Florida's Citrus Canker Eradication Program (CCEP): Annual Economic Impact on Florida's Processed Orange Industry by Thomas H. Spreen, Marisa L. Zansler, Ronald P. Muraro

“… In the analysis presented in this paper, the benefits of the CCEP are predicted through an analysis of the Florida citrus industry, under the scenario that citrus canker has become established. …”
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Reducing maladaptive behavior in neuropsychiatric disorders using network modification by Nicholas M. Timme

“…Furthermore, we found that it was possible to predict effective treatments with limited knowledge of the model and that information about neural activity during certain types of trials was more helpful in predicting treatment than information about model parameters. …”
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A software tool for applying Bayes' theorem in medical diagnostics by Theodora Chatzimichail, Aristides T. Hatjimihail

“…Abstract Background In medical diagnostics, estimating post-test or posterior probabilities for disease, positive and negative predictive values, and their associated uncertainty is essential for patient care. …”
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Understanding Experimental LCMV Infection of Mice: The Role of Mathematical Models by Gennady Bocharov, Jordi Argilaguet, Andreas Meyerhans

“…Such predictions can only rely upon quantitative mathematical models. …”
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Analysing the effect of physical exercise on social anxiety in college students using a chained mediation model by Yong Jiang, Beier Zhang, Hongbo Zhao

“…Physical exercise can significantly predict college students’ social anxiety through the independent mediation effect of mindfulness and mental toughness and the chain mediation effect of mindfulness and mental toughness.…”
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The unskilled-and-unaware problem and performance feedback in monotonous, easily accustomed, and repetitive work by Yasuhiro Nakamoto, Tomoharu Mori

“…Abstract The current research examined whether people predict their performance on monotonous, easily accustomed, and repetitive (MEAR) tasks accurately and confirm the effects of performance feedback on their MEAR work predictions. …”
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A model to quantify fatigue crack growth by cyclic damage accumulation calculated by strip-yield procedures by Samuel Elias Ferreira, Jaime Tupiassú Pinho de Castro, Marco Antonio Meggiolaro

“…Elber's hypothesis that  Keff can be assumed as the driving force for fatigue crack growth (FCG) is the basis for strip-yield models widely used to predict fatigue lives under variable amplitude loads, although it does not explain all load sequence effects observed in practice. …”
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A Bayesian Neural Network-Based Method to Calibrate Microscopic Traffic Simulators by Qinqin Chen, Anning Ni, Chunqin Zhang, Jinghui Wang, Guangnian Xiao, Cenxin Yu

“…We use BNN with probability distributions on the weights to quickly predict the simulation results according to the inputs of the parameters to be calibrated. …”
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Can Peak Expiratory Flow Measurements Differentiate Chronic Obstructive Pulmonary Disease from Congestive Heart Failure? by John E. Gough, Kori L. Brewer

“…A PEFR was measured, values were compared to predicted average, and a percentage was calculated. …”
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A graph backdoor detection method for data collection scenarios by Xiaogang Xing, Ming Xu, Yujing Bai, Dongdong Yang

“…Specifically, in the backdoor model, the backdoor samples with modified labels are predicted as the target class. However, in the clean model, they are predicted as the ground-truth labels since the clean model remains unaffected by the backdoor. …”
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Fusion-Learning-Based Optimization: A Modified Metaheuristic Method for Lightweight High-Performance Concrete Design by Ghodrat Rahchamani, Seyed Mojtaba Movahedifar, Amin Honarbakhsh

“…It is possible to accurately predict the quality of concrete and the amount of raw materials used using machine learning-enhanced methods. …”
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First-order analysis of slip flow for micro and nanoscale applications by Duncan A. Lockerby

“…The technique, which exploits the reciprocal theorem, can generate first-order predictions of the impact of Navier or Maxwell slip boundary conditions on surface moments of the traction force (e.g. on drag and torque). …”
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Human mobility is well described by closed-form gravity-like models learned automatically from data by Oriol Cabanas-Tirapu, Lluís Danús, Esteban Moro, Marta Sales-Pardo, Roger Guimerà

“…At one end of the modeling spectrum we have gravity models, which are easy to interpret but provide modestly accurate predictions of flows. At the other end, we have machine learning models, with tens of features and thousands of parameters, which predict mobility more accurately than gravity models but do not provide clear insights on human behavior. …”
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Multiple linear regression parameters for determining fatigue-based entropy characterisation of magnesium alloy by M.A. Fauthan, S. Abdullah, M.F. Abdullah, I.F. Mohamed

“…This relationship was developed by predicting a complete entropy generation using a statistical approach, where a constant amplitude loading was applied to evaluate the fatigue life. …”
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DIAGNOSTIC ACCURACY OF CONTRAST–ENHANCED HIGHRESOLUTION MAGNETIC RESONANCE IMAGING (MRI) FORTHE DETECTION OF RETINOBLASTOMA by Muhammad Faisal

“…True positive cases were 34 (68%) and false positive cases were 3 (6%). Positive predictive value was 91.89%, negative predictive value 92.31% and the Diagnostic accuracy was found to be 92%. …”
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Determinants and Academic Performance: The Role of Prerequisites in University Achievement by Maria Giulia Ballatore, Anita Tabacco

“…Based on a sample of 3,739 students, the research evaluates the predictive validity of the entrance exam (Test In Laib - TIL) and the national state exam (Esame di Stato – EdS), considering variables such as gender, geographical origin, and scholastic background. …”
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Diagnostic Accuracy of MDCT Coronary Angiography in Patients with Ischemic Heart Disease by Arti Kumari, Suresh Kumar Toppo, Prakash Kumar, Rajeev Kumar Ranjan, Anima R. Xalxo, Nisha Rai, Harsha Kaur

“…The sensitivity, specificity, positive predictive value, and negative predictive value of the multidetector computed tomography were 98.4, 91.7, 95, and 97.05%. …”
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Developing a New Approach to Temperature and pH Effects in the Modelling of the Adsorption Isotherms of Benzoic Acid onto Activated Carbon by Sohrab Ali Ghorbanian, Hossein Abolghasemi, Saeid Reza Radpour, Mohammad Ali Mousavian

“…Two models for predicting the effects of temperature and pH on isotherm curves are presented in this paper. …”
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Moving Bed Gasification of Low Rank Alaska Coal by Mandar Kulkarni, Rajive Ganguli

“…The model is useful for predicting performance of the Usibelli coal in a moving bed gasifier using different operating parameters.…”
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Computer Axial Tomography and evoked potentials as predictors of clinical improvement in cranioencephalic trauma. by José Ramón Tejera del Valle, Florencio Pons Moscoso, Joaquín Aguilar Trujillo, Yarima López Puig, José Arteaga Bermúdez

“…<p><strong>Background:</strong> Mortality predictors in cranioencephalic trauma reveal mortality chances or possible severe sequels; but they do not predict rehabilitation possibilities. <br /><strong>Objective: </strong>To assess the effectiveness of Computer Axial Tomography and evoked potentials to predict clinical improvement six moths after cranioencephalic trauma. …”
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