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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.
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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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Delineating Russian cities in the perspective of corporate globalization: towards Large Urban Regions

CyberGeo. 2020. Article 949.
Rogov M., Rozenblat C.

The paper presents a new type of urban delimitation for Russian cities called Large Urban Region which facilitates showing the level of integration of cities into globalization through the presence of multinational firms, and enables urban comparative research on the global scale. An important objective of the new delimitation is to encompass the area likely to be home to multinational companies, which are by basic presumption the most dependent on location near a national or international airport. Previous studies on urban delineations in Russia have focused, almost exclusively, on morphological aspects or on functional urban areas, which have substantial limitations and are not always adequate for global urban comparisons. In this article we propose to apply a more suitable combination of criteria to delineate cities as large urban regions. We illustrate the relevance of these criteria for the polycentric urban structure such as Samara, and for the monocentric city such as St. Petersburg. Then, we apply this delimitation for all Russian cities which results in 120 Russian LURs. We demonstrate the usefulness of this new LUR delineation for the largest Russian cities showing how much it changes their sizes in terms of population and number of companies, and argue that these sizes are more realistic to state their rank in globalization than previous methods.

Research target: Social and Economic Geography (including Urban and Transportation Studies)
Priority areas: economics state and public administration
Language: English
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DOI
Text on another site
Keywords: globalizationdatabasecityurban areas
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