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September 4, 2026
Time to Showcase Your Research: Applications Are Now Open for Student Research Paper Competition 2026
Taking part in the Student Research Paper Competition (SRPC) gives you an opportunity to present your research to experts, receive an independent assessment, and determine the future direction of your work. The competition is open to students graduating in 2026 not only from HSE University but from universities in Russia and abroad. Papers may be submitted in Russian and English, and in some fields also in French, German, and Spanish.
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.

 

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Delta Берроуза для древнегреческих авторов: опыт применения

Schole. Философское антиковедение и классическая традиция. 2022. Т. 16. № 2. С. 693–705.
Alieva O.

This paper tests the effectiveness of Burrow’s Delta Method on a corpus of selected prose writings in ancient Greek. When tested on a corpus of fourteen and eight authors, the method yields good results with relatively small samples (1000, 3000, and 5000 words) and different word frequency vectors (100, 200, 500 words), but its performance is worse with texts of similar genres (oratory, historical or medical writings). We conclude that it is the generic proximity that influences the results of classification most. However, in cases where confusion is more likely, such as the writings of Demosthenes and Aeschines, the method proves effective for shortlisting potential authors. Shortlists can give an adequate idea of a sample’s nearest neighbors while leaving some freedom for the researcher in interpreting the results.

Research target: Philology and Linguistics Philosophy, Ethics, and Religious Studies
Language: Russian
Full text
DOI
Keywords: машинное обучениеquantitative methodsmachine learningstylometryстилометрияколичественные методыdeltaMost Frequent Wordsчастотные словаBurrows's Delta
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