Showing 781 - 800 results of 29,395 for search '(( a web decrease ) OR ( 50 ((((ms decrease) OR (a decrease))) OR (nn decrease)) ))', query time: 0.80s Refine Results
  1. 781
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    TNFα significantly decreases PRLR immunoreactivity in the outer root sheath of hair follicles. by Ewan A. Langan (405804)

    Published 2013
    “…Results were pooled from same subjects described in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0060819#pone-0060819-g004" target="_blank">Fig 4</a>. …”
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  6. 786

    Heart rate variability in type 2 diabetes mellitus: A systematic review and meta–analysis by Thomas Benichou (5047928)

    Published 2018
    “…Included articles had to report HRV parameters in T2DM patients and healthy controls measured during 24 hours with a Holter–electrocardiogram. Measurements of HRV retieved were: RR–intervals (or Normal to Normal intervals—NN), standard deviation of RR intervals (SDNN), percetange of adjacent NN intervals differing by more than 50 milliseconds (pNN50), square root of the mean squared difference of successive RR intervals (RMSSD), total power, Low Frequency (LF), High Frequency (HF) and LF/HF ratio, as per Task Force recommendations.…”
  7. 787

    Top Genes with Significantly Decreased Transcript Levels at the Site of SSTI<sup>1</sup>. by Rebecca A. Brady (408084)

    Published 2015
    “…<p><sup>1</sup>Top 50 genes with greatest negative change in LFC when comparing infected ears to uninfected ears from challenged mice for each time point represented</p><p><sup>2</sup>Function determined via Entrez (<a href="http://www.ncbi.nlm.nih.gov/" target="_blank">www.ncbi.nlm.nih.gov</a>) or Uniprot (<a href="http://www.uniprot.org/" target="_blank">www.uniprot.org</a>)</p><p><sup>3</sup>LFC = Log Fold Change</p><p>Italicized values indicate transcripts are significantly increased at the indicated time point.…”
  8. 788

    HDM exposure results in increased MIP-2 and decreased IFNα and IL-13. by Jennifer A. Phan (535730)

    Published 2014
    “…HDM exposure increased bronchoalveolar lavage MIP-2 (A), and decreased IFNα (B) and IL13 (C). There was no effect of HDM exposure on BAL protein (D), nor were there any effects of HRV-1B infection alone, or combined effects of HDM exposure and HRV-1B infection on any of these parameters. * indicates a significant difference between groups. …”
  9. 789

    Prolactin receptor immunoreactivity and gene expression is present in corporal skin and decreases during culture. by Ewan A. Langan (405804)

    Published 2013
    “…<p>PRL receptor (PRLR) IR is present in the epidermis of corporal from three female subjects aged 28–63 years (A–C). This IR was present in the basal layer of the epidermis (black arrows) in a cytoplasmic distribution. …”
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    ApoER2 expression increases Aβ production while decreasing Amyloid Precursor Protein (APP) endocytosis: Possible role in the partitioning of APP into lipid rafts and in the regulat... by Rodrigo A Fuentealba (77901)

    Published 2011
    “…<p><b>Copyright information:</b></p><p>Taken from "ApoER2 expression increases Aβ production while decreasing Amyloid Precursor Protein (APP) endocytosis: Possible role in the partitioning of APP into lipid rafts and in the regulation of γ-secretase activity"</p><p>http://www.molecularneurodegeneration.com/content/2/1/14</p><p>Molecular Neurodegeneration 2007;2():14-14.…”
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  15. 795

    Table_4_COVID-19 vaccine uptake, hesitancy and clinical effects on patients with Takayasu’s arteritis: A web-based questionnaire survey from a large cohort.xlsx by Xiufang Kong (3821644)

    Published 2023
    “…Objective<p>This study aimed to investigate the Coronavirus disease 2019 (COVID-19) vaccination rate, reasons for vaccine hesitancy and clinical effects on patients with Takayasu’s arteritis (TAK).</p>Methods<p>A web-based survey was administered to a TAK cohort established by the Department of Rheumatology, Zhongshan Hospital through WeChat in April, 2022. …”
  16. 796

    Comparison between empirical and random food webs: Clustering coefficient and characteristic path length. by Tomás Ignacio Marina (5309588)

    Published 2018
    “…<p>(A) Clustering Coefficient (CC) and (B) Characteristic Path Length (CPL) for empirical and random networks (ordered by decreasing connectance), generated with the same size (S) and number of links (L). …”
  17. 797

    Surface Modification of Bacterial Cellulose Aerogels’ Web-like Skeleton for Oil/Water Separation by Huazheng Sai (1622671)

    Published 2015
    “…Because the surface energy of cellulose nanofibers decreased and the three-dimensional web-like microstructure, which was comprised of ultrathin (20–80 nm) cellulose nanofibers, is maintained during the trimethylsilylation process, the HBCAs have hydrophobic and oleophilic properties (water/air contact angle as high as 146.5°) that endow them with excellent selectivity for oil adsorption from water. …”
  18. 798

    Surface Modification of Bacterial Cellulose Aerogels’ Web-like Skeleton for Oil/Water Separation by Huazheng Sai (1622671)

    Published 2015
    “…Because the surface energy of cellulose nanofibers decreased and the three-dimensional web-like microstructure, which was comprised of ultrathin (20–80 nm) cellulose nanofibers, is maintained during the trimethylsilylation process, the HBCAs have hydrophobic and oleophilic properties (water/air contact angle as high as 146.5°) that endow them with excellent selectivity for oil adsorption from water. …”
  19. 799

    Surface Modification of Bacterial Cellulose Aerogels’ Web-like Skeleton for Oil/Water Separation by Huazheng Sai (1622671)

    Published 2015
    “…Because the surface energy of cellulose nanofibers decreased and the three-dimensional web-like microstructure, which was comprised of ultrathin (20–80 nm) cellulose nanofibers, is maintained during the trimethylsilylation process, the HBCAs have hydrophobic and oleophilic properties (water/air contact angle as high as 146.5°) that endow them with excellent selectivity for oil adsorption from water. …”
  20. 800

    Human Impacts and Climate Change Influence Nestedness and Modularity in Food-Web and Mutualistic Networks by Kazuhiro Takemoto (81253)

    Published 2016
    “…In pollination networks, for instance, nestedness increased and modularity decreased in response to increased human impacts. Modularity in seed-dispersal networks decreased with temperature change (i.e., warming), whereas food web nestedness increased and modularity declined in response to global warming. …”