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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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Портрет атеиста глазами современных студентов

Культурно-историческая психология. 2011. № 3. С. 42–49.
Kosheleva N., Казарян М. Ю.

The paper describes the procedure and the results of a study of university students' conceptions of atheism and atheistic personality. The paper starts with a review of the principal sociological and psychological studies of atheism, presenting Russian and foreign research of personality characteristics of atheists and the place of atheism in the social life. The empirical section describes two stages of an empirical study aiming to investigate the conceptions that 1st and 2nd year university students have of personality characteristics and values of a strongly atheistic person. During the first, qualitative stage, 167 students gave open descriptions of an atheistic person that were subsequently content-analyzed. At the second, correlational stage involving a sample of 216 students, associations between the respondents' notions of atheistic personality and their demographic characteristics and religious attitudes were investigated. The results provide an integral portrait of atheist seen by Russian students, which includes both negative and positive characteristics, which are associated with gender and respondents' own religious attitudes.

Priority areas: sociology humanitarian
Language: Russian
Keywords: atheismnonreligious consciousnesseveryday consciousnessатеизмвнерелигиозное сознаниеобыденное сознание
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