Search alternatives:
greater decrease » greatest decrease (Expand Search), greater increase (Expand Search), greater disease (Expand Search)
step decrease » sizes decrease (Expand Search), teer decrease (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), nn decrease (Expand Search)
greater decrease » greatest decrease (Expand Search), greater increase (Expand Search), greater disease (Expand Search)
step decrease » sizes decrease (Expand Search), teer decrease (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), nn decrease (Expand Search)
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2701
The raw data for S2 Fig.
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). …”
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2702
Questionnaire description.
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. …”
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2703
The raw data for Fig 6.
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). …”
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2704
The raw data for S4 Fig.
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). …”
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2705
Functional Characterization of a Highly Efficient UDP-Glucosyltransferase CitUGT72AZ4 Involved in the Biosynthesis of Flavonoid Glycosides in Citrus
Published 2025“…Virus-induced gene silencing of <i>CitUGT72AZ4</i> significantly decreased the accumulation of flavonoid 4′-<i>O</i>-glucosides. …”
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2706
The raw data for Fig 5B.
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). …”
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2707
The raw data for Fig 8A.
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). …”
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2708
Establishment of a diabetic rat model.
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>). …”
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2709
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2710
Probability of Cost-Effectiveness Across CET.
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.…”
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2711
Base-case analysis.
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.…”
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2712
Complexity comparison of different models.
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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2713
Dynamic window based median filtering algorithm.
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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2714
Flow of operation of improved KMA.
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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2715
Improved DAE based on LSTM.
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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2716
Autoencoder structure.
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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2717
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2718
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2719
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2720