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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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Социально-экономическое положение городских агломераций России в 2015–2021 гг.

Вестник Санкт-Петербургского университета. Науки о Земле. 2023. Т. 68. № 3. С. 443–470.
Abdullaev A., Землянский Д. Ю., Калиновский Л. В., Медведникова Д. М.

The article provides a comparative assessment of the key socio-economic features and trends in the development of urban agglomerations of Russia in 2015–2021. A distinguishing characteristic of the study is the approbation of a method for assessing the level of economic development of agglomerations using data from the Federal Tax Service of Russia on the volume of tax revenues. The analysis confirms that agglomerations provide an extremely high contribution to the economic development of the country and continue to form the basis for the growth of the taxable economy. The most part of contribution to country development indicators is still provided by the largest Moscow metropolitan agglomeration, the concentration of resources within its borders has only intensified in recent years. The differentiation of the other agglomerations also stays great, and the cumulative contribution of them (in sum) by a number of indicators is comparable to one of Moscow agglomeration. The best economic results are shown by agglomerations with industrial specialization, but the development of the economic complex in them does not have a significant stimulating effect on the growth of labor market indicators, household incomes and service sectors. The least developed agglomerations are ones with a high role of «shadow» sectors in the economy and «administratively designated» ones (Ulan-Ude, Penza, Ryazan), located in regions of the country with a depressed economic situation. Reduced values of development are also typical for agglomerations of the Volga region. At the spatial level within individual agglomerations, there is a clear manifestation of center-peripheral differences by most indicators, however, the study showed that the level of development of the cores of agglomerations and their suburbs is not always high, and the positive influence of the agglomeration core (with the exception of Moscow) rarely spreads beyond the nearest belt of municipalities. The results of the study suggest a narrowing of the approach to delimiting the boundaries of agglomerations and prove that the current state measures for the development of the agglomerations (except Moscow one) have not yet made a significant impact on accelerating economic growth and expanding the geography of the influence of agglomeration factors.

Research target: Social and Economic Geography (including Urban and Transportation Studies)
Language: Russian
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Keywords: экономический ростeconomic growthсоциально-экономическое развитиеsocio-economic developmentналоговые поступлениягородские агломерацииurban agglomerationstax revenuesгорода Россииcities of Russia
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