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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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Установки по отношению к домашнему насилию: категории отношения, измерения, предикторы и последствия

Современная зарубежная психология. 2025. Т. 14. № 4. С. 77–86.
Ananyeva O. A.

Context and relevance. Domestic violence (DV) is a global problem that worsens during social crises and international conflicts, especially in countries that lack legislative protection against DV, including Russia. Public opinion polls show that Russians agree that DV is a serious problem, but disagree on whether Russian society needs to adopt a law on DV prevention. Low willingness to support legislative initiatives to protect the population from DV may be associated with attitudes towards DV. Objective. To analyze and summarize results of modern foreign research on measurements, predictors and consequences of attitudes towards DV. Research question. What categories of attitudes towards the problem of DV, predictors and consequences of attitudes towards DV are distinguished in the modern research field? Methods and materials. Theoretical analysis of foreign publications in the Web of Science, Scopus, PsycINFO databases over the past 5 years. Results. Categories of attitudes towards DV include legitimation, acceptability, attitudes towards intervention, and perceived severity. The predictors and consequences of attitudes towards DV are presented. Conclusions. Classification of different attitudes’ categories is necessary for studying psychological mechanisms hindering or facilitating positive change in the fight against domestic violence.

Research target: Psychology
Language: Russian
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Keywords: установкиattitudesнасилиепоследствияизмеренияviolenceconsequencesдомашнее насилиеmeasurementsdomestic violencepredictorsпредикторы
Publication based on the results of:
The diversity of forms, effects and barriers to integration of modern Russian society in synchronic and diachronic dimensions (2025)
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