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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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Трактовка социальной ответственности бизнеса и смежных понятий в российских научных исследованиях

С. 130–137.
Danilova L.

In modern science, there is no single approach to understanding the social responsibility of business (SRB), which necessitates a systematization of interpretations of this concept. The main method of empirical research is multivariate content analysis of 200 Russian scientific publications, in the process 44 definitions of the concept of «social responsibility of business» are highlighted. The result of the analysis of definitions is the formulation of approach to the interpretation of SRB, which is based on 4 semantic categories, within which this concept is considered by Russian researchers: social responsibility as a concept, the nature of social responsibility, its goals and boundaries (in terms of areas covered, stakeholders, ethical issues, etc.). In the paper it was able to identify a group of definitions, together with which Russian publications primarily address the social responsibility of business. The concepts of social investments, social activities, social partnerships, corporate citizenship, corporate charity, social entrepreneurship are rated as the most significant for Russian authors from the point of view of understanding SRB. It is concluded that there is an extremely wide range of interpretations of the social responsibility of business and related concepts, moreover, it was able to make the assumption that the focus of scientific discussion will change in the direction of defining SRB and related terms.

Language: Russian
Full text
Keywords: социальное партнерствосоциальное предпринимательствокорпоративная социальная ответственностьсоциальная деятельностьsocial partnershipсоциальная ответственность бизнесаsocial activitysocial entrepreneurshipкорпоративная благотворительностькорпоративное гражданство corporate social responsibilitycorporate charitysocial responsibility of business

In book

Вестник Нижегородского университета им. Н.И. Лобачевского. Серия: Социальные науки
Вып. 4 (60). , Н. Новгород: Изд-во ННГУ им. Н.И. Лобачевского, 2020.
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