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This article focuses on the features of using text-based neural networks (generative AI) in the course “Professional Foreign Language” at the industry-related university. The aim of the study is to compare the potential of text-based neural networks with traditional participants (a teacher and a student) of the educational process, considering the formation of Universal Competence 4. Such key concepts as neural network, text-based neural network, and prompt were considered. Special attention is given to theoretical research on the integration of neural networks in the educational process. The practical part of this research is based on the material used in educating 38.03.01 “Economics” the performance of the ChatGPT and GigaChat in generating educational (text) and didactic (assignment) materials for second-year students is analyzed. A comparative analysis of the results generated by the teacher, students, and the neural network for assignments related to the text is presented. The findings of the comparison are summarized, and prospective directions for the use of text-based neural networks in foreign language education at industry-related university are suggested.
Introduction. The study provides a comprehensive analysis of human capital management in the agricultural sector of the cross-border territories of the Russian Federation (Novosibirsk Region) and the Republic of Kazakhstan (Pavlodar Region). The paper identifies key demographic, socioeconomic, and cultural barriers hindering the effective integration and synergy of labor resources. The methodological solution justifies the use of a personnel adaptation assessment system, including an integrated adaptation index weighted by key competencies and a cross-cultural effectivenesscoefficient (CEC), which enables a shift from quantitative indicators to a qualitative analysis of employee potential and performance in international projects. Purpose setting. The SWOT analysis confirmed that overcoming the identified challenges and leveraging the regions’ competitive advantages is possible through targeted adaptation programs, which is a prerequisite for deepening Russian-Kazakh cooperation in the agricultural sector. Methodology and methods of the study. The object of the study is cross-border cooperation in agriculture between the Russian Federation and the Republic of Kazakhstan. The subject of the study is human capital management in cross-border territories. Depending on the objectives, the following research methods were used: comparative analysis, SWOT analysis, statistical analysis, bibliographic analysis, etc. Results. The qualitative, rather than quantitative, nature of the personnel shortage in the agro-industrial complex has been identified, arising from the gap between personnel training and the needs of high-tech enterprises. Key cultural barriers (differences in trust patterns, communication styles, and attitudes toward hierarchy) complicating human capital management were identified. Conclusion. It was proven that the success of cooperation depends on the ability of companies to adapt and retain personnel, leveraging the strengths of each region.
The definition of honey and modern bee products is given. The main qualitative characteristics of bee products used in different countries of the world and in Russia are presented. The components of the high quality of Russian honey are shown, based both on the natural characteristics of raw materials and on the use of traditional technologies used in the regions of Russia. The current state of honey production and export in the regions of the world and the leading countries in terms of production, consumption and trade is considered. A classification of honey varieties according to the dominant honey plants and the producing countries of these varieties is proposed. The role and share of beekeeping in the agricultural sector of the Russian economy is shown. The regional peculiarities of beekeeping are considered. The analysis of geographical features of the distribution of honey production in the federal districts of Russia and the structure of honey production in various subjects of the Federation is carried out. The competitive advantages of Russian honey are described. The Russian regions, which are leaders in terms of production, consumption and trade in these products, are analyzed. The analysis of the modern regulatory framework governing modern beekeeping at the federal and regional levels is carried out. The export of Russian honey and bee products, its structure and import of bee products to Russia are investigated. The results of economic indicators related to beekeeping and trade in bee products (incomes of the subjects of the Federation and incomes in these subjects per capita) are presented. The analysis of the impact of international trade in bee products on the economic security of Russia is carried out. The analysis of the main barriers hindering the development of exports of bee products at the present stage is carried out. Measures are proposed to increase the competitiveness of Russian products on the international market
The article outlines trends in the development of agritech startups and the role of the public sector in this process. Global experience shows that government funding for research and development in the agricultural sector reaches 50-80%. The role of the state should extend beyond financial support for researchers to enabling corporations to engage in open innovation. The article highlights challenges in venture financing and the role of the banking and corporate sectors in fostering innovation and supporting agritech startups. In 2024, a decrease in net profit was recorded for most of the studied agribusinesses. A shortage of financial resources is negatively impacting the development of corporate venture capital investment and support for agritech startups. The article describes the need to develop an innovative culture and a market for innovation consumption among agricultural producers in medium and large businesses. An algorithm for interaction between the state, business, and startups through the work of a regional macroaccelerator is described. The key element of the macroaccelerator is the innovation management department, which is established within the agricultural enterprise. It identifies and prepares startups for piloting and investment, enabling diversification, the creation of new products, and the development of a market for innovation consumption. The macroaccelerator’s primary objectives are: creating additional value for companies participating in acceleration programs; improving the quality of products or services; and increasing production efficiency through new solutions and product range expansion.
The paper provides a rationale for the calculation technique of concrete beams reinforced by prestressed composite materials. Three stages of the stress-strain state of a bending reinforced concrete element are considered. The first stage includes forces affecting the main beams from full design constant loads, the second stage is the action of forces from the preliminary stress of polymer composite materials; the third stage is the ultimate state taking into account the stress-strain state of the two previous structures. Stress-strain curves are obtained for different stages, taking into account the beam reinforcement. Purpose: Substantiation of the calculation technique for the bearing capacity of reinforced concrete beams reinforced with prestressed polymer composites for the restoration and improvement of their performance characteristics. Design/methodology/approach: The analysis of numerical models of elements under loads and comparison of the obtained results with the laboratory experimental data. The limit-statebased analysis utilizes nonlinear deformation models of concrete and reinforcement. The calculation technique is verified by the laboratory tests. Research findings: Theoretical and experimental studies substantiate the proposed calculation technique for reinforced concrete bridge beams reinforced with prestressed composite materials. Practical implications: The calculation technique show a high accuracy in comparison with laboratory research. Originality/value: Previously, there is no calculation technique for reinforced concrete beams reinforced with prestressed composite materials.
