Showing 861 - 880 results of 1,059 for search '(( 50 ((mean decrease) OR (a decrease)) ) OR ((( a stem decrease ) OR ( 1 m decrease ))))*', query time: 0.20s Refine Results
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    Investigation of gas-liquid flow using electrical resistance tomography and wavelet analysis techniques for early kick detection by Barooah, Abinash

    Published 2021
    “…The experiments were conducted on a horizontal flow loop of 6.16 mERT with an annular diameter ratio of 1.8 for Newtonian fluid (Water) with varying pipe inclination angle (0 - 10o) and annulus eccentricity (0 - 30%), liquid flow rate (165 - 265 kg/min), and air input pressure (1 - 2 bar). …”
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    Highly dispersed Pt nanoparticles on ultrasmall EMT zeolite: A peroxidase-mimic nanoenzyme for detection of H2O2 or glucose by Li, Xiaolong

    Published 2020
    “…A facile and reliable colorimetric assay based on the peroxidase mimic of Pt/EMT nanocomposite was constructed for precise detection of H2O2 and glucose in a wide linear range, with low limits of detection of 1.1 ?M and 13.2 ?M, respectively. Due to high selectivity to glucose against other sugars on the catalyst, the method was demonstrated to accurately measure the concentration of glucose in real samples including human blood serum and fruit juices, indicating a potential application of the Pt/EMT nanocomposites as a robust peroxidase mimic and a reliable biosensor in the fields of clinical diagnosis, pharmaceutical, food research and so on. 2020…”
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  13. 873

    Synthesis of silica supported ni and cu catalyst for carbon dioxide methanation reaction by Aheed, Ahmed

    Published 2019
    “…The activity and product selectivity and stability for methanation reaction on Ni/SiO2 and Cu/SiO2 catalysts have been evaluated using a flow reactor between 50ºC - 650ºC. The as-synthesized catalysts were characterized using XRD, SEM, TEM to understand the structural properties. …”
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    Optimal virtual network function placement in multi-cloud service function chaining architecture by Bhamare, Deval

    Published 2017
    “…The link queues are modeled as M/D/1 (single server/Poisson arrival/deterministic service times) and server queues as M/M/1 (single server/Poisson arrival/exponential service times) based on the statistical analysis. …”
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