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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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Эффективность государственного управления: в поиске объективной концептуализации и измерения

Вестник Российского университета дружбы народов. Серия: Политология. 2018. Т. 20. № 2. С. 255–268.
Kamolikova V., Shulika Y.

The paper critically analyzes certain approaches in political science literature to understanding the efficiency. Moreover, there are certain problems of its operationalization and quantitative measurement. The authors question accuracy and “objectivity” of the existing concepts and methodologies used by empirical databases on an assessment of state efficiency. The research sets the purpose to reach the “more objective” efficiency which would respond the principles of valuable neutrality (absence of normativism), relevance and generality (suitable for any case regardless of a political regime, form of government, etc.), creating the conceptual frame and operationalization. Authors take an attempt to represent an approach to the “objective” efficiency as the ability of the state to transform its resources into socially significant results with minimal costs. This is supposed to be possible with Data Envelopment Analysis, which provides the production function of effectiveness by using input and output empirical data.

Research target: Political Science, International Relations, and Public Administration
Language: Russian
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Keywords: эффективность государстваeffectivenessнормативностьоболочечный анализ данныхgovernancenormativismкачество государственного управленияData envelopment analysis (DEA)
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