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News
August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.
August 24, 2026
Researchers Develop Method for Direct Generation of Regulatory DNA
Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’
August 21, 2026
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.

 

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Агрессия и тревожность до и во время COVID-19 (на основе опроса московских и казанских студентов)

Вопросы психологии. 2021. Т. 67. № 6. С. 65–77.
Burkova V., Butovskaya M., Зинурова Р. И.

This paper presents the results of a longitude study conducted on samples of Moscow and Kazan students before (2016-2019) and during (2020-2021) the COVID-19 pandemic. The sample of Kazan is represented by pre-pandemic data and responses during the first wave COVID-19. The Moscow data was collected before the pandemic and during the three waves of the COVID-19. The total sample of the study is 2194 people. The goal is to assess changes in the level of anxiety and aggression before and during the COVID-19 pandemic among students from the two regions of Russia - Moscow and Kazan. The analysis revealed significant changes in the stress level of young people: the level of anxiety before the pandemic was the lowest in both samples, while the dynamics of changes in the level of anxiety in the Moscow sample during COVID-19 (data for all waves) showed significant decrease of the stress level from the1st to the 3rd wave. Hence, people adapt to a stressful situation. The level of aggressive behavior on all scales (except for anger among Kazan students) have been decreased during pandemic, compared to the pre-pandemic level. Our data may help to assess the psychological consequences of global stress in populations from two large cities from Russia and contribute to the fight against COVID-19.

Research target: Sociology (including Demography and Anthropology Psychology
Language: Russian
Full text
Keywords: тревожностьагрессияanxietystressстрессaggressionCOVID-19COVID-19
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