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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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Экспрессия иммуно-ассоциированных генов в изолированных классических моноцитах при преэклампсии

Вестник Российского университета дружбы народов. Серия: Медицина. 2025. Т. 29. № 3. С. 335–352.
Вишнякова П. А., Киселева В. В., Полтавец А. С., Карягина В. Е., Багдасарян А. А., Knyazev E., Муминова К. Т., Ходжаева З. С., Ельчанинов А. В., Сухих Г. Т.

Relevance. Preeclampsia is a severe complication of pregnancy, occurring in 8% of cases and causing high maternal and perinatal mortality and morbidity. The etiology of preeclampsia is still a subject of research, however, more and more data indicate the involvement of innate immune cells, monocytes, in the pathogenesis of this dangerous pathology. The aim of our work was to study the expression of a number of immune-associated genes in classical blood monocytes in preeclampsia and physiological pregnancy. Materials and methods. The work used the methods of gradient centrifugation, magnetic sorting, cytometric analysis, real-time PCR. Results. We obtained a polar change in the interleukin-receptor axis for CXCL8 and its receptor CXCR1. In the first case, we observed a decrease in its relative level in PE, while the expression of its receptor increased. We also found a decrease in the expression of the pseudogene ADGRE4P in PE. Discussion and conclusions. The role of individual monocytic subpopulations in the development of PE is still being clarified. It is obvious that monocytes can change the cytokine profile of blood plasma of patients with PE, enhance the reactions of innate immunity, including inflammation. The CXCL8-CXCR1 axis may become a potential therapeutic target in the treatment of this dangerous gestational pathology.

Research target: Biology Basic Medicine Clinical Medicine
Language: Russian
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Keywords: PreeclampsiaПреэклампсияцитометрияreal-time PCRmonocytesCD14cytometryмоноцитыCD14ПЦР в реальном времени
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