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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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Связь отношения к дистанционному обучению студентов с отчуждением от учебы и эмоциональным выгоранием

Психологическая наука и образование. 2022. Т. 27. № 1. С. 136–146.
Nevryuev A. N., Сычев О. А., Sarieva I.

This article describes the study of the link between the students' preference for distance or traditional education and alienation from studying and emotional burnout.Additional variables such as the subjective evaluation of the success of studies, self-control, and academic control were also analysed.An empirical study was conducted on a sample of 359 students using the questionnaire to evaluate 1) preferred forms of education, 2) subjective alienation and burnout for students by E.N.Osin, 3) the scale of academic control by R.Perry and 4) the short scale of self-control by J.Tangney.Data analysis showed that a cautious, rather negative attitude toward distance learning prevailed among students, combined with a preference for traditional and mixed forms of education.Positive correlations were found between the preference for distance learning and alienation and burnout, as well as negative correlations with academic performance, self-control, and academic control.Structural equation modelling confirmed the assumption that the preference for distance learning is directly related to alienation and burnout, as well as indirectly (through burnout and alienation) and inversely related to self-control and academic control.It is concluded that under the conditions of forced distance learning at a university caused by the COVID-19 pandemic, the preference for distance learning is more typical for less successful students experiencing alienation from study and emotional burnout, combined with a lower level of academic control and self-control

Research target: Psychology Education Sociology (including Demography and Anthropology
Language: Russian
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Keywords: дистанционное обучениеdistance learning
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