يعرض 1,201 - 1,220 نتائج من 1,763 نتيجة بحث عن '(( 10 ((nn decrease) OR (a decrease)) ) OR ( 5 ((peter decrease) OR (mean decrease)) ))', وقت الاستعلام: 0.17s تنقيح النتائج
  1. 1201

    Effect of pH on dissolution of iron sulfide scales using THPS حسب Ahmed, Musa

    منشور في 2019
    "…Both experimental and theoretical techniques suggest that the pyrite dissolution ability of THPS decreases as pH increases. Conversely, combing THPS with EDTA (Ethylenediaminetetraacetic acid) proved effective in dissolving a mixture of different iron sulfide field scales. …"
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  2. 1202
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    Correlated decay of triplet excitations in the shastry-sutherland compound SrCu2 (BO3)2 حسب Zayed, M.E.

    منشور في 2014
    "…The excitation amplitude rapidly decreases as a function of temperature, while the integrated spectral weight can be explained by an isolated dimer model up to 10 K. …"
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  5. 1205
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    Recycled Waste Tires Management in Constructions حسب Hamid, Salma Mohamed

    منشور في 2020
    "…The LCCA results show that the rubberized concrete (RC2), obtained by replacing 5% of aggregate and mixing it with seawater, is more cost-effective than RC1, with a cost savings of 30%.LCCA data were acquired by investigating thirteen concrete mixes (a control mix; 5%, 10%, and 20% rubber aggregate substitutions mixed with freshwater; and 0%, 5%, and 10% rubber aggregate substitutions mixed with seawater). …"
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  11. 1211

    Algal-algal bioflocculation enhances the recovery efficiency of Picochlorum sp. QUCCCM130 with low auto-settling capacity حسب Saadaoui, I.

    منشور في 2023
    "…Results showed that self-settlement capacity increased with cell size and can be indirectly related to a decreased zeta potential of larger cells which enhances the Van der Waals attractive forces. …"
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    Deep learning for detection of routing attacks in the internet of things حسب YAVUZ, Furkan Yusuf

    منشور في 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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