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  • Балансовые и факторные модели как инструмент анализа и прогнозирования структуры экономики
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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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Балансовые и факторные модели как инструмент анализа и прогнозирования структуры экономики

С. 50–75.
Suvorov N. V., Трещина С. В., Белецкий Ю. В., Balashova E.

The subject of this work is the presentation of methods and results of the development of special tools for forecasting and analytical studies designed to ensure the formation of quantitative indicators that characterize the material proportions of the economy. Methodical and instrumental problems associated with the formalization of quantitative interrelationships between macroeconomic information presented by data on individual functional elements of final demand (used GDP), on the one hand, and indicators of output volumes of individual industries (types of economic activity), on the other hand, are considered. The questions connected with construction of retrospective and forecast indicators of interbranch relations are analyzed.

Language: Russian
Full text
Keywords: метод "затраты-выпуск"balance and factor modelsanalysis and forecast of the structure of the economyInput-output methodinterbranch relationsбалансовые и факторные моделианализ и прогноз структуры экономикимежотраслевые связи

In book

Научные труды: Институт народнохозяйственного прогнозирования РАН
М.: МАКС Пресс, 2017.
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