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News
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.
July 1, 2026
Scientists Discover Why Europium 'Misbehaves'
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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Экспертно-статистический байесовский подход к сценарному политическому прогнозированию

Полис. Политические исследования. 2012. № 4. С. 74–98.
Благовещенский Ю. Н., Krechetova M. Y., Satarov G. A.
Priority areas: humanitarian
Language: Russian
Full text
Keywords: байесовский подход
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The paper presents a vector autoregression-based approach to evaluation of fiscal measures. Using both structural and bayesian VAR models, we estimate fiscal multipliers of overall government expenditure and its components: national defense, national economy, education and social policy expenditures. Results are checked for robustness using different lag length and model specifications and different sets of ...
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Установление нормативов водоотведения на основе концепции предельно допустимой концентрации (ПДК) загрязняющих веществ без учета индивидуальных особенностей предприятий приводит, с одной стороны,  к ухудшению экологического состояния водных объектов, а с другой - к  необоснованному повышению расходов на очистку  стоков. Кроме того, как правило, в расчет принимается лишь точечная оценка ПДК по лабораторной выборке без учета погрешности ...
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In the book deals with modern methods and models of socio-economic forecasting, the most frequently used in practice. Essential part of economic decisions aimed at obtaining results in the future, so to make the right management decisions need to be reliable socio-economic forecasting, which is impossible without knowledge of methods and models. In connection with ...
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There are a lot of models of bankruptcies prediction, which differ in methods of modeling and in set of factors. These methods are mainly belong to 5 groups: the classic statistical methods, regression analysis, the method of discriminant analysis, logit-analysis methods, methods of fuzzy sets and neural network methods. Combinations of these methods also can ...
Added: December 2, 2013
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