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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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Современные модели профилактики и коррекции трудностей в обучении в работе школьных служб поддержки в зарубежных странах

Современная зарубежная психология. 2022. Т. 11. № 3. С. 17–26.
Исаев Е. И., Kosaretsky S., Koroleva Y.

The article describes the approaches to prevention and correction of learning difficulties used in the work of school support services abroad (USA, Australia, Portugal, Sweden, Finland, etc.). The general features of the implemented models are supposed to be: multilevel support system, multidisciplinary (interdisciplinary) teams, use of an individual development (education, support) plan, etc. The features of the roles of school level specialists (teacher, school psychologist, social worker, etc.) and their interaction in the process of organizing assistance to children are also taken into consideration. We paid attention to the specific features of the implementation of approaches, problems and limitations encountered in practice and discussed the perspective for the implementation of these approaches in Russian education.

Research target: Psychology Education
Language: Russian
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Keywords: междисциплинарный подходтрудности в обученииinterdisciplinary approachlearning difficultiesresponse to interventionmultidisciplinary teamevidence-based educational practiceмногопрофильная командареакция на вмешательство многоуровневая организация поддержки доказательная образовательная практика
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