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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
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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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The Social Cure Properties of Groups Across Cultures: Groups Provide More Support but Have Stronger Norms and Are Less Curative in Relationally Immobile Societies.

Social Psychological and Personality Science. 2025. Vol. 16. No. 7. P. 780–791.
Easterbrook M., Grigoryan L., Smith P., Kos Y., Lun V. M., Papastylianou D., Torres C., Efremova M.

We investigate whether the social cure properties of groups vary across cultures, testing hypotheses that the associations between multiple group memberships (MGM) and depressive symptoms will (a) be mediated by social support and uncomfortable normative pressures, and (b) vary systematically with sample-level relational mobility. Analyses of data from a survey (N = 5,174) conducted within k = 29 samples show that MGM is negatively associated with depressive symptoms, an association fully mediated by social support and uncomfortable normative pressures. In line with our theorizing, in samples with higher levels of relational mobility constraints, the association between MGM and depressive symptoms is weaker, the associations between MGM and social support and between MGM and normative pressures are stronger, and the association between social support and depressive symptoms weaker. The indirect link between MGM and depressive symptoms via social support is significant at both low and high levels of relational mobility constraints.

Research target: Social Sciences Psychology
Language: English
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Keywords: social supportсоциальная поддержкагрупповые процессыдепрессияdepression культураgroup processesculture and self
Publication based on the results of:
Comparative studies of culture and subjective well-being: differentiation and integration of societies in the context of global challenges (2025)
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