Thermal analysis of vehicle engine by Mohd Fauzie, Ramli

“…Finite element method (FEM) was employed to develop computational model to analyze the temperature distribution in the engine components and to identify the critical temperature in the components. …”
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Reduced Order Models for the Quasi-Geostrophic Equations: A Brief Survey by Changhong Mou, Zhu Wang, David R. Wells, Xuping Xie, Traian Iliescu

“…Reduced order models (ROMs) are computational models whose dimension is significantly lower than those obtained through classical numerical discretizations (e.g., finite element, finite difference, finite volume, or spectral methods). …”
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Structure and Migration Mechanisms of Small Vacancy Clusters in Cu: A Combined EAM and DFT Study by Vasileios Fotopoulos, David Mora-Fonz, Manuel Kleinbichler, Rishi Bodlos, Ernst Kozeschnik, Lorenz Romaner, Alexander L. Shluger

“…In this study, we use computational modeling to provide a detailed insight into the structures and formation energies of primary vacancy clusters, mechanisms and barriers for their migration in bulk copper, and how these properties are affected at simple grain boundaries. …”
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INTERACTION OF WELLS AS A METHOD FOR ANALYZING THE EFFECTIVENESS OF A FLOODING SYSTEM ON A CARBONATE TYPE OF RESERVOIR by Alexander S. Arkhipov, Maxim I. Kuzmin

“…Methods: interpretation and isolation of field-geophysical and hydrodynamic studies; computer modeling using the Saphir module of application software (Kappa); mathematical modeling by means of Spearman and Kendall rank correlation. …”
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Peptide Variant Detection by a Living Yeast Biosensor via an Epitope-Selective Protease by Tea Crnković, Benjamin J. Bokor, Mead E. Lockwood, Virginia W. Cornish

“…With further engineering by computational modeling and directed evolution, the biosensor could likely distinguish a wide variety of peptide sequences beyond the alanine scanning carried out here. …”
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Approaching PetaVolts per Meter Plasmonics Using Structured Semiconductors by Aakash Ajit Sahai, Mark Golkowski, Thomas Katsouleas, Gerard Andonian, Glen White, Chandrashekhar Joshi, Peter Taborek, Vijay Harid, Joachim Stohr

“…Relativistic effects along with large, localized electron density variations underlying these modes necessitate kinetic approach to theoretical and computational modeling. Kinetic model presented here demonstrates experimental viability of observing tens of gigavolts per meter plasmonic fields excited by matching readily available electron beams to plasmons in semiconductors with 1018cm−3 free electron density, and paves the way for Petavolts per meter plasmonics.…”
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Effects of a valgus unloader brace in the medial meniscectomized knee joint: a biomechanical study by Duraisamy Shriram, Go Yamako, Etsuo Chosa, Yee Han Dave Lee, Karupppasamy Subburaj

“…Results suggest choosing a higher valgus alignment angle could potentially increase the risk for the onset of osteoarthritis in the lateral compartment, and this computational model could be used in validating the effectiveness of braces on joint health.…”
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Modelamiento del Ambiente Térmico y Aéreo de un Galpón de Presión Negativa Tipo Túnel para Pollitos / Modeling of the Thermal Environments in Shed Negative Pressure Tunnel Type of... by Robinson Osorio Hernández, Ilda de Fátima Ferreira Tinôco, Jairo Alexander Osorio Saraz, Keller Sullivan Oliveira Rocha, Lina Marcela Guerra Garcia

“…The evaluation of the thermal behavior model during this period was made using the computational fluid dynamics (CFD). The computational model proved to be an effective tool for</div><div>understanding and improving of bioclimatic designs of indoor</div><div>environments to create this kind of sheds.…”
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Prediction of metabolites associated with somatic mutations in cancers by using genome-scale metabolic models and mutation data by GaRyoung Lee, Sang Mi Lee, Sungyoung Lee, Chang Wook Jeong, Hyojin Song, Sang Yup Lee, Hongseok Yun, Youngil Koh, Hyun Uk Kim

“…The computational workflow uses both cancer patient-specific genome-scale metabolic models (GEMs) and mutation data to generate metabolite-gene-pathway sets. A GEM is a computational model that predicts reaction fluxes at a genome scale and can be constructed in a cell-specific manner by using omics data. …”
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Contact-inhibited chemotaxis in de novo and sprouting blood-vessel growth. by Roeland M H Merks, Erica D Perryn, Abbas Shirinifard, James A Glazier

“…Although they are closely related biologically, no current model explains both phenomena with a single biophysical mechanism. Most computational models describe sprouting at the level of the blood vessel, ignoring how cell behavior drives branch splitting during sprouting. …”
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Maintaining reading experience continuity across e-book revisions by Christopher Yang, Brendan Flanagan, Gokhan Akcapinar, Hiroaki Ogata

“…Then, we compare three page similarity comparison methods using similarity computing models to compute page pairwise similarity in image level, text level, and image & text level. …”
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Developments of Smart Drug-Delivery Systems Based on Magnetic Molecularly Imprinted Polymers for Targeted Cancer Therapy: A Short Review by Nasim Sanadgol, Judith Wackerlig

“…The application of computational modeling toward selecting the optimum imprinting interaction partners is stated. …”
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ES-Screen: A Novel Electrostatics-Driven Method for Drug Discovery Virtual Screening by Naiem T. Issa, Stephen W. Byers, Sivanesan Dakshanamurthy

“…Electrostatic interactions drive biomolecular interactions and associations. Computational modeling of electrostatics in biomolecular systems, such as protein-ligand, protein–protein, and protein-DNA, has provided atomistic insights into the binding process. …”
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Macroscopic resting state model predicts theta burst stimulation response: A randomized trial. by Neda Kaboodvand, Behzad Iravani, Martijn P van den Heuvel, Jonas Persson, Robert Boden

“…Whole-brain modeling provides an integrative multi-modal framework for capturing disease heterogeneity in a holistic manner. Computational modelling combined with probabilistic nonparametric fitting was applied to the resting-state fMRI data from 42 patients (21 women), to parametrize baseline brain dynamics in depression. …”
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Ballistic response of skin simulant against fragment simulating projectiles by Punit Kumar Pandey, Atul Harmukh, M.K. Khan, M.A. Iqbal, S.G. Ganpule

“…Results have utility in the calibration and validation of computational models, design of personal protective equipment, and antipersonnel systems.…”
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Detection Characteristics of the Parametric Method of Signal Processing in a Sparse Antenna Array of a Transportable Decameter Range Radar by V. M. Kutuzov, M. A. Ovchinnikov, E. A. Vinogradov

“…To construct the detection characteristics (DC) computer modeling in the MatLab environment, the reliability of which was confirmed by the construction of known and theoretically calculated DC, was used.Results. …”
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Heterogeneous graph neural network for lncRNA-disease association prediction by Hong Shi, Xiaomeng Zhang, Lin Tang, Lin Liu

“…Due to the expensive and time-consuming methods verified by biological experiments, prediction methods based on computational models have gradually become an important means of lncRNA-disease associations discovery. …”
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A novel microbe-drug association prediction model based on graph attention networks and bilayer random forest by Haiyue Kuang, Zhen Zhang, Bin Zeng, Xin Liu, Hao Zuo, Xingye Xu, Lei Wang

“…Therefore, it is meaningful to develop efficient computational models to forecast potential microbe-drug associations. …”
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Source–Detector Spectral Pairing-Related Inaccuracies in Pulse Oximetry: Evaluation of the Wavelength Shift by Olivier Tsiakaka, Benoit Gosselin, Sylvain Feruglio

“…This study investigates how the use of candidate light sources and photodetectors for the development of a custom <inline-formula> <math display="inline"> <semantics> <mrow> <msub> <mi>S</mi> <mi>p</mi> </msub> <msub> <mi>O</mi> <mn>2</mn> </msub> </mrow> </semantics> </math> </inline-formula> monitoring system can lead to inaccuracies when using the standard computational model for oxygen saturation without calibration. …”
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Enhancing the Psychometric Properties of the Iowa Gambling Task Using Full Generative Modeling by Holly Sullivan-Toole, Nathaniel Haines, Kristina Dale, Thomas M. Olino

“…Our full generative model incorporated (1) the Outcome Representation Learning (ORL) computational model at the person-level and (2) a group-level model that explicitly modeled test-retest reliability, along with other group-level effects. …”
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