Maxim Logachev

(1) Background. Established educational processes often fail to replicate the volatile workflow of the IT industry. A critical challenge lies in preparing students for uncertainty and volatility in labor market conditions. This study develops a gamified methodology designed to foster essential soft skills in future IT specialists. (2) Methods. This paper outlines the methodology and its quantitative performance metrics based on an experiment conducted from 2023 to 2026 at Moscow Polytechnic University. Conventional statistical tools, including Sheppard’s correction, Student's t-test, and Pearson's and Spearman's correlation coefficients, were applied to analyze group dynamics, ranking volatility, and network interaction structures. (3) Results. Game-based ranking pressure successfully disrupts linear academic patterns and activates latent behavioral strategies. This volatile approach completely eliminates the Gaussian normal distribution, creating a discrete, polymodal ranking structure that divides students into polar subclusters. Students resolve the didactic duality between personal gain and team synergy through network self-organization and local symbiotic alliances, while psychological pressure is balanced by voluntary participation and prompt debriefing. (4) Conclusions. The proposed mathematical framework enables continuous monitoring of role structures within student groups. Further development involves cross-institutional transfer of this methodology to regional universities to test the invariance of the identified behavioral patterns.

(1) Background. Food sovereignty and local sustainability are ensured by large agro-industrial holdings and small-scale farms; this synergy forms a complementary model of the agrifood system. Maintaining this model’s balance requires the creation of a unified digital ecosystem that integrates all suppliers and consumers into production chains, thereby eliminating unnecessary intermediaries. (2) Methods. This study employs a comprehensive methodological framework, including systems analysis and mathematical modeling, to develop service algorithms. Object-oriented design and software engineering methods facilitated the development and implementation of a service-oriented architecture for the digital system. (3) Results. The study presents a multi-tier architecture featuring an integration bus based on a service-oriented approach. To implement direct supply-and-demand coupling strategies, the system integrates both internal services (microeconomic indicators) and external services (macroeconomic indicators). Additionally, a recommender system based on neural networks and mathematical models was developed to personalize consumer requests and manage product sales. (4) Conclusions. The software solution is consistent with the AgTech 4.0 concept and enables the creation of a seamless environment for interstate trade. The implementation of the system enhances the transparency of the “product footprint”, facilitates the redistribution of surpluses, and, consequently, contributes to price stabilization.

(1) Background. Food sovereignty and local sustainability are ensured by large agro-industrial holdings and small-scale farms; this is synergy forms a complementary model of the agrifood system. Maintaining this model’s balance requires the creation of a unified digital ecosystem that integrates all suppliers and consumers into production chains, thereby eliminating unnecessary intermediaries. (2) Methods. This study employs a comprehensive methodological framework, including systems analysis and mathematical modeling, to develop service algorithms. Object-oriented design and software engineering methods facilitated the development and implementation of a service-oriented architecture for the digital system. (3) Results. The study presents a multi-tier architecture featuring an integration bus based on a service-oriented approach. To implement direct supply-and-demand coupling strategies, the system integrates both internal services (microeconomic indicators) and external services (macroeconomic indicators). Additionally, a recommender system based on neural networks and mathematical models was developed to personalize consumer requests and manage product sales. (4) Conclusions. The software solution is consistent with the AgTech 4.0 concept and enables the creation of a seamless environment for interstate trade. The implementation of the system enhances the transparency of the “product footprint”, facilitates the redistribution of surpluses, and, consequently, contributes to price stabilization.

Background: This article examines the challenges associated with students’ use of artificial intelligence (AI)-based software tools in the educational process. Advances in information technology enable the automatic generation of new content of various types (text, graphics, and audio) without direct human input. While offering considerable opportunities, such technologies also pose potential risks for maintaining academic integrity in the course of mastering educational programs. The aim of this study was to assess the influence of AI technologies on students’ responses when completing assignments related to theoretical knowledge acquisition. Materials and methods: The research was conducted between 2023 and 2025 among second-year students enrolled in the “Applied Informatics” program. Stylistic, morphological, semantic, and syntactic analysis methods were applied to identify key errors in responses to different types of tasks. An anonymous survey conducted among students after submission of their completed work enabled us to identify the principles, methods, and tools that were used to obtain the results. Results: The key feature of the study sample was the lack of prior work experience and limited professional background among these students, which made it possible to determine the extent to which AI-generated information influenced the final content of their responses. The study identified the most typical structural and semantic patterns characteristic of AI-assisted student answers. On this basis, a methodology was developed to support instructors in assessing the degree of AI involvement in student work. Conclusion: The findings may be applied to the modernization of the educational process and in the designing personalized educational trajectories.

The article defines the problem of the lack of uniform and systematic approaches to growing crops on individual land plots. A person's lack of professional knowledge in the field of agricultural technologies and the presence of a lot of reference information form the risks of a negative impact on the natural environment. Existing hardware and software systems for efficient crop production are intended for use in farms or large agro-industrial complexes. The creation of a digital system for personal subsidiary plots allows you to ensure high yields in a small area, while maintaining a careful attitude to natural resources. The use of systems analysis, object-oriented design and graphical methods allowed the authors to develop a digital system that forms recommendations for effective plant cultivation, as well as monitor the land plot. The article presents the software and hardware architecture of the system, providing uninterrupted operation and accessibility to the functionality of different categories of users. The authors highlighted the main characteristics of such users and the opportunities available to them, as well as a description of typical scenarios for working in a digital system. Depending on the user's category, he can manage the resources of the digital system, view reference information, obtain current data on the state of the land plot and the quality of the work carried out, individual recommendations for the placement of plants (taking into account the neighborhood, principles of crop rotation, shading and other factors) or receive an automatically generated calendar of recommended works based on the current state of the site and the work carried out. To visualize scripts, the article shows fragments of the prototype user interface. The digital system is flexible and customizable. The authors concluded that the principles of the digital system meet the requirements of food and environmental safety.

All living organisms affect the environment and the livelihoods of their neighboring populations. Such neighborhood can have both positive and negative consequences. The paper presents a simulation model that determines the number of beavers in a limited area depending on external factors. Such factors include natural conditions, anthropogenic influence on their habitat, peculiarities of beaver’s life activity and conditions regulating the population (possibilities of trapping or hunting). The developed model corresponds to the system dynamics model, which allows to predict the changes of the beaver population in the given time interval depending on the given conditions, which can change. The obtained model can be used in intelligent systems providing environmental monitoring, ecosystem biodiversity and effective management of various types of resources.

The consequences of beaver activity affect the condition of natural and anthropogenic systems. The paper presents a brief description of possible consequences of beaver settlement in the natural territory. The monitoring of the number of individuals, the control of the environment and the possibility of forecasting its changes require the development of specialized software tools. The paper presents a description of the main functionalities of such a system and a list of users to whom they are available. These include the detection of beaver habitats, the prediction of environmental changes due to the construction of dams and reservoirs, and the regulation of animal fishing processes. In addition, lists of data are presented, the use of which will make it possible to realize the presented functionalities. The proposed intelligent system will allow forest specialists to monitor the state of natural areas, to specify the list of measures to ensure the preservation of natural and anthropogenic objects. From the point of view of state management, it is possible to create an up-to-date and constantly updated register of beavers and to control their fishing.

The paper presents the main fragments of the simulation model of a river port on the water section of the international transport corridor passing through the territory of the Russian Federation. The necessity of modernization and improvement of the infrastructure has been substantiated, the factors influencing the carrying capacity of the water corridor have been identified. A study of the river station in the city of Cheboksary in Republic of Chuvashia (Russia) was carried out and its main objects were presented. The rules for the interaction of the objects being the basis of the simulation model, have been established. The resulting model allows generating scenarios for predicting changes in the characteristics of a river station, ship schedules, assessing the quality of the implementation of processes and the level of managerial decision-making.

The article identifies the factors that affect the yield of crops grown in the open ground. Most factors are random in nature, which depending on a variety of conditions can positively or negatively affect crop growth processes. To predict the strategy for growing plants to maximize possible yield requires the development of simulation models that allow repeated virtual experiments, taking into account changes in a variety of parameters. This justifies the need for the study to be conducted. The use of structural analysis methods allowed to establish key objects and processes affecting all stages of plant development, to determine the links between them and the rules of interaction. Based on this, a model of system dynamics was developed, reflecting the processes of plant transition from one state to another, and the parameters affecting the speed of such transition. The developed model can be used as the basis for an expert system that manages agricultural processes.

The article substantiates the necessity of creating a simulation model of changes in the states of forest plantations. Such a model makes it possible to repeatedly conduct experiments on the object of study on changes in different parameters in order to predict the consequences and develop operational management scenarios to reduce the negative impact on its processes and objects. The use of structural analysis, synthesis and classification methods allowed us to identify the key objects of such an ecosystem and the processes that influence their germination, growth and death. The results obtained became the basis for the creation of a system dynamics model reflecting the nature of the behavior of the objects and processes under study. With the help of simulation modeling methods, a system of differential equations was created, which takes into account the quantitative instances of objects and the rate of their changes depending on external parameters. Based on this, a graphical model reflecting all aspects of the realization of such processes has been created.