Showing 481 - 500 results of 60,529 for search '(( 5 we decrease ) OR ( 50 ((((ms decrease) OR (a decrease))) OR (mean decrease)) ))', query time: 1.14s Refine Results
  1. 481

    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. …”
  2. 482

    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. …”
  3. 483

    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. …”
  4. 484

    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. …”
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  10. 490

    A long-term "memory" of HIF induction in response to chronic mild decreased oxygen after oxygen normalization-5 by Chandrashekhar D Kamat (60176)

    Published 2011
    “…<p><b>Copyright information:</b></p><p>Taken from "A long-term "memory" of HIF induction in response to chronic mild decreased oxygen after oxygen normalization"</p><p>BMC Cardiovascular Disorders 2007;7():4-4.…”
  11. 491
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    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).…”
  13. 493
  14. 494

    Advancing the science of NOWS research. by Sarah E. Maylott (14560785)

    Published 2024
    “…<div><p>Every 15 minutes in the US, an infant exposed to opioids is born. Approximately 50% of these newborns will develop Neonatal Opioid Withdrawal Syndrome (NOWS) within 5 days of birth. …”
  15. 495

    Protocol measures. by Sarah E. Maylott (14560785)

    Published 2024
    “…<div><p>Every 15 minutes in the US, an infant exposed to opioids is born. Approximately 50% of these newborns will develop Neonatal Opioid Withdrawal Syndrome (NOWS) within 5 days of birth. …”
  16. 496

    Cry variables. by Sarah E. Maylott (14560785)

    Published 2024
    “…<div><p>Every 15 minutes in the US, an infant exposed to opioids is born. Approximately 50% of these newborns will develop Neonatal Opioid Withdrawal Syndrome (NOWS) within 5 days of birth. …”
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