Showing 1,161 - 1,180 results of 1,826 for search '(( 2 1 decrease ) OR ( 10 ((steel decrease) OR (((mean decrease) OR (a decrease)))) ))*', query time: 0.29s Refine Results
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    Improved flexible, controlled dielectric constant material from recycled LDPE polymer composites by Noorunnisa Khanam, P.

    Published 2016
    “…In this study, recycled low density polyethylene (RLDPE) is developed with the addition of aluminum oxide (Al2O3) to have new polymer composites. The following wt% were used of the filler (1, 4 and 6 wt%). …”
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    Binary Si–Ge Alloys as High-Capacity Anodes for Li-Ion Batteries by Bensalah, Nasr

    Published 2020
    “…The specific charge capacity retention decreases from 97.7%, 94.5%, 88.7%, and 81.2% after 20, 30, 40, and 50 cycles, respectively. …”
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    The impact of using produced water for plant irrigation and its effects on plants and soil characteristics by Atia, Fathy Atia Mohamed

    Published 2017
    “…The results showed that all plants could not survive except Medicago sativa which tolerated up to 10% produced water with a decrease in intensity, length and biomass. …”
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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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    Impact of composition and salinity on swelling and gel strength of poly (acrylamide-co-acrylic acid) preformed particle gel by Ben Ali, Ahmed

    Published 2023
    “…The highest equilibrium swelling capacity among the six preformed particle gel samples was obtained for PPG2, which has the highest acrylic acid amount and the lowest crosslinker content, with a swelling ratio of 2400 g/g in deionized water and 59.8 g/g in brine 1 (67535.8 mg/l). …”
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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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