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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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?

От чего зависят удовлетворенность аспирантурой и намерения ее завершения у современных аспирантов?

Психологическая наука и образование. 2024. Т. 29. № 4. С. 5–15.
Marchuk L., Gordeeva T. O.

The article focuses on the role of motivational factors in the successful completion and satisfaction with postgraduate programs. PhD students (N=155,
M=26,8, SD=4,2, 63% women) participated in the study. The theoretical framework is based on self-determination theory, which provides an understanding
of the sources of autonomous and controlled motivation for research activity.
A battery of questionnaires was used to assess autonomous and controlled
motivation for postgraduate programs (the Universal Perceived Locus of Causality scales, UPLOC, and the Doctorate-related Need Satisfaction Scale, DN2S), publication activity, intentions to complete the postgraduate program,
and satisfaction with it. The results of the study demonstrated that autonomy
need satisfaction was a predictor of autonomous motivation and satisfaction
with the postgraduate program, whereas competence and relatedness needs
satisfaction were predictors of intentions to complete the postgraduate program. Path models also showed that autonomy need satisfaction is a predictor of low levels of controlled motivation, which in turn is a negative predictor
of intentions to complete the postgraduate program and satisfaction with it.
It is concluded that it is important to study and monitor motivational factors,
considering their predictive power in relation to PhD students’ performance.
Recommendations are offered to supervisors and faculty to support PhD students’ basic psychological needs for autonomy, competence, and relatedness
to foster their voluntary engagement and success in the research process.
 

Research target: Psychology
Language: Russian
Full text
DOI
Text on another site
Keywords: мотивацияmotivationудовлетворенностьавтономная мотивацияаспирантыself-determination theoryбазовые потребностиautonomous motivationконтролируемая мотивацияbasic psychological needsPhD studentsамотивацияAmotivationsatisfaction with studies
Publication based on the results of:
Existential foundations of life well-being (2024)
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