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News
May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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Практика перевода с английского языка на русский: Учебное пособие

M. : Flinta, 2025.
Antonova M.

The textbook offers practical material for the formation of professionally oriented competence in written translation from English into Russian. The tasks are aimed at developing the skills to apply various transformations in translation and to carry out pragmatic adaptation of the translation. The textbook also contains creative tasks concerning allusions, metaphors and wordplay. Special attention is paid to the creation of a literate text in compliance with the linguistic and speech norms of the literary Russian language. The manual includes fragments of translations of contemporary works of fiction for comparative analysis and editing. It also includes examples of translations of Cockney dialect, Manglish Creole, and individual deviations from the norms of literary English. The textbook is intended for undergraduate, graduate and postgraduate students studying Translation and Translation Studies, Intercultural Communication and Linguistics.

Research target: Philology and Linguistics
Language: Russian
Full text
Keywords: domesticationдоместикациястратегии переводатрансформации при переводеstrategy of translationtranslation transformationsкокниforeignizationcockneyфоренизация
Практика перевода с английского языка на русский: Учебное пособие
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