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Showing 1 - 20 results of 152 for search '(( significant ((force decrease) OR (fold decrease)) ) OR ( significant predictions under ))', query time: 0.12s Refine Results
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    Hyperspectral-physiological based predictive model for transpiration in greenhouses under CO<sub>2</sub> enrichment by Ikhlas Ghiat (16932564)

    Published 2023
    “…The XGBoost proved to be the most efficient in predicting transpiration for cucumbers grown in greenhouses under CO<sub>2</sub> enriched environments.…”
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    The significance of ferrous ion oxidation during corrosion of carbon steel in aerated near-neutral aqueous solutions by Ke Wang (82395)

    Published 2023
    “…The results demonstrated that the inclusion of ferrous ion oxidation improved the accuracy of pH predictions in deep crevices under cathodic protection and Evan's drop exposure conditions, closely matching experimental observations. …”
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    Correlating process parameters to thrust forces and torque in the friction stir processing of AZ31B by Ammouri, Ali

    Published 2014
    “…The thrust force increased while the torque decreased as the tool rotational speed increased. …”
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    Deep Learning for the Accurate Prediction of Triggered Drug Delivery by Husseini, Ghaleb

    Published 2024
    “…The deep learning-based predictions significantly outperform linear predictions, proving the utility of advanced computational methods in drug delivery. …”
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    MOTIVATIONAL FACTORS UNDERLYING THE INTENTION OF HERBAL SOAP ENTREPRENEURS TO OBTAIN HALAL CERTIFICATE IN MALAYSIA by Mokhtar, Mazita

    Published 2022
    “…The goal of this study is to determine the motivation factors underlying Herbal soap entrepreneurs‘ intention to obtain Halal certificate in Malaysia. …”
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    Epigenetic analysis of Paget’s disease of bone identifies differentially methylated loci that predict disease status by Ilhame Diboun (3522413)

    Published 2021
    “…A multivariate classifier based on discovery samples was found to discriminate PDB cases and controls from the cross-validation with a sensitivity of 0.84, specificity of 0.81, and an area under curve of 92.8%. In conclusion, this study has shown for the first time that epigenetic factors contribute to the pathogenesis of PDB and may offer diagnostic markers for prediction of the disease.…”
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    Hepatitis serology predicts tumor and liver-disease characteristics but not prognosis after resection of hepatocellular carcinoma by Abdalla, Eddie

    Published 2004
    “…The objective of this study was to determine whether serologic evidence of HBV or HCV infection ("hepatitis serology") can predict underlying liver disease, tumor factors, and survival rates in patients with HCC. …”
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    Semi-analytical Model to Predict Dynamic Capillary Pressure–Saturation Relationship for Flows in Heterogeneous Porous Media by Harris Sajjad Rabbani (14489205)

    Published 2024
    “…We noticed a satisfactory match of the results predicted by the proposed semi-analytical model against the literature data. …”
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    Predictive modelling in times of public health emergencies: patients’ non-transport decisions during the COVID-19 pandemic by Hassan Farhat (9000509)

    Published 2025
    “…However, some patients declined transportation to hospital due to their fear of accessing healthcare facilities. This posed a significant risk to their health outcomes. This study aimed to utilise an extensive dataset, which included the period of the COVID-19 pandemic, in a modern Middle Eastern Emergency Medical Service to comprehend and predict the behaviour of non-transport decisions, a major multi-variable factor in pre-hospital emergency medicine. …”
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    Mitigating undercooling and overheating risk in existing desert schools under current and future climate using validated building simulation model by Mutasim Baba, Fuad

    Published 2023
    “…In Palestine and neighboring regions, buildings are constructed without insulation and mechanical heating and cooling systems, leading to significant thermal discomfort for occupants. To address this issue, the paper in troduces a robust methodology that utilizes a validated building simulation model (BSM) created based on hourly indoor air temperature to assess indoor thermal comfort during winter and summer seasons under both current and future climates. …”
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    The FASILA Score: A Novel Bio-Clinical Score to Predict Massive Blood Transfusion in Patients with Abdominal Trauma by Ayman El-Menyar (14150052)

    Published 2019
    “…FASILA was compared to other prediction scores using receiver operating characteristics and areas under the curves. …”
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    Prediction of transportation index for urban patterns in small and medium-sized Indian cities using hybrid RidgeGAN model by Thottolil, Rahisha

    Published 2023
    “…This study addresses the complexities of predicting road network density for small and medium-sized Indian cities that come under the Integrated Development of Small and Medium Towns (IDSMT) project at a national level. …”
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    Prediction of in-hospital mortality in patients with post traumatic brain injury using National Trauma Registry and Machine Learning Approach by Ahmad Abujaber (9100064)

    Published 2022
    “…<h3>Background</h3><p dir="ltr">The use of machine learning techniques to predict diseases outcomes has grown significantly in the last decade. …”
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    Identification of a Gene Panel Predictive of Triple-Negative Breast Cancer Response to Neoadjuvant Chemotherapy Employing Transcriptomic and Functional Validation by Radhakrishnan Vishnubalaji (3563306)

    Published 2022
    “…Orthogonal partial least squares-discriminant analysis (OPLS-DA) and receiver operating characteristic curve (ROC) analyses revealed significant predictive power for the identified gene panels with an area under the curve (AUC) of 0.75 for the validation cohort (n = 50) to discriminate RD from pCR. …”
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    Assessment of PULP score in predicting 30-day perforated duodenal ulcer morbidity, and comparison of its performance with Boey and ASA, a retrospective study by Tamer Saafan (14151819)

    Published 2019
    “…</p><p><br></p><h3>Conclusion</h3><p dir="ltr">PULP score had the largest AUC and was the only score to significantly predict post PDU repair 30-day morbidity.…”