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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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Два подхода к дифференциации терминов миграционных исследований (по данным корпусного анализа)

Новые исследования Тувы. 2025. № 4. С. 122–136.
Permyakova T. M., Smirnova E. A.

The article presents a quantitative and qualitative analysis of English-language terms related to the study of migration.The sources used were research articles in the social sciences published between 2018 and 2020 in international first-quartile journals indexed in the Scopus database. The corpus-linguistic study addresses two objectives: to identify functioning systems of terms in scientific articles and to describe their disciplinary affiliation based on the criteria of semantic fields. A corpus of texts amounting to approximately 280,000 words was compiled and processed using the concordance and keyword list functions of the AntConc software. Within the texts, two-word combinations containing the units migration and migrant(s) were identified. The qualitative analysis of the semantics of these units served as an additional verification of their semantic differentiation. The results of the study indicate that, from the perspective of semantic analysis of terms, two approaches to the study of migration are currently emerging: first, a time-oriented approach, and second, a subject-oriented approach within specific disciplines. The analysis further establishes that the field of migration studies is structured, on the one hand, around the study of communities or individual experience, and on the other, around temporal or subject-based approaches, which often intersect. It was also found that established terminology is characteristic of economics, education, and public administration, while fields such as history, geography, and psychology have yet to develop their own consistent conceptual frameworks for this phenomenon.

Research target: History and Archeology Philology and Linguistics
Language: Russian
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Keywords: миграциякорпусная лингвистикамиграционный дискурсколлокация семантическая категориятермин миграции
Publication based on the results of:
Миграции в социально-экономическом, демографическом, культурном и человеческом измерении (кейсы Пермского края и Республики Тыва в 1920-х – начале 1960-х гг.) (2026)
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