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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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Образ мышления и субъективное благополучие учащихся в период "становящейся взрослости"

Психологическая наука и образование. 2022. Т. 27. № 1. С. 121–135.
Hachaturova M. R., Yerofeyeva V., Бардадымов В. А.

In the current paper the interrelation between students' mindset and subjective well-being during the period of “emerging adulthood” is investigated. The relevance of the research is determined by high intellectual and psycho-emotional loads to the referent group, especially in the context of distance learning, which threatens the students' well-being. A sample of the study includes college students, bachelors, masters, and postgraduates. We assumed that a growth in mindset is correlated with a high level of students' well-being. We also tested the hypothesis about age differences in the level of students' well-being in the period of emerging adulthood. The sample consisted of 317 respondents aged from 16 to 30 years (M = 22.6, SD = 4.97), 232 are female and 85 are male. We used “The Satisfaction with Life Scale”, “The Personal Well-being Index-Adult”, “The Warwick-Edinburgh Mental Well-being Scale”, and “The Mindset Questionnaire”. The results of the study demonstrate significant correlations between mindset and all types of well-being. At the same time, the lowest indicators of the well-being are in the bachelors' group, and the highest are in the college students' group. The results of the study may be used in training programs to improve the level of students' subjective well-being.

Research target: Psychology
Language: Russian
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Keywords: субъективное благополучиеstudentssubjective well-beingобучающиесяemerging adulthoodMindsetобраз мышлениястановящаяся взрослость
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