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Subject
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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Тенденции духовно-нравственного развития жителей сел Белгородской области (опыт институционального анализа)

Социологические исследования. 2017. № 12. С. 99–109.
Efendiev A., Gogoleva A., Balabanova E. S.

The paper continues analysis of the results of panel study in Belgorod region’s rural areas conducted in 2000 and 2013. Both papers are integrated in institutional theoretical and methodological approach to the scientific analysis of social transformations. We underline the conceptualization of social institute as a system of social actors’ interactions. This system provides the sustained self-perpetuating satisfaction of the most important needs and interests of the actors. We differentiate institute as a social phenomenon, superindividual in its nature, from institutionalization as a process providing sustainability of social interactions. We give particular attention to the fact that human behavior is based on the institutionally determined logic thus being shaped by institutional demands, compelled, instead of voluntary, motives, and control. The basic condition of institutes’ efficient functioning is their guaranteed ability to enforce desirable behaviors. Taken together, social institutes regulate basic interactions in the most important spheres of life such as exchange and distribution of economic resources as well as power relations thus composing social organization of the society as a whole. The purpose of this paper is to take a more nuanced view of social institutions while highlighting inconsistencies and contradictions in the process of their change. An empirical observation of the transitional institutions’ development is presented. It is argued that these institutions are internally inconsistent and contradictory. Transitional institutions’ inconsistencies are manifested, first, in oppositions between “old” (traditionalistic and paternalistic) and “new” (competitive and achievement-oriented) social practices. Second, confrontation between “positive” (independence and personal responsibility) and “negative” (moral and legal nihilism) social norms underlying these practices is observed. We conclude by suggesting a theoretical model and propositions that will address unanswered questions and should provide a more complete understanding of transformative social institutions and their development.

Research target: Sociology (including Demography and Anthropology
Priority areas: sociology
Language: Russian
Full text
Keywords: социальные институтыинституциональные измененияinstitutional changesроссийское селоsocial practicessocial institutionssocial interactionsсоциальные взаимодействияRussian rural communityпанельные эмпирические исследования
Publication based on the results of:
­­Models of social organization of Russian companies: economic and social performance (2017)
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