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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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COVID-19 Pandemic, Catalytic Institutions, and Consumer Well-Being: Evidence from Russia

Ch. 18. P. 367–388.
Krasnikov A. V., Rebiazina V., Berezka S.

The purpose of this chapter is to examine changes in the well-being of Russian consumers, caused by the COVID-19 pandemic. Building upon both micromarketing and macromarketing perspectives, the authors identify key topics in studies of consumer behavior during the world-wide spread of a novel and deadly coronavirus, and examine changes in behaviors in relation to individual and community well-being in Russia. These topics are further examined using data collected during the outbreak of COVID-19 to compare changes in individual and community well-being across in Russia, Brazil, China, India and South Africa. Finally, the authors examine how Russian consumers adjust their behaviors during lockdown. The results shed light on changes to consumer behavior patterns caused by global pandemic in a transitional economy, with implications for health-and-well-being management in Russia and potentially other transitional economies distressed by future health crises.

Language: English
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Keywords: RussiaBRICSConsumer BehaviorConsumer Well-beingQuality-of-LifeCOVID-19digital transformation

In book

Community, Economy and COVID-19: Lessons from Multi-Country Analyses of a Global Pandemic
NY: Springer, 2022.
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