Showing 10,541 - 10,560 results of 27,058 for search '(( via ((a decrease) OR (linear decrease)) ) OR ( a ((largest decrease) OR (larger decrease)) ))', query time: 0.63s Refine Results
  1. 10541

    Performance of the optimal control solution as a function of <i>ε</i>. by Afroza Shirin (6490526)

    Published 2019
    “…However, the values of Δ and <i>G</i><sup>max</sup> do not further decrease for <i>ε</i> larger than 10 for the ReMF problem (<i>p</i> = 1) and the value of Δ does not further decrease for <i>ε</i> larger than 10<sup>3</sup> for the ReME problem (<i>p</i> = 2). …”
  2. 10542

    Priority classifications of items. by Thiago Serrão-Pinto (17817523)

    Published 2024
    “…The measure of agreement selected for this study was percent agreement defined a priori as ≥75%.</p><p>Results</p><p>A valid, reliable, and feasible checklist was developed. …”
  3. 10543

    Study design overview. by Thiago Serrão-Pinto (17817523)

    Published 2024
    “…The measure of agreement selected for this study was percent agreement defined a priori as ≥75%.</p><p>Results</p><p>A valid, reliable, and feasible checklist was developed. …”
  4. 10544

    Ecotoxicological modelling of cosmetics for aquatic organisms: A QSTR approach by K. Khan (4334833)

    Published 2017
    “…Finally, individual models were applied to predict toxicity for an external set of 596 personal care products having no experimental data for at least one of the endpoints, and the compounds were ranked based on a decreasing order of toxicity using a scaling approach.…”
  5. 10545

    The impact of a breast cancer diagnosis on health-related quality of life. A prospective comparison among middle-aged to elderly women with and without breast cancer by Randi V. Karlsen (2545756)

    Published 2016
    “…</p> <p><b>Results</b> Women with breast cancer reported significantly larger decreases in HQoL from before to after diagnosis than those who remained breast cancer-free (physical component summary, −2.0; 95% CI −2.8; −1.2, mental component summary, −1.5, 95% CI −2.3; −0.6). …”
  6. 10546

    AMPAR-mediated EPSC as a function of the distance from the release site. by Sushmita L. Allam (815541)

    Published 2015
    “…<p>AMPAR-mediated EPSCs to a single pulse. A gradual decrease in EPSC amplitude was observed when the distance between the release site and the receptors increases. …”
  7. 10547

    Auckland Volcanic Field magmatism, volcanism, and hazard: a review by Jenni L. Hopkins (8596704)

    Published 2020
    “…Seismic velocity tomography and geochemistry suggest a primary mantle source region at a depth of 70–90 km. …”
  8. 10548

    Flow chart of data screening and analysis. by Yan She (8639796)

    Published 2025
    “…<div><p>Objective</p><p>This study aimed to investigate the optimal age for developing a model of postmenopausal osteoporosis via bilateral oophorectomy. …”
  9. 10549

    Temporal evolution of duration (A) and smoothness (B) for all groups. by Gloria Cecchini (10810686)

    Published 2021
    “…After the stroke, the robot group shows a significant variation: the duration is longer and the smoothness is lower; in both cases this variation decreases over time. …”
  10. 10550

    Using a DAP to fit an increasing IoD range. by Duncan J. MacGregor (302359)

    Published 2019
    “…<p>Noise or variability in the spike rate is measured using the IoD. The presence of a large AHP results in a decreasing IoD range, where variability is less at larger binwidths [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1007092#pcbi.1007092.ref021" target="_blank">21</a>]. …”
  11. 10551

    Air Dispersion and Bubble Characteristics in a Downflow Flotation Column by Hongzheng Zhu (6211769)

    Published 2019
    “…Compared to the superficial air velocity, the dodecylamine concentration was found to present a larger effect on the Sauter mean diameter but a smaller one on the aeration rate within the studied ranges of the dodecylamine concentration and superficial air velocity.…”
  12. 10552

    Effect of attention on response curves as a function of stimulus intensity. by Thomas Miconi (2149840)

    Published 2016
    “…<p>Top row (A): Similarly to Heeger & Reynolds’ normalization model of attention, response curves become more similar to a response gain or a contrast gain (respectively) when the attentional field is made smaller or larger in comparison to RF size. …”
  13. 10553

    Data Normalization. by Guolian Wu (21464168)

    Published 2025
    “…Protein-protein interaction (PPI) network was constructed, and five candidate hub genes (<i>AURKB, BUB1, CCL2, IL-4</i>, and <i>TOP2A)</i> were identified. Immune cell infiltration analysis gusing the XCell algorithm showed increased levels of Monocytes, neutrophils, and other immune cells in KD, while B cells and T cells were decreased. …”
  14. 10554

    Organize Data. by Guolian Wu (21464168)

    Published 2025
    “…Protein-protein interaction (PPI) network was constructed, and five candidate hub genes (<i>AURKB, BUB1, CCL2, IL-4</i>, and <i>TOP2A)</i> were identified. Immune cell infiltration analysis gusing the XCell algorithm showed increased levels of Monocytes, neutrophils, and other immune cells in KD, while B cells and T cells were decreased. …”
  15. 10555

    PCA. by Guolian Wu (21464168)

    Published 2025
    “…Protein-protein interaction (PPI) network was constructed, and five candidate hub genes (<i>AURKB, BUB1, CCL2, IL-4</i>, and <i>TOP2A)</i> were identified. Immune cell infiltration analysis gusing the XCell algorithm showed increased levels of Monocytes, neutrophils, and other immune cells in KD, while B cells and T cells were decreased. …”
  16. 10556

    Correlation Heatmap. by Guolian Wu (21464168)

    Published 2025
    “…Protein-protein interaction (PPI) network was constructed, and five candidate hub genes (<i>AURKB, BUB1, CCL2, IL-4</i>, and <i>TOP2A)</i> were identified. Immune cell infiltration analysis gusing the XCell algorithm showed increased levels of Monocytes, neutrophils, and other immune cells in KD, while B cells and T cells were decreased. …”
  17. 10557

    Immune Cell Correlation Analysis. by Guolian Wu (21464168)

    Published 2025
    “…Protein-protein interaction (PPI) network was constructed, and five candidate hub genes (<i>AURKB, BUB1, CCL2, IL-4</i>, and <i>TOP2A)</i> were identified. Immune cell infiltration analysis gusing the XCell algorithm showed increased levels of Monocytes, neutrophils, and other immune cells in KD, while B cells and T cells were decreased. …”
  18. 10558

    GO Enrichment Analysis. by Guolian Wu (21464168)

    Published 2025
    “…Protein-protein interaction (PPI) network was constructed, and five candidate hub genes (<i>AURKB, BUB1, CCL2, IL-4</i>, and <i>TOP2A)</i> were identified. Immune cell infiltration analysis gusing the XCell algorithm showed increased levels of Monocytes, neutrophils, and other immune cells in KD, while B cells and T cells were decreased. …”
  19. 10559

    Differential Analysis. by Guolian Wu (21464168)

    Published 2025
    “…Protein-protein interaction (PPI) network was constructed, and five candidate hub genes (<i>AURKB, BUB1, CCL2, IL-4</i>, and <i>TOP2A)</i> were identified. Immune cell infiltration analysis gusing the XCell algorithm showed increased levels of Monocytes, neutrophils, and other immune cells in KD, while B cells and T cells were decreased. …”
  20. 10560

    GO Diagram. by Guolian Wu (21464168)

    Published 2025
    “…Protein-protein interaction (PPI) network was constructed, and five candidate hub genes (<i>AURKB, BUB1, CCL2, IL-4</i>, and <i>TOP2A)</i> were identified. Immune cell infiltration analysis gusing the XCell algorithm showed increased levels of Monocytes, neutrophils, and other immune cells in KD, while B cells and T cells were decreased. …”