Showing 481 - 500 results of 16,874 for search '(( 50 ((ppm decrease) OR (a decrease)) ) OR ( 50 ((we decrease) OR (mean decrease)) ))', query time: 0.76s Refine Results
  1. 481
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    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. …”
  3. 483

    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. …”
  4. 484

    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. …”
  5. 485

    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. …”
  6. 486
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  8. 488

    S1 Data - by Jan Willem Koten (17743224)

    Published 2024
    “…The mean connectivity decreased to r = 0.09 (95% CI 0.03–0.16) when test-retest reliability and auto-correlations of single time courses were considered, indicating that less than a quarter of connectivity is detectable. …”
  9. 489

    Connectivity statistics. by Jan Willem Koten (17743224)

    Published 2024
    “…The mean connectivity decreased to r = 0.09 (95% CI 0.03–0.16) when test-retest reliability and auto-correlations of single time courses were considered, indicating that less than a quarter of connectivity is detectable. …”
  10. 490

    DataSheet1_Are the 50 m Race Segments Changed From Heats to Finals at the 2021 European Swimming Championships?.PDF by Raúl Arellano (13036584)

    Published 2022
    “…Specifically, combining men and women, the swimmers had in freestyle a mean coefficient of variation (CV) of ∼0.6%, with a mean range of performance improvement (∆%) of ∆ = ∼0.7%; in breaststroke a mean CV of ∼0.5% and ∆ = −0.2%; in backstroke a mean CV of ∼0.5% and ∆ = −0.6%, and; in butterfly a mean CV of ∼0.7% and ∆ = −0.9%. …”
  11. 491

    DataSheet2_Are the 50 m Race Segments Changed From Heats to Finals at the 2021 European Swimming Championships?.pdf by Raúl Arellano (13036584)

    Published 2022
    “…Specifically, combining men and women, the swimmers had in freestyle a mean coefficient of variation (CV) of ∼0.6%, with a mean range of performance improvement (∆%) of ∆ = ∼0.7%; in breaststroke a mean CV of ∼0.5% and ∆ = −0.2%; in backstroke a mean CV of ∼0.5% and ∆ = −0.6%, and; in butterfly a mean CV of ∼0.7% and ∆ = −0.9%. …”
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    Table1_Familial Hypercholesterolemia: Real-World Data of 1236 Patients Attending a Czech Lipid Clinic. A Retrospective Analysis of Experience in More than 50 years. Part I: Genetic... by Veronika Todorovova (12157917)

    Published 2022
    “…Our data represent retrospective analysis of 50 years of specialised care in our center.</p><p>Patients and Methods: A group of 1236 FH patients (841 women, 395 men; 993 study subjects and 243 relatives; mean age 44.8 ± 16.7 years) included 154 FDB patients followed at the Lipid Clinic of the General University Hospital in Prague since the mid-1960s to the present. …”
  14. 494

    Image1_Familial Hypercholesterolemia: Real-World Data of 1236 Patients Attending a Czech Lipid Clinic. A Retrospective Analysis of Experience in More than 50 years. Part I: Genetic... by Veronika Todorovova (12157917)

    Published 2022
    “…Our data represent retrospective analysis of 50 years of specialised care in our center.</p><p>Patients and Methods: A group of 1236 FH patients (841 women, 395 men; 993 study subjects and 243 relatives; mean age 44.8 ± 16.7 years) included 154 FDB patients followed at the Lipid Clinic of the General University Hospital in Prague since the mid-1960s to the present. …”
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    Fig 3 - by Dennis Ochola (11626912)

    Published 2022
    Subjects:
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    Fig 6 - by Dennis Ochola (11626912)

    Published 2022
    Subjects:
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    Fig 9 - by Dennis Ochola (11626912)

    Published 2022
    Subjects: