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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 4,684 for search 'significant ((((step decrease) OR (((greater decrease) OR (nn decrease))))) OR (mean decrease))', query time: 0.39s Refine Results
  1. 581
    Mean observed, fitted, and counterfactual energy, saturated fat, sodium, and sugar per capita per day from high-in food and beverage purchases.

    Mean observed, fitted, and counterfactual energy, saturated fat, sodium, and sugar per capita per day from high-in food and beverage purchases. by Lindsey Smith Taillie (3159258)

    Published 2024
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  2. 582
    Mean observed, fitted, and counterfactual energy, saturated fat, sodium, and sugar per capita per day from total food and beverage purchases.

    Mean observed, fitted, and counterfactual energy, saturated fat, sodium, and sugar per capita per day from total food and beverage purchases. by Lindsey Smith Taillie (3159258)

    Published 2024
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  3. 583
    Capabilities expansion scenarios considered. <i><i>g</i></i><sub>GDP</sub> and <i><i>g</i></i><sub>fHE</sub> refer to the growth rate of annual GDP (in constant 2015 US$) and growth rate of fraction of GDP allocated to health (<i><i>f</i></i><sub>HE</sub>) assumed, leading to a yearly expenditure growth per scenario of [(1 + <i><i>g</i></i><sub>GDP</sub>) × (1 + <i><i>g</i></i><sub>fHE</sub>) − 1]. The normalised health expenditure (NHE) associated with each scenario (defined in

    Capabilities expansion scenarios considered. <i><i>g</i></i><sub>GDP</sub> and <i><i>g</i></i><sub>fHE</sub> refer to the growth rate of annual GDP (in constant 2015 US$) and growt... by Margherita Molaro (17803989)

    Published 2025
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  4. 584
    Correlation between protein abundances and R<sub>5-20</sub> z-score among cases at baseline. Protein abundances, normalized to mean 0 and variance 1, are displayed on the y-axis. (<i>TF, Serotransferrin; F2, Prothrombin; CFI, Complement factor I; HPX, Hemopexin; C4A/C4B, Complement C4b; GC, Vitamin D-binding protein; SERPINA7, Thyroxine-binding globulin; CFB, Complement factor B; APOH, Beta-2-glycoprotein 1; NTM, Neurotrimin</i>).

    Correlation between protein abundances and R<sub>5-20</sub> z-score among cases at baseline. Protein abundances, normalized to mean 0 and variance 1, are displayed on the y-axis. (... by Spela Kokelj (8356644)

    Published 2025
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  5. 585
    Effect of the cannabis extracts on the accumulation of scavenger receptors.

    Effect of the cannabis extracts on the accumulation of scavenger receptors. by Bruno Musetti (9527085)

    Published 2024
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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 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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  7. 587
    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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  8. 588
    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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  9. 589
    Microhardness of various samples.

    Microhardness of various samples. by Huashen Guan (20454677)

    Published 2024
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  10. 590
    Shot peening process parameters.

    Shot peening process parameters. by Huashen Guan (20454677)

    Published 2024
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  11. 591
    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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  12. 592
    Schematic diagram of pin-disk wear.

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

    Published 2024
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  13. 593
    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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  14. 594
    Parameters of the sliding wear test.

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

    Published 2024
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  15. 595
    Finite element model of shot peening.

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

    Published 2024
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  16. 596
    Chemical compositions of the 25CrNi2MoV steel (wt. %).

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

    Published 2024
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  17. 597
    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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  18. 598
    Average coefficient of friction of various samples.

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

    Published 2024
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  19. 599
    Wear morphology of the UT sample.

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

    Published 2024
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  20. 600
    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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