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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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О псевдоидентификации в русском языке (на примере обозначений человека в русских литературных текстах)

Вестник Новосибирского государственного университета. Серия: Лингвистика и межкультурная коммуникация. 2020. Т. 18. № 2. С. 5–12.
Botchkarev A.

There is no way to identify an animate object other than to describe its specific characteristics which necessarily look
like deviations from the normal “average” pattern, named here paragon, in which the Axiological Standard of a human
group is fixed. Of particular heuristic interest is, in this regard, the logical pattern, often used in Russian for describing
such a deviation: (he / she is) not A, but B, in which a human creature is being denied the property of being
human, but is assimilated to fire, flint, rag, chump, mouse, dough, etc. The variety of descriptions (pseudoidentifications) is explained by his or her need to focus attention on some remarkable feature of person’s character, incompatible with the paragon of accepted traits included in it as a result of the evaluation responses of his or her fellow countrymen. Although they have a greater illocutionary force than a simple statement of a deviant property, these identifications cannot be checked for “truth”, in particular, for compliance with the “real” state of things. They are pseudo-identifications which can only be verified for compliance with some kind of attitude, defining what properties should be used to qualify a person and what should be the ideal sample selected as an auxiliary object in an ideal scenario.

Research target: Philology and Linguistics
Priority areas: humanitarian
Language: Russian
Full text
DOI
Text on another site
Keywords: русский языкметафораоценкаevaluationRussian languageидентификацияaxiologyаксиологияidentificationобразецopinion conceptual metaphorpseudo-identificationre-identificationparagonпсевдоидентификацияреидентификация
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