This document summarizes the role of Vyatka State University (VyatGU) in developing biotechnology in the Kirov region of Russia. It discusses how VyatGU provides graduates with expertise in areas like mathematical modeling, economics, and biotechnology. It also outlines some of VyatGU's research projects, publications, and international collaborations that contribute to advancing biotechnology in the Kirov region.
Koshova, S., Britchenko, I., & Bezpartochnyi, M. (2021). Economic and mathema...Igor Britchenko
The document discusses economic and mathematical models for forecasting the development of the space industry. It begins by explaining that the space industry is important for national security and economic development. It then outlines that forecasting key indicators can help plan for sustainable economic growth. The document examines how to construct models using factors that influence industry development. Specifically, it explores using correlation-regression analysis and inter-sectoral balance models to predict indicators based on mathematical formulas. Overall, the models aim to increase planning accuracy and help identify strategies to support the space industry, which is important for maintaining national sovereignty.
Mr Radu Constantinescu and Mr Goran Djordjević - Faculty of Science, Universi...UNESCO Venice Office
This document summarizes a meeting on science, technology, and innovation held in Sarajevo, Bosnia and Herzegovina. It discusses the Southeastern European Network in Mathematical and Theoretical Physics (SEENET-MTP), which includes 20 research institutions from 11 countries. Over the past 10 years, the network has facilitated around 160 researcher and student exchanges, published 100 papers and several books, and organized over 10 scientific meetings. The document outlines the network's activities, publications, and future events, and presents a map of excellence in physics and mathematics research institutions in Southeastern Europe. It finds strengths in the critical mass of researchers and scientific output, but also weaknesses in international cooperation and human resource valuation.
In spite of the many advancementsinsafety technology, roadway design and engineering as well as
several policy initiativesaimed at addressingtraffic crashes (and it concomitant injuries and fatalities); it
continuesto saddle humanity and present significant health hazards and threats to the socio-economic wellbeing
of the inhabitants of this earth. Even though federal and state transportation engineers, policy makers, planners
and researchers have spent large sums of money and effort on this complex and ubiquitous problem, traffic
crashes is one of the top causes of fatal and non-fatal injuries in the United States. In this work a piecewise
approach was used to perform an exploratory,systemic characterization and analysis of the six-year (2008-
2013) traffic crash data from North Dakota to discover the nature, peculiarities and trends in the data.Several
important features and trends in the data were discovered and the outcome of this paper can be further used for
engineering design, planning and policy analysis. The research approach could be duplicated in any other state
to enhance its societal benefits. Heterogeneity and uncertainty will be fully addressed in future work.
This curriculum vitae summarizes the professional experience and qualifications of Wai Keung Li, a Chair Professor in the Department of Statistics & Actuarial Science at the University of Hong Kong. It outlines his educational background, positions held, honors and awards received, publications, citations, research interests, and membership in professional organizations. Li has had a distinguished career as a statistics professor since 1983, with over 145 refereed journal publications and extensive experience supervising graduate students and administering his department.
UNCERTAINTY OF HYDROLOGIC EVENTS UNDER SOUTH DAKOTA’S CHANGING CONDITIONS: A ...Boris Shmagin
Widespread flooding across South Dakota in 2011 has spurred a new look at the institutional, regulatory, and mathematical models used to manage the Upper Missouri River Basin as it affects all aspects of life in South Dakota. An SD EPSCoR planning grant was awarded to a team of local, national and international
researchers, who produced a strategy to create a research infrastructure with the goal of developing conceptual and mathematical models to understand and describe the uncertainty of hydrological events (HE) across South Dakota. The strategy involves two main tasks: 1) planning for study of the uncertainty of HE in the Upper Missouri Basin (Shmagin, B. 2011. Missouri River watershed: the object for hydrological study and uncertainty of models. Available from Nature
Precedings at <http: />. [Accessed Oct 3, 2012].)
and 2) developing concepts for communicating uncertainty of HE for wider use outside the professional community. The plan brings together a variety of disciplines, and outlines the development of an artificial intelligence approach to analyzing the interaction of HE, engineering installations and social systems in South Dakota.
The focus of study is the system hydrological researcher – mathematical modeler
– stakeholder, and the process considered is the interaction of knowledge with uncertainty in application to HE. Uncertainty in HE will be defined using concepts broader than hydrology (such as statistical learning) and linked to the concerns of all social, cultural and economic sectors in South Dakota.
Considering this system of interacting participants allows focusing on the principal stages in tackling uncertainty, from developing the research task and obtaining the hydrological results to communication between researcher and stakeholder. Mathematical models are the universal language in scientific research
and will be adapted to bring the results to stakeholders. Three mathematical
approaches to modeling HE and impacts to South Dakota will be considered: 1) distributed system interactions, 2) statistical learning and 3) cellular automata.
Specific concepts of uncertainty for modeling watersheds and describing the time-space variability of water cycles and budget for regional hydrologic study were developed. These concepts include remotely sensed data use, scale and influence of drainage and irrigation on the groundwater regime and hydrology of wetlands and lakes in the Missouri River Valley and Prairie Pothole Region. Additional necessary concepts concern risk assessment and HE interaction with the sociology and economy (e.g., types and scales of regionalization of the physical and human environment), and the design of interactive simulation models (e.g., cartographic presentation and simplified educational modeling after A. Voinov [2008]. of HE in the natural landscapes and industrial/changed conditions in South Dakota.
Static modeling represents the static elements of software such as classes, objects, and interfaces and their relationships. It includes class diagrams and object diagrams. Class diagrams show classes, attributes, and relationships between classes. Object diagrams show instances of classes and their properties. Dynamic modeling represents the behavior and interactions of static elements through interaction diagrams like sequence diagrams and communication diagrams, as well as activity diagrams.
This document provides an overview of static reservoir modeling. It discusses grid definition and selection, structural modeling using seismic data interpretation, stratigraphic modeling using well log correlation, lithological modeling to define facies distributions, and petrophysical modeling to estimate properties. Structural modeling involves identifying tops, interpreting faults manually or automatically using ant tracking. Stratigraphic modeling uses sequence stratigraphy and well log correlation. Lithological modeling integrates sedimentology, facies classification, and 3D distribution. Petrophysical modeling can be deterministic or stochastic to interpolate properties between wells.
Koshova, S., Britchenko, I., & Bezpartochnyi, M. (2021). Economic and mathema...Igor Britchenko
The document discusses economic and mathematical models for forecasting the development of the space industry. It begins by explaining that the space industry is important for national security and economic development. It then outlines that forecasting key indicators can help plan for sustainable economic growth. The document examines how to construct models using factors that influence industry development. Specifically, it explores using correlation-regression analysis and inter-sectoral balance models to predict indicators based on mathematical formulas. Overall, the models aim to increase planning accuracy and help identify strategies to support the space industry, which is important for maintaining national sovereignty.
Mr Radu Constantinescu and Mr Goran Djordjević - Faculty of Science, Universi...UNESCO Venice Office
This document summarizes a meeting on science, technology, and innovation held in Sarajevo, Bosnia and Herzegovina. It discusses the Southeastern European Network in Mathematical and Theoretical Physics (SEENET-MTP), which includes 20 research institutions from 11 countries. Over the past 10 years, the network has facilitated around 160 researcher and student exchanges, published 100 papers and several books, and organized over 10 scientific meetings. The document outlines the network's activities, publications, and future events, and presents a map of excellence in physics and mathematics research institutions in Southeastern Europe. It finds strengths in the critical mass of researchers and scientific output, but also weaknesses in international cooperation and human resource valuation.
In spite of the many advancementsinsafety technology, roadway design and engineering as well as
several policy initiativesaimed at addressingtraffic crashes (and it concomitant injuries and fatalities); it
continuesto saddle humanity and present significant health hazards and threats to the socio-economic wellbeing
of the inhabitants of this earth. Even though federal and state transportation engineers, policy makers, planners
and researchers have spent large sums of money and effort on this complex and ubiquitous problem, traffic
crashes is one of the top causes of fatal and non-fatal injuries in the United States. In this work a piecewise
approach was used to perform an exploratory,systemic characterization and analysis of the six-year (2008-
2013) traffic crash data from North Dakota to discover the nature, peculiarities and trends in the data.Several
important features and trends in the data were discovered and the outcome of this paper can be further used for
engineering design, planning and policy analysis. The research approach could be duplicated in any other state
to enhance its societal benefits. Heterogeneity and uncertainty will be fully addressed in future work.
This curriculum vitae summarizes the professional experience and qualifications of Wai Keung Li, a Chair Professor in the Department of Statistics & Actuarial Science at the University of Hong Kong. It outlines his educational background, positions held, honors and awards received, publications, citations, research interests, and membership in professional organizations. Li has had a distinguished career as a statistics professor since 1983, with over 145 refereed journal publications and extensive experience supervising graduate students and administering his department.
UNCERTAINTY OF HYDROLOGIC EVENTS UNDER SOUTH DAKOTA’S CHANGING CONDITIONS: A ...Boris Shmagin
Widespread flooding across South Dakota in 2011 has spurred a new look at the institutional, regulatory, and mathematical models used to manage the Upper Missouri River Basin as it affects all aspects of life in South Dakota. An SD EPSCoR planning grant was awarded to a team of local, national and international
researchers, who produced a strategy to create a research infrastructure with the goal of developing conceptual and mathematical models to understand and describe the uncertainty of hydrological events (HE) across South Dakota. The strategy involves two main tasks: 1) planning for study of the uncertainty of HE in the Upper Missouri Basin (Shmagin, B. 2011. Missouri River watershed: the object for hydrological study and uncertainty of models. Available from Nature
Precedings at <http: />. [Accessed Oct 3, 2012].)
and 2) developing concepts for communicating uncertainty of HE for wider use outside the professional community. The plan brings together a variety of disciplines, and outlines the development of an artificial intelligence approach to analyzing the interaction of HE, engineering installations and social systems in South Dakota.
The focus of study is the system hydrological researcher – mathematical modeler
– stakeholder, and the process considered is the interaction of knowledge with uncertainty in application to HE. Uncertainty in HE will be defined using concepts broader than hydrology (such as statistical learning) and linked to the concerns of all social, cultural and economic sectors in South Dakota.
Considering this system of interacting participants allows focusing on the principal stages in tackling uncertainty, from developing the research task and obtaining the hydrological results to communication between researcher and stakeholder. Mathematical models are the universal language in scientific research
and will be adapted to bring the results to stakeholders. Three mathematical
approaches to modeling HE and impacts to South Dakota will be considered: 1) distributed system interactions, 2) statistical learning and 3) cellular automata.
Specific concepts of uncertainty for modeling watersheds and describing the time-space variability of water cycles and budget for regional hydrologic study were developed. These concepts include remotely sensed data use, scale and influence of drainage and irrigation on the groundwater regime and hydrology of wetlands and lakes in the Missouri River Valley and Prairie Pothole Region. Additional necessary concepts concern risk assessment and HE interaction with the sociology and economy (e.g., types and scales of regionalization of the physical and human environment), and the design of interactive simulation models (e.g., cartographic presentation and simplified educational modeling after A. Voinov [2008]. of HE in the natural landscapes and industrial/changed conditions in South Dakota.
Static modeling represents the static elements of software such as classes, objects, and interfaces and their relationships. It includes class diagrams and object diagrams. Class diagrams show classes, attributes, and relationships between classes. Object diagrams show instances of classes and their properties. Dynamic modeling represents the behavior and interactions of static elements through interaction diagrams like sequence diagrams and communication diagrams, as well as activity diagrams.
This document provides an overview of static reservoir modeling. It discusses grid definition and selection, structural modeling using seismic data interpretation, stratigraphic modeling using well log correlation, lithological modeling to define facies distributions, and petrophysical modeling to estimate properties. Structural modeling involves identifying tops, interpreting faults manually or automatically using ant tracking. Stratigraphic modeling uses sequence stratigraphy and well log correlation. Lithological modeling integrates sedimentology, facies classification, and 3D distribution. Petrophysical modeling can be deterministic or stochastic to interpolate properties between wells.
The article is devoted to the problem of development and application of information
technologies in the strategic management of industrial enterprises under uncertainty
based on mathematical modeling. The purpose of the article is to develop tools that
support decision-making when choosing strategic guidelines for the development of
enterprises using economic and mathematical methods. The study of the system of
strategic management of industrial enterprises, which has the property of development,
based on the application of the methodology of system analysis. A model of the strategic
management process in the form of a logical structure containing a combined decisionmaking
procedure for solving problems, ranging from the study of the environment and
the development of the mission, and ending with the creation of economic and
mathematical tools and its use to evaluate decisions. The economic and mathematical
tools to support decision-making on the strategic guidelines for the development of
industrial enterprises in the conditions of stochastic uncertainty. As the characteristics
of the cost-effectiveness of strategies selected measure of profitability
The Economic Consultant is a quarterly peer-reviewed scientific journal.
Journal’s aim is to disseminate scientific research related to the actualization of modern socio-economic problems; to cover the latest achievements of socio-economic sciences; to consolidate the expert opinion on the problems of management development in the economic sphere.
The journal is a scientific consultant on effective public administration and regulation in various sectors of the social sphere and economy. It’s scope covers in management of innovations, labor and demographic economics, economics of education, social welfare, etc.
The report reviews key issues in energy trade and cooperation between the EU and CIS countries. It describes historical trends of oil and gas demand in the EU, other European and CIS countries and offers demand forecasts until 2030. Recent developments in oil and gas production and exports from Russia and Caspian countries are covered in detail leading to the discussion of the likely export potential of these regions. The key factors determining the production outlook, trade-offs and competition related to energy resources transportation choices are also discussed. The report also covers the interests and role of transit countries in relations between producer and consumer regions. The analytical section leads to policy recommendations that focus mainly on the EU.
Authored by: Sabit Bagirov, Leonid Grigoriev, Wojciech Paczynski, Vladimer Papava, Marcel Salikhov, Michael Tokmazishvili
Published in 2009
The Department of Electric Drive and Automation at Vyatka State University trains over 4,000 professionals in fields related to electric drive and automation. The department has 17 teaching staff including 2 Doctors of Science and 9 PhDs, and contains 6 laboratories equipped with modern research facilities and equipment. The department focuses on research areas such as control of nonlinear dynamic objects, electromechanical systems with semiconductor converters, computer control of thermal processes, and power savings.
The document summarizes the VI Summer School "Achievements and Applications of Contemporary Informatics, Mathematics and Physics" (AACIMP-2011) that took place in Kyiv, Ukraine from August 8-19, 2011. The summer school featured lectures and courses across four streams: Operations Research, Neuroscience, Computer Science, and Innovative Entrepreneurship & Science of Global Challenges. Notable tutors from various universities and research institutions across Europe and the US participated. Over the years the summer school has grown in international participation and now features courses taught entirely in English.
Sergey Anisimov is an innovative professional with over 7 years of research experience in fields such as graph theory, traffic theory, optimization algorithms, and smart grid algorithms. He holds a PhD in Computer Science from Nizhny Novgorod State Technical University, with his dissertation focusing on architectures for next generation computing grids and smart grids. He has published 10 papers and received 2 state registration certificates for computer programs relating to distributed control systems for electrical grids. Currently he works as a team lead and system architect developing software solutions for telecommunications and energy clients.
The Chair of Descriptive Geometry and Drawing at Vyatka State University in Kirov, Russia has 15 professorial staff and focuses on 6 main scientific areas: 1) modeling of aircraft surfaces, 2) improving electronic educational support for graphics, 3) superplastic metal forming processes, 4) vibration in machining non-rigid shafts, 5) creating spatial designs from birch bark, and 6) alternative fuels for engines. Over the years, the Chair has published works, filed patents, and educated students and staff in these applied areas of geometry, graphics, and materials engineering.
This document provides a summary of Maksym Chepeliev's personal and professional experience. It includes his contact information, education history, work experience, research projects, publications, and presentations. He has a Ph.D. from the Institute for Economics and Forecasting in Ukraine and currently works as a Research Economist at Purdue University focusing on global trade and energy modeling.
This document describes a modus, or method, for assessing the efficiency of business processes at an enterprise. It discusses groups of indicators that can characterize business process efficiency and notes that indicators should meet certain requirements to holistically reflect the process. A six-criteria approach to evaluating business process effectiveness is proposed. The SMART approach is used to reflect requirements for quantitative and qualitative indicators. Main tools and methods for business process evaluation are highlighted. Considering the requirements for indicators and evaluation methods, the author develops their own model for assessing business process efficiency.
The article discusses the feasibility of using decision support systems to improve the efficiency of project management and decision-making in organizations. Decision support systems allow collecting, analyzing large amounts of information to influence the decision-making process and predict the most optimal options for further actions. The main tasks of such systems are to assess possible alternatives based on user priorities, help analyze situations objectively, find the best solutions, determine the priorities of the decision-maker, and select the best option. The key benefits of decision support systems for project management are providing a visual representation of employee tasks, developing forecasts of possible decisions, and optimizing resource planning and management.
11(7) 2020 ITJEMAST's published research articlesdrboon
This document summarizes a research study that examined the relationship between positivity, positive affect, negative affect, and perceived stress among cardiac patients. The study hypothesized that perceived stress would mediate the relationship between positivity and positive/negative affect. Researchers surveyed 519 cardiac patients, assessing positivity, perceived stress, and positive/negative affect. The results found that perceived stress mediated the relationship between positive affect and positivity, as well as between negative affect and positivity. Specifically, positivity was negatively correlated with negative affect and perceived stress, while perceived stress was positively correlated with negative affect. The findings suggest that reducing stress and increasing positive emotions can help reduce negative feelings in cardiac patients.
The objective of this paper has been to experiment diverse economic indicators in order to help equip Ukrainian policymakers with a relatively simple tool, which could deliver warning signals about the possibility of upcoming economic problems and thereby assist the Government in designing policy instruments which would help prevent or soften a slowdown or recession.
Authored by: Vladimir Dubrovskiy, Inna Golodniuk, Janusz Szyrmer
STRATEGIES FOR THE INSTITUTIONALIZATION OF INNOVATION PRACTICES IN RUSSIAN RE...IAEME Publication
The methodology of managing the social/economic sphere in a region incorporates both general foundations and particular specific prospects for fostering innovation. The innovation trajectory in present-day Russia is aimed at enhancing quality and improving productivity, expanding the markets, boosting the population’s well-being, and opening up new vistas of opportunity. Innovation plays a key role in resolving many regional issues that, above all, are associated with social/economic life in society. Today, a major factor in fostering human capital and speeding up the pace of innovation-driven development is the use of new technology, which is crucial to creating a successful system of interaction between the government, the business sector, industry, and the scientific/technical sector. But innovation is hardly possible without employing foresight, analysis, and forecasting, as the nature of social/economic development in any region may undergo changes over time based on a focus on cultivating innovation potential. This paper examines the current situation in Volgograd Oblast with a view to bringing forward a set of recommendations on resolving the region’s existing problems.
Association of Engineering Education of Russiametamath
The Association for Engineering Education of Russia (AEER) was established in 1992 to facilitate the improvement and development of engineering education in Russia. AEER's mission is to advance engineering education through activities like research, conferences, accreditation, and publishing a journal. It has over 1,600 members across 64 regional departments. AEER works to improve engineering education standards through professional accreditation of programs and certification of engineers according to international criteria. It also promotes international cooperation through participation in global engineering organizations and conferences.
The document discusses trends, prospects, and limitations in training personnel for the agricultural sector in terms of the digital transformation of the Russian economy. It finds that while digital technologies are an important priority, the training system requires changes to adapt educational standards and programs to new competencies needed for digital agriculture. A survey of agricultural university leaders found the biggest challenges are lack of materials/facilities, qualified instructors, and developed standards. Respondents said the abilities to identify key information and think flexibly are most important for specialists. Digitalization potential varies by agricultural field.
International Journal of Data Mining & Knowledge Management Process - novemb...IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
This paper analyzes the direct and indirect income effects of international labor migration and remittances in selected CIS countries. The analysis is based on computable general equilibrium (CGE) models for Moldova, Ukraine, Georgia, Kyrgyzstan, and Russia. All net emigration countries would experience a sharp contraction of private consumption in the absence of remittances. In Russia, the main effect of immigration has been to hold down the real wage (as potential capital stock adjustments in response to immigration are not reflected in the authors comparative-static modeling framework). The paper concludes that because of the important contribution of migration and remittances to stabilizing and sustaining incomes in many CIS countries, enhanced opportunities for legal labor migration should figure prominently in any deepening of bilateral relations between CIS countries and the European Union under the European Neighborhood Policy.
Authored by: Aziz Atamanov, Toman Omar Mahmoud, Roman Mogilevsky, Kseniya Tereshchenko, Natalia Tourdyeva
Published in 2009
Ainura Uzagalieva
Vitaly Vavryschuk
ENHANCEMENT OF UNIVERSITY GRADUATES’ COMPETITIVENESS IN THE FRAMEWORK OF IMPL...IAEME Publication
The modern rapidly changing world requires adequate changes in all areas of the
global economy. These changes are significant in education since it forms the
knowledge, skills, competencies of specialists and the ability to implement them in the
modern environment, ensuring the competitiveness of university graduates both on
domestic and foreign markets. The purpose of this article is to study the advantages
and disadvantages of one form of partnership in education - the networked
educational program. Its advantage lies primarily in the synergistic effect obtained
through the use of all types of partner universities' resources, improving the program
management, attracting teachers from other universities and, as a result, in
increasing the quality of education and enhancing the competitiveness of graduates
from partner universities. An experimental data and materials, and also the main
features of the educational process and its qualitative transformation, providing
dissemination in other universities and educational programs were obtained by
authors during designing, implementing and developing the networked master
program. The content analysis of similar programs implemented in some Russian
universities was used as the research method. As a result of the research, a model for
implementing the networked master program "Entrepreneurship for the Future" was
proposed and tested
The article discusses the possibilities of using information and communication technologies to form subject competence in ecology in senior high school students. Using the software and pedagogical tool "Virtual Biological Laboratory for 10-11th grades", multimedia presentations, video clips, the electronic software and methodological complex "General Biology, 11th grade", and the online board "Padlet", a significant improvement was identified in the formation of environmental competence in senior students. Information and communication technologies can effectively support the development of ecological thinking and environmental literacy in high schoolers.
The document summarizes research activities and directions of the Faculty of Electrical Engineering at Vyatka State University of Humanities. It discusses several ongoing and proposed research projects, including:
1. Studying non-sinusoidal modes of operation and higher harmonic components in power distribution networks.
2. Developing methods to reduce voltage fluctuations caused by abruptly variable loads.
3. Evaluating reactive power compensation techniques in industrial power systems to reduce losses.
4. Studying surges in electric power systems and developing protection measures for equipment.
The faculty seeks to improve power quality and reliability, increase energy efficiency, and reduce losses through collaboration with industry partners and other universities. Expected results include models, calculations
Material Science and Technology of MaterialsVisionary_
The department was founded in 1963 and trains undergraduate and graduate students in material science and technology. Research focuses on developing new alloys with high damping capacity, including iron, zinc-aluminum, and manganese-copper alloys. Over 300 publications and several patents have resulted from this research. Future work will explore nanostructured alloys and shape memory alloys for medical applications.
The article is devoted to the problem of development and application of information
technologies in the strategic management of industrial enterprises under uncertainty
based on mathematical modeling. The purpose of the article is to develop tools that
support decision-making when choosing strategic guidelines for the development of
enterprises using economic and mathematical methods. The study of the system of
strategic management of industrial enterprises, which has the property of development,
based on the application of the methodology of system analysis. A model of the strategic
management process in the form of a logical structure containing a combined decisionmaking
procedure for solving problems, ranging from the study of the environment and
the development of the mission, and ending with the creation of economic and
mathematical tools and its use to evaluate decisions. The economic and mathematical
tools to support decision-making on the strategic guidelines for the development of
industrial enterprises in the conditions of stochastic uncertainty. As the characteristics
of the cost-effectiveness of strategies selected measure of profitability
The Economic Consultant is a quarterly peer-reviewed scientific journal.
Journal’s aim is to disseminate scientific research related to the actualization of modern socio-economic problems; to cover the latest achievements of socio-economic sciences; to consolidate the expert opinion on the problems of management development in the economic sphere.
The journal is a scientific consultant on effective public administration and regulation in various sectors of the social sphere and economy. It’s scope covers in management of innovations, labor and demographic economics, economics of education, social welfare, etc.
The report reviews key issues in energy trade and cooperation between the EU and CIS countries. It describes historical trends of oil and gas demand in the EU, other European and CIS countries and offers demand forecasts until 2030. Recent developments in oil and gas production and exports from Russia and Caspian countries are covered in detail leading to the discussion of the likely export potential of these regions. The key factors determining the production outlook, trade-offs and competition related to energy resources transportation choices are also discussed. The report also covers the interests and role of transit countries in relations between producer and consumer regions. The analytical section leads to policy recommendations that focus mainly on the EU.
Authored by: Sabit Bagirov, Leonid Grigoriev, Wojciech Paczynski, Vladimer Papava, Marcel Salikhov, Michael Tokmazishvili
Published in 2009
The Department of Electric Drive and Automation at Vyatka State University trains over 4,000 professionals in fields related to electric drive and automation. The department has 17 teaching staff including 2 Doctors of Science and 9 PhDs, and contains 6 laboratories equipped with modern research facilities and equipment. The department focuses on research areas such as control of nonlinear dynamic objects, electromechanical systems with semiconductor converters, computer control of thermal processes, and power savings.
The document summarizes the VI Summer School "Achievements and Applications of Contemporary Informatics, Mathematics and Physics" (AACIMP-2011) that took place in Kyiv, Ukraine from August 8-19, 2011. The summer school featured lectures and courses across four streams: Operations Research, Neuroscience, Computer Science, and Innovative Entrepreneurship & Science of Global Challenges. Notable tutors from various universities and research institutions across Europe and the US participated. Over the years the summer school has grown in international participation and now features courses taught entirely in English.
Sergey Anisimov is an innovative professional with over 7 years of research experience in fields such as graph theory, traffic theory, optimization algorithms, and smart grid algorithms. He holds a PhD in Computer Science from Nizhny Novgorod State Technical University, with his dissertation focusing on architectures for next generation computing grids and smart grids. He has published 10 papers and received 2 state registration certificates for computer programs relating to distributed control systems for electrical grids. Currently he works as a team lead and system architect developing software solutions for telecommunications and energy clients.
The Chair of Descriptive Geometry and Drawing at Vyatka State University in Kirov, Russia has 15 professorial staff and focuses on 6 main scientific areas: 1) modeling of aircraft surfaces, 2) improving electronic educational support for graphics, 3) superplastic metal forming processes, 4) vibration in machining non-rigid shafts, 5) creating spatial designs from birch bark, and 6) alternative fuels for engines. Over the years, the Chair has published works, filed patents, and educated students and staff in these applied areas of geometry, graphics, and materials engineering.
This document provides a summary of Maksym Chepeliev's personal and professional experience. It includes his contact information, education history, work experience, research projects, publications, and presentations. He has a Ph.D. from the Institute for Economics and Forecasting in Ukraine and currently works as a Research Economist at Purdue University focusing on global trade and energy modeling.
This document describes a modus, or method, for assessing the efficiency of business processes at an enterprise. It discusses groups of indicators that can characterize business process efficiency and notes that indicators should meet certain requirements to holistically reflect the process. A six-criteria approach to evaluating business process effectiveness is proposed. The SMART approach is used to reflect requirements for quantitative and qualitative indicators. Main tools and methods for business process evaluation are highlighted. Considering the requirements for indicators and evaluation methods, the author develops their own model for assessing business process efficiency.
The article discusses the feasibility of using decision support systems to improve the efficiency of project management and decision-making in organizations. Decision support systems allow collecting, analyzing large amounts of information to influence the decision-making process and predict the most optimal options for further actions. The main tasks of such systems are to assess possible alternatives based on user priorities, help analyze situations objectively, find the best solutions, determine the priorities of the decision-maker, and select the best option. The key benefits of decision support systems for project management are providing a visual representation of employee tasks, developing forecasts of possible decisions, and optimizing resource planning and management.
11(7) 2020 ITJEMAST's published research articlesdrboon
This document summarizes a research study that examined the relationship between positivity, positive affect, negative affect, and perceived stress among cardiac patients. The study hypothesized that perceived stress would mediate the relationship between positivity and positive/negative affect. Researchers surveyed 519 cardiac patients, assessing positivity, perceived stress, and positive/negative affect. The results found that perceived stress mediated the relationship between positive affect and positivity, as well as between negative affect and positivity. Specifically, positivity was negatively correlated with negative affect and perceived stress, while perceived stress was positively correlated with negative affect. The findings suggest that reducing stress and increasing positive emotions can help reduce negative feelings in cardiac patients.
The objective of this paper has been to experiment diverse economic indicators in order to help equip Ukrainian policymakers with a relatively simple tool, which could deliver warning signals about the possibility of upcoming economic problems and thereby assist the Government in designing policy instruments which would help prevent or soften a slowdown or recession.
Authored by: Vladimir Dubrovskiy, Inna Golodniuk, Janusz Szyrmer
STRATEGIES FOR THE INSTITUTIONALIZATION OF INNOVATION PRACTICES IN RUSSIAN RE...IAEME Publication
The methodology of managing the social/economic sphere in a region incorporates both general foundations and particular specific prospects for fostering innovation. The innovation trajectory in present-day Russia is aimed at enhancing quality and improving productivity, expanding the markets, boosting the population’s well-being, and opening up new vistas of opportunity. Innovation plays a key role in resolving many regional issues that, above all, are associated with social/economic life in society. Today, a major factor in fostering human capital and speeding up the pace of innovation-driven development is the use of new technology, which is crucial to creating a successful system of interaction between the government, the business sector, industry, and the scientific/technical sector. But innovation is hardly possible without employing foresight, analysis, and forecasting, as the nature of social/economic development in any region may undergo changes over time based on a focus on cultivating innovation potential. This paper examines the current situation in Volgograd Oblast with a view to bringing forward a set of recommendations on resolving the region’s existing problems.
Association of Engineering Education of Russiametamath
The Association for Engineering Education of Russia (AEER) was established in 1992 to facilitate the improvement and development of engineering education in Russia. AEER's mission is to advance engineering education through activities like research, conferences, accreditation, and publishing a journal. It has over 1,600 members across 64 regional departments. AEER works to improve engineering education standards through professional accreditation of programs and certification of engineers according to international criteria. It also promotes international cooperation through participation in global engineering organizations and conferences.
The document discusses trends, prospects, and limitations in training personnel for the agricultural sector in terms of the digital transformation of the Russian economy. It finds that while digital technologies are an important priority, the training system requires changes to adapt educational standards and programs to new competencies needed for digital agriculture. A survey of agricultural university leaders found the biggest challenges are lack of materials/facilities, qualified instructors, and developed standards. Respondents said the abilities to identify key information and think flexibly are most important for specialists. Digitalization potential varies by agricultural field.
International Journal of Data Mining & Knowledge Management Process - novemb...IJDKP
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.
This paper analyzes the direct and indirect income effects of international labor migration and remittances in selected CIS countries. The analysis is based on computable general equilibrium (CGE) models for Moldova, Ukraine, Georgia, Kyrgyzstan, and Russia. All net emigration countries would experience a sharp contraction of private consumption in the absence of remittances. In Russia, the main effect of immigration has been to hold down the real wage (as potential capital stock adjustments in response to immigration are not reflected in the authors comparative-static modeling framework). The paper concludes that because of the important contribution of migration and remittances to stabilizing and sustaining incomes in many CIS countries, enhanced opportunities for legal labor migration should figure prominently in any deepening of bilateral relations between CIS countries and the European Union under the European Neighborhood Policy.
Authored by: Aziz Atamanov, Toman Omar Mahmoud, Roman Mogilevsky, Kseniya Tereshchenko, Natalia Tourdyeva
Published in 2009
Ainura Uzagalieva
Vitaly Vavryschuk
ENHANCEMENT OF UNIVERSITY GRADUATES’ COMPETITIVENESS IN THE FRAMEWORK OF IMPL...IAEME Publication
The modern rapidly changing world requires adequate changes in all areas of the
global economy. These changes are significant in education since it forms the
knowledge, skills, competencies of specialists and the ability to implement them in the
modern environment, ensuring the competitiveness of university graduates both on
domestic and foreign markets. The purpose of this article is to study the advantages
and disadvantages of one form of partnership in education - the networked
educational program. Its advantage lies primarily in the synergistic effect obtained
through the use of all types of partner universities' resources, improving the program
management, attracting teachers from other universities and, as a result, in
increasing the quality of education and enhancing the competitiveness of graduates
from partner universities. An experimental data and materials, and also the main
features of the educational process and its qualitative transformation, providing
dissemination in other universities and educational programs were obtained by
authors during designing, implementing and developing the networked master
program. The content analysis of similar programs implemented in some Russian
universities was used as the research method. As a result of the research, a model for
implementing the networked master program "Entrepreneurship for the Future" was
proposed and tested
The article discusses the possibilities of using information and communication technologies to form subject competence in ecology in senior high school students. Using the software and pedagogical tool "Virtual Biological Laboratory for 10-11th grades", multimedia presentations, video clips, the electronic software and methodological complex "General Biology, 11th grade", and the online board "Padlet", a significant improvement was identified in the formation of environmental competence in senior students. Information and communication technologies can effectively support the development of ecological thinking and environmental literacy in high schoolers.
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Mathematical Modeling in Economics
1. ВЯТСКИЙ ГОСУДАРСТВЕННЫЙ УНИВЕРСИТЕТ
«Роль ВятГУ в развитии
биотехнологии
Кировской области»
Пименов Евгений Васильевич
II Международная конференция
биотехнологов «Международное
сотрудничество и развитие
биотехнологий в Кировской области»
Faculty of Economics and
Management
Department of Mathematical Modeling in
Economics
Ph.:64-48-16, site:www.mme.vyatsu.ru
2. GRADUATE of the Department of mathematical
modeling in economics -
is qualified as:
"Economist-mathematician", Bachelor
"business informatics" profile
"Mathematical and tool methods of
economy", and can work in enterprises
of any form of property and any profile.
He has a competitive advantage by using the
latest software tools, combining the fruitful
implementation of the system dynamics
methods ("system dynamics") with successful
attempts to put into practice the dynamic
business models based on the fundamental
ideas of modern science.
3. Mathematical Methods in
Economics
That is ABILITY of modeling and mathematical
analysis of economic problems;
That is KNOWLEDGE of processes and
functional management schemes;
That is USE of efficient algorithms in problems of
management optimization;
That is APPLICATION of computer processing
and data mining;
That is TECHNOLOGY of modern specialized
mathematical and analytical packages and
programs;
That is PARTICIPATION in the research work at
national and international levels.
4. Research work
• Application of the methods of nonlinear dynamics in economic
and mathematical modeling (econophysics) - Head of the
Department, Dr. A.V. Shatrov.
• High-performance computing in the mathematical modeling of
economy and ecology. Ph.D., Associate professor in VyatSU
N.N. Olenev
• Modern methods of statistical analysis, data mining and financial
trading - Assistant Professor, Ph.D. V.N. Nikulin, V.A. Zarechnev
• Simulation of logistics systems analysis and socio-economic
systems – Dr D.S. Sarancha and Assistant professor, PhD I.G.
Lukinykh
Применение аддитивной тренд-сезонной модели
0
2000000
4000000
6000000
8000000
10000000
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
квартал
сезонные колебания
исходные данные
5. Projects, carried out by the department
• FASI grant (project number 2006 -RI-24.0/006 state contract 02.449.11.7026) Study
of innovative potential of the Kirov region, 2006
• Implementation of projects in the DCI mathematical modeling of airborne
contaminants in the atmospheric boundary layer, 2007-08
• Implementation of the project in AVTSP "New Information Technologies of
mathematical modeling of a developing economy based on high-performance
computing cluster system LDCs" - 2010-12
• Implementation of the project in AVTSP "Creating models and algorithms for the
analysis and forecasting of emerging regional economy based on high-performance
computing cluster systems" - 2012-14
• Implementation of the project "Establishment of a hydrodynamic model for the
prediction of the consequences of potential accidents associated with the receipt of
pollutants in the Vyatka river“
• Organization of the Scientific Conference "Mathematical modeling of a developing
economy and ecology" ECOMOD-2006, 07, 08, 09, 10, 11, 12
6. Applications for grants
• Russian Foundation for Basic Research (RFBR). Finished studies (projects
05-07-90383-v, 07-01-00473, 07-01-06048, 09-01-06068-g, 10-01-06052-
g, 10-06-09282-mob_z , 10-01-90723 - mob _ st, 11-01-06015-g, 12-01-
06056-g)
• Participation in RFBR projects 08-01-00473-a, 09-01-00377-a, 09-02-
61201-A / TВ
• In 2007-10 received 5 grants Intel, MathWork, MicroSoft to improve the
skills and receive training on Parallel Programming
7. Scientific Conferences
• Participation in the symposium Intel-Russia, PaVT-2006,
2007, 2009, 2010, 2011 (N-Novgorod, St. Petersburg,
Kazan, Chelyabinsk), HPC-2008 (Kazan), MCE (Dubna,
Pushchino), EAC2009 Karlsruhe (Germany) , CeBIT-2011
(Germany), CEDIMES-2010 (Canada), CEDIMES-2012
(Paris), JRS 2012 (China), WWCC-2012 (Australia)
• Participation with a report in the International Meeting of
Nobel Laureates 2009 (St. Petersburg)
• Participated in 10 exhibitions (Kirov:1st Industrial
Exhibition, 2005, 2-nd, 3-rd and 4-th Regional Trade
Information Resource - 2005, 2006,2007, 4-th Exhibition -
Fair Kirovstat, 2005, 1 - Exhibition "Logistics. Transport -
2006", “Educational Environment 2005", "Innovation
2008", Moscow, CeBIT-2011, Hannover).
8. Publications
• Shatrov А.V. Limit cycles, bifurcations and ducks in the interpretation of the dynamic
interaction of business structures. – Izvestia, 6 (26), 2006, pp. 141-150.
• Glushkov V.N., Nedostupov E.V., Sarancha D.А., Yufereva I.V. Several problems in
quantitative ecology. - Dynamics of heterogeneous systems. - 31(1). - M.: 2007. – pp.
343-351.
• Lipilin А.V. Current trends in the CTP market as a potential risk to the functioning and
stable development of the transport system of Russia. - Reforms in Russia and
management issues - 2008: 23rd Scientific Conference of young scientists and students.
4, The State University of Management - Moscow State University of Management,
2008. - pp.235-237.
• Оlenev N.N., Phetinina А.I. Parallel computing in the identification of the Vyatka region
dynamic model. - Bulletin of the Nizhny Novgorod University, 2009. N 6 (1), pp.184-
191.
• Shatrov А.V., Shvartz К.G. Numerical simulation of the effects of mesoscale
atmospheric transfer processes in the vicinity of Kirov. - Computational Technologies in
continuum mechanics, number 3, 2010, pp. 117-125.
• Pimenov Е.V., Shatrov А.V. Criterion-parametric analysis of a mathematical model of
the immune system. - Bulletin of the Ural academia 2/1, 2010, pp. 189-190.
• Кoshcheev А.V., Оlenev N.N. Modeling the interaction of regional systems using
parallel computing. - Vol 2, № 1 (15), 2010, pp. 92-97.
9. Publications
• Olenev N.N., Phetinina А.I. Economic Modeling of the Kirov region using parallel
computing technologies. - Scientific and technical bulletin, January-February 2010, № 1
(65), pp.108-113.
• Chuchkalova S.V. The impact of demographic processes on the regional economy. -
Federalism, № 1, 2010, pp.256-264.
• Chuchkalova S.V., Starodumova О.Yu. Modeling of demographic processes in the Kirov
region. - The economy of the region, № 4, 2010, pp. 220-224.
• Chuckalova S.V. Influence of demographic processes on economy of a region. - The
economy of the region, №4, 2010, pp.225-228.
• Chuchkalova S.V. Problems of population size reducing.- Federalism, № 4, 2010, pp.204-
210.
• Zhukovskaya I.N., Kudryavtseva Yu.V., Chuprov А.V, Shatrov А.V. Physical model of
the pathogenesis of the syndrome of "dry eye" associated with wearing soft contact lenses.
- Modern technologies in medicine. - 2010, № 2. - pp. 79-81.
• Barabashev А.V., Barantsev R.G., Vechtomov Е.М., Shatrov А.V. Mathematics and
reality. - Bulletin of the Vyatka State University of Humanities, 2011. - № 1 (1). - pp. 6-27
• Sarancha D.S., Nedostupov E.V., Chigerev Е.N., Yurezanskaya Yu.S. About some
properties of one-dimensional unimodal maps. - Reports of the Academy of Sciences, vol.
430, № 1, 2010, pp.1-6.
10. Publications
• Aprausheva N.N., Sarancha D.A., Sorokin S.V. About functional dependence of micro-
relief and soil density in the semi-desert of the Northern Caspian. - Proceedings of the
Institute for Systems Analysis. 50 (1). The dynamics of heterogeneous systems. 2010.
pp.148 -151
• Bibik V.Yu., Sarancha D.A. The canonical variables for some biological models. -
Mathematical modeling, 2010. Volume 22, № 3, pp.120-144.
• Lopatin А.N., Sarancha D.А., Sudnitsyn I. I. Mathematical analysis of the effect of soil gas
phase on the vegetation. - PROGRESS OF MODERN BIOLOGY, 2010, Volume 130, №
5, pp. 474-483.
• Gergel V.P., Gorbachyov V.А., Olenev N.N., Ryabov V.V., Sidorov S.V. Parallel global
optimization methods in the identification of the regional economy dynamic balance
normative model. - Vestnik, № 25 (242), 2011. pp.4-15. (Series "Mathematical modeling
and programming", 9).
• Nabokikh А.V., Ryattel А.V. Foreign experience management market development of
cultivated mushrooms. - Kazan Science in 2011. - № 11. - pp.135-138.
• Оkhapkin V.P. On the role of the financial security of the banking system in the country's
economic security: methodological framework solutions. Actual Problems of Economics
and Law, № 4, 2012.
• Оkhapkin V.P., Shatrov А.V. Optimal management of investment funds of the bank as a
factor of economic stability. - Computer studies and modeling. - 2012, Volume 4, № 4. -
pp.961-969
• Nikulin V.N., Zubareva D.S., Palesheva S.А. On homogeneous ensembles using the
method of boosting in the appendix to the classification of unbalanced data. - Bulletin of
the Perm State National University. Economics, № 1 January 2013, pp. 6-22.
11. Publications in international journals
• Nikulin V. and McLachlan G.J. (2010) On the gradient-based algorithm for matrix
factorisation applied to dimensionality reduction. In Proceedings of BIOINFORMATICS
2010, Edited by Ana Fred, Joaquim Filipe and Hugo Gamboa, Valencia, Spain, pp. 147-
152.
• Wojnarski M., Janusz A., Nguyen H.-S., Bazan J., Luo C., Chen Z., Hu F., Wang G., Guan
L., Luo H., Gao J., Shen Y., Nikulin V., Huang T.-H., McLachlan G.J., Bosnjak M. and
Gamberger D. (2010) RSCTC'2010 Discovery Challenge: Mining DNA Microarray Data
for Medical Diagnosis and Treatment. In M. Szczuka et al. (Eds.): RSCTC 2010, LNAI
6086, Springer, Heidelberg, p. 4-19.
• Nikulin V. and McLachlan G.J. (2010) Penalized principal component analysis of
microarray data. In P. Masulli, L. Peterson and R. Tagliaferri. (Eds.): CIBB 2009, LNBI
6160, Springer-Verlag, Berlin Heidelberg, pp. 82-96.
• Huang T.-H., Nikulin V. and McLachlan G.J. (2010) On Relations between Genes and
Metagenes Obtained via Gradient-Based Matrix Factorization. In 2010 IEEE/ICME
International Conference on Complex Medical Engineering July 13-15, 2010, Gold Coast,
Australia Crowne Plaza Surfers Paradise Hotel, Editors: Yan Li, Jiajia Yang, Peng Wen
and Jinglong Wu, pp. 82-96.
• Nikulin V. and McLachlan G.J. (2010) Identifying fiber bundles with regularised k-means
clustering applied to the grid-based data. In WCCI 2010 IEEE World Congress on
Computational Intelligence July, 18-23, 2010 - CCIB, Barcelona, Spain, pp. 2281-2288.
• Nikulin V. (2010) Web-mining with Wilcoxon-based feature selection, ensembling and
multiple binary classifiers. ECML/PKDD Workshop and Conference Proceedings,
Discovery Challenge. Editors: Andras Benczur, Carlos Castillo, Zoltan Gyongyi and Julien
Masanes ,Barcelona, Spain. 9 pages.
12. Publications in international journals
• Nikulin V., Huang T.-H., and McLachlan G.J. (2010) A Comparative Study of Two Matrix
Factorization Methods Applied to the Classification of Gene Expression Data. In
Proceedings of 2010 IEEE International Conference on Bioinformatics and Biomedicine,
Editors: T. Park, L. Chen, L. Wong, S. Tsui, M. Ng and X. Hu, pp. 618-621.
• Nikulin V. (2010) An Algorithm to Estimate a Nonuniform Convergence Bound in the
Central Limit Theorem, 16 pages. Library of the Cornell University, USA,
http://arxiv.org/abs/1004.0552.
• Nikulin V. (2010) On the Exponential Probability Bounds for the Bernoulli Random
Variables, 21 pages. Library of the Cornell University, USA,
http://arxiv.org/abs/1004.1862.
• Nikulin V. and McLachlan G.J. (2010) Strong Consistency of Prototype Based Clustering
in Probabilistic Space, 13 pages.Library of the Cornell University, USA.
http://arxiv.org/abs/1004.3101.
• Nikulin V. (2010) Mean-Variance Hedging for Pricing European Options Under
Assumption of Non-continuous Trading, 17 pages. Library of the Cornell University,
USA. http://arxiv.org/abs/1004.4400.
• Nikulin V., Huang T.-H., and McLachlan G.J. (2011) Classification of high-dimensional
microarray data with a two steps procedure via a Wilcoxon criterion and multilayer
perceptron. International Journal of Computational Intelligence and Applications, 10(1),
pp. 1-14.
• Nikulin V., Huang T.-H., Ng S.-K., Rathnayake S. and McLachlan G.J. (2011) A Very
Fast Algorithm for Matrix Factorization. Statistics and Probability Letters, 81, pp.773-782.
13. Publications in international journals
• Nikulin V. (2011) Classification with Random Sets, Boosting and Distance-based
Clustering. Chapter in the Book "Hands-On Pattern Recognition, Challenges in data
representation, model selection, and performance prediction", Editors: Isabelle Guyon,
Gavin Cawley, Gideon Dror, Amir Saffari and Nicola Talbot, pp. 231-258.
• Nikulin V. (2011) On the Evaluation Criterions for the Active Learning Processes, 13
pages. Library of the Cornell University, USA. http://arxiv.org/abs/1108.0453.
• Nikulin V. (2011) OpenStudy: recommendations of the following ten lectures after
viewing a set of three given lectures. ECML/PKDD Workshop and Conference
Proceedings, Discovery Challenge. Editors: Tomislav Smuc, Nino Antulov-Fantulin,
Mikołaj Morzy, рр. 59-70.
• Nikulin V. and Huang T.-H. (2012) Unsupervised dimensionality reduction via gradient-
based matrix factorization with two learning rates and their automatic updates. Journal of
Machine Learning Research, Workshop and Conference Proceedings, V.27, pp.181-195.
• Bakharia A. and Nikulin V. (2012) A nonparametric criterion for the selection of the
number of factors and nonnegative extension for gradient-based matrix factorization
applied to the classification of microarray data. World Congress on Computational
Intelligence, June 10-15, Brisbane, Australia, pp. 3253-3260.
• Nikulin V. (2012) On the Homogeneous Ensembling with Balanced Random Sets and
Boosting. JRS 2012, Chengdu, China. LNAI Springer 7413, J.T.Yao et.al. (Eds.), pp. 180-
189.
• Nikulin V. (2012) On the Homogeneous Ensembling via Balanced Subsets Combined with
• Wilcoxon-based Feature Selection. JRS 2012, Chengdu, China. LNAI Springer 7413,
J.T.Yao et.al. (Eds.), pp. 455-462.
14. Publications in international journals
• Nikulin V. (2012) On the solution for the high-dimensionality-small-sample-size problem.
International Journal of Data Mining and Bioinformatics.
• Nicholas Olenev A Simulation Game of Economically Interacting Countries // Symposium
of the Journal of Business and Economics in Times of Crisis 2012. 16th to 17th August
2012. Munich, Bavaria, Germany.
• Nicolas N. Olenev, Anatoly V. Shatrov Technology of High Performance Computing in
Research of Innovation Sector Impact on the Efficiency and Development for Regional
Economy (Exponent of International Exposition). - Catalog of International IT Exposition
CeBIT 2011, Hannover, Germany
• Shatrov A.V., Shvarts K.G. Numerical Modeling of Mesoscale Atmospheric Impurity
Transport Processes in the Environs of the City of Kirov . - Fluid Dynamics, 2011, Vol.
46, No 2, pp. 333-340
• Shatrov A.V., Shvarts K.G. Simulation of transport processes of aerosol impurity in a
ground boundary layer of above industrial centers. - European Aerosol Conference EAC-
2009, Karlsrue, Germany, 6-11 September 2009/ Topics of section TA-1
• Shatrov A.V., Shklyaev V.A., Shvarts K.G. Modeling of mesoscale vortices structure near
to a powerful hot source of impurity in a boundary layer of atmosphere . - European
Aerosol Conference EAC-2009, Karlsrue, Germany, 6-11 September 2009/ Topics of
section TD-14
15. Students achievements in scientific
activities
• April 2008 – Diploma for the best reports on the I All-Russian
School of Parallel Programming (St. Petersburg);
• May 2008 - Participation in the All-Russian competition on
mathematical modeling in economics (Ufa) - 5th place;
• May 2008 – 1st place in the competition of Stock Commercial Bank
"Ak Bars";
• Participation in the International students competition
"Entrepreneurship and Management" -2006, 2007,
2008,2009,2010,2011,2012 (section "Operations Research and
Mathematical Methods in Economics» I, II, III in various categories)
• October 2008 – 1st place in the International Olympiad for Research
in Economics (St. Petersburg);
• November 2008 – 1st place in the contest "The external reserve“;
• December 2008 – 1st place in the contest for young scientists in
Dolgoprudniy (Koshcheev A.V., Okhapkin V.P.);
• February 2009 – Kirov Board of Rectors scholarship;
• 2011 – President of the Russian Federation scholarship (Dolmatova
A.I.)
• 2012 – E.T. Gaydar Foundation scholarship (Maltsev K.)
• 2012 – Winner diploma in the contest of young scientists, University
of Amsterdam (Maltsev K.)