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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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Explicative specificity of the concept of “coronavirus” for children in the framework of medical discourse

Дискурс. 2023. Vol. 9. No. 6. P. 161–172.
Trofimova N., Ананьева Ю. С., Киселева С. В., Скрябина Е. Ю.

Introduction. In the spring of 2020, the pandemic of coronavirus was announced in the world – the disease caused by the new type of coronavirus SARS-COV-2. In connection with the progressive psychoemotional stress in society in the literature and the media, attempts are made in a simple and affordable form to explain the causes of this disease and
prevention methods. Despite the fact that the children's contingent was the least susceptible to the disease, this topic was widely covered in children's books, posters and brochures. The purpose of this article, therefore, is to analyze and study various methods of verbalizing the renewal of knowledge about coronavirus infection through lexical units. The article describes the results of the analysis of the concept of “coronavirus”, reflecting the “childish” vision of the disease.
Methodology and sources. To create an idea of the concept of “Coronavirus”, it is required to conduct a framework analysis and build concepts of concepts that dominate generally in the discourse. For this, it is necessary to conduct a case analysis of children's texts, conceptual analysis and method of modeling using the theory of cognitive metaphor. Also, the compilation of frames will need to conduct definition, etymological, component and contextual analyzes.
Results and discussion. Within the framework of this article, the role of metaphor as the main mechanism for representing information about the disease and its prevention is presented. As a result of the study, strategies for the verbalization of knowledge about coronavirus infection were revealed, contributing to training and socialization
Conclusion. The significance of the presented work is determined by the possibility of using the results of the study in theoretical and practical courses in cognitive linguistics, discourse theory, text linguistics and metaphorology. In addition, the results of the study can be used in theoretical and practical medical activity to optimize the connection in the field of pediatrics.

Research target: Philology and Linguistics
Language: English
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Keywords: slotframeconceptcoronavirus metaphor medical discourse
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