Modelling of a hybrid wind power generator–water distillation system using a Venturi tunnel by Malak I. Naji, M. A. Al-Nimr

“…Theoretical and computational modelling is employed to design the system by examining air speed, area ratio, relative humidity, as well as air, and water temperatures. …”
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Distributed Training and Inference of Deep Learning Models for Multi-Modal Land Cover Classification by Maria Aspri, Grigorios Tsagkatakis, Panagiotis Tsakalides

“…Deep Neural Networks (DNNs) have established themselves as a fundamental tool in numerous computational modeling applications, overcoming the challenge of defining use-case-specific feature extraction processing by incorporating this stage into unified end-to-end trainable models. …”
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Interindividual Age-Independent Differences in Human CX43 Impact Ventricular Arrhythmic Risk by Laura García-Mendívil, María Pérez-Zabalza, Antoni Oliver-Gelabert, José María Vallejo-Gil, Javier Fañanás-Mastral, Manuel Vázquez-Sancho, Javier André Bellido-Morales, Alexánder Sebastián Vaca-Núñez, Carlos Ballester-Cuenca, Emiliano Diez, Laura Ordovás, Esther Pueyo

“…We used our experimental results to feed computational models of human ventricular electrophysiology and to assess the effects of interindividual differences in specific features of CX43 and fibrosis on conduction velocity, action potential duration, and arrhythmogenicity. …”
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2064 by Timothy P. Riley, Juan Mendoza, K. C. Garcia, Brian M. Baker

“…After this technique identified a panel of putative cross reactive peptides, sequence analysis and computational modeling followed by kinetic binding experiments and structural analysis determined the DMF5 TCR recognizes 2 distinct classes of peptides through chemically distinct mechanisms. …”
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Modelling the Shear Banding in Gradient Nano-Grained Metals by Tianyu Chen, Jianjun Li

“…Here, a dislocation density-based computational model is developed to investigate the shear band evolution in gradient Cu to overcome the above difficulty and to clarify the above debate. …”
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Synthetic biomedical data generation in support of In Silico Clinical Trials by Alena Simalatsar, Alena Simalatsar, Alena Simalatsar

“…The US Food and Drug Administration (FDA) acknowledges that for many novel devices, practical limitations require alternative approaches, such as computer modeling and engineering tests, to conduct large, randomized studies. …”
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CancerClock: A DNA Methylation Age Predictor to Identify and Characterize Aging Clock in Pan-Cancer by Tongtong Zhu, Yue Gao, Junwei Wang, Xin Li, Shipeng Shang, Yanxia Wang, Shuang Guo, Hanxiao Zhou, Hongjia Liu, Dailin Sun, Hong Chen, Li Wang, Shangwei Ning

“…A comprehensive computational model named CancerClock was constructed to predict the m-age for normal samples based on methylation levels of the extracted methylation sites. …”
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Estimation of water's surface elevation in compound channels with converging and diverging floodplains using soft computing techniques by Sajad Bijanvand, Mirali Mohammadi, Abbas Parsaie

“…In this research, water's surface elevation in compound channels with converging and diverging floodplains using soft computing models including the Multi-Layer Perceptron Neural Network (MLPNN), Group Method of Data Handling (GMDH), Neuro-Fuzzy Group Method of Data Handling (NF-GMDH) and Support Vector Machine (SVM) was modeled and predicted. …”
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Feature-aware unsupervised lesion segmentation for brain tumor images using fast data density functional transform by Shin-Jhe Huang, Chien-Chang Chen, Yamin Kao, Henry Horng-Shing Lu

“…This advantage facilitates fast computational modeling in interdisciplinary applications and clinical investigation.…”
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Investigation of Major Flavonoids from <i>Artemisia argyi</i> as a Potential COVID-19 Drug: Molecular Docking and DFT Calculations by Yang Lu, Bin Zhang, Ning Wang, Mengshan Li, Ning Xi

“…Here, we choose five major flavonoids obtained from <i>A. argyi</i>, namely, Jaceosidin (<b>1</b>), Eupatilin (<b>2</b>), Apigenin (<b>3</b>), Eupafolin (<b>4</b>), and 5,6-Dihydroxy-7,3′,4′-trimethoxyflavone (<b>5</b>), compared to the well-studied Baicalein (<b>6</b>), as potential inhibitors analogs for COVID-19 by computational modeling strategies. The frontier molecular orbitals (FMOs), chemical reactivity descriptors, and electrostatic surface potential (ESP) were performed by density functional theory (DFT) calculations. …”
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Computational studies of electromagnetic field propagation and deforming of structural elements for a thin-walled curved workpiece and an inductor by D. V. Lavinsky, Yu. I. Zaitsev

“…Methodology. Computational modeling using the finite element method as a method of numerical analysis. …”
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Role of the volume conductor on simulations of local field potential recordings from deep brain stimulation electrodes. by M Sohail Noor, Bryan Howell, Cameron C McIntyre

“…<h4>Objective</h4>Local field potential (LFP) recordings from deep brain stimulation (DBS) electrodes are commonly used in research analyses, and are beginning to be used in clinical practice. Computational models of DBS LFPs provide tools for investigating the biophysics and neural synchronization that underlie LFP signals. …”
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Neural substrates of continuous and discrete inhibitory control by Jonathon R. Howlett, Heekyeong Park, Martin P. Paulus

“…Abstract Inhibitory control dysfunctions play an important role in psychiatric disorders but the precise nature of these dysfunctions is still not well understood. Advances in computational modeling of real-time motor control using a proportion–integral–derivative (PID) control framework have parsed continuous motor inhibition into a preemptive drive component (signified by the K p parameter) and a reactive damping component (signified by the K d parameter). …”
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Pediatric Mini-Tablets: Predicting the Hidden Risk of Fill Errors by Brandon G. Gerberich, Grace A. Okoh, James C. DiNunzio, Michael B. Lowinger

“…This study quantified the probability of failing content uniformity (CU) specifications (which results in the inability to release a batch) defined in USP <905> using a Monte Carlo computational model. Failure risk was modeled as a function of sachet fill count, mini-tablet weight, potency distribution, and fill error frequency. …”
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COMPUTER SIMULATION OF GLICOPHORIN A AND 4-METHYL-2,6-DIISOBORNILFENOL INTERACTION BY AUTODOCK AND HEXSERVER PROGRAMS by O. I. Ostrikova

“…This paper presents the results of computer modeling of interaction dibornol and glycophorin A by HexServer and AutoDock programs. …”
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First-Principles Calculations of the Mechanical Properties of Doped Cu₃P Alloys by Xiao Ma, Fang Cheng, Weiqing Huang, Lian He, Zixin Ye, Shimeng Yu, Ling Hu, Dingkun Yu, Hangyan Shen

“…Crucially, the validation of our computational models is demonstrated through hardness experiments on Si and Sn-doped specimens, corroborating the theoretical predictions. …”
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An Evaluation Matrix to Compare Computer Hydrological Models for Flood Predictions by Pasquale Filianoti, Luana Gurnari, Demetrio Antonio Zema, Giuseppe Bombino, Marco Sinagra, Tullio Tucciarelli

“…In the case study, HEC-HMS and MIKE 11 NAM were the best computer models (with a weighted score of 4.45 and 4.43, respectively), thanks to their low complexity and computation effort, as well as good user interface and prediction accuracy. …”
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Determination of Solidification of Rigidity Point Temperature Using a New Method by Ester Villanueva, Iban Vicario, Jon Mikel Sánchez, Ignacio Crespo

“…An adequate design of chemical composition by applying the methodology and the novel methods proposed in this work, and also the optimization of process parameters of the whole casting process with the help of the integrated computational modeling, will certainly help to decrease any internal defective by predicting one of the most important defects present in the aluminum industry.…”
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Natural Convection of Heat-Generating Liquid of Variable Viscosity under Wall Cooling Impact by Alexander I. Kudrov, Mikhail A. Sheremet

“…Additionally in this research, the model for simulating the natural convection in non-primitive variables is presented in polar coordinates when the dynamic viscosity varies with temperature. The computational model designed could be used to simulate the free convection in systems with inner heat production such as chemical reactors, inductive metal melting facilities, or corium in-vessel retention to analyze the impact of various factors on the parameters of the natural convection in such systems.…”
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Designing multinary noble metal‐free catalyst for hydrogen evolution reaction by Wissam A. Saidi, Tarak Nandi, Timothy Yang

“…Our study underscores the significant impact that computational modeling and ML can have on developing new cost‐effective electrocatalysts in the nearly‐infinite materials design space of HEAs, and calls for experimental validation.…”
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