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greater decrease » greatest decrease (Expand Search), greater increase (Expand Search), greater disease (Expand Search)
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Showing 561 - 580 results of 9,444 for search 'significant ((((((teer decrease) OR (greater decrease))) OR (we decrease))) OR (mean decrease))', query time: 0.63s Refine Results
  1. 561
    Subject’s characteristics (mean ± SD).

    Subject’s characteristics (mean ± SD). by Magdalena Podczarska-Głowacka (21560120)

    Published 2025
    “…Both groups improved knee strength, but the NHE group showed significantly greater improvements (p ≤ 0.001 for NHE, p ≤ 0.04 for control). …”
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  2. 562
    IFA significantly attenuated capsule-mediated resistance to the binding of C3b and C5b-9 to bacterial surface.

    IFA significantly attenuated capsule-mediated resistance to the binding of C3b and C5b-9 to bacterial surface. by Tingting Wang (123983)

    Published 2025
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  3. 563
    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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  4. 564
    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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  5. 565
    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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  6. 566
    Summary statistics of key variables.

    Summary statistics of key variables. by Saul Estrin (8629173)

    Published 2024
    “…We find that in developing countries, as urban economic density increases, innovation first increases and then begins to decrease beyond a certain point, with the decline being most prominent in the largest cities. …”
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  7. 567
    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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  8. 568
    Blood Pressure and LDL-C During Follow-up.

    Blood Pressure and LDL-C During Follow-up. by Karl Ingard (22582091)

    Published 2025
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  9. 569
    Baseline Characteristics of Included Patients.

    Baseline Characteristics of Included Patients. by Karl Ingard (22582091)

    Published 2025
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  10. 570
    Characteristics of the included studies.

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

    Published 2025
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  11. 571
    Extracted data and used for analysis.

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

    Published 2025
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  12. 572
    Excluded studies with reasons for exclusion.

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

    Published 2025
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  13. 573
    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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  14. 574
    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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  15. 575
    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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  16. 576
    Microhardness of various samples.

    Microhardness of various samples. by Huashen Guan (20454677)

    Published 2024
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  17. 577
    Shot peening process parameters.

    Shot peening process parameters. by Huashen Guan (20454677)

    Published 2024
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  18. 578
    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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  19. 579
    Schematic diagram of pin-disk wear.

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

    Published 2024
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  20. 580
    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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