Search alternatives:
significantly increased » significant increase (Expand Search)
significant predictive » significant predictors (Expand Search), significant predictor (Expand Search), significant protective (Expand Search)
increased decrease » increased release (Expand Search), increased crash (Expand Search)
predictive errors » prediction errors (Expand Search), prediction error (Expand Search), predictive factors (Expand Search)
significantly increased » significant increase (Expand Search)
significant predictive » significant predictors (Expand Search), significant predictor (Expand Search), significant protective (Expand Search)
increased decrease » increased release (Expand Search), increased crash (Expand Search)
predictive errors » prediction errors (Expand Search), prediction error (Expand Search), predictive factors (Expand Search)
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Tree density decreases with increasing percent disturbance in upper montane forests.
Published 2019“…<p>Description: Tree density (ha<sup>-1</sup>) decreased significantly with increasing percent disturbance in the upper montane forest sites, however; density did not vary significantly with disturbance in the montane sites.…”
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Unstandardized path coefficient (Standard error) of significant paths predicting dietary self-care practice among DM patients in JUMC, 2020.
Published 2022“…<p>Unstandardized path coefficient (Standard error) of significant paths predicting dietary self-care practice among DM patients in JUMC, 2020.…”
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NO error (µgm-³) forecasting for 2019 using NARX.
Published 2025“…This research contributes significantly to the field by advancing methodological approaches in air quality prediction while providing an adaptable model for policymakers and environmental agencies to implement in proactive pollution management strategies. …”
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Error of the predictions with different type of filters.
Published 2020“…<p>(A) Relative error between the predictions of the confirmed case for the next five days, in comparison with the actual confirmed cases for four different types of filters: constant 15 values (red), linear increase (orange), parabolic increase (green), and a filter with three largest last values (blue). …”