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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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Corporate Governance in Russia

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Enikolopov R., Stepanov S.

The chapter describes the current state of corporate governance in Russia and the dynamics of recent years. Important features of the environment that affect corporate governance include weak legal institutions that lead to high private benefits to control, underdeveloped capital markets, high levels of ownership concentration and significant state involvement in business. In this situation, the main conflict of interest is not between a manager and a large number of dispersed shareholders, but between large and small shareholders, between different large shareholders, and between minority shareholders and managers/board members in state-owned companies. Many of these features are very similar to other emerging markets, but substantially different from conditions faced by firms in developed countries. Despite substantial improvement during the 2000s, the quality of corporate governance in Russia is still much lower than in developed countries, primarily because of the low quality of Russian institutions.

Language: English
Text on another site
Keywords: corporate governanceemerging marketsboards of directorsminority shareholdersstate-owned companies

In book

The Oxford Handbook of the Russian Economy
The Oxford Handbook of the Russian Economy
Oxford: Oxford University Press, 2013.
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