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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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Национальная гордость и доверие президенту в России: роль социально-демографических характеристик и эмансипативных ценностей

Социологические исследования. 2025. № 9. С. 63–78.
Zubarev N., Moreva Y., Arkatov D.

Discussions about the role of values and national pride in determining institutional trust are prominent in contemporary Russian politics. The comparison of national pride and trust in the president is necessary since both variables play an essential role in shaping social cohesion of any given society. Christian Welzel's theory of emancipatory democratization identifies four dimensions that structure individual “liberty aspirations” (Welzel 2013). The degree of autonomy granted to children by their parents (1), opportunities available to individuals to make their voices heard in the sphere of politics (2), equality between genders (3), and choices that people make to control their bodies and personal lives (4). We combine this theory with the findings of several publications concerning socio-demographic factors of political culture formation to compare the "portraits" of those who have high national pride and tend to trust state institutions. Multinomial regression is applied to survey data collected in 60 regions of Russia in 2019–2020. Results show that socio-demographic characteristics and value orientations of Russians with high indicators of national pride and trust in the president coincide. These population groups tend to be low on emancipative values index, high on religiosity and income satisfaction. Women, older people, and residents of rural areas trust the president and feel proud more often than other population groups. Welzel’s theory suggests that the growth of emancipative values that typically follows improvements in economic well-being could further dampen such indicators of social cohesion as national pride and trust in the president.

Research target: Social Sciences Sociology (including Demography and Anthropology Political Science, International Relations, and Public Administration
Language: Russian
DOI
Text on another site
Keywords: political supportполитическая поддержкаnational prideнациональная гордостьemancipative valuesinstitutional trustэмансипативные ценностиинституциональное довериедоверие президентуtrust in the Presidenttheory of emancipative democratizationтеория эмансипативной демократизации
Publication based on the results of:
Comparative studies of culture and subjective well-being: differentiation and integration of societies in the context of global challenges (2025)
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