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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.
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'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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The Influence of Happiness and Anxiety on Emotional Stroop Effect

NRU Higher School of Economics , 2022. No. 131.
Martynova E., Shakirova S. A., Lyusin D.
The main aim of this study was to examine how happiness and anxiety influence emotional Stroop effect. According to the principle of emotion congruence, information processing is facilitated if its emotional tone matches an individual’s mood. The first hypothesis suggested that emotional Stroop effect would be greater with stimuli incongruent with a participant’s emotional state. The second hypothesis was based on two theories; the broaden-and-build theory predicting that happiness makes attention broader, and Attentional Control Theory predicting that anxiety impairs inhibition. Hence, it was suggested that emotional Stroop effect would be smaller in the happy state compared to neutral and anxious states. We used an emotional Stroop task with neutral, happy, and threatening words, music for mood induction, and the EmoS-15 questionnaire to estimate the effectiveness of mood induction. The first hypothesis was partly confirmed. Emotional Stroop effect estimated in error rates was greater for stimuli incongruent with emotional states, although this effect did not reach the conventional level of statistical significance. The second hypothesis was not confirmed. The size of emotional Stroop effect did not depend on participants’ emotional states.
Research target: Psychology
Priority areas: humanitarian
Language: English
Full text
Keywords: вниманиеattentionтревогаanxietyэмоцииemotionsрадостьhappinessemotional Stroop effectиндукция эмоцийэмоциональный эффект Струпаmood induction
Publication based on the results of:
Bottom-Up and Top-Down Processes in Cognitive Tasks and Emotional/Social Cognition (2022)
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