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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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Local Factors of COVID-19 Severity in Russian Urban Areas

Regional Research of Russia. 2024. Vol. 14. No. 2. P. 227–239.
R. V. Goncharov, Kotov E., V. A. Molodtsova

The COVID-19 pandemic has demonstrated that the lack of consideration of the local specifics of territories—the specifics of socioeconomic interactions, characteristics of the labor market—when developing measures to respond to epidemiological threats leads to serious social or economic consequences. The creation of a typology of municipalities (in this study of urban okrugs) makes it possible to more accurately select measures to regulate socioeconomic interactions in the event of future complications of the epidemiological situation. Clustering of municipalities according to a set of local factors that significantly explain the severity of the pandemic in its first year made it possible to identify three types of urban okrugs, differing both in population size and intensity of socioeconomic interactions: these are key service centers with a high intensity of interactions, local centers with medium intensity of interactions, and small cities with low intensity of interactions.

Research target: Social and Economic Geography (including Urban and Transportation Studies)
Language: English
DOI
Text on another site
Keywords: РоссияRussiaизбыточная смертностьCOVID-19 pandemicпандемия COVID-19типология городских округовсоциально-экономические взаимодействиятяжесть прохождения пандемииfactors of excess mortalityseverity of the pandemicsocioeconomic interactionstypology of urban okrugs
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