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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.
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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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Advertising types cross-network effects on two sided platforms

Russian Journal of Economics. 2025. Vol. 11. No. 3. P. 331–348.
Veronika A. Khlyupina, Svetlana V. Golovanova, Pontual Ribeiro E.

Broadcast TV is a well-known example of a two-sided platform where cross network effects on the viewer and advertising sides interact. Like many platforms, it is advertiser-financed. While the literature shows that viewers dislike advertising, we explore a unique data set and distinguish between paid and non-paid (informative) ads. Cross-network effects’ estimates show that the latter carries a positive network effect on viewership. We also explore a significant change in public interest for more information in TV content in Russia in 2022 to estimate structural changes to cross-network effects. The results indicate that negative paid ads’ cross-network effects on viewership demand become stronger while positive non-paid (information) ads cross-network effectsbecome weaker, even conditional on TV programing changes. Symmetrically, on the other side of the platform, advertisers value viewership less after the preference change.

Research target: Economics and Management
Language: English
Full text
DOI
Keywords: рекламателевидениеadvertisingоценка спросаdemand estimationперекрестные сетевые эффектыдвусторонние платформыbroadcast TVcross-network effectstwo-sided platforms
Publication based on the results of:
Restructuring of the Russian Companies, Industries and Markets in Response to New Global Challenges (2025)
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