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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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?

Профсоюз в транснациональной компании (на примере металлургического завода)

Экономическая социология. 2008. Т. 9. № 2. С. 46–55.
Cheglakova L. M.

At the enterprises integrated into structure of multinational corporations, high-quality changes of the labor relations are observed. How traditional trade union' practices adapt  to policy and actions of the new owner? What problems are generated by this interaction? How priorities and forms of trade-union organization work are changing? The author offers answers to these questions, analyzing Samara Metallurgical Plant experience.

 

Research target: Political Science, International Relations, and Public Administration Economics and Management Sociology (including Demography and Anthropology
Priority areas: economics sociology
Language: Russian
Text on another site
Keywords: трудовые отношенияпрофсоюзытранснациональная корпорацияlabor relationstrade unionmultinational corporationпрофессиональное движениеборьба за права трудящихся
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