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News
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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РОССИЙСКОЕ ЗДРАВООХРАНЕНИЕ: ПРОБЛЕМЫ И ПЕРСПЕКТИВЫ

Финансовый журнал. 2017. Т. 38. № 4. С. 9–23.
Avxentyev N., Назаров В. С.

There is an evidence that today health spending efficiency in Russia is low: comparing Russia to foreign countries shows that, considering current expenditures, a number of medico-social variables reflecting healthcare effectiveness, e.g. life expectancy, mortality and equity in access to healthcare, can be improved. The article examines causes that deteriorate health spending efficiency: imbalance in Program of state guarantees in health, structural disproportion in health spending sources, the lack of universal outpatient drug provision program and inadequate motivation of health professionals. The authors also examined possible measures aiming to solve stated problems.

Research target: Economics and Management Health Studies
Priority areas: economics
Language: Russian
Full text
Text on another site
Keywords: обязательное медицинское страхованиелекарственное обеспечениереформа здравоохранениядобровольное медицинское страхованиеvoluntary health insurancecompulsory health insurancedrug provisionhealth reform
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