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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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К изучению эмоциональной культуры: социологическая перспектива

Личность. Культура. Общество. 2022. Т. 24. № 2 (114). С. 142–157.
Simonova O. A.

The author attempts to define the contours of the concept of “emotional culture” based on existing works in the sociology of emotions. Although there are many studies that describe an emotional culture in general and through specific emotional states, the problem of the conceptual apparatus for its study is far from being solved. An emotional culture is formed within a particular society in a particular historical period and represents a configuration of the beliefs, normative elements (emotional regime), and emotional practices, according to which certain feelings are nurtured and encouraged, and according to which people experience and express them.

The main task of the study of emotional culture is to reveal its role in the functioning of the social order, to discover the configurations of beliefs and practices in the experience of individuals, social groups, and social structure. In contemporary societies, as suggested by contemporary works in the sociology of emotions, a neo-sentimentalist culture is emerging as an unintended consequence of the plethora of causes – the rationalization of all aspects of society, modern consumer culture, individualization, psychologization, and others. The combination of a rational attitude to emotions and at the same time a special attention to feelings, a persistent search for authentic feelings characterizes the modern emotional culture. One of the brightest manifestations of the today emotional culture is the phenomenon of “emotional labor”, when a human emotionality – the ability to manage emotions, recognize them, comprehend them, show, change and demonstrate them – is commercialized and becomes an integral part of the most occupations, and simultaneously transferred into the everyday life and psychologically organizes it.

Research target: Sociology (including Demography and Anthropology
Language: Russian
Full text
DOI
Keywords: социология эмоцийemotional regimesэмоциональная культураemotional cultureemotional laborэмоциональный трудthe sociology of emotionsemotional practicesэмоциональные практикиэмоциональный режим
Publication based on the results of:
Моральные эмоции в отношениях неравенства: регуляция и социальные последствия (российский контекст) (2021)
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