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Showing 741 - 760 results of 8,902 for search 'significantly ((((largest decrease) OR (mean decrease))) OR (((we decrease) OR (nn decrease))))', query time: 0.52s Refine Results
  1. 741
    Human parasitology infection intensity data.

    Human parasitology infection intensity data. by Roland Proud (11764892)

    Published 2025
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  2. 742
    R(lag-1) values for serial correlation test (limits are 0.28 and -0.28).

    R(lag-1) values for serial correlation test (limits are 0.28 and -0.28). by Asnake Adane (19935018)

    Published 2025
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  3. 743
    Innovative trend analysis of JJA rainfall (1981–2022).

    Innovative trend analysis of JJA rainfall (1981–2022). by Asnake Adane (19935018)

    Published 2025
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  4. 744
    Human parasitology prevalence data.

    Human parasitology prevalence data. by Roland Proud (11764892)

    Published 2025
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  5. 745
    Innovative trend analysis of annual rainfall (1981–2022).

    Innovative trend analysis of annual rainfall (1981–2022). by Asnake Adane (19935018)

    Published 2025
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  6. 746
    Predictors used in the modelling analysis. The ‘Snail count’ model refers to the Generalised Linear Mixed Model (GLMM) used to model snail counts, ‘Prevalence’ refers to the disease prevalence models, ‘Egg count’ refers to the GLMM used to model infection intensity (egg count) in school-aged children (SAC) stools. Some models included a zero-inflation (zi) component to account for excess zeros. A single tick (✓) indicates that the predictor was included in the main (conditional) component of the model; a double tick (✓✓) indicates inclusion in both the conditional and zero-inflation components.

    Predictors used in the modelling analysis. The ‘Snail count’ model refers to the Generalised Linear Mixed Model (GLMM) used to model snail counts, ‘Prevalence’ refers to the diseas... by Roland Proud (11764892)

    Published 2025
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  7. 747
    Monthly, seasonal and annual distribution of rainfall in Wollo (1981–2022) (shapefile extracted from https://hub.arcgis.com/datasets/esri::world-countries/explore?location=-1.440657,0.000000,3.00).

    Monthly, seasonal and annual distribution of rainfall in Wollo (1981–2022) (shapefile extracted from https://hub.arcgis.com/datasets/esri::world-countries/explore?location=-1.44065... by Asnake Adane (19935018)

    Published 2025
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  8. 748
    Innovative trend analysis of SON rainfall (1981–2022).

    Innovative trend analysis of SON rainfall (1981–2022). by Asnake Adane (19935018)

    Published 2025
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  9. 749
    Coefficient of variation (CV) seasonal rainfall in Wollo (1981–2022) (shapefile extracted from https://hub.arcgis.com/datasets/esri::world-countries/explore?location=-1.440657,0.000000,3.00).

    Coefficient of variation (CV) seasonal rainfall in Wollo (1981–2022) (shapefile extracted from https://hub.arcgis.com/datasets/esri::world-countries/explore?location=-1.440657,0.00... by Asnake Adane (19935018)

    Published 2025
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  10. 750
    Innovative trend analysis of DJF rainfall (1981–2022).

    Innovative trend analysis of DJF rainfall (1981–2022). by Asnake Adane (19935018)

    Published 2025
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  11. 751
    Annual standardized rainfall anomaly (1981–2022) (shapefile extracted from https://hub.arcgis.com/datasets/esri::world-countries/explore?location=-1.440657,0.000000,3.00).

    Annual standardized rainfall anomaly (1981–2022) (shapefile extracted from https://hub.arcgis.com/datasets/esri::world-countries/explore?location=-1.440657,0.000000,3.00). by Asnake Adane (19935018)

    Published 2025
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  12. 752
    Illustration of the innovative trend analysis (ITA) method.

    Illustration of the innovative trend analysis (ITA) method. by Asnake Adane (19935018)

    Published 2025
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  13. 753
    Station data and gridded annual rainfall amounts (mm) and their coefficient of variation (% in parenthesis) at selected stations (1981–2022).

    Station data and gridded annual rainfall amounts (mm) and their coefficient of variation (% in parenthesis) at selected stations (1981–2022). by Asnake Adane (19935018)

    Published 2025
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  14. 754
    Maternal central venous pressure.

    Maternal central venous pressure. by Pedro Henrique Salles Brito (10441343)

    Published 2024
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  15. 755
    S1 Data -

    S1 Data - by Asnake Adane (19935018)

    Published 2025
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  16. 756
    Results of the Sen’s slope estimator and MKz test for the monthly, seasonal and annual rainfall at the selected stations.

    Results of the Sen’s slope estimator and MKz test for the monthly, seasonal and annual rainfall at the selected stations. by Asnake Adane (19935018)

    Published 2025
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  17. 757
    Changes in the color parameters of cherry shrimp (<i>N</i>. <i>davidi</i> var. red) in different feed treatment groups<sup>a</sup> over a 56-day period (mean ± SD, <i>n</i> = 20).

    Changes in the color parameters of cherry shrimp (<i>N</i>. <i>davidi</i> var. red) in different feed treatment groups<sup>a</sup> over a 56-day period (mean ± SD, <i>n</i> = 20). by Wei-Wei Hou (3405947)

    Published 2024
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  18. 758
    Certainty of affect predicted by valence and low, medium, and, high trait emotional clarity Predicted certainty of knowing how you feel in a trial, as predicted by the subject’s standardized Clarity score on the Trait Meta-Mood Scale (at −1.5 standard deviations from the mean, the mean, and 1.5 standard deviation above the mean) and their positive and negative valence ratings.

    Certainty of affect predicted by valence and low, medium, and, high trait emotional clarity Predicted certainty of knowing how you feel in a trial, as predicted by the subject’s st... by Anthony G. Vaccaro (5964368)

    Published 2025
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  19. 759
    Changes in growth characteristics (A = shoot fresh weight; B = shoot dry weight; C = root fresh weight; D = root dry weight) of M. stenopetala under drought conditions.

    Changes in growth characteristics (A = shoot fresh weight; B = shoot dry weight; C = root fresh weight; D = root dry weight) of M. stenopetala under drought conditions.... by Nadia Khater (22553166)

    Published 2025
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  20. 760
    Changes in growth characteristics (A = shoot length; B = root length; C = collar diameter; D = number of leaves) of M. stenopetala under drought conditions.

    Changes in growth characteristics (A = shoot length; B = root length; C = collar diameter; D = number of leaves) of M. stenopetala under drought conditions. by Nadia Khater (22553166)

    Published 2025
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