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Showing 561 - 580 results of 4,679 for search 'significant ((((step decrease) OR (((teer decrease) OR (greater decrease))))) OR (mean decrease))', query time: 0.42s Refine Results
  1. 561
    Chromatograms proved the selectivity of the proposed method. Red line: tissue spiked at the LOQ level; green line: blank tissue. Panel A: SIM and SIMA; panel B: LOV and LOVA.

    Chromatograms proved the selectivity of the proposed method. Red line: tissue spiked at the LOQ level; green line: blank tissue. Panel A: SIM and SIMA; panel B: LOV and LOVA. by Ewa Paszkowska (21246702)

    Published 2025
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  2. 562
    Prevalence of the common NCD risk factors by region.

    Prevalence of the common NCD risk factors by region. by Ronald Kusolo (13200268)

    Published 2025
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  3. 563
    Prevalence of the common NCD risk factors by Urbanicity.

    Prevalence of the common NCD risk factors by Urbanicity. by Ronald Kusolo (13200268)

    Published 2025
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  4. 564
    Participant characteristics.

    Participant characteristics. by Ronald Kusolo (13200268)

    Published 2025
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  5. 565
    Estimates of average yearly citations of publications by scholars accused of scientific misconduct by retraction status and time.

    Estimates of average yearly citations of publications by scholars accused of scientific misconduct by retraction status and time. by Giulia Maimone (20833354)

    Published 2025
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  6. 566
    Estimates of the average yearly citations per publication (including all publications) by scholar group, misconduct type, and time.

    Estimates of the average yearly citations per publication (including all publications) by scholar group, misconduct type, and time. by Giulia Maimone (20833354)

    Published 2025
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  7. 567
    Mean plasma concentration-time profiles of paeoniflorin and paeonol comparing low and high repeated doses of MC in DNBS-induced colitis rats.

    Mean plasma concentration-time profiles of paeoniflorin and paeonol comparing low and high repeated doses of MC in DNBS-induced colitis rats. by Jin-Hwa Kim (101817)

    Published 2025
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  8. 568
    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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  9. 569
    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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  10. 570
    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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  11. 571
    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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  12. 572
    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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  13. 573
    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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  14. 574
    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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  15. 575
    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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  16. 576
    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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  17. 577
    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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  18. 578
    Microhardness of various samples.

    Microhardness of various samples. by Huashen Guan (20454677)

    Published 2024
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  19. 579
    Shot peening process parameters.

    Shot peening process parameters. by Huashen Guan (20454677)

    Published 2024
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  20. 580
    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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