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901
The impact of using produced water for plant irrigation and its effects on plants and soil characteristics
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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902
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903
Silicon Enhances Morpho–Physio–Biochemical Responses in Arsenic Stressed Spinach (Spinacia oleracea L.) by Minimizing Its Uptake
Published 2022“…Results from the present study revealed that the As toxicity induced a substantial decreased in shoot length, root length, number of leaves, leaf area, shoot fresh weight, root fresh weight, shoot dry weight, root dry weight, chlorophyll-a, chlorophyll-b, total chlorophyll, carotenoid content, net photosynthesis, stomatal conductance, transpiration rate, soluble sugar, reducing sugar, non-reducing sugar contents, calcium (Ca2+), magnesium (Mg2+), iron (Fe2+), and phosphorus (P) contents in the roots and shoots of the plants. …”
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904
Evaluation of different personalized ventilation air terminal devices: Inhalation vs. clothing-mediated exposures
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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905
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906
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907
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908
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909
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910
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911
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912
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913
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914
Does Securitisation Make Monetary Policy Less Effective?
Published 2021“…Our findings indicate that a contractionary monetary policy shock immediately increases securitisation activities and decreases the growth rate of traditional (non-securitised) loans. …”
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915
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916
Absorption of CO2 in aqueous blend of methyldiethanolamine and arginine
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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917
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918
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919
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920
Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network
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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