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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
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May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
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Кризис российской аспирантуры: источники проблем и возможности их преодоления

Университетское управление: практика и анализ. 2018. № 22. С. 54–66.
Terentev E., Bekova S., Maloshonok N.

The article attempts to analyze the current situation in training scientific and pedagogical personnel, as well as certain reasons for the low indicators of candidate-of-sciences theses defended in recent years. There are analyzed the state and dynamics of the system of postgraduate training in the post-Soviet period, including changes that came into force in 2013 and 2014 – those of assigning an educational status to postgraduate studies and of increasing requirements imposed on applicants of academic degrees. It is discussed how these changes fit the global context of postgraduate education development, whether they can be considered an explanation for the decrease of theses defences. The article proves that the negative trends observed today in the sphere of scientific and pedagogical personnel training are determined by the processes occurring in higher education and science in the post-Soviet period and by the problems arisen as a result of these processes. The empirical base of the research is a survey of 1,866 graduate students in 11 Russian universities participating in Project 5–100, as well as semi-structured interviews with 20 graduate students and 11 university staff responsible for the implementation of graduate programmes. The key problems of the Russian postgraduate studies identified on the basis of the empirical study are the following: (1) poor quality of enrollment; (2) poor quality of scientific advisory; (3) insufficient financial support of postgraduates. The article suggests possible steps to overcome these problems.

Priority areas: sociology
Language: Russian
Full text
DOI
Keywords: аспирантураподготовка научно-педагогических кадровреформирование аспирантурымодель наставничестваструктурированные аспирантские программы
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