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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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Анализ латентных профилей личностных детерминант преодоления трудных жизненных ситуаций (российская и узбекская выборки)

СибСкрипт. 2020. Т. 22. № 4. С. 972–979.
Vecherin A.

The results of the analysis of latent profiles of personal determinants of overcoming difficult life situations in the Russian (989 people aged 18 to 78 years) and Uzbek samples (272 people aged 18 to 48 years) are presented. The following methods were used in the study: Proactive Coping Inventory (PCI), Uncertainty Tolerance Inventory (MSTAT-II), Positive and Negative Emotions Inventory (PANAS). According to the results of statistical analysis of latent profiles (LPA), the best model was described, including five latent profiles. This model demonstrated similar profiles in the Russian and Uzbek samples. A profile with high values on the scales of proactive, reflective, preventive coping, strategic planning and at the same time low values on the scales of seeking social and emotional support is characterized by a high level of positive and low values of negative affect. A profile with low scores on the scales of proactive, reflective, preventive coping, strategic planning and, at the same time, higher scores on the scales of seeking social and emotional support is associated with high avoidance of a problem situation, low tolerance for uncertainty, and negative affect.

Research target: Psychology
Language: Russian
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Keywords: толерантность к неопределенностисовладание с трудностямиtolerance for uncertaintycoping strategies coping with difficultiesproactive coping проактивный копинг стратегии совладания
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