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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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Правовое регулирование государственно-частного партнерства в странах БРИКС: опыт Бразилии

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Ryabinchuk P.
The object of this article is regulation of public-private partnership in Brazil. The legal rules associated with public-private partnership tenders and contracts in Brazil, that must comply with requirements of Federal Act 11.079, enacted on December 30th, 2004 are dealt with in the article. It reviews the provisions regulating the definitions and essential terms of public-private partnership contracts, parties of public-private partnership, specifics of tendering process under a procedure complying with Federal Act 11.079 and guaranties.
Language: Russian
Keywords: Бразилияконцессионное соглашениегосударственно-частное партнерствоBRICSБРИКСГЧПBrazilPublic-Private Partnership (PPP)Federal Act of Brazil 11.079Федеральный закон Бразилии № 11.079
Publication based on the results of:
Comparative legal approach and its instruments in the research ofLegal Aspects of BRICS (2013)

In book

Сравнительно-правовой подход и его инструменты в исследованиях юридических аспектов БРИКС: Труды Лаборатории сравнительно-правовых исследований
Сравнительно-правовой подход и его инструменты в исследованиях юридических аспектов БРИКС: Труды Лаборатории сравнительно-правовых исследований
СПб.: Издательство Санкт-Петербургского политехнического университета, 2013.
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