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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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Статистический анализ влияния гендерного признака на качество обучения математике студентов втуза

Сертификация. 2017. № 4. С. 31–35.
Maksimova O., Богомолова Е. П.

The transition to the competency standards of higher professional education requires an intensification of the educational process. To improve the quality of higher education should take into account not only the traditional long identified factors, but also new, come to the attention in recent decades. This article investigated the influence of gender-specific teaching of higher mathematics in engineering universities on the basis of statistical material collected one of the top technical universities in Moscow. In terms of gender be considered such factors as motivation and professional development of students, discipline and responsibility of homework, ability to geometric and algorithmic thinking, intrinsic and extrinsic motivation. Analyzes of teaching mathematics from a gender perspective in order to achieve the intensification and success in training in preparation for undergraduate engineering areas.

Research target: Mathematics Education
Priority areas: mathematics
Language: Russian
Full text
Keywords: качество высшего образованиястатистический анализпедагогикадисперсионный анализquality of higher educationгендерный признакgender educationanalysis of variance statistical analysisbox and whiskerящик с усами
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