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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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Terminology of Migration Studies: A Corpus Analysis of Research Papers in Social Sciences

Migration Letters. 2022. Vol. 19. No. 4. P. 401–412.
Elizaveta Smirnova, Tatiana Permyakova

Migration studies is a new, rapidly developing research area whose terminology is being established at the intersection of various social sciences. This article undertakes a quantitative and qualitative analysis of terms associated with migration, conducted on a 281,000-word corpus of research articles in social sciences, published in leading academic journals. Our analysis involves corpus processing with AntConc software and semantic tagging of terms that contain the words migrant and migration, with the purpose of detecting the semantic categories that migration-related terms belong to and identifying what areas of research in the field they outline. The qualitative analysis proves two directions in migration studies, focusing on migrant communities as national groups and experience of individual migrants. Semantically, there are two approaches to studying migration: time-oriented, referring to past, present, future, and subject-oriented, e.g. geography, economy, demography, etc.

Research target: Philology and Linguistics Education
Language: English
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DOI
Text on another site
Keywords: corpus linguisticscollocationssemantic categoriesMigration discoursemigration terms
Publication based on the results of:
Миграции как фактор социальной трансформации регионов СССР в период послевоенного восстановления: анализ средствами digital humanities (2022)
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