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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
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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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Исследования нелегального рынка биоресурсов: перспективы экономической социологии

Экономическая социология. 2024. Т. 25. № 2. С. 120–147.
Ermolin I.

Illegal Wildlife Trade (IWT) is ranked as the fourth biggest illegal activity worldwide after arms, drugs and human trafficking. While it has been inten- sively explored to date, theoretical approaches grounded in economic sociology remain nascent. This article starts from reviewing the interdisciplinary approaches to IWT, with a special focus on whether organized crime can be associated with IWT. After сhoosing the pipeline model to examine the struc- ture of the illegal market, the author consistently reviews the following stages of IWT: extraction, intermediation, and consumption. The research identified organized poaching and deliberate by-catch in marine illegal activities as two interchangeably developed phenomena that have given rise to the IWT commodity chains worldwide since the 1980s-1990s. Deliberate by- catch has been reviewed for the first time. The author connects the origins of the present-day large-scale IWT with the collapse of colonialism and socialism that nevertheless should be treated differently. Intermediary as a key actor in the trade chain is characterized according to functions and roles they play in the IWT: exporter/importer, consolidator, fixer, transporter and craftsman. Sociologists who study IWT primarily examine various aspects of consumption including household consumption, conspicuous (face) consumption, social legitimacy of poaching practices, and consumption of goods used as natural remedies for diseases. Based on the literature review, the author offers economic sociologists to look at the IWT as the one of the most socially embedded phenomena among those studied within sociology of markets. First, it would allow us to research the activities of self-sustaining household as the main actor of IWT. Second, it would give us a chance to understand shifting legal regimes that determine changes in the legality and legitimacy of economic transactions of actors in the market.

Research target: Sociology (including Demography and Anthropology Biology Agriculture, Forestry, and Fisheries
Language: Russian
Full text
Text on another site
Keywords: consumptionсоциальная укоренённостьнелегальный рынокintermediariesпосредникиsocial embeddednesspoaching потреблениеillegal wildlife tradeбраконьерствоdeliberate bycatchself-sustaining householdпредумышленный приловсамообеспечиваемое домохозяйство
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