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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
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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Применение библиометрического сетевого анализа для картирования исследовательского поля по теме «капитал здоровья»

Вестник Томского государственного университета. 2024. № 507. С. 66–80.
Pavlova I.

For a researcher a common practice is to work extensively on literature review to understand the research field to design the conceptual framework for the study. This task may not be trivial due to growing number of studies and interdisciplinarity/multidisciplinary of the research field.  The case of health capital research is a challenge both terminologically and conceptually. This paper aims at mapping and examining the structure of the research field on the topic of health capital within so-called algorithmic paradigm of systematic literature review. The main objective of the study is to develop and implement an algorithm for using bibliometric network analysis for thematic mapping of the research field with the help of computer-assisted tools.

The analysis was implemented in several steps with software tools (VOSviewer, Bibliometrix/Biblioshiny) for the datasets retrieved from the Web of Science database. Bibliometric co-occurrence and co-authorship networks were built in VOSviewer for three datasets of 57853, 3000 and 395 publications. Exploratory data analysis using R with the Bibliometrix library and the Biblioshiny web-module was implemented to build thematic maps and to track evolution of the research field.

The paper identifies the most important co-occurring terms/concepts and their relationship with health. In addition to social and human capitals, different other types of capital are highlighted which also contribute to the structure of the health capital research field (psychological capital, intellectual capital, cultural capital, etc.). Culturally determined health capital represents a specific form of cultural capital that can be used for effective interaction of individuals and organizations in the healthcare domain.

Study of health in relation to social or human capital manifests these approaches to be complementary, yet very specific ones. Social capital assumes a broader context and an indirect association with health (sociological paradigm), while human capital can be considered in a narrower context and directly related to health (economic paradigm). The health capital theory itself is considered within the framework of the economic paradigm.

Also, research topics were mapped by author keywords and keywords plus, which made it possible to identify well-developed “motor” and “niche” specialized topics of health capital research. The most “influential” subject categories for publications in Web of Science of health capital research correspond to a narrow economic paradigm (human capital theory, health capital theory).

In general, the implementation of the algorithmic approach increments new knowledge at every step of the study and clearly structures the research field of health capital - topics/themes, research evolution, most popular approaches and prominent authors. Such an algorithm with computer-assisted software tools helps to enhance understanding of the field for the ultimate goal of creating a high-quality systematic literature review, developing a conceptual research model and operationalizing basic terminology.

Research target: Sociology (including Demography and Anthropology
Language: Russian
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Keywords: человеческий капиталсоциальный капиталsocial capitalGrossman modelкультурный капиталcultural capitalhealth capitalкапитал здоровьясети соавторстваhuman capitalVOSviewerco-authorshipVOSviewerмодель Гроссманаkeyword co-occurrenceсоприсутствие ключевых словbibliometric network analysisBiblioshinycultural health capitalбиблиометрический сетевой анализBiblioshinyкультурный капитал здоровья
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