Showing 1 - 20 results of 316 for search '(( significant predictably increased ) OR ( significant ((greater decrease) OR (mean decrease)) ))', query time: 0.12s Refine Results
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    Deep learning-based modeling of land use/land cover changes impact on land surface temperature in Greater Amman Municipality, Jordan (1980–2030) by Khaled F. Alkaraki (22051967)

    Published 2024
    “…The results of modeling LST showed an increase in average LST for all land cover types, with the most significant increases evident within urban areas and Rangelands/Sparsely vegetated areas. …”
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    Prediction of evaporation losses in wet cooling towers by QURESHI, BILAL AHMED

    Published 2020
    “…Accurately predicting evaporation losses is significant because water in cooling towers is cooled primarily through the evaporation of a portion of the circulating water, which causes the concentration of dissolved solids and other impurities to increase. …”
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    Role of nutritional indices in predicting outcomes of vascular surgery by Jabbour, Jana

    Published 2019
    “…Background Malnutrition is frequent among vascular surgery patients, given their age, chronic comorbidities, and poor functional status, and it is believed to increase their operative risk. We aimed to assess the combined use of recent significant weight loss (>10% body mass) and serum albumin levels as a nutritional status index to predict outcomes. …”
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    Tumor size predicts vascular invasion and histologic grade by Abdalla, Eddie

    Published 2005
    “…Vascular invasion and high histologic grade predict poor outcome after surgical resection or liver transplantation for hepatocellular carcinoma (HCC). …”
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    Prediction of EV Charging Behavior Using Machine Learning by Shahriar, Sakib

    Published 2021
    “…In both predictions, we demonstrate a significant improvement compared to previous work on the same dataset and we highlight the importance of traffic and weather information for charging behavior predictions.…”
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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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    Extended Preoperative Chemotherapy Does Not Improve Pathologic Response and Increases Postoperative Liver Insufficiency After Hepatic Resection for Colorectal Liver Metastases by Kishi, Yoji

    Published 2010
    “…Results Treatment consisting of ≥9 cycles was not associated with an increase in complete or major pathologic response (SD vs. …”
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    Factors Influencing the Adoption and Implementation of Predictive Maintenance Technologies in Organizations by Alnashwan, Mohammed

    Published 2023
    “…Significant research has explored the numerous advantages of predictive maintenance technologies. …”
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    Morphological changes in amblyopic eyes in choriocapillaris and Sattler’s layer in comparison to healthy eyes, and in retinal nerve fiber layer in comparison to fellow eyes through... by Masri, Oussama Samer

    Published 2021
    “…Results The method of measuring reflectivity is good to excellent reliability for all regions of interest except the fourth. The mean reflectivity of the choriocapillaris and Sattler’s layer in amblyopic eyes were significantly lower than in healthy eyes (p = 0.003 and p = 0.008 respectively). …”
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    Potential Biomarkers to Predict Acute Ischemic Stroke in Type 2 Diabetes by Abu Saleh Md Moin (6189512)

    Published 2021
    “…PPBP and THBS1 tended to increase at hypoglycemia in both cohorts, though reached significance only in controls (p < 0.05), returning to BL levels post-hypoglycemia. …”
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    Prediction of stroke-associated hospital-acquired pneumonia: Machine learning approach by Abujaber, Ahmad A.

    Published 2025
    “…BackgroundStroke-associated Hospital Acquired Pneumonia (HAP) significantly impacts patient outcomes. This study explores the utility of machine learning models in predicting HAP in stroke patients, leveraging national registry data and SHapley Additive exPlanations (SHAP) analysis to identify key predictive factors. …”
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