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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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Конструирование опросника «Позитивное организационное поведение»: результаты предварительной валидизации

Вестник Российского университета дружбы народов. Серия: Психология и педагогика. 2023. Т. 20. № 2. С. 374–398.
Stroh W. A., Dayneko V.

The purpose of the study was to design an original questionnaire for diag-nosing positive organizational behavior (POB) of employees and further test its psychometric indicators of validity and reliability. The author of the concept of POB F. Luthans did not of-fer any diagnostic tool for assessing it; therefore, the authors decided to create own questionnaire. A theoretical analysis of the concept and existing scales for diagnosing the five compo-nents of POB (self-efficacy, hope, optimism, subjective well-being and emotional intelli-gence) was conducted. The empirical study was in the form of an online survey. The sample consisted of 172 respondents, aged 22 to 60, who worked in various fields of activity. The psychometric indicators of the POB questionnaire were assessed, including the reliability and consistency of the items, the correspondence of the theoretical conceptualization to the facto-rial structure of the questionnaire. The construct validity of the questionnaire was tested using The Satisfaction With Life Scale by E. Diener et al. (adapted by D. Leontiev and E. Osin) and The Life Orientation Test by M. Scheier et al. (adapted by T. Gordeeva, O. Sychev and E. Osin). As a result of the confirmatory factor analysis, a five-factor structure of the question-naire was formed, which corresponded to the ideas about the five-component structure of POB in F. Luthans’ theoretical concept. The reliability was assessed by analyzing the values of Cronbach’s alpha. The results showed sufficient reliability and consistency of the items of the questionnaire (the value of Cronbach’s alpha of the total scale of POB was 0.890). The assessment of construct validity confirmed the presence of significant relationships between the individual subscales of the POB questionnaire and the scales of satisfaction with life and life orientation, which indicated the substantive similarity of the scales. The study showed that the created measuring tool had sufficient validity and reliability and could be used for further research purposes.

Research target: Psychology
Language: Russian
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Keywords: позитивная психологиясубъективное благополучиесамоэффективностьoptimismоптимизмpositive psychologysubjective well-beingself-efficacyhopeэмоциональный интеллектнадеждаpositive organizational behaviorпозитивное организационное поведение emotional intelligence
Publication based on the results of:
Психологические факторы адаптации сотрудников к цифровой трансформации внутриорганизационной коммуникации (2022)
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