Showing 421 - 440 results of 1,347 for search '(( 10 i decrease ) OR ( 10 ((per decrease) OR (((nn decrease) OR (mean decrease)))) ))*', query time: 0.16s Refine Results
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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. …”
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    Mental health, burnout and resilience in community pharmacists during the COVID-19 pandemic: A cross-sectional study by Zeana, Samir AlKudsi

    Published 2022
    “…Resilience was assessed using the Connor-Davidson Resilience Scale-10 (CD-RISC-10). Depression, anxiety, and stress were measured by the Depression, Anxiety, and Stress Scale (DASS-21). …”
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    Study of the effects of dust, relative humidity, and temperature on solar PV performance in Doha: Comparison between monocrystalline and amorphous PVS by Touati F.A.

    Published 2013
    “…It was estimated that 100 days of dust accumulation over monocrystalline PV panels, caused the efficiency to decrease by around 10%. This limitation makes solar PVs to represent an unreliable source of power for unattended or remote devices and thus strongly suggests the challenge of cleaning the panel's surface regularly or injecting technical modifications. …”
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    Simulation and Optimization of an LNG Plant Cold Section by Katebah, Mary Anna

    Published 2018
    “…Using the short cut method, optimization revealed that optimized MR composition resulted in almost 10% MR compression power and 6% plant operating cost savings, whereas new intermediate propane evaporation pressures, identified using detailed simulation, and flowrates decreased the propane compression power and operating costs by around 3.6%, and 2%, respectively. …”
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    Concentrated Solar Power Plant for Key Locations in Doha Qatar by Elbeh, Mutaz Bargas

    Published 2017
    “…One of the pillars of the Qatar National Vision 2030 is the protection and preservation of the environment by decreasing the dependency on hydrocarbon resources and promoting the use and development of renewable energy sources. …”
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