Showing 8,901 - 8,920 results of 15,870 for search '(( six ((we decrease) OR (a decrease)) ) OR ( i ((largest decrease) OR (larger decrease)) ))', query time: 0.99s Refine Results
  1. 8901

    Influence of Steric and Dispersion Interactions on the Thermochemistry of Crowded (Fluoro)alkyl Compounds by Markus Bursch (3846760)

    Published 2023
    “…In this context, homolytic cleavage of the central C–C bond in a series of model alkanes of increasing size with <i>tert</i>-butyl (<i>t</i>Bu), adamantyl (Ad), and [1.1.1]­propellanyl (Prop) substituents is investigated. …”
  2. 8902
  3. 8903
  4. 8904

    Pilot-scale petroleum refinery wastewaters treatment systems: performance and microbial communities' analysis by Karray, Fatma

    Published 2020
    “…The reduction of the COD, BOD5, phenols, and the total petroleum hydrocarbon (TPH) reached 82.10%, 85.87%, 91.63%, and 81.11%, respectively at high hydraulic residence time (HRT = 10 days). Decreasing HRT to 5 and 2.5 days led to a decrease in the efficiency of the process and a decrease in biomass concentration was also observed (<1000 mg/l). …”
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  5. 8905

    Change in carotenoid titer throughout the adult immune assessment period. by Michael W. Butler (320995)

    Published 2013
    “…HIGH HIGH birds showed a larger decrease in circulating carotenoid levels over the first six days of the adult immune assessment than all other groups (*; all <i>P</i><0.05).…”
  6. 8906

    Assessment of oscillatory potential (OP) amplitude profiles. by Jake Bedore (777372)

    Published 2015
    “…Quantification of summed OP amplitude for the four OPs measured over the four largest stimulus strengths (0.63–25 cd˖s /m<sup>2</sup>) under scotopic conditions measured shows a significant decrease in VAChT<sup>Six3-Cre-flox/flox</sup> retinas (open circles) relative to littermate controls (VAChT<sup>flox/flox</sup>, closed squares) at (I) 5 (n = 7 VAChT<sup>Six3-Cre-flox/flox</sup> and n = 12 littermate control) and (J) 12 months of age (n = 5 VAChT<sup>Six3-Cre-flox/flox</sup> and n = 5 littermate control). …”
  7. 8907

    Comparison of substrate metabolism in brown and white preadipocytes and adipocytes. by Barry R. Bochner (226699)

    Published 2011
    “…<p>Normalized optical-density scores representing nutrient metabolism, showing the greatest differences between white fat (top) and brown fat (bottom) cells in either an undifferentiated (gray bars) or differentiated (black bars) state. Included are a) wells that cause no change (1, negative control), b) nutrients that are high in brown preadipocytes and decrease upon differentiation (2, α-D-glucose-1-phosphate; 3, D-glucose-6-phosphate; 4, D-fructose-6-phosphate; 5, glycogen), c) a similarly behaved nutrient that is high in white fat (6, hexanoic acid), d) nutrients that decrease during differentiation of both cell types (7, dextrin; 8, butyric acid), and e) nutrients that increase upon white fat differentiation (9, L-leucine; 10, Leu-Leu; 11, succinamic acid, 12. acetoacetic acid). …”
  8. 8908

    Ankyrin-B<sup>+/−</sup> mice display premature senescence and reduced longevity. by Peter J. Mohler (35301)

    Published 2007
    “…While we observe no major differences in phenotypes at eight weeks, we observe a slight decrease in size and the presence of lordokyphosis in ankyrin-B<sup>+/−</sup> mice at six months of age. …”
  9. 8909

    Quantifying the difference in phylogenetic signal along the bloodstream expression site. by Christiane Hertz-Fowler (243178)

    Published 2008
    “…Non-significant differences in likelihood are denoted by a dashed circle as evident when constraining the <i>ESAG5</i> topology with the <i>ESAG6</i> topology; however, enforcing the topologies of central loci (<i>ESAGs 4</i> and <i>8</i>) caused a moderate decrease in likelihood, whilst constraining with <i>ESAG</i>s <i>2</i>, <i>11</i> or <i>1</i> caused a larger decrease.…”
  10. 8910

    Results for IHD. by Eric V. Strobl (16854789)

    Published 2025
    “…(I) The mean CRCEs of MRPL1, TRBV6-2 and FAM241B remained the largest in this cluster.…”
  11. 8911

    Ensemble-averaged statistics are similar across models. by Giuseppe Passucci (6330971)

    Published 2019
    “…(B) The velocity auto-correlation function <i>C</i><sub><i>vv</i></sub> as a function of time <i>dt</i>. …”
  12. 8912
  13. 8913

    Changes in Rat Brain Tissue Microstructure and Stiffness during the Development of Experimental Obstructive Hydrocephalus by Lauriane Jugé (2155081)

    Published 2016
    “…For the cortical gray matter, an increase in extracellular tissue water was significantly associated with a decrease in tissue stiffness (<i>P</i> = 0.001). …”
  14. 8914

    Comparison of regional average magnitude and period average rate of microsphere displacement for each boundary condition and between the experiment and model. by Aribet M. De Jesus (2166139)

    Published 2016
    “…<p>(A) Average cumulative microsphere displacement and (B) period average rate of microsphere displacement in the experiment for all four regions and for each boundary condition plotted every six hours. …”
  15. 8915

    Presentation4_Estimation of the P Fertilizer Demand of China Using the LePA Model.PPTX by Wenjia Yu (9422059)

    Published 2021
    “…It is necessary to avoid excess P input in agriculture through estimating P demand. We used the legacy P assessment model (LePA) to estimate P demand based on soil P management at the county, regional, and country scales according to six P application rate scenarios: (1) rate in 2012 maintained; (2) current rate maintained in low-P counties and P input stopped in high-P counties until critical Olsen-P level (CP) is reached, after which rate equals P-removal; (3) rate decreased to 11.5 kg ha<sup>−1</sup> year<sup>−1</sup> in low-P counties after CP is reached and in high-P counties; (4) rate in each county decreased to 1–8 kg ha<sup>−1</sup> year<sup>−1</sup> after soil Olsen-P reached CP in low P counties; (5) rate in each county was kept at P-removal rate after reduction; (6) P input was kept at the rate lower than P-offtake rate after reduction. …”
  16. 8916

    Presentation3_Estimation of the P Fertilizer Demand of China Using the LePA Model.PPTX by Wenjia Yu (9422059)

    Published 2021
    “…It is necessary to avoid excess P input in agriculture through estimating P demand. We used the legacy P assessment model (LePA) to estimate P demand based on soil P management at the county, regional, and country scales according to six P application rate scenarios: (1) rate in 2012 maintained; (2) current rate maintained in low-P counties and P input stopped in high-P counties until critical Olsen-P level (CP) is reached, after which rate equals P-removal; (3) rate decreased to 11.5 kg ha<sup>−1</sup> year<sup>−1</sup> in low-P counties after CP is reached and in high-P counties; (4) rate in each county decreased to 1–8 kg ha<sup>−1</sup> year<sup>−1</sup> after soil Olsen-P reached CP in low P counties; (5) rate in each county was kept at P-removal rate after reduction; (6) P input was kept at the rate lower than P-offtake rate after reduction. …”
  17. 8917

    Presentation2_Estimation of the P Fertilizer Demand of China Using the LePA Model.PPTX by Wenjia Yu (9422059)

    Published 2021
    “…It is necessary to avoid excess P input in agriculture through estimating P demand. We used the legacy P assessment model (LePA) to estimate P demand based on soil P management at the county, regional, and country scales according to six P application rate scenarios: (1) rate in 2012 maintained; (2) current rate maintained in low-P counties and P input stopped in high-P counties until critical Olsen-P level (CP) is reached, after which rate equals P-removal; (3) rate decreased to 11.5 kg ha<sup>−1</sup> year<sup>−1</sup> in low-P counties after CP is reached and in high-P counties; (4) rate in each county decreased to 1–8 kg ha<sup>−1</sup> year<sup>−1</sup> after soil Olsen-P reached CP in low P counties; (5) rate in each county was kept at P-removal rate after reduction; (6) P input was kept at the rate lower than P-offtake rate after reduction. …”
  18. 8918

    DataSheet2_Estimation of the P Fertilizer Demand of China Using the LePA Model.docx by Wenjia Yu (9422059)

    Published 2021
    “…It is necessary to avoid excess P input in agriculture through estimating P demand. We used the legacy P assessment model (LePA) to estimate P demand based on soil P management at the county, regional, and country scales according to six P application rate scenarios: (1) rate in 2012 maintained; (2) current rate maintained in low-P counties and P input stopped in high-P counties until critical Olsen-P level (CP) is reached, after which rate equals P-removal; (3) rate decreased to 11.5 kg ha<sup>−1</sup> year<sup>−1</sup> in low-P counties after CP is reached and in high-P counties; (4) rate in each county decreased to 1–8 kg ha<sup>−1</sup> year<sup>−1</sup> after soil Olsen-P reached CP in low P counties; (5) rate in each county was kept at P-removal rate after reduction; (6) P input was kept at the rate lower than P-offtake rate after reduction. …”
  19. 8919

    Dataset: Spatial Variability and Uncertainty of Soil Nitrogen across the Conterminous United States at Different Depths by Elizabeth Smith (12273647)

    Published 2022
    “…We used a random forest-regression kriging algorithm to predict soil N concentrations and associated uncertainty across six soil depths (0-5, 5-15, 15-30, 30-60, 60-100, 100-200 cm) at 5 km spatial grids. …”
  20. 8920

    Graphic representation of the size-structured matrix model. by Shujuan Xia (5349296)

    Published 2018
    “…Instead, we assume that all individuals growing from size class <i>k</i> into an imaginary larger and empty size class <i>k</i>+1 out of this community die and the carrion <i>C</i><sub><i>k</i>+1</sub> is recycled to resources. …”