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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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Building New Markets: A Comparison between Russian and American Credit Card Markets

Socio-Economic Review. 2005. Т. 3. С. 437–466.
Guseva Alya

Based, in part, on original fieldwork in Moscow, Russia, in 1998, 1999 and 2004, this paper focuses on two markets at their conception points-the American credit card market of the late 1950s and 1960s and the Russian credit card market of the 1990s. Emerging credit card markets need to solve two problems: the problem of uncertainty inherent in lending and the complementarity problem of simultaneously attracting merchants and cardholders. American banks jump-started the market by mailing unsolicited cards to thousands of unsuspecting and unscreened individuals. This resulted in staggering losses, but helped to attract merchants. American banks eventually solved the uncertainty problem through formal institutional means: they shared account information with third parties (credit bureaus) and based pre-screening on the calculation of risk, which made bank-customer relationships completely impersonal. The dominant way to disseminate cards in Russia is through payroll agreements with enterprises, whereby the employees are issued cards secured by their salaries directly deposited to the bank. Not only does the rapid increase of cardholders attract merchants, but payroll projects also solve the uncertainty problem through two-stage embeddedness: banks rely on employing organizations to mediate their relations with cardholders. As a result of dissimilar solutions to the uncertainty and complementarity problems, the structures of Russian and American credit card markets differ as well. 

Research target: Sociology (including Demography and Anthropology Economics and Management
Language: Russian
Text on another site
Keywords: uncertaintycredit cardsNew markets
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