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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
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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.’
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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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Evaluating children's websites from an information visualization perspective: findings of a comparative mixed-methods study

Electronic Library. 2021. Vol. 39. No. 6. P. 885–908.
Norouzi Y., Keshavarz H., Jafari Athar Z.

Purpose – This study aims to evaluate the selected children’s websites in terms of information visualization features based on the criteria existing in the related literature and expert scrutiny. Design/methodology/approach – A mixed-methods (qualitative-quantitative) study was conducted with a descriptive-comparative approach. A set of 80 English websites, as well as 24 quality Persian websites, were selected constituting a sample size of 104 websites. A conceptual model was developed from an extensive literature review on information visualization in children’s websites. In the quantitative part, a checklist derived from the conceptual model and based on the heuristic evaluation method was distributed among 20 related experts, the data of which were then analysed through Partial Least Squares using SmartPLS 3.0. Findings – Confirmatory factor analysis showed high-reliability indicators and fit indices in measurement and structural models showing that the conceptual model had the necessary validities among the expert evaluators. Path coefficients showed that layout design and user interface design were the first and last priorities among the dimensions. It was also found that English websites were much more successful than Persian websites in supporting the features of information visualization. Originality/value – The current study has implications for the effective use of standard features related to information visualization in children’s websites usable for designers, media specialists, parents, instructors and librarians, which would also make the children more engaged to better use, learn and interact with the websites.

Research target: Media and Communications
Language: English
Full text
DOI
Keywords: websiteinformation visualization
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