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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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ECONOMIC ANALYSIS OF THE IMPACT OF CLIMATE CHANGE ON AGRICULTURE IN RUSSIA: NATIONAL AND REGIONAL ASPECTS

Oxford : Oxfam, 2013.
Georgiy Safonov, Yulia Safonova
Editor-in-chief: R. English, J. Magrath, D. Ukhova

Climate change is already having a negative impact on agricultural production in Russia, especially grain production, since this sector is perhaps the most dependent on weather and climate factors. This report presents an economic evaluation of the impact of climate change on crop production at the national level and a long-term economic evaluation of the losses, profits, and risks for agriculture throughout Russia. It analyses the situation in the two the major agricultural regions, where the negative effects of climate change are especially pronounced, and examines the prospects for adapting Russia’s agriculture to climate change

Research target: Earth Sciences Biology Economics and Management
Priority areas: economics state and public administration
Language: English
Full text
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Keywords: сельское хозяйствоадаптацияРоссияизменение климатаRussiaagricultureadaptationclimate changeagricultural economicsэкономика сельского хозяйства
ECONOMIC ANALYSIS OF THE IMPACT OF CLIMATE CHANGE ON AGRICULTURE IN RUSSIA: NATIONAL AND REGIONAL ASPECTS
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