Search alternatives:
significant prediction » significant reduction (Expand Search), significant predictor (Expand Search), significant predictive (Expand Search)
point decrease » point increase (Expand Search)
significant prediction » significant reduction (Expand Search), significant predictor (Expand Search), significant predictive (Expand Search)
point decrease » point increase (Expand Search)
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Spatial information is significantly decreased in dCA1 and vCA1 in APP/PS1 mice.
Published 2024“…<p>(A) Spiking activity of representative neurons (black points) overlaid with animal trajectories on the virtual track (gray lines). …”
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Chart for applicable amount of fertilizers.
Published 2025“…Multiple soil-parameter measuring sensors are used to identify suitable crop and fertilizer requirements for that land using IoT and machine learning. The ML model-based crop prediction showed 97.35% accuracy utilizing random forest algorithm. …”
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Display of significance test results.
Published 2025“…Analysis of variance (ANOVA) indicates that, across multiple datasets constructed from fabrics with different elasticity grades, the model shows extremely significant differences (p < 0.001) in the metrics of Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and Mean Absolute Percentage Error (MAPE) at each prediction step. …”
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Maximum IFN concentrations are decreased in severe patients.
Published 2025“…<p>Dynamics of IFN in A: a) Mild COVID-19 + cancer patients, b) Mild COVID-19 + immunosuppressed patients, c) mild COVID-19 + reference patients, d) Severe COVID-19 + cancer patients, e) Severe COVID-19 + immunosuppressed patients, f) Severe COVID-19 + reference patients. B) Model predictions of mean values of maximal IFN concentrations in mild and severe virtual patients. …”
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Model comparisons of linear-mixed effect models predicting internalizing and externalizing problems.
Published 2023Subjects: -
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