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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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Elusive Sources for Gender Differences in Spatial Ability: The Role of Personality, Spatial Interests, and Everyday Behaviours

Psychology in Russia: State of the Art. 2025. Vol. 18. No. 1. P. 35–59.
Elina S. Tsigeman, Ksenia V. Bartseva, Evgeniia A. Alenina, Soldatova E., Yulia V. Kovas, Maxim V. Likhanov

Background. A! er decades of research, gender di" erences in spatial abilities (SA) remain poorly understood. Among factors that may contribute to these di" erences are self-perceived SA, inclinations, everyday behaviour and interests in SA-related activities, and related personality characteristics. In order to understand these links, a multifactorial approach is needed. Objective. # is study explored the relationships among SA, spatial interests, and personality among adolescent boys and girls. Design. # e study recruited 660 participants (mean age = 15.04, SD = 1.08; 48% females) from public schools. Participants contributed data on a battery of SA tests; 8 personality traits: Big Five and Dark Triad; as well as SA-related activities: spatial interests and school commute information (mode and time) as a proxy for everyday spatial behaviour. Results. Weak-to-moderate mean gender di" erences were observed: males scored higher on spatial ability, spatial interests, machiavellianism, and psychopathy; and females on agreeableness, openness to experience, and neuroticism. Hierarchical regression analyses revealed some gender di" erences in associations among personality traits and SA. In males, openness to experience and conscientiousness were signi$ cantly related to SA test performance. In females, openness to experience, extraversion, agreeableness, and machiavellianism contributed to SA performance. Although spatially-related interests were linked to SA, they were not signi$ cantly predicted by personality traits. Everyday spatial behaviour showed no relationship with personality traits or SA.

Research target: Psychology
Language: English
DOI
Keywords: personalityBig FiveDark Triadspatial abilityspatial interest
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