Showing 1,401 - 1,420 results of 27,650 for search '(( 50 ((a decrease) OR (mean decrease)) ) OR ( 50 ((nn decrease) OR (we decrease)) ))', query time: 1.14s Refine Results
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    EphA4 immunostaining is decreased adjacent to injury site in ephrin-A5-Fc treated mice. by Yona Goldshmit (205708)

    Published 2011
    “…Arrows indicate lesion site. Scale bars in A–D, G,H, 100 µm; E,F, 50 µm.</p>…”
  3. 1403
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  5. 1405

    Propensity-score matched open aortic group. by Tomi Obafemi (12328433)

    Published 2023
    “…<div><p>Introduction</p><p>Adequate peri-operative care is essential to ensuring a satisfactory outcome in cardiac surgery. In this study, we look at the impact of evidence-based protocols implemented at Stanford Hospital.…”
  6. 1406

    Pre-match CABG/Valve group. by Tomi Obafemi (12328433)

    Published 2023
    “…<div><p>Introduction</p><p>Adequate peri-operative care is essential to ensuring a satisfactory outcome in cardiac surgery. In this study, we look at the impact of evidence-based protocols implemented at Stanford Hospital.…”
  7. 1407

    Propensity-score matched CABG/Valve group. by Tomi Obafemi (12328433)

    Published 2023
    “…<div><p>Introduction</p><p>Adequate peri-operative care is essential to ensuring a satisfactory outcome in cardiac surgery. In this study, we look at the impact of evidence-based protocols implemented at Stanford Hospital.…”
  8. 1408

    Paeameter ranges and optimal values. by Zhen Zhao (159931)

    Published 2025
    “…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”
  9. 1409

    Improved random forest algorithm. by Zhen Zhao (159931)

    Published 2025
    “…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”
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    Datasets used in the study area. by Zhen Zhao (159931)

    Published 2025
    “…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”
  11. 1411

    Evaluation of the improved random forest model. by Zhen Zhao (159931)

    Published 2025
    “…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”
  12. 1412

    Comparison of model metrics. by Zhen Zhao (159931)

    Published 2025
    “…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”
  13. 1413

    Flowchart of population spatialization. by Zhen Zhao (159931)

    Published 2025
    “…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”
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  16. 1416

    Sustaining Control of Schistosomiasis Mansoni in Western Côte d’Ivoire: Results from a SCORE Study, One Year after Initial Praziquantel Administration by Rufin K. Assaré (846780)

    Published 2016
    “…<i>mansoni</i> infection decreased significantly from 19.7% (95% CI: 18.5–20.8%) to 12.8% (95% CI: 11.9–13.8%), while the arithmetic mean <i>S</i>. …”
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  20. 1420

    Hsa_circ_0017639 regulates cisplatin resistance and tumor growth via acting as a miR-1296-5p molecular sponge and modulating sine oculis homeobox 1 expression in non-small cell lun... by Feiyun Chang (12243382)

    Published 2022
    “…The regulation mechanism of circ_0017639 was demonstrated by a dual-luciferase reporter assay. We observed higher levels of circ_0017639 in DDP-resistant NSCLC samples and cells. …”