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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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Aghul

P. 3579–3594.
Maisak T., Ganenkov D.

Word-formation processes in Aghul (a Northeast Caucasian language spoken in Daghestan, Russia) include both compounding and derivation. Verbal compounding is very productive and is the primary way of enriching the verbal lexicon in the modern language, using borrowed Russian verbs. In contrast, although there are quite a large number of nominal compounds, they seem to be fixed expressions and no new compounds are created. Derivation is mainly suffixal with the exception of verbal locative and repetitive derivation achieved by prefixes. Various types of full reduplication, as well as echo-reduplication and partial reduplication are fairly productive.

Language: English
DOI
Text on another site
Keywords: Aghulагульский языксловообразованиепространственная префиксацияprefixal verbsсложные глаголыAgulword formationcompound words

In book

Word Formation. An International Handbook of the Languages of Europe
Vol. 5. , Berlin, NY: De Gruyter Mouton, 2016.
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