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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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Медико-демографические показатели и формирование трудового потенциала в Арктике (на примере Мурманской области)

Экология человека. 2018. № 1. С. 15–19.
Чащин В. П.

Population process in dynamic development ongoing in Murmansk Region (located beyond the Arctic Circle on the territory of the European part of the Russian Federation Arctic zone in the period 2001-2015 has been characterized in the paper. Major features of natural population movement (fertility, mortality) including labor potential have been esteemed. A major loss of labor potential was due to population decline (22,4 %), despite positive increase in 1.38 times of the total fertility rate and life expectancy among men up to 64,0 years, women - 75,7 years. It is shown that mortality increase was registered in the region among males of working age from disease that could be connected not only with Arctic climate and geographic conditions but also with labor conditions on industrial complex production of Kola Arctic Circle. The rate of diseases of respiratory and circulatory systems as well as malignant neoplasms increased in monotowns in Murmansk Region. 93 % of population is urban, which is a source of labor for city forming enterprise. Proportion of people working in harmful exposure in the industrial complex enterprises was: men- 68,0 %, women - 36,8 %, including enterprises engaged in the extraction of commercial minerals: men - 78,7, women - 50,0 %.

Language: Russian
Text on another site
Keywords: рождаемостьсмертностьlife expectancyпродолжительность жизниmortalityfertilityтрудовой потенциалlabor potentialRussian ArcticАрктическая зона Российской Федерации
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