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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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Библиометрические признаки как символические маркеры дисциплинарных границ: социологическая перспектива

Мониторинг общественного мнения: Экономические и социальные перемены. 2024. № 6. С. 27–51.
Ivanov D., Deviatko I. F.

Symbolic markers (as those used in “we-they” attributions) help delineate whether a scientist (among other things) finds themselves at the intersection, within, or outside the confines of a given disciplinary boundary, thereby facilitating the swift navigation across an ever-growing corpus of scientific literature. Frequently, these boundaries are revealed through bibliometric analysis, which makes it possible to observe some quantifiable characteristics of the features of the proposed boundaries. Nevertheless, this method falls short of providing a sociologically meaningful interpretation, particularly regarding the historical dynamics and the demarcation of scientific disciplinary communities, unless the subjective salience of these observable features is meticulously considered.

To measure the salience of bibliometric features: 1) we selected “façade” features (such as the length of titles counted in words, length of reference lists, and number of co-authors) and analyzed them using metadata from Russian sociological and psychological journals; 2) using an experimental methodology in a separate study, we addressed two disciplinary groups of scientists tasked to guess the distribution parameters of these features in two types of articles affiliated with corresponding disciplines — this procedure assessed the accuracy of intuitive everyday predictions, indicating the effect of implicit background knowledge about the features that could be used as heuristics for disciplinary attribution.

Comparing the predictions with bibliometric data, we found that the reference list length was the most salient perceptual feature, especially in the case of psychological articles. Title length was salient to sociologists at the intragroup level, helping them differentiate between disciplines.

The article discusses the comparative significance and prospects for further use of objectively observed bibliometric differences to formulate and test hypotheses about the internal principles of demarcation and the processes of mutual influence of scientific disciplines. The methodology tested in this study has the potential to obtain additional knowledge regarding the results of previously conducted and planned scientometric studies.

Research target: Sociology (including Demography and Anthropology
Language: Russian
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Keywords: социология наукиsociology of scienceexperimentэкспериментыбиблиометрия disciplinary boundariesдисциплинарные границыbibliometricssaliencysymbolic markersзаметностьсимволические маркеры
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