Using Mathematical Modeling as a Resource in Clinical Trials by Evans K. Afenya

“…Areas of commonality between the model predictions and the clinical findings are investigated as a way of further validating the model predictions and also establishing mathematical foundations for the clinical studies. …”
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Hierarchical and Distributed Eco-Driving Approach for Mixed Vehicle Clusters at Unsignalized Intersections by Jie Yu, Yugong Luo, Weiwei Kong, Fachao Jiang

“…Furthermore, the CFDL integral terminal sliding mode predictive control (CFDL-ITSMPC) scheme is utilized to predict the time-varying driving speed of HDVs, and then, the CFDL predictive control (CFDL-PC) scheme is utilized to predict the expected control variables of ICVs formation. …”
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The Sex Factor: Epidemiology and Management of Chronic Obstructive Pulmonary Disease in British Columbia by Pat G Camp, Munaza Chaudhry, Howard Platt, Michael Roch, Jeremy Road, Donald Sin, Robert D Levy

“…Whether these predictions have been realized is unknown.…”
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Constructing a machine learning model for systemic infection after kidney stone surgery based on CT values by Jiaxin Li, Yao Du, Gaoming Huang, Yawei Huang, Xiaoqing Xi, Zhenfeng Ye

“…The eXtreme Gradient Boosting (XGBoost) model was the best performer [AUC: 0.858; sensitivity: 0.877; specificity: 0.981; accuracy: 0.841; positive predictive value: 0.629; negative predictive value: 0.851]. …”
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Estimating the Relative Risks of Spatial Clusters Using a Predictor–Corrector Method by Majid Bani-Yaghoub, Kamel Rekab, Julia Pluta, Said Tabharit

“…The predictive accuracies ranged from moderate to high, indicating the potential applicability of this method for predictive disease analytic and future pandemic preparedness.…”
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Strong Emergence Arising from Weak Emergence by Thomas Schmickl

“…Predictions of emergent phenomena, appearing on the macroscopic layer of a complex system, can fail if they are made by a microscopic model. …”
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Study of Reaction Mechanisms in α + 69Ga reaction at ≈10 – 50 MeV by F. K. Amanuel

“…The theoretical model predictions were based on the statistical code COMPLETE, and the predicted results were compared and discussed with existing experimental data. …”
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Study of Reaction Mechanisms in α + 69Ga reaction at ≈10 – 50 MeV by F. K. Amanuel

“…The theoretical model predictions were based on the statistical code COMPLETE, and the predicted results were compared and discussed with existing experimental data. …”
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Accounting for racial bias and social determinants of health in a model of hypertension control by Yang Hu, Nicholas Cordella, Rebecca G. Mishuris, Ioannis Ch. Paschalidis

“…Results The predictive model of high SBP reached an Area Under the Receiver Operating Characteristic Curve of 74.49% ± 0.23%. …”
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Low Complexity, Low Probability Patterns and Consequences for Algorithmic Probability Applications by Mohammad Alaskandarani, Kamaludin Dingle

“…Although quantitatively fairly accurate, a main weakness of these predictions is that they are given as an upper bound on the probability of a pattern, but many low complexity, low probability patterns occur, for which the upper bound has little predictive value. …”
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Perceptions of social interactions and second language willingness to communicate in different activities by He Han, Bing Li

“…Abstract This study examined whether students’ perceived social interactions within different learning activities predicted their willingness to communicate (WTC) in second language (L2) classrooms. …”
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Metacognitive Beliefs in Alexithymic Individuals by Zekiye Celikbas, Sedat Batmaz, Ufuk Bal, Esma Akpinar Aslan

“…Difficulty identifying feelings was predictive of negative beliefs about uncontrollability and danger; difficulty describing feelings was predictive of cognitive self-consciousness; externally-oriented thinking was predictive of positive beliefs about worry; and negative beliefs about uncontrollability and danger and cognitive self-consciousness were predictive of alexithymia. …”
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Classification of the Crystal Structures of Orthosilicate Cathode Materials for Li-Ion Batteries by Artificial Neural Networks by Mookala Premasudha, Bhumi Reddy Srinivasulu Reddy, Kwon-Koo Cho, Ahn Hyo-Jun, Jae-Kyung Sung, Nagireddy Gari Subba Reddy

“…The model demonstrated strong predictive capability, with only seven misclassifications from 267 datasets, highlighting its robustness and reliability in predicting the crystal structure of orthosilicate cathodes. …”
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Detection of Peripheral Ventilation Inhomogeneity in Smokers by DJ Cotton, JT Mink, BL Graham

“…Although, in some studies, the test predicts smokers at risk of developing chronic airflow limitation, its wide variability partly explains its poor positive predictive value. …”
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Human Resource Practices and Employee Retention in Local Governments in Uganda: A Case of Kabale District Local Government. by Baingana, Alex

“…From the linear regression analysis, it was revealed that from the linear regression, it was revealed that recruitment and selection predicted employee retention by only 0.08% with insignificant predictive potential at (Beta = .026, p=.781>0.05), development and training predicted employee retention by only 10.1% with insignificant predictive potential at (Beta = .159, p=.086>0.05) and compensation and benefits predicted employee retention by only 17.8% with significant predicator at (Beta = .430, p=.000<0.05). …”
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Human Resource Practices and Employee Retention in Local Governments in Uganda: A Case of Kabale District Local Government. by Baingana, Alex

“…From the linear regression analysis, it was revealed that from the linear regression, it was revealed that recruitment and selection predicted employee retention by only 0.08% with insignificant predictive potential at (Beta = .026, p=.781>0.05), development and training predicted employee retention by only 10.1% with insignificant predictive potential at (Beta = .159, p=.086>0.05) and compensation and benefits predicted employee retention by only 17.8% with significant predicator at (Beta = .430, p=.000<0.05). …”
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Value of combining lung ultrasound score with oxygenation and functional indices in determining weaning timing for critically ill pediatric patients by Ximeng Hao, Hongnian Duan, Qiushuang Li, Dan Wang, Xin Yin, Zhiyan Di, Shanshan Du

“…An LUS score ≥ 15.5 was identified as the optimal cutoff for predicting weaning failure, with superior predictive power compared to RSBI and P/F ratios. …”
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Comprehensive Evaluation of Inflammatory Biomarkers in Cervical Cancer Treated with Chemoradiotherapy by Timur Koca, Nurcihan Gocen Vardar, Rahmi Atıl Aksoy, Aylin Fidan Korcum

“…Multivariate analysis revealed that only the PIV significantly predicted PFS (HR 3.05, 95% CI 1.0 to 9.3, <i>p</i> = 0.04). …”
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A multi-criteria optimization for a radial heat sink with semicircular fins based on the design of experiments approach by Yousif Hashim Hussein, Tahseen Ahmad Tahseen, Abdulrazzak Akroot, M.A.H. Mithu, Ammar M. Abdulateef

“…The proposed model demonstrated remarkable accuracy in predicting the Nusselt number, with values of R2, predicted R2, adjusted R2, and CV at 98.15 %, 97.08 %, 94.87 %, and 2.44 %, respectively. …”
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Postpartum changes in maternal physiology and milk composition: a comprehensive database for developing lactation physiologically-based pharmacokinetic models by Neel Deferm, Neel Deferm, Jean Dinh, Jean Dinh, Amita Pansari, Masoud Jamei, Khaled Abduljalil

“…These functions can be integrated into lactation PBPK models to increase their predictive power and better inform medication efficacy and safety for breastfeeding women.…”
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