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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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Стратификация по доходу в России: специфика модели и сектор изменений

Общественные науки и современность. 2017. № 2. С. 23–35.
Tikhonova N. E.

In the article results of analysis of characteristics and dynamics of income and subjective stratification models of Russian society are presented, based on data from several nationwide surveys carried out in 1999-2016. It is shown that the current model of income stratification is characterized by the dominance of the middle strata and is adequately reflected in public consciousness, based on the self-assessment of the positions people hold in the society. Economic crisis that started in 2014 so far did not cause any serious changes in the income stratification model or the assessment of their positions in society by Russians.

As for the methodological results of the analysis, it is shown that the optimal methods for income stratification of Russian society should be found among the relative methods used in developed countries, but not among the absolute methods used in developing countries. In addition, given Russia's regional heterogeneity in terms of modernization progress, it is more expedient to use the aggregate model of income stratification constructed on the basis of pre-stratification of regional communities than models based on the average measures for the country as a whole for the analysis of the social structure.

Research target: Economics and Management Sociology (including Demography and Anthropology Political Science, International Relations, and Public Administration
Priority areas: economics sociology state and public administration humanitarian
Language: Russian
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Keywords: социальная структурасоциальная стратификацияdifferentiation of incomesсубъективный социальный статусденежные доходы населенияsocial structure in Russiaдоходная стратификация российского обществаincome stratification
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