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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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Emotional Waves of a Plot in Literary Texts: New Approaches for Investigation of the Dynamics in Digital Culture

P. 299–309.
Martynenko G., Sherstinova T.

Digital technologies provide new opportunities for the study of objects of cultural heritage. The paper deals with investigation of the dynamics in literary and musical texts. It is hypothesized that, from a linguistic point of view, it is not by accident that the action in text develops from the beginning (the exposure) through the introduction to the climax, and from the climax to the denouement, but it always has a certain tendency, which can be visualized. In the given research three ʻsmall genres’ are being investigated: Russian short stories, Russian classical sonnets and classical Russian romances which belong to a hybrid genre of both musical and verbal nature. Generalized profiles of the plot development were made by means of statistical time series method, but with different parameters for different genres. Thus, literary texts were analysed based on measurement of sentence length, poetry texts were measured by stress index, whereas romances were measured both by poetry stress index and musical pitch/duration index. The other variables related to plot development may be used as well. The dynamics of each genre is visualized by means of curves resembling the ʻline of beauty’ proposed by William Hogarth. In conclusion, the received results are compared with dynamic contours obtained by applying sentiment analysis to a big data collection of texts belonging to world classical literature. The obtained results testify that there exist some universal regularities in text and plot generation, which may be revealed independently to research methodology.

Language: English
DOI
Keywords: plotliteraturepoetryromanceRussian short storyanalysis of time seriesdigital culture Interdisciplinary research

In book

Digital Transformation and Global Society. Third International Conference, DTGS 2018, St. Petersburg, Russia, 2018, Revised Selected Papers. Part II. Communications in Computer and Information Science 859
Issue 859. , Springer, 2018.
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