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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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Декомпозиция трудности заданий теста читательской грамотности

Вопросы образования. 2023. № 3. С. 92–112.
Ivanova A., Antipkina I.

The current study investigates the question of test difficulty decomposition depending on the characteristics of items (such as: format, belonging to the type of text to which the item belongs) and the reader's actions required to answer it (search for information in the text, simple conclusions, complex conclusions, critical interpretation of the text). The sample of the study consisted of fourth grade elementary school students in Krasnoyarsk, who completed the computerized test of reading literacy "Progress" in the spring of 2022. Research method: psychometric modeling using the LLTM+e model. Research hypothesis: the decomposition of item difficulties will help to prove that the reading actions required to complete the tasks will form a hierarchy of difficulties similar to traditional taxonomies (B. Bloom), that is, reading skills aimed at analyzing, synthesizing, interpreting information will give tasks greater difficulty than simple conclusions, and those, in turn, will make tasks more difficult than the reader's actions to find information in the text. The results show that the assignment of items to the group of reader's actions is a significant factor. The size of the effects does not allow us to speak of a strict hierarchy, but when other attributes are controlled, the tasks for information retrieval in an explicit form are easier for students than the tasks for complex conclusions and for critical understanding of the text.

Research target: Education Psychology
Language: Russian
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Keywords: чтениетестированиеreadingtestingначальная школаelementary schoolLLTMLLTMмоделирование трудности заданий
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