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Showing 1 - 20 results of 24 for search '(( significant predictors decrease ) OR ( significantly larger real ))', query time: 0.09s Refine Results
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    Predictors of prolonged hospitalization among geriatric trauma patients using the modified 5-Item Frailty index in a Middle Eastern trauma center: an 11-year retrospective study by Husham Abdelrahman (768893)

    Published 2025
    “…Head injury and bleeding were the leading causes of mortality in the study cohort. There was a significant decrease in the trend of geriatric trauma over the years. …”
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    Clinical and biochemical determinants of length of stay, readmission and recurrence in patients admitted with diabetic ketoacidosis by Fateen Ata (12217764)

    Published 2023
    “…However, data regarding the predictors of healthcare resource utilization in DKA is limited and inconsistent. …”
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    Nutritional Status and Clinical Outcomes of Children with Medical Complexity in the United Arab Emirates: A Retrospective Cross-Sectional Study by Al Slaybe, Maryam

    Published 2025
    “…However, limited data exist regarding their nutritional status, predictors of undernutrition, and its association with clinical outcomes, particularly in the Middle East. …”
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    masterThesis
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    Flexural strengthening of reinforced concrete beams with CFRP laminates and spike anchors by Assad, Maha

    Published 2024
    “…The use of CFRP spike anchors demonstrated positive outcomes in mitigating the debonding failure in small-scale concrete prisms in previous studies. However, the real-life behavior of anchored RC beams was rarely studied . …”
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    Effects of Social Media Use and Dependence on Dietary Intake and Prevalence of Orthorexia in Pregnant and Non-Pregnant Women by Issa, Yara

    Published 2022
    “…However, social media use was not significantly associated with orthorexia. Regression analyses showed that both social media use (p<0.001) and having a social media account (p=0.023) were predictors of reduced intuitive eating, with social media use being the most significant predictor. …”
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    masterThesis
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    A New Tool for Public Health Opinion to Give Insight Into Telemedicine: Twitter Poll Analysis by Josep Vidal-Alaball (10224958)

    Published 2019
    “…The polls were placed on the Twitter timeline of one of the authors, which had more than 9300 followers, and the account followers were asked to answer the poll and retweet it to reach a larger audience.</p><p><br></p><h3>Results:</h3><p dir="ltr">In a population where telemedicine was expected to enjoy big support, a significant number of Twitter users responding to the poll felt that telemedicine was not as good as traditional care.…”
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    RL-Based Adaptive UAV Swarm Formation and Clustering for Secure 6G Wireless Communications in Dynamic Dense Environments by Zain Ul Abideen Tariq (17984107)

    Published 2024
    “…Smaller swarms may lead to inadequate coverage, while larger swarms can cause inefficiency and higher energy consumption. …”
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    Scalable Nonparametric Supervised Learning for Streaming and Massive Data: Applications in Healthcare Monitoring and Credit Risk by Mohamed Chaouch (17983846)

    Published 2025
    “…Receiver Operating Characteristic (ROC) analysis shows superior Area Under the Curve (AUC) for the offline classifier but at a significant computational cost. A second study on larger database of credit scoring confirms these findings, showing that the online classifier achieves an F1-score of 96.40% and an accuracy of 93.08%, closely matching the performance of neural networks (96.46%, 93.22%) and boosting (96.51%, 93.31%). …”
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    Do near-bedtime usage of smartphones and problematic internet usage really impact sleep? A study based on objectively recorded usage data by Aftab Alam (5158601)

    Published 2023
    “…</p><h3> Results</h3><p dir="ltr">The multivariate linear regression showed that the increase in PIU (β = −0.231, p < 0.001) and smartphone usage two hours before sleep (β = −0.246, p < 0.001) led to decrease in sleep duration. Regarding sleep distraction, multivariate linear regression analysis revealed that two hours before sleep was a significant and positive predictor of sleep distraction (β = 0.197, p = 0.003), whereas PIU was not significant. …”
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    Relationship between Asymmetry Indices, Anthropometric Parameters, and Physical Fitness in Obese and Non-Obese High School Students by Monoem Haddad (5345357)

    Published 2022
    “…Grouping participants based on body fat percentage had a significant effect on the AIs (p < 0.05) of the CMJ and YBT. …”
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    Sleeping habits during COVID-19 induced confinement: A study from Jordan by Mahmoud A. Alomari (14780446)

    Published 2021
    “…In addition, gender (p < 0.001) is an independent predictor of nighttime sleeping. Being a male is associated with a “decrease” and being a female is associated with an “increase” in nighttime sleeping hours (p < 0.05). …”
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    Plasma volume variations in response to high intensity interval training in obese women: The influential role of menopausal status and age by Jabbour, Georges

    Published 2025
    “…On the other hand, menopause status was an independent predictor for PV decreases after warm-up (r = 0.33) as well after SCT (r = 0.38). …”
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    Mental health, burnout and resilience in community pharmacists during the COVID-19 pandemic: A cross-sectional study by Zeana, Samir AlKudsi

    Published 2022
    “…Fear of COVID-19 was a statistically significant and an independent predictor of depression, anxiety, and stress levels. …”
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    ‘The newest vital sign among pregnant women attending women wellness and research Centre in Qatar: a cross-sectional study’ by Sarah Naja (9954737)

    Published 2022
    “…However, uncontrolled glycaemia was the only significant predictor of inadequate health literacy through logistic regression. …”
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    Prognostic effects of cardiopulmonary resuscitation (CPR) start time and the interval between CPR to extracorporeal cardiopulmonary resuscitation (ECPR) on patient outcomes under e... by Amir Vahedian-Azimi (11177056)

    Published 2024
    “…However, there was no statistically significant connection between either the NFT or the LFT and the improvement of disability or neurologically favorable survival after 28 days of cardiac arrest.…”