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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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Delay Analysis of Massive Unsourced ALOHA-based Protocols with User Authentication

Ch. 180440. P. 1–5.
Nesterenkov O., Chemodanov A., Turlikov A.

The number of devices transmitting any data is increasing rapidly every day, so modern wireless networks (especially sensor networks, where the number of sensors connected to one base station can be enormous) must adapt to new realities, and developers must change data transmission algorithms. In this article, we consider the problem of constructing the lower estimation of average delay in massive random access protocols with source authentication. We consistently describe the device's authentication algorithm, introduce massive random access system model, define an optimization problem of finding the minimal value of identification field size. Based on problem's solution, the lower estimation of average delay for this system is obtained by theoretical calculation.

Language: English
DOI
Keywords: optimizationLower boundALOHAaverage delaymassive unsourced random access

In book

2022 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF) 30 May - 3 June 2022, St. Petersburg, Russia.
IEEE, 2022.
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