temporarily occupied territories and territories where active hostilities are taking place, relocation of business, massive displacement of the population to more peaceful regions – necessitates a rethinking of pre-war approaches to the development of rural areas. This study focuses on one of the most promising tools – clusters. Since proper legal regulation is crucial for the effective development of clustering processes, the purpose of the study is to analyse the state of legal support for clustering in rural areas, considering the requirements of smart specialisation, to identify the main problems and to develop proposals for their solution. This goal was achieved through the use of several methods of scientific knowledge: dialectical (philosophical), analysis, formal legal, hermeneutical, abstract logical, and historical and legal. As a result, the author formulates a definition of the concept of “cluster”, which enshrines its features (voluntary association of entities with the status of entrepreneurs, sectoral or intersectoral nature). The purpose of the cluster activity is substantiated: creation of products and/or provision of services, promotion of sustainable development of rural areas. It is established that clusters combining agricultural production with other, in particular non-agricultural, activities are promising for rural areas. The necessity to consider the provisions of smart specialisation of regions in the formation of clusters is proved. Proposals have been developed regarding the formation of the legal framework for the formation and functioning of clusters by supplementing the normative acts of economic legislation with provisions on the form of organisation of cluster formations; defining clustering as a promising task in the national and agrariansectoral strategic planning documents; basic directions of state support for the creation and functioning of clusters in the field of agriculture/in rural areas. The results obtained are of theoretical importance for the development of the science of agrarian and commercial law. The conclusions of the work are also of practical value since they can be considered in the content of the improved legislation on clusters and smart specialisation of regions
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Cheng, Junwen, Qi Jiang, Gong Cheng, Ruibang Gong, and Xuan Du. "Distribution Network Grid Planning and Automatic Routing Based on Cluster Analysis Algorithm." Security and Communication Networks 2022 (August 21, 2022): 1–9. http://dx.doi.org/10.1155/2022/7262323.
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In order to improve the efficiency of power grid enterprises under the background of new power reform, the author proposes a set of planning ideas and methods for medium-voltage distribution networks based on the optimal division of power supply grids. First, the layout of the main channel in the planning area should be determined to ensure the reservation of land resources. Then, on the basis of clarifying the purpose and principle of grid division, based on the selection of the nearest load backup substation and the load clustering method, the optimal division of the power supply grid should be realized on a global scale. Finally, in each power supply grid, the wiring mode and the primary and secondary construction and renovation standards are selected based on the classification of the supply area, and the main line wiring planning is carried out. For the grid frame in the transition year, in order to avoid repeated reconstruction and facilitate construction, the principle of piece-by-piece construction and reconstruction is proposed. The results show that by the target year, each power supply grid in the planning area will use two substations as power points, the power supply range of the main lines of each grid is limited to this grid, the lines between grids will not be connected, and the line connection rate will reach 100% and all meet the N-1 check. The proposed method follows the basic planning concept of “technically feasible and economically optimal” on the basis of overall planning and transforms the complex global planning of distribution network into local planning within each optimized grid, and it enables different planners to obtain a basically consistent grid optimization scheme, strengthens the scientificity and certainty of planning, and provides a reference for the revision and refinement of relevant guidelines, which has been practically applied.
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Mashninova, Yu V. "Сluster-oriented interaction of organizations providing paid medical services." MIR (Modernization. Innovation. Research) 13, no. 2 (June 25, 2022): 252–69. http://dx.doi.org/10.18184/2079-4665.2022.13.2.252-269.
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Purpose: preparation of evidence-based proposals for the formation of cluster-oriented interaction of medical organizations providing paid services.Methods: the study is based on the use of a number of universal and special research methods. In particular, the cluster analysis method was used in the search for the most effectively complementary medical organizations of various forms of ownership. Statistical analysis was applied to study their activities in the provision of paid services.Results: the article provides a brief theoretical analysis of the essence of the concept and the basic principles of «cluster-oriented interaction» in relation to Russian organizations of various forms of ownership in the segment of dentistry with a rationale for the relevance of the application in the current socio-economic situation. A model of cluster-oriented interaction has been built and a method for searching for organizations that most effectively complement each other based on multivariate statistical analysis (cluster analysis) has been proposed, which makes it possible to increase the efficiency of their functioning and the quality of medical services provided.Conclusions and Relevance: the developed approaches to the implementation of cluster-oriented interaction of organizations providing paid medical services to the population of childhood allow taking into account the specifics and features of the functioning of healthcare organizations in a critically complex and unstable socio-economic situation in the country. The principles and possibilities of mechanisms for coordinating the joint work of medical healthcare organizations in the direction of obtaining a synergistic effect due to the association of clinics formed on mutually beneficial terms, which increases their competitiveness in the current socio-economic situation, are formulated. The most significant component in the article is the development of methodological approaches to the organization of the joint use of material and technical resources.
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Nizamutdinov, Marsel M., and Аlsu R. Atnabaeva. "Tool of forecasting the natural and migration movement of the population in the region based on simulation methods." Tyumen State University Herald. Social, Economic, and Law Research 5, no. 4 (2019): 155–68. http://dx.doi.org/10.21684/2411-7897-2019-5-4-155-168.
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The demographic policy of the Russian Federation is aimed at increasing the population in the country. In this connection, management decisions made at the regional level focus at attracting skilled migrants, increasing the birth rate, and reducing mortality. On the one hand, such politics affects the size of the population; on the other hand, the reaction of the population can adjust the policy. In turn, state programs are intended for a long period of time, thus, there is a need to assess the effectiveness of the taken decisions. Therefore, the authors have proposed a concept of an agent-based model of demographic processes at the regional level. In addition, they have developed the model itself, which aims to increase the accuracy of forecasting the population in the face of changing socio-economic indicators. Each of the agents (represented by “Person” and “Region”) have their own set of characteristics. To describe the logic of the agent behavior, the authors have used statistical (regression and cluster analysis) and probability (Bernoulli, Gamma, Betta, exponential distribution) methods. The life cycle of the agent “Person” is presented in the developed state diagram. The testing of the agent-based model was performed in solving the problems of forecasting the population in the Republic of Bashkortostan on the basis of the prognosis data from the RF Ministry of Economic Development. The article also presents experimental research on two scenarios of economic development (basic and conservative). An assessment of changes in fertility, mortality, and migration based on the use of cluster and regression analysis is presented.
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Vysochan, O., V. Hyk, O. Vysochan, and A. Yasinska. "METHODOLOGICAL BASIS OF FORMATION OF STRATEGIC MANAGEMENT ACCOUNTING IN IT-CLUSTER." Financial and credit activity problems of theory and practice 4, no. 39 (September 10, 2021): 149–55. http://dx.doi.org/10.18371/fcaptp.v4i39.241303.
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Abstract. The necessity of development of the conceptual basis of formation of the accounting information in strategic management of IT-cluster is substantiated. On the basis of the system approach the concept of the account is formed: the place of the account in information system of strategic management is defined; specified and structured basic elements (purpose, tasks, functions, subjects, methods, tools), which form the methodological basis of modern management accounting theory. The study of the structure of strategic management was conducted on the example of the Lviv cluster of information technology and business services (Lviv IT-cluster), which operates as an association of IT companies, Lviv City Council and educational institutions. It is established that the object of management is the joint activities of independent interacting economic entities, each of which in an integrated structure performs its functions. It is established that strategic management accounting provides coordination of interaction of its participants and serves as an information base for development of long-term strategy of development in IT-cluster. It is determined that the introduction of strategic management accounting in the cluster will solve the problem of forecasting and planning the activities of the association as a whole and its individual members. The list of methods and tools of strategic management accounting in the cluster grouped by the authors allows to consider this accounting system not only as an information source of decision-making, but as a tool resource for strategy support. It is determined that the key tools of management accounting in the IT-cluster are SWOT-analysis, a system of balanced scores, benchmarking and budgeting. Keywords: management accounting, strategy, integrated structures, cluster. JEL Classification М41, L24, O32 Formulas: 0; fig.: 2; tabl.: 1; bibl.: 10.
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Li, Shanshan, Feiyu Chen, and Xiao Gu. "Effects of Group Emotion and Moral Belief on Pro-Environmental Behavior: The Mediating Role of Psychological Clustering." International Journal of Environmental Research and Public Health 19, no. 18 (September 6, 2022): 11190. http://dx.doi.org/10.3390/ijerph191811190.
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An important topic in ecological environmental protection concerns the determination of a method to guide individual pro-environmental behavior from the dual perspectives of immediate intervention and long-term shaping. This research analyzed the influence of group emotions and moral beliefs on the pro-environmental behavior of residents and introduces the concept of the “psychological cluster” to explore the mediating effect of the “psychological cluster” on group emotions, moral beliefs, the pro-environmental behavior of residents, and its various dimensions. The results of a questionnaire survey, factor analysis, regression analysis, and other methods showed that group emotions and moral beliefs can significantly the predict pro-environmental behaviors of residents, and moral beliefs have a significant impact on basic pro-environmental behaviors. Each dimension of the psychological cluster has a significant effect on pro-environmental behavior. Among them, the psychological cluster has the most significant effect on the citizen-type pro-environmental behavior. That is to say, when individuals are passionate about environmental causes, and feel angry and guilty about damaging the environment, they will be encouraged to actively participate in environmental protection activities in public places and give advice on environmental protection. Group emotion and moral belief can drive the occurrence of a psychological cluster, which leads to the generation of group behavior. In other words, psychological clustering acts as a “middleman” between group emotion, moral belief, and pro-environmental behavior of residents. However, its influence is not completely mediated via the psychological cluster. In summary, the psychological cluster plays a partial mediating role in the relationship between group emotion, moral belief, and the pro-environmental behavior of residents. Finally, corresponding policy suggestions are put forward based on this research.
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Tomasdottir, Margret Olafia, Linn Getz, Johann A. Sigurdsson, Halfdan Petursson, Anna Luise Kirkengen, Steinar Krokstad, Bruce McEwan, and Irene Hetlevik. "Co- and multimorbidity patterns in an unselected Norwegian population: cross-sectional analysis based on the HUNT Study and theoretical reflections concerning basic medical models." European Journal for Person Centered Healthcare 2, no. 3 (July 15, 2014): 335. http://dx.doi.org/10.5750/ejpch.v2i3.734.
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Rationale and aims: Accumulating evidence shows that diseases tend to cluster in diseased individuals, so-called multimorbidity. The aim of this study was to analyze multimorbidity patterns, empirically and theoretically, to better understand the phenomenon. Population and methods: The Norwegian population-based Nord-Trøndelag Health Study HUNT 3 (2006-8), with 47,959 individuals aged 20-79 years. A total of 21 relevant, longstanding diseases/malfunctions were eligible for counting in each participant. Multimorbidity was defined as two or more chronic conditions.Results: Multimorbidity was found in 18% of individuals aged 20 years. The prevalence increased with age in both sexes. The overall age-standardized prevalence was 42% (39% for men, 46% for women). ‘Musculoskeletal disorders’ was the disease-group most frequently associated with multimorbidity. Three conditions, strategically selected to represent different diagnostic domains according to biomedical tradition; gastro-esophageal reflux, thyroid disease and dental problems, were all associated with both mental and somatic comorbid conditions. Conclusions and implications: Multimorbidity appears to be prevalent in both genders and across age-groups, even in the affluent and relatively equitable Norwegian society. The disease clusters typically transcend biomedicine’s traditional demarcations between mental and somatic diseases and between diagnostic categories within each of these domains. A new theoretical approach to disease development and recovery is warranted, in order to adequately tackle ‘the challenge of multimorbidity’, both empirically and clinically. We think the concept allostatic load can be systematically developed to “capture” the interrelatedness of biography and biology and to address the fundamental significance of “that, which gains” versus “that, which drains” any given human being.
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Gullahorn, Britta, Irene Kuo, Artius M. Robinson, Johnny Bailey, Jennifer Loken, and Tamara Taggart. "Identifying facilitators and barriers to the uptake of medication for opioid use disorder in Washington, DC: A community-engaged concept mapping approach." PLOS ONE 19, no. 7 (July 19, 2024): e0306931. http://dx.doi.org/10.1371/journal.pone.0306931.
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Introduction Opioid overdose is a major public health challenge. We aimed to understand facilitators and barriers to engagement in medication for opioid use disorder (MOUD) among persons with OUD in Washington, DC. Methods We used a cross-sectional mixed-methods concept mapping approach to explore MOUD engagement between 2021–2022. Community members at-large generated 70 unique statements in response to the focus prompt: “What makes medication for opioid use disorder like buprenorphine (also known as Suboxone or Subutex) difficult to start or keep using?” Persons with OUD (n = 23) and service providers (n = 34) sorted and rated these statements by theme and importance. Data were analyzed with multidimensional scaling and hierarchical cluster analysis, producing thematic cluster maps. Results were validated by our community advisory board. Results Seven themes emerged in response to the focus prompt: availability and accessibility; hopelessness and fear; unmet basic needs; characteristics of treatment programs; understanding and awareness of treatment; personal motivations, attitudes, and beliefs; and easier to use drugs. “Availability and accessibility,” “hopelessness and fear,” and “basic needs not being met” were the top three identified barriers to MOUD among consumers and providers; however, the order of these priorities differed between consumers and providers. There was a notable lack of communication and programming to address misconceptions about MOUD’s efficacy, side effects, and cost. Stigma underscored many of the statements, showcasing its continued presence in clinical and social spaces. Conclusions This study distinguishes itself from other research on MOUD delivery and barriers by centering on community members and their lived experiences. Findings emphasize the need to expand access to treatment, dismantle stigma associated with substance use and MOUD, and address underlying circumstances that contribute to the profound sense of hopelessness and fear among persons with OUD–all of which will require collective action from consumers, providers, and the public.
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Oborin, Matvey. "Prospects for the Development of Network Interaction in the Transport and Logistics Complex of the Region." Vestnik Volgogradskogo gosudarstvennogo universiteta. Ekonomika, no. 3 (December 2020): 53–64. http://dx.doi.org/10.15688/ek.jvolsu.2020.3.5.
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The article deals with the current issue of development of the transport and logistics system and transport and logical clusters on the territory of the Russian Federation on the basis of network interaction. The subject of the study is the transport and logistics clusters of Russian regions, their importance in the development of the transport and logistics complex and economy of Russian regions. Scientific and theoretical concepts on the research problem and their hierarchy in the transport and logistics complex of the region are considered. The economic essence of the transport and logistics cluster and its structure elements are described, and the economic characteristics of various groups of enterprises depending on the degree of participation in the main business process are presented. A comparative assessment of the state and functioning of transport and logistics clusters on the territory of Russia with the European network of transport and logistics clusters formed during the strengthening of integration of European economies into a single space is carried out and proposals for their development based on network interaction are made. The main research methods are formal logical, system and situational approaches, and statistical analysis. The need to support the formation of transport and logistics clusters through state programs and strategies, forms of public-private partnership in economy, activation of integration ties and integrated development based on basic enterprises is identified. The indicators of functioning of transport and logical clusters on the example of Belgorod region, Primorye Krai, including the level of development of the regional infrastructure, the degree of involvement of the economic power of the region, regions position on major domestic and global transport corridors are analyzed and studied. Based on the results of the work, proposals for the development of network interaction in the transport and logistics complex of the regions were formulated, prospects and directions for improving the economic efficiency of transport enterprises were determined, and the percentage of losses in the industry was reduced. The application of the results is useful in the development of regional socio-economic and transport development programs.
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Chu, Yichen, and Xiaojian Yin. "Data Analysis of College Students’ Mental Health Based on Clustering Analysis Algorithm." Complexity 2021 (April 12, 2021): 1–10. http://dx.doi.org/10.1155/2021/9996146.
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Mental health is an important basic condition for college students to become adults. Educators gradually attach importance to strengthening the mental health education of college students. This paper makes a detailed analysis and research on college students’ mental health, expounds the development and application of clustering analysis algorithm, applies the distance formula and clustering criterion function commonly used in clustering analysis, and makes a specific description of some classic algorithms of clustering analysis. Based on expounding the advantages and disadvantages of fast-clustering analysis algorithm and hierarchical clustering analysis algorithm, this paper introduces the concept of the two-step clustering algorithm, discusses the algorithm flow of clustering model in detail, and gives the algorithm flow chart. The main work of this paper is to analyze the clustering algorithm of students’ mental health database formed by mental health assessment tool test, establish a data mining model, mine the database, analyze the state characteristics of different college students’ mental health, and provide corresponding solutions. In order to meet the needs of the psychological management system based on the clustering analysis method, the clustering analysis algorithm is used to cluster the data. Based on the original database, this paper establishes the methods of selecting, cleaning, and transforming the data of students’ psychological archives. Finally, it expounds on the application of data mining in students’ psychological management system and summarizes and prospects the implementation of the system.
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Piekut, Marlena, and Kamil Piekut. "Changes in Patterns of Consumer Spending in European Households." Sustainability 14, no. 19 (October 7, 2022): 12794. http://dx.doi.org/10.3390/su141912794.
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Consumption is an important concept in economics and many social sciences. The aim of the study is to compare consumption in European households in the years 2004–2020 and to identify groups of countries with similar consumption–expenditure structures. Statistical methods were used: trend analysis, cluster analysis. Between 2004 and 2019, the consumption expenditures of European households gradually increased. In all countries, spending on categories such as food, housing maintenance, and food and accommodation rose. Most countries also saw an increase in spending on other categories of consumer goods and services, although there were also countries where some types of spending decreased during the period under study. Our research grouped countries according to their consumption structure in 2004, 2019 and 2020. In Europe, several groups of countries can be distinguished according to their consumption structure. Similarities between EU countries’ consumption change through time. Ward’s clustering and k-means methods allowed to reduce a large number of countries to a few basic groups, which can be perceived as the subject and direction of further analysis.
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Youn, Hyejin, Logan Sutton, Eric Smith, Cristopher Moore, Jon F. Wilkins, Ian Maddieson, William Croft, and Tanmoy Bhattacharya. "On the universal structure of human lexical semantics." Proceedings of the National Academy of Sciences 113, no. 7 (February 1, 2016): 1766–71. http://dx.doi.org/10.1073/pnas.1520752113.
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How universal is human conceptual structure? The way concepts are organized in the human brain may reflect distinct features of cultural, historical, and environmental background in addition to properties universal to human cognition. Semantics, or meaning expressed through language, provides indirect access to the underlying conceptual structure, but meaning is notoriously difficult to measure, let alone parameterize. Here, we provide an empirical measure of semantic proximity between concepts using cross-linguistic dictionaries to translate words to and from languages carefully selected to be representative of worldwide diversity. These translations reveal cases where a particular language uses a single “polysemous” word to express multiple concepts that another language represents using distinct words. We use the frequency of such polysemies linking two concepts as a measure of their semantic proximity and represent the pattern of these linkages by a weighted network. This network is highly structured: Certain concepts are far more prone to polysemy than others, and naturally interpretable clusters of closely related concepts emerge. Statistical analysis of the polysemies observed in a subset of the basic vocabulary shows that these structural properties are consistent across different language groups, and largely independent of geography, environment, and the presence or absence of a literary tradition. The methods developed here can be applied to any semantic domain to reveal the extent to which its conceptual structure is, similarly, a universal attribute of human cognition and language use.
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Ionin, Yevhen, and Anastasia Kalarash. "Analysis of the impact of accounts payable on ensuring business continuity." Economic Analysis, no. 32(3) (2022): 273–81. http://dx.doi.org/10.35774/econa2022.03.273.
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Introduction. In the conditions of full-scale russian aggression, the threat of a financial crisis in Ukraine is growing, the risk of the functioning of business entities is increasing, therefore it is extremely important to strengthen the economic potential of our state. Due to the martial law and the introduction of a curfew, the logistics between counterparties has significantly worsened, which reduces the turnover of sales and purchases and negatively affects all indicators of the enterprise. The uncontrolled growth of accounts payable for goods, works, and services in the conditions of the existing problem of non-payments may become even larger. Therefore, one of the important tasks in the conditions of their occurrence is the systematic analysis of the company's payables, as a factor of ensuring business continuity, a basic assumption in the concept of accounting. Purpose. The purpose of the work is to study the influence of accounts payable on ensuring the continuity of business activities on the basis of a system of analytical indicators, cluster analysis, which is extremely important in the conditions of martial law. Method (methodology). To achieve the goal, general scientific, economic and mathematical methods and approaches, analytical procedures and tools were used, in particular, horizontal and vertical analysis, cluster analysis, formalization and generalization of the influence of accounts payable on ensuring continuous activity in the conditions of martial law. The results. The impact of commercial payables on ensuring business continuity under martial law conditions has been studied. The introduction into the theory and practice of accounting analysis as a component of economic analysis of economic activity (business) based on the additional involvement of accounting information, which is not directly reflected in financial statements, is argued. It is proposed to use a system of indicators, procedures for analytical justification of management decisions, focused on the implementation of business continuity.
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Tleuberdinova, A. T., K. V. Kulik, and V. B. Kulik. "INFRASTRUCTURAL SECURITY AND DEVELOPMENT OF TOURISM IN RURAL AREAS OF KAZAKHSTAN: CHALLENGES AND PROSPECTS." Central Asian Economic Review, no. 1 (February 15, 2022): 17–29. http://dx.doi.org/10.52821/2789-4401-2022-1-17-29.
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Purpose of the research – comparative analysis of the level of infrastructure provision in rural areas of Kazakhstan, which allows to determine the strategic directions of its development.Methodology – a systematic approach to studying the problems of infrastructure security; methods of statistical and economic analysis. The research is based on the fundamental provisions of the concepts and hypotheses presented in classical and modern studies of foreign and domestic scientists, based on the system-functional approach, as well as software developments of the Republic of Kazakhstan in the field of regional development. This study is based on the use of methods of systemic, comparative and cluster analysis, methods of classification and grouping, multivariate statistical analysis, which made it possible to carry out a comparative analysis of the provision of rural areas of Kazakhstan with infrastructure, to group regions, which made it possible to determine the strategic directions for the development of infrastructure in rural areas of the country. To process the initial statistical information, the "Classification Analysis" package of the "IBM SPSS Statistics" application was used.Originality / value of the research – lies in the fact that the comparative analysis of the level of provision of rural areas in the regions of Kazakhstan with basic infrastructure makes it possible to differentiate the regions of the country by the level of infrastructure provision and determine the priority directions of its development, which ultimately will provide them with tourist attractiveness. The findings of the study may be of interest in the development and implementation of programs for the socio-economic development of regions, the development of the tourism industry, as well as for the implementation of scientific research on the integrated development of rural settlements by government bodies.Findings – A comparative analysis of the infrastructural provision of rural areas of Kazakhstan made it possible to identify existing problems in ensuring transport accessibility of destinations, a low level of provision of utilities and social infrastructure, which determines the unattractiveness of rural areas as tourist destinations and low demand from potential tourists.
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Trofymenko, Olena O. "Conceptual Foundations of Innovative Development of National Economy in the Context of Technological Ways and Power Innovations." Scientific Bulletin of Mukachevo State University Series “Economics” 8, no. 1 (March 24, 2021): 105–19. http://dx.doi.org/10.52566/msu-econ.8(1).2021.105-119.
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The relevance of the study is conditioned by changing approaches to the development of the national economy based on energy innovation in the context of aspects of greening the economy, energy independence, energy conservation and synergy of innovation. The purpose of this study is to develop a conceptual model of innovative development of the national economy in the energy sector in the context of established trends of increasing energy consumption. The study was conducted in two stages based on a systematic approach involving general scientific theoretical methods, namely analysis, synthesis, systematisation, generalisation, and structural method. The paper substantiates the need to study innovative national economic development within the energy sector based on the works of foreign scientists. The study considered the main approaches to the definition of the term “innovation” in the context of economic space, including process-oriented and functionally effective ones. The paper established the relationship between the stages of the life cycle of innovation and the development level of the national economy. The study also provides the characteristic of change of technological ways of social and economic relations within the limits of historical retrospect. The structural and functional features of the category “development” are determined in order to study the conceptual foundations of innovative development of the national economy. The study highlights the main models of innovative development in world practice. The author identified the specific features the basic concepts of innovative development of the national economy in the energy sector, including “cluster concept”, “alternative energy”, “Smart Grid”, “concept of sustainable development”, based on which the author created the conceptual model for the innovative economic development in the energy sector. Prospects for further research involve the study of the practical application of the model created for the innovative economic development in the energy sector
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Alpert, S. I. "The basic arithmetic operations on fuzzy numbers and new approaches to the theory of fuzzy numbers under the classification of space images." Mathematical machines and systems 3 (2020): 49–59. http://dx.doi.org/10.34121/1028-9763-2020-3-49-59.
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Classification in remote sensing is a very difficult procedure, because it involves a lot of steps and data preprocessing. Fuzzy Set Theory plays a very important role in classification problems, because the fuzzy approach can capture the structure of the image. Most concepts are fuzzy in nature. Fuzzy sets allow to deal with uncertain and imprecise data. Many classification problems are formalized by using fuzzy concepts, because crisp classes represent an oversimplification of reality, leading to wrong results of classification. Fuzzy Set Theory is an important mathematical tool to process complex and fuzzy da-ta. This theory is suitable for high resolution remote sensing image classification. Fuzzy sets and fuzzy numbers are used to determine basic probability assignment. Fuzzy numbers are used for detection of the optimal number of clusters in Fuzzy Clustering Methods. Image is modeled as a fuzzy graph, when we represent the dissimilitude between pixels in some classification tasks. Fuzzy sets are also applied in different tasks of processing digital optical images. It was noted, that fuzzy sets play an important role in analysis of results of classification, when different agreement measures between the reference data and final classification are considered. In this work arithmetic operations of fuzzy numbers using alpha-cut method were considered. Addition, subtraction, multiplication, division of fuzzy numbers and square root of fuzzy number were described in this paper. Moreover, it was illustrated examples with different arithmetic operations of fuzzy numbers. Fuzzy Set Theory and fuzzy numbers can be applied for analysis and classification of hyperspectral satellite images, solving ecological tasks, vegetation clas-sification, in remote searching for minerals.
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Kravchenko, Sergey. "Simulation of the national innovation systems development: A transnational and coevolution approach." Virtual Economics 2, no. 3 (July 7, 2019): 41–54. http://dx.doi.org/10.34021/ve.2019.02.03(4).
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The current state of scientific and technological development of the world economy is quite specific, because advanced technologies already known are too complicated for simple mechanical copying and borrowing, and most of the technologies of Industry 4.0 are in the making. Thus, the development and further exploitation of all kinds of innovations today, more than ever, require an appropriate environment - an effective national innovation system (NIS), which determines the country's ability to generate innovation, which is the key to high competitiveness and world leadership. However, the formation of a full-fledged innovation system of the country is quite complicated, for at least two reasons: first, there exist purely national features of functioning and cooperation of the main agents of change, and secondly, in the modern globalized world many of the most important for innovation processes go beyond the borders of individual countries, creating a unique transnational "ecosystem" with its distinctive features, which, undoubtedly, must be considered. The article proposes the scientific approach of reliable identification of national and transnational (supranational, global) innovation systems (TNIS) and the corresponding toolkit for simulating their development in the context of the quadruple helix concept. Identification of innovative systems is based on the methods of cluster analysis, genetic algorithms and neural network training. As a result, there have been identified and qualitatively interpreted four basic types of TNIS, which have stable characteristics determining the behavioural parameters and capabilities of the NIS included. A neural network has been built to identify NIS, which simplifies the process of simulating their development within the characteristic features of basic TNIS. It is established that the NIS of Ukraine belongs to the basic type of TNIS – “developed and developing countries with mixed extractive-inclusive institutions with a strong informal component (including the post-Soviet type)”. The results of its functioning against the background of global and relevant cluster leaders are not satisfactory and necessitate the adjustment of the further development vector. In order to demonstrate the capabilities of the neural network built, four supranational associations have been identified and analysed. The proposed approaches and tools will facilitate variant analytics and forecasting studies in substantiating the optimal directions for the individual NIS further development in the context of global and cluster trends.
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Kravchenko, S. I. "IDENTIFICATION OF THE NATIONAL INNOVATION SYSTEM IN A GLOBALIZED ENVIRONMENT." Strategic decisions and risk management 12, no. 4 (May 22, 2022): 335–43. http://dx.doi.org/10.17747/2618-947x-2021-4-335-343.
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The activation of innovation processes always requires the presence of an appropriate enabling environment - an effective national innovation system (NIS), which determines the country’s ability to generate and implement various kinds of innovations. However, the formation of a full-fledged country’s innovation system is quite difficult, at least for two reasons: the presence of purely national features of the functioning of the main agents of change, as well as the specifics of the modern world, when many important processes for innovation go beyond individual countries, forming a globalized environment, the presence and the specifics of which determine the potential and strategic directions for the further development of each NIS. The scientific and methodological approach proposed in the paper is generally based on the hypothesis of the expediency of regulating a particular national innovation system development, taking into account its belonging to a certain basic type, which determines the specific features of development. For its implementation, the methods of genetic algorithms, cluster analysis, and neural network training were used. Within the framework of the study, four basic types of NIS were identified and qualitatively interpreted, which have characteristic features in the context of the quadruple helix concept of development. To identify the national innovation system, a neural network, which simplifies the modeling of its development, was built. As a demonstration of the additional possibilities of the toolkit, four supranational associations of countries have been identified and analyzed. The practical significance of the results lies in the possibility of conducting variable analytical and predictive studies in the course of substantiating the optimal directions for the further development of the national innovation system in terms of global and cluster trends.
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Uglova, Anna B., Irina M. Bogdanovskaya, and Boris A. Nizomutdinov. "A model of self-destructive behavior of modern youth based on the synthesis of biopsychosocial and cyberpsychological paradigms." Perspectives of Science and Education 61, no. 1 (March 1, 2023): 432–50. http://dx.doi.org/10.32744/pse.2023.1.26.
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Introduction. Generalization of biological, social, and psychological predictors of self-destructive behavior is one of the main tasks for world health care at the present time. For this reason, the development of an integrative model of self-destructive behavior, taking into account the diversity of biopsychosocial factors, as well as their representation in the virtual environment, will be highly relevant. The integrative model can be used to create automated systems for analyzing socio-cultural risk factors of self-destructive behavior, as well as helping specialists to create prevention, maintenance and correction programs. The purpose of the study is to describe and generalize the factors of the real and virtual environment that mediate the risk of developing self-destructive behavior and to create a hierarchical generalized model of self-destructive behavior based on the synthesis of biopsychosocial and cyberpsychological paradigms. Materials and methods. For a holistic analysis of the basic concepts and the creation of a general model of selfdestructive behavior, we used a combined approach that includes content analysis to describe the factors mediating self-destructive behavior, the method of expert assessments for the selection of significant factors, mathematical and statistical analysis for processing the data obtained (methods of descriptive statistics, cluster analysis (Ward method)). The results of the study. As a result of cluster analysis , the following components of the self-destructive behavior model were identified: 1) "Peculiarities of self-attitude" (23.2%) (the dynamic component, depending on the specific situation, is highly significant for face-to-face diagnosis; 2) "Endogenous factors of self-destructive behavior" (20.2%) (violations of the emotional-volitional sphere); 3) "Exogenous factors of self-destructive behavior" (21.4%) (negative factors of upbringing); 4) "Negative factors of the socio-cultural environment" (17.3%) (traumatic micro- and macrofactors that can provoke the occurrence of self-destructive symptoms); 5) "Individual characteristics developed in the process of personality formation" (14.2%) (individual predictors of self-destruction); 6) "Factors of isolation from the social environment" (3.6%) (a number of personal predictors that prevent open active interaction with others and getting help). Conclusion. A number of new data describing the structure of the generalized model of self-destructive behavior and the main directions of risk analysis have been obtained. The leading factors of the micro- and macro-socio-cultural environment are identified, representing a wide range of markers available for study through the analysis of virtual communication. The possibility of combining a biopsychosocial model and the capabilities of a cyberpsychological approach to create a dynamic digital monitoring model that allows for a general risk assessment for large samples to minimize the resources of individual diagnostics is shown.
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Guo, Yintong, Zhuangwei Li, Hui Song, Dan Jiang, and Jian Dong. "Analysis of Health Literacy level and its Influencing Factors among the Elderly in a Certain City of China." SHS Web of Conferences 190 (2024): 02009. http://dx.doi.org/10.1051/shsconf/202419002009.
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Objective To understand the health literacy level and its influencing factors of elderly in Guangzhou, so as to provide scientific evidence for formulating effective intervention measures and policies. Methods Stratified cluster random sampling was used to conduct a survey on health literacy among elderly in Guangzhou in 2022. Logistic regression was used to analyse the influencing factors of their health literacy level. Results The total level of elderly’s health literacy in Guangzhou is 16.9%; From the three dimensions of health literacy, 13.6% of elderly have health knowledge and conceptual literacy, 23.7% of healthy lifestyle and behaviour, and 3.4% of health skills literacy. From high to low, the level of the six aspects of health literacy are scientific health concept literacy (37.3%), safety and emergency literacy (35.7%), health information literacy (28.9%), basic medical literacy (25.4%), chronic disease prevention and control literacy (15.3%), and infectious disease prevention and control literacy (11.9%). And there are significant differences among elderly of different ages, educational level, housing population and years of having diseases (P <0.05). Conclusion The overall health literacy of elderly in Guangzhou is relatively high in China, but still need to be improved, esp. in health skills and infectious disease prevention and control literacy.
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Tighe, Patrick J., Bharadwaj Sannapaneni, Roger B. Fillingim, Charlie Doyle, Michael Kent, Ben Shickel, and Parisa Rashidi. "Forty-two Million Ways to Describe Pain: Topic Modeling of 200,000 PubMed Pain-Related Abstracts Using Natural Language Processing and Deep Learning–Based Text Generation." Pain Medicine 21, no. 11 (April 6, 2020): 3133–60. http://dx.doi.org/10.1093/pm/pnaa061.
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Abstract Objective Recent efforts to update the definitions and taxonomic structure of concepts related to pain have revealed opportunities to better quantify topics of existing pain research subject areas. Methods Here, we apply basic natural language processing (NLP) analyses on a corpus of >200,000 abstracts published on PubMed under the medical subject heading (MeSH) of “pain” to quantify the topics, content, and themes on pain-related research dating back to the 1940s. Results The most common stemmed terms included “pain” (601,122 occurrences), “patient” (508,064 occurrences), and “studi-” (208,839 occurrences). Contrarily, terms with the highest term frequency–inverse document frequency included “tmd” (6.21), “qol” (6.01), and “endometriosis” (5.94). Using the vector-embedded model of term definitions available via the “word2vec” technique, the most similar terms to “pain” included “discomfort,” “symptom,” and “pain-related.” For the term “acute,” the most similar terms in the word2vec vector space included “nonspecific,” “vaso-occlusive,” and “subacute”; for the term “chronic,” the most similar terms included “persistent,” “longstanding,” and “long-standing.” Topic modeling via Latent Dirichlet analysis identified peak coherence (0.49) at 40 topics. Network analysis of these topic models identified three topics that were outliers from the core cluster, two of which pertained to women’s health and obstetrics and were closely connected to one another, yet considered distant from the third outlier pertaining to age. A deep learning–based gated recurrent units abstract generation model successfully synthesized several unique abstracts with varying levels of believability, with special attention and some confusion at lower temperatures to the roles of placebo in randomized controlled trials. Conclusions Quantitative NLP models of published abstracts pertaining to pain may point to trends and gaps within pain research communities.
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Pashchenko, Dmitry V., Alexey I. Martyshkin, Dmitry A. Trokoz, Tatyana Yu Pashchenko, Mikhail Yu Babich, and Mikhail M. Butaev. "Behaviour examples for synthesizing automaton models by temporal formulas." Nexo Revista Científica 34, no. 01 (April 13, 2021): 61–73. http://dx.doi.org/10.5377/nexo.v34i01.11285.
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The paper deals with researching and developing the methods that make it possible to account behaviour examples when synthesizing automaton models by temporal formulas. Definitions of the terms and concepts used in work are given; the problem of synthesizing automaton systems according to the specification in the form of temporal formulas and behaviour examples is formulated; a promising algorithm for reducing the problem of synthesizing automaton systems to the Boolean formula satisfiability problem is described; an analysis of the domain and other approaches is carried out. New methods of taking into account behaviour examples in the synthesis of automaton systems according to a specification given in the form of temporal formulas are proposed. Algorithms for constructing graphs of scripts and methods for dividing graphs into clusters are described; they are designed to increase the efficiency of representing behaviour examples used for coding the behaviour examples in the form of Boolean formulas. An experimental study of the proposed methods of accounting for behaviour examples and basic approaches to the presentation of behaviour examples is carried out. The experimental results showed the superiority of the newly developed methods regarding the presentation of scripts in the form of temporal formulas. In summary, the main conclusions of the work carried out are presented.
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Galistcheva, N. V., and N. G. Khromova. "Assessment of the Competitiveness of the Diamond Cutting Industry in India (Case Study: The Gujarati Diamond Cutting Cluster)." Outlines of global transformations: politics, economics, law 14, no. 2 (April 2, 2021): 122–44. http://dx.doi.org/10.23932/2542-0240-2021-14-2-7.
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The aim of the research is the comprehensive analysis of the Indian diamond cutting industry’s competitiveness (case study: Gujarati diamond cutting cluster). The authors show that the promotion of the diamond industry has a significant positive impact not only on the development of the economy of Gujarat, but also on the entire Indian economy as a whole. The authors pay attention to the evolution of the development of the Gujarat diamond cutting cluster, as well as its modern trends through the prism of the current situation on the world diamond market in the 2010s.The subject of the article is Gujarat diamond cutting cluster and the research question is to evaluate its drivers and limits. The working hypothesis of the study is the following: the competitiveness of the Indian diamond cutting industry is largely determined by the significant role of the state, which is generally typical for the Indian economy as a whole.The theoretical basis of the research is the synthesis of M.Porters concept of competitiveness of national economy branches and the mathematical approach of B.Balassa to the assessment of the revealed comparative advantages of the country on the specific product’s world market. The research is based on the systematic approach to the study of national economy using basic methods of scientific knowledge such as induction and deduction, analysis and synthesis as well as field research.The specific feature of this article is a detailed analysis of the competitiveness model of the Indian diamond cutting industry, as well as the calculation of the Balassa index and the drawing the appropriate graphs.The article presents different data on the place of the Indian diamond industry on the global market and India’s achievements in the special equipment production and fostering the creation of specific factors. Future studies should focus on further research on specific factors of competitiveness of Indian diamond cutting industry, as well as the role of the state in the Indian economy.
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Bennett, Rebecca J., Carly J. Meyer, and Robert H. Eikelboom. "How do Hearing Aid Owners Acquire Hearing Aid Management Skills?" Journal of the American Academy of Audiology 30, no. 06 (June 2019): 516–32. http://dx.doi.org/10.3766/jaaa.17129.
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AbstractClinical studies have found up to 90% of hearing aid owners demonstrate difficulty with basic hearing aid management tasks and almost 50% of hearing aid owners self-report not receiving enough practical help from their clinician regarding how to use their hearing aid. Although studies have highlighted the overwhelming amount of information and training required to learn how to use a hearing aid appropriately, a gap remains in the literature regarding the range of methods by which hearing aid owners acquire the knowledge and skills for hearing aid use, and whether these approaches are considered beneficial.To gain insight into how both hearing aid owners and hearing health clinicians view the acquisition of hearing aid management skills and the efficacy of currently used methods of hearing aid training.Concept mapping techniques were used to identify key themes, wherein participants generated, sorted, and rated the importance of statements in response to the question “How do hearing aid owners learn the skills required to use, handle, manage, maintain, and care for their hearing aids?”Twenty-four hearing aid owners (aged 56–91 years; 54.2% male) and 22 clinicians (aged 32–69 years; 9.1% male).Participant perspectives were collected via group concept mapping sessions in October 2015. Hierarchical cluster analysis was used to identify themes and develop a framework for understanding how skill acquisition occurs. Participants rated each method of hearing aid skill acquisition as to how beneficial it was and how often it was used.Participants identified 75 unique items describing how hearing aid management skills are acquired within six concepts: (1) Relationship with the clinician, (2) clinician as a source of knowledge and support, (3) hands-on experience, (4) seeking additional information, (5) asking support people for help, and (6) external resources.The results of this study highlight the diverse methods and sources by which hearing aid owners learn the skills necessary to use, manage, and maintain their hearing aids. Significant emphasis was placed on the role of the hearing health clinician to provide training, support, and an ongoing professional relationship, with lesser roles played by family, friends, and other health professionals.
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Yeutukhou, Ihar A. "Old English poem «Judith» as a reflection of Anglo-Saxon early medieval mentality." Journal of the Belarusian State University. History, no. 1 (January 31, 2020): 62–68. http://dx.doi.org/10.33581/2520-6338-2020-1-62-68.
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The article analyzes the reflection of the Western European early medieval mentality in the Оld English poem «Judith». The following research methods were used: clustering (formation of a cluster of verbal reflections of mental attitudes) and historical-semantic analysis of objects included in the cluster. Poem «Judith» information, connected with the mentality, concerns two lines: the motivation to participate in the battle, and the posthumous punishment of the main antagonist of Holofernes. The analysis allowed the author to draw the following conclusions. Firstly, the poem «Judith» is not a direct poetic paraphrase of the eponymous book of the Оld Testament. The text contains a number of additions that carry completely new information, revealing in particular problems associated with the mentality (Judith speech, the posthumous fate of Holofernes). Secondly, the poem «Judith» allows us to distinguish two levels in the mentality of Anglo-Saxon society – basic one and emerging. The first of them is represented by the concept of «glory» (wuldor and tir). The use of the word wuldor indicates a significant stability of structures associated with the foundations of the mentality of society. For Anglo-Saxon society such a basis was war and glory. The glory had been denoted by the word, rooted in the days of the Old German community (linked to the Gothic language), and unknown to the Vikings. The same stability shows respect for the leader of the enemy troops. The second level is represented by the image of «snake hall» (wyrm-sele), which was formed during the wars with the Vikings in the 10th century for the liberation of the occupied territories. Thirdly, the presence of two levels in the mentality allows author to consider the period of its formation as open. Thus the innovation, arised under Scandinavian influence, was not entrenched in mentality.
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Yuniarsih, Sri Mumpuni, Joyo Wasito, and Moh Khotibul Umam. "Health Care Providers Acceptance and Knowledge about Traditional Health Services at Community Health Centers in Pekalongan, Central Java, Indonesia." Jurnal Keperawatan Respati Yogyakarta 10, no. 3 (October 18, 2023): 161. http://dx.doi.org/10.35842/jkry.v10i3.724.
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Traditional health services are public health services and are a system of treatment/care that is based on the philosophy and basic concepts of the whole person so that clients will be seen in a more humane way. Traditional health services are carried out using skilled methods, ingredients, or both. On average, health workers do not know about traditional health services at the Puskesmas and have never applied traditional health services, either in therapy or herbal ingredients, due to a lack of knowledge about traditional health. With increased knowledge and acceptance of traditional health services, it is hoped that this will become a promotive and preventive effort to maintain health independently. This research contributed to describing the knowledge and acceptance of health workers towards traditional health services at community health centers in Pekalongan Regency. This type of research is descriptive and quantitative with a cross-sectional design. Data collection is based on primary data in the form of a questionnaire. Data analysis using univariate analysis. A sample of 92 respondents with the Cluster Random Sampling technique. The research results were analyzed using univariate analysis. The results showed that the majority of respondents in the good knowledge category were women 60.9%, the good knowledge of the majority of respondents with an age range of 31-40 years was 31.5%, the good knowledge of the majority of D3 education levels was 48.9%, the good knowledge category was the majority of the nursing profession by 30 .4%. The majority of respondents in the good acceptance category were women, 39.1%, and the good acceptance of the majority of respondents in the age range of 41-50 years was 23.9%. The good acceptance of the majority of D3 education levels was 37%, and the good acceptance of the majority of the profession of nurses and midwives was 20.7%. Knowledge of the majority of health workers in the good category was 79.3%, and the acceptance of health workers was in the good category at 54.3%.
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Liu, Sifeng, Yingjie Yang, Naiming Xie, and Jeffrey Forrest. "New progress of Grey System Theory in the new millennium." Grey Systems: Theory and Application 6, no. 1 (February 1, 2016): 2–31. http://dx.doi.org/10.1108/gs-09-2015-0054.
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Purpose – The purpose of this paper is to summarize the progress in grey system research during 2000-2015, so as to present some important new concepts, models, methods and a new framework of grey system theory. Design/methodology/approach – The new thinking, new models and new methods of grey system theory and their applications are presented in this paper. It includes algorithm rules of grey numbers based on the “kernel” and the degree of greyness of grey numbers, the concept of general grey numbers, the synthesis axiom of degree of greyness of grey numbers and their operations; the general form of buffer operators of grey sequence operators; the four basic models of grey model GM(1,1), such as even GM, original difference GM, even difference GM, discrete GM and the suitable sequence type of each basic model, and suitable range of most used grey forecasting models; the similarity degree of grey incidences, the closeness degree of grey incidences and the three-dimensional absolute degree of grey incidence of grey incidence analysis models; the grey cluster model based on center-point and end-point mixed triangular whitenization functions; the multi-attribute intelligent grey target decision model, the two stages decision model with grey synthetic measure of grey decision models; grey game models, grey input-output models of grey combined models; and the problems of robust stability for grey stochastic time-delay systems of neutral type, distributed-delay type and neutral distributed-delay type of grey control, etc. And the new framework of grey system theory is given as well. Findings – The problems which remain for further studying are discussed at the end of each section. The reader could know the general picture of research and developing trend of grey system theory from this paper. Practical implications – A lot of successful practical applications of the new models to solve various problems have been found in many different areas of natural science, social science and engineering, including spaceflight, civil aviation, information, metallurgy, machinery, petroleum, chemical industry, electrical power, electronics, light industries, energy resources, transportation, medicine, health, agriculture, forestry, geography, hydrology, seismology, meteorology, environment protection, architecture, behavioral science, management science, law, education, military science, etc. These practical applications have brought forward definite and noticeable social and economic benefits. It demonstrates a wide range of applicability of grey system theory, especially in the situation where the available information is incomplete and the collected data are inaccurate. Originality/value – The reader is given a general picture of grey systems theory as a new model system and a new framework for studying problems where partial information is known; especially for uncertain systems with few data points and poor information. The problems remaining for further studying are identified at the end of each section.
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Majchrzak, Joanna. "The Relationship Between Quality Management and Marketing – Study of the Current Situation." Annales Universitatis Mariae Curie-Skłodowska, sectio H – Oeconomia 58, no. 3 (July 17, 2024): 235–48. http://dx.doi.org/10.17951/h.2024.58.3.235-248.
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Theoretical background: This paper considers the interdisciplinarity of quality science. In the first part of the work, a set of important disciplines supporting qualitative research was defined, focussing on management science and marketing. It is noticed that the studies have been conducted to examine the relationships among quality management and marketing performance. However, the literature is short of studies relating to the ordering, classification and categorization of current research results, which integrates the concepts of Total Quality Management (TQM) with the basics of marketing management. Purpose of the article: The study used the method of systematic literature review in order to recognize the relationship between the selected area of quality science, i.e. quality management, and the selected discipline supporting quality science, i.e. marketing management. Research methods: A four-stage research process was applied, defining the purpose of the research as the ordering (classification) of the research, in which the issues of TQM and marketing management were referred to. A collection of literature (n = 1,649) was selected using the Web of Science database. Bibliometric analysis was used, indicating the distribution of the number of publications and the analysis of the number of citations. Content related analysis referring to the recognition of occurrences, here working with keywords, was conducted. Main findings: As a result, four clusters were distinguished and taking into account the significance expressed in terms of the number of repetitions of individual words in a given cluster, four thematic areas of research were specified in which the integration of knowledge in the field of marketing with quality management is visible, i.e. (1) customer driven quality management, (2) the quality of design, (3) quality of conformance, and (4) the cost of quality management. The last part of the paper focuses on significant changes in the quality management strategy related to the ongoing Fourth Industrial Revolution and the importance of managing quality in a global, interdisciplinary approach.
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Andrianov, Dmitrii, and Petr Simonov. "A REVIEW OF THE METHODS OF ECONOMIC AND MATHEMATICAL MODELING BASED ON THE PRINCIPLES OF ECONOPHYSICS. PART 2." Applied Mathematics and Control Sciences, no. 2 (June 30, 2020): 165–90. http://dx.doi.org/10.15593/2499-9873/2020.2.09.
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A review of theoretical and applied results obtained in the framework of the scientific direction in econophysics at the Department of information systems and mathematical methods in economics is given. The first part gives the concept of a financial bubble and methods for finding them. At the beginning of the article, the development of econophysics is given. Therefore, using the research of physicists as a model, econophysics should begin its research not from the upper floors of an economic building (in the form of financial markets, distribution of returns on financial assets, etc.), but from its fundamental foundations or, in the words of physicists, from elementary economic objects and forms of their movement (labor, its productivity, etc.). Only in this way can econophysics find its subject of study and become a "new form of economic theory". Further, the main prerequisites of financial bubble models in the market are considered: the principle of the absence of arbitrage opportunities, the existence of rational agents, a risk-driven model, and a price-driven model. A well-known nonlinear LPPL model (log periodic power law model) was proposed. In the works of V.O. Arbuzov, it was proposed to use procedures for selecting models. Namely, basic selection, "stationarity" filtering, and spectral analysis were introduced. The results of the model were presented in the works of D. Sornette and his students. The second part gives the concept of percolation and its application in Economics. We will consider a mathematical model proposed by J.P. Bouchaud, D. Stauffer, and D. Sornette that recreates the behavior of an agent in the market and their interaction, geometrically describing a phase transition of the second kind. In this model, the price of an asset in a single time interval changes in proportion to the difference between supply and demand in this market. The results are published in the works of A.A. Byachkova, B.I. Myznikova and A.A. Simonov. There are two types of phase transition: the first and second kind. During the phase transition of the first kind, the most important, primary extensive parameters change abruptly: the specific volume, the amount of stored internal energy, the concentration of components, and other indicators. It should be noted that this refers to an abrupt change in these values with changes in temperature, pressure, and not a sudden change in time. The most common examples of phase transitions of the first kind are: melting and crystallization, evaporation and condensation. During the second kind of phase transition, the density and internal energy do not change. The jump is experienced by their temperature and pressure derivatives: heat capacity, coefficient of thermal expansion, or various susceptibilities. Phase transitions of the second kind occur when the symmetry of the structure of a substance changes: it can completely disappear or decrease. For quantitative characterization of symmetry in a second-order phase transition, an order parameter is introduced that runs through non-zero values in a phase with greater symmetry, and is identically equal to zero in an unordered phase. Thus, we can consider percolation as a phase transition of the second kind, by analogy with the transition of paramagnets to the state of ferromagnets. The percolation threshold or critical concentration separates two phases of the percolation grid: in one phase there are finite clusters, in the other phase there is one infinite cluster. The key situation to study is the moment of formation of an infinite cluster on the percolation grid, since this means the collapse of the market, when the overwhelming part of agents for this market has a similar opinion about their actions to buy or sell an asset. The main characteristics of the process are the threshold probability of market collapse, as well as the empirical distribution function of price changes in this market. Keywords: econophysics, behavior of agents in the market, market crash, second-order phase transition, percolation theory, model calibration, agent model calibration, percolation gratings, gradient percolation model, percolation threshold, clusters, fractal dimensions, phase transitions of the first and second kind.
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Gorbunova, Lyudmyla. "Education for Sustainable Development: Towards a Concept and Methodology." Filosofiya osvity. Philosophy of Education 24, no. 1 (December 4, 2019): 52–78. http://dx.doi.org/10.31874/2309-1606-2019-24-1-52-78.
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The context of global transformations related to overcoming systemic crises and contradictions and the transition of mankind to a new way of civilizational development requires the development of a policy of sustainable development of society and relevant transformative strategies for the development of education, which are already specified within of projects and programs of international organizations (UN, UNESCO, UNESCO, UNESCO, EC) as a list of key competences (“21st century key competences”, “transversal competences”, “transcultural competences” , “competence of sustainable development” and the like). According to an analysis of the educational competencies offered to national societies, integrated into specific systems and clusters, almost all of them relate to the processes of formation and transformation of individuals as integral subjects of knowledge and action within the framework of communicative strategies for sustainable development and formation of global civil society.
On the agenda are the tasks of research and integration into the Ukrainian educational policy and the practice of teaching new concepts and theories research and integration into Ukrainian educational policy and practice of teaching new concepts and theories as worldviews and methodological opportunities for updating the content, forms and methods of education and upbringing of Ukrainian youth as members of global civil society, as citizens of sustainable development in a relentless and inclusive environment internationalization of social life.
The article, based on the anniversary report of the Club of Rome in accordance with the proposed policy of the “New Enlightenment”, with reference to the documents of the UN and UNESCO, the works of eminent scientists and specialists in the development of education, considers the international concept of education for sustainable development as the basis for modern educational policy at the national, regional and institutional levels, as a key tool for achieving the Sustainable Development Goals, discuss the basic principles of integrative thinking as transversal, important aspects of the future education system, key inter-disciplinary competencies, key educational approaches with a focus on transformative learning.
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Burkina, Natalia, Taras Furman, Janusz Soboń, and Kostiantyn Sapun. "Regional Differentiation for Life Quality of the Population in Ukraine Under Innovative Growth." Financial Internet Quarterly 16, no. 2 (June 1, 2020): 73–86. http://dx.doi.org/10.2478/fiqf-2020-0014.
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Abstract The article focuses on the analysis of economic growth of Ukraine and its regions, using the proposed by the authors indicators of quality and indicators of the population living standards under innovation growth. The main purpose of the research is developing a method of multi-factor assessment and regional classification of population`s life quality. Moving to the results literature review showed that many approaches to assessing the quality of life of the population have been developed in the statistical theory and practice. However, still, there are many discussions about the question of a single aggregate indicator of living standards and the methodology of regional differentiation by this criterion. So, it has not been found a rational way to combine indicators of the level and quality of life to obtain a comprehensive index that reflects objectively, reliably and verifiable the population`s level and quality of life. The main discovered disadvantage of existing methods is the use of the expert estimation method, which does not allow guaranteeing validity the weight of the criteria for estimation the quality of life indicator. Nevertheless, all authors admitted that today the role of the state rises in solving the most important social and economic problems, therefore, the task to increase the efficiency of the regions` functioning based on innovation activity becomes of key importance. The analysis of regional activity`s effectiveness considering the innovation component is the most important part of national administration. In the article the research of the question of multi-factor assessment and regional classification the quality of the country population`s life is carried out in the following logical sequence: theoretical analysis of categories of living standards and quality of life; development of the statistical indicators system at the regional level for assessing the quality of life of the population; distribution of the entire system of indicators for certain economic categories; receiving indexes for each region by each category; realization of regional clustering with the received system of indexes. The methodical tools of the research were general scientific methods: analysis (conducted analysis of definitions for concepts of the standard of living and quality of life); synthesis (combination of separate research methods into a unified methodology of regional differentiation by the quality of life); deduction (initially it is analyzed all the proposed systems of indicators in general, and then they are divided into economic categories); abstraction (separation of a significant indicators system for the implementation of regional differentiation in terms of innovation development of the living standard of the population from the entire statistical information), specification (revealing specific characteristics of the received categories and clusters); comparison (comparison of regions according to the indicators of the population`s life quality level), classification (grouping of individual indicators into economic categories); generalization (with the help of which conclusions were drawn). There were also used some special methods: cluster methods (the tree clustering method and k-means clustering of the regions of Ukraine by the basic indicators of population`s living standards), the method of the main components (for the development of regional indexes for each category). The research was carried out for the data of 2017 year as the last year, for which statistical information is available with most indicators in a regional context. The object of the study is Ukraine and its 24 regions. The city of Kyiv was highlighted as the capital. The article presents the results of the empirical analysis of the level and quality of population`s life indicators, which allowed to allocate five clusters and a set of indicators for regional differentiation. The study empirically confirms the presence of regional clusters in the category of living standards and theoretically proposes a methodology for its implementation in conditions of innovative development. The results of the study can be useful for analyzing various scenarios for the implementation of social policy aimed at financial and economic protection of the population ensuring. It was shown that for certain regions the quality of population`s life should be considered as a task of their innovative growth.
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Andrianov, Dmitrii, and Petr Simonov. "A REVIEW OF THE METHODS OF ECONOMIC AND MATHEMATICAL MODELING BASED ON THE PRINCIPLES OF ECONOPHYSICS. PART 1." Applied Mathematics and Control Sciences, no. 1 (March 27, 2020): 161–81. http://dx.doi.org/10.15593/2499-9873/2020.1.10.
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A review of theoretical and applied results obtained in the framework of the scientific direction in econophysics at the Department of Information Systems and Mathematical Methods in Economics is given. The first part gives the concept of a financial bubble and methods for their search. The review covers the period 2010-2019. A review of theoretical and applied results obtained in the framework of the scientific direction in econophysics at the Department of information systems and mathematical methods in Economics is given. The first part gives the concept of a financial bubble and methods for finding them. At the beginning of the article, the development of econophysics is given. Therefore, using the research of physicists as a model, econophysics should begin its research not from the upper floors of an economic building (in the form of financial markets, distribution of returns on financial assets, etc.), but from its fundamental foundations or, in the words of physicists, from elementary economic objects and forms of their movement (labor, its productivity, etc.). Only in this way can econophysics find its subject of study and become a "new form of economic theory". Further, the main prerequisites of financial bubble models in the market are considered: the principle of the absence of arbitrage opportunities, the existence of rational agents, a risk-driven model, and a price-driven model. A well-known nonlinear LPPL model (log periodic power law model) was proposed. In the works of V. O. Arbuzov, it was proposed to use procedures for selecting models. Namely, basic selection, "stationarity" filtering, and spectral analysis were introduced. The results of the model were presented in the works of D. Sornette and his students. The second part gives the concept of percolation and its application in Economics. We will consider a mathematical model proposed by J. P. Bouchaud, D. Stauffer, and D. Sornette that recreates the behavior of an agent in the market and their interaction, geometrically describing a phase transition of the second kind. In this model, the price of an asset in a single time interval changes in proportion to the difference between supply and demand in this market. The key situation to study is the moment of formation of an infinite cluster on the percolation grid, since this means the collapse of the market, when the overwhelming part of agents for this market has a similar opinion about their actions to buy or sell an asset. The main characteristics of the process are the threshold probability of market collapse, as well as the empirical distribution function of price changes in this market.