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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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Отечественная практика применения фандрайзинга как метода финансирования некоммерческих организаций

Аудиторские ведомости. 2019. № 4. С. 42–54.
Kosov M.

The paper analyzes the experience of using fundraising by the Konstantin Khabensky Charity Fund. The analysis of the dynamics of attracting financial resources. The tendencies of using banking and payment services as platforms for raising funds are reflected. The work revealed a decrease in the share of proceeds from bank transfers, which is accompanied by a simultaneous increase in the share of proceeds through electronic services and payment by bank cards online. The seasonality of income to the fund is determined. Based on the results of the work, conclusions are drawn and recommendations are developed. The key proposal is the constant increase of partners and platforms for attracting financial resources in order to carry out the activities of the Fund. The need for the development of performance indicators of a non-profit organization is also indicated.

Priority areas: economics
Language: Russian
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Keywords: некоммерческие организациифинансированиеблаготворительностьfinancial resourcesфинансовые ресурсыnonprofit organizationscharityфандрайзингfundraisingблаготворительные фондыCharitable Foundations financing
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