Showing 1,001 - 1,020 results of 1,796 for search '(( i e decrease ) OR ( 10 ((steel decrease) OR (((mean decrease) OR (a decrease)))) ))*', query time: 0.17s Refine Results
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    Evaluation of different personalized ventilation air terminal devices: Inhalation vs. clothing-mediated exposures by Al Assaad, Douaa

    Published 2021
    “…The model was validated experimentally in a climatic chamber by comparing real-time particle mass concentration near a thermal manikin. …”
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    Plasticization and co-crystallization in LLDPE/wax blends. by Gumede, Thandi P.

    Published 2016
    “…Upon cooling from the melt, two crystalline phases develop for blends with more than 10 wt % wax characterized by widely different melting points. …”
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    Graph-Guided Regularized Regression of Pacific Ocean Climate Variables to Increase Predictive Skill of Southwestern U.S. Winter Precipitation by Tejedor, Alejandro

    Published 2021
    “…Recently, promising data-driven approaches have been proposed, but they often suffer from overparameterization and overfitting due to the short observational record, and they often do not account for spatiotemporal dependencies among covariates (i.e., predictors such as sea surface temperatures). …”
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    Absorption of CO2 in aqueous blend of methyldiethanolamine and arginine by Talkhan, Ahmed Gomaa

    Published 2020
    “…The study was carried out at different mixing ratios of MDEA and Arg at a total concentration of 2 moles per litre. The CO2 partial pressure varied from about 10 to 100 kPa, and the temperature varied from 293 K to 323 K. …”
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    Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network by Almomani F.

    Published 2020
    “…An ANN model consists of three layers, 15 neutrons and 260 epochs accurately predict the CMP with 99.1% of data within ±10% deviation of the mean experimental value. The developed model can be used to forecast the CMP as a function of operating temperature, the substrate composition, and chemical dose, and can be used for scaling-up and cost analysis purposes.…”
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