Donetsk National Technical University (DonNTU, formerly Donetsk Polytechnic Institute and other names) is the biggest and oldest higher education establishment in Donbas, founded in 1921. In its early years, it was attended by Nikita Khrushchev.Following the loss of Ukrainian government control over Donetsk in 2014 during the war in Donbass, there are two competing institutions operating under this name. The Ukrainian national faculty relocated to Pokrovsk and are operating with a Ukrainian accreditation. The original faculty remained in the campus in Donetsk, and are operating under the Donetsk People's Republic.
The paper analyzes requirements of companies in order to identify new knowledge therefrom to supplement and adjust academic programs. This task is solved by computer-aided processing of natural language texts of the requirements using machine learning methods. The Doc2Vec model was used to implement the metric of comparing the text of a discipline syllabus and company requirements. It takes into account the context of words and their meanings. Knowledge is presented in the form of a semantic network, an digraph, which is constructed from a text parse tree under semantic-syntactic rules. New knowledge is extracted for a specific discipline syllabus by comparing knowledge graphs constructed from the texts of the requirements and the syllabus. Experiments have confirmed the possibility of automatically supplementing discipline syllabi with new notions extracted from the texts of company requirements for university alumni. The inclusion of a new agent that has this role in the multi-agent training modeling system will enable the department to respond quickly to current labor market demands.
The development of an engineering methodology for calculating regenerative burners is an essential step in establishing the scientific foundations for improving the efficiency of energy resource utilization. Current techniques do not take into ac-count all the features of the processes taking place in the heat exchange nozzles of such burners, leading to inaccuracies in determining their design and operational parameters. This article presents an improved version of a well-known engineering technique based on the use of a specially designed digital twin. The known methodology provides for a mathematical description of the laws of time variation in smoke and air temperatures at the nozzle outlet necessary for calculations. It was established that the previously assumption of an exponential law for the change in smoke temperature at the nozzle outlet is not always accurate, and a logarithmic law should be used to describe it. The article demonstrated the usefulness of the exponential law of temperature change for air temperature proposed in the known methodology. Further research will focus on compiling criterion equations that establish the dependence of the dimensionless parameters in the laws of smoke and air temperature change at the nozzle outlet during the relevant phases on similarity criteria characterizing the process.
The article examines the impact of digitalization on the transformation of concepts of giftedness in the twenty-first century within both Ukrainian and global contexts. The study explores how the rapid development of digital technologies, the emergence of new forms of cognitive activity, and the rise of digital competences have reshaped traditional approaches to understanding the nature of giftedness. It is emphasized that digitalization has expanded the spectrum of abilities recognized as educationally significant and has contributed to the emergence of new criteria for academic and creative excellence in the information society. Special attention is given to modern concepts such as digital talent, information and media literacy, digital creativity, and adaptive thinking, which are viewed as essential components of gifted development in the digital age. The article highlights the role of digital tools (EdTech platforms, online courses, adaptive learning systems, and artificial intelligence) in identifying, supporting, and nurturing gifted children and young people. Digital environments provide new opportunities for individualized learning paths, participation in international competitions, and the implementation of creative projects, while simultaneously intensifying the problem of digital inequality. The specific impact of digitalization on Ukrainian education under martial law, mass transition to remote learning, and unequal access to technologies is analyzed. Both risks (overload, unequal access, psychological challenges) and opportunities (growth of digital competence, expanded global engagement, formation of a digital elite) are identified. The article concludes that digitalization profoundly transforms pedagogical understandings of ability, introducing new conditions for supporting gifted learners. Future research directions include the development of models of digital giftedness, diagnostic tools, the exploration of AI-driven cognitive development, and strategies for supporting gifted youth during and after Ukraine’s recovery.
Abstract Goal. To reduce the level of adverse factors in the air at quarry working benches by using localized ventilation systems powered by alternative energy sources. Research methods. Theoretical substantiation of the system configuration and approximate parameters of the components of a localized ventilation system for quarries. Scientific novelty. For the first time, a system is proposed that extracts polluted air from the quarry recirculation zone, partially cleans it, and subsequently disperses it outside the quarry, using solar energy to generate airflow in a ventilation duct. Practical significance. The results can be applied in the design and modernization of localized ventilation systems in deep quarries to reduce gas and dust concentrations in working areas, which will lower energy costs, reduce greenhouse-gas emissions, improve occupational safety, and decrease anthropogenic impacts on the environment. The results. A mobile localized ventilation system for deep quarries based on solar-induced buoyancy-driven draft is developed and theoretically substantiated. Analytical relationships are obtained to estimate airflow velocity and pressure depression in the ventilation duct, and the effectiveness of reducing gas and dust concentrations in working areas is demonstrated. The proposed solution shows potential to improve environmental and occupational safety while reducing energy consumption.
This article explores the design features and operating principles of a mechanized feed system for slagforming mixtures into the crystallizers of large-section continuous casting machines. This system includes a metering and conveying device, both powered by a single combined drive. Calculated relationships are derived to substantiate the geometric and power parameters of a feeder with a rigid vertical conical-cylindrical auger, which provides controlled dispensing of fine material from a feed hopper. This article describes the methodology and results of model experiments conducted to validate the technical solutions adopted in the development of the mechanism under study and the accuracy of the calculation data for its main characteristics. A laboratory prototype of the feeder and control and measuring equipment were used to simultaneously monitor the torque of resistance to auger rotation during operation, as well as the flow rate of the slag-forming mixture it dispenses, in real time. Discrepancies between the calculated and experimental data did not exceed 15 %. The obtained information was used in the calculation and design of pilot industrial prototypes of domestic mechanized slag-forming mixture feeding systems designed to service new types of continuous casting machines for the production of round bloom blanks with diameters of 800–1,200 mm. Industrial implementation of these systems will contribute to the country’s import substitution program.
