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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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Влияние слияний и поглощений на операционную эффективность компаний на развивающихся рынках капитала

Корпоративные финансы. 2012. № 3 (23). С. 31–43.
Grigorieva S., Троицкий П. В.

This paper examines the impact of mergers and acquisitions on corporate performance on the sample of companies from BRIC countries over 2005-2009. Based on the accounting study method we find that the operating performance of firms (measured by EBITDA/Sales ratio) improves subsequent to mergers and acquisitions. We also find that the main determinants of M&A performance for the companies from BRIC countries are the acquirer’s size and friendly character of the deal.

Research target: Economics and Management
Priority areas: economics
Language: Russian
Full text
Keywords: слияния и поглощенияmergers and acquisitionsразвивающиеся рынки капиталаcorporate performanceemerging capital marketsэффективность деятельности компанииoperating performanceоперационная эффективность
Publication based on the results of:
Research on the Corporate Financial Decisions of Russian Companies and Companies of other Emerging Capital Markets under Pressure of the Global Transformation of Capital Markets and the Formation of an Innovation Economy (2012)
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