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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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Базовые таблицы «затраты-выпуск» за 2021 год: некоторые аспекты применения в исследованиях

Проблемы прогнозирования. 2026. № 1. С. 45–55.
Kalinin A. M.

Rosstat's publication of basic input–output tables for 2021, given the five-year periodicity of such materials, represents a significant event for Russian economic science. The article provides an overview of some of the features and properties of the published tables and the results of their use for the analysis of technological changes and import dependence. It has been shown that when comparing the specified materials for 2016 and 2021, the conclusions previously drawn on the basis of the annually published tables of resources and uses remain generally valid. At the same time, symmetrical input–output tables allow us to obtain a more reliable picture of the changes that took place. Overall, the data in the tables for 2021 indicate no significant structural or technological shifts in the Russian economy, although there is some evidence of simplification of the relationships between activities. From the point of view of assessing import dependence, detailed basic input–output tables allow us not only to assess the level of import use by industry, but also to identify intermediate consumption positions where imported goods are dominant. Such elements can be found in intermediate consumption across many types of products. The results obtained can be used to formulate sound policies to strengthen technological sovereignty.

Research target: Economics and Management
Language: Russian
Full text
DOI
Keywords: импортозамещениемежотраслевой баланстехнологические измененияtechnological changeinput-output tablesimport substitutionimport dependenceимпортозависимостьтаблицы затраты-выпускinter-industry balance
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