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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
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American National Identity: Language Patterns and Myths Across the Centuries

Cham : Palgrave Macmillan, 2024.
Islentyeva Anna, Tolochin I.

This book offers an analytical tool for identifying and analysing the linguistic mechanisms that shape American national identity in public discourses. Drawing on methods from (critical) discourse analysis and corpus linguistics, the authors provide insights into various levels of discourse structures, consider the social and political climate of the US at different stages of its history, trace the diachronic development of the linguistic patterns that shape the American national identity. 

Research target: Philology and Linguistics
Language: English
DOI
Keywords: USAdiscourse analysis cultural identity
American National Identity: Language Patterns and Myths Across the Centuries
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