Showing 1 - 20 results of 261 for search '(( 59 ((nn decrease) OR (_ decrease)) ) OR ((( 2020 wave decrease ) OR ( _ de decrease ))))*', query time: 0.24s Refine Results
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    Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm by Abu Zitar, Raed

    Published 2022
    “…As a result, the embedding capacity in each class can increase by reducing the value of the difference between two consecutive pixels, and the distortion of the marked image can decrease after inserting the personal data using the DE method. …”
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    Transport impacts in Germany and State of Qatar: An assessment during the first wave of COVID-19 by Birgit, Jaekel

    Published 2022
    “…The secondary data comparison from February 2020 to July 2020 indicated an overall decline in mobility for all commercial activities and an increase was noted for parks and residential locations for Saxony, Germany. …”
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    Trends in prevalence of depression and anxiety symptoms and effects of sociodemographic variables before and after the first wave of COVID-19 in Qatar by Khaled, Salma M.

    Published 2022
    “…The data for 2020/21 showed a 35.1% and 29.2% decrease in depression and anxiety symptoms scores compared to pre-pandemic years (2017/2018) after adjusting for sociodemographic factors. …”
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    Antibiotics Prescriptions Pattern among Patients Visiting Primary Health Care Centers (PHCC) before and during COVID-19 Pandemic: A Cross-Sectional Population-Based Study from Qata... by Al-Nuaimi, Salma

    Published 2023
    “…Results: Prior to the COVID-19 outbreak, the PHCCs dispensed a total of 74,909 antibiotic prescriptions in November and December. During the first wave of COVID-19, the number decreased to 29,273 prescriptions in June and July 2020. …”
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    Forecast of the outbreak of COVID-19 using artificial neural network: Case study Qatar, Spain, and Italy by Shawaqfah M.

    Published 2021
    “…The present study illustrates the outbreak prediction and analysis on the growth and expansion of the COVID-19 pandemic using artificial neural network (ANN). The first wave of the pandemic outbreak of the novel Coronavirus (SARS-CoV-2) began in September 2019 and continued to March 2020. …”
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    USING EMBEDDED MACHINE LEARNING IN THE PHYSICAL WORLD TO DETECT TOXICITY IN SPOKEN LANGUAGE by ABU NADA, AHLAM HUSNI

    Published 2023
    “…Our model uses multitask learning and achieves an average macro F1-score of 90.3% and a weighted accuracy of 88%, outperforming state-ofthe- art methods on DeToxy-B and the IEMOCAP datasets. In our study, quantization demonstrated a significant reduction in model size by almost fourfold and a 3.3-fold decrease in RAM usage. …”
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    Pleiotropic properties of statins via angiogenesis modulation in cardiovascular disease by Fatemeh, Zahedipour

    Published 2022
    “…Statins reduce plasma cholesterol by inhibiting its de novo synthesis. In addition, statins impart ‘pleiotropic’ activities that do not directly relate to their ability to decrease cholesterol. …”
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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
    “…Methods and analysis We conducted a national cohort study on 312 109 Qatari citizens to investigate incidence of severe, critical or fatal COVID-19 classified according to the WHO criteria between 28 February 2020 and 21 April 2023. Incidence rates for severe, critical or fatal COVID-19 were estimated during the pre-omicron phase, first omicron wave, combined phases and throughout the pandemic. …”
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    Sleeping habits during COVID-19 induced confinement: A study from Jordan by Alomari, Mahmoud A.

    Published 2021
    “…Majority of the participants (53-59%) reported an increase in most of the sleep parameters except a decrease (49.1%) in daytime sleep. …”
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