Publications by authors named "I N Potapova"

Purpose: Phonologically complex targets (e.g., [pl-]) are understood to facilitate widespread gains following speech sound intervention, and yet, available research largely features word- clusters.

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This article presents our experience in development an ontological model can be used in clinical decision support systems (CDSS) creating. We have used the largest international biomedical terminological metathesaurus the Unified Medical Language System (UMLS) as the basis of our model. This metathesaurus has been adapted into Russian using an automated hybrid translation system with expert control.

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The emergence of highly infectious pathogens with their potential for triggering global pandemics necessitate the development of effective treatment strategies, including broad-spectrum antiviral therapies to safeguard human health. This study investigates the antiviral activity of emetine, dehydroemetine (DHE), and congeneric compounds against SARS-CoV-2 and HCoV-OC43, and evaluates their impact on the host cell. Concurrently, we assess the potential cardiotoxicity of these ipecac alkaloids.

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Despite the fact that many researchers and teachers reported that distance education can be equated with traditional face-to-face form education, the question of analyzing the quality of knowledge gained in distance education is open. This study was conducted on the basis of the Department of Medical Cybernetics and Informatics named after S.A.

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Purpose: Percent grammatical utterances (PGU) provides clinicians and researchers with meaningful information on young children's grammatical abilities (Eisenberg & Guo, 2016). However, work is still needed to place PGU within the context of conventional language sample measures and understand how PGU reflects grammatical development in bilingual populations. The current study focuses on Spanish-English bilingual preschoolers to examine: 1) change in Spanish and English PGU over one year of preschool English instruction, 2) associations between PGU and other language sample measures within each language and across time, and 3) the types and frequency of error patterns in each language.

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