Showing 1,101 - 1,120 results of 1,833 for search '(( 50 ((ms decrease) OR (a decrease)) ) OR ((( 10 10 decrease ) OR ( a step decrease ))))*', query time: 0.17s Refine Results
  1. 1101

    The Role of Key Impurity Elements on the Performance of Aluminium Electrolysis -Current Efficiency and Metal Quality by Al-Mejali, Jassim Ali

    Published 2016
    “…The mass transfer coefficient for silicon was determined to be 3.1 x 10-5 m/s. Mass balance for phosphorus was carried out. …”
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  2. 1102

    Nitrogen Transformations as affected by some factors at cultivated soils in Saudi Arabia by Al Falih, Abdullah M. [عبد الله مساعد خلف الفالح]

    Published 2001
    “…The influence of serial concentration of salts (0.5, 1.0 and 1.5%), application of organic matter (0.5, 1.0 and 1.5% of wheat strat) and varying soil moisture content 50, 70 and 90%) on nitrification in sandy loam soil was studied. …”
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  3. 1103

    Nitrogen Transformations As Affected By Some Factors at Cultivated Soils In Saudi Arabia by Al Falih, Abdullah M. [عبد الله مساعد خلف الفالح]

    Published 2000
    “…The influence of serial concentration of salts (0.5, 1.0 and 1.5%), application of organic matter (0.5, 1.0 and 1.5% of wheat straw) and varying soil moisture content (50, 70 and 90%) on nitrification in sandy loam soil was studied. …”
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  4. 1104

    Experimental investigations on spray flames and emissions analysis of diesel and diesel/biodiesel blends for combustion in oxy-fuel burner by ElKelawy M.

    Published 2019
    “…Diesel and a mixture of diesel and biodiesel (B0, B10, B20, B30, and B40) used as a fuel with the effect of pure air and oxy-combustion. …”
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  5. 1105
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  7. 1107

    Application of natural compounds–based gold nanoparticles for the treatment of hemolytic anemia in an anemic mouse model: Formulation of a novel drug from relationship between the... by Goorani, S.

    Published 2020
    “…Also, AuNPs significantly (p ≤ 0.01) increased the body weight; anti-inflammatory cytokine (IL4, IL5, IL10, IL13, and IFNα) concentration; and the total platelet, white blood cells, lymphocyte, neutrophil, monocyte, eosinophil, and basophil counts and red blood cell parameters but decreased the weight and volume of the liver and spleen and their subcompartments and decreased the concentration of pro-inflammatory cytokines (IL1, IL6, IL12, IL18, IFNY, and TNFα) compared to the untreated mice. …”
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  8. 1108
  9. 1109

    The Impact of Acute and Chronic Exercise on Immunoglobulins and Cytokines in Elderly: Insights From a Critical Review of the Literature. by Sellami, Maha

    Published 2021
    “…Short-term (i.e., 10-24 weeks) moderate- to high-intensity strength training reduced LPS-IL-6, LPS, IL-1β, LPS-TNF-α and circulating concentrations of TNF-α and increased IL-10 in healthy elderly women and older people with cognitive impairment, respectively. …”
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  10. 1110
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  12. 1112

    Bromate reduction by ultraviolet light irradiation using medium pressure lamp by Bensalah, Nasr

    Published 2013
    “…A UV dose of 1000 mJ/cm2 was sufficient to reduce the bromate concentration to less than 10 μg/L within 10 min. The presence of dissolved organic carbon or carbonate/bicarbonate slowed the bromate reduction rate due to absorption of non-negligible fraction of UV light by these compounds. …”
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  13. 1113
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  15. 1115
  16. 1116

    Harmed Trait Self-Control: Why Do People with a Higher Dispositional Malicious Envy Experience Lower Subjective Wellbeing? A Cross-Sectional Study by Briki W.

    Published 2019
    “…Four hundred six people (234 females and 172 males; M age=32.07, SD age=10.98, from 18 to 71 years old) took part voluntarily in the study and answered questions related to demographics, dispositional envy, trait self-control, and subjective wellbeing. …”
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  17. 1117
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  20. 1120

    Deep learning for detection of routing attacks in the internet of things by YAVUZ, Furkan Yusuf

    Published 2018
    “…In our study, the Cooja IoT simulator has been utilized for generation of high-fidelity attack data, within IoT networks ranging from 10 to 1000 nodes. We propose a highly scalable, deep-learning based attack detection methodology for detection of IoT routing attacks which are decreased rank, hello-flood and version number modification attacks, with high accuracy and precision. …”
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