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Showing 121 - 140 results of 314 for search '(((( peer decrease ) OR ((( samer increase ) OR ( spite decrease ))))) OR ( mean decrease ))', query time: 0.13s Refine Results
  1. 121

    Simulation of the size-composition distribution of atmospheric nanoparticles over Europe by David Patoulias (4722960)

    Published 2018
    “…The ground level concentrations of particles with a diameter larger than 100 nm (N100) were reproduced with a daily normalized mean error of 40 % and a daily normalized mean bias of −20 %. …”
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    Wind shear coefficient, turbulence intensity and wind power potential assessment for Dhulom, Saudi Arabia by Rehman, Shafiqur

    Published 2020
    “…The study also includes the local values of air density calculated using temperature and pressure measurement made at 2 m AGL during the same period. The mean wind speed above 4 m/s and the standard deviation values were used to obtain the turbulence intensities (TI) at different heights. …”
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  4. 124

    Excess pCO2 and carbonate system geochemistry in surface seawater of the exclusive economic zone of Qatar (Arabian Gulf) by Connor, Izumi

    Published 2022
    “…CO2 is lost from the Gulf due to gas exchange, decreasing DIC, and reducing pCO2 to 464 μatm, similar to that observed. …”
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    Portfolio Selection Problem Using CVaR Risk Measures Equipped with DEA, PSO, and ICA Algorithms by Abdelouahed Hamdi (14158899)

    Published 2022
    “…It was found that when solving the Mean-CVaR model with evolutionary algorithms, the risk decreased. …”
  10. 130

    Land surface temperature responses to land use dynamics in urban areas of Doha, Qatar by Shikha, Patel

    Published 2024
    “…The LST data derived from remote sensing sources demonstrates an upward trend for summer and a contrasting trend for winter. Specifically, the mean summer LST increases by 7.64 °C (0.34 °C annually), and the mean winter LST decreases by 4.87 °C (0.22 °C annually). …”
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  15. 135

    Mental health, burnout and resilience in community pharmacists during the COVID-19 pandemic: A cross-sectional study by Zeana, Samir AlKudsi

    Published 2022
    “…Participants had shown moderate resilience (mean score: 27.64 (SD = 8.31)) and their mean score fear of COVID19 was 15.67 (SD = 6.54). …”
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  16. 136

    Impact of staying at home measures during COVID-19 pandemic on the lifestyle of Qatar’s population: Perceived changes in diet, physical activity, and body weight by Muna Abed Alah (14779534)

    Published 2021
    “…Participants reported increased sitting/reclining time (1.94 h/day mean increase), screen times (2.05 h/day mean increase) with p < 0.001, and decreased exercise time (0.11 h/day mean reduction) with p < 0.001. …”
  17. 137

    Which factor explains the life‐history of <i>Xanthium strumarium</i> L., an aggressive alien invasive plant species, along its altitudinal gradient? by Rafi Ullah (8146836)

    Published 2022
    “…Among climatic variables, mean yearly temperature, mean annual yearly humidity, and mean day length in hours, while in soil variables, organic matter and nitrogen percentage significantly affect the phenological and morphological stages. …”
  18. 138

    Land surface temperature responses to land use dynamics in urban areas of Doha, Qatar by Shikha Patel (14151027)

    Published 2024
    “…The LST data derived from remote sensing sources demonstrates an upward trend for summer and a contrasting trend for winter. Specifically, the mean summer LST increases by 7.64 °C (0.34 °C annually), and the mean winter LST decreases by 4.87 °C (0.22 °C annually). …”
  19. 139

    Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2... by Michael, Brauer

    Published 2024
    “…We separated risk factors into three groups according to trajectory over time: those with a decreasing attributable burden, due largely to declining risk exposure (eg, diet high in trans-fat and household air pollution) but also to proportionally smaller child and youth populations (eg, child and maternal malnutrition); those for which the burden increased moderately in spite of declining risk exposure, due largely to population ageing (eg, smoking); and those for which the burden increased considerably due to both increasing risk exposure and population ageing (eg, ambient particulate matter air pollution, high BMI, high FPG, and high SBP). …”
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