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Showing 1 - 10 results of 10 for search '(( 1 w decrease ) OR ( 10 ((nn decrease) OR (((a decrease) OR (_ decrease)))) ))~', query time: 0.88s Refine Results
  1. 1
    The G215S mutation decreases packaging of N and growth in primary differentiated human bronchial cells.

    The G215S mutation decreases packaging of N and growth in primary differentiated human bronchial cells. by Hannah C. Kubinski (21213168)

    Published 2025
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  2. 2
    Atomistic Insight into Adsorption, Mobility, and Vibration of Water in Ion-Exchanged Zeolite-like Metal−Organic Frameworks

    Atomistic Insight into Adsorption, Mobility, and Vibration of Water in Ion-Exchanged Zeolite-like Metal−Organic Frameworks by A. Nalaparaju (2109649)

    Published 2009
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  3. 3
    Atomistic Insight into Adsorption, Mobility, and Vibration of Water in Ion-Exchanged Zeolite-like Metal−Organic Frameworks

    Atomistic Insight into Adsorption, Mobility, and Vibration of Water in Ion-Exchanged Zeolite-like Metal−Organic Frameworks by A. Nalaparaju (2109649)

    Published 2009
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  4. 4
    Atomistic Insight into Adsorption, Mobility, and Vibration of Water in Ion-Exchanged Zeolite-like Metal−Organic Frameworks

    Atomistic Insight into Adsorption, Mobility, and Vibration of Water in Ion-Exchanged Zeolite-like Metal−Organic Frameworks by A. Nalaparaju (2109649)

    Published 2009
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  5. 5
    Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 12 covariates chosen using subjective feature selection.

    Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 12 covariates chosen using subjective feature selection. by Dennis Ochola (11626912)

    Published 2022
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  6. 6
    Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 17 covariates selected after recursive feature selection.

    Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 17 covariates selected after recursive feature selection. by Dennis Ochola (11626912)

    Published 2022
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  7. 7
    Supplementary Material for: Demographic Risk Factors of Retinopathy of Prematurity: A Systematic Review of Population-Based Studies

    Supplementary Material for: Demographic Risk Factors of Retinopathy of Prematurity: A Systematic Review of Population-Based Studies by Yu C.W. (10945386)

    Published 2022
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  8. 8
    Data_Sheet_1_Higher Atmospheric CO2 Levels Favor C3 Plants Over C4 Plants in Utilizing Ammonium as a Nitrogen Source.docx

    Data_Sheet_1_Higher Atmospheric CO2 Levels Favor C3 Plants Over C4 Plants in Utilizing Ammonium as a Nitrogen Source.docx by Feng Wang (44414)

    Published 2020
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  9. 9
    Inferring intrinsic noise intensities and reconstructing experimental data via END-nSDE.

    Inferring intrinsic noise intensities and reconstructing experimental data via END-nSDE. by Jiancheng Zhang (181059)

    Published 2025
    “…I. The temporally decoupled squared <i>W</i><sub>2</sub> distance between reconstructed trajectories generated by the trained END-nSDE and groups of experimental trajectories, ordered according to decreasing similarity with the representative ODE trajectory.…”
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  10. 10
    Proportions of components in lagged association rate models among 44 adult mule deer in Saskatchewan, Canada.

    Proportions of components in lagged association rate models among 44 adult mule deer in Saskatchewan, Canada. by María Fernanda Mejía-Salazar (3913192)

    Published 2017
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