Showing 2,341 - 2,360 results of 9,063 for search 'significant ((((step decrease) OR (((greatest decrease) OR (we decrease))))) OR (mean decrease))', query time: 0.66s Refine Results
  1. 2341

    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). …”
  2. 2342

    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. …”
  3. 2343

    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). …”
  4. 2344

    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). …”
  5. 2345

    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>). …”
  6. 2346
  7. 2347

    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. …”
  8. 2348

    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. …”
  9. 2349

    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. …”
  10. 2350

    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. …”
  11. 2351

    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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  14. 2354
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  16. 2356

    Mortality dataset used in analysis. by Samuel Sendagala (21417164)

    Published 2025
    “…<div><p>Background</p><p>Uganda reported a significant reduction in the mortality rate of children under 5 years of age, from 146/1,000 live births in 2000–42/1,000 live births in 2021. …”
  17. 2357

    Metabolome data of the discovery cohort. by Feng Gao (3548)

    Published 2025
    “…The results showed that compared with HC, five metabolites, including DL-stachydrine, D-(+)-pipecolinic acid, furazolidone, L-arginine and 5α-dihydrotestosterone glucuronide were significantly elevated and one metabolite, prenylcysteine, was significantly decreased in the serum of OC, and that the increase in L-arginine and the decrease in prenylcysteine led to impaired urea cycling and a high risk of developing atherosclerosis, respectively. …”
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  20. 2360

    Tight junction and adhesion proteins in the brain are downregulated during systemic inflammation. by Fionä Caratis (12759506)

    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. …”