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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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Динамика финансовой хрупкости компаний нефинансового частного сектора Гонконга во взаимосвязи с ходом делового цикла

AlterEconomics (ранее - Журнал экономической теории). 2024. Т. 21. № 3. С. 474–496.
Березкина О. А., Rozmainsky I. V.

This article examines the financial instability hypothesis in Hong Kong's contemporary economy, investigating whether the proportion of financially fragile firms rises during cyclical upswings as economic crises approach. Two criteria developed by Mulligan and Nishi were used to assess financial fragility in the private sector from 2006 to 2022. The Mulligan criterion was applied to 94 leading firms by capitalization, while the Nishi criterion was applied to the top 99 firms. Findings indicate that, prior to the Great Recession, the share of financially fragile firms—characterized by speculative or Ponzi financing—increased, peaking just before the crisis and again during the COVID-19 pandemic. While the financial instability hypothesis is partially supported, the high proportion of financially fragile firms in 2016–2017 contradicts this hypothesis. Overall, our analysis shows that hedge financing regimes predominated among Hong Kong’s private companies. The relatively low share of financially fragile firms compared to those in Southern European countries can be attributed to the absence of austerity measures in Hong Kong, as local authorities did not attempt to address budget deficits due to their minimal levels. Additionally, the Hong Kong Monetary Authority’s policy to curb excessive bank lending during economic expansions contributed to the dominance of hedge firms. The tourism and transport sectors are the most financially fragile industries.

Research target: Economics and Management
Language: Russian
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Keywords: Great RecessionВеликая рецессияГонконгфинансовая хрупкостьгипотеза финансовой нестабильностиfinancial instability hypothesisMinskyfinancial fragilityHong KongХайман Мински
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