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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
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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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Europium is a rare-earth metal responsible for the pure red glow in displays and other luminescent materials. For a long time, however, it refused to emit light when surrounded by certain organic molecules known as acylpyrazolone ligands. Chemists have now uncovered the reason: in europium complexes with these ligands, a 'black window' appears—a charge-transfer state in which the energy absorbed by the ligand is dissipated as heat rather than emitted as light. Understanding this mechanism opens the way to designing more efficient red-emitting materials for displays, fluorescent thermometers, and chemical sensors. The results have been published in Dalton Transactions.

 

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A Multidimensional Model of Cybersocial Trust: Evidence from St. Petersburg, Russia

P. 205–215.
Kabanov Y., Vidiasova L.

Although trust is considered a crucial driver of online human behavior, its conceptualization often poses a challenge to scholars, due to the multidimensional nature of the phenomenon and the variety of online contexts in which trust manifests itself. While many studies have been performed to reveal the dimensions of trust in certain online domains, little has been done to build a holistic model that describes trust relations across the domains. This study aims to address this by building an empirical multifactor model of cybersocial trust. Using data obtained via the public opinion survey in St. Petersburg, Russia, and exploratory factor analysis, we have revealed six key factors of online trust, each reflecting different forms of interactions with people, organizations, or institutions. Implications of this multidimensional model and further steps for research are also discussed.

Language: English
DOI
Text on another site
Keywords: online trust

In book

Electronic Governance and Open Society: Challenges in Eurasia. 7th International Conference, EGOSE 2020, St. Petersburg, Russia, November 18–19, 2020, Proceedings
Cham: Springer, 2020.
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