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News
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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Прогноз результатов олимпиады-2014 в мужском одиночном фигур-ном катании методами искусственного интеллекта

Современные проблемы науки и образования. 2014. № 1.
Yasnitsky L., Внукова О. В., Черепанов Ф. М.

A computer program is designed to predict outcomes in men´s singles figure skating in 2014. Program is based on a neural network trained on the results of the previous world championships. There is a demonstration prototype, which assesses the chances of winning for each of the four possible candidates. The program also allows to evalu-ate the influence of the athlete parameters for their athletic successes, as well as to select the optimal combination of these parameters for each athlete. By examining of the developed mathematical model were derived recom-mendations for the main contenders for victory: E. Plushenko, P. Chan, D. Weier, R. Kevin, to improve their ath-letic performance.

Research target: Mathematics Computer Science
Priority areas: IT and mathematics
Language: Russian
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Keywords: искусственный интеллектнейронная сетьforecastartificial intelligenceчемпионат
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