Disrupted visual input unveils the computational details of artificial neural networks for face perception by Yi-Fan Li, Haojiang Ying

“…The brain-inspired neural networks not only achieve great performance but also serve as a computational model of biological neural systems.MethodsHere in this study, we trained and tested several typical DCNNs (AlexNet, VGG11, VGG13, VGG16, DenseNet, MobileNet, and EfficientNet) with a face ethnicity categorization task for experiment 1, and an emotion categorization task for experiment 2. …”
Get full text

Modeling of the Human Cerebral Collateral Circulation: Evaluation of the Impact on the Cerebral Perfusion in Case of Ischemic Stroke by Krames Lorena, Daschner Rosa, Lutz Yannick, Loewe Axel, Dössel Olaf, Cattaneo Giorgio

“…An auspicious alternative is the use of computational modeling. In this work, we extended an existing 1D hemodynamics model including the characteristics of the anterior, middle and posterior cerebral artery. …”
Get full text

P131 UTERINE ARTERIES EVALUATION DURING PREGNANCY: MODELING AND COMPUTATIONAL FLUID DYNAMICS CALCULATIONS by Andreia Serrano, Vanessa Cunha, Jorge Teixeira, Maria Pires, João O’Neill, Valentina Vassilenko

“…Our purpose is to develop a computational model to obtain relevant hemodynamic parameters of the maternal circulation, formed by the common iliac (CI), the internal (II) and the external iliac (EI) and the uterine arteries (UA). …”
Get full text

Adaptive STDP-based on-chip spike pattern detection by Ashish Gautam, Takashi Kohno

“…It is becoming a crucial neuromorphic computational model. Spike-timing-dependent plasticity (STDP) is an unsupervised brain-like learning rule implemented in many SNNs and neuromorphic chips. …”
Get full text

Built to Last: Functional and Structural Mechanisms in the Moth Olfactory Network Mitigate Effects of Neural Injury by Charles B. Delahunt, Pedro D. Maia, J. Nathan Kutz

“…We simulate injuries on a detailed computational model of the moth olfactory network calibrated to data. …”
Get full text

iMethyl-Deep: N6 Methyladenosine Identification of Yeast Genome with Automatic Feature Extraction Technique by Using Deep Learning Algorithm by Omid Mahmoudi, Abdul Wahab, Kil To Chong

“…In this paper, we proposed a computational model named iMethyl-deep to identify m6A <i>Saccharomyces Cerevisiae</i> on two benchmark datasets M6A2614 and M6A6540 by using single nucleotide resolution to convert RNA sequence into a high quality feature representation. …”
Get full text

Parametric Design and Mechanical Characterization of 3D-Printed PLA Composite Biomimetic Voronoi Lattices Inspired by the Stereom of Sea Urchins by Alexandros Efstathiadis, Ioanna Symeonidou, Konstantinos Tsongas, Emmanouil K. Tzimtzimis, Dimitrios Tzetzis

“…The PLA blend with polyhydroxyalkanoate seems to have a minor effect on the mechanical behavior of such structures, whereas when wood fibers are added to the compound, a major decrease in strength occurs. The computational model results significantly coincide with the experimental results.…”
Get full text

Single-chip multi-processing architecture for spaceborne SAR imaging and intelligent processing

“…Aiming at on-chip data organization and memory access structure, two typical models of SAR(synthetic aperture radar) imaging CSA (chirp scaling) and neural network VGG-11 are analyzed, and then a collaborative computing model for the intelligent processing on remote sensing is extracted. …”
Get full text

Identification of a Novel Delta Opioid Receptor Agonist Chemotype with Potential Negative Allosteric Modulator Capabilities by Yazan J. Meqbil, Hongyu Su, Robert J. Cassell, Kendall L. Mores, Anna M. Gutridge, Benjamin R. Cummins, Lan Chen, Richard M. van Rijn

“…A subsequent characterization of fourteen analogs of compound <b>1</b>, however did not identify a more potent δOR agonist. Computational modeling and in vitro characterization of compound <b>1</b> in the presence of the endogenous agonist leu-enkephalin suggest compound <b>1</b> may also bind allosterically and negatively modulate the potency of Leu-enkephalin to inhibit cAMP, acting as a ‘NAM-agonist’ in this assay. …”
Get full text

Monte Carlo Modeling of Skyshine Dose Distribution in Vicinity of Medical Accelerator Facilities by Mina Malekpour, Parvaneh Shokrani, Alireza Amouheidari

“…The aim of this study was to determine a computational model to predict the dose of radiation skyshine via Monte Carlo simulations. …”
Get full text

Potential of Immunotherapies in Treating Hematological Cancer-Infection Comorbidities—A Mathematical Modelling Approach by Johnny T. Ottesen, Morten Andersen

“…Method: A novel mechanism based computational model coupling a cancer-infection development to the adaptive immune system is presented and analyzed. …”
Get full text

Failure mode analysis of composite cylindrical shell structure under underwater explosion by Kun YANG, Wei ZHANG, Ying LI, Xianxian HE

“…ObjectiveIn order to improve the explosion and impact resistance of the protective structures of unmanned underwater vehicles (UUVs), autonomous underwater vehicles (AUVs), air bottles, etc., the structural response and failure modes of carbon fiber reinforced plastic (CFRP) cylindrical shells under underwater explosion and high hydrostatic pressure are investigated. MethodA computational model of CFRP cylindrical shell implosion under the combined action of hydrostatic pressure and impact load is established using ABAQUS software and the coupled Euler-Lagrange (CEL) method. …”
Get full text

Numerical simulation and comparative analysis of pressure drop estimation in horizontal and vertical slurry pipeline by Om Parkash Verma, Arvind Kumar, Basant Singh Sikarwar

“…In this perspective, numerical simulation of three-dimensional horizontal slurry pipeline (HSPL) and vertical slurry pipeline (VSPL) carrying glass beads solid particulates of spherical diameter 440 µm and density 2,470 kg/m3 is carried out. The 3D computational model for horizontal and vertical slurry pipeline is developed for a pipe of 0.0549 m diameter and analyzed in available commercial software ANSYS Fluent 16. …”
Get full text

Modeling the iron storage protein ferritin reveals how residual ferrihydrite iron determines initial ferritin iron sequestration kinetics. by Joseph Masison, Pedro Mendes

“…Computational models can be created more efficiently by composing them from smaller, well-defined sub-models that represent specific cellular structures that appear often in different contexts. …”
Get full text

DBDNMF: A Dual Branch Deep Neural Matrix Factorization method for drug response prediction. by Hui Liu, Feng Wang, Jian Yu, Yong Pan, Chaoju Gong, Liang Zhang, Lin Zhang

“…The design of computational models that can precisely predict the responses between drugs and cell lines could provide a credible reference for further research. …”
Get full text

Identifying key critical model parameters in spreading of COVID-19 pandemic by Sarbaz H. A. Khoshnaw, Kawther Y. Abdulrahman, Arkan N. Mustafa

“…Furthermore, the real data of confirmed cases in the Kurdistan region of Iraq are used in estimating model parameters and model validating. Computational model results provide some important model improvements and suggest control strategies. …”
Get full text

The mechanical influence of densification on epithelial architecture. by Christian Cammarota, Nicole S Dawney, Philip M Bellomio, Maren Jüng, Alexander G Fletcher, Tara M Finegan, Dan T Bergstralh

“…To address these questions, we developed a novel polyline cell-based computational model and used it to make theoretical predictions about epithelial architecture upon changes to density and cell-cell adhesion. …”
Get full text

Self-complexification through integral feedback in eusocial paper wasps of various levels of sociality by Thomas Schmickl, Istvan Karsai

“…We built and analyzed a computational model to investigate how diverse task allocation patterns found in nature can emerge from the same behavioral blueprint. …”
Get full text

A CFD Modelling Approach for the Operation Analysis of an Exhaust Backpressure Valve Used in a Euro 6 Diesel Engine by Francisco J. Martos, José A. Soriano, Andrei Braic, Pablo Fernández-Yáñez, Octavio Armas

“…This work presents a computational model of the flow through the throttle valve under different temperatures and mass flow rates of the exhaust gas with different closing positions. …”
Get full text

Interactions between sensory prediction error and task error during implicit motor learning. by Jonathan S Tsay, Adrian M Haith, Richard B Ivry, Hyosub E Kim

“…Taken as a whole, the results were accounted for by a computational model in which sensory prediction errors and task errors, modulated by attention, interact to determine the extent of implicit recalibration.…”
Get full text