Showing 101 - 120 results of 68,533 for search '(( 5 ((nn decrease) OR (a decrease)) ) OR ( 50 ((mean decrease) OR (we decrease)) ))', query time: 0.92s Refine Results
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    Alternative bounded and monotonically decreasing functions do not accurately fit the bias in the naïve SI. by Liron Sheintuch (12078310)

    Published 2022
    “…<p>(A-D) Fitting the naïve SI (blue) of simulated data using different types of bounded and monotonically decreasing functions with three free parameters. …”
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    Exposure to low CO<sub>2</sub> levels decreases ER cholesterol levels. by Nityanand Bolshette (17396845)

    Published 2023
    “…<b>(F)</b> qPCR analysis for cholesterogenic genes from NIH3T3 cells exposed to cholesterol (50 μm) or 25-hydroxycholesterol (10 μm) under 5% or 1% CO<sub>2</sub> for 4 h (mean ± SE, <i>n</i> = 3 biological replicates per condition, ***<i>P</i> < 0.001, nonsignificant (ns), two-way ANOVA with Bonferroni’s multiple comparisons test). …”
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    Image 1_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif by Ying Ye (72583)

    Published 2025
    “…</p>Results<p>In total, 15 types of decreased autoantibodies were identified, and 6 of them were constructed into a predictive model for early lung cancer, reaching a sensitivity of 76.19% and a specificity of 55.74%. …”
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    Plot of mean vigor by group and time. by Kunal Desai (18784208)

    Published 2024
    “…The Professional Quality of Life Scale-5 (ProQOL-5) was used to determine Compassion Satisfaction (CS) and risk for Burnout (BO) and secondary traumatic stress (STS). …”
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    Plot of mean Burnout by group and time. by Kunal Desai (18784208)

    Published 2024
    “…The Professional Quality of Life Scale-5 (ProQOL-5) was used to determine Compassion Satisfaction (CS) and risk for Burnout (BO) and secondary traumatic stress (STS). …”
  16. 116

    Image5_Decreasing incidence and mortality of lung cancer in Hungary between 2011 and 2021 revealed by robust estimates reconciling multiple data sources.TIFF by Gabriella Gálffy (177759)

    Published 2024
    “…The COVID-19 pandemic resulted in a statistically significant decrease in lung cancer incidence, especially in the 50–59 age group (both sexes).…”
  17. 117

    S1 File - by Yonghui Zhang (279832)

    Published 2024
    “…Root means square error (RMSE) (mean absolute error (MAE), coefficient of determination (R<sup>2</sup>), and Nash Sutcliffe model efficiency (NSE)) are 15.50 (14.63, 0.96, 0.42), 4.76 (3.92, 0.97, 0.95), 4.69 (3.72, 0.98, 0.95), 3.91 (3.40, 0.99, 0.96) and 12.54 (11.67, 0.95, 0.60), 5.07 (4.61, 0.98, 0.93), 4.97 (4.28, 0.97, 0.94), 4.58 (4.02, 0.98, 0.95) for using one, two, three, and four observed phenological stages in the CSPs estimation. …”
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    Detailed information on field experiments. by Yonghui Zhang (279832)

    Published 2024
    “…Root means square error (RMSE) (mean absolute error (MAE), coefficient of determination (R<sup>2</sup>), and Nash Sutcliffe model efficiency (NSE)) are 15.50 (14.63, 0.96, 0.42), 4.76 (3.92, 0.97, 0.95), 4.69 (3.72, 0.98, 0.95), 3.91 (3.40, 0.99, 0.96) and 12.54 (11.67, 0.95, 0.60), 5.07 (4.61, 0.98, 0.93), 4.97 (4.28, 0.97, 0.94), 4.58 (4.02, 0.98, 0.95) for using one, two, three, and four observed phenological stages in the CSPs estimation. …”
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    List of symbols used in this study. by Yonghui Zhang (279832)

    Published 2024
    “…Root means square error (RMSE) (mean absolute error (MAE), coefficient of determination (R<sup>2</sup>), and Nash Sutcliffe model efficiency (NSE)) are 15.50 (14.63, 0.96, 0.42), 4.76 (3.92, 0.97, 0.95), 4.69 (3.72, 0.98, 0.95), 3.91 (3.40, 0.99, 0.96) and 12.54 (11.67, 0.95, 0.60), 5.07 (4.61, 0.98, 0.93), 4.97 (4.28, 0.97, 0.94), 4.58 (4.02, 0.98, 0.95) for using one, two, three, and four observed phenological stages in the CSPs estimation. …”
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    Data sources for calibration and evaluation. by Yonghui Zhang (279832)

    Published 2024
    “…Root means square error (RMSE) (mean absolute error (MAE), coefficient of determination (R<sup>2</sup>), and Nash Sutcliffe model efficiency (NSE)) are 15.50 (14.63, 0.96, 0.42), 4.76 (3.92, 0.97, 0.95), 4.69 (3.72, 0.98, 0.95), 3.91 (3.40, 0.99, 0.96) and 12.54 (11.67, 0.95, 0.60), 5.07 (4.61, 0.98, 0.93), 4.97 (4.28, 0.97, 0.94), 4.58 (4.02, 0.98, 0.95) for using one, two, three, and four observed phenological stages in the CSPs estimation. …”