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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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Педагогические основы организации научно-исследовательской деятельности как формы самостоятельной работы студентов

Russian Journal of Education and Psychology. 2022. Т. 13. № 1. С. 32–47.
Сергеева О. Н.

Background. The context and the science tasks have changed recently
which means that there is a need for an updated methodology to form and
develop university students’ ability to do a research, i.e. to plan, carry
out and present its’ results. Before we develop an educational program
or a course that is aimed at developing this set of skills, it is important
to break the whole process down into stages so that we could see the
progress of a student doing a research at university who is getting more
and more self-reliant from the start to the end of a project.
Materials and methods. The research was done by means of literature
review and experience analysis in order to identify pedagogical and methodological background issues that underlie the process of mastering
the research skills as part of the self-study competence at university.
Results. Based on the findings, we suppose that there are four stages; we
called them the (1) Introductory (controlled) stage, (2) Forming (guided)
stage, (3) Creative (free) stage, and (4) Independent (reflective-analytical)
stage. All four stages smoothly follow one another stimulating and supporting
students while they are involved in a research project till they are
able to cope with it with the minimum support provided by a third party.
Conclusion. The developed scheme of the stages can also serve as a
basis for the life-long learning afterwards. When a student masters this
set of skills at all four levels, he or she is then capable of repeating the
experience starting with the very first stage in another context in their
home country or abroad – at another university, research organization,
or in another field of research.

Research target: Education
Language: Russian
Full text
DOI
Text on another site
Keywords: самостоятельная работа студентовнаучно-исследовательская деятельность студентовresearch skillsstudents' self-study
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