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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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Шкала оценки идеального партнера (IPRS): перевод, адаптация и валидация для русской культуры

Социальная психология и общество. 2025. Т. 16. № 3. С. 219–238.
Проворова А. А., Semenova D., Манокин М. А.

Context and relevance. Current demographic changes and people’s growing awareness of the complexities of living together make choosing a partner a more conscious and demanding process. In the context of cultural differences and the need for cross-cultural comparisons, it is important to adapt instruments such as the IPRS to study preferences in romantic relationships in the Russian context.

Objective. The objective of this study is to adapt the Russian-language version of the Ideal Partner and Relationship Rating Scale (IPRS) developed by J. Fletcher and colleagues, with subsequent verification of its psychometric properties (reliability and validity) in the Russian cultural context. Hypothesis. It is assumed that the Russian-language adaptation of the IPRS scale will demonstrate structural compliance with the original English-language version of the questionnaire.

Materials and methods. The study involved 709 people aged 16 to 63 years, mainly students and university graduates, 60% of whom were women. The analysis of the questionnaire structure was carried out through exploratory and confirmatory factor analyses. The reliability of the questionnaire was tested using Cronbach’s and McDonald’s α indicators. Data processing and analysis were performed in the statistical environment RStudio (R v1.1.456) and JASP 0.19.3.

Results. The results of the study demonstrated that the Russian-language adaptation of the modified version of the ideal partner assessment scale corresponds to the empirical data of the Latvian and Colombian samples. However, despite the high psychometric indicators of the original model, adjustments were made: the scale "Good sense of humor" was excluded due to low factor loading and substantive error covariances between the items were taken into account.

Conclusions. The study showed that, although the basic parameters of the ideal partner demonstrate cross-cultural similarity, modification of the diagnostic tools is required taking into account cultural characteristics. In further studies, it is advisable to focus on a detailed analysis of the impact of socio-demographic variables on the formation of the ideal partner, as well as on the creation of methodological recommendations for the application of this approach in counseling work.

Research target: Sociology (including Demography and Anthropology Psychology
Language: Russian
DOI
Text on another site
Keywords: молодежьсемьябракfamilyсожительствоmarriageyouthcohabitationвыбор партнераpartner choicepartner evaluationideal characteristicsadaptation of methodsоценка партнераидеальные характеристикиадаптация методов
Publication based on the results of:
Strategic behavior of companies and individuals under conditions of technological transformation in Russia (2025)
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