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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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Методика идентификации контекстуальных идеологем в цифровом медиадискурсе (на примере медиадискурса о пандемии covid-19)

Вестник Московского университета. Серия 10: Журналистика. 2021. № 5. С. 116–136.
Radina N.

The article discusses the problem of tools for studying digital media discourse and proposes a method for identifying contextual ideologemes in media texts. The substantiation of the methodology is based on the analysis of the terminological and theoretical field of the “ideologeme”. It is argued that the linguistic phenomenon “contextual ideologeme” is reflected in digital media discourse, in transmedia narratives as well as the meaning and features of the impact of the media text. It is proved on the material of media texts about the COVID-19 pandemic (the empirical base relies on resources: Gazeta.Ru; RBC; BBC News Russian Service; Lenta.ru; Life; Meduza; March 2020 - February 2021) that the proposed method is capable of determining contextual ideologemes on the material of large arrays of digitized media texts, hence a formalized procedure allows the creation of verifiable scientific knowledge. As a result of approbation of the methodology, the contextual ideologemes of the Russian-language media discourse about the “first wave” (“new virus” / “coronavirus”) and “second wave” (“vaccination”) of the COVID-19 pandemic are named, common to the media under study, moreover, such a characteristic of the ideologeme as “distortion” is problematized.

Language: Russian
Full text
DOI
Keywords: контекстуальная идеологемапандемияpandemicCOVID-19contextual ideologemedigital media discourseцифровой медиадискурсCOVID-19
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