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September 4, 2026
Time to Showcase Your Research: Applications Are Now Open for Student Research Paper Competition 2026
Taking part in the Student Research Paper Competition (SRPC) gives you an opportunity to present your research to experts, receive an independent assessment, and determine the future direction of your work. The competition is open to students graduating in 2026 not only from HSE University but from universities in Russia and abroad. Papers may be submitted in Russian and English, and in some fields also in French, German, and Spanish.
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.

 

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Психометрические свойства русскоязычной версии шкалы психологического дистресса Р. Кесслера

Психиатрия. 2025. Т. 23. № 2. С. 65–77.
Kislitsyn D., Schapov D., Aleksandrova E.

Background: the effectiveness of a primary screening system for psychiatric disorders in the population can be enhanced
by using short scales with high psychometric properties. Aim: to evaluate the psychometric properties of the Russian version of the Kessler Psychological Distress Scale. Participants and Methods: the data from three online surveys conducted as part of the study “The novel coronavirus crisis and its impact on public health” are used. The rst survey was conducted in May-June 2020, the second in January-February 2021, and the third in November-December 2021. The sample included 1,667 people. Results: both the full and short versions of the scale are characterized by high internal consistency and reliability. Convergent validity of the scales is conrmed by correlations with similar constructs and known factors of psychological distress. Conclusion: the scale can be used by practitioners and researchers to screen and evaluate the severity of nonspecic psychological distress in the Russian-speaking population.

Research target: Psychology
Language: Russian
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Keywords: validationвалидацияпсихическое здоровьеmental healthпсихометрические свойстваpsychological distressпсихологический дистресс psychometric propertiesKessler scaleшкала Кесслера
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