Showing 301 - 320 results of 66,744 for search '(( 5 ((we decrease) OR (a decrease)) ) OR ( 50 ((greater decrease) OR (mean decrease)) ))', query time: 1.03s Refine Results
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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. 303

    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. 304

    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. 305

    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. 306

    Numbers of all fractures occurring in men, arranged in order of decreasing mean age, and with proportion of each of the fracture types in patients over 50, 65, and 75 years of age. by Camilla Bergh (9904522)

    Published 2020
    “…<p>Numbers of all fractures occurring in men, arranged in order of decreasing mean age, and with proportion of each of the fracture types in patients over 50, 65, and 75 years of age.…”
  7. 307

    Numbers of all fractures occurring in women, arranged in order of decreasing mean age, and with proportion of each of the fracture types in patients over 50, 65, and 75 years of age. by Camilla Bergh (9904522)

    Published 2020
    “…<p>Numbers of all fractures occurring in women, arranged in order of decreasing mean age, and with proportion of each of the fracture types in patients over 50, 65, and 75 years of age.…”
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  9. 309

    Table_1_v2_A long waiting time from diagnosis to treatment decreases the survival of non-small cell lung cancer patients with stage IA1: A retrospective study.docx by Bin Liu (5899)

    Published 2022
    “…After adjusting for other confounders, the waiting time was identified as an independent prognostic factor.</p>Conclusions<p>A long waiting time before treatment may decrease the survival of stage IA1 NSCLC patients. …”
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    Supplementary Material for: SGLT2 inhibitors decrease overhydration and proteasuria in patients with chronic kidney disease: a longitudinal observational study by Schork A. (17795387)

    Published 2024
    “…At baseline, patients displayed overhydration (OH) with + 0.4 (-0.2 – 2.2) L/1.73m² which decreased by 0.5 (0.1 – 1.2) L/1.73m² after 6 months. …”
  12. 312

    Supplementary Material for: SGLT2 inhibitors decrease overhydration and proteasuria in patients with chronic kidney disease: a longitudinal observational study by Schork A. (17795387)

    Published 2024
    “…At baseline, patients displayed overhydration (OH) with + 0.4 (-0.2 – 2.2) L/1.73m² which decreased by 0.5 (0.1 – 1.2) L/1.73m² after 6 months. …”
  13. 313

    Image_1_Artesunate Alleviates Paclitaxel-Induced Neuropathic Pain in Mice by Decreasing Metabotropic Glutamate Receptor 5 Activity and Neuroinflammation in Primary Sensory Neurons.... by Yize Li (471459)

    Published 2022
    “…We demonstrated artesunate prevented PINP in a dose-dependent manner, while exerting a clear anti-hyperalgesic effect on already existing PINP. …”
  14. 314

    Image2_A Novel Plant Leaf Patch Absorbed With IL-33 Antibody Decreases Venous Neointimal hyperplasia.TIFF by Boao Xie (11621803)

    Published 2021
    “…We hypothesized that plant leaves can absorb therapeutic drug solution and can be used as a patch with drug delivery capability, and plant leaves absorbed with IL-33 antibody can decrease venous neointimal hyperplasia in the rat IVC venoplasty model.…”
  15. 315

    Image1_A Novel Plant Leaf Patch Absorbed With IL-33 Antibody Decreases Venous Neointimal hyperplasia.TIFF by Boao Xie (11621803)

    Published 2021
    “…We hypothesized that plant leaves can absorb therapeutic drug solution and can be used as a patch with drug delivery capability, and plant leaves absorbed with IL-33 antibody can decrease venous neointimal hyperplasia in the rat IVC venoplasty model.…”
  16. 316

    GCase activity is significantly decreased in the brain and liver of the homozygous <i>GBA1</i> D409V KI mouse model at 4, 8, and 12 months of age. by Nicole K. Polinski (10947787)

    Published 2021
    “…In whole brain homogenate (A,C) and liver homogenate (B,D), GCase activity is significantly decreased in the <i>GBA1</i> D409V KI homozygous (HOM) mice as compared to C57Bl/6 wild type (WT) mice (n = 7/group). …”
  17. 317

    Table_1_A phased intervention bundle to decrease the mortality of patients with extracorporeal membrane oxygenation in intensive care unit.pdf by Yajun Jing (11711139)

    Published 2022
    “…In multivariable analysis, even after excluding the confounding factors, such as age, APECHII score, pre-ECMO lactate, and incidence of CRRT during ECMO, the intervention bundle still can decrease the mortality independently, which also remained true in the statistical analysis of V-V and V-A ECMO separately. …”
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