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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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Телевизионные измерения в эпоху Big Data: концепции и примеры

Вестник Московского университета. Серия 10: Журналистика. 2017. № 3. С. 37–57.
Vartanov S.

One of the current trends in marketing and media research is the growing intensity of Big Data use. In the media industry, Big Data can be used not only for advertising and market research but also for audience measurements. The most important type of Big Data in this case is the return path data (RPD) gathered from set-top boxes (STBs) used for digital television broadcasting. The proper analysis of these data makes it possible to improve the accuracy of the traditional media measurement methods based on peoplemeter panels. This article provides a review of Big Data-oriented methods of television audience measurements and some reallife examples of their implementation.

Research target: Media and Communications Computer Science
Language: Russian
Text on another site
Keywords: цифровое телевидениебольшие данныемедиаизмеренияизмерения телевизионной аудитории
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