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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.
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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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Blood Donation Motivation in the United States and Russia: What keeps donors coming back?

Journal of Community & Applied Social Psychology. 2022. Vol. 32. No. 5. P. 872–881.
Kennon M. Sheldon, Evgeny Osin, Lapka S., Rasskazova E., Titova L., Khrushev S., Vybornykh D., Gaponova T.

What keeps regular blood donors coming back, despite the inconvenience and discomfort, thereby maintaining the community's blood supply? We approached 494 people waiting to give blood, 229 Americans and 265 Russians, with a survey that assessed their motivations to donate, their contextual emotions, and their future donation intentions. The Russian sample was older, and many were regulars at the donation centre. The U.S. sample was younger, attending a 3-day college blood drive. Multigroup path analysis results showed that, as hypothesised, in both samples, autonomous donation motivations predicted contextual emotions and future donation intentions. Furthermore, contextual emotions partially mediated the motivation-to-future intentions effect. Small differences in results for the two samples, as well as differences in the two national systems for maintaining blood supplies, are discussed.

Research target: Psychology
Language: English
DOI
Keywords: blood donation
Publication based on the results of:
The role of meaning in success, well-being, and coping with life challenges (2022)
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