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News
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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К истории появления пиррихиев в русском ямбе

Slavic Literatures (ранее - Russian Literature). 2013. Т. III. С. 379–409.
Evgenii Kazartsev

One of the particular characteristics of Russian verse is its high level of rhythmic flexibility, attributable to a high frequency of pyrrhic feet. This research attempts to reconstruct how this situation was built on earlier periods of the development of Russian verse. Its results place in doubt the classic notion that the prevalence of pyrrhic feet arose out of the substantial length of the Russian word. A comparison of how the rhythm of iambic tetrameter developed in Dutch, German, and Russian verse shows that the level of metrical flexibility does not depend on the average length of the rhythmic (phonetic) word in a language. The historical conditions surrounding the emergence of syllabotonic verse and the evolution of versification clearly played a decisive role in the prevalence of pyrrhic feet in Russian verse.

Research target: Philology and Linguistics
Priority areas: humanitarian IT and mathematics
Language: Russian
Full text
Keywords: comparative analysisсравнительное литературоведениеЛомоносов М.В.rhythmic division of textRussian poetryadverse conditions of developmentстихосложениеямб
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