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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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Роль личности в формировании социального капитала социальной сети

Петербургский психологический журнал. 2017. № 21. С. 79–109.
Свенцицкий А. Л., Mararitsa L.

The article discusses personality networking behavior as a mechanism of building the social capital in a social network. The concepts of social and functional roles, social exchange theory, social network analysis (network role discovery) and the phenomenon of social capital are included to explore the problem. Theoretical and empirical studies are brought together to explain the connections between an individual and his or her network position in a social structure, as well as his or her networking behavior. We assume that personal networking strategy relies on values and is actualized in a certain way of social behavior, thus helping to exert the individual’s influence on his or her social capital buil. This construct allows as to understand personality as both pursuing some personal goals and working on social capital formation of social network.

Research target: Psychology
Priority areas: humanitarian
Language: Russian
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Keywords: социальный капиталсоциальная сетьsocial capitalнетворкингnetworkingsocial networknetworking strategysocial capital managementnetwork roleстратегия нетворкингауправление социальным капиталом
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