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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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Стиль научного руководства как предиктор мотивации и выгорания аспирантов

Психологическая наука и образование. 2025. Т. 30. № 3. С. 100–110.
Marchuk L.

The research of the relationship between academic supervision styles and postgraduate students’ motivation, perseverance, well-being and burnout is presented. The study involved 142 PhD students (M=28.8, SD=5.2, 54% female). The theoretical basis of the work was self-determination theory, which allows us to understand the contribution of styles that support or frustrate basic psychological needs to the motivation and intrinsic outcomes of postgraduate students' research activities. The study used the Universal Perceived Locus of Causality (UPLOC), Academic Supervision Styles (QA2S), burnout scales, and well-being (The PERMA Profiler) questionnaire. The results showed that the factors of autonomous motivation are autonomous and structuring academic supervision styles, whereas the factors of external motivation and amotivation are controlling and chaotic academic supervision styles. The quality of motivation mediates the effect of academic supervision styles on PhD students’ perseverance and burnout. Autonomous and structuring styles are positively and chaotic and controlling styles negatively related to total and selected aspects of well-being. Autonomous and structuring styles are the most favourable for PhD students. Мastering them and getting rid of unfavourable styles (controlling and chaotic) can be targets of work when organising the professional development of academic supervisors.

Research target: Psychology
Language: Russian
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Keywords: мотивацияmotivationwell-beingнастойчивостьблагополучиебазовые психологические потребностиаспирантытеория самодетерминацииself-determination theoryperseveranceburnoutвыгораниеbasic psychological needsPhD studentsacademic supervision stylesстили научного руководства
Publication based on the results of:
Existential foundations of life well-being (2024)
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