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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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Socio-Psychological Capital, Values And Emigration Intentions Of Russian Youth

NRU Higher School of Economics , 2014. No. WP BRP 23/PSY/2014.
Chuvashov S. V.
This research defines the relatively new concept of socio-psychological capital and examines the interrelation between socio-psychological capital and emigration intentions of Russian youth. Socio-psychological capital is seen as a resource of psychological relations, available to individuals belonging to a group. Socio-psychological capital includes trust, national identity, ethnic tolerance. The research also deals with the theory of planned behaviour, applied to emigration intentions. The empirical database is presented by the sample of Russian students (N=203). The results of structure equation modelling show that the model of planned emigration behaviour differs from the original theoretical model. We also found a negative relationship between national identity, institutional trust and emigration intentions. The results advance the understanding of the psychological nature of emigration intentions and highlight the potential of the socio-psychological capital concept.
Priority areas: humanitarian
Language: English
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Keywords: довериеsocio-psychological capitalvalue orientationstrustсоциально-психологический капиталтеория планируемого поведенияГражданская идентичностьemigration intentionsЭмиграционные намеренияпричины эмиграцииnational identity
Publication based on the results of:
Social and psychological consequences of economic and cultural change (2014)
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