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Subject
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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Математическое моделирование и информатика социальных процессов. Сборник трудов

Вып. 16. M. : -, 2014.
Academic editor: А. П. Михайлов
Editor-in-chief: Shvedovsky V. A.

The articles in this collection are written on the basis of reports made in 2013 at the sociological faculty of Moscow State University M.V. Lomonosova at the annual meeting of the XVI Interdisciplinary Scientific Seminar "Mathematical modeling of social processes" named Hero of Socialist Labor Academician A.A. Samarskogo.

The publication is intended for researchers, teachers, students, universities and research institutes Russian Academy of Sciences with an interest in the development and implementation of the methodology of mathematical modeling for the study of social processes.

Chapters
МОДЕЛИРОВАНИЕ ВЛИЯНИЯ ПРАВИЛА РАСПРЕДЕЛЕНИЯ ОБЩЕСТВЕННОГО РЕСУРСА НА ЭФФЕКТИВНОСТЬ
Akhremenko A. S., Petrov A., В кн.: Математическое моделирование и информатика социальных процессов. Сборник трудовВып. 16.: М.: Экон-Информ, 2014. С. 15–20.
В настоящей работе рассматривается динамическая модель, в центре внимания которой находится влияние на эффективность социально-политической системы со стороны уровня налоговой нагрузки и правила распределения бюджетных средств на инвестиции в инфраструктуру и производственный ресурс ...
Added: October 24, 2014
Research target: Mathematics Political Science, International Relations, and Public Administration Sociology (including Demography and Anthropology
Priority areas: sociology mathematics
Language: Russian
Full text
Keywords: математическое моделированиеинформационные системыsocial processesсоциальные процессыanalytical information systemformal model
Publication based on the results of:
Динамика эффективности государственного сектора: математическая модель и методика эмпирической оценки (2014)
Математическое моделирование и информатика социальных процессов. Сборник трудов
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