Modification of the Cardiac Renal Angina Index for Predicting Adverse Kidney Events After Pediatric Cardiac Surgery by Katherine F. Melink, Natalja L. Stanski, Emily Gorrell, Jeffrey A. Alten, Kevin A. Pettit, Stuart L. Goldstein, Huaiyu Zang, Nicholas J. Ollberding, Rajit K. Basu, Shina Menon, Megan SooHoo, Katja M. Gist

“…The performance of including urine neutrophil gelatinase–associated lipocalin into the nomogram was compared with the model constructed for cRAI alone. Results Of 476 patients, 129 (27%) experienced the composite outcome, and 191 (40%) were cRAI positive. …”
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Phase Stability and Transitions in High-Entropy Alloys: Insights from Lattice Gas Models, Computational Simulations, and Experimental Validation by Łukasz Łach

“…Furthermore, advances in data-driven methodologies facilitate high-throughput exploration of HEA compositions, accelerating the discovery of alloys with optimized phase stability and superior mechanical performance. …”
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Finite Element Modeling of RC Beams Produced with Low-Strength Concrete and Strengthened for Bending and Shear with CFRP and GFRP by Wael Mansur Hussien Aldhabir, Ali Sarıbıyık, Yusuf Sümer

“…Furthermore, the findings underline the need for refined FEM models to better capture inclined fiber orientations and optimize structural reinforcement strategies.…”
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Trait-Based Modeling of Surface Cooling Dynamics in Olive Fruit Using Thermal Imaging and Mixed-Effects Analysis by Eddy Plasquy, José M. Garcia, Maria C. Florido, Anneleen Verhasselt

“…Surface temperature was recorded using infrared thermal imaging, and morphological and compositional traits were quantified. Temperature decay was modeled using Newton’s Law of Cooling, extended with a quadratic time term to capture nonlinear trajse thectories. …”
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Numerical Modelling and Simulation of the In-Plane Response of a Three-Storey Masonry-Infilled RC Frame Retrofitted with TRM by Christiana A. Filippou, Nicholas C. Kyriakides, Christis Z. Chrysostomou

“…The calibration of the models was based on the experimental results or inverse fitting based on optimizing the simulation of the response. …”
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Psychometric analysis of work organization and fatigue instruments and their relationship with occupational accidents: a structural equation modeling approach by Mohammad Khandan, Ali Montazeri, Ali Ebrahimi

“…Structural equation modeling was employed to analyze the data, while instrument validity and reliability were assessed through Cronbach’s alpha, composite reliability, and average variance extracted (AVE). …”
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Load Transfer Model Based on Similitude Principle and Numerical Analysis of Reinforcement Effect of Pile Side Compaction Grouting by WANG Yansheng, LI Zhaofeng, ZHANG Ming, LIN Chunjin, LYU Sizhong, YAO Wang

“…Therefore, this load transfer model accurately predicted the effectiveness of lateral grouting reinforcement in existing pile foundations. …”
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Predicting the Traffic Crashes of Taxi Drivers by Applying the Non-Linear Learning of ANFIS-PSO with M5 Model Tree by E. Abbasi, M. Hadji Hosseinlou

“…A novel technique is been developed by applying nonlinear-learning of composition model of Adaptive Neuro-Fuzzy Inference Systems (ANFIS) and Particle Swarm Optimization (PSO) with M5 model tree. …”
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CALPHAD-aided design and model prediction achieve the strength and quench sensitivity balance of Al-Zn-Mg-Cu alloys by Xiyu He, Yuankang Xie, Chaojie Liang, Xiaobin Guo, Yunlai Deng, Yunqiang Fan

“…Balancing strength and quench sensitivity in Al-Zn-Mg-Cu alloys through traditional composition optimization is difficult. This work proposes a novel approach to control the Zn/Mg ratio (RZn/Mg) by employing a simplified CALPHAD-aided equivalence precipitation (EP) model of η-type precipitates to balance strength and quench sensitivity. …”
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Experimental Investigation and NSGA-III Multi-Criteria Optimization of 60CrMoV18-5 Cold-Work Tool Steel Machinability Under Dry CNC Hard Turning Conditions by Nikolaos A. Fountas, Ioannis G. Papantoniou, Dimitrios E. Manolakos, Nikolaos M. Vaxevanidis

“…Full quadratic regression models were generated to model the relationships between inputs and outputs. …”
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Diagnosis by SAM Linked to Machine Vision Systems in Olive Pitting Machines by Luis Villanueva Gandul, Antonio Madueño-Luna, José Miguel Madueño-Luna, Miguel Calixto López-Gordillo, Manuel Jesús González-Ortega

“…SAM’s ability to segment objects regardless of scene composition makes it a promising tool to improve the efficiency of olive pitting machines (DRRs). …”
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Cultivation of Babesia divergens in vitro by V. A. Levytska, O. M. Kovalova

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Antioxidant hybrid pigments developed by optimization of ascorbic acid loading into halloysite nanotubes via response surface methodology and co-loading with antioxidant-rich natur... by Natthawadee Tibkawin, Nichapa Buasumrit, Panatpong Boonnoun, Sukunya Ross, Gareth Ross, Brian Tighe, Jarupa Viyoch, Pensri Charoensit

“…The analysis of variance showed the resultant data fitted a quadratic polynomial model, which suggested the optimal conditions were 52.76 mg/mL of AA concentration, 19.47 mg of HNTs amount, and 250.91 min of stirring time. …”
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Prediction of tablet disintegration time based on formulations properties via artificial intelligence by comparing machine learning models and validation by Mohammed Ghazwani, Umme Hani

“…Abstract This research assesses multiple predictive models aimed at estimating disintegration time for pharmaceutical oral formulations, based on a dataset comprising nearly 2,000 data points that include molecular, physical, compositional, and formulation attributes. …”
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Advancing ship automatic navigation strategy with prior knowledge and hierarchical penalty in irregular obstacles: a reinforcement learning approach to enhanced efficiency and safe... by Hao Zhang, Jiawen Li, Jiawen Li, Jiawen Li, Jiawen Li, Liang Cao, Liang Cao, Liang Cao, Shucan Wang, Ronghui Li, Ronghui Li, Ronghui Li

“…To this end, this research proposes a GEPA model that integrates prior knowledge and hierarchical reward and punishment mechanisms to optimize the autopilot strategy for unmanned vessels based on deep Q-network (DQN). …”
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Long Short-Term Memory Networks for the Automated Identification of the Stationary Phase in Tribological Experiments by Yuxiao Zhao, Leyu Lin, Alois K. Schlarb

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Optimizing Ti/RuO2-IrO2 – electro activated persulfate oxidation processes for the degradation of ammonia-nitrogen and color from landfill leachate using Response Surface Methodolo... by Juni Farrandie, Sethupathi Sumathi, Bashir Mohammed JK, Xinxin Guo

“…Process variables such as reaction time, current density and persulfate dosage were optimized using central composite design via response surface methodology (RSM). …”
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The Optimal Drought Hardening Intensity and Salinity Level Combination for Tomato (<i>Solanum lycopersicum</i> L.) Cultivation under High-Yield, High-Quality and Water-Saving Multi... by Longjia Tian, Guangcheng Shao, Yang Gao, Jia Lu, Chenqi Zhang, Tian Fu, Yihan Hu

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A Novel High-Precision Workpiece Self-Positioning Method for Improving the Convergence Ratio of Optical Components in Magnetorheological Finishing by Yiang Zhang, Pengxiang Wang, Chaoliang Guan, Meng Liu, Xiaoqiang Peng, Hao Hu

“…Further, based on these thresholds, a hybrid self-positioning method combining machine vision and a probing module is proposed. A composite data acquisition method using both a camera and probe is designed, and a stepwise global optimization model is constructed by integrating a synchronous iterative localization algorithm with the Non-dominated Sorting Genetic Algorithm II (NSGA-II). …”
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Advanced machine learning techniques for predicting compressive strength and ultrasonic pulse velocity of concrete incorporating industrial by-products by Ehsan Mohsennia, Alireza Javid, Vahab Toufigh

“…A robust dataset, comprising 162 structured IBP concrete samples and 524 data points from existing literature, enabled rigorous training and validation of sophisticated ML models. Among the models tested, the CatBoost (CB) algorithm, optimized with the Whale Optimization Algorithm (WOA), exhibited outstanding predictive performance. …”
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