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Showing 521 - 540 results of 4,380 for search 'significant ((((greater decrease) OR (((teer decrease) OR (nn decrease))))) OR (mean decrease))', query time: 0.64s Refine Results
  1. 521
    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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  2. 522
    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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  3. 523
    Microhardness of various samples.

    Microhardness of various samples. by Huashen Guan (20454677)

    Published 2024
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  4. 524
    Shot peening process parameters.

    Shot peening process parameters. by Huashen Guan (20454677)

    Published 2024
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  5. 525
    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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  6. 526
    Schematic diagram of pin-disk wear.

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

    Published 2024
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  7. 527
    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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  8. 528
    Parameters of the sliding wear test.

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

    Published 2024
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  9. 529
    Finite element model of shot peening.

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

    Published 2024
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  10. 530
    Chemical compositions of the 25CrNi2MoV steel (wt. %).

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

    Published 2024
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  11. 531
    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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  12. 532
    Average coefficient of friction of various samples.

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

    Published 2024
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  13. 533
    Wear morphology of the UT sample.

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

    Published 2024
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  14. 534
    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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  15. 535
    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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  16. 536
    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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  17. 537
    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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  18. 538
    Surface roughness of various samples.

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

    Published 2024
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  19. 539
    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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  20. 540
    Friction coefficients of various samples: (a) UT, (b) SP1, (c) SP2, and (d) SP3.

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

    Published 2024
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