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de decrease » we decrease (Expand Search), _ decrease (Expand Search), nn decrease (Expand Search)
ms decrease » _ decrease (Expand Search), nn decrease (Expand Search), use decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
a de » _ de (Expand Search), a d (Expand Search), i de (Expand Search)
Showing 901 - 920 results of 39,818 for search '(( a de decrease ) OR ( 50 ((((ms decrease) OR (a decrease))) OR (mean decrease)) ))', query time: 0.83s Refine Results
  1. 901
    Fig 3 -

    Fig 3 - by Dennis Ochola (11626912)

    Published 2022
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  2. 902
    Sampled locations with banana in 2016.

    Sampled locations with banana in 2016. by Dennis Ochola (11626912)

    Published 2022
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  3. 903
    Classification and regression tree (CART) showing the biophysical factors associated with geographic shift in banana at national level.

    Classification and regression tree (CART) showing the biophysical factors associated with geographic shift in banana at national level. by Dennis Ochola (11626912)

    Published 2022
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  4. 904
    Scanned map of historical locations with banana in 1958.

    Scanned map of historical locations with banana in 1958. by Dennis Ochola (11626912)

    Published 2022
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  5. 905
    Fig 6 -

    Fig 6 - by Dennis Ochola (11626912)

    Published 2022
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  6. 906
    Fig 9 -

    Fig 9 - by Dennis Ochola (11626912)

    Published 2022
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  7. 907
    Fig 7 -

    Fig 7 - by Dennis Ochola (11626912)

    Published 2022
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  8. 908
    SDG decreases p70S6K1 and increases AMPK protein expression in iron treated H9c2 cells.

    SDG decreases p70S6K1 and increases AMPK protein expression in iron treated H9c2 cells. by Stephanie Puukila (568109)

    Published 2015
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  9. 909
    Average nearest neighbour analysis before and after filtering of data points.

    Average nearest neighbour analysis before and after filtering of data points. by Dennis Ochola (11626912)

    Published 2022
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  10. 910
    List of 12 covariates selected subjectively and their underlying reasons for their selection.

    List of 12 covariates selected subjectively and their underlying reasons for their selection. by Dennis Ochola (11626912)

    Published 2022
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  11. 911
    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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  12. 912
    Fig 4 -

    Fig 4 - by Dennis Ochola (11626912)

    Published 2022
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  13. 913
    Fig 5 -

    Fig 5 - by Dennis Ochola (11626912)

    Published 2022
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  14. 914
    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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  15. 915
    Comparison between logistic regression models of different complexity and structure derived from the 12 covariates chosen using subjective feature selection.

    Comparison between logistic regression models of different complexity and structure derived from the 12 covariates chosen using subjective feature selection. by Dennis Ochola (11626912)

    Published 2022
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  16. 916
    Summary results of the logistic regression model M2-12 including the significant two-way interactions to maximise loglikelihood.

    Summary results of the logistic regression model M2-12 including the significant two-way interactions to maximise loglikelihood. by Dennis Ochola (11626912)

    Published 2022
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  17. 917
    Predicted banana distribution map (2016) using logistic regression model M2-12 fitted using 12 covariates and significant two-way combinations.

    Predicted banana distribution map (2016) using logistic regression model M2-12 fitted using 12 covariates and significant two-way combinations. by Dennis Ochola (11626912)

    Published 2022
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  18. 918
    Geographic shifts of banana in Uganda.

    Geographic shifts of banana in Uganda. by Dennis Ochola (11626912)

    Published 2022
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  19. 919
    Aggregated agroecological zones of Uganda (adapted from Wortmann & Eledu, 1999).

    Aggregated agroecological zones of Uganda (adapted from Wortmann & Eledu, 1999). by Dennis Ochola (11626912)

    Published 2022
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  20. 920
    TBEV infection results in decrease of <i>de novo</i> synthesised 45-47S pre-rRNA.

    TBEV infection results in decrease of <i>de novo</i> synthesised 45-47S pre-rRNA. by Martin Selinger (3195987)

    Published 2019
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