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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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Prospects of Timber Industry Development in the Far East of Russia

Wood & Panel Europe. 2012. No. 4. P. 60–70.
Kuzminov I.

Russian Federation inherited a wide and well-developed timber harvesting infrastructure from the Soviet Union. It also inherited relatively strong timber processing industry, especially a network of giant pulp-and-paper plants with access to abundant water supply and cheap electricity. However, a number of factors deteriorate Russia's timber processing competitiveness. First, military security reasons made Soviet Union locate its processing industry, including timber processing, deep within the continent. Therefore, major Russian pulp-and-paper plants, as well as sawmills, panels and plywood plants face higher transportation costs when exporting their production than their counterparts in the United States and Finland. Second, major timber processing plants had been technologically advanced in time of deployment (1970-1980-s), but their technology and machinery has become quite backward over the decades, while investment in the production has nearly stopped altogether in 1990-s and was scarce in 2000-s.

Research target: Earth Sciences Biology Mathematics Economics and Management
Priority areas: economics management
Language: English
Full text
Keywords: организациязаконодательствоэкономикаинтеграцияeconomicslegislationуправлениеразвитиеintegrationпредприятиеtimber industryinstitutional shiftssocial implicationsЛПКпланирование и прогнозированиестатистика промышленностивлияние сельского, лесного, водного хозяйства
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