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Showing 981 - 1,000 results of 9,427 for search 'significantly ((((((we decrease) OR (linear decrease))) OR (mean decrease))) OR (teer decrease))', query time: 0.49s Refine Results
  1. 981
    Human parasitology infection intensity data.

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

    Published 2025
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  2. 982
    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. 983
    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. 984
    Human parasitology prevalence data.

    Human parasitology prevalence data. by Roland Proud (11764892)

    Published 2025
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  5. 985
    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. 986
    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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  7. 987
    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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  8. 988
    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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  9. 989
    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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  10. 990
    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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  11. 991
    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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  12. 992
    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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  13. 993
    Maternal central venous pressure.

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

    Published 2024
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  14. 994
    S1 Data -

    S1 Data - by Asnake Adane (19935018)

    Published 2025
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  15. 995
    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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  16. 996
    Model-averaged coefficients, significance, and relative importance (RI) of the predictor variables for the GLMMs to evaluate effects on: (A) overall pollinator abundance; (B) fruit production per female tree, (C) seed production per female tree; and (D) seed weight. Farming system refers to ecological vs. conventional practices; CCA1 refers to the first axis of the CCA and depicts the relationship between the % of natural habitats in the landscape and the composition of the pollinator community (increase abundance of wild bees with the increase in natural habitats); Male-to-female ratio and Male-to-female ratio<sup>2</sup> indicate linear and quadratic terms, respectively. Significant <i>p</i>-values are marked in bold. RI was estimated by summing the Akaike weights over all the models where each explanatory variable appeared, and highlights the importance of these variables in the models [75].

    Model-averaged coefficients, significance, and relative importance (RI) of the predictor variables for the GLMMs to evaluate effects on: (A) overall pollinator abundance; (B) fruit... by Carmelo Gómez-Martínez (9384385)

    Published 2025
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  17. 997
    Correlation in site-level DNA methylation estimates between TMS and RRBS data after permutation.

    Correlation in site-level DNA methylation estimates between TMS and RRBS data after permutation. by Amy Longtin (21409957)

    Published 2025
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  18. 998
    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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  19. 999
    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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  20. 1000
    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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