Showing 141 - 160 results of 509 for search '(( significant decrease decrease ) OR ( significant ((gap decrease) OR (a decrease)) ))~', query time: 0.34s Refine Results
  1. 141

    SHAP decision plot. by Wentao Yang (205781)

    Published 2025
    “…This study examines the eGDR-frailty link, develops a machine learning predictive model to address this gap, and explores diabetes mellitus (DM) as a mediator, providing new insights for clinical intervention.…”
  2. 142

    LASSO regression visualization plot. by Wentao Yang (205781)

    Published 2025
    “…This study examines the eGDR-frailty link, develops a machine learning predictive model to address this gap, and explores diabetes mellitus (DM) as a mediator, providing new insights for clinical intervention.…”
  3. 143

    SHAP dependence plots. by Wentao Yang (205781)

    Published 2025
    “…This study examines the eGDR-frailty link, develops a machine learning predictive model to address this gap, and explores diabetes mellitus (DM) as a mediator, providing new insights for clinical intervention.…”
  4. 144

    Tertile stratified subgroup analysis. by Wentao Yang (205781)

    Published 2025
    “…This study examines the eGDR-frailty link, develops a machine learning predictive model to address this gap, and explores diabetes mellitus (DM) as a mediator, providing new insights for clinical intervention.…”
  5. 145

    Effect of Molecular Structure on the B3LYP-Computed HOMO–LUMO Gap: A Structure −Property Relationship Using Atomic Signatures by Ahmed Mohamed (628889)

    Published 2025
    “…The use of atomic Signatures as molecular descriptors successfully inferred correlations between different structural motifs and <i>E</i><sub>gap</sub>. The atomic fragments containing π-bonds in various aromatic compounds were found to be the most significant atomic Signatures, explaining nearly 50% of the variance in the data, with regression coefficients that decreased <i>E</i><sub>gap</sub>. …”
  6. 146
  7. 147

    Arrangement of PHC facilities in a woreda NoCs. by Gizachew Tadele Tiruneh (8407686)

    Published 2025
    “…The <i>"Improve Primary Health Care Service Delivery (IPHCSD)"</i> project, implemented by JSI and Amref Health Africa since April 2022, seeks to address these gaps through a Networks of Care (NoCs) approach. …”
  8. 148
  9. 149

    High-Precision Surface Tension Measurements of Sodium, Potassium, and Their Alloys via Du Noüy Ring Tensiometry by Naiyu Qi (21155536)

    Published 2025
    “…A key innovation in this work is the development of the push-in Du Noüy method, which provided significantly higher precision and reliability compared to the traditional pull-out technique, without requiring a correction factor. …”
  10. 150

    Minimal data set. by Ikuo Mikoshiba (9312007)

    Published 2025
    “…Results indicated that both the DFAT and DFAT + bFGF groups exhibited significantly reduced glottic gaps, increased collagen deposition, and decreased TUNEL-positive apoptotic cells compared to controls. …”
  11. 151

    Classes of errors and gaps in BOLD metadata. by Frederik Stein (22146203)

    Published 2025
    “…ASAP was found to be superior to RESL due to RESL’s adherence to the concept of the DNA barcoding gap. Moreover, we found that taxonomic misassignments, inconsistencies in BIN formation, and missing metadata also contribute significantly to unreliable identifications. …”
  12. 152

    Row data. by Xiangyu Wang (341093)

    Published 2025
    “…Moreover, Life Sciences & Medicine students demonstrated a greater tendency toward negative self-perception, low psychological well-being level, and decreased creative self-efficacy, compared to peers in other disciplines.…”
  13. 153

    Univariate linear regression analysis of scales. by Xiangyu Wang (341093)

    Published 2025
    “…Moreover, Life Sciences & Medicine students demonstrated a greater tendency toward negative self-perception, low psychological well-being level, and decreased creative self-efficacy, compared to peers in other disciplines.…”
  14. 154

    Diagnostic criteria for Alcoholic cardiomyopathy. by Fei Yan (128878)

    Published 2025
    “…</p><p><b>Conclusion:</b> In 2021, ACM remained a significant global health burden, particularly affecting middle-aged and elderly populations with distinct demographic disparities. …”
  15. 155

    Advanced experimental investigation of explosive characteristics in premixed syngas/air mixtures using a narrow gap disk burner by Mingzhao Wang (2956800)

    Published 2025
    “…P<sub>max</sub> increases with Φ initially then decreases, reaching a peak value of 308 kPa at Φ = 1.2. …”
  16. 156

    Absolute β convergence results. by Ke Liu (121889)

    Published 2025
    “…Compared with metropolitan agglomerations such as Nanjing, Wuhan, Fuzhou, Changsha-Zhuzhou-Xiangtan, Chongqing, and Chengdu, the Xi’an metropolitan agglomeration had a lower population agglomeration level, with a significant gap. …”
  17. 157

    Conditional β convergence results. by Ke Liu (121889)

    Published 2025
    “…Compared with metropolitan agglomerations such as Nanjing, Wuhan, Fuzhou, Changsha-Zhuzhou-Xiangtan, Chongqing, and Chengdu, the Xi’an metropolitan agglomeration had a lower population agglomeration level, with a significant gap. …”
  18. 158

    Markov transition probability matrix (k = 4). by Ke Liu (121889)

    Published 2025
    “…Compared with metropolitan agglomerations such as Nanjing, Wuhan, Fuzhou, Changsha-Zhuzhou-Xiangtan, Chongqing, and Chengdu, the Xi’an metropolitan agglomeration had a lower population agglomeration level, with a significant gap. …”
  19. 159

    Markov transition probability matrix (k = 4). by Ke Liu (121889)

    Published 2025
    “…Compared with metropolitan agglomerations such as Nanjing, Wuhan, Fuzhou, Changsha-Zhuzhou-Xiangtan, Chongqing, and Chengdu, the Xi’an metropolitan agglomeration had a lower population agglomeration level, with a significant gap. …”
  20. 160

    Regression results. by Ke Liu (121889)

    Published 2025
    “…Compared with metropolitan agglomerations such as Nanjing, Wuhan, Fuzhou, Changsha-Zhuzhou-Xiangtan, Chongqing, and Chengdu, the Xi’an metropolitan agglomeration had a lower population agglomeration level, with a significant gap. …”