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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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Основные особенности климатической повестки Партии европейских социалистов

Гуманитарные науки. Вестник Финансового университета. 2022. Т. 12. № 5. С. 127–135.
Lisenkova A. D.

This article is devoted to the climate change agenda of the Party of European Socialists. In order to identify its current main features, the author characterizes the development of the climate discourse of the party under the influence of socialist, workers and social-democratic ideological foundations, as well as the political situation in the European Union at various historical stages. Through comparative analysis and discourse analysis, the general evolution and main principles of the Party of European Socialists and its political group, the Progressive Alliance of Socialists and Democrats, as well as the actual development and current priorities of the climate agenda are investigated. Comparative analysis and discourse analysis are carried out through the prism of election manifestos and the top officials’ rhetoric. The relevance of the study lies in the primacy of climate change for the European Union and its citizens, as well as the substantial modernization of supranational legislation under the leadership of Frans Timmermans, a member of the Party of European Socialists and Executive Vice-President of the European Commission for the European “Green Deal”.

Research target: Political Science, International Relations, and Public Administration
Language: Russian
DOI
Text on another site
Keywords: изменение климатасоциальная справедливостьманифестsocial justiceclimate changemanifestoEuropean Green DealParty of European SocialistsProgressive Alliance of Socialists and DemocratsFrans TimmermansПартия европейских социалистовПрогрессивный альянс социалистов и демократовевропейская "Зелёная сделка"Франс Тиммерманссправедливый переход
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