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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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Китайско-российское сотрудничество в развитии Северного морского пути

Вестник международных организаций: образование, наука, новая экономика. 2025. Т. 20. № 1. С. 46–74.
Ng C. Y., Wu Y., Zhang W., Jigeer S., Zhang J., Yu H.

As global warming leads to the melting of Arctic sea ice, the economic potential and strategic importance of the Northern Sea Route (NSR) as a new sea route connecting Asia and Europe are becoming increasingly prominent. In this context, China-Russia cooperation on the Arctic route has become a crucial component of their economic and strategic partnership. The paper basically follows the SWOT analysis model to conduct a comprehensive analysis of the current status and prospects of China-Russia economic cooperation on the Arctic route. It emphasizes the economic potential and strategic importance of the NSR due to changing Arctic ice conditions and geopolitical shifts. As an important background reference, the paper reviews the policy positions of both countries, identifying common interests and challenges. It also uses data analysis and case studies to analyze the opportunities and potential risks of cooperation. According to official shipping data, it examines the collaborative efforts between China and Russia to develop the NSR as a viable maritime corridor, emphasising that China is an indispensable force in the development of the NSR. Through detailed case studies, the paper conducts a pre-mortem analysis to identify potential risks in the cooperation, such as dependency, coercion, and cybersecurity threats. In light of the current status and prospects of cooperation between the two sides, we propose a long-term co-development strategy spanning ten to twenty years, focusing on confidence-building, joint feasibility studies, and phased execution. The goal is to establish a sustainable and mutually beneficial partnership that balances security and economic development in the Arctic. The successful cooperation between China and Russia in this region is positioned as a model for other countries with interests in the NSR, highlighting the potential for international collaboration in Arctic logistics and infrastructure development.

Research target: Economics and Management Political Science, International Relations, and Public Administration
Language: Russian
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Keywords: Infrastructure DevelopmentArctic shippingразвитие инфраструктурыарктическое судоходствоPre-mortem AnalysisProspect AnalysisPolar Silk Roadперспективный анализpre-mortem – анализПолярный Шелковый Путь
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