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Showing 981 - 1,000 results of 21,342 for search '(( ((significant effect) OR (significant concern)) decrease ) OR ( significant decrease decrease ))', query time: 0.72s Refine Results
  1. 981
    Analysis of FROM dynamics (post epidemic).

    Analysis of FROM dynamics (post epidemic). by Cuicui Liu (1496260)

    Published 2024
    Subjects: “…phenomenon intensified significantly…”
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  2. 982
    Robustness check.

    Robustness check. by Cuicui Liu (1496260)

    Published 2024
    Subjects: “…phenomenon intensified significantly…”
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  3. 983
    Third.

    Third. by Cuicui Liu (1496260)

    Published 2024
    Subjects: “…phenomenon intensified significantly…”
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  4. 984
    Analysis of TO dynamics (in-epidemic).

    Analysis of TO dynamics (in-epidemic). by Cuicui Liu (1496260)

    Published 2024
    Subjects: “…phenomenon intensified significantly…”
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  5. 985
    Analysis of TO dynamics (pre-epidemic).

    Analysis of TO dynamics (pre-epidemic). by Cuicui Liu (1496260)

    Published 2024
    Subjects: “…phenomenon intensified significantly…”
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  6. 986
    Second.

    Second. by Cuicui Liu (1496260)

    Published 2024
    Subjects: “…phenomenon intensified significantly…”
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  7. 987
    Analysis of FROM dynamics (in-epidemic).

    Analysis of FROM dynamics (in-epidemic). by Cuicui Liu (1496260)

    Published 2024
    Subjects: “…phenomenon intensified significantly…”
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  8. 988
    Analysis of TO dynamics (post epidemic).

    Analysis of TO dynamics (post epidemic). by Cuicui Liu (1496260)

    Published 2024
    Subjects: “…phenomenon intensified significantly…”
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  9. 989
    Sample stage division.

    Sample stage division. by Cuicui Liu (1496260)

    Published 2024
    Subjects: “…phenomenon intensified significantly…”
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  10. 990
    First.

    First. by Cuicui Liu (1496260)

    Published 2024
    Subjects: “…phenomenon intensified significantly…”
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  11. 991
    Relative frequency of type I (dark gray) and type II (light gray) errors in 10 000 replicas for each initial condition of the simulation.

    Relative frequency of type I (dark gray) and type II (light gray) errors in 10 000 replicas for each initial condition of the simulation. by Farrokh Habibzadeh (12256529)

    Published 2025
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  12. 992
    The computed weighted sum of type I (dark gray) and type II (light gray) errors (

    The computed weighted sum of type I (dark gray) and type II (light gray) errors ( by Farrokh Habibzadeh (12256529)

    Published 2025
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  13. 993
    Pseudocode of the simulation program (see Supplementary Materials for <i>R</i> codes S1 File).

    Pseudocode of the simulation program (see Supplementary Materials for <i>R</i> codes S1 File). by Farrokh Habibzadeh (12256529)

    Published 2025
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  14. 994
    Effect of Sliding Speed on GRG.

    Effect of Sliding Speed on GRG. by Charles Sarala Rubi (21608723)

    Published 2025
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  15. 995
    Effect of Sliding Distance on GRG.

    Effect of Sliding Distance on GRG. by Charles Sarala Rubi (21608723)

    Published 2025
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  16. 996
    Effect of Reinforcement Percentage on GRG.

    Effect of Reinforcement Percentage on GRG. by Charles Sarala Rubi (21608723)

    Published 2025
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  17. 997
    Generalized estimating equation (GEE) model results on the influence of weekly weather conditions and air quality on weekly visitation to federal parks and protected areas (PPA), including national parks, national monuments, and national forests included in this study. The odds ratio, calculated as exp(Standard Estimate), indicates the magnitude and direction of the predictors’ effect on the response variable (proportional weekly visitation). The visitation effect, calculated as -1*(1-Odds Ratio)*100 indicates the percent change in the response variable when the predictor increases by one unit (for continuous variables) or when the condition is true (for categorical variables). Significant results (p<0.05) in bold. AQI = air quality index; PM 2.5 = particulate matter with a diameter of 2.5 microns.

    Generalized estimating equation (GEE) model results on the influence of weekly weather conditions and air quality on weekly visitation to federal parks and protected areas (PPA), i... by Kira Minehart (21029571)

    Published 2025
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  18. 998
    Generalized estimating equation (GEE) model results on the influence of weekly weather conditions and air quality on weekly visitation to local parks and protected areas (PPA), including city parks, county parks, and regional parks included in this study. The odds ratio, calculated as exp(Standard Estimate), indicates the magnitude and direction of the predictors’ effect on the response variable (proportional weekly visitation). The visitation effect, calculated as -1*(1-Odds Ratio)*100 indicates the percent change in the response variable when the predictor increases by one unit (for continuous variables) or when the condition is true (for categorical variables). Significant results (p<0.05) in bold. AQI = air quality index; PM 2.5 = particulate matter with diameter <2.5 μm.

    Generalized estimating equation (GEE) model results on the influence of weekly weather conditions and air quality on weekly visitation to local parks and protected areas (PPA), inc... by Kira Minehart (21029571)

    Published 2025
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  19. 999
    Generalized estimating equation (GEE) model results on the influence of weekly weather conditions and air quality on weekly visitation to state parks and protected areas (PPA), including state parks and state recreation areas included in this study. The odds ratio, calculated as exp(Standard Estimate), indicates the magnitude and direction of the predictors’ effect on the response variable (proportional weekly visitation). The visitation effect, calculated as -1*(1-Odds Ratio)*100 indicates the percent change in the response variable when the predictor increases by one unit (for continuous variables) or when the condition is true (for categorical variables). Significant results (p<0.05) in bold. AQI = air quality index; PM 2.5 = particulate matter with diameter <2.5 μm.

    Generalized estimating equation (GEE) model results on the influence of weekly weather conditions and air quality on weekly visitation to state parks and protected areas (PPA), inc... by Kira Minehart (21029571)

    Published 2025
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  20. 1000
    Germination speed(A), Germination rate (B), Mean germination Time(MGT) (C), Germination Vigor Index (GVI) (D), and Germination index(GI) (E), of M. stenopetala seeds under the effect of different PEG concentrations.

    Germination speed(A), Germination rate (B), Mean germination Time(MGT) (C), Germination Vigor Index (GVI) (D), and Germination index(GI) (E), of M. stenopetala seeds under the effe... by Nadia Khater (22553166)

    Published 2025
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