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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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Потенциальное поглощение углерода фитомассой древостоя при восстановлении тугайных лесов

Лесоведение. 2020. № 2. С. 115–126.
Zamolodchikov D., Каганов В. В., Липка О. Н.

A predictive system was developed for the assessment of carbon absorption by trees phytomass during the restoration of riparian forests in a valley of Ili river (Kazakhstan republic)/ The system comprises the constraint equations between the density of forest stand and their age; mean height and age; mean trees’ diameter and density; it includes the allometric constraint equations between trees phytomass and valuation parameters as well. The system allows to calculate the absorption and sequestration of carbon by the phytomass annually. The system was applied for the description of growth dynamics of desert poplar in three growth class variations, as well as the oleaster (Elaeagnus oxycarpa) and white willow. At the end of 30-years resforestation period the phytomass’ carbon will constitute: up to 50.14 t C ha–1 for the first-class desert poplar, 40.51 for the second-class, 35.79 for the third-class desert poplar, 15.61 for the oleaster 92.52 t C ha–1 for the white willow. The maximum absorption capacity age was different for various forest stands: 9 years for oleaster, 13 for firstclass desert poplar, 16 years for second-class desert poplar and the white willow, 23 years for the third-class desert poplar. The system can be applied to predicting the carbon absorption by other species’ stands after finding the necessary parameters using the regression method or based on the assumption on start and maximum values of density and the mean height.

Research target: Agriculture, Forestry, and Fisheries
Priority areas: IT and mathematics engineering science
Language: Russian
Full text
DOI
Keywords: прогнозprojectioncarbon sequestrationпоглощение углеродалесовосстановлениеreforestationriparian forestsтугайные леса
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