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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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Измерение политического знания: разработка и апробация шкалы в России

Социология: методология, методы, математическое моделирование. 2021. № 52. С. 61–94.
Klimova A. M., Artamonov G., Chmel K.

To our knowledge, this is the first paper which develops and validates the scale of political knowledge in Russia. The scale was validated in a telephone survey using random sampling (N = 3002). The scale includes 10 questions on the knowledge of political institutes, main political actors, substantial events, international politics, and history of the state. The scale showed sufficiently high internal consistency. Cronbach's alpha was equal to 0.74. In addition, the validity of the instrument was tested based on socio-demographic variables, interest in politics, news discussion, media consumption, and political behavior. Finally, the IRT (Item-Response Theory) results showed quite a high quality of the scale. Overall, we conclude that this scale can be used to measure political knowledge in Russia.

Research target: Social Sciences Sociology (including Demography and Anthropology Political Science, International Relations, and Public Administration
Language: Russian
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Keywords: критериальная валидностьIRTIRTcriterion validityнадежность-согласованностьconvergent validityконвергентная валидностьpolitical knowledgeinternal consistencyCronbach alphaKR20политическое знаниеальфа КронбахаKR20
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