Smoking-associated gene expression alterations in nasal epithelium reveal immune impairment linked to lung cancer risk by Maria Stella de Biase, Florian Massip, Tzu-Ting Wei, Federico M. Giorgi, Rory Stark, Amanda Stone, Amy Gladwell, Martin O’Reilly, Daniel Schütte, Ines de Santiago, Kerstin B. Meyer, Florian Markowetz, Bruce A. J. Ponder, Robert C. Rintoul, Roland F. Schwarz

“…We developed a computational model to assess smoking-associated gene expression changes and their reversibility after smoking is stopped, comparing healthy subjects to clinic patients with and without lung cancer. …”
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Electrophysiological Markers of Aberrant Cue-Specific Exploration in Hazardous Drinkers by Ethan M. Campbell, Garima Singh, Eric D. Claus, Katie Witkiewitz, Vincent D. Costa, Jeremy Hogeveen, James F. Cavanagh

“…Methods: We investigated exploration of novel alcohol and non-alcohol cues in hazardous drinkers (N = 27) and control participants (N = 26) during electroencephalography (EEG). A normative computational model with two free parameters was fit to estimate participants’ weighting of the future value of exploration and immediate value of exploitation. …”
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Three-Dimensional Reconstruction Pre-Training as a Prior to Improve Robustness to Adversarial Attacks and Spurious Correlation by Yutaro Yamada, Fred Weiying Zhang, Yuval Kluger, Ilker Yildirim

“…Here, inspired by computational models of human vision, we explore a synthesis of this approach by leveraging a structured prior over image formation: the 3D geometry of objects and how it projects to images. …”
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Modeling differentiation-state transitions linked to therapeutic escape in triple-negative breast cancer. by Margaret P Chapman, Tyler Risom, Anil J Aswani, Ellen M Langer, Rosalie C Sears, Claire J Tomlin

“…In this work, we develop computational models of a drug-treated, phenotypically heterogeneous triple-negative breast cancer (TNBC) cell line to elucidate the feasibility of differentiation-state transition as a mechanism for therapeutic escape in this tumor subtype. …”
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STEM PROJECT AS A MEANS OF LEARNING MODELING FOR PRE-SERVICE MATHEMATICS AND COMPUTER SCIENCE TEACHERS by Олена Володимирівна Семеніхіна, Марина Григорівна Друшляк, Інна Володимирівна Шишенко

“…The content of the methodology is a course in Computer Modeling, which includes a module "STEM education and modeling". …”
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Robust Multiscale Identification of Apparent Elastic Properties at Mesoscale for Random Heterogeneous Materials with Multiscale Field Measurements by Tianyu Zhang, Florent Pled, Christophe Desceliers

“…A general methodology using multiscale displacement field measurements simultaneously made at both macroscale and mesoscale has been recently proposed for the identification the hyperparameters of such a prior stochastic model by solving a multiscale statistical inverse problem using a stochastic computational model and some information from displacement fields at both macroscale and mesoscale. …”
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Safety Analysis of Spent Fuel Transportation Cask of Bushehr Nuclear Power Plant through the Passing of Fire Tunnel with ANSYS®10.0 by Y Sedigh, S.A Azimfar

“…The selected model included all the significant heat transfer paths within the casks and between the casks and the external environment. The computational model was subjected to the thermal environment of the tunnel during the fire transient using boundary conditions derived from the results of the fire dynamics simulator computational fluid dynamics code. …”
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Effect of Adhesive Materials in Re-Attachment of Crown and Crown–Root Fractures of Permanent Maxillary Anterior Tooth: A Computational Study by Anshika Garg, Shubham Gupta, Nitesh Tewari, Sukeshana Srivastav, Arnab Chanda

“…Hence, this study aimed to evaluate the efficacy of various adhesive materials in crown and crown–root reattachments through computational modelling. A full-scale permanent maxillary anterior tooth model was developed by segmenting 3D scanned cone beam computed tomography (CBCT) images of the pulp, root, and enamel precisely. …”
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A Study on the Estimation of RIC (Radiation-Induced Conductivity) of Proton Irradiated Polyimide by Yoshitaka Miyaji, Hiroaki Miyake, Yasuhiro Tanaka

“…In the future, we will incorporate the results of this study into a computational model of space charge accumulation inside insulation materials to verify the influence of the RIC caused by proton irradiation on space charge accumulation.…”
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Lambda-Based Data Processing Architecture for Two-Level Load Forecasting in Residential Buildings by Gde Dharma Nugraha, Ardiansyah Musa, Jaiyoung Cho, Kishik Park, Deokjai Choi

“…Load forecasting utilizes historical load data to compute model predictions for a specific time in the future. …”
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Development of PSA@PS-TiO2 nanocomposite photocatalyst: structure, mechanism, and application using response surface designs and molecular modeling by Amarachi Udoka Nkwoada, Gerald Onyedika, Emeka Oguzie, Martin Ogwuegbu

“…Regression modeling predicted 98% efficiency and computational modeling showed a nucleophilic initial attack initiated by a nitro group. …”
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Effects of Image Quality on the Accuracy Human Pose Estimation and Detection of Eye Lid Opening/Closing Using Openpose and DLib by Run Zhou Ye, Arun Subramanian, Daniel Diedrich, Heidi Lindroth, Brian Pickering, Vitaly Herasevich

“…Objective: The application of computer models in continuous patient activity monitoring using video cameras is complicated by the capture of images of varying qualities due to poor lighting conditions and lower image resolutions. …”
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Electric field assisted reduction of NOx emission: A numerical study by Sheikh F. Ahmed, Ali Charchi Aghdam, Jackson Pleis, Robert Geiger, Tanvir I. Farouk

“…A multi-physics computational model is developed in the OpenFOAM framework to simulate electric-field-coupled premixed combustion process. …”
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Structural and functional mapping of ars gene cluster in Deinococcus indicus DR1 by Shrivaishnavi Ranganathan, Deepa Sethi, Sandhya Kasivisweswaran, L. Ramya, Richa Priyadarshini, Ragothaman M. Yennamalli

“…Here, we present a computational model of the operonic structure and the corresponding characterization of the six proteins of the ars gene cluster in D. indicus DR1. …”
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Multi-Task Learning of Relative Height Estimation and Semantic Segmentation from Single Airborne RGB Images by Min Lu, Jiayin Liu, Feng Wang, Yuming Xiang

“…The model’s performance is much better than that of equivalent computational models. We also designed dynamic weights to enable the model to learn relative height estimation and semantic segmentation simultaneously. …”
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Identification and characterization of two novel KCNH2 mutations contributing to long QT syndrome. by Anthony Owusu-Mensah, Jacqueline Treat, Joyce Bernardi, Ryan Pfeiffer, Robert Goodrow, Bright Tsevi, Victoria Lam, Michel Audette, Jonathan M Cordeiro, Makarand Deo

“…The Purkinje cells exhibit a more severe phenotype than ventricular myocytes, and the hERG current blockade renders the ventricles an arrhythmogenic substrate from computer modeling.…”
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Prediction of Colour Characteristics of Microwave-Dried Tomato Slices Using Artificial Neural Network and Adaptive Neuro-Fuzzy Inference Systems by Hussein Jelili Babatunde, Oke Moruf Olanrewaju, Agboola Fausat Fadeke, Sanusi Mayowa Saheed

“…This study investigated digital imaging and applied soft-computational modelling using the Artificial Neural Network (ANN) and Adaptive Neuro-fuzzy Inference System (ANFIS) to evaluate the surface colour of microwave-dried tomato slices. …”
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Why is a 3D image of the whole skeleton useful in treating spinal deformities? by Jean Dubousset

“…The geometric and mechanical personified 3D model allows preoperative planning for severe deformities: it helps in choosing the level and direction of the section, the magnitude of the resected angle, and in computer modeling of the closure of bone surfaces to obtain a new type of spinal alignment. …”
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Kernel extreme learning machine‐based general solution to forward kinematics of parallel robots by Jun Ma, Xuechao Duan, Dan Zhang

“…On this basis, a computational model combining sparrow search algorithm and KELM is then established, which can serve as both regression and classification. …”
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Use of stable water isotopes to identify water as a source for palsa ice core formation by Yu. N. Chizhova, Yu. K. Vasil’chuk

“…The distribution of the values of δ18O, δ2H, dexc and ratios δ18O–δ2H within the palza ice lense is associated with freezing in a closed or open system, and this allows finding the source of water for the ice formation. The use of computational modeling of the distribution of the values of δ18О and δ2Н during the ice formation in a closed system and the selection of the calculated parameters, performed in such a way that the actual values in the ice are described, show the initial isotopic characteristics of the moisture from which the ice was formed. …”
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