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point decrease » point increase (Expand Search)
ng decrease » nn decrease (Expand Search), _ decrease (Expand Search), we decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
5 point » _ point (Expand Search)
5 mean » _ mean (Expand Search), a mean (Expand Search), i mean (Expand Search)
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Hypothesis that explains and predicts expansion of ages of KD due to decreased IgG levels.
Published 2022Subjects: -
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mGluR5 receptor decreased glycinergic currents.
Published 2019“…(<b>E</b>) The inhibitory effect of CHPG on GlyR-IPSCs was not blocked by intracellularly loaded GDP-β-S (62.3 ± 6.4% of baseline at 15–20 min post-CHPG, <i>t</i>[6] = 2.782, <i>p</i> = 0.032), chelerythrine (60.9 ± 11.3% of baseline at 15–20 min post-CHPG, <i>t</i>[6] = 2.705, <i>p</i> = 0.035), or Ro-32-0432 (69.9 ± 3.2% of baseline at 15–20 min post-CHPG, <i>t</i>[5] = 8.495, <i>p</i> < 0.001). (<b>F</b>) Postsynaptic loading of U-0126 or PD98059 prevented CHPG from decreasing glycinergic responses (U-0126, 107.6 ± 10.4% of baseline at 15–20 min post-CHPG, <i>t</i>[8] = 0.997, <i>p</i> = 0.348; PD98059, 93.1 ± 5.0% of baseline at 15–20 min post-CHPG, <i>t</i>[5] = 0.883, <i>p</i> = 0.418). …”
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Density plots of normalised consumer final power (PC) for the six example networks, shown over decreasing ratios of mean consumer to mean resource potential, .
Published 2020“…<p>Each plot shows the density for the normalised consumer final power at = 0.75, 0.5, and 0.25, from left to right, as the ratio decreases due to increased resource flow during the simulation. …”
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Spatial information is significantly decreased in dCA1 and vCA1 in APP/PS1 mice.
Published 2024“…(B) In dCA1, spatial information was decreased in APP/PS1 mice relative to C57BL/6 controls (mean ± std: C57BL/6 = 0.132 ± 0.048, APP/PS1 = 0.128 ± 0.051, p < 0.005, two-sided Wilcoxon rank-sum test, n<sub>C57BL/6</sub> = 305 units from 5 recording sessions, n<sub>APP/PS1</sub> = 180 units from 4 recording sessions). …”
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Multivariable Linear Regression Model of the Residents P-V Fit score<sup>a</sup>.
Published 2025Subjects: -
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