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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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Репродуктивные намерения и разделение обязанностей в семье: эмпирическая оценка связи на российских данных

Мониторинг общественного мнения: Экономические и социальные перемены. 2026. № 4. С. 207–230.
Zakharova S.

This article presents an empirical analysis of the relationship between Russians' reproductive intentions and the division of household chores, along with their satisfaction with it. The study draws on theoretical approaches linking fertility to the participation of men and women in domestic labor, and builds upon the methodology proposed in a study by Riederer and co-authors using data from four European countries. The empirical basis is the first wave (2004) of the nationally representative survey “Parents and Children, Men and Women in Family and Society” (implemented in Russia as part of the international Generations and Gender Programme). Based on four types of household chores (cooking, washing dishes, shopping for groceries, and cleaning), the author constructed an index to classify households into groups with traditional and modernized division of labor. This index was then combined with three levels of satisfaction with the existing distribution. To test the hypotheses, a binary logistic regression was estimated with the dependent variable being the intention to have a child in the next three years. Models were estimated separately for men and women, as well as for respondents with and without children. The results showed that a combination of a modernized division of labor and extremely high satisfaction with it is significant for the formation of positive intentions. In contrast, traditional division of labor combined with low satisfaction proved to be one of the notable negative factors. Analysis on subsamples revealed heterogeneity: for women, the positive effect of modernized division of labor with high satisfaction was significant, whereas for men, only the negative effect of dissatisfaction with the traditional model remained significant. The link between division of labor and intentions is robust for respondents with children but almost statistically insignificant for childless respondents.

Language: Russian
DOI
Text on another site
Keywords: рождаемостьрепродуктивное поведениеfertilitybinary choice modelsreproductive behaviorмодели бинарного выборарепродуктивные намеренияreproductive intentionsdivision of household choresразделение домашних обязанностей
Publication based on the results of:
Decision-making in key life spheres: space of choice and the role of individual characteristics and contextual factors (2025)
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