Search alternatives:
largest decrease » larger decrease (Expand Search), marked decrease (Expand Search)
values decrease » values increased (Expand Search)
we decrease » _ decrease (Expand Search), nn decrease (Expand Search), mean decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
largest decrease » larger decrease (Expand Search), marked decrease (Expand Search)
values decrease » values increased (Expand Search)
we decrease » _ decrease (Expand Search), nn decrease (Expand Search), mean decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
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A Locally Linear Dynamic Strategy for Manifold Learning.
Published 2025“…For 10-30% noise, where the Hebbian network employs a local linear transform, learning selectively increases signal direction alignment (blue) while simultaneously decreasing noise direction alignment (orange). …”
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Data Sheet 1_Enhancing spelling competence for English as a foreign language young learners through digital escape rooms.docx
Published 2024“…Fifty-five fourth-grade English as a Foreign Language (EFL) learners navigated through five digital escape rooms where they learned, practiced, and produced target graphemes. …”
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Data Sheet 2_Enhancing spelling competence for English as a foreign language young learners through digital escape rooms.docx
Published 2024“…Fifty-five fourth-grade English as a Foreign Language (EFL) learners navigated through five digital escape rooms where they learned, practiced, and produced target graphemes. …”
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School learning model dispositions data.
Published 2025“…<div><p>The COVID-19 pandemic and associated prevention measures reshaped students’ lives. We estimated the effects of virtual learning during the pandemic on adolescents’ mental health, suicidal thoughts and behaviors, substance use, and violence-related experiences and behaviors. …”
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Subphenotype model flowchart.
Published 2025“…In this exploratory analysis, we identified a cohort of pediatric (age <21) patients with evidence of Long COVID and no pre-existing complex chronic conditions using electronic health record data from 38 institutions and used an unsupervised machine learning-based approach to identify subphenotypes. …”
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Characteristics of Study Sample.
Published 2025“…In this exploratory analysis, we identified a cohort of pediatric (age <21) patients with evidence of Long COVID and no pre-existing complex chronic conditions using electronic health record data from 38 institutions and used an unsupervised machine learning-based approach to identify subphenotypes. …”