Search alternatives:
significantly age » significantly larger (Expand Search), significantly change (Expand Search), significantly alter (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
age increased » rate increased (Expand Search), use increased (Expand Search), large increases (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
significantly age » significantly larger (Expand Search), significantly change (Expand Search), significantly alter (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
age increased » rate increased (Expand Search), use increased (Expand Search), large increases (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
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Reduced (owner-animal metadata) XGBoost model on the <i>significant illness</i> binary using the all-owner dataset.
Published 2024“…This shows the increasing true positive and false positive rates, with decrease of the threshold probability for prediction of <i>significant illness</i>. …”
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Statistically significant union pathways refer to the miRNAs with a decreased expression on day 5.
Published 2023“…<p>Statistically significant union pathways refer to the miRNAs with a decreased expression on day 5.…”
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Statistically significant union pathways refer to the miRNAs with a decreased expression on day 1.
Published 2023“…<p>Statistically significant union pathways refer to the miRNAs with a decreased expression on day 1.…”
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Data Sheet 1_Elevated relative humidity significantly decreases cannabinoid concentrations while delaying flowering development in Cannabis sativa L..docx
Published 2025“…Furthermore, high RH significantly suppressed cannabinoid accumulation: cannabidiolic acid (CBD-A), cannabidiol (CBD), and cannabichromenic acid (CBC-A) levels decreased by approximately 4.9-fold, 3.2-fold, and 13-fold, respectively. …”
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Reduced (owner-animal metadata) XGBoost model on the <i>significant illness</i> binary using the primary decision-maker dataset.
Published 2024“…This shows the increasing true positive and false positive rates, with decrease of the threshold probability for prediction of <i>significant illness</i>. …”