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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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National or European Politicians? Gauging MEPs Polarity When Russia is Concerned

2016. No. WP BRP 35/PS/2016.
Dekalchuk A. A., Khokhlova A., Skougarevskiy D.
The European Parliament (EP) is viewed as a normal parliament. Voting patterns of its members (MEPs) are mainly aligned with transnational political groups, not national cleavages. Yet, it has been proven by many that MEP voting patterns are an outcome of conflicting pressures and a distorted indicator of their individual political orientations. In this stud y we rely on MEP written questions to the European Commission to measure the policy positions and their determinants. Using the universe of 100,000+ such questions in 2002 – 2015 linked with MEP country and European Political Group affiliation data, we test whether one issue of high sensitivity to their domestic audiences — Russia — makes the MEPs take their nationality seriously and pay more attention to it regardless of their transnational partisan affiliations. We rely on supervised machine learning to unc over sentiment of every question asked on a negative - positive scale. Then we contrast the sentiment of questions related to Russia with the rest of questions conditional on party and national affiliation of the MEP asking the question. We find that (i) MEP question involving Russia is twice as negative in tonality as an average question, (ii) more variation in modality of Russia - related questions is explained by MEP national affiliation than her EPG. Our findings are robust to alternative methods of sentime nt extraction and to controlling for time - invariant unobserved heterogeneity of MEPs.
Research target: Political Science, International Relations, and Public Administration
Priority areas: state and public administration
Language: English
Full text
Text on another site
Keywords: российско-европейские отношенияEU-Russia relationsEuropean ParliamentЕвропейский парламентEuropean politicsевропейская политикаwritten questionstext-as-datasentiment miningписьменные вопросытекст-как-данныесантимент-анализ
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