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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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Институциональные факторы решений иностранных инвесторов о структуре новых инвестиций

С. 540–548.
Bessonova E., Gonchar K. R.

This paper presents the findings from the project, supported by the Individual grant program of the HSE Reserach Fund. It explains the scale decisions of greenfield affiliates of foreign mutinationals at the Russian market depending on the institutional barriers at the subnational level. We have used microdata of greenfield FDI firms, which entered the market between 2001 and 2001 and excluded the round tripped investors. The data was obtained from RUSLANA Bureu Van Dijk data set and survey data from the World Banks BEEPs data on Russia from 2011. We have run the multilevel nested logit model of the regional choice from 37 alternatives and interact the firm size and institutional variables. The results confirm the theoretical prediction: weak subnational institutions are associated with less entries and larger size of affiliate. We have explained this results by the need to have sufficient resources to cover entry costs in high barrier locations and the need to have sifficient size to extablish informal connections with the authorities and other market participants in order to be able to function in tye places with the relatively weak institutions. 

Language: Russian
Full text
Keywords: институтыпрямые иностранные инвестиции Foreign Direct Investment (FDI) informal and formal institutionssize of foreign affiliateразмер предприятия
Publication based on the results of:
Структурные решения иностранных инвесторов в условиях неэффективных институтов (2015)

In book

XVI Апрельская международная научная конференция по проблемам развития экономики и общества: в 4 кн.
XVI Апрельская международная научная конференция по проблемам развития экономики и общества: в 4 кн.
Кн. 2. , М.: Издательский дом НИУ ВШЭ, 2016.
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