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Analysis of distribution of statistical data about wagon flows. Part I

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DOI 10.51955/2312-1327_2025_3_ 

Anna K. Mozalevskaya

Ekaterina V. Malovetskaya

Roman S. Bolshakov

Abstract. The features of the analysis of fluctuations in wagon flows in the direction of the ports of the Far East are considered, taking into account the passage through the junction points of adjacent railways entering the borders of the Eastern polygon. At the same time, the incoming wagon traffic is presented as a time series as an array of data. The distribution of wagon flow is estimated using statistical hypotheses. Selection the type of distribution when working with a volume of data is an important stage of the analysis. The data set of operational indicators “loading” and “unloading” is analyzed. Statistical data on the volume of wagon traffic passing through the Eastern polygon through junction points was studied using a unified methodology with a sample of five years. To process static data on changes in wagon flows and form predictive models, the complex of statistical parameters is used as the main tool.

Key words: loading, unloading, analysis of wagon flows, distribution law, parametric criteria, non-parametric criteria, normality criteria.

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Bolshakov Roman Sergeevich

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E–mail: bolshakov_rs@mail.ru

Place of work: Federal State Budget Educational Institution of Higher Education «Irkutsk State Transport University», Irkutsk, Russia

Academic degree: Candidate of Technical Sciences

Academic status:  associate professor

Post: associate professor, department of control of operational work

Specialty from nomenclature of scientific specialties (Code of Higher Attestation Commission):  01.02.06 – Dynamics, strength of machines, devices and equipmant

Scientific major: machines dynamics, mechanical engineering, theory of transportation processes, control of operational work on railway transport.

Important publications:

  1. Bolshakov R. S. Features of vibration conditions of transport and technological machines. Dynamic reactions and forms of interaction of elements / R. S. Bolshakov. – Novosibirsk: Novosibirsk branch of the Federal State Unitary Enterprise “Academic Scientific Publishing and Book Distribution Center” Science “, 2020. – 411 p.
  2. Eliseev S. V. Methodology of systems analysis in the problems of assessing, forming and control the dynamic conditions of technological and transport machines / S. V. Eliseev, A. V. Eliseev, R. S. Bolshakov, A. P. Khomenko. – Novosibirsk: Federal State Unitary Enterprise “Academic Scientific Publishing, Production, Printing and Book Distribution Center” Science “, 2021. – 679 p.
  3. Goncharova N. Yu. Organization of mixed-type passenger transportation. Multimodal tourist transportation / N. Yu. Goncharova, R. S. Bolshakov, N. V. Davydova // Transsib News. – 2023. – №2(54). – pp. 68-79.
  4. Sukhanov G I. Modern aspects of planning technological breaks / G. I. Sukhanov, R. S. Bolshakov, A. V. Suprunovsky // Transport of the Asia-Pacific Region. – 2023. – №4(37). – pp. 101-108.

Malovetskaya Ekaterina Viktorovna

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E–mail: katerina8119@mail.ru

Place of work: Federal State Budget Educational Institution of Higher Education «Irkutsk State Transport University», Irkutsk, Russia

Academic degree: Candidate of Technical Sciences

Academic status:  associate professor

Post: associate professor, department of control of operational work

Specialty from nomenclature of scientific specialties (Code of Higher Attestation Commission):  05.22.08 – Control of operational work

Scientific major: theory of transportation processes, control of operational work on railway transport, creative of forecast models.

Important publications:

  1. Malovetskaya E. Prospects for Comprehensive Forecasts When Assessing the Load of Railway Transport Infrastructure / E. Malovetskaya, E. Voskresenskaya, A. Mozalevskaya // Finance, Economics, and Industry for Sustainable Development (ESG 2023) : Proceedings of the 4th International Scientific Conference on Sustainable Development, St. Petersburg. – Cham: Springer Nature Switzerland AG, 2024. – pp. 217-225.
  2. Malovetskaya E. V. The possibility of using a temporary neural network to forecast incoming car traffic E. Malovetskaya // Transport: science, technology, management. Scientific information collection. – 2023. – №11. – pp. 43-52. – DOI 10.36535/0236-1914-2023-11-6.
  3. Malovetskaya E. V. Possibilities of using ARIMA models in constructing forecast values of car flows / E. Malovetskaya, A. Mozalevskaya // T-Comm: Telecommunications and transport. – 2023. – Vol. 17, №1. – pp. 33-41. – DOI 10.36724/2072-8735-2023-17-1-33-41.
  4. Malovetskaya E. V. Neural network approach to constructing forecast models of car flow arrival at railway junction points / E. Malovetskaya // T-Comm: Telecommunications and transport. – 2023. – Vol. 17, №11. – pp. 41-50. – DOI 10.36724/2072-8735-2023-17-11-41-50.

Mozalevskaya Anna Konstantinovna

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E–mail: mozalevskay@mail.ru

Place of work: Federal State Budget Educational Institution of Higher Education «Irkutsk State Transport University», Irkutsk, Russia

Post: senior lecturer, department of construction of railways, bridges and tunnels

Scientific major: theory of transportation processes, creative of forecast models.

Formation of functional literacy of schoolchildren for engineering-oriented learning (using examples of building mathematical models of motion)

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DOI 10.51955/2312-1327_2025_2_175

Irina V. Bogomaz

Elena A. Chaban

Abstract. The article considers the possibility of improving the quality of mathematical education of students in Russian schools using new approaches related to the applied aspects of the studied mathematical apparatus, which are based on the principles of continuity in learning, as well as targeted, meaningful and technological continuity with other natural science academic disciplines. As a result of the conducted pedagogical research, it has been revealed that the study of functions and fundamentals of mathematical analysis, which are the basis of the mathematical apparatus for studying and mastering the laws of mechanics, is particularly difficult for high school students. In this regard, the article presents the mechanics section “Kinematics” as an interdisciplinary framework between mathematical apparatus and mechanics, formulated by L. Euler. Since knowledge of mechanics is the basis for mastering many other special engineering disciplines studied in engineering and technical universities, proposals related to the substantive part of the Federal Work Programs of Basic and secondary General Education in mathematics and physics have been made to solve the problem of continuity of standards of school and university education.

The work uses a set of theoretical and empirical research methods: analysis and synthesis, historical and logical analysis, modeling, study and generalization of pedagogical experience at school and at an engineering and technical university.

Keywords: mathematics, mechanics, velocity, acceleration, trajectory, graph of motion, equation of motion, differentiation.

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Chaban Elena Anatolyevna

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E–mail: chaban_tm@mail.ru

Place of work: Federal State Budget Educational Institution of Higher Education «Krasnoyarsk Institute of Railway Transport Branch» of the «Irkutsk University of Railway Transport»

Academic degree: Candidate of technical Sciences

Academic status:  associate professor

Post: associate professor of Railway construction department

Specialty from nomenclature of scientific specialties (Code of Higher Attestation Commission):  05.23.01 – Building structures, buildings and structures

Scientific major: quality management of professional engineering education, training of specialists in higher engineering and technical educational institutions, development of human capital. 

Important publications:

  1. Bogomaz I. V. Improving the quality of engineering education based on the relationship between mathematics and mechanics in school education system / I. V. Bogomaz, L. Y. Fomina, E. A. Chaban, M. A. Rudina // Engineering education. – 2024. – № 36. – Pp. 74-85.
  2. Chaban E. A. Peculiarities of using the professionally oriented graphic tasks for railway students / E. A. Chaban, N. V. Strikalova // Pedagogical Review. – 2024. – № 1 (53). – Pp. 32-38.
  3. Bogomaz I. V. Graphic competence of students studying at pedagogical universities / I. V. Bogomaz, E. A. Stepanov, E. A. Chaban // TSPU Bulletin. – 2020. – № 6(212). – Pp. 108-117.

Bogomaz Irina Vladimirovna

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E–mail: i_bogomaz@mail.ru

Place of work: Federal State Budget Educational Institution of Higher Education «Krasnoyarsk state pedagogical University. V.P. Astafiev», Krasnoyarsk, Russian Federation

Academic degree: Doctor of Pedagogical Sciences, Candidate of Physical and Mathematical Sciences

Academic title: Professor

Post: professor of English philology department

Speciality from Nomenclature of scientific specialties (Code of Higher Attestation Commission): 13.00.03 – theory and methodology of teaching and education (tnformatization of education; 01.04.11 – Physics of magnetic phenomena.

Scientific major: quality management of professional engineering and pedagogical education, human capital development. 

Important publications:

  1. Bogomaz I. V. Learning a foreign language on the basis of VR technology / I. V. Bogomaz, V. S. Budnikov, N. O. Pikov // Informatization of science and education. – 2019. – №4 (44). – Pp. 176-192.
  2. Bogomaz I. V. Logical and content lines between physics and mathematics as the basis of professional teacher training in a modern pedagogical university / I. V. Bogomaz, V. I. Teslenko // Bulletin of Tomsk State Pedagogical University. – 2025. – № 2 (238). – Pp. 43-53.
  3. Bogomaz I. V. Innovations in education of the period of digital transformation (collective monograph) / I. V. Bogomaz, M. A. Bitner, V. S. Budnikov, N. O. Pikov. – Omsk : Izd-vom OmGA, 2024. – Pp. 73-102.
  4. Bogomaz I. V. Improving the quality of engineering education based on the relationship between mathematics and mechanics in school education system / I. V. Bogomaz, L. Y. Fomina, E. A. Chaban, M. A. Rudina // Engineering education. – 2024. – № 36. – Pp. 74-85.

Polycode semiosis of communication on digital social platforms

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DOI 10.51955/2312-1327_2025_2_98

Andrey G. Fomin

Shamil R. Gabitov

Abstract. This study examined polycode semiosis in communication on the popular Telegram platform, where the interaction of verbal and non-verbal codes forms the basis for effective information transmission. The research relevance stems from the need to analyze polycode texts in the context of digitalization, where the growing role of virtual communication is transforming traditional semiotic systems. The study aim was to identify the features of polycode communication as a means of representing the author’s intent by establishing correlations between verbal and non-verbal codes. This paper focused on examining polycode texts in Telegram news channels and their role in conveying the author’s intent. These texts perform cognitive, expressive, phatic, and metadiscursive functions. The study analyzed the interaction between verbal and non-verbal components of messages. The results confirmed that polycode communication enhanced the communicative potential of content. The non-verbal code can both complement the meaning conveyed by the verbal code, revealing the sender’s stance, and alter it, sometimes even contrasting with it, to express an additional evaluation that is not explicitly represented through verbal means.

Keywords: sign, code, verbal code, non-verbal code, polycode text, polycode semiosis, multimodality, internet meme

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Gabitov Shamil Rafikovich

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E–mail: shamil9907@mail.ru

Place of study: Federal State Budgetary Educational Institution of Higher Education “Kemerovo State University”, Kemerovo, Russia

Status: postgraduate student of the Department of Translation Studies and Linguistics.

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