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News
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.’
August 21, 2026
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.

 

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Психолингвистический эксперимент «событие с заданной оценкой» (в американской культуре)

Известия Самарского научного центра Российской академии наук. 2012. Т. 14. № 2. С. 235–243.
Troshchenkova E.

The results of the interrogative psycholinguistic experiment described in this article is part of a broader research of how soci-ocultural knowledge influences communication in the Internet discussions by readers of American press. The experiment allows obtaining a complex model of positively/negatively evaluated events in the American society, paying special attention to the value-evaluation component. This model can further be a basis for explanation of the communicative strategies of argumentation and manipulation used in verbal description of events. The type of sociocultural mental structures described in the article is viewed as a dynamic cognitive gestalt that can be potentially split into a number of parameters, but is not reducible to their sum, which is characterized by both individual existence in the mind of a native speaker and distributed existence in a sociocultural community as an abstract social invariant. The article discusses advantages of psycholinguistic approach to modeling the fragments of this background knowledge compared to using exclusively introspective text analysis, as it allows to separate methodologically the research of mental structures and particular instances of verbal communication that are based on those structures and gives an opportunity to avoid the vicious circle of studying communicative strategies used in the text exclusively modeled from the same text material.

Research target: Philology and Linguistics Education Psychology Sociology (including Demography and Anthropology
Priority areas: humanitarian
Language: Russian
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Keywords: valuesценностиmental representationsociocultural knowledgeinterrogative psycholinguistic experimentментальная репрезентациясоциокультурное знаниеинтеррогативный психолингвистический экспериментпсихолингвистикасоциолингвистикапсихология общенияметоды лингвистических исследованийпроцессы коммуникации
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