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  • Защита российских промышленных компаний от силового давления на бизнес: эффективность судебного механизма
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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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Защита российских промышленных компаний от силового давления на бизнес: эффективность судебного механизма

Вопросы экономики. 2020. № 3. С. 84–97.
Kazun A.

A survey of the top management of 1716 industrial companies in Russia in 2018 shows differences in the likelihood of losing property as a result of raider attacks. In this article, we analyze the factors that affect the subjective attitudes about the level of security from violent pressure on business. We show that large companies with political connections can effectively use the judicial mechanism to protect their interests. Small companies without political connections also feel quite protected avoiding participation in the courts and staying imperceptible. Companies that have unsuccessful experience in litigation see the greatest risks for themselves. To receive additional protection such companies participate in business associations.

Research target: Sociology (including Demography and Anthropology Economics and Management
Priority areas: economics sociology
Language: Russian
Full text
DOI
Text on another site
Keywords: права собственностиproperty rightsрейдерствоbusiness associationsindustrial companiesraidingделовые ассоциациипромышленные компании
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