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November 10, 2026
Physicists Train AI to Optimise Particle Beams in Accelerators
Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science and the Budker Institute of Nuclear Physics at the Siberian Branch of the Russian Academy of Sciences have developed RLABC (Reinforcement Learning for Accelerator Beamline Control), a framework that uses reinforcement learning to identify optimal settings for a particle accelerator. In a computer simulation, RLABC optimised the accelerator's parameters to achieve a particle transmission rate of 70%. The study has been published in Computer Physics Communications.
November 9, 2026
'Organ-on-a-Chip Technology Could Eliminate the Need for Animal Testing'
The Laboratory of Molecular Physiology at the HSE Faculty of Biology and Biotechnology investigates how molecular regulators known as microRNAs control gene expression and contribute to the development of diseases, including cancer, viral and inflammatory conditions, and pregnancy complications. At HSE University, researchers develop organ-on-a-chip models: miniature devices containing living cells that mimic the functions of human organs, such as the placenta and intestines. These models help researchers understand how diseases develop and how drugs affect them. HSE News Service spoke with Evgeny Knyazev, Head of the Laboratory.
November 9, 2026
Flattened Terrain Models Underestimate Vehicle-to-Vehicle Communication Outages
Researchers at HSE MIEM have shown that widely used simulators of vehicle-to-vehicle communication significantly overestimate its reliability because they assume flat terrain. When terrain features, bridges, and tunnels are taken into account, the outage rate on a mountain serpentine road rises from 21% to 30%, on an overpass from 20% to 33%, and in a tunnel from 0% to 80%. The results have been published in Future Transportation.

 

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Effective Educational Technologies in Teaching Foreign Languages to Gifted High School Students

Contemporary dilemmas: Education, Politics and Values. 2018. Vol. 3. P. 1–39.
Varlamova Y., Rubtcova M.

This paper is devoted to the concept of giftedness and how to support and train gifted high school students. Giftedness is understood as a versatile, complex and dynamic system.  The primary aim of the paper is to describe and assess the implemented methods focused on supporting and developing gifted children. The authors of the article believe that the use of active teaching methods in foreign language lessons, in particular the method of discussion, case study and project method are important for maintaining the motivation of schoolchildren. Moreover, cognitive activities help to develop social behavior and communication skills. The article considers the stages of the implemented method, provides practical advice, highlight challenges and perspectives of work with gifted students in Russia.

Research target: Education
Priority areas: humanitarian
Language: English
Full text
Text on another site
Keywords: achievement motivationdiscussion tacticsacademic communicative competencecritical thinking skillsgifted students
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