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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.’
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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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Territorial Differences in Mortality and Mortality Risk Factors in Russia

Studies on Russian Economic Development. 2025. No. 36. P. 506–513.
Revich B. A., Larionov A., Kharkova T. L.

This study discloses risk factors in territories with high population mortality rates. The study consists of two phases: in phase one, the list of such territories is determined by estimating regional standardized mortality coefficients (SMC); in phase two, a statistical estimation of mortality risk factors is made. The final sample includes 18 territories with high mortality rates. A panel data analysis is made for selected territories for identifying high population mortality risk factors. Three classes of indicators are used as explanatory variables: socioeconomic characteristics, medical and organizational measures, and public safety indicators for the period from 2010 to 2023. According to the study results, the specific proportion of urban population (for men) and a rise in the number of doctors have the greatest influence on the mortality rate reduction. A rise in mortality rates is caused by an uneven distribution of household income (high values of Gini’s coefficient) and by crime situation changes (an increased number of grievous and extremely grievous crimes).

Research target: Sociology (including Demography and Anthropology Political Science, International Relations, and Public Administration
Language: English
DOI
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Keywords: смертностьmortality
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