Search alternatives:
significant use » significant cause (Expand Search), significant i.e (Expand Search), significantly used (Expand Search)
point decrease » point increase (Expand Search)
use based » rule based (Expand Search), case based (Expand Search), one based (Expand Search)
significant use » significant cause (Expand Search), significant i.e (Expand Search), significantly used (Expand Search)
point decrease » point increase (Expand Search)
use based » rule based (Expand Search), case based (Expand Search), one based (Expand Search)
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101
Rainfall stations used in the area of study.
Published 2023“…The study concluded by predicting a significant rise in temperatures and insignificant increase in rainfall leading to probable decrease in food production. …”
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Column-based Technology for CD9-HPLC Immunoaffinity Isolation of Serum Extracellular Vesicles
Published 2021Subjects: -
105
Effect of HBD type on CO<sub>2</sub> absorption capacity of the ChCl-based DESs + 5% water.
Published 2023Subjects: -
106
Distribution of the amount of physical activity recorded during head-raising movements.
Published 2025Subjects: -
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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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Trends in the amount and proportion of dental materials for restoration in Japan.
Published 2023Subjects: -
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Relationship between the toxicity of organic solvents and their melting point.
Published 2025“…<p>Relationship between the MC<sub><50</sub> after exposure to organic solvents for 1 h and the organic solvent’s melting point. Locomotion speed is used as an endpoint. <i>P</i> and R<sup>2</sup> values are determined based on simple linear regression analysis, and no significant correlation is observed (<i>P</i> = 0.1913).…”
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120
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>. …”