Showing 1 - 20 results of 83,798 for search '(( significant source based ) OR ( significant ((gap decrease) OR (a decrease)) ))', query time: 1.48s Refine Results
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    Regenerating axons are increased by ATRA and decreased by clodronate. by Valeria De La Rosa-Reyes (6658613)

    Published 2021
    “…<p>(A—E) Confocal images of immunohistochemical staining of growing axons with anti-GAP43 antibody (green), in longitudinal sections of the optic nerve at 2 weeks after axotomy. …”
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    Overexpression of Gαq decreases cell number and cell size. by Dharsan K. Soundarrajan (11632145)

    Published 2021
    “…Overexpression of Gαq in the pouch results in a decrease in total wing area, cell number and cell size. 10 samples were analyzed per condition. …”
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    Syndecan ectodomain fragments decrease endothelial resistance via rho kinase. by Melanie Jannaway (6703577)

    Published 2019
    “…In the presence of RWJ56110, rhS3ED fragments mediated a significant decrease in TER response (n = 3, p<0.0001). …”
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    NgR1 KO mice exhibited an increase in excitatory synapses and a decrease in inhibitory synapses, indicating an imbalance of synaptic transmission. by Jinwei Zhang (462455)

    Published 2025
    “…The inhibitory synaptic density of NgR1 mice showed a significant decrease when compared to WT mice (***P <  0.001). …”
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    Source data - by Desheng Xie (21439869)

    Published 2025
    “…<div><p>Coal fires are a significant environmental and geological threat, causing extensive ecological damage and loss of resources. …”
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    Long COVID prevalence decreases with vaccine uptake in the U.S. by Manlio De Domenico (626037)

    Published 2023
    “…<p>(A) Prevalence in U.S. states and the U.S. exhibits a decreasing trend with respect to vaccine uptake, both in the population vaccinated with at least one dose (top) and two doses (bottom), with the largest gap between 100% vaccinated and 100% unvaccinated scenarios observed in the reference population of adults who had COVID-19. …”
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    Data sources and descriptions. by Qianhong Mao (22305184)

    Published 2025
    “…The urban, urban fringe, and rural areas were firstly identified in 2010 and 2022 using Deep Neural Network (DNN) based on multi-source geographical data. Then, seven typical ESs were assessed using multiple models, and their interactions were examined through correlation analysis, coupling coordination degree model, and a self-organizing feature mapping network approach. …”
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