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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
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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.
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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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Две истории защиты шихана Куштау: этноэкологическая мобилизация и издержки неопатримониализма

Полис. Политические исследования. 2024. № 3. С. 162–176.
Snarski Y.

In recent years a number of environmental protests in Russian regions has been on the rise, despite the shrinking political opportunity structure. In Bashkortostan republic, the Bashkir Soda Company’s (BSC) decision to develop the Kushtau Hill for soda ash provoked an environmental campaign for saving the mountain. The Kushtau Hill movement succeeded, despite the highly repressive response from regional government and its tight patrimonial link to the BSC – two conditions identified in the literature as unfavorable to protesters. How environmental discontent is successfully mobilised under a repressive government and embedded extractive practices? Drawing on semi-structured interviews with activists, I trace two interlinked pathways to successful mobilisation. The first one tells a story about the role national organisations play in sustaining environmental collective action. Under a shrinking opportunity structure for formal ENGOs, the Bashkir national organisation “Bashkort” provided the emerging movement with experience of informal organisation. Its leadership successfully linked ethnic grievances to environmental mobilisation by claiming the Bashkirs’ special relation to the mountain. However, ethnic and neighbour ties do not prevent a repressive response from the regional government due to a limited scale of such mobilisation. The second story is told about framing processes that expand the scope of potential supporters beyond particularistic ties. Protesters came up with perceived costs of neopatrimonialism to justify their demands. This framing put the republic head as a scapegoat who secured interests of federal centre and BSC, compromising the residents’ ecological well-being. Therefore, Kushtau Hill activists attracted new members, not putting themselves into danger of being perceived as extremists that targeted a regime-dimension. 

Research target: Political Science, International Relations, and Public Administration Sociology (including Demography and Anthropology
Language: Russian
Full text
DOI
Keywords: Bashkortostanэтничностьнациональные организацииframingneopatrimonialism неопатримониализмфреймированиеэкологический протестenvironmental protestenvironmental mobilisationnational organisationsБашкортостанэкологическая мобилизация
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