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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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The Health Workforce of the Russian Federation in the Context of the International Trends

NRU Higher School of Economics , 2016.
Sheiman I., Gerry C.
Having one of the highest physician-population ratios in the world, Russia – paradoxically – also faces shortages of physicians. This paper explores the reasons for this paradox through examining the structural characteristics of the Russian health workforce and its development. In comparing Russia with mainstream European countries and in particular the ‘new” EU countries we argue that the shortage of physicians is determined mostly by the prevailing model of health workforce development with its enduring emphasis on quantitative rather than structural indicators. First, the traditional perception of physicians as inexpensive health resources determines the long-term growth of their jobs – irrespective of the new opportunities for substitution and other structural innovations. Second, there is a persistent distortion in the composition of physician supply, of which the most important is the very low share and narrow remit of primary health care providers in comparison to European standards. Third, the international trends in the division of labor between physicians, medical nurses and allied health personnel are not followed in Russia with the result of an inevitable overburden of physicians, the reproduction of a large supply of physicians, while also the paradoxical shortage. Fourth, the system of professional development of physicians does not match international standards. Although with a substantial delay, Russia has now started transition to a workforce model focused on structural characteristics of human resources and so, in the final part of the paper, these new initiatives of the Government are critically assessed.
Research target: Basic Medicine Health Studies
Priority areas: state and public administration
Language: English
Full text
Keywords: Russiaphysicianshealth workforcehealth workforce policy health care systemsprimary care health reforms.
Publication based on the results of:
The transformation of the structure of the health workforce and motivation of medical personnel under the influence of economic, technological factors and state human resources policy (2016)
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