Showing 161 - 180 results of 1,123 for search '(( significant 3 based ) OR ( significant ((step decrease) OR (linear decrease)) ))', query time: 0.14s Refine Results
  1. 161

    Adherence and retention to the self-managed community-based Step Into Health program in Qatar (2012–2019) by Bryna C. R. Chrismas (15862894)

    Published 2022
    “…<h3>Purpose</h3><p dir="ltr">Investigate adherence and retention to the “Step Into Health (SIH)” initiative (www.stepintohealth.qa [website access only available from within the State of Qatar]), a Qatari self-managed community-based health program, from 2012 to 2019. …”
  2. 162

    TiO<sub>2</sub> encrusted MXene as a High-Performance anode material for Li-ion batteries by Hanan Abdurehman Tariq (17128909)

    Published 2022
    “…Here, the synthesis of novel TiO<sub>2</sub> decorated Ti<sub>3</sub>C-MXene anode for LIBs using in-situ hydrolysis is discussed. …”
  3. 163

    Additive manufacturing for vernacular architecture using local earthen soil and bio-waste materials by Arslan Yousaf (18021805)

    Published 2025
    “…Mechanical testing revealed a maximum compressive strength of 7.7 MPa for mold-casted samples and 6.8 MPa for 3D-printed samples after 28 days. Based on these results, the optimum composition was used to study 3DP design flexibility. …”
  4. 164
  5. 165

    The utility of a deep learning-based approach in Her-2/neu assessment in breast cancer by Saidul Kabir (15302407)

    Published 2024
    “…The random forest classifier achieved an accuracy of 88% on four score classification (0, 1+, 2 + and 3 + ) and 96% on three score classification (0/1+, 2 + and 3 + ). …”
  6. 166

    The utility of a deep learning-based approach in Her-2/neu assessment in breast cancer by Saidul, Kabir

    Published 2023
    “…The random forest classifier achieved an accuracy of 88% on four score classification (0, 1+, 2 + and 3 + ) and 96% on three score classification (0/1+, 2 + and 3 + ). …”
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  7. 167

    Efficient experimental design for uncertainty reduction in gene regulatory networks by Roozbeh Dehghannasiri (5725805)

    Published 2015
    “…Under such a strategy, the experiments with high priority are suggested to be conducted first.</p><h3>Results</h3><p dir="ltr">The authors have already proposed an optimal experimental design method based upon the objective for modeling gene regulatory networks, such as deriving therapeutic interventions. …”
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    Choline chloride based natural deep eutectic solvent for destabilization and separation of stable colloidal dispersions by Dana I.M. Al-Risheq (16932606)

    Published 2021
    “…Hence, the aim of this paper is to introduce a new green and cheap choline chloride (ChCl) based natural deep eutectic solvent (NADES) as a coagulant for clay-based dispersions which are known to be a highly stable colloidal systems. …”
  10. 170

    Metabolomics-based prediction model for diabetes: A comprehensive analysis of biomarkers and machine learning approaches by Doaa Farid (22565300)

    Published 2025
    “…<h3>Aims</h3><p dir="ltr">To develop a prediction model for diabetes using metabolomics data and to evaluate various machine learning approaches and identify the most effective framework for disease prediction.…”
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    An Energy-Water-Food Nexus-based Decision-making Framework to Guide National Priorities in Qatar by Sarah Namany (17268922)

    Published 2021
    “…Considering sectorial level performances, results of this work have unveiled the vulnerability of the three nexus sectors, particularly water and food, faced to internal and external risks. …”
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    Multi-IsnadSet MIS for Sahih Muslim Hadith with chain of narrators, based on multiple ISNAD by Aziz Mehmood Farooqi (20748788)

    Published 2024
    “…<p>In the Islamic domain, Hadiths hold significant importance, standing as crucial texts following the Holy Quran. …”
  17. 177

    HER2-positive apocrine carcinoma of the breast: a population-based analysis of treatment and outcome by Faruk Skenderi (6616190)

    Published 2022
    “…HER2+/SR−/APO had a significantly lower histological grade than the HER2+/SR−/NST (p < 0.001). …”
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    A machine learning-based optimization approach for pre-copy live virtual machine migration by Raseena M. Haris (17773470)

    Published 2023
    “…To address the issue, this paper proposes a machine learning-based method to optimize pre-copy migration. It has mainly three stages (i) Feature selection (ii) Model generation and (iii) Application of the proposed model in pre-copy migration. …”