Vladimir Soloviev

• Head of Department at Kryvyi Rih State Pedagogical University, Kryvyi Rih, Ukraine

Multifractal properties of acrylated epoxidized soybean oil with and without a photoinitiator have been investigated. Using multifractal detrended fluctuation analysis, the photopolymerization process is analyzed by varying illumination duration and intensity. The research is conducted in two stages: the results concerning temperature fluctuations...

The textbook covers the main theoretical and instrumental aspects of complex systems modeling of different nature using the interactive web application Jupyter Notebook. For discrete data in the form of time series, modern interdisciplinary methods for complexity quantification have been developed and adapted: (multi-)fractal, recurrence, informati...

In this work, the influence of aromatic rings on the local free volume of cured mixtures of acrylate epoxidized soybean oil (AESO) and vanillin dimethacrylate (VDM) was investigated. Cross-linking took place under the influence of UV light in the presence or absence of a photoinitiator. The local free volume and its homogeneity were characterized u...

The energy market is characterized by unstable price dynamics, which challenge the quantitative models of pricing processes and result in abnormal shocks and crashes. We use recurrence quantification analysis (RQA) to analyze and construct indicators of intermittent events in energy indices, where regular patterns are interrupted by chaotic fluctua...

Network analysis is a powerful method to characterize the complexity and dynamics of socioeconomic systems. However, traditional network analysis often ignores the higher-order dependencies that arise from the interactions of more than two nodes. In this paper, we propose to use high-order networks, which are generalized network structures that cap...

The process of plastic deformation of steel DC04 is considered a complex, non-linear, irreversible, and self-organized process. An analysis of the irreversibility of the stress-strain time series makes it possible to identify characteristic areas of (quasi-)elastic, plastic deformation, and necking. The last two sections are the most informative. T...

The main factor determining the functioning of the track biosensor is the influence of the composition of an ionic liquid flowing through the track on the ion current density at a certain external voltage. When any contamination enters the ionic liquid flowing through the track, the current density changes. This change determines the sensitivity of...

Plastic deformation of DC04 steel is regarded as a nonlinear, complex, irreversible, and self-organized process. The stress–strain time series analysis provided the possibility to identify areas of (quasi-)elastic deformation, plastic deformation, and necking. The latter two regions are the most informative. The area of inelastic deformation is ref...

The hybrid periodic mesoporous organosilica (PMO) with APTES/DAR Schiff-based precursor 3-aminopropyltriethoxysilane (APTES) and 4,6-diacetylresorcinol (DAR) was synthesized in the presence of a structure-directing agent cetyltrimethylammonium bromide and tetraethoxysilane. Then, Pd (II) ions, as well as Pd nanoparticles, were incorporated inside t...

The article supports the need for training techniques for neural network computer simulations in a spreadsheet context. Their use in simulating artificial neural networks is systematically reviewed. The authors distinguish between fundamental methods for addressing the issue of network computer simulation training in the spreadsheet environment, jo...

In this paper, at the first time, the analysis of correlational and non-extensive properties of the \(\text {CO}_{2}\) emission market relying on the carbon emissions futures time series for the period 04.07.2008–10.05.2021 is performed, and the daily data of the power sector from the U.S. Carbon Monitor for the period 01.01.2019–10.05.2021, which...

Proceedings of the XV International Conference on Mathematics, Science and Technology Education (ICon-MaSTEd 2022) 18-20 May 2022, Kryvyi Rih, Ukraine

This paper represents a preface to the Proceedings of the XIV International Conference on Mathematics, Science and Technology Education (ICon-MaSTEd 2022) held at the Kryvyi Rih State Pedagogical University, Ukraine, 18-20 May 2022. Background information and the organizational structure of the meeting, proceedings structure, and acknowledgments of...

Based on the analysis of sources on the problem of research, the article defines types of electronic educational resources (EER), general requirements for them, focuses on didactic and methodological requirements and existing holistic systems of psychological and pedagogical requirements for EER, presents the main types of parameters that can be us...

The article deals with the problem of strengthening the social dimension of higher education. It discusses the definition of social dimension, its indicators, models of student retention and student engagement. The article argues that students should act as active researchers of the topic of social dimension and present the ways to update the conte...

Synergetics as a scientific area of research is in demand by society. The context of synergetics makes it possible for scientists of different specializations to interact fruitfully in the language of systematic understanding and search for new solutions. The presented work raises the question of how the theory of self-organization can help in the...

Practical training is an integral part of the professional training of future teachers. During the practical training, trainees not only implement their own theoretical training in practice, but also increase the level of information competence. The rapid use of e-learning resources for distance learning during epidemiological constraints caused by...

The article presents the technology of application of 3D models of electrical engineering in the performing laboratory work. It was outlined the organizational and methodological conditions, forms and methods, learning tools of the proposed technology. The organizational and methodological conditions include the use of computer 3D models in laborat...

This is an introductory text to a collection of selected papers from the 9th Illia O. Teplytskyi Workshop on Computer Simulation in Education (CoSinE 2021), held in Kherson, Ukraine, on the October 1, 2021. The volume presents the contributions to the workshops affiliated with the ICTERI 2021: the 17th International Conference on ICT in Education,...

Proceedings of the 9th Illia O. Teplytskyi Workshop on Computer Simulation in Education (CoSinE 2021) co-located with 17th International Conference on ICT in Education, Research, and Industrial Applications: Integration, Harmonization, and Knowledge Transfer (ICTERI 2021), Kherson, Ukraine, October 1, 2021

This is an introductory text to a collection of selected papers from the 4th Workshop for Young Scientists in Computer Science & Software Engineering (CS&SE@SW 2021), which was held in Kryvyi Rih, Ukraine, on the December 18, 2021. It consists of short summaries of selected papers and some observations about the event and its future.

Proceedings of the 4th Workshop for Young Scientists in Computer Science & Software Engineering (CS&SE@SW 2021), Virtual Event, Kryvyi Rih, Ukraine, December 18, 2021

Regulatory actions aimed the sustainable development force ordinary traders, policymakers, institutional investors to develop new types of risk management strategies, seek better decision-making processes that would allow them more effectively reallocate funds when trading and investing in energy markets such as oil and gas. Due to their supply and...

The instability of the price dynamics of the energy market from a theoretical point of view indicates theinadequacy of the dominant paradigm of the quantitative description of pricing processes, and from a practicalpoint of view, it leads to abnormal shocks and crashes. Through the recurrence quantification analysis, weanalyze and construct indicat...

Network analysis has proven to be a powerful method to characterize complexity in socio-economic systems, and to understand their underlying dynamical features. Here, we propose to characterize the temporal evolution of higher-order dependencies within the framework of high-order networks. We test the possibility of financial crashes identification...

The fundamental question that must be answered by any theory of knowledge that claims to be adequate is the question of how it is possible to change our knowledge. The very fact of change undoubtedly takes place, and the problem is to theoretically explicate this fact. The methodological signicance of this issue is due to the fact that changing kn...

Computer vision systems since the early 1960s have undergone a long evolution and are widely used in various fields, in particular, in education for the implementation of immersive educational resources. When developing computer vision systems for educational purposes, it is advisable to use the computer vision libraries based on deep learning (in...

Proper design is the basis for the success of any application development, regardless of industry and field of application. This fully applies to both software design and learning design. Designing e-learning resources is a hybrid activity that significantly increases risks due to the speed of technological change. The risks are even greater when i...

The focus of this study to measure the varying irreversibility of stock markets. A fundamental idea of this study is that financial systems are complex and nonlinear systems that are presented to be non-Gaussian fractal and chaotic. Their complexity and different aspects of nonlinear properties, such as time irreversibility, vary over time and for...

Cryptocurrencies refer to a type of digital asset that uses distributed ledger, or blockchain technology to enable a secure transaction. Like other financial assets, they show signs of complex systems built from a large number of nonlinearly interacting constituents, which exhibits collective behavior and, due to an exchange of energy or informatio...

Proceedings of the Selected and Revised Papers of 9th International Conference on Monitoring, Modeling & Management of Emergent Economy (M3E2-MLPEED 2021). Odessa, Ukraine, May 26-28, 2021

This is an introductory text to a collection of selected papers and revised from the M3E2 2021: 9th International Conference on Monitoring, Modeling & Management of Emergent Economy, which held in Odessa National University of Economics, Odessa, Ukraine, on the May 26-28, 2021. It consists of introduction, conference review and some observations ab...

The article provides an overview of the origins and current state of machine vision systems, examples of machine vision problems. The article describes the use of computer vision systems in education in both conventional and pandemic conditions. The COVID-19 pandemic has triggered changes in education that have modified existing educational applica...

This study, for the first time, presents the possibility of using fuzzy settheory in combination with information theory and recurrent analysisto construct indicators (indicators-precursors) of crisis phenomena incomplex nonlinear systems. In our study, we analyze the 4 mostimportant crisis periods in the history of the stock market – 1929,1987, 20...

This paper represents a preface to the Proceedings of the XIII International Conference on Mathematics, Science and Technology Education (ICon-MaSTEd 2021) held at the Kryvyi Rih State Pedagogical University, Ukraine, 12{14 May 2021. Background information and the organizational structure of the meeting, paper overview and acknowledgments of the co...

Cryptocurrencies refer to a type of digital asset that uses distributed ledger, or blockchain technology to enable a secure transaction. Like other financial assets, they show signs of complex systems built from a large number of nonlinearly interacting constituents, which exhibits collective behavior and, due to an exchange of energy or informatio...

The focus of this study to measure the varying irreversibility of stock markets. A fundamental idea of this study is that financial systems are complex and nonlinear systems that are presented to be non-Gaussian fractal and chaotic. Their complexity and different aspects of nonlinear properties, such as time irreversibility, vary over time and for...

This is an introductory text to a collection of papers from the M3E2 2021: 9th International Conference on Monitoring, Modeling & Management of Emergent Economy, which held in Odessa National University of Economics, Odessa, Ukraine, on the May 26-28, 2021. It consists of short introduction, conference review and some observations about the event a...

This article represents the proceedings of the XII International Conference on Mathematics, Science and Technology Education (ICon-MaSTEd 2020) held at the Kryvyi Rih State Pedagogical University, Ukraine, 15–17 October 2020. Background information and the organizational structure of the meeting, a summary of the papers, and acknowledgements of the...

This is an introductory text to a collection of selected papers from the 3rd Workshop for Young Scientists in Computer Science & Software Engineering (CS&SE@SW 2020), which was held in Kryvyi Rih, Ukraine, on the November 27, 2020. It consists of short summaries of selected papers and some observations about the event and its future.

The rapidly evolving coronavirus pandemic brings a devastating effect on the entire world and its economy as a whole. Further instability related to COVID-19 will negatively affect not only on companies and financial markets, but also on traders and investors that have been interested in saving their investment, minimizing risks, and making decisio...

The training of pre-service mathematics teachers is a complex process due to the specifics of the field. Informatization of education affects all the areas, and pre-service mathematics teachers can not be left out. The article is devoted to the problem of supporting the process of professional training of pre-service mathematics teachers by means o...

This paper represents a preface to the Proceedings of the XII International Conference on Mathematics, Science and Technology Education (ICon-MaSTEd 2020) held at the Kryvyi Rih State Pedagogical University, Ukraine, 15–17 October 2020. Background information and the organizational structure of the meeting, and acknowledgements of the contributions...

Machine learning is now widely used almost everywhere, primarily for forecasting. In the broadest sense, the machine learning objective may be summarized as an approximation problem, and the issues solved by various training methods can be reduced to finding the optimal value of an unknown function or restoring a function. At the moment, we have on...

This article is an attempt to rethink the concepts of “methodic” and “methodologic / methodical system” as basic to educational technology. What should be the structure of a methodical system? What is primary – the methodical system or the methodology? How are methodical systems created and developed? How do educational technology and a methodical...

The instability of the price dynamics of the energy market from a theoretical point ofview indicates the inadequacy of the dominant paradigm of the quantitative description of pricing processes, and from a practical point of view, it leads to abnormal shocks and crashes. A striking example is the COVID-stimulated spring drop of spot prices for crud...

The presented paper raises the question of how the principles of Education 4.0 and the theory of self-organization (synergetics) can help in the reformation of the higher education system, and how interdisci-plinary research can be useful for both teachers and students. In this paper, we give a brief review of differentstudies devoted to Education...

The frequent financial critical states that occur in our world, during many centuries have attracted scientists from different areas. The impact of similar fluctuations continues to have a huge impact on the world economy, causing instability in it concerning normal and natural disturbances [1]. The anticipation , prediction, and identification of...

The research aims to theoretically justify and experimentally verify selection of mobile ICT for learning informatics to future professionals in engineering pedagogy. The research tasks include selecting groups of informatics subjects and mobile ICT tools for learning future professionals in engineering pedagogy. The research object involves select...

The purpose of the study is to highlight the theoretical and methodological aspects of preparing the test questions of the most common types in the form of text files for further import into learning management system (LMS) Moodle. The subject of the research is the automated filling of the Moodle LMS test database. The objectives of the study: to...

In this paper, the possibility of using some econophysical methods for quantitative assessment of complexity measures: entropy (Shannon, Approximate and Permutation entropies), fractal (Multifractal detrended fluctuation analysis-MF-DFA), and quantum (Heisenberg uncertainty principle) is investigated. Comparing the capability of both entropies, it...

This is an introductory text to a collection of selected papers from the M3E2 2020 Summer: The Special Edition of International Conference on Monitoring, Modeling & Management of Emergent Economy, which was held in Odessa, Ukraine, on the July 13-18, 2020. It consists of short introduction and some observations about the event and its future.

The article considers the possibility of analyzing the dynamics of changes in the characteristics of time series obtained on the basis of recurrence plots. The possibility of using the studied indicators to determine the presence of critical phenomena in economic systems is considered. Based on the analysis of economic time series of different natu...

Our study is devoted to the problems of the short-term forecasting cryptocurrency time series using machine learning (ML) approach. Focus on studying of the financial time series allows to analyze the methodological principles, including the advantages and disadvantages of using ML algorithms. The 90-day time horizon of the dynamics of the three mo...

The article substantiates the necessity to develop training methods of computer simulation of neural networks in the spreadsheet environment. The systematic review of their application to simulating artificial neural networks is performed. The authors distinguish basic approaches to solving the problem of network computer simulation training in the...

The use of digital technology in various fields of education today is one of the most important trends in the educational process in the world. The article presents the results of the analysis of the current state of implementation of ICT in the educational process of institutions of general secondary education in Ukraine. For this purpose, a surve...

The authors substantiates and develops the model of using cloud-based environment (CBE) in the training of databases of future information technology (IT) specialists, which consists of interrelated units: target (purpose, task of using CBE), conceptual (pedagogical approaches, didactic principles), organizational and semantic (characteristics of C...

This is an introductory text to a collection of selected papers from the Second Student Workshop on Computer Science & Software Engineering (CS&SE@SW 2019), which was held in Kryvyi Rih, Ukraine, on the November 29, 2019. It consists of short summaries of selected papers and some observations about the event and its future.

This volume represents the proceedings of the 2nd Student Workshop on Computer Science & Software Engineering (CS&SE@SW 2019), held in Kryvyi Rih, Ukraine, in November 29, 2019. It comprises 2 invited talks and 17 contributed papers that were carefully peer-reviewed and selected from 30 submissions. The accepted papers present the ideas and early r...

The features of modeling of the cognitive component of social and humanitarian systems have been considered. An example of using entropy multiscale, multifractal, recurrence and network complexity measures has shown that these and other synergetic models and methods allow us to correctly describe the quantitative differences of cognitive systems. T...

The informational (Kolmogorov) measure of complexity in accordance with the Lempel-Ziv algorithm (LZC) is calculated for the logarithmic returns of daily Bitcoin/$ values. The calculations were carried out for a moving window with a variation in its size (50–250 days) in increments of one day in the framework of the implemented coarse graining proc...

The work is devoted to a comparative analysis complexity of traditional stock market indices and social responsible indices in the example Dow Jones Sustainability Indices and Dow Jones Industrial Average. As measures of complexity, the entropies of various recurrence indicators are chosen – the entropy of the diagonal lines of the recurrence diagr...

The article is devoted to the modeling a semantic knowledge networks. The knowledge network is the basic concept of the problem of knowledge management. This is a new discipline that implements the principles of sustainable development of education. The method of constructing a semantic knowledge network allows us to analyze the connections between...

The purpose of this study is to review the main points of the experimental content of the basics of quantum computer science adapted for lyceum students, based on the prospects of the quantum approach to information processing for ultra-fast calculations in modeling objects of complex dynamical systems. In addition, software tools and Internet serv...

Nowadays, social media, ICT, mobile technologies and applications are increasingly used as tools for communication, interaction, building up social skills and unique learning environments. One of the latest trends observed in education is an attempt to streamline the learning process by applying educational digital games. Despite numerous research...

Nechypurenko P.P. and Solovyov V.M. Using ICT as the Tools of Forming the Senior Pupils’ Research Competencies in the Profile Chemistry Learning of Elective Course “Basics of Quantitative Chemical Analysis. Aims of the study: to substantiate possibilities of the research competencies formation among senior pupils in terms of profile Chemistry lear...

This is an introductory text to a collection of papers from the CTE 2018: The 6th Workshop on Cloud Technologies in Education, which was held in Kryvyi Rih, Ukraine, on the December 21, 2018. It consists of short introduction and some observations about the event and its future.

In this paper we study the possibility of construction indicators-precursors relying on one of the most power-law tailed distributions-Levy's stable distribution. Here, we apply Levy's parameters for 29 stock indices for the period from 1 March 2000 to 28 March 2019 daily values and show their effectiveness as indicators of crisis states on the exa...

The monograph defines the conditions of training of future teachers in natural sciences and mathematics by means of computer simulation, developed a structural-functional model of training, selected socio-constructivist forms of organization, methods and learning tools of computer modeling for future teachers of natural and mathematical disciplines...

The authors of the given article continue the series presented by the 2018 paper "Computer Simulation of Neural Networks Using Spreadsheets: The Dawn of the Age of Camelot". This time, they consider mathematical informatics as the basis of higher engineering education fundamentalization. Mathematical informatics deals with smart simulation, informa...

The Dow Jones Industrial Average (DJIA) index for the 125-year-old (since 1896) history has experienced many crises of different nature and, reflecting the dynamics of the world stock market, is an ideal model object for the study of quantitative indicators and precursors of crisis phenomena. In this paper , the classification and periodization of...

Nowadays, social media, ICT, mobile technologies and applications are increasingly used as tools for communication, interaction, building up social skills and unique learning environments. One of the latest trends observed in education is an attempt to streamline the learning process by applying educational digital games. Despite numerous research...

This is an introductory text to a collection of papers from the CTE 2018: The 6th Workshop on Cloud Technologies in Education, which was held in Kryvyi Rih, Ukraine, on the December 21, 2018. It consists of short introduction and some observations about the event and its future.

The purpose of the study is to highlight the theoretical and methodological aspects of preparing the test questions of the most common types in the form of text files for further import into learning management system (LMS) Moodle. The subject of the research is the automated filling of the Moodle LMS test database. The objectives of the study: to...

This article demonstrates the possibility of constructing indicators of critical and crash phenomena in the volatile market of cryptocurrency. For this purpose, the methods of the theory of complex systems have been used. The possibility of constructing dynamic measures of complexity as recurrent, entropy, network, quantum behaving in a proper way...

In this paper we study the possibility of construction indicators-precursors relying on one of the most power-law tailed distributions - Levy’s stable distribution. Here, we apply Levy’s parameters for 29 stock indices for the period from 1 March 2000 to 28 March 2019 daily values and show their effectiveness as indicators of crisis states on the e...

Entropy is one of the most frequently and effectively used measure of the complexity of systems of various nature. And if the Shannon's canonical entropy is more a measure of the randomness of the system, then the approximate, sample, permutation and other new type entropy that have appeared recently, exploiting the Shannon entropy form have allowe...

Стаття є вступною до збірника вибраних праць Першого студентського семінару із комп’ютерних наук та інженерії програмного забезпечення (First Student Workshop on Computer Science & Software Engineering – CS&SE@SW 2018), який відбувся у м. Кривий Ріг (Україна) 30 листопада 2018 р. Стаття містить короткий опис відібраних праць, деякі спостереження пр...

This article demonstrates the possibility of constructing indicators of critical and crash phenomena in the volatile market of cryptocurrency. For this purpose, the methods of the theory of complex networks have been used. The possibility of constructing dynamic measures of network complexity behaving in a proper way during actual pre-crash periods...

This is an introductory text to a collection of selected papers from the First Student Workshop on Computer Science & Software Engineering (CS&SE@SW 2018), which was held in Kryvyi Rih, Ukraine, on the November 30, 2018. It consists of short summaries of selected papers and some observations about the event and its future. Стаття є вступною до збір...