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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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Представленность России в британских онлайн-источниках в 2022 г.

Вестник Российского университета дружбы народов. Серия: Литературоведение, журналистика. 2024. Т. 29. № 3. С. 534–550.
Sharikov A.

The article examines peculiarities of representation of russia in British online sources in 2022, when russia launched a special military operation in ukraine. the author used a statistical approach to analysis based on the factiva monitoring system, the database of which contains about 4.5 million texts published on 416 British online resources from January 1 to december 31, 2022 at both national and regional levels. sentiment analysis (factiva version) was used to determine the tone of the messages. the analysis showed that in 2022, russia ranked fourth in terms of number of articles with its mention in the analyzed corpus of texts, the first being the united Kingdom itself, the second, the united states, and the third, ukraine. from the point of view of the agenda-setting theory (mcCombs, shaw), this fact indicates the high importance of russia for the uK media. most often, materials mentioning russia on British online resources in 2022 were published by the national editions of “the financial times”, “the independent” and “the times”. at the regional level, the largest number of text materials mentioning russia was found: in england - on the website of the radio station “City am online”; in northern ireland - on the website of “lurgan mail”; in Wales - on the website of “the Western mail”; in scotland - on the portal “thescottishsun.co.uk”. the British media were more focused on covering the non-military aspects of the russian-ukrainian conflict, mainly, on political and economic problems. In general, the neutral tone of this set of materials prevailed, that is explained by the absolute dominance of short non-evaluative information messages in it. This is true for both national and regional publications. At the same time, materials of a negative tone prevail over positive ones when it comes to Russia. A difference was found in the intensity of negative coverage of Russia in national and regional online sources in the UK. The most rigid position is taken by national British sources. Among the regional ones, the negative focus on online resources in England is greater, and sources in Scotland and Northern Ireland show the least negative tone.

Research target: Media and Communications
Language: Russian
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DOI
Text on another site
Keywords: Russiasentiment analysisUnited Kingdomтональность текстасентимент-анализBritish mediarepresentation of Russiaagenda theoryBritish online resourcestone of the textрепрезентация Россиибританские онлайн-ресурсыбританские СМИтеория повестки дня
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