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News
September 4, 2026
‘Hedgehog Versus ‘Relatives: Researchers Measure How the Brain Responds to Unexpected Words During Natural Speech
Russian neurophysiologists, including researchers from HSE University, have demonstrated the feasibility of using event-related fields (ERFs) to study brain activity during natural speech perception. The researchers showed that this approach can be applied not only to individual words but also to continuous speech. Their findings indicate that words whose meanings differ significantly from the preceding context require longer processing times. The study also reveals that the brain processes function words in two stages: first, it identifies their grammatical role and then uses this information to predict the next word. The study has been published in Frontiers in Human Neuroscience.
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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The Economically Inactive Population in Russia

Sociological Research. 2016. Vol. 55. No. 4. P. 274–290.
Varshavskaia E., Denisenko M.

This work is an analysis of the level and dynamics of economic inactivity in Russia in the 2000s, describing the main sociodemographic characteristicsof economically inactive people and the reasons for their nonparticipation, making a cross-country comparison of Russia and the countries of the Organization for Economic Cooperation and Development. The empirical basis consists of population surveys on employment issues. The reserves for increasing the labor supply from those ages twenty-five to forty-nine are found to be almost exhausted for women and significantly limited for men. Reduction of economic inactivity of the population is possible mainly by drawing on younger and older people. This requires institutional and socioeconomic changes (increasing the retirement age, increasing the diversity of forms of employment, creating opportunities for combining study and work, improving health, etc.).

Research target: Sociology (including Demography and Anthropology Economics and Management
Priority areas: economics sociology
Language: English
Full text
DOI
Keywords: Russialabor supplyEconomic inactivity
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