Showing 6,641 - 6,660 results of 18,471 for search 'significantly ((((((less decrease) OR (larger decrease))) OR (mean decrease))) OR (a decrease))', query time: 0.80s Refine Results
  1. 6641

    Proteomics and Metabolomics Analyses Reveal a Dynamic Landscape of Coal Workers’ Pneumoconiosis: An Insight into Disease Progression by Yangyang Wei (436909)

    Published 2025
    “…Integrated analysis found that ABC transporters are a shared pathway among the three groups, and ABCD2 is involved in the ABC transporter pathway. …”
  2. 6642

    Proteomics and Metabolomics Analyses Reveal a Dynamic Landscape of Coal Workers’ Pneumoconiosis: An Insight into Disease Progression by Yangyang Wei (436909)

    Published 2025
    “…Integrated analysis found that ABC transporters are a shared pathway among the three groups, and ABCD2 is involved in the ABC transporter pathway. …”
  3. 6643

    Proteomics and Metabolomics Analyses Reveal a Dynamic Landscape of Coal Workers’ Pneumoconiosis: An Insight into Disease Progression by Yangyang Wei (436909)

    Published 2025
    “…Integrated analysis found that ABC transporters are a shared pathway among the three groups, and ABCD2 is involved in the ABC transporter pathway. …”
  4. 6644

    Proteomics and Metabolomics Analyses Reveal a Dynamic Landscape of Coal Workers’ Pneumoconiosis: An Insight into Disease Progression by Yangyang Wei (436909)

    Published 2025
    “…Integrated analysis found that ABC transporters are a shared pathway among the three groups, and ABCD2 is involved in the ABC transporter pathway. …”
  5. 6645

    Proteomics and Metabolomics Analyses Reveal a Dynamic Landscape of Coal Workers’ Pneumoconiosis: An Insight into Disease Progression by Yangyang Wei (436909)

    Published 2025
    “…Integrated analysis found that ABC transporters are a shared pathway among the three groups, and ABCD2 is involved in the ABC transporter pathway. …”
  6. 6646

    Proteomics and Metabolomics Analyses Reveal a Dynamic Landscape of Coal Workers’ Pneumoconiosis: An Insight into Disease Progression by Yangyang Wei (436909)

    Published 2025
    “…Integrated analysis found that ABC transporters are a shared pathway among the three groups, and ABCD2 is involved in the ABC transporter pathway. …”
  7. 6647

    Proteomics and Metabolomics Analyses Reveal a Dynamic Landscape of Coal Workers’ Pneumoconiosis: An Insight into Disease Progression by Yangyang Wei (436909)

    Published 2025
    “…Integrated analysis found that ABC transporters are a shared pathway among the three groups, and ABCD2 is involved in the ABC transporter pathway. …”
  8. 6648

    Proteomics and Metabolomics Analyses Reveal a Dynamic Landscape of Coal Workers’ Pneumoconiosis: An Insight into Disease Progression by Yangyang Wei (436909)

    Published 2025
    “…Integrated analysis found that ABC transporters are a shared pathway among the three groups, and ABCD2 is involved in the ABC transporter pathway. …”
  9. 6649

    Proteomics and Metabolomics Analyses Reveal a Dynamic Landscape of Coal Workers’ Pneumoconiosis: An Insight into Disease Progression by Yangyang Wei (436909)

    Published 2025
    “…Integrated analysis found that ABC transporters are a shared pathway among the three groups, and ABCD2 is involved in the ABC transporter pathway. …”
  10. 6650
  11. 6651
  12. 6652
  13. 6653
  14. 6654
  15. 6655

    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. …”
  16. 6656
  17. 6657

    Serum metabolomic response to aging. by Gwangho Yoon (5771678)

    Published 2024
    “…<b>(B)</b> Metabolites that decreased with aging. Statistical significance is indicated in the heatmap with asterisks. …”
  18. 6658
  19. 6659

    Various stereological parameters characterizing lung parenchyma and AEII before, during and after alveolarization as well as in adults. by Julia Hüttmann (22656283)

    Published 2025
    “…PLoS One. 2024 Mar 14;19(3):e029. b) The total number of alveolar epithelial cells type II (N(AEII, lung)) shows a significant increase after the end of bulk alveolarization and in adults compared to 3 days old rats. c) During alveolarization the number of AEII per mm<sup>2</sup> alveolar surface (N(AEII, lung)/S(alveoli, lung)) decreases continuously reaching the significant lowest values in adults. d) The number of AEII related to lung volume decreases continuously during alveolarization. …”
  20. 6660

    Average diet diversity from the Shannon Index (top panel) and average energy density (bottom panel) from frequency of occurrence data before and after 2014. by Ana Lucía Pozas-Franco (20858792)

    Published 2025
    “…No significant differences were found between mean energy density values between geographic areas before 2014, but there was a statistically significant decrease in the average energy density in the Gulf of California after 2014.…”