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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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Воспроизводство электоральных паттернов голосования на субнациональных выборах

Политическая наука. 2019. № 2. С. 198–218.
Korneeva E.

The article examines the stability of electoral support of political parties and candidates on subnational elections in Moscow. This study investigates the dynamic of voter turnout on different levels and types of elections, as well as the stability of the reproduction of electoral voting patterns based on a comparative analysis of federal, regional and municipal campaigns. The research covers the elections which took place between 2003-2018 in Moscow. The results of research suggest that the drop of voter turnout on subnational level of elections occurs due to a decrease of electoral support of «United Russia», that explained by the larger size of their electorate. The study also shows that opposition mobilization could be effective on the municipal level. Basically, the analysis showed that campaigns of mayoral election can be described by widespread pro-government mobilization in the absence of strong competitors to incumbent, or by consolidating the electorate of systemic and non-systemic opposition around an active opposition leader. Consequently, electoral authoritarianism is not able to restrain the protest mobilization in the existence of consolidation leader on the mayoral elections.

Research target: Political Science, International Relations, and Public Administration
Priority areas: state and public administration
Language: Russian
Full text
DOI
Text on another site
Keywords: оппозицияincumbentэлекторальное поведениеабсентеизмoppositionмуниципальные выборыэлекторальный авторитаризмelectoral behaviorelectoral authoritarianismmunicipal electionsэлекторальная мобилизация
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