Showing 1 - 20 results of 233 for search '(( significantly predicted increases ) OR ( significantly ((teer decrease) OR (linear decrease)) ))', query time: 0.12s Refine Results
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    Mixed precision iterative refinement with adaptive precision sparse approximate inverse preconditioning by Noaman Khan (19810050)

    Published 2025
    “…<p dir="ltr">Hardware trends have motivated the development of mixed precision algorithms in numerical linear algebra, which aim to decrease runtime while maintaining acceptable accuracy. …”
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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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    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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    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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    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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    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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    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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    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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    Serum 25-hydroxyvitamin D concentrations are inversely associated with body adiposity measurements but the association with bone mass is non-linear in postmenopausal women by Vijay, Ganji

    Published 2021
    “…In a continuous variable analysis, the association between 25(OH)D and bone mass was significant, non-linear, inverse ‘U’. In conclusion, serum 25-hydroxyvitamin D was inversely associated with adiposity measures and non-linearly associated to bone mass in postmenopausal Qatari women.…”
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    Serum 25-hydroxyvitamin D concentrations are inversely associated with body adiposity measurements but the association with bone mass is non-linear in postmenopausal women by Vijay Ganji (8710491)

    Published 2021
    “…In a continuous variable analysis, the association between 25(OH)D and bone mass was significant, non-linear, inverse ‘U’. In conclusion, serum 25-hydroxyvitamin D was inversely associated with adiposity measures and non-linearly associated to bone mass in postmenopausal Qatari women.…”
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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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    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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    A Comprehensive Review on Membrane Fouling: Mathematical Modelling, Prediction, Diagnosis, and Mitigation by AlSawaftah, Nour Majdi

    Published 2021
    “…Membrane-based separation has gained increased popularity over the past few decades, particularly reverse osmosis (RO). …”
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