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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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Рецепция научного интернет-текста: экспериментальное исследование

Неофилология. 2023. Т. 9. № 4. С. 940–958.
Kozhemyakin E., Белоедова А. В., Дубровская Т. В., Тяжлов Я. И.

The results of an experimental study are discussed, the purpose of which is to determine the general and specific principles of the reception of a academic text posted on the Internet, taking into account a group of communicative and technological factors, including the possibility of using interactive elements that control attention and perception of the text (affordances), and the use of extralinguistic material elements. Through a combination of methods – oculographic research, user experience analysis (UX-observation) and semi-structured interview – the data were obtained indicating the areas of attention and the structure of reading scientific Internet articles by users, as well
as tactics of interacting with the text and understanding its content, depending on the presence or absence of affordances. The readers of scientific texts have academic affiliations and different experience of interacting with scientific materials. The authors come to the conclusion that it is necessary to take into account two groups of data in the course of studying the reception of a academic text: visual fixation on a text element / behavioral reaction to it and verbal representation of a text element during an interview. The paper draws preliminary inferences about how the readers perceive scientific Internet articles depending on the technological organization of the context. In
conclusion, the requirements are offered for the organization of the main stage of the research.

Research target: Media and Communications
Language: Russian
Full text
Keywords: рецепцияaffordanceаффорданс receptionнаучный интернет-текстacademic web texts
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