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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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Мода в стране дефицита. Культура одежды, массовый пошив и ателье в позднем СССР

M. : Музей современного искусства "Гараж", 2025.
Papushina I. O.
Editor-in-chief: А. Красова

From the late 1950s until the late 1980s, the Soviet state undertook a unique experiment in the partial decentralization of the fashion system through the establishment of model houses in the regional centers of the Russian Soviet Federative Socialist Republic (RSFSR). These institutions made a decisive contribution to the democratization of fashion and facilitated the emergence of new professions within the fashion industry in the provinces, including fashion designers, art historians, and fashion models. Through case studies of the Perm House of Models under the RSFSR Ministry of Light Industry and the experimental workshop of the Perm Regional Administration of Household Services, the book examines how a fashion production system was developed from the ground up in a major industrial region, how it was integrated into the hierarchical structure of the Soviet fashion system, and which formal and informal mechanisms were employed to ensure its success. Drawing on interviews and archival documents, the book recounts who was responsible for creating clothing and how it was produced for grandmothers and mothers residing outside Moscow and Leningrad. Through the lens of fashion history, the book elucidates the evolution of Soviet society and demonstrates how the economy influenced the design of clothing manufactured in factories and ateliers. The author proposes a reevaluation of prevailing perceptions regarding the Soviet provinces and the economic structure of late Soviet society.

Research target: Social Sciences Sociology (including Demography and Anthropology
Language: Russian
Full text
Keywords: the Soviet economyистория модысоветская модагосударственно-плановая экономикаlate socialismfashion studies поздний социализмsoviet fashionfashion history
Мода в стране дефицита. Культура одежды, массовый пошив и ателье в позднем СССР
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