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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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Некоторые тенденции в морфосинтаксисе переселенческих штокавских диалектов в Албании (Шияк и Мюзекея) и славяно-албанский языковой контакт

Славянский мир в третьем тысячелетии. 2022. Т. 17. № 1-2. С. 120–141.
Макарцев М. М., Кикило Н. И.

This article puts into academic circulation the materials of the little-described migrational Shtokavian dialects in the Shijak (Durrës) and Myzeqe (Fier, the villages of Rreth Libof-sha, Hamil, etc.) areas collected during a linguistic expedition in July and August 2021. The Sandžak region (Novi Pazar, Tutin and Sjenica, modern Republic of Serbia), where the Shtokavian Novi Pazar-Sjenica dialects have been traditionally spoken, is considered a homeland for the descendants of the Myzeqe Muslim Slavs. The Muslim Slavs from the Shijak region (Borake and Koxhas villages) migrated to Albania from the vicinity of Mostar (modern Bosnia and Herzegovina). Their linguistic origin is from Central Herzegovinian dia-lects (mostly to the east of the Neretva River) between the younger Ikavian and Eastern Bos-nian dialects. The generations-long contact with the Albanian language intensifi ed as a result of increased social mobility resulting from socio-political changes in Albania in 1990. These changes led to a number of quantitative and, to a lesser extent, qualitative changes in the migrational dialects at different language levels. Since the Albanian language is a part of the Balkan sprachbund, some of the changes support balkanizing processes in the structure of the dialects. Our material shows some signs of analytisation in the morphosyntactic / syn-tactic system (the prevalence of prepositional phrases over bare cases, infi nitive reduction, clitic doubling, etc.), which are associated with Albanian contact infl uence. The article also describes the principles we adhered to when collecting linguistic data, as well as the topics of ethnolinguistic questionnaires. Examples of dialect recordings are included in the appendix.

Research target: Philology and Linguistics
Language: Russian
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Keywords: диалектология и лингвистическая географияdialectology and linguistic geographyпереселенческие сообществаmorphosyntaxморфосинтаксисlanguage contactdialect corpus
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