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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
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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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A knowledge-based view of team performance resilience: evidence from esports

Journal of Knowledge Management. 2026.
Parshakov P., Naidenova I. N., Molodchik M., Shvaya Timofey
In press

Purpose
This study aims to develop a knowledge-based perspective on team performance resilience by conceptualizing it as a capability rooted in the structure, integration, and reconfiguration of knowledge.

Methodology
The study employs a quantitative empirical design using data from professional esports teams competing in Counter-Strike: Global Offensive (CS:GO). Exogenous shocks are captured through changes in the competitive map pool, providing a quasi-experimental setting. Team resilience is measured as the ratio of post-shock to pre-shock performance and the speed of recovery. Key knowledge-related variables are operationalized using team-level metrics, and their associations with resilience outcomes are estimated using regression models.

Findings
The results show that knowledge specialization has an inverted U-shaped relationship with team performance resilience, indicating an optimal balance between efficiency and adaptability. Knowledge integration efficiency, proxied by language similarity, is positively associated with resilience, while age diversity is not statistically significant. Knowledge reconfiguration through team turnover is also positively associated with resilience, whereas accumulated team experience is negatively associated with it, consistent with the possibility of knowledge rigidity. Additionally, post-shock experience and exposure to stronger competitors are associated with recovery and adaptation.

Originality
The originality of this study lies in advancing a knowledge-based perspective on team performance resilience by highlighting three interrelated knowledge tensions: specialization versus diversification, similarity versus diversity, and accumulation versus renewal. Empirical evidence from the unique context of professional esports, characterized by objective performance measures and exogenous shocks, provides insights that are transferable to other knowledge intensive teams operating in dynamic and uncertain environments.

Research target: Economics and Management
Language: English
Full text
DOI
Text on another site
Keywords: «знаниевый» подходknowledge-based vieweSportsкиберспортExogenous shocksэкзогенные шокиteam resilienceknowledge specializationустойчивость командыспециализация знаний
Publication based on the results of:
Strategic behavior of companies and individuals under conditions of technological transformation in Russia (2025)
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