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October 1, 2026
HSE Researchers Show How Congenital Motor Disorders Affect Brain Development
Researchers from HSE University’s Institute for Cognitive Neuroscience have synthesised the findings of their previous studies on brain development in children with obstetric brachial plexus palsy and arthrogryposis. Their analysis shows that impaired motor function in early childhood not only limits children’s motor experience but also affects memory, categorical thinking, and information processing. The study has been published in Frontiers in Psychology.
October 1, 2026
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Russian universities, with the participation of HSE University, Sber, and Z-union, have developed a neural network that can simultaneously assess the risk of 15 types of pathology from retinal photographs, including not only eye diseases but also cardiovascular conditions. The AI system can help clinicians detect potentially concerning changes at an early stage, identify signs reflecting the condition of retinal blood vessels, and determine whether a patient may need further examination. The paper has been published in Frontiers in Medicine.
September 30, 2026
'We Did Not Limit the Time for Questions'
The International Laboratory for Supercomputer Atomistic Modelling and Multi-Scale Analysis at HSE University held a major conference on molecular dynamics. Participants had the opportunity to attend all the presentations, while speakers were given as much time as they needed to answer questions. The HSE News Service interviewed Grigory Smirnov, Head of the Laboratory, and Genri Norman, Chief Research Fellow, about the conference preparations and the discussions it generated.

 

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Межрегиональная миграция молодежи в России: комплексный анализ демографической статистики

Вопросы образования. 2016. Т. 13. № 3. С. 169–203.
Kashnitsky I. S., Mkrtchyan N. V., Leshukov O.

Not dissimilar to many other countries, migration in Russia has a pronounced age-dependent pattern with the peak intensity at the age when people obtain a professional education. In this paper, we analyze migration intensity at student age (17–21) using three sources of demographic data with due regard for their key opportunities and limitations. We compare the migration attractiveness of Russian regions in three ways: (1) applying APC analysis to registration data, separately for two periods: 2003–2010 and 2011–2013; the reason for sampling these two periods is because there was a significant change in the migration statistics collection practices in 2011; (2) using the age-shift method to analyze the data of the 2002 and 2010 Russian Censuses; we offer a way to refine the census data by discarding the non-migration-related changes in the age-sex structure; (3) using information about the average ratio of full-time university enrolments to the number of high school graduates in the academic years 2012/13 and 2013/14 across the regions. Based on the four indicators of migration intensity (intercensal estimates, statistical records for the two periods, and the graduate-enrolment ratio), we develop a ranking of the regions of Russia in migration attractiveness for young adults. A position in this ranking depends not only on the level of higher education development in a region but also on the consistent patterns of interregional migration in Russia. The regions in the European part of the country have a much higher chance of attracting student migrants.

Research target: Sociology (including Demography and Anthropology Education
Priority areas: economics sociology
Language: Russian
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DOI
Text on another site
Keywords: миграционный приростучебная миграцияYouth migrationмиграция молодежиметод возрастной передвижкиeducational migrationpositive net migrationage-period-cohort analysisage-shift methodrating of region attractivenessкогортно-компонентный анализрейтинг привлекательности регионов для студентов
Publication based on the results of:
Migrants in a metropolis: Opportunities for socioeconomic integration in the city. Comparative analysis. Russian and international experience (2016)
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