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September 4, 2026
‘Hedgehog Versus ‘Relatives: Researchers Measure How the Brain Responds to Unexpected Words During Natural Speech
Russian neurophysiologists, including researchers from HSE University, have demonstrated the feasibility of using event-related fields (ERFs) to study brain activity during natural speech perception. The researchers showed that this approach can be applied not only to individual words but also to continuous speech. Their findings indicate that words whose meanings differ significantly from the preceding context require longer processing times. The study also reveals that the brain processes function words in two stages: first, it identifies their grammatical role and then uses this information to predict the next word. The study has been published in Frontiers in Human Neuroscience.
August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.
August 24, 2026
Researchers Develop Method for Direct Generation of Regulatory DNA
Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’

 

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Имитационное моделирование динамичных цепей поставок

Логистика и управление цепями поставок. 2018. № 6(89) . С. 137–152.
Lychkina N. N.

This article explores the possibilities of modern simulation modeling in the tasks of design and supply chain modeling as systems with structural and dynamic complexity, the study of which should be carried out taking into account multiple risk factors and uncertainties, considering and evaluating the efficiency, dynamism, flexibility and adaptability of the SC based on a variety of indicators used in logistic practice. The use of simulation modeling requires the adaptation of modern managerial techniques and approaches used in logistic practice with the technique of simulation  modeling . Useful management techniques based on the use of simulation techniques in the analysis and modeling of SCs are considered, as well as methods of constructing conceptual models of the SC and analysis of the SC using simulation modeling, iterative simulation and optimization procedures for integrated research and optimization of the SC. A review of the capabilities of various simulation paradigms for analyzing SCs and a review of related scientific literature are also being conducted. It is shown in particular that process simulation modeling is effective for describing the network structure and logistic processes in the SC and is actively used in reengineering projects based on SCOR-recommendations. System-dynamic models of adaptive supply chains allow you to study the complex interaction of material, information and financial flows in the SC, to analyze the stability of the SC, to coordinate the business strategy and logistics strategy of the company. Agent-based simulation modeling makes it possible to describe the behavior, processes of cooperation, coordination and inter-organizational interaction of the participants of the SC and reconfigurable network structures of the SC.
 

Research target: Computer Science Economics and Management
Priority areas: management IT and mathematics business informatics
Language: Russian
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Keywords: имитационное моделированиесистемная динамика system dynamicssimulation modelingагентное моделированиедискретное имитационное моделированиеagent-based simulationdiscrete-event simulation dynamic supply chainsдинамичные цепи поставок
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