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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?
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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Terra incognita: йольские языки (langues d’oïl)

Вестник Донецкого национального университета. Филология и психология. 2025. № 6. С. 62–73.
Бестолкова Г. В.

Research paper’s purpose is to formulate and integrate the term “langues d’oïl” into contemporary Russian Romance studies’ conceptual framework in order to expand Romance languages’ scientific knowledge. In accordance with this goal, the given paper involves a number of objectives: term “langues d’oïl” formation’s historical background analysis; regional languages’ area description ​​in modern France; comprehensive description of “French patois” phenomenon (patois francisé) as a result of langues’ d’oïl ​​and standard French’s interactions. Important aspects of the research include determination of langues’ d’oïl place ​​in Romance languages’ general classification as well as formation of their dialects’ classification and assess of Germanic languages’ influence ​​on their development. The result of undertaken research is a systematic scientific knowledge of langues d’oïl ​ as Romance languages’ group with a complex structure and unique linguistic features. Given article contributes greatly to Russian philology by offering unified terminological apparatus and comprehensive analysis necessary for further scientific research in Gallo-Romance linguistics field.

Research target: Philology and Linguistics
Language: Russian
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Keywords: французский языкFrenchlangues d’oïlйольские языки (langues d’oïl) Occitan languageinguistic zone "croissant"лингвистическая зон «круассан»окситанский язык
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