Showing 181 - 186 results of 186 for search '(( 5 ((step decrease) OR (nn decrease)) ) OR ( 100 (((meer OR per) decrease) OR (a decrease)) ))', query time: 0.15s Refine Results
  1. 181

    Allelopathic effects of the invasive Prosopis juliflora (sw.) Dc. On seed germination of selected Qatari native plant species by Bibi, Shazia

    Published 2016
    “…In order to achieve the goals, aqueous extract of P. juliflora was made by immersing 100 g/l of powdered parts of plant in warm distilled water (∼50°C) for 24 hours with regular mixing. …”
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  2. 182

    Semi-continuous anaerobic digestion of the organic fraction of municipal solid waste: digester performance and microbial population dynamics by Najoua, Mlaik

    Published 2022
    “…Three organic loading rates (OLRs) were tested throughout the anaerobic process (1.36, 2.5 and 3.5 g VS/L.d). The achieved results showed that biogas yield decreased with the increase of OLR. …”
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  3. 183

    Comparing Methods for Induction of Insulin Resistance in Mouse 3T3-L1 Cells. by Al-Jaber, Hend

    Published 2024
    “…These factors included 2.5nM tumor necrosis factor-alpha (TNFα), 20 ng/ml interleukin-6 (IL-6), 10 micromole 4-hydroxynonenal (4HNE), and high insulin (HI) at a concentration of 100nM. To assess cell proliferation, DAPI staining was employed, and the expression of genes associated with various metabolic pathways affected by insulin resistance was investigated using Real-Time PCR. …”
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  4. 184

    Driver Drowsiness Detection Study using Heart Rate Variability analysis in Virtual Reality Environment by Chowdhury, Muhammad E.H.

    Published 2018
    “…ECG signal was band passed through a filter (0.05-100 Hz) digitized at a sampling frequency of 500 Hz with 12-bit resolution to be displayed on the device GUI software BioCapture. …”
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  5. 185

    RF-based drone detection and identification using deep learning approaches: An initiative towards a large open source drone database by Al-Sa'd, Mohammad F.

    Published 2019
    “…Averaged accuracy has decreased from 99.7% for the first DNN (2-classes), to 84.5% for the second DNN (4-classes), and lastly, to 46.8% for the third DNN (10-classes). …”
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  6. 186

    RF-based drone detection and identification using deep learning approaches: An initiative towards a large open source drone database by Al-Sa'd M.F.

    Published 2019
    “…Averaged accuracy has decreased from 99.7% for the first DNN (2-classes), to 84.5% for the second DNN (4-classes), and lastly, to 46.8% for the third DNN (10-classes). …”
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