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Showing 1,141 - 1,160 results of 102,658 for search '(( 50 ((ms decrease) OR (mean decrease)) ) OR ( 5 ((teer decrease) OR (a decrease)) ))', query time: 1.43s Refine Results
  1. 1141
    Unit cost per test type and per health facility for diagnosis of SARS-CoV-2 by Ag-RDT and RT-PCR.

    Unit cost per test type and per health facility for diagnosis of SARS-CoV-2 by Ag-RDT and RT-PCR. by Nelmo Jordão Manjate (16324619)

    Published 2023
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  2. 1142
    Average value of cost components composing the unit cost (in USD) of SARS-CoV-2 diagnosis per per device type.

    Average value of cost components composing the unit cost (in USD) of SARS-CoV-2 diagnosis per per device type. by Nelmo Jordão Manjate (16324619)

    Published 2023
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  3. 1143
    A37 increases the M1 protein stability and viral pathogenicity of H5N6 virus.

    A37 increases the M1 protein stability and viral pathogenicity of H5N6 virus. by Chenxi Wang (284364)

    Published 2022
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  4. 1144
    Sampled locations with banana in 2016.

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

    Published 2022
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  5. 1145
    Fig 3 -

    Fig 3 - by Dennis Ochola (11626912)

    Published 2022
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  6. 1146
    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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  7. 1147
    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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  8. 1148
    Fig 6 -

    Fig 6 - by Dennis Ochola (11626912)

    Published 2022
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  9. 1149
    Fig 9 -

    Fig 9 - by Dennis Ochola (11626912)

    Published 2022
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  10. 1150
    Fig 7 -

    Fig 7 - by Dennis Ochola (11626912)

    Published 2022
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  11. 1151
    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. 1152
    Fig 4 -

    Fig 4 - by Dennis Ochola (11626912)

    Published 2022
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  13. 1153
    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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  14. 1154
    Geographic shifts of banana in Uganda.

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

    Published 2022
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  15. 1155
    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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  16. 1156
    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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  17. 1157
    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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  18. 1158
    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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  19. 1159
    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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  20. 1160
    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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