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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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Интеллект, мотивация и копинг-стратегии как условия академических достижений школьников

Вопросы психологии. 2015. № 1. С. 15–26.
Gordeeva T. O., Сычев О. А., Шепелева Е. А.

This ongoing investigation was concerned with  the problem of intellectual and motivational predictors of  academic achievement in secondary and high school students. The study used a battery of tests, including IQ, intrinsic and extrinsic motivational variables and coping strategies (N=420, 6-11th grades). It was shown that intelligence is  a necessary condition of the academic achievement while motivation (namely intrinsic and autonomous motivation) is  a driving force which provides an effective usage of intelligence and can compensate its insufficiency. The analysis of four groups differing in IQ and academic achievement allowed to analyze groups with an ambiguous relation of these two variables. It is shown that successful schoolchildren with relatively low intelligence (using Raven’s Matrices) more rarely use ineffective coping strategies in learning activity, such as inaction, denial, indirect activity, and antisocial activity and more often apply the strategy of active coping, trying to handle difficult situations on their own. Conclusions are made for educational practice which are based on the obtained results and take into account the complicated relationship between IQ and academic success in its own turn determined by the level of difficulty of learning activity, intrinsic motivation and productive coping strategies.

Research target: Psychology
Priority areas: humanitarian
Language: Russian
Full text
Keywords: академические достиженияшкольникиintelligenceинтеллектacademic achievementкопинг-стратегиивнутренняя мотивациянастойчивостьintrinsic motivationschoolchildrenpersistencecoping strategies
Publication based on the results of:
Мотивационные механизмы целеполагания и выбора (2014)
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