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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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Формирование личностной идентичности: философские предпосылки и современные исследования

Новые психологические исследования. 2024. № 4. С. 213–219.
Nazina E.

In recent years, the problem of personal identity has increasingly attracted the attention of researchers. Personal identity is considered as one of the key foundations of human existence proper. The search for answers to the question of the mechanisms of personal identity formation is necessary to move to a qualitatively new level of understanding of ways to strengthen and develop personality.
This article presents a review of the monograph “The Developmental Psychology of Personal Identity: A Philosophical Perspective" (2024). Starting with the understanding of the philosophical foundations of personal identity research, the authors of the monograph proceed to the analysis of modern theories and experimental studies devoted to the study of the mechanisms of personal identity formation. The monograph also consistently constructs the concept of personality formation as the development of the process of self-description, which, according to the authors, is the most important unifying, integrative, synthesizing process of self-development. The monograph ends with the hypothesis that human life is conditioned by the need to build and protect personal identity, the strength and clarity of which are the basis of psychological well-being.
The monograph makes a great contribution to the implementation of the tasks of analysis, systematization and generalization of theoretical developments and research results of the process of personal identity formation. In comparison with other books on this topic, the authors do not just describe theories and research, but deeply analyze them at various levels: from epistemological foundations to specific results of experimental research. The monograph will be useful for undergraduate psychology students, researchers of personality psychology and cognitive psychology, and practical psychologists to get acquainted with modern scientific ideas about the mechanisms of personal identity formation.

Research target: Psychology
Language: Russian
Full text
DOI
Keywords: личностьpersonalityличностная идентичностьпсихология развитияpersonal identitydevelopmental psychologyфилософские основанияIdentity developmentphilosophical foundations
Publication based on the results of:
Доказательный подход к развитию личности: возможности и ограничения (2024)
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