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September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.
September 7, 2026
Biologists Discover 'Molecular Fingerprint' of Preeclampsia
Researchers at HSE University employed a new method to model hypoxia in placental cells during pregnancies complicated by preeclampsia and identified molecular markers of tissue hypoxia. Since hypoxia is one of the key mechanisms underlying preeclampsia, these findings are important for a more accurate and timely diagnosis of the disease and for the development of effective treatment methods. The paper has been published in Placenta.

 

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Массовое высвобождение работников: политика стран ОЭСР

Мировая экономика и международные отношения. 2020. Т. 64. № 7. С. 17–25.
Vishnevskaya N., Zudina A. A.

According to OECD statistics, in 2003–2013 annual incidence of job displacement varied from 1% to 7% of total
number of wage and salary workers aged 20–64. Labour reallocation is a necessary part of labor market flexibility
and economic growth however worker displacement generally also leads to an increase in unemployment and to a
decrease in the income of those dismissed. Therefore, a set of measures to mitigate the negative consequences of this process is becoming an important direction of labor market policy. Significant cross-country differences in the ratios of re-employment and the size of wage gaps between jobs indicate that a well-designed and effective labor market measures, as well as properly “tuned” institutions, can significantly reduce the social risks of layoffs. Employees of obsolete professions who require serious professional retraining are in the group of primary risk after the displacement. Given the increasing dynamism and flexibility of the labor market throughout the world, the development of a more targeted system of financial support for the dismissed which involves coordinating the payment of benefits of various types, as well as taking into account the interests of vulnerable workers who do not have time to gain the tenure necessary to participate in the voluntary insurance program, is needed. Present study outlines the main policies for mass layoffs in OECD countries. Particular attention is paid to the characteristics of the system of financial support for the displaced workers, including the specifics of unemployment benefits and severance pay, as well as the configuration of active programs in the labor market and the practices of the public employment service.

Research target: Economics and Management
Priority areas: economics
Language: Russian
Full text
DOI
Text on another site
Keywords: рынок трудабезработицаОЭСРпособиезаработная платавысвобождение персоналаслужбы занятости
Publication based on the results of:
Preferences and non-cognitive components of human capital and the functioning of the Russian labour market (2020)
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