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News
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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Логистический контекст бизнес-модели предприятия

Логистика и управление цепями поставок. 2015. № 1. С. 24–34.
Sterligova A.

Multi- and interdisciplinary nature of the supply chain management and modern logistic strategic potential define logistical context of a business model.

Some implications have been made based on the reviewed articles about logistics and business models.  (1) It is evident that authors have little agreement about logistical challenges in business models that can be explained by lack of unity in understanding the business model concept.  (2) Logistics and business models are interrelated. Logistics influences efficiency, results and possibilities of a business model development. Moreover, a business model defines requirements for logistics. (3) Significance of logistics in a business model is determined by the object of logistics which is an aggregate of interrelated material, information and financial flows. The system of material flows ensures management of information flows in the value chain. This in turn is a basis of fair distribution of financial results between supply chain partners.

The author uses a consolidated definition of a business model as an object that deals with assessment, creation, distribution and supply of value to the client, and also with allocation of profit collected thanks to its acknowledgement on the market. The researcher attempts to update logistics as an instrument of developing and applying a business model. It is emphasized that it has an unquestionable primary role in the chain to create, distribute and supply value to the client.

The author suggests and describes the model of a logistics business model and develops a system of indicators to evaluate and analyze logistics in a business model.  The system of indicators can be used to complete two tasks. The first task is to evaluate logistical component of a business model to develop logistical strategy in a company. The second task is to analyze the results of logistical activity in the framework of a business model to understand the rationale to develop a new business model in a company.

Research target: Economics and Management
Priority areas: management
Language: Russian
Full text
Text on another site
Keywords: логистикауправление цепями поставокинтеграцияintegrationlogisticsbusiness modelsбизнес-модельфинансовые потокицепочка создания ценностиsupply chain managementпоказателиKPIKPIvalue chainIndicatorsfinancial flowsmaterials flow optimizationматериальные потоки
Publication based on the results of:
Business model research in emerging markets (2015)
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