Showing 221 - 240 results of 53,027 for search '(( 05 1 decrease ) OR ( 50 ((((we decrease) OR (nn decrease))) OR (mean decrease)) ))', query time: 0.77s Refine Results
  1. 221

    Charts revealing A) the significant decrease (<i>p</i> < 0.05) in the membrane integrity and B) the significant increase (<i>p</i> < 0.05) in the membrane permeability after treatment with harmalacidine hydrochloride in a representative <i>S. aureus</i> isolate (n = 3 as technical repeats of the same isolate). by Manal A. Alossaimi (10269852)

    Published 2025
    “…<p>Charts revealing A) the significant decrease (<i>p</i> < 0.05) in the membrane integrity and B) the significant increase (<i>p</i> < 0.05) in the membrane permeability after treatment with harmalacidine hydrochloride in a representative <i>S. aureus</i> isolate (n = 3 as technical repeats of the same isolate).…”
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    Inclusion of TPP side chains result in decreased melanoma cell mitochondria membrane potential, oxygen consumption, and increased DHE oxidation. by Kyle C. Kloepping (9928265)

    Published 2020
    “…<p>(A) A375 melanoma cells were treated with 0.5 μM, 1.0 μM, or 2.0 μM 5-, 10-, or 16-TPP for 1 h and analyzed for mitochondria membrane potential by the JC-1 method (* significant relative to control; p<0.05; n = 2 from 2 separate experiments; N = 4). …”
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    Temporal profiles of the key BO-NN features. by Julia Berezutskaya (9080269)

    Published 2020
    “…Right plot show the gradual decrease in the TM tuning for the features highlighted in <b>c</b> as well as the gradual increase in the temporal response profile (i.e. optimal shifts for the prediction of the key BO-NN features using Praat features shown in <b>a</b>). …”
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    Annual treatment frequencies in recurrence and non-recurrence groups. by Yasuyuki Sotani (20114144)

    Published 2025
    “…(<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0332941#pone.0332941.g007" target="_blank">Fig 7</a>). Mean outpatient visits in the recurrence group decreased from 13.6 ± 3.0 to 11.9 ± 5.0, 8.1 ± 3.9, and 7.8 ± 3.2 at 1, 2, and 3 years postoperatively, respectively (Kruskal-Wallis test, p < 0.001). …”
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    Neural networks classify states which differ in neuronal activity levels using ensembles of neurons that increase/decrease their activity in each state. by Nicholas A. Frost (10739821)

    Published 2021
    “…<p><b>(A)</b> In this case, the State B raster was generated from the State A raster by shifting activity from neurons 1–50 to neurons 51–100. As a result, there is an increase (neurons 51:100) or decrease (neurons 1:50) in activity levels in State B compared to State A. …”
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