Search alternatives:
lower decrease » larger decrease (Expand Search), linear decrease (Expand Search), teer decrease (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), teer decrease (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), gy decreased (Expand Search)
lower decrease » larger decrease (Expand Search), linear decrease (Expand Search), teer decrease (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), teer decrease (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), gy decreased (Expand Search)
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3561
Detailed characteristics of included studies.
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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3562
Risk of bias assessment of included studies.
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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3563
VO<sub>2peak</sub> results.
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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3564
Pediatric CPP with Praat and ADSV (Joshi et al., 2025)
Published 2025“…Age and <i>F</i>0 are significant predictors of CPP; however, the observed increase in CPP with increasing age in males is primarily due to the substantial decrease in <i>F</i>0 postpuberty. …”
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3565
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3566
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3567
Addressing Imbalanced Classification Problems in Drug Discovery and Development Using Random Forest, Support Vector Machine, AutoGluon-Tabular, and H2O AutoML
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. …”
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3568
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3569
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3570
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3571
Serum metabolomic response to aging.
Published 2024“…<b>(B)</b> Metabolites that decreased with aging. Statistical significance is indicated in the heatmap with asterisks. …”
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3572
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3573
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3574
Tight junction and adhesion proteins in the brain are downregulated during systemic inflammation.
Published 2025“…Expression of the adhesion molecule N-cadherin significantly decreased after 12 hours (12 h: 49% + /- 5% vs. vehicle) and 24 h (3% + /- 1% vs. vehicle) of LPS treatment. …”
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3575
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3576
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3577
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3578
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3579
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3580