Showing 561 - 580 results of 101,255 for search '(( 30 point decrease ) OR ( 5 ((((step decrease) OR (nn decrease))) OR (a decrease)) ))', query time: 1.35s Refine Results
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    Behavior of split<sup><50cM</sup> <i>ClvR</i> V2 with linkage. by Georg Oberhofer (3401438)

    Published 2021
    “…<p>Incorporating linkage into split <i>ClvR</i> (split<sup><50cM</sup> <i>ClvR</i> V2) results in a graded increase in drive strength, and duration of <i>Rescue</i>/Cargo/gRNAs at high frequency, as the degree of linkage increases (map distance decreases). …”
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    Table_1_Urban-driven decrease in arthropod richness and diversity associated with group-specific changes in arthropod abundance.DOCX by Marion Chatelain (3317994)

    Published 2023
    “…In the canopy and the bush layer, arthropod richness and diversity decreased with increasing urbanisation level, suggesting that urbanisation acts as a filter on taxonomic groups. …”
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    a-c: Bone marrow (BM) HIF2 α is inappropriately decreased in uremic anemia. by Daniel Landau (440830)

    Published 2018
    “…<p>BM HIF2 α protein (depicted as percentage of actin-corrected concentration) increases in 7 day-bled rats (Fig 2a) Vs control. Contrary to that, BM HIF2 α protein decreases in uremic (4 weeks after 5/6 nephrectomy) rats (Fig. 2b). …”
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    Adaptation to cool temperature decreases basal and stimulated lipolysis and increases <i>de novo</i> lipogenesis and TAG synthesis. by Hiroyuki Mori (512656)

    Published 2021
    “…(<b>H</b>) Quantification of autoradiography for labeled TAG was by ImageJ. <i>n =</i> 5, data are mean ± SD. *<i>p</i> < 0.05. Uncropped western blots are provided in <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3000988#pbio.3000988.s016" target="_blank">S1 Raw Images</a>, and numerical data for all graphs are provided in <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3000988#pbio.3000988.s014" target="_blank">S6 Data</a>. …”
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    Selection of crossing point. by Yanchun Li (248761)

    Published 2025
    “…The simulation results indicate that the improved genetic algorithm reduced the supply load from 0.678 to 0.535, labor costs from 1832 yuan to 1790 yuan, and operational time by approximately 39.5%, from 48 seconds to 29.5 seconds. Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”
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