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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.’
August 21, 2026
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.

 

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Synergistics and Collaboration in Supply Chains: An Integrated Conceptual Framework for Simulation Modeling of Supply Chains

Ch. 20. P. 619–647.
Lychkina N. N.

In this research, the author explores the approaches to simulation of supply chains’ strategic development specifically focusing on formation of cooperation strategies between supply chain partners. The objective of this paper is to suggest a conceptual scheme and stratification approaches that enable creation of a model reflecting polysystemic representation of the supply chain. The following base levels of the supply chain representation are considered: object-based, configuration/network-based, process-based, and logistics coordination levels. In the field of supply chains transformation and strategic development there is a strong need in concurrent and aligned usage of different supply chain representations. That defines the approach to building generic supply-chain representation based on composite simulation models. Depending on addressable tasks of supply chain analysis and synthesis, process and system dynamic simulation models of different degrees of detail may be used. Agent-based modeling is used to model interorganizational coordination between supply chain partners.

Language: English
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Keywords: simulationsynergeticsstratification supply chain managementOntologies

In book

Developments in Information & Knowledge Management for Business Applications
Developments in Information & Knowledge Management for Business Applications
Vol. 3. , Springer, Cham, 2022.
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