Showing 1 - 20 results of 9,481 for search '(((( 50 ms decrease ) OR ( 50 ((n decrease) OR (nn decrease)) ))) OR ( 5 mg decrease ))', query time: 0.51s Refine Results
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    Trial profile. by Chanel Avenant (409756)

    Published 2024
    “…Both contraceptives substantially decreased, from D0 to 25W, the total testosterone [DMPA-IM D0 0.560, 25W 0.423 nmol/L, -24.3% (p < 0.0001); NET-EN D0 0.551, 25W 0.253 nmol/L, -54.1%, (p < 0.0001)], SHBG [DMPA-IM D0 45.0, 25W 32.7 nmol/L, -29.8% (p < 0.0001); NET-EN D0 50.2, 25W 17.6 nmol/L, -65.1% (p < 0.0001)], and calculated free testosterone levels [DMPA-IM D0 6.87, 25W 5.38 pmol/L, -17.2% (p = 0.0371); NET-EN D0 6.00, 25W 3.70, -40.0% (p < 0.0001)]. …”
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    Global Land Use Change Impacts on Soil Nitrogen Availability and Environmental Losses by Jing Wang (6206297)

    Published 2025
    “…Anthropogenic activities, particularly land use change and management practices, alter the global nitrogen (N) cycle. As a central part of the global N cycle, soil N supply from net N mineralization (NNM) and net nitrification (NN) contributes to over 50% of crop N uptake. …”
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    Olaparib reverses the oxLDL-mediated decrease in co-immunoprecipitation of IκBα with RelA or p50. by Khamis Mustafa (17941332)

    Published 2024
    “…<p>Cell lysates were obtained from THP-1 monocytes exposed to reagents as indicated: Lane 1, vehicle; Lane 2, PARP inhibitor olaparib (5 mM, 24 hr); Lane 3, oxLDL (100 mg/mL, 24 hr) or Lane 4, combination of oxLDL and olaparib. …”
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    Scenario (6): Parameter variation (50% decrease)—With 5 N.m load applied at t = 0.3s. by Djaloul Karboua (16510091)

    Published 2023
    “…<p>Scenario (6): Parameter variation (50% decrease)—With 5 N.m load applied at t = 0.3s.…”
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    Repetitive stress induces a decrease in sound-evoked activity. by Ghattas Bisharat (20706928)

    Published 2025
    “…Marked at time = 0 is the onset of the 100-ms white noise. (f) A second group of mice followed the same procedures but without experiencing daily restraint stress (<i>N</i> = 3 mice, <i>n</i> = 123 neurons). …”
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