Showing 1,161 - 1,180 results of 1,786 for search '(( 10 11 decrease ) OR ( 10 (((peter OR per) decrease) OR (((nn decrease) OR (a decrease)))) ))*', query time: 0.15s Refine Results
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    The effect of forced convection and PCM on helmets' thermal performance in hot and arid environments by Ghani, Saud

    Published 2017
    “…Results concluded that forced convection decreased the maximum temperature on the helmet outer surface by about 10 C. …”
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  4. 1164

    Use and assessment of “e-plastics” as recycled aggregates in cement mortar by Makri, Chrysanthi

    Published 2019
    “…The obtained results, for all RPs, (especially those of 7.5% and 10%) exhibited an increase in the CS of the specimens by 15.4% and 7.8%, respectively, with the MoE decreased in both cases by 18.1% and 23.8%, respectively. …”
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  5. 1165

    Mixed Solid Municipal Waste-Based Biochar for Soil Fertility and Greenhouse Gas Mitigation by Bansode, Rishipal

    Published 2016
    “…Municipal solid waste management is one of the major challenges facing Qatar with more than 2.5 million tons of municipal solid waste each year, a very high waste generation rate in a country with small land mass. …”
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    Preterm birth in low-middle income Countries by Alim, Swarray-Deen

    Published 2024
    “…Preterm birth (PTB), remains a major cause of significant morbidity and mortality world-wide with about 12–15million preterm births occurring every year. …”
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    Novel, selective EPO receptor ligands lacking erythropoietic activity reduce infarct size in acute myocardial infarction in rats by Kiss, K.

    Published 2016
    “…In study 4, AF43136 at 10 mg/kg decreased infarct size, similarly to the positive control CsA compared to the appropriate vehicle (39.4 ± 5.9% vs. 58.1 ± 5.4% and 45.9 ± 2.4% vs. 63.8 ± 4.1%, p < 0.05, respectively). …”
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    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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