Modeling the Sequential Pattern Variability of the Electromotor Command System of Pulse Electric Fish by Angel Lareo, Pablo Varona, Francisco B. Rodriguez

“…This article presents a computational model of the electromotor command circuit that reproduces a whole set of SPI patterns while keeping the same internal network configuration. …”
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USE OF INFORMATION AND COMMUNICATION TECHNOLOGIES FOR POLITICAL SCIENCE RESEARCH by Oleksandr Chornenkyi

“…It shows the possibilities of computer modeling for the analysis of complex dynamic systems in which decision-making at the micro level changes the system as a whole. …”
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Advancements and Challenges in Solid-State Battery Technology: An In-Depth Review of Solid Electrolytes and Anode Innovations by Abniel Machín, Carmen Morant, Francisco Márquez

“…This review includes a discussion on the latest analytical techniques, experimental studies, and computational models to understand and improve the anode–solid electrolyte interface. …”
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Monitoring Air Pollution Variability during Disasters by Earthea Nance

“…The Gulf oil spill offers a strategic setting in which regulatory monitoring, computer modeling, and stationary monitoring could be directly compared to mobile monitoring. …”
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DC motor fault detection and isolation scheme with the use of directional residual set by Nikita S. Kolesnik, Alexey A. Margun

“…This scheme performance is proved with computer modeling of typical DC motor RK 370CA with faults caused by unaccounted force momentum acting on rotor, input voltage disturbance, velocity and current sensors failures. …”
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Effect of transcatheter aortic valve replacement on bicuspid coronary hemodynamics: A numerical study by Hongge Wei, Zhuoran Qu, Ziyao Geng, Qianwen Hou, Tianming Du, Xinjin Luo, Juntao Qiu, Aike Qiao

“…To investigate the effects of transcatheter heart valve (THV) poses and bicuspid aortic valve (BAV) subtypes on coronary hemodynamics after transcatheter aortic valve replacement (TAVR). The computational models for BAV included left-right fusion (LR), non-coronary-left fusion (LN) and non-coronary-right fusion (RN). …”
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Lipoprotein metabolism indicators improve cardiovascular risk prediction. by Daniël B van Schalkwijk, Albert A de Graaf, Evgeni Tsivtsivadze, Laurence D Parnell, Bianca J C van der Werff-van der Vat, Ben van Ommen, Jan van der Greef, José M Ordovás

“…We have developed a computational model able to derive indicators of lipoprotein production, lipolysis, and uptake processes from a single lipoprotein profile measurement. …”
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Calibration and Verification of the Hydraulic Model for Blue Nile River from Roseires Dam to Khartoum City by Kamal edin ELsidig Bashar, Basim Hussein Khudair, Ghassn khalaf khalid

“…The study objective covered a relationship of the river terrain with the distance between the assumed points of the dam failures along the river length. The computed model values and the observed data should conform to the theoretical analysis and the overall verification performance of the model by comparing it with another set of data. …”
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The world seems different in a social context: A neural network analysis of human experimental data. by Maria Tsfasman, Anja Philippsen, Carlo Mazzola, Serge Thill, Alessandra Sciutti, Yukie Nagai

“…In this paper, we address this question by training an artificial neural network inspired by the predictive coding theory on the above behavioral data set. Using this computational model, we investigate whether the change in behavior that was caused by the situational context in the human experiment could be explained by continuous modifications of a parameter expressing how strongly sensory and prior information affect perception. …”
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Investigating Aging Characteristics of Oil-Immersed Power Transformers’ Insulation in Electrical–Thermal–Mechanical Combined Conditions by Zonghui Yuan, Qian Wang, Zhigang Ren, Fangcheng Lv, Qin Xie, Jianghai Geng, Jianhao Zhu, Fuyun Teng

“…In this study, we developed a computational model for reclosing current calculation and multiphysics coupling models for magnetic-circuit-force, electrostatic field, and temperature field simulations. …”
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Assessment of water level fluctuation impacts along River Nile, Egypt by Nasr Hekal, W.A. Fahmy

“…ABSTRACTThis paper aims to develop a computational model to assess and evaluate the annual water level fluctuation (WLF) impacts and their trends along any open channel (river, canal or lake) and provide reliable information that may help handle their implications. …”
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Mathematical modeling of parameter identification process of convection-diffusion transport models using the SVD-based Kalman filter by Anastasia N. Kuvshinova, Andrey V. Tsyganov, Yulia V. Tsyganova

“…The main of which is robustness against machine roundoff errors. Computer modeling of parameter identification has been processed with the MATLAB system using a specialized software package. …”
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XGBCDA: a multiple heterogeneous networks-based method for predicting circRNA-disease associations by Siyuan Shen, Junyi Liu, Cheng Zhou, Yurong Qian, Lei Deng

“…Accordingly, developing an efficient computational model to predict circRNA-disease associations is urgent. …”
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Optimizing solidification dendrites and process parameters for laser powder bed fusion additive manufacturing of GH3536 superalloy by finite volume and phase-field method by Dong Liu, Jiaqi Pei, Hua Hou, Xiaofeng Niu, Yuhong Zhao

“…In this study, a computational model incorporating Computational Fluid Dynamics (CFD) and Discrete Element Method (DEM) was utilized to simulate the mesoscale evolution of the molten pool in L-PBF for GH3536 superalloy. …”
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Estimating population sizes to evaluate progress in conservation of endangered golden lion tamarins (Leontopithecus rosalia). by Carlos R Ruiz-Miranda, Marcio M de Morais, Lou Ann Dietz, Brenda Rocha Alexandre, Andréia F Martins, Luís Paulo Ferraz, Jennifer Mickelberg, Sarah J Hankerson, James M Dietz

“…Efforts to reverse the decline of endangered golden lion tamarin monkeys have been relatively successful because the Brazilian organization dedicated to the species' conservation (Associação Mico-Leão-Dourado, AMLD) relies on science-based computer modeling to determine the number of tamarins necessary to achieve demographic and genetic goals, and a process of strategic planning to achieve those goals. …”
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Inward Operation of Sodium-Bicarbonate Cotransporter 1 Promotes Astrocytic Na⁺ Loading and Loss of ATP in Mouse Neocortex during Brief Chemical Ischemia by Katharina Everaerts, Pawan Thapaliya, Nils Pape, Simone Durry, Sara Eitelmann, Eleni Roussa, Ghanim Ullah, Christine R. Rose

“…Here, we analyzed its mode of operation during transient energy deprivation via imaging astrocytic pH, Na⁺, and ATP in organotypic slice cultures of the mouse neocortex, complemented with patch-clamp and ion-selective microelectrode recordings and computational modeling. We found that a 2 min period of metabolic failure resulted in a transient acidosis accompanied by a Na⁺ increase in astrocytes. …”
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Parametric Study of Air Infiltration in Residential Buildings—The Effect of Local Conditions on Energy Demand by Artur Miszczuk, Dariusz Heim

“…The analyses were done using numerical techniques and computational models of the three buildings developed and calibrated based on the blower door test results. …”
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Using Optimisation Meta-Heuristics for the Roughness Estimation Problem in River Flow Analysis by Antonio Agresta, Marco Baioletti, Chiara Biscarini, Fabio Caraffini, Alfredo Milani, Valentino Santucci

“…In this context, being able to accurately estimate the roughness coefficient, also known as Manning’s <i>n</i> coefficient, plays an important role when computational models are employed. In this piece of research, we propose an optimal approach for the estimation of ‘<i>n</i>’. …”
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Tensile properties of human spinal dura mater and pericranium by Sacha Cavelier, Ryan D. Quarrington, Claire F. Jones

“…The Ogden parameters reported may be used for computational modeling of the central nervous system. Graphical abstract…”
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Comparative numerical analysis of Bayesian decision rule and probabilistic neural network for pattern recognition by V. S. Mukha

“…This involves comparing the neural network and the traditional method for specific tasks. In this paper, computer modeling of the Bayesian decision rule and the probabilistic neural network is carried out in order to compare their operational characteristics for recognizing Gaussian patterns. …”
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