Prediction Model of Corrosion Current Density Induced by Stray Current Based on QPSO-Driven Neural Network by Chengtao Wang, Wei Li, Gaifang Xin, Yuqiao Wang, Shaoyi Xu

“…The accuracy distribution of the QPSO-NN model is more stable than that of the BPNN model and the PSO-NN model. …”
Get full text

An Updating Method for Finite Element Models of Flexible-Link Mechanisms Based on an Equivalent Rigid-Link System by R. Belotti, R. Caracciolo, I. Palomba, D. Richiedei, A. Trevisani

“…This paper proposes a comprehensive methodology to update dynamic models of flexible-link mechanisms (FLMs) modeled through ordinary differential equations. …”
Get full text

Synergizing Green Transitions: Exploring EV Usage Risks in South India through the UTAUT2 Model by Sailatha Karpurapu, J. Naga Venkata Raghuram

“…Due to perceived risks, many users are hesitant to use electric vehicles despite their potential benefits. to develop and empirically test a model that forecasts the elements that affect consumers' acceptance of electric vehicles, the research aims to construct and empirically validate a model. …”
Get full text

Semianalytical Solutions of Some Nonlinear-Time Fractional Models Using Variational Iteration Laplace Transform Method by Javed Iqbal, Khurram Shabbir, Liliana Guran

Get full text

Simulation of Flow Around a Finite Rectangular Prism: Influence of Mesh, Model, and Subgrid Length Scale by Xutong Zhang, Maxime Savoie, Mark K. Quinn, Ben Parslew, Alistair Revell

“…This study investigates the flow field around a finite rectangular prism using both experimental and computational methods, with a particular focus on the influence of the turbulence approach adopted, the mesh resolution employed, and different subgrid length scales. Ten turbulence modelling and simulation approaches, including both ‘scale-modelling’ Reynolds-Averaged Navier–Stokes (RANS) models and ‘scale-resolving’ Delayed Detached Eddy Simulation (DDES), were tested across six different mesh resolutions. …”
Get full text

Optimization of the cholesterol gallstone model in C57BL/6 mice and evaluation of Lactobacillus intervention effects by Cong Wang, Ting Jiang, Lvwang Ye, Mengyan Du, Fang Liu

“…This study aims to optimize the cholesterol gallstone model in C57BL/6 mice and evaluate the effects of Lactobacillus intervention on gallstone formation induced by a high-fat diet. …”
Get full text

Impact of Operational and Financial Efficiency on Aviation Stock Prices: A Machine Learning Model with SHAP Interpretability by Ahmet Akusta

“…A CatBoost regression model enhanced with SHapley Additive exPlanations (SHAP) was developed using data from 65 global aviation companies collected between 2015 and 2023. …”
Get full text

Design of Internal Wire-Based Impedance Matching of Helical Antennas Using an Equivalent Thin-Wire Model by Slobodan V. Savić, Milan M. Ilić, Antonije R. Djordjević

“…To overcome this problem, we formulate an equivalent thin-wire model of the complete helix, including the matching wire (matching network) and the dielectric support. …”
Get full text

The algebraic extended atom-type graph-based model for precise ligand–receptor binding affinity prediction by Farjana Tasnim Mukta, Md Masud Rana, Avery Meyer, Sally Ellingson, Duc D. Nguyen

“…The use of extended atom types in graph coloring enhances the model’s capability to capture the intricacies of protein-ligand interactions. …”
Get full text

YOLO-TC: An Optimized Detection Model for Monitoring Safety-Critical Small Objects in Tower Crane Operations by Dong Ding, Zhengrong Deng, Rui Yang

“…To address these challenges, we introduce YOLO-TC, a refined object detection model tailored specifically for tower crane monitoring applications. …”
Get full text

Application of a Neural Network Model for Prediction of Wear Properties of Ultrahigh Molecular Weight Polyethylene Composites by Halil Ibrahim Kurt, Murat Oduncuoglu

“…The extensive experimental results were taken from literature and modeled with artificial neural network (ANN). The feed forward (FF) back-propagation (BP) neural network (NN) was used to predict the dry sliding wear behavior of UHMWPE composites. …”
Get full text

Transcutaneous Intraluminal Impedance Measurement for Minimally Invasive Monitoring of Gastric Motility: Validation in Acute Canine Models by Michael D. Poscente, Gang Wang, Dobromir Filip, Polya Ninova, Gregory Muench, Orly Yadid-Pecht, Martin P. Mintchev, Christopher N. Andrews

“…In the present study, we investigated whether TIIM can reliably assess gastric motility in acute canine models. Methods. Eight mongrel dogs were randomly divided into 2 groups: half received an active TIIM pill and half received an identically sized sham capsule. …”
Get full text

Social Acceptance of Smart Glasses in Health Care: Model Evaluation Study of Anticipated Adoption and Social Interaction by Niek Zuidhof, Oscar Peters, Peter-Paul Verbeek, Somaya Ben Allouch

“…Furthermore, regarding the second objective involving gaining insights into the influential constructs of the anticipated intention to use, the following results were highlighted: in testing the conceptual model, the measurement model generated a good fit and the respecified structural model also generated a good fit. …”
Get full text

Determination of the best time series model for forecasting annual rainfall of selected stations of Western Azerbaijan province by Somayeh Soltani gerdfaramarzi, Aref Saberi, Morteza Gheisouri

“…In next step, stochastic models to estimate the annual rainfall average were used. …”
Get full text

Risk Evaluation of Urban Integrated Pipe Corridor Operation and Maintenance Based on Improved AHP-CIM Model by Shuai Wang, Shaochuan Fu

“…In order to scientifically and objectively evaluate the risk in the operation and maintenance process of the urban integrated pipe corridor, and then prevent the occurrence of urban integrated pipe corridor operation and maintenance accidents, this paper combines AHP analysis and CIM model to propose a new model for the risk assessment of pipe corridors: AHP-CIM model, and uses the model to conduct a verification of the operation and maintenance risk evaluation of the Beijing Tongzhou Canal Core Area North Ring Tunnel Integrated Pipe Corridor. …”
Get full text

Modeling of River Sediment Estimation Using Artificial Neural Network Method (Case Study: Vanai River) by Dariush Abolfathi, Aghil Madadi, Sayyad Asghari

“…In the following, multivariate linear regression, multilevel prefabricated neural network (MLP) and radial function-based neural network (RBF) models are used to model sediment estimation. After estimating the model, the mean square error index (RMSE) was used to compare the models and select the best model. …”
Get full text

Relaxation Oscillations and Dynamical Properties in Two Time-Delay Slow-Fast Modified Leslie-Gower Models by Yufeng Wang, Youhua Qian, Bingwen Lin

“…In this paper, we consider two kinds of time-delay slow-fast modified Leslie-Gower models. For the first system, we prove the existence and uniqueness of relaxation oscillation cycle through the geometric singular perturbation theory and entry-exit function. …”
Get full text

Can floseal™ be applied safely during otologic surgery? Assessment of ototoxicity in a chinchilla animal model by Carol Nhan, Aren Bezdjian, Abdullah Alarfaj, Sam J. Daniel

“…Here, we determine whether Floseal™, a hemostatic matrix, is ototoxic in a validated animal model. Methods Nine chinchillas housed in the animal care facilities of the Montreal Children’s Hospital Research Institute were used for the study. …”
Get full text

Synthesis and evaluation of amino acid ionic liquid for enhanced oil recovery: experimental and modeling simulation studies by E. M. Mansour, R. Hosny, Ammona S. Mohamed, Fatma M. Abdelhafiz

“…Further, a 3D reservoir model simulation validated the enhanced oil recovery potential of AAIL [G0.5 C12][Pro]. …”
Get full text

A Modified Analytical Heat Source Model for Numerical Simulation of Temperature Field in Friction Stir Welding by Xiangqian Liu, Yan Yu, Shengli Yang, Huijie Liu

“…In the conventional analytical model used for heat generation in friction stir welding (FSW), the heat generated at the pin/workpiece interface is assumed to distribute uniformly in the pin volume, and the heat flux is applied as volume heat. …”
Get full text