Showing 3,901 - 3,920 results of 11,397 for search 'significantly ((((((lower decrease) OR (we decrease))) OR (linear decrease))) OR (mean decrease))', query time: 0.52s Refine Results
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    S1 File - by Ingmar Lundquist (46422)

    Published 2025
    “…Additionally, the significance of extracellular NO on GSIS was studied. …”
  8. 3908

    Screw location map. by Petr Boháč (20685499)

    Published 2025
    “…<div><p>Background and objective</p><p>The use of bone allograft reconstructions after tumor resection can introduce significant complications. Stable fixation is required to decrease the incidence of mechanical complications of segmental bone allografts. …”
  9. 3909

    The applied forces and moments. by Petr Boháč (20685499)

    Published 2025
    “…<div><p>Background and objective</p><p>The use of bone allograft reconstructions after tumor resection can introduce significant complications. Stable fixation is required to decrease the incidence of mechanical complications of segmental bone allografts. …”
  10. 3910

    The applied forces and moments for the muscles. by Petr Boháč (20685499)

    Published 2025
    “…<div><p>Background and objective</p><p>The use of bone allograft reconstructions after tumor resection can introduce significant complications. Stable fixation is required to decrease the incidence of mechanical complications of segmental bone allografts. …”
  11. 3911

    6MWT results. by Imane Salmam (21485704)

    Published 2025
    “…Additionally, VO₂<sub>peak</sub> was decreased in most studies (7/10), falling below 80% of the predicted value, indicating impaired aerobic capacity. …”
  12. 3912

    Flowchart of selected studies. by Imane Salmam (21485704)

    Published 2025
    “…Additionally, VO₂<sub>peak</sub> was decreased in most studies (7/10), falling below 80% of the predicted value, indicating impaired aerobic capacity. …”
  13. 3913

    Spirometry results. by Imane Salmam (21485704)

    Published 2025
    “…Additionally, VO₂<sub>peak</sub> was decreased in most studies (7/10), falling below 80% of the predicted value, indicating impaired aerobic capacity. …”
  14. 3914

    Detailed characteristics of included studies. by Imane Salmam (21485704)

    Published 2025
    “…Additionally, VO₂<sub>peak</sub> was decreased in most studies (7/10), falling below 80% of the predicted value, indicating impaired aerobic capacity. …”
  15. 3915

    Risk of bias assessment of included studies. by Imane Salmam (21485704)

    Published 2025
    “…Additionally, VO₂<sub>peak</sub> was decreased in most studies (7/10), falling below 80% of the predicted value, indicating impaired aerobic capacity. …”
  16. 3916

    VO<sub>2peak</sub> results. by Imane Salmam (21485704)

    Published 2025
    “…Additionally, VO₂<sub>peak</sub> was decreased in most studies (7/10), falling below 80% of the predicted value, indicating impaired aerobic capacity. …”
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    Trends in spatial beta diversity over time. by Zoë J. Kitchel (21688386)

    Published 2025
    “…A lack of significant trend is shown in blue. The average linear trend across surveys (black line with 95% confidence interval in gray) is also plotted from a linear mixed effect model with a random slope and intercept for survey. …”
  20. 3920

    Addressing Imbalanced Classification Problems in Drug Discovery and Development Using Random Forest, Support Vector Machine, AutoGluon-Tabular, and H2O AutoML by Ayush Garg (21090944)

    Published 2025
    “…The important findings of our studies are as follows: (i) there is no effect of threshold optimization on ranking metrics such as AUC and AUPR, but AUC and AUPR get affected by class-weighting and SMOTTomek; (ii) for ML methods RF and SVM, significant percentage improvement up to 375, 33.33, and 450 over all the data sets can be achieved, respectively, for F1 score, MCC, and balanced accuracy, which are suitable for performance evaluation of imbalanced data sets; (iii) for AutoML libraries AutoGluon-Tabular and H2O AutoML, significant percentage improvement up to 383.33, 37.25, and 533.33 over all the data sets can be achieved, respectively, for F1 score, MCC, and balanced accuracy; (iv) the general pattern of percentage improvement in balanced accuracy is that the percentage improvement increases when the class ratio is systematically decreased from 0.5 to 0.1; in the case of F1 score and MCC, maximum improvement is achieved at the class ratio of 0.3; (v) for both ML and AutoML with balancing, it is observed that any individual class-balancing technique does not outperform all other methods on a significantly higher number of data sets based on F1 score; (vi) the three external balancing techniques combined outperformed the internal balancing methods of the ML and AutoML; (vii) AutoML tools perform as good as the ML models and in some cases perform even better for handling imbalanced classification when applied with imbalance handling techniques. …”