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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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Рождаемость в контексте изменения установок гендерного равенства и общественного мнения о системе здравоохранения в стране

Мониторинг общественного мнения: Экономические и социальные перемены. 2015. Т. 1. № 125. С. 40–50.
Аймалетдинов Т., Игушкина О.Н.

Based on the analysis of theoretical developments and empirical data, the article describes the current fertility rate in Russia and foreign counties. The authors explore the dependence of the fertility on the public assessments of the economic environment, on the gender equality settings and on the public attitudes towards national healthcare system. The authors give a description of the most important factors that influence the number of childless families in Russia. Basic statistical data used in the article involve the number of individual households, divorces, fertility and the assessment of Russians` conservatism. The authors consider modern demographic trends being an object of today`s gender studies as well as the impact of regional and religious factors on the nonmarital fertility. Contemporary demographic theories that take into account the changing status of women in society are also described. Major hypotheses are proved by the data of public opinion polls conducted in Russia over the recent years. The gender equality in public sphere leads to the increase in economic independence of women which may boost fertility at the expense of the reduced social risks. However, cultural changes may have different effects depending on institutional macro context they belong to. The authors conclude that the combination of sociological studies and experimental psychological approaches is vital. The authors strengthen the gender equality in private and public spheres and make an unexpected conclusion: if the quality between men and women is preserved, the fertility will not decrease (as we have seen in recent decades) but will rather increase.

Priority areas: sociology
Language: Russian
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DOI
Text on another site
Keywords: здравоохранениездоровьеhealthhealth care systemгендерное равенствоиндекс гендерного равенстваgender equalityинститут семьиуровень рождаемостиfertility rateindex of gender equalityinstitution of health careinstitution of familybirth of childrenинститут здравоохранениярождение детей
Publication based on the results of:
Культурные изменения в обществах в сравнительной перспективе (2015)
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