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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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Do Counter-sanctions in Agriculture Promote Growth? Evidence from Russia

Applied Economics. 2024. Vol. 56. No. 56. P. 7563–7574.
Kotyrlo E., Zaytsev A.

This study evaluates the effect of the Russian agri-food embargo introduced in 2014. The embargo was expected to boost growth in Russian agriculture due to an import substitution policy. To isolate its effect on the Russian agricultural growth rate from other factors like currency devaluation, overall economic stagnation and external financial sanctions, we used the difference-in-differences method applied to regional-level data (2006–2017). The results reveal a positive effect of the embargo on agricultural growth. However, this effect did not cause long-term growth and was observed in 2015–2016. An additional acceleration in the growth rate of agriculture gross value added by 5.1 pp occurred across all Russian regions in 2015. A more prolonged and considerable two-year effect is found for regions that are key Russian agricultural producers (+12.3 pp), regions specialized in cattle breeds and livestock systems (+11.5 pp) and regions with a high share of agricultural holdings (+7.5 pp). The possible reasons of the short-term effect from agri-food embargo are sudden nature of the policies and absence of long-term prospects that undermined potential investments. Another possible reason is a lack of a corresponding industrial policy to incentivize agricultural equipment production.

Research target: Economics and Management
Language: English
Full text
DOI
Keywords: agricultureCounter-sanctionspolicy evaluation difference-in-differences food import banagri-food embargo
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