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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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Digital Humanities в истории психологии (на примере фамилии В.М. Бехтерева)

Цифровой ученый: лаборатория философа. 2018. Т. 1. № 1. С. 160–179.
Костригин А. А., Khusyainov T.

The article discusses the problems and prospects for using the methodology of Digital Humanities in the historical psychological studies. The authors present the results of the search and analysis of the mentions found for the name of the outstanding psychophysiologist, psychoneurolo-gist, and psychologist Vladimir M. Bekhterev (1857-1927) in the body of texts in the Google Books system in Russian and English languages. Hypotheses are advanced regarding the high or low frequency of references. The dissemination of the scientist’s ideas in various scientific fields is analyzed in both Russian and English. The results of the mentioning frequency study on the names of Vladimir Bekhterev and Lev Vygotsky are compared to define the factors that determine the use of the name and these scientists’ ideas. The advantages and disadvantages of qualitative and quantitative analysis and interpretation of texts within the framework of digital humanities are shown.

Research target: Psychology Sociology (including Demography and Anthropology
Priority areas: humanitarian
Language: Russian
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DOI
Text on another site
Keywords: анализ текстовинтерпретацияtext analysisinterpretationdigital humanitiesцифровая гуманитаристикаdigital humanitiesGoogle Booksчастота упоминанийGoogle BooksBekhterevБехтеревdigital human studiesfre-quency of references
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