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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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И доверие, и закон: как социальный капитал и формальные институты влияют на соблюдение ковидных ограничений

Вопросы теоретической экономики. 2025. № 4. С. 133–143.
Kazun A.

Th is article analyzes the interaction between social capital and formal institutions in the context of compliance with restrictive measures during the COVID-19 pandemic in Russia. Developing a theoretical framework based on concepts of social capital and institutional economics, the study tests hypotheses regarding the substitution or complementarity of these mechanisms. Drawing on data from the online survey “RoCIRR 2” (more than 10,000 respondents from 61 regions of Russia in 2024), it examines the infl uence of generalized interpersonal trust and subjective assessments of the quality of public services (healthcare, police, courts) on the population’s degree of intolerance to violations of the self-isolation regime. Hypotheses are formulated about the positive eff ect of institutional quality and trust, as well as their interaction as substitution or mutual reinforcement. OLS models with fixed regional eff ects and controls show that trust has no independent eff ect but enhances the infl uence of institutional quality at high assessments. At low institutional quality, trust reduces the need for regulation. The results contribute to understanding the role of informal norms under conditions of moderately developed formal institutions, which are characteristic of Russia. Th e conclusions have implications for policies aimed at increasing the population’s readiness to follow government directives in crises, emphasizing the need to strengthen both trust and formal institutions.

Research target: Economics and Management Sociology (including Demography and Anthropology
Language: Russian
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DOI
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Keywords: социальный капиталдовериеsocial capitaltrustCOVID-19formal institutionsCOVID-19norm complianceформальные институтысоблюдение норм
Publication based on the results of:
Institutions, human capital and regional Development: historical analysis and contemporary challenges (2025)
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