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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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Медицинские и экономические факторы расходов населения на лекарственные средства и биологически активные добавки во время пандемии COVID-19

Электронный научный журнал "Социальные аспекты здоровья населения". 2022. Т. 68. № 6. Статья 3.
Zasimova L. S., Хусаинова А. Г.

Significance. In 2020, many Russians faced an increased need for medicines to treat COVID-19 and its complications, as well as economic hardship due to the crisis caused by the pandemic.

The purpose of the study. To identify key factors that determined the Russian households’ spending on medicines and dietary supplements during the pandemic.

Material and Methods. The study used Russian Longitudinal Monitoring Survey - National Research University “Higher School of Economics” samples of households and adults for the year 2020. We employed regression models to estimate the probability of purchasing medicines and dietary supplements, and family expenses on medicines and dietary supplements, depending on medical factors, healthy lifestyle factors, socio-economic and demographic factors.

Results. The probability of buying medicines and dietary supplements and the household expenditures were higher in families with the disabled, individuals with multimorbidity, with self-reported poor health, and with pensioners. High expenditures on medicines and dietary supplements were observed in families which members visited doctors on a regular basis. Both the probability and expenditures on medicines and dietary supplements rose with the increase in average per capita income. The presence of children under 14 years in the family was associated with a decrease in expenditures on medicines. Smoking, overweight and sports were significant contributors to expenditures on medicines and supplements, although their relative contributions were quite small. Private health insurance did not affect expenditures on medicines. Residents of the Northwestern Federal District spent significantly more on medicines compared to residents of other districts.

Conclusions. Expenditures on medicines and dietary supplements in 2020 were largely explained by the following two key factors - people suffering from two or more chronic conditions in the family and the average per capita income. Other household factors, although significant, contributed much less to the decision to spend on medicines and dietary supplements. Public provision of medicines especially during economic crisis can be improved by supporting poor households and including patients with multimorbidity into drug reimbursement programs and thus expanding the number of its beneficiaries.

Scope of application. The study results can be used to improve policy on pharmaceutical provision of the population.

Research target: Economics and Management
Language: Russian
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Keywords: здоровый образ жизниhealthy lifestyleлекарственные средстваhousehold incomeхронические заболеваниядоходы домохозяйствchronic conditionsdietary supplementsбиологически активные добавкиCOVID-19 pandemicпандемия COVID-19Multimorbiditymedicinesavailability of pharmaceutical provisionмультиморбидностьдоступность лекарственного обеспечения
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