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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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Обоснование выбора технологии перегрузочных работ с учетом особенностей функционирования объекта

Логистика и управление цепями поставок. 2017. № 3. С. 21–30.
Nikolaevskiy N., Пилипчук С. Ф., Спасский Я. Б.

The development of the domestic economy from the beginning of the 21st century is characterized by the growth of energy resources export volumes, including coal. That circumstance determined the increased demand for the design, research and modernization of export bulk cargo terminals. Growth of customers requirements and outdated standards, regulations and specifications define the need to improve design’ quality. An article covers issue of justification of material handling technology in the stockyard area of the export bulk cargo terminal within organizational and technical design. These terminals have a large throughput capacity and a unidirectional material flow which determine their narrow specialization and increased demands of ensuring reliability for terminals’ functioning. Providing of material handling technology in the stockyard area based on using specialized high-performance equipments with stream-flow transportation – stackers and reclaimers, as well as their combined type – stacker-reclaimers. That circumstance defined appropriateness of the problem research of equipment selection type (separate or combined) taking into account special aspects. To solve this problem, we used simulation methods that allowed to create a simulation model of the stockyard area functioning and to carry out experiments of parameters variation. The results allowed to estimate the range of incoming and outgoing flow intensity, which determines preference of choosing schemes with separate or combined equipment’ type. A formalized selection process by using the qualimetry methods based on a system of criteria was offered in reason of accounting special aspects of functioning within justification of the most effective material handling technology with increased accuracy. Mathematical tool, which used in proposed selection procedure, allows to taking into account many parameters, including qualitative characteristics, in spite of difficulty to present them in concrete values form. Thus, accounting special aspects of functioning becomes possible, which in general allows to substantiate the most effective material handling technology.

Research target: Natural Sciences Engineering and Technology
Priority areas: IT and mathematics engineering science
Language: Russian
Keywords: имитационное моделированиелогистическая системаsimulation modellingТерминал для экспорта сыпучих грузовlogistic system
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