Search alternatives:
significant predictions » significant predictors (Expand Search), significant reductions (Expand Search), significant reduction (Expand Search)
predictions based » prediction based (Expand Search), prediction tasks (Expand Search)
mean decrease » a decrease (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), gy decreased (Expand Search)
significant predictions » significant predictors (Expand Search), significant reductions (Expand Search), significant reduction (Expand Search)
predictions based » prediction based (Expand Search), prediction tasks (Expand Search)
mean decrease » a decrease (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), gy decreased (Expand Search)
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The variables that significantly predicted litter clump weight in shelter cats.
Published 2025“…C) Fewer days in the study predicted greater urine output (p = .034). The black line represents the line of best fit based on the reduced model with marginal means. …”
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Cat Stress Score (CSS) was significantly predicted by intake type and days in the study.
Published 2025“…B) More days in the study predicted lower CSS (<i>p</i> < 0.001). The black line represents the line of best fit based on the reduced model with marginal means. …”
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Association of NPH and premixed insulin and other predicted variables with hypoglycemia.
Published 2022Subjects: -
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Association of NPH and premixed insulin and other predicted variables with glycemic control.
Published 2022Subjects: -
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Trends in the observed total annual rainfall and mean temperature over Taita Taveta (1981–2020).
Published 2023Subjects: -
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Charging station placement optimization based on the location significance prediction
Published 2024“…To address this issue, we introduce a novel approach to optimize the placement of electric vehicle charging stations, integrating a novel location-based charging station significance prediction model with a lion optimization algorithm (LOA) where the significance is defined as the combination of charging energy and the number of sessions. …”
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