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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.
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Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
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Пушкин - образ и прецедентный феномен в русских песенных текстах XX-XXI веков

Русский язык за рубежом. 2024. № 2(303). С. 32–40.
Матрусова А. Н., Solomonova A.

The article raises the question of the functioning of the name Pushkin as a precedent phenomenon in Russian song poetry from the second third of the 20th century to the first quarter of the 21st century. It is noted that the precedent nature of the name itself is organically combined with the use of quotations from Pushkin's texts, references to the poet's biography and the cultural context of both Pushkin and the modern era. In this regard, the authors come to the conclusion that the precedent potential of such names as Pushkin does not decrease, but rather, on the contrary, increases as the textual song culture of the modern Russian-speaking space changes and becomes emancipated.

Research target: Philology and Linguistics
Language: Russian
DOI
Keywords: valuesценностипрецедентный феноменрусская языковая картина мираprecedent phenomenaPushkinПушкинRussian songRussian linguistic pictire of the worldрусская песня
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