Chemotherapy Regimen Predicts Steatohepatitis and an Increase in 90-Day Mortality After Surgery for Hepatic Colorectal Metastases by Vauthey, Jean-Nicolas

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HbA1c over 8.5% is not predictive of increased infection rate following penile prosthesis implant surgery in diabetic patients with erectile dysfunction by Raidh Talib (14779198)

Awareness and education are the most significant elements for safe driving behavior and better life quality by Amal Abdul Aziz Sabri (19772844)

Serum Vitamin D Concentration ≥75 nmol/L Is Related to Decreased Cardiometabolic and Inflammatory Biomarkers, Metabolic Syndrome, and Diabetes; and Increased Cardiorespiratory Fitn... by Vijay Ganji (8710491)

Combining Saliency with Prediction for Endoscopic Diagnosis by Rezk, Mahmoud

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Prediction of evaporation losses in wet cooling towers by QURESHI, BILAL AHMED

“…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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Auto-immunoproteomics analysis of COVID-19 ICU patients revealed increased levels of autoantibodies related to the male reproductive system by Frank Schmidt (207186)

Extended Preoperative Chemotherapy Does Not Improve Pathologic Response and Increases Postoperative Liver Insufficiency After Hepatic Resection for Colorectal Liver Metastases by Kishi, Yoji

“…Results Treatment consisting of ≥9 cycles was not associated with an increase in complete or major pathologic response (SD vs. …”
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Prediction of EV Charging Behavior Using Machine Learning by Shahriar, Sakib

“…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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Role of nutritional indices in predicting outcomes of vascular surgery by Jabbour, Jana

“…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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A Comprehensive Review on Membrane Fouling: Mathematical Modelling, Prediction, Diagnosis, and Mitigation by AlSawaftah, Nour Majdi

“…Membrane-based separation has gained increased popularity over the past few decades, particularly reverse osmosis (RO). …”
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Prediction of the Backwater Level Due to Bridge Constriction in Waterways by Assar, Kimia Haji Amou

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Deep Learning for the Accurate Prediction of Triggered Drug Delivery by Husseini, Ghaleb

“…The deep learning-based predictions significantly outperform linear predictions, proving the utility of advanced computational methods in drug delivery. …”
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Tumor size predicts vascular invasion and histologic grade by Abdalla, Eddie

“…Vascular invasion and high histologic grade predict poor outcome after surgical resection or liver transplantation for hepatocellular carcinoma (HCC). …”
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Factors Influencing the Adoption and Implementation of Predictive Maintenance Technologies in Organizations by Alnashwan, Mohammed

“…Significant research has explored the numerous advantages of predictive maintenance technologies. …”
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Forecasting model to predict project success based on the contractors’ characteristics by AlSuwaidi, Khalid Waleed Rashid Deemas

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Potential Biomarkers to Predict Acute Ischemic Stroke in Type 2 Diabetes by Abu Saleh Md Moin (6189512)

“…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. …”

Prediction of stroke-associated hospital-acquired pneumonia: Machine learning approach by Abujaber, Ahmad A.

“…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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AI-based remaining useful life prediction and modelling of seawater desalination membranes by Al Ali, Fajer

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ML-Based Handover Prediction and AP Selection in Cognitive Wi-Fi Networks by Muhammad Asif Khan (7367468)

“…The results report significant improvement in network performance by applying the proposed schemes. …”