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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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Existential-Phenomenological Analysis of Dependence in Close Interpersonal Relationships

Existenzanalyse. 2014. Vol. 31. No. 1. P. 4–13.
Shumskiy V., Skvortsova S. N.

This article presents the results of a phenomenological study of dependence in close interpersonal relationships between men and women. Interviews were conducted with participants, who experience dependence in their close interpersonal relationships. These interviews were analyzed according to A. Giorgi’s phenomenological approach. From the analysis, a structural model of relationship dependence was derived, separating the stable from the variable components of dependence. Special attention was given in this study to the vicious cycle of “closeness–estrangement” which has been found to be specific to dependent relationships. The findings reveal a distinction between interpersonal dependence based on the type of deficiency that is being compensated by the partner.  The pattern of these deficiencies correspond to the content of the fundamental existential motivations, formulated by A. Laengle: lack of support, lack of feeling of life, lack of self-acceptance and self-esteem. A frustration of the meaning dimension was present in all cases of dependence. 

Research target: Psychology
Priority areas: humanitarian
Language: English
Full text
Keywords: meaninginterpersonal relationshipsdependencephenomenological analysis
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