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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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Модели и методы управляемой трансгрессии медиа в условиях кризиса

Вестник Российского университета дружбы народов. Серия: Литературоведение, журналистика. 2023. Т. 28. № 4. С. 749–756.
Zykov S. V., Babkin E., Ulitin B.

Creation and transgression of mediaobjects is a complicated process that involves making difficult decisions. Under such conditions, the risk of media crises inevitably increases, for example, inadequate perception by the reader of information released by the media, etc. To avoid such crises, it is necessary to take into account all possible factors, both quantitative and qualitative, characterizing mediaobjects and media in general, as well as precise evaluation methods. The focus of the study is on developing a new approach to decision-making that will aid in the controlled transgression of mediaobjects during crisis situations. The method for making decisions based on a hierarchy of cross-disciplinary criteria that takes into account the concept of crisisology is proposed. Additionally, the authors suggest the use of a decision support software service that utilizes an ontology-based mechanism to adopt the user interface dynamically. The proposed method is universal and can be applied to assess different types of medical objects, reducing the likelihood of crisis situations (caused, among other things, by incorrect assessment of the reliability of information).

Research target: Computer Science Economics and Management
Language: Russian
Full text
DOI
Keywords: многокритериальный выборподдержка принятия решенийcrisisologyкризисологияdecision support multi-criteria choicemedia objectмедиаобъект
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