A Data-Driven Methodology for Obtaining the Stress–Strain Curves of Metallic Materials Using Discrete Indentation Tests by Nitzan Rom, Elad Priel

“…The framework consists of a novel model for predicting the hardening curve, the classical Tabor model for predicting the yield stress for materials with yield stress lower than 100 MPa, and an XGBoost model for predicting the yield stress for metals with yield stress higher than 100 MPa. …”
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Role of Dobutamine Stress Echocardiography in the Evaluation of Patients Undergoing Noncardiac Surgeries in the Contemporary Era by Tanu Chaudhary, Manish Bansal, Ravi R. Kasliwal

“…A Lee’s score value >3 had a sensitivity of 68.4% (95% confidence interval [CI] - 43.5–87.4), specificity of 97.6% (95% CI - 96.6–98.4), positive predictive value of 30.2% (95% CI - 21.4–40.9), and negative predictive value of 99.5% (95% CI - 99.1–99.8) for predicting abnormal DSE. …”
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Application of Gene Expression Programming to Evaluate Strength Characteristics of Hydrated-Lime-Activated Rice Husk Ash-Treated Expansive Soil by Kennedy C. Onyelowe, Fazal E. Jalal, Michael E. Onyia, Ifeanyichukwu C. Onuoha, George U. Alaneme

“…The predicted models’ performance has shown that GEP soft computing has predicted models that can be used in the design of CBR, UCS, and R value for soils being used as foundation materials and being treated with admixtures as a binding component.…”
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Machine Learning Based Method for Insurance Fraud Detection on Class Imbalance Datasets With Missing Values by Ahmed A. Khalil, Zaiming Liu, Ahmed Fathalla, Ahmed Ali, Ahmad Salah

“…As a result, accurately predicting and detecting insurance fraud has become a crucial challenge for insurers. …”
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Development and verification of prognostic nomogram for extraskeletal Ewing's sarcoma based on the SEER database by Feipeng Xiao, Weizhen Wang

“…Background: Extraskeletal Ewing's sarcoma (EES) is a rare tumor, and there is currently no predictive model for overall survival of EES patients. …”
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Cavitation Effects on the Stability of a Submerged Journal Bearing by Jerzy T. Sawicki, T. V. V. L. N. Rao

“…At steady state, the angular extent of cavitation region predicted by the present approach is higher than that predicted by Elrod's model and the limit cycle journal transient response using the present approach predicts higher eccentricity ratios.…”
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A Method for Cavity Scale Estimation Based on Ground-Penetrating Radar (GPR) Explorations: An Experimental Study by Jeong-Jun Park, Yoonseok Chung, Gigwon Hong

“…It was confirmed that the soil depth of the predicted cavity and the identified cavity was similar, but the predicted cavity scales by GPR exploration overestimated the longitudinal and cross-sectional widths compared with the identified cavity scales. …”
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Effect of Concrete Age and Creep on the Behavior of Concrete-Filled Steel Tube Columns by HaiYang Wang, XiaoXiong Zha, Wei Feng

“…Then, the proposed formulas are validated independently by comparing their predictions with existing test results performed by other researchers. …”
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Prognostic Factors for Visual Outcome in Traumatic Cataract Patients by Ying Qi, Yan F. Zhang, Yu Zhu, Ming G. Wan, Shan S. Du, Zhen Z. Yue

“…The specificity of OTS to predict the final VA at 1/200-19/200 and 20/200-20/50 was 100%. …”
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Clinical Applications of Machine Learning by Nadayca Mateussi, PhD, Michael P. Rogers, MD, Emily A. Grimsley, MD, Meagan Read, MD, Rajavi Parikh, DO, Ricardo Pietrobon, MD, PhD, Paul C. Kuo, MD

“…This review introduces interpretable predictive machine learning approaches, natural language processing, image recognition, and reinforcement learning methodologies to familiarize end users. …”
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Loading rate, geometry, and damage state influence vertical extraction biomechanics in an ex vivo swine dental model by Timothy J. Gadzella, Karyne N. Rabey, Michael R. Doschak, Lindsey Westover, Owen Addison, Owen Addison, Dan L. Romanyk, Dan L. Romanyk

“…The results of these experiments suggest that the axisymmetric FEA model is a powerful tool for predicting a range of conditions and dental complex geometries. …”
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Utility of Visceral Adiposity Index and Lipid Accumulation Products to Define Metabolically-Unhealthy Polycystic Ovary Syndrome in Asian Indian Women - A Cross Sectional Study by R. A. Shreenidhi, Reeta Mahey, Monika Rajput, Rohitha Cheluvaraju, Ashish D. Upadhyay, Jai Bhagwan Sharma, Garima Kachhawa, Neerja Bhatla

“…VAI has a positive predictive value of 61.7% (95% CI [23.7%–40.3%]) and a negative predictive value of 95% (95% CI [88%–99.1%]). …”
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Seven Immune-Related Genes’ Prognostic Value and Correlation with Treatment Outcome in Head and Neck Squamous Cell Carcinoma by Rui Mu, Yuehong Shen, Chuanbin Guo, Xinyun Zhang, Hongyu Yang, Huijun Yang

“…Since immunotherapy effectively improves HNSCC patients’ survival status, it is important to continuously explore new immune-related predictive factors to accurately predict the immune landscape and clinical outcomes of individuals suffering from HNSCC. …”
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A Novel Method to Forecast Nitrate Concentration Levels in Irrigation Areas for Sustainable Agriculture by Halil Karahan, Müge Erkan Can

“…In Scenario I, random values from the dataset were predicted, while in Scenario II, predictions were made as a time series, and model results were compared with measured values for both scenarios. …”
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Impact of Vein Wall Hyperelasticity and Blood Flow Turbulence on Hemodynamic Parameters in the Inferior Vena Cava with a Filter by Jafar Moradicheghamahi, Debkalpa Goswami

“…While the predictions for OSI and TAWSS were closely aligned for both laminar and turbulent flows, divergences in RRT predictions became apparent, especially in scenarios with very large clots.…”
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The value of a metabolic and immune-related gene signature and adjuvant therapeutic response in pancreatic cancer by Danlei Ni, Jiayi Wu, Jingjing Pan, Yajing Liang, Zihui Xu, Zhiying Yan, Kequn Xu, Feifei Wei

“…A genetic prognostic model was developed via univariable Cox regression analysis on a training cohort. Predictive accuracy was assessed using Kaplan-Meier (K-M) curves, calibration plots, and ROC curves. …”
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Adsorption, X-ray diffraction, photoelectron, and atomic emission spectroscopy benchmark studies for the eighth industrial fluid properties simulation challenge by Richard B Ross, David B Aeschliman, Riaz Ahmad, John K Brennan, Myles L Brostrom, Kevin A Frankel, Jonathan D Moore, Joshua D Moore, Raymond D Mountain, Derrick M Poirier, Matthias Thommes, Vincent K Shen, Nathan E Schultz, Daniel W Siderius, Kenneth D Smith

“…The primary goal of the eighth industrial fluid properties simulation challenge was to test the ability of molecular simulation methods to predict the adsorption of organic adsorbates in activated carbon materials. …”
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Stress Intensity Factor Equations for the Evolution of Surface and Corner Cracks to Through Cracks by Antonio Carlos de Oliveira Miranda, Rafael Marques, Marco Antonio Meggiolaro, Jaime Tupiass� Pinho de Castro

“…Moreover, fatigue life predictions based on this improved model are compared with experimental results obtained with these two materials.…”
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Examining Dent Formation Caused by Hailstone Impact by Mehmet E. Uz

“…The expression is not able to predict the depth of dents smaller than 0.75 mm and cannot predict whether the denting will occur or not. …”
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Modeling and estimation of physiochemical properties of cancer drugs using entropy measures by Qasem M. Tawhari, Muhammad Naeem, Abdul Rauf, Muhammad Kamran Siddiqui, Oladele Oyelakin

“…Entropy measures are used to predict physical and chemical properties of drugs. …”
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