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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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Структура и нарушения саморегуляции деятельности: точка роста культурно-исторической деятельностной психологии

Культурно-историческая психология. 2024. Т. 20. № 3. С. 27–35.
Leontiev D.

The problem setting of the paper stems from the idea of shifts in research contexts and explanatory
emphases in the Cultural-Historical Activity Theory (CHAT) through the history of its development, specifically,
from putting the concepts of mediation and self-regulation (autoregulation) to the foreground in
the 1980s. The immediate object of the analysis are the elements of activity autoregulation structure and
varieties of its possible distortions. In line with the distinction of five elements of any contour of autoregulation
as the mechanism of cyclic action correction basing on the comparison of the feedback on the current
results with the preset goal criterion, ten arts of autoregulation distortions are differentiated and described:

1А. Lack of goal criteria or lacking selectivity as regards such criteria; 1B. Excessive rigidity of the goal
criteria; 2А. Difficulties in the transition from decision to implementation; 2B. Uncontrolled, uncorrectable
acting; 3А. Lacking sensitivity to the feedback; 3B. Anxious hypersensitivity to the feedback. 4A. Lack of
readiness to detect mistakes and to correct erroneous actions; 4B. Failed comparison of the feedback with
goal criteria, spontaneous responding; 5А. Denying mistakes and refusal of their correction; 5B. Painful
responding to errors and failures.

Research target: Psychology
Language: Russian
Full text
DOI
Keywords: обратная связьactionдействиецельсаморегуляцияregulationdistortionfeedbackрегуляцияfunctional paradigmgoalкоррекцияcorrectionфункциональная парадигмаautoregulationкультурно-историческая деятельностная психология (КИДП)отклонениеCultural-Historical Activity Theory (CHAT)
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