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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
Window into the Body: Scientists Develop Neural Network to Detect Risk of 15 Diseases from Retinal Images
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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Динамика спроса на навыки и отраслевая структура экономики: анализ развитых и развивающихся стран

Вестник Санкт-Петербургского университета. Серия 5. Экономика. 2022. Т. 38. № 1. С. 65–84.
Telezhkina M.

The paper considers changes in the structure of employment by skill level in countries. Differences in dynamics of the shares of employed with high, medium and low skill levels is traditionally explained by differences in exposure to routine biased technologies, participation in international trade, exposure to offshoring in the country. The current paper contributes to the literature about the drivers and determinants of changes in structure of employment by skill level considering the industrial structure to be the one of main factors. We assume that the dynamics of employees with high, medium and low skill levels depends on the shares of agriculture, manufacturing and service in the economy. Service industry has the largest share of employment; it is highly competitive and prone to the growing influence of large scale technologies. Using the data of 218 countries for the period 1989-2019 we prove that the greater the service industry in the economy, the higher the share of employed in high skill occupations in absolute value and relative to the share of employed in medium skill occupations. The faster the growth of service industry, the higher the growth rate of the number of employed in medium and high skill occupations. The share of manufacturing in GDP, the value of GDP per capita are the significant determinants of the dependent variables. We highlight substantial differences in the models of the structure of employment by skill level and its dynamics in the developed and developing countries, the oil exporting countries.

Research target: Economics and Management
Language: Russian
Full text
DOI
Keywords: развивающиеся страныпанельные данныеdeveloping countriesdeveloped countriesindustrial structureразвитые страныотраслевая структура panel dataemployment by skill levelструктура занятости по уровням навыков
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