Showing 901 - 920 results of 41,617 for search '(( 50 ((a decrease) OR (teer decrease)) ) OR ( a ((nn decrease) OR (point decrease)) ))', query time: 1.09s Refine Results
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    Table_1_Tipping point of plant functional traits of Leymus chinensis to nitrogen addition in a temperate grassland.DOCX by Guojiao Yang (12158151)

    Published 2022
    “…We chose the native, perennial clonal grass, Leymus chinensis in Inner Mongolia steppe, and conducted a field experiment, in which six N addition rates (0, 2, 5, 10, 20, and 50 g N m<sup>–2</sup> year<sup>–1</sup>) and five N compound types [NH<sub>4</sub>NO<sub>3</sub>, (NH<sub>4</sub>)<sub>2</sub>SO<sub>4</sub>, NH<sub>4</sub>HCO<sub>3</sub>, CO(NH<sub>2</sub>)<sub>2</sub>, slow-release CO(NH<sub>2</sub>)<sub>2</sub>] are considered. …”
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    Transient neonatal olfactory deprivation causes a persistent decrease in the addition of CR+ PGCs. A by Yasuko Kato (122938)

    Published 2012
    “…. & reopening group was used as a control (control). The number of PGCs was quantified at P61. …”
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    Substance P decreases PRL immunoreactivity in human epidermis. by Ewan A. Langan (405804)

    Published 2013
    “…<p>Epidermal PRL IR (black arrows) was examined in full-thickness human skin organ culture. (A) PRL IR in the control group was significantly greater than that in (B) Substance P treated skin. …”
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    Effect on the metabolic clearance rate (MCR) of meranzin hydrate (MH) under the inhibition of recombinant CYP1A2 and CYP2C19. by Xi Huang (12172)

    Published 2014
    “…The MCRs of MH were significantly decreased compared with that of the control for CYP1A2 and CYP2C19, for both concentrations of MH.…”
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    Application of Machine Learning-Based Models to Understand and Predict Critical Flux of Oil-in-Water Emulsion in Crossflow Microfiltration by Henry J. Tanudjaja (12106715)

    Published 2022
    “…Exceptions were found in specific cases when casein concentration was the most dominant, since the smaller sizes of casein significantly decreased <i>J</i><sub>crit</sub>. The NN model predicted the best when all nine input parameters were integrated and the worst when CFV was the sole parameter used for model development, even though CFV was identified as the most dominant. …”
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