Showing 101 - 120 results of 412 for search '(( significant case based ) OR ( significantly ((teer decrease) OR (linear decrease)) ))', query time: 0.12s Refine Results
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    Decision Support Model for Optimal Design of Wind Technologies Based Techno–Economic Approach by Fatima-Azahraa Bourhim (16876020)

    Published 2021
    “…<p dir="ltr">This paper aims to propose a practical decision support model for the optimal design of future wind turbines based on available wind potential on the site of interest. …”
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    Urban Geometry: The Effect of Height Diversity and Buildings Configuration on Thermal Performance and Cooling Load at Urban Scale. A Case Study in Dubai / UAE by SHAREEF, SUNDUS LUAY

    Published 2018
    “…The variation along the short direction of the urban block has a greater positive effect and the saving in cooling energy consumption reaches 4.6 %. The significant variation in building height along the short axis of the urban block provides more shading to the canyons and the adjacent buildings compared to the base case. …”
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    COVID-19 (SARS-CoV-2) outbreak monitoring using wastewater-based epidemiology in Qatar by Jayaprakash Saththasivam (14151669)

    Published 2021
    “…However, seroprevalence data from Qatar indicates that diagnosed infections represented only about 10% of actual cases. The model estimates were lower than the corrected numbers based on application of a static diagnosis ratio of 10% to the RT-qPCR identified cases, which is assumed to be due to the difficulty in quantifying RNA losses as a model term. …”
  10. 110

    Exploring the association between the consumption of beverages, fast foods, sweets, fats, and oils and the risk of gastric and pancreatic cancers: Findings from case–control study... by Reem Almahri (22224316)

    Published 2024
    “…Dietary information was collected from 588 participants, including 173 cases of GC, 101 cases of PC, and 314 controls, matched based on age, gender, employment, and marital status. …”
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    HER2-positive apocrine carcinoma of the breast: a population-based analysis of treatment and outcome by Faruk Skenderi (6616190)

    Published 2022
    “…<h2>Purpose</h2> <p>Apocrine carcinoma of the breast (APO) expresses HER2 in 30–50% of cases. This study explored the clinicopathological features and outcome of HER2+/APO and matched HER2+/NST cohort.…”
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    Clinical and radiographic outcome of a bioceramic sealer compared to a resin-based sealer: a retrospective study by Hamzah Ahmad Bani-Younes (22303513)

    Published 2025
    “…There were no significant differences in the success rate amongst treatment types, obturation techniques, quality of restoration and the sealer type. …”
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    Enhancing Liquefied Natural Gas supply chain robustness through digital twin-driven machine learning models: A special case of cryogenic heat exchanger by Mariem Mhiri (17991544)

    Published 2025
    “…Equipment failures pose significant risks, leading to production halts and quality degradation. …”
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    An Effective Fault Diagnosis Technique for Wind Energy Conversion Systems Based on an Improved Particle Swarm Optimization by Majdi Mansouri (16869885)

    Published 2022
    “…The basic idea behind this proposal is to use the Euclidean distance as a dissimilarity metric between observations in which a single observation is kept in case of redundancies. In addition, the proposed reduced PSO-NN (RPSO-NN) technique not only enhances the results in terms of accuracy but also provides a significant reduction in computation time and storage cost by reducing the size of the training dataset and removing irrelevant and redundant samples. …”
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    An ensemble-based machine learning model for predicting type 2 diabetes and its effect on bone health by Belqes Alsadi (18695031)

    Published 2024
    “…</p><h3>Methods</h3><p dir="ltr">In this study, we employed machine learning (ML) based case-control study on a diabetic cohort size of 1000 participants form Qatar Biobank to predict diabetes using clinical and bone health indicators from Dual Energy X-ray Absorptiometry (DXA) machines. …”
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    DiaNet v2 deep learning based method for diabetes diagnosis using retinal images by Hamada R. H. Al-Absi (16726299)

    Published 2024
    “…<p dir="ltr">Diabetes mellitus (DM) is a prevalent chronic metabolic disorder linked to increased morbidity and mortality. With a significant portion of cases remaining undiagnosed, particularly in the Middle East North Africa (MENA) region, more accurate and accessible diagnostic methods are essential. …”
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    CO, CO2, and SO2 detection based on functionalized graphene nanoribbons: First principles study by Ehab, Salih

    Published 2020
    “…After modification, the adsorption energy increased remarkably to −0.538 and −0.767 eV for the cases of AGNR-O-OH-CO2 and AGNR-O-OH-SO2, respectively. …”
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