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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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Стратегии миграции врачей в периферийные муниципальные образования (на примере Тверской области)

Мониторинг общественного мнения: Экономические и социальные перемены. 2021. № 3. С. 316–338.
Андреева Е. А., Karachurina L. B.

The article identifies five strategies for migration to rural and remote areas of Tver region. The study is based on biographical interviews with fifteen medical doctors who have moved to the periphery as well as on interviews with eight experts in the field of health governing. The revealed strategies result from the interplay between push and pull factors of migration and socio-demographic profiles of migrants. The strategy "Be of use in the place where you were born" is linked with a return migration, particularly if doctors come back to their hometown after graduation from the university because of a lack of resources for life in a big city and the presence of intergenerational transfers."Decembrist wives" — is a strategy of following the spouse to the periphery. Relocation of the "Enforced immigrants" is caused by war, economic or family crisis in their home. Guided by the "Careerists" strategy, young doctors from big cities and capital areas are attracted by opportunities for gaining professional experience, while doctors of middle and pre-retirement age are interested in the promotion to the high-level administrative positions. The "Desire of a million" strategy is characterized by receiving material rewards such as housing or compensation payments. At the same time, doctors from big and capital cities often choose to commute between the place of work (which is their official place of residence along with the rules of participation in the “Zemsky doctor” federal program) and the actual place of residence. Doctors who have experienced living in small towns and rural areas often tend to move to the periphery on a permanent or temporarily basis. For them it is associated with lower costs of living — the existing programs allow them to improve the level of life and living conditions. In turn, all these factors increase the likelihood of such doctors becoming entrenched in the periphery.

Research target: Sociology (including Demography and Anthropology Health Studies
Priority areas: sociology state and public administration
Language: Russian
Full text
DOI
Text on another site
Keywords: внутренняя миграцияinternal migrationмиграция врачейmigration of doctorsmigration to small towns and rural areamigration modelsпрофессиональная миграциямиграция в малые города и сельскую местностьмодели миграции
Publication based on the results of:
Analysis of adaptation of various socio-economic and demographic groups to the pandemic consequences in the context of new social policy measures (2021)
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