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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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Использование практик взаимооценивания в курсе «Академическое письмо» на английском языке

Педагогика и психология образования. 2024. № 2. С. 48–68.
Stognieva O.

The use of peer assessment methods has become an integral component of modern educational technologies, capturing the attention of higher education instructors aiming to optimize the assessment processes and actively engage students in the educational practices. This study, based on the analysis of peer assessment and peer feedback practices in the Academic writing course in the English language, explores their impact on the development of students’ cross-cutting skills and their attitudes toward participating in peer assessment. The article examines various types of tasks, several peer assessment practices, stages, and procedures of the peer assessment and peer feedback. During the experimental training conducted as part of this study in the experimental (n = 42) and control (n = 45) groups, data were obtained on the impact of peer assessment practices on the development of students’ cross-cutting skills, which were analyzed using means, standard deviations and independent samples t-tests to identify overall trends and statistically significant findings. The results obtained indicated that peer assessment can serve as a tool for developing such cross-cutting skills as performance and communication skills. Moreover, the use of peer assessment practices significantly enhanced the quality of students’ written assignments. Students learned how to analyze, evaluate, and provide constructive feedback on their peers’ written and oral tasks, fostering a collaborative atmosphere during peer assessment. The research findings can be valuable for university instructors as a theoretical and practical foundation for developing teaching materials using peer assessment and peer feedback practices.

Research target: Philology and Linguistics
Language: Russian
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Keywords: peer feedbackвзаимооцениваниеpeer assessmentакадемическое письмо на английском языкеacademic writing in Englishвзаимная обратная связь
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