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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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Методология SCOR как основа модели оптимизации затрат и уровня логистического сервиса предприятия

Логистика и управление цепями поставок. 2020. Т. 99. № 4. С. 39–49.
Рыбаков Д. С.

The current state of management practice is characterized by the presence of a demand to improve the efficiency and effectiveness of logistics processes, on the one hand, and an insufficient level of application of one of the main tools for achieving this goal - optimization modeling, on the other. One of the main reasons of this phenomenon is the lack of a universal basis of the proposed optimization models that does not allow them to be applied widely enough in companies with different business process structures. The aim of the research was to develop a universal, based on the SCOR framework, integrated model for optimizing the logistics service of an enterprise. During the research process, the overview of the developed models for logistics service optimization, the analysis of the limitations of the logistics system optimization models, the adaptation of the map of SCOR process metrics have been carried out; the influence diagram of the optimization model components has been developed; the models of cost optimization and logistics service optimization have been combined into a single integrated optimization model; an algorithm for the optimal solution search has been elaborated; the implementation of the model and algorithm as a program for the solution search has been introduced. As a result, the integrated optimization model based on the components of the SCOR model has been developed, combining the cost and service level optimization models, using the outputs of one model as inputs for another when searching for an optimal solution. Building the optimization model on the basis of the SCOR model components provides universal character of its application, taking into account the set of costs, arising in a logistics system, including indirect ones, and the set of metrics of logistics service reflects the links between functional departments, the ability to maintain a level of total costs at the efficiency frontier, achieving the goal of the profit maximization at the same time, provides a link between the tactical and operational levels of decision-making, which together leads to an increase in the reasonableness and quality of management decisions, and creates prerequisites for the overall optimal functioning of an enterprise logistics system.

Research target: Economics and Management
Priority areas: management
Language: Russian
Keywords: метрикилогистические затратылогистический сервиспоказатели эффективностиlogistics costsperformance indicatorslogistics servicemetricsSCOR modelSCOR модельoptimization modelslogistics processesмодели оптимизациилогистические процессы
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