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Showing 681 - 700 results of 731 for search '(( 10 ((we decrease) OR (((nn decrease) OR (mean decrease)))) ) OR ( 100 nm decrease ))*', query time: 0.20s Refine Results
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    Turning point in COVID-19 severity and fatality during the pandemic: a national cohort study in Qatar by Chemaitelly, Hiam

    Published 2023
    “…The post-first omicron phase saw a drastic drop to 0.10 (95% CI 0.08 to 0.14) per 1000 person years, a 95.4% reduction. …”
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    Impact of COVID-19 lockdown on smoking (waterpipe and cigarette) and participants' BMI across various sociodemographic groups in Arab countries in the Mediterranean Region by Al Sabbah, Haleama

    Published 2022
    “…CONCLUSIONS: Although the overall rates of smoking among the studied countries decreased during the lockdown period, we cannot attribute this change in smoking behavior to the lockdown. …”
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  11. 691

    Burden of disease attributable to suboptimal diet, metabolic risks and low physical activity in Ethiopia and comparison with Eastern sub-Saharan African countries, 1990-2015: findi... by Melaku, Yohannes Adama

    Published 2018
    “…While the age-adjusted proportion of all-cause mortality attributable to CMU decreased significantly between 1990 and 2015, it increased from 10.8% [95% UI: 8.8-13.3] to 14.5% [95% UI: 11.7-18.0] for dietary risks and from 17.0% [95% UI: 15.4-18.7] to 24.2% [95% UI: 22.2-26.1] for metabolic risks. …”
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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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  17. 697

    Driver Drowsiness Detection Study using Heart Rate Variability analysis in Virtual Reality Environment by Chowdhury, Muhammad E.H.

    Published 2018
    “…By identifying the RRI as well as the distance between the RR peaks, we can decide if the driver is in drowsy state or not, by analyzing HRV time and frequency domain features. …”
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