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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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Проблема бегства капитала и пути ее решения

Финансы и кредит. 2019. Т. 25. № 1 (781). С. 55–69.
Kosov M.

Objectives The purpose is to investigate offshore financial centers and zones, offer options to decrease the elements of the shadow economy in financial offshore centers, and increase cash inflow to tax authorities of the Russian Federation.


Methods The study draws on the overview of academic literature, synthesis and analysis of obtained information, comparison, formalization and specification.


Results The paper offers certain solutions to the capital flight problem in the Russian Federation. The findings may be useful in efforts to reduce capital outflow from Russia to offshores, to create more favorable conditions for doing business in the country.


Conclusions It is crucial to improve the investment climate in our country in order to reduce foreign investment outflow, hold capital amnesty and deoffshorization of international transactions, and regulate capital transfer. Improving the investment climate and a flexible taxation within the country are two interconnected factors, which may help strengthen the investment appeal of Russia.

Language: Russian
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Keywords: налогообложениеглобализацияglobalizationtaxationбегство капиталафинансовые центрыoffshore zonefinancial center capital flightофшорные зоны
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