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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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Территориальная доступность транспортного обслуживания в системе развития административных районов: динамика и новая реальность в Санкт-Петербурге

С. 92–105.
Kaisarova V. P., Koklev K.

The article examines the trends in the development of territorial accessibility of public transport for the population of the largest city based on the geoinformation analysis of the spatial features of its infrastructure. The article provides a transport dynamic for the period 2015-2024 based on cluster analysis of data on individual types of transport and in the structure of 18 urban districts of St. Petersburg. The analysis of the relationship between a number of indicators of public transport using QGIS software revealed spatial disproportions. The authors propose solutions for managing territorial transport accessibility in groups of districts and their borders for Russia's second capital.

Language: Russian
Full text
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Keywords: транспортная доступностьгородская инфраструктураurban infrastructuretransport accessibilityterritorial accessibilityтерриториальная доступностьthe cityconvenience of using modes of transportsocial acceptability of modes of transportкрупнейший городудобство пользования видами транспортасоциальная приемлемость вида транспорта

In book

Региональная экономика и развитие территорий: сборник научных статей
Вып. 19. , СПб.: Издательство СПбГЭУ, 2025.
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