Showing 16,401 - 16,420 results of 27,013 for search '(( 50 ((ppm decrease) OR (a decrease)) ) OR ( 50 ((mean decrease) OR (nn decrease)) ))', query time: 0.79s Refine Results
  1. 16401

    Model example of exponential decay of temporal masking thresholds (normalized to amplitude of 1) at two different temporal masking half-lifes <i>T</i><sub><i>½</i></sub> (0.5 ms in... by Eugen Kludt (9962590)

    Published 2021
    “…At this stimulation rate, <i>T</i><sub><i>½</i></sub> of 0.5 ms or 1.1 ms leads to a decrease of the temporal masking threshold by 50% or 20% in the following frame, respectively.…”
  2. 16402

    Results summary. by Ana María Rodríguez (162621)

    Published 2012
    “…<p>SD<sub>50</sub>: sensitizing dose of peptide concentration required to induce half-maximum of the maximum number of specific IFN-γ secreting cells.…”
  3. 16403

    Maize fertigation with treated sanitary wastewater: growth and yield by Pablo Fernando Santos Alves (5788457)

    Published 2018
    “…<p></p><p>ABSTRACT We evaluated the growth and yield of maize field, fertigated with different wastewater rates coming from Janaúba sewage treatment plant (Minas Gerais State, Brazil). The split-plot on a randomized complete block design was used with five levels: mineral fertilizer + clean water, treated wastewater like to 50%, 100%, 150% and 200% fertilization with 60 kg.ha-1 K2O topdressing. …”
  4. 16404

    Oligodendroglioma cells produce 2HG in culture. by Barbara Klink (391506)

    Published 2013
    “…Measurements were made in triplicate. The decrease in 2HG concentrations is concomitant with the removal of approximately 50% of the spheres for implantation in between the 21- and 28-day time points.…”
  5. 16405

    The effects of adolescent alcohol on adolescent risk preference. by Matthew S. McMurray (595103)

    Published 2014
    “…Both Control and EtOH-Low animals showed decreasing risk preference over continued exposure to variable risk, while EtOH-High animals showed no decrease in risk preference over time (C). …”
  6. 16406

    Effect of NYT on inflammation in aged gastrocnemius muscle. by Shotaro Otsuka (16988620)

    Published 2024
    “…Inflammation was significantly suppressed in the SAMP8 NYT group (“P8N”) compared to that in the SAMP8 Control group. Data are shown as mean ± standard error. *p<0.05, **p<0.01, ***p<0.001; scale bar = 50 μm (A). …”
  7. 16407

    Diet-Induced Alterations in Total and Metabolically Active Microbes within the Rumen of Dairy Cows by Abderzak Lettat (401387)

    Published 2013
    “…Cows were fed a total mixed ration with the forage portion being either barley silage (0% CS), a 5050 mixture of barley silage and corn silage (50% CS), or corn silage (100% CS). …”
  8. 16408

    The effect of (+)-pentazocine and H<sub>2</sub>O<sub>2</sub> on ONHAs viability. by Jing Zhao (21160)

    Published 2017
    “…At the highest concentration of PTZ (50μM), there was a trend toward decrease in viability that was not significant. …”
  9. 16409

    sTLR2 significantly inhibits HIV-1 infection in reporter assay. by Bethany M. Henrick (292108)

    Published 2013
    “…A significant decrease (<i>P<0.001</i>) in HIV infection was observed in cells exposed to mock-D BM. …”
  10. 16410

    Supplementary Material for: Phase I Study of CHK1 Inhibitor LY2603618 in Combination with Gemcitabine in Patients with Solid Tumors by Calvo E. (3105135)

    Published 2016
    “…<i>Results:</i> Among the 50 patients enrolled, frequent adverse events possibly related to study drug treatment included fatigue (44%), decreased platelets (42%), decreased neutrophils (32%), nausea (26%), and decreased hemoglobin (20%). …”
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  15. 16415

    Optimal parameters and goodness of fit across stages and modalities. by Fernando Lehue (22513473)

    Published 2025
    “…Notice the apparent “flipping" of the y axis for the coupling parameter, which arises because we are modeling a decrease in ACh as an increase in G. <b>(C)</b> Violin plots comparing the euccorrelation metric between the simulated and empirical FC matrices, in the optimal, across 50 seeds, for all stages (* for <i>p</i> < 10<sup>−3</sup>, ** for <i>p</i> < 10<sup>−4</sup>, *** for <i>p</i> < 10<sup>−22</sup>, **** for <i>p</i> < 10<sup>−50</sup>, see Cohen’s D interpretation in Methods).…”
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