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News
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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Медицинская грамотность в современной клинической практике (аналитический обзор)

Клиницист. 2026. Т. 19. № 4. С. 34–42.
Ларина В. Н., Матвейчук Т. А., Ларина Е. В.

In response to the global increase in chronic noncommunicable diseases, the World Health Organization and the United Nations have adopted strategies to reduce premature mortality. Improving the health literacy of the population which is defined as a combination of knowledge, motivation and practical skills to maintain health is recognized as a key task for achieving these goals. The basic skills for developing health literacy are understanding, explaining, and changing health-related behaviors. The importance of this issue in disease prevention is highlighted by the fact that a number of countries have already established separate national programs to improve health literacy, and in some countries this topic is included in the national strategy for the prevention and control of noncommunicable diseases. There are various models and questionnaires for assessing health literacy, but the lack of a single standardized tool makes this work difficult. At the same time, The Health Literacy Questionnaire (HLQ) and the European Health Literacy Survey Questionnaire (HLS-EU-Q) are considered the most thoughtful due to the assessment of conceptually different areas of health literacy among the subjects. Research shows that the literacy rate is related to socio-demographic factors: it is lower among the elderly, people with low incomes and education levels. It has been demonstrated that patients with a lower level of health literacy are less aware of diseases, do not participate in public life, and have a prognostically unfavorable pattern of behavior, i. e. sedentary lifestyle and poor nutrition. Special attention is paid to the development of digital health literacy, as it moderately correlates with maintaining a healthy lifestyle, as well as medical literacy in matters of immunoprophylaxis.

Research target: Medical and Health Sciences
Language: Russian
Full text
DOI
Keywords: здоровый образ жизниhealthy lifestylerisk factorфактор рискаприверженность к лечениюhealth literacy медицинская грамотностьhealth literacy measurement оценка грамотности в вопросах здоровья
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