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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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Губернаторские выборы в Липецкой области: местная специфика и национальные тренды.

Вестник Пермского университета. Серия: Политология. 2014. № 4. С. 137–150.
Skiperskih A.

In this article we are talking about the gubernatorial election in the Lipetsk region, on 14.09.2014. In the article author explaines the political situation before the election and the interaction of the political actors during the election campaign. According to the author, the election campaign in the Lipetsk region, in spite of the specific regional features inherent in Lipetsk political discourse, is subject to significant influence and national trends, which deprives her attractiveness and entertainment, and reduces the likelihood of an unpredictable outcome.

Research target: History and Archeology Sociology (including Demography and Anthropology Economics and Management Law Political Science, International Relations, and Public Administration
Priority areas: state and public administration humanitarian
Language: Russian
Full text
Keywords: политическая ситуацияоппозициявластьгубернаторизбирательная кампанияpoweroppositionelection campaignполитические акторыLipetsk regionЛипецкая областьgovernorpolitical situationpolitical actors
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