Showing 381 - 400 results of 45,133 for search '(( 5 ((ng decrease) OR (we decrease)) ) OR ( 50 ((mean decrease) OR (nn decrease)) ))', query time: 0.86s Refine Results
  1. 381

    Data_Sheet_5_Chemical Similarity of Co-occurring Trees Decreases With Precipitation and Temperature in North American Forests.CSV by Brian E. Sedio (10875330)

    Published 2021
    “…We used untargeted metabolomics methods based on data generated with liquid chromatography-tandem mass spectrometry to identify, classify, and compare 13,480 unique foliar metabolites and to quantify the metabolomic similarity of species in each community with respect to the whole metabolome and each of five broad classes of metabolites. …”
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    Fig 9 - by Dennis Ochola (11626912)

    Published 2022
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    Fig 7 - by Dennis Ochola (11626912)

    Published 2022
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    Fig 4 - by Dennis Ochola (11626912)

    Published 2022
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    Fig 5 - by Dennis Ochola (11626912)

    Published 2022
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    Decreased production of antiviral factors in patients infected with SARS-CoV-2 due to reduced TLR7 expression by Julia Cataldo Lima (22811497)

    Published 2025
    “…</p> <p>To investigate this, we analyzed the expression of interferon-stimulated genes (ISGs) in 48 SARS-CoV-2-infected patients using real-time polymerase chain reaction (RT-qPCR) and assessed toll-like receptor (TLR7) expression in blood cells via flow cytometry.…”
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    Data_Sheet_5_Artesunate Alleviates Paclitaxel-Induced Neuropathic Pain in Mice by Decreasing Metabotropic Glutamate Receptor 5 Activity and Neuroinflammation in Primary Sensory Neu... by Yize Li (471459)

    Published 2022
    “…In conclusion, this study revealed that artesunate alleviates paclitaxel-induced hyperalgesia and spontaneous pain by decreasing DRG mGluR5 expression and neuroinflammation in the mouse model of PINP.…”
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    K-means++ clustering algorithm. by Zhen Zhao (159931)

    Published 2025
    “…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”
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