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News
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.

 

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Моделирование навыков стрельбы в адаптивном биатлоне у спортсменов разного уровня мастерства с использованием технологий виртуальной реальности

Национальный психологический журнал. 2025. Т. 20. № 2. С. 130–149.
Гасанов А. А., Одинцов М. А., Леонов С. В., Сухочев П. Ю., Седогин Е. А., Белоусова М. Д., Polikanova I.

Background. The rapid growth of virtual reality (VR) and motion tracking technologies in recent years has allowed them to find applications in many fields of science, including elite sports. With the advancement of VR technologies, it becomes possible to address an increasing range of tasks for athlete training. Objectives. To develop and test a virtual reality technology for shooting training in adaptive biathlon. Study Participants. The study involved 15 participants (mean age 24, SD = 11 years), divided into three subgroups. The first subgroup consisted of beginners (n = 5, mean age 27, SD = 7 years). The second subgroup included amateurs (n = 4, mean age 13, SD = 2 years, with a 1st junior rank in adaptive biathlon). The third subgroup comprised professional adaptive biathletes (n = 6, mean age 25, SD = 10 years) with ranks ranging from candidate to international master of sports. Results. Significant differences were shown among the three groups according to the Kruskal — Wallis criterion. Pairwise comparisons revealed that predominantly significant differences were observed between beginners and professionals. It was shown that with an increase in skill level among biathletes, there is a rise in the indicators of “average score” (p < 0.05) and “accuracy” (p < 0.05), while “score deviations” did not demonstrate any patterns. The most significant parameters for successful shooting are those related to postural stability and rifle holding stability: “average curve length” (p < 0.05), “length deviations” (p < 0.001), “average area under the curve” (p < 0.001), and “area deviations” (p < 0.05). The parameter “shooting time” varied among all participants, but no significant differences were found, which may be related to the conditions of virtual reality and the use of an experimental rifle. Conclusions. The study successfully tested virtual reality technology for shooting training in adaptive biathlon. The developed environment proved to be adequate as a tool for diagnosing and training shooting skills. Key parameters for aiming were identified: average curve length, its deviations, average aiming area, as well as average score and accuracy

Research target: Psychology Mathematics
Language: Russian
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Keywords: виртуальная реальностьVRVR virtual realityAdaptive sportsбиатлонadaptive biathlon biathlonshooting trainingадаптивный биатлонтренировка стрельбыадаптивный спорт
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