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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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Структура музыкальной индустрии Южной Кореи: особенности работы и медиапродвижения музыкальных компаний и групп

Знак: проблемное поле медиаобразования. 2026. № 1(59). С. 27–38.
Гвоздин М. М., Rodkin P. E.

The article is devoted to identifying the specifics of the business models of music companies in South Korea, their work with artists, as well as the restrictions imposed by the industry on idols. An idol is a professional artist who has undergone systematic training in an entertainment agency and performs the function of a comprehensive entertainment product, whose activities are based on modeling parasocial relationships with an audience through the cultivation of an idealized public image that goes beyond purely musical activities. The business models of the largest music labels in Russia (Black Star, Malfa, Gazgolder and others) and the West (Universal Music Group, Sony Music Entertainment, Warner Music Group and others), as well as Korean companies (YG Entertainment and SM Entertainment) were taken as objects of research. The main research method was functional analysis. With his help, the business models of music labels and companies in South Korea were studied. The authors identified the main differences in the working models of Western labels and Korean companies, and the devices of the groups represented in the Western and Korean business models using the case study methodology. The high standards in the K-Pop industry, their impact on the activities of artists and communication with the audience, the socio-cultural characteristics of the country, which contribute to this through the method of analytical modeling, were also considered.

Research target: Media and Communications
Language: Russian
Full text
DOI
Text on another site
Keywords: музыкакультурамаркетингculturemarketingстратегияstrategyкоммуникацияcommunicationпродвижениеpromotionЮжная Кореяidol South Koreak-popk-popHallyumusiсmusic labelHallyuайдолмузыкальный лейбл
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РАЗВИТИЕ КРЕАТИВНЫХ ИНДУСТРИЙ: ПРИОРИТЕТЫ ГОСУДАРСВТЕННОЙ ПОЛИТИКИ
Abankina T., В кн.: Государственная культурная политика России: традиции и новации.: Московский государственный институт культуры, 2026. Гл. 1 С. 7–21.
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Added: March 27, 2026
Коммуникативная концепция Т. Г. Винокур в контексте прагматической социологии (на примере пьесы Д. Данилова «Сережа очень тупой»)
Nikishina E., В кн.: Говорящий и пишущий: К 100-летию со дня рождения Татьяны Григорьевны Винокур.: М.: Институт русского языка им. В.В. Виноградова РАН, 2024. С. 238–258.
The book is dedicated to the memory of a remarkable Russian language scholar, Tatyana Grigoryevna Vinokur (1924–1992). The range of issues addressed in the collected scholarly articles reflects the breadth of Tatyana Grigoryevna's research interests: the history of language, poetics, the language of fiction, stylistics, speech culture, problems of communication studies, and many other topics. ...
Added: March 8, 2026
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