بدائل البحث:
greater decrease » greatest decrease (توسيع البحث), greater increase (توسيع البحث), greater disease (توسيع البحث)
we decrease » _ decrease (توسيع البحث), a decrease (توسيع البحث), teer decrease (توسيع البحث)
nn decrease » _ decrease (توسيع البحث), a decrease (توسيع البحث), gy decreased (توسيع البحث)
يعرض 581 - 600 نتائج من 9,456 نتيجة بحث عن 'significant ((((we decrease) OR (((nn decrease) OR (greater decrease))))) OR (mean decrease))', وقت الاستعلام: 0.67s تنقيح النتائج
  1. 581
    Characteristics of the included studies.

    Characteristics of the included studies. حسب Si He (3236646)

    منشور في 2025
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  2. 582
    Extracted data and used for analysis.

    Extracted data and used for analysis. حسب Si He (3236646)

    منشور في 2025
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  3. 583
    Excluded studies with reasons for exclusion.

    Excluded studies with reasons for exclusion. حسب Si He (3236646)

    منشور في 2025
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  4. 584
    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... حسب Kira Minehart (21029571)

    منشور في 2025
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  5. 585
    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... حسب Kira Minehart (21029571)

    منشور في 2025
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  6. 586
    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... حسب Kira Minehart (21029571)

    منشور في 2025
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  7. 587
    Microhardness of various samples.

    Microhardness of various samples. حسب Huashen Guan (20454677)

    منشور في 2024
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  8. 588
    Shot peening process parameters.

    Shot peening process parameters. حسب Huashen Guan (20454677)

    منشور في 2024
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  9. 589
    Wear morphology: (a) UT, (b) SP1, (c) SP2, and (d) SP3.

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

    منشور في 2024
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  10. 590
    Schematic diagram of pin-disk wear.

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

    منشور في 2024
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  11. 591
    Surface 3D topography (a) UT, (b) SP1, (c) SP2, (d) SP3.

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

    منشور في 2024
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  12. 592
    Parameters of the sliding wear test.

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

    منشور في 2024
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  13. 593
    Finite element model of shot peening.

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

    منشور في 2024
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  14. 594
    Chemical compositions of the 25CrNi2MoV steel (wt. %).

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

    منشور في 2024
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  15. 595
    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. حسب Huashen Guan (20454677)

    منشور في 2024
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  16. 596
    Average coefficient of friction of various samples.

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

    منشور في 2024
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  17. 597
    Wear morphology of the UT sample.

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

    منشور في 2024
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  18. 598
    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. حسب Huashen Guan (20454677)

    منشور في 2024
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  19. 599
    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... حسب Huashen Guan (20454677)

    منشور في 2024
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  20. 600
    Material parameters of the sample and projectile [21].

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

    منشور في 2024
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