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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
'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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Факторы мобильности на рынке труда в современной России: имеют ли значение социальные связи?

Экономическая социология. 2026. Т. 27. № 1. С. 43–78.
Халиков К.

The aim of this study is to assess the impact of various factors, including social networks, on labor market mobility in modern Russia. The main assumption is that weak ties facilitate taking a better job. The empirical base consists of  data from the Russian Longitudinal Monitoring Survey (RLMS) of HSE for 2016–2017 and 2018–2019. Based on exploratory factor analysis, indicators of different types of social ties were constructed: weak ties include ties with acquaintances and colleagues; with organizations; online networks; and strong ties include ties with friends and relatives. Binary logistic regression estimated the chances of the unemployed going to work, while multinomial logistic regression assessed the chances of employed people for vertical and horizontal interfirm and intrafirm mobility, as well as transitions to unemployment or inactivity. Men, people with higher education, and lower specific work experience are more inclined to labor mobility. The best opportunities for intra-firm growth are among those employed by state enterprises and those holding a higher position. The study found a significant positive effect of increased education and improved health on mobility, a negative effect of health deterioration, and a higher propensity for mobility among those dissatisfied with their current job. Granovetter’s assumption about a greater influence of weak social ties on the ability to get a good job could not be confirmed, although due to the instability of the results, it cannot be refuted either. The model estimates showed a stable and equally strong effect of both strong (with friends) and weak (with acquaintances, former colleagues, neighbors) ties on the chances of finding a job for the unemployed, as well as a negative effect of online social networks on the chances of becoming inactive for the employed. No effect of social connections on intra-firm growth was found, and the effect of online networks on inter-firm promotion was inconsistent.

Research target: Economics and Management Sociology (including Demography and Anthropology
Language: Russian
DOI
Keywords: социальный капиталсоциальные сетипоиск работыsocial capitalsocial networksjob searchмобильность на рынке трудасильные/слабые социальные связиlabor market mobilityweak social tiesstrong social ties
Publication based on the results of:
Monitoring the socio-economic conditions of households in Russia, 1994-2026 (2027)
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