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July 6, 2026
Ancient Craniiform Brachiopod: A Newly Discovered Species with a Unique Shell Shape and Lifestyle
Scientists from HSE University, MSU, and Tallinn University of Technology have studied a fossil species of ancient brachiopods that lived in a warm sea in what is now northern Estonia more than 445 million years ago. These ancient brachiopods developed a cup-shaped shell with a protective 'cap' that shielded them from overgrowth by other marine organisms. The study has been published in Palaeogeography, Palaeoclimatology, Palaeoecology.
July 2, 2026
Researchers Discover How Spelling Errors Slow Down Reading in Russian
Psycholinguists from the Centre for Language and Brain at HSE University–St Petersburg have shown that words that are frequently misspelled are processed more slowly by readers, even when presented with the correct spelling. The researchers confirmed this effect for the first time using Russian-language materials and found that response speed is most strongly linked to how confidently individuals can distinguish the correct spelling of a word from an incorrect one. The study has been published in The Mental Lexicon.
July 2, 2026
HSE Develops App for Assessing Phonological Processing in Children
Researchers at the HSE Centre for Language and Brain have developed a new digital tool for assessing children's phonological processing skills—the ZARYA (Sound Analysis of the Russian Language) test battery. It is the first standardised application in Russia designed to provide a fast and reliable assessment of children's ability to distinguish speech sounds, retain them in working memory, and perform phonemic analysis. The app runs on Android tablets and smartphones and is available for download from RuStore. Details of the test validation have been published in the Journal of Speech, Language, and Hearing Research.

 

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Автоматизация низкоуровневого моделирования сетей на кристалле

Проблемы разработки перспективных микро- и наноэлектронных систем (МЭС). 2021. № 1. С. 46–50.
Lezhnev E.

The process of designing a network-on-chip communication subsystem is a complex and time-consuming process, the task of which is to select the optimal characteristics in a given range of values. Although low-level modeling is time-consuming compared to high-level, but only this process allows to get the exact characteristics of the network. Comprehensive research, which is used in most models of networks-on-chip, is often redundant, because during one simulation iteration, only one of its parameters is checked. A low-level model is proposed that allows automated modeling of the communication subsystem, as well as the routing algorithm for networks-on-chip. The experiments carried out on the example of the study of circulant topologies, which showed the correctness and usefulness of such a model for various applications.

Research target: Engineering and Technology
Language: Russian
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Keywords: network on chipсеть на кристаллеautomation modelавтоматизация моделированиянизкоуровневое моделированиеlow level model
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