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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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Лекции по патологической анатомии (Видеокурс): учебное пособие

M. : -, 2025.
Данилова Н. В., Олейникова Н. А., Mikhailov I., Мальков П. Г.
Academic editor: Н. В. Данилова

This textbook contains all the lectures from the pathological anatomy course at the Faculty of Fundamental Medicine of Lomonosov Moscow State University. The total duration of video recordings is over 50 hours. Each lecture has a brief summary. The accessible presentation of the material will allow you to effectively use your knowledge in preparation for practical classes, colloquiums, and tests within the pathological anatomy course. The textbook is intended for use in the educational process of students majoring in General Medicine (31.05.01), residents majoring in Pathological Anatomy (31.08.07) and Oncology (31.08.57), postgraduate students majoring in Pathological Anatomy (3.3.2) and Oncology (3.1.5), pathologists, and oncologists.

Research target: Medical and Health Sciences Health Studies
Language: Russian
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Keywords: здравоохранениеhealthcarepathologyпатологическая анатомия
Лекции по патологической анатомии (Видеокурс): учебное пособие
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