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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.
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?
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Русские заимствования в монгольском хамниганском

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Грунтов И.А., Мазо О.М.

Khamnigan is a Mongolic language spoken in China. The speakers are usually polylingual having good command in Mongolian Khamnigan, Evenki Khamnigan, and Chinese. Previousely Khamnigans had intensive contacts with Russian. Although now there are no contacts with Russian culutre and language the Khamnigan language had profound traces of contacts featuring plenty of lexical and morphological borrowings. The paper analyzes various pecularities of these borrowings and their functioning in modern Khamnigan.

Language: Russian
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Keywords: языковые контактылексические заимствованияlexical borrowingslanguage contactмонголистикаMongolian studiesKhamnigan languageхамниганский язык

In book

Российско-монгольский лингвистический сборник
М.: Канцлер, 2015.
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