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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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The multidimensional nature of social cohesion: from social support to system justification

Asian Journal of Social Psychology. 2026. Vol. 29. No. 1. Article e70077.
Lavelina D., Prusova I.

Multilevel and Multidimensional Model of Social Cohesion suggests that social cohesion consists of subjective and objective dimensions on micro- (interpersonal trust, social support, density of relationships), meso- (openness, participation), and macro-level (trust and legitimacy of institutions). System Justification Theory (SJT) proposes that trust towards institutions and system-justifying beliefs might be used interchangeably to measure subjective perception of the system at a macro-level. The aim of the study is to indicate the content of the social cohesion macro-level and the specifics of social cohesion structure in Russia. We tested two Composite Models of Social Cohesion that differentiated with subjective foundations of macro-level (i.e., institutional trust (Basic Composite Model; BCMSC) and system justification (Modified Composite Model; MCMSC)) and two Mediational Models with hierarchical structure and the same differences at the macro-level (i.e., Basic Mediational Model (BMMSC) and Modified Mediational Model (MMMSC). 955 Russians completed the questionnaires on interpersonal trust, social support, density of relationships, openness, participation, system justification, institutional trust, and legitimacy of institutions. The results of structural equation modeling showed the adequate model fit for MCMSC and MMMSC. The MCMSC indicated the significant contribution of micro- and macro-levels, whereas in the MMMSC the contributions of three levels were observed.

Research target: Psychology
Language: English
DOI
Keywords: социальный капиталдовериеsocial capitaltrustсоциальная сплоченностьсоциальное участиеcivic participationhierarchical modelиерархическая модель social cohesionоправдание системыsystem justification
Publication based on the results of:
The diversity of forms, effects and barriers to integration of modern Russian society in synchronic and diachronic dimensions (2025)
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