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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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Развлекать и властвовать: образы российской власти и оппозиции в интернет-мемах

Вестник Московского университета. Серия 10: Журналистика. 2019. № 3. С. 23–43.
Shomova S.

The political Internet meme is one of the little-studied phenomena of modern
digital culture. Understood as a unit of transmission of cultural information in the
network, such a meme can be viewed, on the one hand, as a spontaneous product of
the creative work of many people, a mechanism of political participation and, on the
other, as a tool of political PR technologies, a way to “overstate” or “understate” the image of a political leader. The novelty of the proposed article, which is devoted to
the results of the study of the memes posted on Russian social media in 2017–2019,
is in the fact that it describes the first attempt to trace the formation of the images of
Russian power and opposition embodied in memetic constructions. Using the methods
of communication research (primarily those of semantic, semiotic and comparative
analysis), as well as relying on expert interview data, the author of the article
solves the main task of identifying the leading varieties of Runet’s political memes as
well as the semantic characteristics of the memes that form the image of Russian
politicians. One of the most important conclusions could be the observation that from
the point of view of the potential of their viral spread and the possibility of being noticed
by the Runet audience the most effective Internet memes are “negative”, aggressive
political ones (the memes that work to “understate” the image of a political persona /or idea /or event).

Research target: Political Science, International Relations, and Public Administration Media and Communications
Priority areas: humanitarian
Language: Russian
Full text
DOI
Text on another site
Keywords: оппозициявластьновые медиаполитическая коммуникацияполитический имиджИнтернет-мем
Publication based on the results of:
Политический мем в Рунете: войны, выборы и протест (2018)
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