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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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Активность, деятельность, индивидуальность: между вчера и завтра (методологические заметки)

Мир психологии. Научно-методический журнал. 2020. № 2 (102). С. 20–31.
Petrovskiy V.

Based on the definition of the terms «activeness» and «activity», the author proceeds to analyze the relationship between them, and demonstrates the place of activeness in the organization of activity: the dynamic material, procedural implementation and own movement of activity. A provision is noted that the movement of activity, which is usually hidden by nature, is able to take the form of a special activity that has as its motive, goal and objective the development of relations that prompted the initial («ol») activity to be performed. In this context, the concepts of «adaptability» and «non-adaptability» are defined. Adaptability in an activity is described by three equalities: the desire («I want») = the obligation («I demand from myself»); volitional efforts («I demand from myself») = situational necessity («the situation requires from me»); and claims («I claim») = acquisitions («I attain»). Based on these criteria, an empirical study was conducted and the author discovered that «on average» people tend to manifest adaptability in situations of achievement. Upon reflection on individual variations in the levels of adaptability (the «threshold of situational necessity»), the author identified the phenomena of «soft non-adaptability» in the direction of a given activity; significant positive correlations are observed between the redundancy of promptings to solve a problem, on the one hand, and the levels of self-efficacy, as well as life satisfaction, on the other. The phenomena of «acute» non-adaptability (free actions towards the unpredetermined) that are closely related to the category of «subjectness», are also discussed. The relationship between the concepts of «adaptability» and «pre-adaptability», «des-adaptability» and «supra-adaptability» («dis-adaptability»). The concept of «personal selection» is introduced and the phenomena of a personality’s resistance to reproduce itself in other personalities are considered (the reversed principle of natural selection).

Research target: Psychology
Priority areas: humanitarian
Language: Russian
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Keywords: деятельностьactivityактивностьsubjectnessадаптивностьadaptabilityactivenesssupra-adaptabilitypersonal selectionнададаптивность субъектностьперсональный отбор
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