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News
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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Факторы возникновения коллективных действий российских врачей в период COVID-19

Журнал институциональных исследований. 2023. Т. 15. № 3. С. 91–105.
Vaksina K., Kazun A.

The COVID-19 pandemic has presented challenges not only for the general population but also for healthcare workers in Russia. In this study, we conducted an analysis of the factors influencing the emergence and success of mobilization among healthcare workers in a specific region. Through an examination of media publications from March 2020 to February 2021, we gathered information on 464 collective actions that garnered public attention. The analysis reveals that the socio-economic characteristics of the region, as well as the burden of the epidemic on medical personnel, were influential factors in the emergence of public campaigns. Furthermore, the success of these collective actions was found to be correlated with the dynamics of the real income of the local population. This study represents the first comprehensive analysis of collective actions among healthcare workers in Russia during the pandemic, providing valuable insights for developing recommendations on supporting healthcare professionals during epidemic situations.

Research target: Sociology (including Demography and Anthropology Media and Communications
Language: Russian
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Keywords: health care systemколлективные действиямедицинские работникисистема здравоохраненияcollective actionsocio-economic indicators medical workersCOVID-19 pandemicпандемия COVID-19epidemiological indicatorsэпидемиологические показатели социально-экономические показатели
Publication based on the results of:
Institutions, human capital and the quality of public governance as factors of economic development during the crisis period (2023)
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