Showing 8,601 - 8,620 results of 10,001 for search '"computer model"', query time: 0.43s Refine Results
  1. 8601

    Recurrent predictive coding models for associative memory employing covariance learning. by Mufeng Tang, Tommaso Salvatori, Beren Millidge, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz

    Published 2023-04-01
    “…Following this theory, a computational model based on classical hierarchical predictive networks was proposed and was shown to perform well in various AM tasks. …”
    Get full text
    Article
  2. 8602

    Fixations on objects in natural scenes: dissociating importance from salience by Bernard Marius e’t Hart, Bernard Marius e’t Hart, Hannah Claudia Elfriede Fanny Schmidt, Christine eRoth, Christine eRoth, Wolfgang eEinhauser, Wolfgang eEinhauser

    Published 2013-07-01
    “…The relation of selective attention to understanding of natural scenes has been subject to intense behavioral research and computational modeling, and gaze is often used as a proxy for such attention. …”
    Get full text
    Article
  3. 8603

    Survival of RNA Replicators Is Much Easier in Protocells Than in Surface-Based, Spatial Systems by Vismay Shah, Jonathan de Bouter, Quinn Pauli, Andrew S. Tupper, Paul G. Higgs

    Published 2019-08-01
    “…Here, we compare computational models of replication in spatial models and protocells as closely as possible in order to determine the relative importance of these mechanisms in the RNA World. …”
    Get full text
    Article
  4. 8604

    CAMDLES: CFD-DEM Simulation of Microbial Communities in Spaceflight and Artificial Microgravity by Rocky An, Jessica Audrey Lee

    Published 2022-04-01
    “…For microbes that accompany humans into space, microgravity-induced alterations in the fluid environment are likely to be a major factor in the microbial experience of spaceflight. Computational modeling is needed to investigate how well ground-based microgravity simulation methods replicate that experience. …”
    Get full text
    Article
  5. 8605

    Machine learning-assisted high-throughput exploration of interface energy space in multi-phase-field model with CALPHAD potential by Vahid Attari, Raymundo Arroyave

    Published 2022-01-01
    “…Furthermore, we use variational autoencoder, a deep generative neural network method, and label spreading, a semi-supervised machine learning method for establishing correlations between inputs of outputs of the computational model. We clustered the microstructures into three categories (“wetting”, “dewetting”, and “invariant”) using the label spreading method and compared it with the trend observed in the Young-Laplace equation. …”
    Get full text
    Article
  6. 8606

    The NuGrid AGB Evolution and Nucleosynthesis Data Set by Umberto Battino, Marco Pignatari, Ashley Tattersall, Pavel Denissenkov, Falk Herwig

    Published 2022-03-01
    “…Hence, detailed computational models of AGB stars’ evolution and nucleosynthesis are essential for galactic chemical evolution. …”
    Get full text
    Article
  7. 8607

    Cellular mechanisms of reverse epithelial curvature in tissue morphogenesis by Yiran Wang, Daniel Stonehouse-Smith, Daniel Stonehouse-Smith, Martyn T. Cobourne, Martyn T. Cobourne, Jeremy B. A. Green, Maisa Seppala, Maisa Seppala

    Published 2022-11-01
    “…Finally, we describe the emerging techniques in the current investigations, such as organoid culture, computational modelling and live imaging technologies that have been utilized to improve our understanding of the cellular mechanisms in early tissue morphogenesis.…”
    Get full text
    Article
  8. 8608

    Mechanical Fracture of Aluminium Alloy (AA 2024-T4), Used in the Manufacture of a Bioproducts Plant by Luis Fabian Urrego, Olimpo García-Beltrán, Nelson Arzola, Oscar Araque

    Published 2023-06-01
    “…Applying a cyclic load of 1000N, a load ratio R=-1 and a computational model with tetrahedral elements, it was determined that the highest SIF corresponds to the specimen with a 30 mm concentrator with a value close to 460 MPa.mm<sup>0.5</sup>. …”
    Get full text
    Article
  9. 8609

    LaDIVA: A neurocomputational model providing laryngeal motor control for speech acquisition and production. by Hasini R Weerathunge, Gabriel A Alzamendi, Gabriel J Cler, Frank H Guenther, Cara E Stepp, Matías Zañartu

    Published 2022-06-01
    “…Behavioral studies have been used concurrently with computational models to better understand typical and pathological laryngeal motor control. …”
    Get full text
    Article
  10. 8610

    Robot-assisted investigation of sensorimotor control in Parkinson's disease by Yokhesh K. Tamilselvam, Mandar Jog, Rajni V. Patel

    Published 2023-03-01
    “…The PD patients also showed deficits in following the computational models leading to poor motor planning.…”
    Get full text
    Article
  11. 8611

    A realistic arteriovenous dialysis graft model for hemodynamic simulations. by Sjeng Quicken, Barend Mees, Niek Zonnebeld, Jan Tordoir, Wouter Huberts, Tammo Delhaas

    Published 2022-01-01
    “…<h4>Objective</h4>The hemodynamic benefit of novel arteriovenous graft (AVG) designs is typically assessed using computational models that assume highly idealized graft configurations and/or simplified boundary conditions representing the peripheral vasculature. …”
    Get full text
    Article
  12. 8612

    Pattems and models of flowering of some Gampanulaceae Juss. species by E. S. Fomin, T. I. Fomina

    Published 2018-11-01
    “…Observation data were processed by standard statistical methods and used to construct stochastic computer models of flowering shoots, while omissions in data were restored by using the maximum likelihood method. …”
    Get full text
    Article
  13. 8613

    Hydrodynamic Analysis of a Flopping NACA0012 Hydrofoil and Dolphin Fish-Like Model by T. Prabu, A. Firthouse, A. M. Baranitharan

    Published 2024-01-01
    “…The objective of the work is to achieve the desired oscillating amplitude by simulating the NACA 0012 profile using computational models and Set up the swimming movement of the dolphin, imitating a fish like model. …”
    Get full text
    Article
  14. 8614

    ON THE ISSUE OF ESTABLISHING THE DURATION OF WELL DRILLING WITHOUT THE DRILL STRING ROTATION by Sergey N. Kharlamov, Mehran Janghorbani, Maxim R. Bryksin

    Published 2022-09-01
    “…Methods for studying the processes under consideration are based on integrated approach to physical, mathematical and computer modeling of hydrodynamics and convective mass transfer in heterogeneous inhomogeneous continuous media complicated by rheological non-Newtonian effects; combined direct and indirect analysis of the capabilities of the constructed model to predict the essence of cleaning and drilling wells by comparing the simulation results with the available experimental data. …”
    Get full text
    Article
  15. 8615

    Modelling Renal Filtration and Reabsorption Processes in a Human Glomerulus and Proximal Tubule Microphysiological System by Stephanie Y. Zhang, Gretchen J. Mahler

    Published 2021-08-01
    “…This system was optimized geometrically (tubing length, tubing internal diameter, and inlet flow rate) using in silico computational modeling. The prototype tri-culture MPS successfully filtered blood serum protein and generated albumin filtration in a physiologically realistic manner, while the device cultured only with proximal tubule cells did not. …”
    Get full text
    Article
  16. 8616
  17. 8617

    Critically synchronized brain waves form an effective, robust and flexible basis for human memory and learning by Vitaly L. Galinsky, Lawrence R. Frank

    Published 2023-03-01
    “…This lack of a solid theoretical framework has implications not only for our understanding of how the brain works, but also for wide range of computational models developed from the standard orthodox view of brain neuronal organization and brain network derived functioning based on the Hodgkin–Huxley ad-hoc circuit analogies that have produced a multitude of Artificial, Recurrent, Convolution, Spiking, etc., Neural Networks (ARCSe NNs) that have in turn led to the standard algorithms that form the basis of artificial intelligence (AI) and machine learning (ML) methods. …”
    Get full text
    Article
  18. 8618

    Fludarabine, a Potential DNA-Dependent RNA Polymerase Inhibitor, as a Prospective Drug against Monkeypox Virus: A Computational Approach by Hisham N. Altayb

    Published 2022-09-01
    “…We virtually screened a library of 1615 FDA-approved compounds, utilizing different in-silico approaches including computational modeling, molecular docking, molecular dynamic (MD) simulation, and MM-GBSA. …”
    Get full text
    Article
  19. 8619

    Rational Generation of Monoclonal Antibodies Selective for Pathogenic Forms of Alpha-Synuclein by Ebrima Gibbs, Beibei Zhao, Andrei Roman, Steven S. Plotkin, Xubiao Peng, Shawn C. C. Hsueh, Adekunle Aina, Jing Wang, Clay Shyu, Calvin K. Yip, Sung-Eun Nam, Johanne M. Kaplan, Neil R. Cashman

    Published 2022-09-01
    “…To generate antibodies capable of selectively targeting pathogenic forms of α-Syn, computational modeling was used to predict conformational epitopes likely to become exposed on oligomers and small soluble fibrils, but not on monomers or fully formed insoluble fibrils. …”
    Get full text
    Article
  20. 8620

    Altered contractility in mutation-specific hypertrophic cardiomyopathy: A mechano-energetic in silico study with pharmacological insights by Mohamadamin Forouzandehmehr, Michelangelo Paci, Jussi T Koivumäki, Jari Hyttinen

    Published 2022-10-01
    “…However, the molecular mechanism affecting cardiac contractility regulation, and the diseased cell mechano-energetics are not fully understood yet.Methods: We present a new metabolite-sensitive computational model of human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) electromechanics to investigate the pathology of R403Q HCM mutation and the effect of MAVA, BLEB, and OM on the cell mechano-energetics.Results: We offer a mechano-energetic HCM calibration of the model, capturing the prolonged contractile relaxation due to R403Q mutation (∼33%), without assuming any further modifications such as an additional Ca2+ flux to the thin filaments. …”
    Get full text
    Article