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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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Civil Society and Social Capital in Russia

P. 1–6.
Jakobson L. I., Mersiyanova I. V., Ivanova N.

Research on civil society in Russia is characterized by a variety of methodological approaches. We understand civil society as a sphere of human activity outside of family, the state and the market. To date, there is a broad spectrum of types of financial and non-financial support for NPOs including informational, consulting and educational support. A new category, socially-oriented nonprofit organizations (SONPOs), was introduced by law in 2010. This category of nonprofits was eligible to receive tax and budgetary benefits and additional government support. In 2019, 74 regional administrations provided SONPOs with the financial support totaling over 48.7 bln rubles ($750 million). Social capital characterizes the society’s capacity for self-organization for common good. One of the most commonly used measures of social capital is the level of trust.  Russian government support for the nonprofit sector has not been reflected in international academic debate, which largely remains what can be described as one-sided.

Language: English
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Keywords: социальный капиталгражданское обществогосударственное финансированиеsocial capitalcivil societyСоциально ориентированные некоммерческие организации (СО НКО)Government nonprofit cooperationGovernment fundingState support for NGOsSocially oriented NGOsГосударственное некоммерческое сотрудничествоГосударственная поддержка социально ориентированных некоммерческих организаций
Publication based on the results of:
The Monitoring of the state of civil society (Wave 17) (2022)

In book

International Encyclopedia of Civil Society
Springer Nature Switzerland AG, 2020.
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