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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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Внутренние факторы результативности экспорта образования в российских вузах

Вопросы образования. 2018. № 3. С. 146–179.
Melikyan A.

A survey was carried out in order to analyze the relationship between the universities’ internal factors and the indicators of their education export performance. Quantitative data was collected to describe the activities of Russian universities over recent years. Regression analysis was used to identify relationship between the indicators. The sample consisted of 173 universities from different federal districts of Russia. Achievement of the research goal necessitated the construction and quantitative assessment of various regression model specifications calculated based on how variable values changed over time. Estimates confirm a positive relationship between the number of international network partnerships, the number of double degree programs, and success in education export. The degree of diversification of education programs available to international students correlates negatively with enrollment of foreign students. The cost of educational services and the level of commercialization of higher education for foreign students demonstrate a positive relationship with education export revenues but show no relationship with the number of foreign students in a university. No relationship was found between online presence of universities, implementation of transnational education programs and education export performance. The findings are used to discuss promising vectors of education export development for Russian universities.

Research target: Education Economics and Management
Priority areas: management
Language: Russian
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DOI
Text on another site
Keywords: иностранные студентыinternational studentsмеждународная деятельность вузовthe global education marketмеждународный образовательный рынокдоходы вузовэкспорт высшего образованияhigher education exportuniversities’ global activitiesuniversity revenues
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