Showing 41 - 60 results of 33,948 for search '(( 20 mean decrease ) OR ((( 5 ng decrease ) OR ( 5 ((nn decrease) OR (we decrease)) ))))', query time: 0.65s Refine Results
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    An infographic outlining the data used for each analysis. by Shelby L. Sturrock (10751675)

    Published 2025
    Subjects: “…statistically significant decreases…”
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    NgR1 KO mice exhibited an increase in excitatory synapses and a decrease in inhibitory synapses, indicating an imbalance of synaptic transmission. by Jinwei Zhang (462455)

    Published 2025
    “…The inhibitory synaptic density of NgR1 mice showed a significant decrease when compared to WT mice (***P <  0.001). …”
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    2‑Ethylhexyl Diphenyl Phosphate and Its Hydroxylated Metabolites are Anti-androgenic and Cause Adverse Reproductive Outcomes in Male Japanese Medaka (Oryzias latipes) by Yu Li (183836)

    Published 2020
    “…Medaka larvae (0-day post hatching) were exposed to EHDPP for 100 days, and intersex was observed in males from all exposure groups with significantly increased incidence (13.5–48.6%). 17β-E<sub>2</sub> was promoted at 104 ng/L, and androgens were suppressed at 434 ng/L, which account for the intersex incidence in the high-exposure groups but do not explain the significant incidence of intersex in the 29.9 ng/L exposure group. …”
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    2‑Ethylhexyl Diphenyl Phosphate and Its Hydroxylated Metabolites are Anti-androgenic and Cause Adverse Reproductive Outcomes in Male Japanese Medaka (Oryzias latipes) by Yu Li (183836)

    Published 2020
    “…Medaka larvae (0-day post hatching) were exposed to EHDPP for 100 days, and intersex was observed in males from all exposure groups with significantly increased incidence (13.5–48.6%). 17β-E<sub>2</sub> was promoted at 104 ng/L, and androgens were suppressed at 434 ng/L, which account for the intersex incidence in the high-exposure groups but do not explain the significant incidence of intersex in the 29.9 ng/L exposure group. …”
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    Results of mean differences. by Ekkarat Meephu (15307058)

    Published 2023
    “…A simulation was conducted to identify 20 scenarios in order to discover the optimal scenario in which where the number of requests (stretchers or wheelchairs) was increased, while the number of staff was decreased to determine mean waiting times and confidence intervals. …”
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