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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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Исследования алгоритмов маршрутизации в SON сетях с использованием программных средств имитационного предсказательного моделирования

Информационные технологии. 2020. Т. 26. № 5. С. 302–310.
Миков А. И., Е.Б.Замятина, Калашников С. М.

The paper presents the results of a study of one of the routing algorithms in ad-hoc networks, namely, in SON (selforganizing) networks, by the method of simulation. Some kinds of ad hoc networks and features of the implementation of routing algorithms in these networks are considered. Attention is focused on simulation modeling tools, the requirements for software of this kind are indicated, and the constructions of the simulation language Triad are given. The simulation is performed in the TriadNS tool environment developed by the authors.

Research target: Computer Science
Language: Russian
Full text
DOI
Keywords: имитационное моделированиеsimulation modelingЯзык имитационного моделированияad hoc networksалгоритмы маршрутизацииrouting algorithmsad-hoc сетиDynamic graphs simulation systemsSON
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