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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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Влияние цифровизации на процессы организации и функционирования логистических систем

Логистика и управление цепями поставок. 2018. № 5. С. 29–37.
Nikolaevskiy N., Grigorev M.

The results of the information technologies intensive development and implementation processes, recently defined as digitalization, were the basis of the significant changes in the domestic economy. At the same time, it is important to understand that digitalization process require an appropriate response in order to create an environment, which promote to development of strategically valuable economic sectors, include the industrial manufacturing. These circumstances determined the motivation of implementing at the state level such programs as the Digital Economy and the National Technological Initiative, that are aimed at creating conditions for the development of industry in the context of the digitalization.

Focusing on the logistics systems and industrial enterprise supply chains functioning processes, it is important to note, that new opportunities are opened due to development and implementation of information technologies in the economy digitalization context. These opportunities consist in the exchange of information between the individual production, logistics and auxiliary systems and their elements, as well as the products and the external environment, which in general will allow forming big data sets. Herewith, the result of processing the relevant data sets will form basis of the continuous improvement processes through self-organization and self-decision by the active system components.

At the initial stages of the study, a literature overview was done in the field of logistics system organizing within the contemporary concepts of industrial production development, including the Industry 4.0 concept. This has shown that on the one hand, there is a significant impact of digitalization processes on the organization and functioning of logistics system, but on the other hand, there is a lack of methodological developments in the area of these systems design.

For this reason, it is important to investigate the development of instruments for justification of logistics processes functioning characteristics within digitalization context. For this, a generalized structure of the digital logistics system was offered and the requirements for the functioning processes were determined. Taking into account a special aspects of this structure and functioning requirements, we offered to use simulation modeling tools in the organizational design problems. It is proposed to use traditional paradigms of simulation, which include discrete-event and agent-based modelling. On a separate note the possibility of applying the approach at the junction of these two paradigms, which implying the use of their main advantages: using the discrete-event modeling in the simulation of functioning process where the logistics system is describes as the multi-agent environment.

Research target: Natural Sciences Engineering and Technology
Priority areas: economics management IT and mathematics
Language: Russian
Text on another site
Keywords: имитационное моделированиеmulti-agent systemsдискретно-событийное моделированиеsimulation modellingdigital logistics systemcyber-physical logistics systemdiscrete-event modellingцифровая логистическая системакибер-физическая логистическая системамульти-агентные системы
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