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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
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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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Heritability of Functional Literacy: Evidence from a Classical Twin Design

Behavior Genetics. 2026. Vol. 56. No. 4. P. 153–168.
Kolachev N., Kovaleva G.

Functional literacy—the ability to apply reading, mathematical, and scientific knowledge in authentic contexts as operationalized by the PISA framework—is a key predictor of educational attainment, labour-market outcomes, and economic growth. Despite extensive behavioral-genetic research on cognitive ability, the heritability of competency-based literacy measures remains largely unexamined, particularly outside Western populations. The present study addresses this gap by providing the first twin-based heritability estimates for PISA-type functional literacy from Russia. Participants were 114 twin pairs (50 monozygotic [MZ], 64 dizygotic [DZ]; age 14–15) identified within a nationally representative sample of 33,050 eighth-grade students assessed on the Russian Electronic School platform. A bifactor item-response theory model derived scores for a general cognitive ability factor and three domain-specific factors (mathematical, reading, and scientific literacy). Classical twin structural-equation modelling decomposed phenotypic variance into additive genetic (A), shared environmental (C), and non-shared environmental (E) components. The AE model provided the best fit across all phenotypes. Heritability estimates were substantial: functional literacy = 0.76 [95% CI: 0.67–0.85], mathematical literacy = 0.72 [0.59–0.84], reading literacy = 0.69 [0.56–0.82], and scientific literacy = 0.71 [0.59–0.82]. Shared environmental contributions were negligible and non-significant in all models. The twin sample was broadly representative of the source population, with only small mean differences in functional and mathematical literacy. These findings extend the behavioral-genetic architecture of cognitive ability to competency-based assessments and demonstrate its robustness in a non-Western educational context. Limitations include modest sample size, photo-based zygosity assignment, and absence of molecular genetic data.

Research target: Psychology Education
Language: English
DOI
Keywords: intelligencereading literacytwin studyscientific literacy functional literacymathematical literacy
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