Showing 2,701 - 2,720 results of 9,646 for search 'significant ((((step decrease) OR (((we decrease) OR (greater decrease))))) OR (mean decrease))', query time: 0.47s Refine Results
  1. 2701

    The raw data for S2 Fig. by Hongjoo An (21703199)

    Published 2025
    “…Luciferase assay and human and mouse brain multi-omics data show that, during the differentiation of OL precursor cells (OPCs) into OLs, the enhancer activity of Sox10-E1 does not change while that of Sox10-E2 decreases significantly. Chromatin interaction data indicate that the two <i>Sox10</i> enhancers lie close to the border of the <i>Sox10</i> topologically associating domain (TAD). …”
  2. 2702

    Questionnaire description. by Cristobal Padilla-Fortunatti (21376807)

    Published 2025
    “…<div><p>Background</p><p>During the last decades, intensive care unit (ICU) mortality rates have significantly decreased but this progress has come with unintended consequences for patients and their caregivers. …”
  3. 2703

    The raw data for Fig 6. by Hongjoo An (21703199)

    Published 2025
    “…Luciferase assay and human and mouse brain multi-omics data show that, during the differentiation of OL precursor cells (OPCs) into OLs, the enhancer activity of Sox10-E1 does not change while that of Sox10-E2 decreases significantly. Chromatin interaction data indicate that the two <i>Sox10</i> enhancers lie close to the border of the <i>Sox10</i> topologically associating domain (TAD). …”
  4. 2704

    The raw data for S4 Fig. by Hongjoo An (21703199)

    Published 2025
    “…Luciferase assay and human and mouse brain multi-omics data show that, during the differentiation of OL precursor cells (OPCs) into OLs, the enhancer activity of Sox10-E1 does not change while that of Sox10-E2 decreases significantly. Chromatin interaction data indicate that the two <i>Sox10</i> enhancers lie close to the border of the <i>Sox10</i> topologically associating domain (TAD). …”
  5. 2705

    Functional Characterization of a Highly Efficient UDP-Glucosyltransferase CitUGT72AZ4 Involved in the Biosynthesis of Flavonoid Glycosides in Citrus by Bin Liao (714989)

    Published 2025
    “…Virus-induced gene silencing of <i>CitUGT72AZ4</i> significantly decreased the accumulation of flavonoid 4′-<i>O</i>-glucosides. …”
  6. 2706

    The raw data for Fig 5B. by Hongjoo An (21703199)

    Published 2025
    “…Luciferase assay and human and mouse brain multi-omics data show that, during the differentiation of OL precursor cells (OPCs) into OLs, the enhancer activity of Sox10-E1 does not change while that of Sox10-E2 decreases significantly. Chromatin interaction data indicate that the two <i>Sox10</i> enhancers lie close to the border of the <i>Sox10</i> topologically associating domain (TAD). …”
  7. 2707

    The raw data for Fig 8A. by Hongjoo An (21703199)

    Published 2025
    “…Luciferase assay and human and mouse brain multi-omics data show that, during the differentiation of OL precursor cells (OPCs) into OLs, the enhancer activity of Sox10-E1 does not change while that of Sox10-E2 decreases significantly. Chromatin interaction data indicate that the two <i>Sox10</i> enhancers lie close to the border of the <i>Sox10</i> topologically associating domain (TAD). …”
  8. 2708

    Establishment of a diabetic rat model. by Lan Zeng (638254)

    Published 2025
    “…The abnormal production and release of VEGF promote the proliferation and migration of endothelial cells (ECs), which are critical drivers of retinal neovascularization [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0312791#pone.0312791.ref019" target="_blank">19</a>]. Accordingly, we measured VEGF gene expression and found that it was significantly increased in the retinas of diabetic rats (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0312791#pone.0312791.g003" target="_blank">Fig 3A</a>). …”
  9. 2709
  10. 2710

    Probability of Cost-Effectiveness Across CET. by Yiping An (20609789)

    Published 2025
    “…Scenario analyses conducted over a time horizon extending from 10 to 30 years showed that the ICER decreased significantly with longer follow-up, gradually approaching the 0.51GDP threshold and remaining below the 0.90 GDP threshold throughout the analysis.…”
  11. 2711

    Base-case analysis. by Yiping An (20609789)

    Published 2025
    “…Scenario analyses conducted over a time horizon extending from 10 to 30 years showed that the ICER decreased significantly with longer follow-up, gradually approaching the 0.51GDP threshold and remaining below the 0.90 GDP threshold throughout the analysis.…”
  12. 2712

    Complexity comparison of different models. by Li Yuan (102305)

    Published 2025
    “…Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. The model uses fixed K-mean algorithm for feature classification and optimizes median filtering algorithm using dynamic thresholding. …”
  13. 2713

    Dynamic window based median filtering algorithm. by Li Yuan (102305)

    Published 2025
    “…Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. The model uses fixed K-mean algorithm for feature classification and optimizes median filtering algorithm using dynamic thresholding. …”
  14. 2714

    Flow of operation of improved KMA. by Li Yuan (102305)

    Published 2025
    “…Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. The model uses fixed K-mean algorithm for feature classification and optimizes median filtering algorithm using dynamic thresholding. …”
  15. 2715

    Improved DAE based on LSTM. by Li Yuan (102305)

    Published 2025
    “…Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. The model uses fixed K-mean algorithm for feature classification and optimizes median filtering algorithm using dynamic thresholding. …”
  16. 2716

    Autoencoder structure. by Li Yuan (102305)

    Published 2025
    “…Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. The model uses fixed K-mean algorithm for feature classification and optimizes median filtering algorithm using dynamic thresholding. …”
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