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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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Опыт применения сетевого анализа (SNA) в историческом нарративе полисубъектного региона (на примере валлийской хроники Brut y Tywysogyon)

Вестник Томского государственного университета. История. 2026. № 100. С. 112–118.
Loshkareva M. E., Matveeva N.

This research is an endeavor to apply social network analysis (SNA) to the study of a medieval narrative source. The authors suppose that the use of network analysis may offer new possibilities in the study of the history of regions characterized by some political fragmentation. Authors tried to construct networks of historical interactions from 1193 to 1282 based on the data of Welsh chronicle Brut y Tywysogyon. This was the period of the Gwynedd dynasty’s rise.  Princes of Gwynedd pursued a consistent policy aimed at achieving political unity in Wales and institutionalizing relations with the English crown. The nodes of the networks are the Welsh, English and continental characters mentioned by the Chronicle. The connections between the nodes reflect the wars, alliances or other "peaceful" ties mentioned in the Chronicle (marriage, homage, negotiations, etc.). For a study of this kind, it is fundamental to determine the weight of the links, considering the features of the analyzed source. The importance (weight) of ties was considered by the following rationing: war and union – 1, others – 0.5. This normalization is explained by the traditions of the historical narrative of the era.  Visualization of the network allows us to illustrate the changes that occurred in Wales during the 13th century. Wales ceased to be a region focused exclusively on the Celtic world. In the second half of the 13th century, the number of Anglo-Welsh connections increases dramatically. The construction of graphs that reflect such types of relations as “conflicts” and “alliances” reflect a change of the political vector: constant Welsh internecine conflicts are replaced by an explicit Anglo-Welsh confrontation. Traditionally, the English conquest of Wales is explained by the transfer of the attention of British sovereigns from the continent to Britain, and, of course, the political fragmentation of the region and, as an inevitable consequence, military-political vulnerability. At the same time, the construction of networks demonstrates that Wales was conquered as a formally united principality, weakened not so much by the internal confrontation but by the external pressure.

Research target: History and Archeology Other social sciences Computer Science
Language: Russian
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Keywords: сетевой анализсредневековый Уэльсзавоеваниевизуализацияgraph visualizationconquest network analysis medieval chronicle Medieval Walesсредневековая хроника
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