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Showing 1,901 - 1,920 results of 21,342 for search '(( significant decrease decrease ) OR ( ((significantly i) OR (significantly high)) decrease ))', query time: 0.81s Refine Results
  1. 1901
    (a) Absolute error of the example 3, X(x,y) for scale level ranging from 2 to 7.

    (a) Absolute error of the example 3, X(x,y) for scale level ranging from 2 to 7. by Lahoucine Tadoummant (21647670)

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  2. 1902
    S1 Raw data -

    S1 Raw data - by Dominic Michael Rasp (19959412)

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  3. 1903
    Example of coloration measurement taken in ImageJ for <i>M</i>. <i>mercenaria</i> specimen w48 at the conclusion of the 20.5-week experiment.

    Example of coloration measurement taken in ImageJ for <i>M</i>. <i>mercenaria</i> specimen w48 at the conclusion of the 20.5-week experiment. by Teagan McMahon (20108036)

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  4. 1904
    The mean unfed body weight of uninfected <i>Rhodnius prolixus</i> at different developmental stages and ambient temperatures.

    The mean unfed body weight of uninfected <i>Rhodnius prolixus</i> at different developmental stages and ambient temperatures. by Henri Loshouarn (17896676)

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  5. 1905
    Coefficient plot of long-run effects.

    Coefficient plot of long-run effects. by Ryan P. Thombs (9138968)

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  6. 1906
    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)

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  7. 1907
    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)

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  8. 1908
    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)

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  9. 1909
    Distribution and density of 12,954 high-quality SNPs across the 21 bread wheat chromosomes.

    Distribution and density of 12,954 high-quality SNPs across the 21 bread wheat chromosomes. by Fatima Henkrar (17346528)

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  10. 1910
    AAPC of ASMR and age-standardized DALYs for cardiovascular diseases attributable to secondhand smoke in countries with increasing trends.

    AAPC of ASMR and age-standardized DALYs for cardiovascular diseases attributable to secondhand smoke in countries with increasing trends. by Juan Dong (342384)

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  11. 1911
    ASMR and age-standardized DALYs for cardiovascular diseases attributable to secondhand smoke, 1990–2019.

    ASMR and age-standardized DALYs for cardiovascular diseases attributable to secondhand smoke, 1990–2019. by Juan Dong (342384)

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  12. 1912
    Clinical data of dogs and comparisons among groups. Values are distributed into 4 groups based on the value of the perfusion index (PI). Groups P1, P2, P3, and P4 included measurements matching PI values between 0.23 and 0.79, 0.80 and 1.30, 1.40 and 1.90, and 2.00 and 3.40, respectively. Data are reported as mean ±  standard deviation or median and interquartile range (IQR). Statistical Significance was set for p <  0.05.

    Clinical data of dogs and comparisons among groups. Values are distributed into 4 groups based on the value of the perfusion index (PI). Groups P1, P2, P3, and P4 included measurem... by Francesca Zanusso (18864843)

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  13. 1913
    Average mean decrease Gini across 100 partitions for the top 10 most important variables for binary mixed model and random forest.

    Average mean decrease Gini across 100 partitions for the top 10 most important variables for binary mixed model and random forest. by Helal El-Zaatari (20442243)

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  14. 1914
    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)

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  15. 1915
    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)

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  16. 1916
    Epac activation with 8CPT-AM induced RLC phosphorylation in the perfused hearts.

    Epac activation with 8CPT-AM induced RLC phosphorylation in the perfused hearts. by Yoshiki Ohnuki (576298)

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  17. 1917
    Epac activation increased MYPT phosphorylation via PLC/PKC.

    Epac activation increased MYPT phosphorylation via PLC/PKC. by Yoshiki Ohnuki (576298)

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  18. 1918
    The pooled effect of all-cause mortality rate in non-health care workers and health care workers.

    The pooled effect of all-cause mortality rate in non-health care workers and health care workers. by Zhuoyang Xia (21354186)

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  19. 1919
    The pooled effect of COVID-19 asymptomatic infection rate in non-health care workers and health care workers.

    The pooled effect of COVID-19 asymptomatic infection rate in non-health care workers and health care workers. by Zhuoyang Xia (21354186)

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  20. 1920
    Grade system.

    Grade system. by Zhuoyang Xia (21354186)

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