Search alternatives:
significantly improve » significantly improved (Expand Search)
largest decrease » larger decrease (Expand Search), marked decrease (Expand Search)
improve decrease » improve disease (Expand Search), improved urease (Expand Search), improves disease (Expand Search)
linear decrease » linear increase (Expand Search)
significantly improve » significantly improved (Expand Search)
largest decrease » larger decrease (Expand Search), marked decrease (Expand Search)
improve decrease » improve disease (Expand Search), improved urease (Expand Search), improves disease (Expand Search)
linear decrease » linear increase (Expand Search)
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Stratified analysis of the association between urinary cadmium and bone mineral density, by sex.
Published 2025Subjects: -
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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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553
Volitional control frequency and intensity in VH (Kapsner-Smith et al., 2025)
Published 2025“…Group differences were tested with general linear models.</p><p dir="ltr"><b>Results: </b>No significant differences were found between people with and without HVDs on any of the measures. …”
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Theoretical framework.
Published 2025“…For quantitative part, pretested a self-administered five-point Likert scale questionnaire was used and analyzed using SPSS® -version 26. Assumptions of linear multivariate regression were checked and the level of significance determined at a 95% CI and p-value <0.05. …”
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Supplementary file survey questioner annex.
Published 2025“…For quantitative part, pretested a self-administered five-point Likert scale questionnaire was used and analyzed using SPSS® -version 26. Assumptions of linear multivariate regression were checked and the level of significance determined at a 95% CI and p-value <0.05. …”
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Summary statistics of key variables.
Published 2024“…We find that in developing countries, as urban economic density increases, innovation first increases and then begins to decrease beyond a certain point, with the decline being most prominent in the largest cities. …”
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