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News
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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Международные научно-исследовательские лаборатории в России: субъективная и объективная оценка результативности

Форсайт. 2013. Т. 7. № 4. С. 44–59.
Inglehart R. F., Karabchuk T., Moiseev S., Nikitina M.

International research laboratories represent a relatively new form of organizing scientific community for Russia. These units are aimed at attracting leading international scientists as well as young scholars thus contributing to increasing national research capabilities. The paper analyses efficiency of international labs in achieving these goals in terms of intrinsic (number of publications, patents etc.) and perceived criteria (job satisfaction). Motivation and involvement of employees as well as availability of resources are regarded as main determinants of efficiency. Basing on previous international and domestic studies in the field we built a conceptual model to estimate causal relations and correlations between these five variables.  Our data source was the online survey of international scientific laboratories staff, which was collected in April-June, 2012.

The publication describes the sample characteristics, provides factor analysis of motivation resulting in building a typology and finally does structural equation modeling to test the conceptual framework of the analysis.

Factor analysis showed that four important groups of employee motives exist. Laboratory staff may be motivated (or unmotivated) by achievement in science, focus on career abroad, practical-oriented material values and satisfaction with working conditions.

Using structural equation modeling authors provide empirical evidence to the hypothesis about relation between employee engagement and their job satisfaction. The more employees are engaged in the labs’ activities the higher job satisfaction and productivity level will be. However, the strength of these effects is relatively small. The assumption of a positive relationship between job satisfaction and the available resources was also confirmed. Additionally analysis showed that employee engagement has a positive effect on the achievement of both objective and subjective results.

Research target: Mathematics Sociology (including Demography and Anthropology
Priority areas: sociology
Language: Russian
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Keywords: мотивациярезультативностьудовлетворенность трудомресурсная базамеждународные лаборатории
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