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News
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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Проблемы гендерного неравенства на Арабском Востоке

Азия и Африка сегодня. 2017. № 9 (722). С. 61–66.
Kostenko V.

The article summarizes the most popular theoretical approaches to systematic gender inequality in Islamic societies, and particularly in the Arab countries. Gender inequity in the region is a matter of international concern in Academia and among politicians, though it is still understudied due to the lack of reliable empirical data. Scholars study the problem of female oppression in predominantly Islamic societies from cultural and religious, historical, economic and institutional, and critically feminist standpoints. However, the discourse that could unite those approaches is yet young, which leads to obvious lacunae in academic knowledge. 

Research target: Sociology (including Demography and Anthropology Political Science, International Relations, and Public Administration
Priority areas: sociology
Language: Russian
Full text
Text on another site
Keywords: Арабский ВостокArab statesфеминистская критикаgender inequalityгендерное неравенствоfeminist critiquewomen in Islamположение женщин в исламе
Publication based on the results of:
Эволюция культур сквозь призму трансформации личностной мотивации (2017)
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