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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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Пределы применимости теории медийных фреймов в недемократических режимах

Коммуникации. Медиа. Дизайн. 2017. Т. 2. № 4. С. 49–66.
Savin N., Chmel K.

To date, frame is one of the most commonly used concepts in communication studies. Predominantly, research, which are devoted to media effects, focus on democracies, but lately there is a surge in the number of non-democracy oriented research, which focus on media effects in the authoritarian context. Our aim is to define the applicability limitations of the media frames theory to study media effects in non-democratic context. By defining conceptual boundaries of framing and characterizing media systems, we argue, that framing strongly interrelates with persuasion. Hence, this leads to potential restrictions for the concept application in studies of the media influence on public opinion in non-democratic regimes, where the autonomy of media system is violated.

Priority areas: sociology
Language: Russian
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Keywords: теория фреймовпубличная сфераpublic spheremedia framingнедемократические режимыnon-democratic regimesмедиа-эффектыmedia systemmedia effectsмедиа системы
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