https://dspace.ncfu.ru/handle/20.500.12258/48 Tue, 30 Jun 2026 18:44:38 GMT 2026-06-30T18:44:38Z https://dspace.ncfu.ru/handle/123456789/33045 Title: Information Technologies in the Development of Physical Education of the Student’s Personality Authors: Katrenko, M. V.; Катренко, М. В.; Gorbaneva, N. S.; Горбанева, Н. С.; Yukhtenko, L. V.; Юхтенко, Л. В. Abstract: The widespread adoption of digitalization, including in physical education and sports, has diversified the focus of educational progress, altered traditional educational approaches, and improved perceptions of knowledge acquisition. Implementing a strategy to intensify the acquisition of new knowledge and skills contributes to the development of university graduates’ professionalism and increases their demand in the job market. The paper examines the use of digital technologies in students’ physical education. The inclusion of geographic information systems and augmented reality technology in the educational process of students made it possible to visualize educational information, which contributed to the formation of new competencies in the use of immersive technologies, increased motivation for physical activity, an increase in the level of physical culture of the individual and was a confirming factor in the effectiveness of the use of technologies in demand by the time in conducting additional classes in modern education. Thu, 01 Jan 2026 00:00:00 GMT https://dspace.ncfu.ru/handle/123456789/33045 2026-01-01T00:00:00Z https://dspace.ncfu.ru/handle/123456789/33044 Title: Vulnerability Analysis of Language Models and Development of Compensating Recommendations for the Educational Process Authors: Lapina, M. A.; Лапина, М. А.; Evteeva, E. V.; Евтеева, Е. В. Abstract: This paper is devoted to the urgent problem of ensuring the information security of students in an educational environment using artificial intelligence (AI) technologies. The aim of the study is to develop recommendations for the preparation of an industrial request aimed at minimizing the risks of children receiving unreliable, harmful or inappropriate information, as well as to avoid 'hallucinations' of AI. As part of the work, the analysis of available language models (TryChatGPT, Deepseek, GigaChat) is carried out, key vulnerabilities and potential threats are identified. Based on this analysis, comprehensive recommendations are formulated. The practical part of the work includes an experimental verification of the effectiveness of the proposed recommendations. The results of the study demonstrate a statistically significant decrease in the number of cases of generating false information when applying the developed set of measures. The work can be used to create secure educational platforms and develop methodological manuals on digital hygiene. Thu, 01 Jan 2026 00:00:00 GMT https://dspace.ncfu.ru/handle/123456789/33044 2026-01-01T00:00:00Z https://dspace.ncfu.ru/handle/123456789/33043 Title: Development of a Control System Based on a Deep Generative Model for a 6-DoF Robotic Manipulator Authors: Nikolaev, E. I.; Николаев, Е. И.; Zakharova, N. I.; Захарова, Н. И. Abstract: The functioning of robotic intelligent complexes in a dynamic environment for the effective solution of object manipulation tasks is a challenging scientific problem. Intelligent robotics involves not only the performance of tasks by a robot manipulator, but also safe interaction with humans, which is why collaborative robots are increasingly in demand. The efficiency of robot manipulators in performing tasks depends on the hardware architecture of the robotic device, but to a greater extent on the control system. The use of dynamic models based on physical parameters of the environment allows for the implementation of a high-quality robot control system capable of generalization, but this approach requires complete information about the environment. The use of machine learning models in the development of a robot manipulator control system allows the robot's actions to be generated based on the parameters of the environment perceived by sensors. This approach allows complex behavior algorithms to be implemented in real time in a changing robot operating environment. This paper proposes an architecture for a robot manipulator control subsystem based on a deep generative model. Thu, 01 Jan 2026 00:00:00 GMT https://dspace.ncfu.ru/handle/123456789/33043 2026-01-01T00:00:00Z https://dspace.ncfu.ru/handle/123456789/33042 Title: 2-Nitro-3-(trichloromethyl)-2,3-dihydronaphtho[2,3-b/1,2-b]furan-4,9/4,5-dione: Synthesis and Structure Authors: Demidov, O. P.; Демидов, О. П. Abstract: The synthesis of previously unknown regioisomeric (rel-2S,3S)-2-nitro-3-(trichloromethyl)-2,3-dihydronaphtho[2,3-b]furan-4,9-dione and (rel-2R,3R)-2-nitro-3-(trichloromethyl)-2,3-dihydronaphtho[1,2-b]furan-4,5-dione was reported. The new compounds were structurally characterized via a single-crystal X-ray diffraction analysis, 1H, 13C{1H}, 1H–1H COSY, 1H–13C HMQC, and 1H–13C HMBC NMR and IR spectroscopy. Thu, 01 Jan 2026 00:00:00 GMT https://dspace.ncfu.ru/handle/123456789/33042 2026-01-01T00:00:00Z