Showing 2,821 - 2,840 results of 9,629 for search 'significantly ((((((lower decrease) OR (we decrease))) OR (larger decrease))) OR (linear decrease))', query time: 0.62s Refine Results
  1. 2821

    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. …”
  2. 2822

    Flow chart of research object screening. by Wenyao Xie (21567889)

    Published 2025
    “…Estradiol exhibited significant non-linear relationship with ALI (P = 0.027), with multiple inflection points suggesting concentration-dependent effects.…”
  3. 2823

    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. …”
  4. 2824

    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. …”
  5. 2825

    Data file without outliers. by Helena Wallin (6103205)

    Published 2025
    “…At follow-up, the increase in KYN and KYN/TRP was related to a decrease in ExCap in CKD 2–3. After adjusting for GFR, increase in KYN/TRP remained an independent significant predictor of a decline in ExCap in CKD 2–3.…”
  6. 2826
  7. 2827

    Relationships between clay and quartz content, TOC, 2D-NMR solid OM, S<sub>1</sub>, 2D-NMR light oil and fractal dimensions. by Changjun Ji (18285907)

    Published 2024
    “…This results in the formation of larger dissolution pores within the carbonated minerals [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0309346#pone.0309346.ref043" target="_blank">43</a>], leading to a decrease in the fractal dimensions D<sub>1</sub> and D<sub>2</sub>. …”
  8. 2828

    Participants’ Mean Blood Glucose. by Giti Azim (20940548)

    Published 2025
    “…Moreover, multivariate analysis using multiple linear regression indicates the same result; however, the results of marital status and gender are not significant with BG level and results of education levels, salt intake and any type of physical activity are not significant with TC levels. …”
  9. 2829

    Participants’ Mean Total Cholesterol. by Giti Azim (20940548)

    Published 2025
    “…Moreover, multivariate analysis using multiple linear regression indicates the same result; however, the results of marital status and gender are not significant with BG level and results of education levels, salt intake and any type of physical activity are not significant with TC levels. …”
  10. 2830
  11. 2831

    LULC proportion from 2040 to 2060. by Muse Wldmchel (20642444)

    Published 2025
    “…The study highlighted significant land-use changes, with increased agriculture and built-up areas at the expense of forests and pasturelands. …”
  12. 2832

    Global sensitive flow parameters [84]. by Muse Wldmchel (20642444)

    Published 2025
    “…The study highlighted significant land-use changes, with increased agriculture and built-up areas at the expense of forests and pasturelands. …”
  13. 2833

    Gene expression omnibus datasets. by Xinyi Xia (7516694)

    Published 2024
    “…<div><p>Although the link between ischemia-reperfusion injury (IRI) and T cell-mediated rejection (TCMR) in kidney transplantation (KT) is well known, the mechanism remains unclear. We investigated essential genes and biological processes involved in interactions between IRI and TCMR. …”
  14. 2834

    Calycosin Inhibit PANoptosis and Alleviate Brain Damage: A Bioinformatics and Experimental Verification Approach by Huiyan An (20959966)

    Published 2025
    “…Numerous studies have highlighted the significance of PANoptosis in brain ischemia–reperfusion (I/R) injury. …”
  15. 2835

    Basic characteristics of the afforested land. by Yao Zhong (280645)

    Published 2025
    “…The results revealed that land use significantly altered the distribution of carbon fractions. …”
  16. 2836
  17. 2837
  18. 2838

    Mice in the NTC and MBC-005 treatment groups were evaluated for bioluminescent signaling at 6-, 13-, and 21-days after tumor inoculation. by Bryan S. Margulies (21492667)

    Published 2025
    “…<p>(A) Malthusian non-linear regression analysis demonstrated that the whole-body bioluminescent signal was significantly different between the different treatment groups (p < 0.0001). …”
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  20. 2840