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greater decrease » greatest decrease (Expand Search), greater increase (Expand Search), greater disease (Expand Search)
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Showing 581 - 600 results of 4,823 for search 'significant ((((gap decrease) OR (((greater decrease) OR (nn decrease))))) OR (mean decrease))', query time: 0.53s Refine Results
  1. 581
    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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  2. 582
    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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  3. 583
    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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  4. 584
    Microhardness of various samples.

    Microhardness of various samples. by Huashen Guan (20454677)

    Published 2024
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  5. 585
    Shot peening process parameters.

    Shot peening process parameters. by Huashen Guan (20454677)

    Published 2024
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  6. 586
    Wear morphology: (a) UT, (b) SP1, (c) SP2, and (d) SP3.

    Wear morphology: (a) UT, (b) SP1, (c) SP2, and (d) SP3. by Huashen Guan (20454677)

    Published 2024
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  7. 587
    Schematic diagram of pin-disk wear.

    Schematic diagram of pin-disk wear. by Huashen Guan (20454677)

    Published 2024
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  8. 588
    Surface 3D topography (a) UT, (b) SP1, (c) SP2, (d) SP3.

    Surface 3D topography (a) UT, (b) SP1, (c) SP2, (d) SP3. by Huashen Guan (20454677)

    Published 2024
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  9. 589
    Parameters of the sliding wear test.

    Parameters of the sliding wear test. by Huashen Guan (20454677)

    Published 2024
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  10. 590
    Finite element model of shot peening.

    Finite element model of shot peening. by Huashen Guan (20454677)

    Published 2024
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  11. 591
    Chemical compositions of the 25CrNi2MoV steel (wt. %).

    Chemical compositions of the 25CrNi2MoV steel (wt. %). by Huashen Guan (20454677)

    Published 2024
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  12. 592
    Wear morphology of the SP samples: (a) (b) SP1, (c) (d) SP2, and (e)(f) SP3.

    Wear morphology of the SP samples: (a) (b) SP1, (c) (d) SP2, and (e)(f) SP3. by Huashen Guan (20454677)

    Published 2024
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  13. 593
    Average coefficient of friction of various samples.

    Average coefficient of friction of various samples. by Huashen Guan (20454677)

    Published 2024
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  14. 594
    Wear morphology of the UT sample.

    Wear morphology of the UT sample. by Huashen Guan (20454677)

    Published 2024
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  15. 595
    Residual stress of various samples: (a) surface residual stress and (b) residual stress in the depth direction.

    Residual stress of various samples: (a) surface residual stress and (b) residual stress in the depth direction. by Huashen Guan (20454677)

    Published 2024
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  16. 596
    Surface displacements after shot peening in the finite element model for different projectile diameters: (a) 0.4 mm, (b) 0.6 mm, (c) 0.8 mm, (d) 1.0 mm, and (e) surface roughness PV.

    Surface displacements after shot peening in the finite element model for different projectile diameters: (a) 0.4 mm, (b) 0.6 mm, (c) 0.8 mm, (d) 1.0 mm, and (e) surface roughness P... by Huashen Guan (20454677)

    Published 2024
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  17. 597
    Material parameters of the sample and projectile [21].

    Material parameters of the sample and projectile [21]. by Huashen Guan (20454677)

    Published 2024
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  18. 598
    Residual stress results of the finite element model: (a) comparison between surface residual stress and test values; (b) distribution along the depth direction.

    Residual stress results of the finite element model: (a) comparison between surface residual stress and test values; (b) distribution along the depth direction. by Huashen Guan (20454677)

    Published 2024
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  19. 599
    Surface roughness of various samples.

    Surface roughness of various samples. by Huashen Guan (20454677)

    Published 2024
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  20. 600
    Microstructure of various samples: (a) UT, (b) SP1, (c) SP2, and (d) SP3.

    Microstructure of various samples: (a) UT, (b) SP1, (c) SP2, and (d) SP3. by Huashen Guan (20454677)

    Published 2024
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