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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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Евгений Базаров и «Дон Жуан»: к проблеме образов, мотивов, нарративного синтаксиса

Вестник славянских культур. 2021. Т. 60. С. 150–160.
Golubkov A.

The paper examines the character of Yevgeny Bazarov and the plot structure of Ivan Turgenev’s novel Fathers and Sons versus a Western European legend of Don Juan — mostly in the version proposed by Molière in his 17th-century comedy. Bazarov’s phrase, “Two and two make four. Nothing else matters,” becomes a starting point for discussion, being compared to the response that Molière’s Don Juan gives in a dispute with his valet Sganarelle. The author analyzes the status of “two and two make four” concept in Russian literature of the 19th century and evaluates the chances that Turgenev borrowed the phrase from Molière’s play and the name of protagonist’s beloved (Anna) from the whole body of Don Juan narratives, whether directly or unintentionally. The study puts forwards a strategy for interpreting the novel plot as an unfolding of key events ascending to the legend of Don Juan. It includes addressing archetypal similarity of Arkady and Sganarelle (as well as Sancho Panza), along with functionality of the road narrative, riot motif, and conceptual congruence between the deaths of Don Juan and Bazarov, both dying as a result of somewhat infernal, cadaver-mediated interference. The paper makes an assumption that the preceding literary tradition served for Turgenev as a tool for processing a contemporary content, dealing with the emergence of а nihilist as a new social type.

Research target: Philology and Linguistics
Language: Russian
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Keywords: Русско-французские культурные литературные связиRussian-French connections
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