Artículos de revistas sobre el tema "Mechanistic Computational Model"
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Martina Perez, Simon, Heba Sailem y Ruth E. Baker. "Efficient Bayesian inference for mechanistic modelling with high-throughput data". PLOS Computational Biology 18, n.º 6 (21 de junio de 2022): e1010191. http://dx.doi.org/10.1371/journal.pcbi.1010191.
Texto completoHearle, J. W. S. y A. H. Wilkins. "Mechanistic modelling of pilling. Part II: Individual-fibre computational model". Journal of the Textile Institute 97, n.º 4 (julio de 2006): 369–76. http://dx.doi.org/10.1533/joti.2005.0164.
Texto completoZabihi, Azam, John Tello, Sebastien Incerti, Ziad Francis, Ghasem Forozani, Farid Semsarha, Amir Moslehi y Mario A. Bernal. "Determination of fast neutron RBE using a fully mechanistic computational model". Applied Radiation and Isotopes 156 (febrero de 2020): 108952. http://dx.doi.org/10.1016/j.apradiso.2019.108952.
Texto completoKraikivski, Pavel. "A Dynamic Mechanistic Model of Perceptual Binding". Mathematics 10, n.º 7 (1 de abril de 2022): 1135. http://dx.doi.org/10.3390/math10071135.
Texto completoDas, Shubhajit y Swapan K. Pati. "Unravelling the mechanism of tin-based frustrated Lewis pair catalysed hydrogenation of carbonyl compounds". Catalysis Science & Technology 8, n.º 20 (2018): 5178–89. http://dx.doi.org/10.1039/c8cy01227j.
Texto completoZhao, Chen, Adam C. Mirando, Richard J. Sové, Thalyta X. Medeiros, Brian H. Annex y Aleksander S. Popel. "A mechanistic integrative computational model of macrophage polarization: Implications in human pathophysiology". PLOS Computational Biology 15, n.º 11 (18 de noviembre de 2019): e1007468. http://dx.doi.org/10.1371/journal.pcbi.1007468.
Texto completoWright, A. Armean, Ghassan N. Fayad, James F. Selgrade y Mette S. Olufsen. "Mechanistic model of hormonal contraception". PLOS Computational Biology 16, n.º 6 (29 de junio de 2020): e1007848. http://dx.doi.org/10.1371/journal.pcbi.1007848.
Texto completoSharifi, Soroosh y Arash Massoudieh. "A novel hybrid mechanistic-data-driven model identification framework using NSGA-II". Journal of Hydroinformatics 14, n.º 3 (6 de marzo de 2012): 697–715. http://dx.doi.org/10.2166/hydro.2012.026.
Texto completoRamatsoma, Mafeni S. y Evans M. N. Chirwa. "Computational simulation of flocculent sedimentation based on experimental results". Water Science and Technology 65, n.º 6 (1 de marzo de 2012): 1007–13. http://dx.doi.org/10.2166/wst.2012.923.
Texto completoPeterson, D. E., R. V. Lalla, R. Srivastava y L. M. Loew. "Mucositis in cancer patients: Prototypic semi-mechanistic kinetic model". Journal of Clinical Oncology 25, n.º 18_suppl (20 de junio de 2007): 19617. http://dx.doi.org/10.1200/jco.2007.25.18_suppl.19617.
Texto completoDarmon, David. "Discrete Information Dynamics with Confidence via the Computational Mechanics Bootstrap: Confidence Sets and Significance Tests for Information-Dynamic Measures". Entropy 22, n.º 7 (17 de julio de 2020): 782. http://dx.doi.org/10.3390/e22070782.
Texto completoRożeń, Antoni. "A Mechanistic Model of a Passive Autocatalytic Hydrogen Recombiner". Chemical and Process Engineering 36, n.º 1 (1 de marzo de 2015): 3–19. http://dx.doi.org/10.1515/cpe-2015-0001.
Texto completoMai, Tam V. T. y Lam K. Huynh. "Comment on “Atmospheric chemistry of oxazole: the mechanism and kinetic studies on oxidation reaction initiated by OH radicals” by A. Shiroudi, M. A. Abdel-Rahman, A. M. El-Nahas and M. Altarawneh, New J. Chem., 2021, 45, 2237". New Journal of Chemistry 45, n.º 30 (2021): 13644–48. http://dx.doi.org/10.1039/d1nj01020d.
Texto completoZhao, Chen, Thalyta X. Medeiros, Richard J. Sové, Brian H. Annex y Aleksander S. Popel. "A data-driven computational model enables integrative and mechanistic characterization of dynamic macrophage polarization". iScience 24, n.º 2 (febrero de 2021): 102112. http://dx.doi.org/10.1016/j.isci.2021.102112.
Texto completoLiorni, Ilaria, Esra Neufeld, Sven Kühn, Manuel Murbach, Earl Zastrow, Wolfgang Kainz y Niels Kuster. "Novel mechanistic model and computational approximation for electromagnetic safety evaluations of electrically short implants". Physics in Medicine & Biology 63, n.º 22 (12 de noviembre de 2018): 225015. http://dx.doi.org/10.1088/1361-6560/aae94c.
Texto completoBreen, Michael S., Daniel L. Villeneuve, Miyuki Breen, Gerald T. Ankley y Rory B. Conolly. "Mechanistic Computational Model of Ovarian Steroidogenesis to Predict Biochemical Responses to Endocrine Active Compounds". Annals of Biomedical Engineering 35, n.º 6 (13 de abril de 2007): 970–81. http://dx.doi.org/10.1007/s10439-007-9309-7.
Texto completoCalmus, Ryan, Benjamin Wilson, Yukiko Kikuchi y Christopher I. Petkov. "Structured sequence processing and combinatorial binding: neurobiologically and computationally informed hypotheses". Philosophical Transactions of the Royal Society B: Biological Sciences 375, n.º 1791 (16 de diciembre de 2019): 20190304. http://dx.doi.org/10.1098/rstb.2019.0304.
Texto completoZheng, Sainan, Shiwei Xu, Jinghong Zhou, Rongchun Shen, Yang Ji, Ming Shen y Wei Li. "Insight into the Claisen condensation of methyl acetate and dimethyl carbonate to dimethyl malonate". New Journal of Chemistry 42, n.º 9 (2018): 6689–94. http://dx.doi.org/10.1039/c7nj04958g.
Texto completoO'Reilly, Randall C. y Michael J. Frank. "Making Working Memory Work: A Computational Model of Learning in the Prefrontal Cortex and Basal Ganglia". Neural Computation 18, n.º 2 (1 de febrero de 2006): 283–328. http://dx.doi.org/10.1162/089976606775093909.
Texto completoMamlouk, Michael S. y Magdy Y. Mikhail. "Concept for Mechanistic-Based Performance Model for Flexible Pavements". Transportation Research Record: Journal of the Transportation Research Board 1629, n.º 1 (enero de 1998): 149–58. http://dx.doi.org/10.3141/1629-17.
Texto completoGhose, Debraj y Daniel Lew. "Mechanistic insights into actin-driven polarity site movement in yeast". Molecular Biology of the Cell 31, n.º 10 (1 de mayo de 2020): 1085–102. http://dx.doi.org/10.1091/mbc.e20-01-0040.
Texto completoRuiz, Patricia, Claude Emond, Eva D. McLanahan, Shivanjali Joshi-Barr y Moiz Mumtaz. "Exploring Mechanistic Toxicity of Mixtures Using PBPK Modeling and Computational Systems Biology". Toxicological Sciences 174, n.º 1 (18 de diciembre de 2019): 38–50. http://dx.doi.org/10.1093/toxsci/kfz243.
Texto completoGomez, Hector. "How heterogeneity drives tumour growth: a computational study". Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 378, n.º 2171 (13 de abril de 2020): 20190244. http://dx.doi.org/10.1098/rsta.2019.0244.
Texto completoMasison, J., J. Beezley, Y. Mei, HAL Ribeiro, A. C. Knapp, L. Sordo Vieira, B. Adhikari et al. "A modular computational framework for medical digital twins". Proceedings of the National Academy of Sciences 118, n.º 20 (10 de mayo de 2021): e2024287118. http://dx.doi.org/10.1073/pnas.2024287118.
Texto completoAndreeva, Anna A., Mohan Anand, Alexey I. Lobanov, Andrey V. Nikolaev, Mikhail A. Panteleev y Modepalli Susree. "Mathematical modelling of platelet rich plasma clotting. Pointwise unified model". Russian Journal of Numerical Analysis and Mathematical Modelling 33, n.º 5 (27 de noviembre de 2018): 265–76. http://dx.doi.org/10.1515/rnam-2018-0022.
Texto completoSturniolo, Simone, William Waites, Tim Colbourn, David Manheim y Jasmina Panovska-Griffiths. "Testing, tracing and isolation in compartmental models". PLOS Computational Biology 17, n.º 3 (4 de marzo de 2021): e1008633. http://dx.doi.org/10.1371/journal.pcbi.1008633.
Texto completoChipman, Antony, Brian F. Yates, Allan J. Canty y Alireza Ariafard. "Reduction of a platinum(iv) prodrug model by sulfur containing biological reductants: computational mechanistic elucidation". Chemical Communications 54, n.º 74 (2018): 10491–94. http://dx.doi.org/10.1039/c8cc05682j.
Texto completoNaghipoor, Jahed y Timon Rabczuk. "A mechanistic model for drug release from PLGA-based drug eluting stent: A computational study". Computers in Biology and Medicine 90 (noviembre de 2017): 15–22. http://dx.doi.org/10.1016/j.compbiomed.2017.09.001.
Texto completoMitrakos, D., A. Vouros, H. Bougioukou y G. Giustini. "Computational fluid dynamics prediction of subcooled boiling of water using a mechanistic bubble-departure model". Nuclear Engineering and Design 412 (octubre de 2023): 112465. http://dx.doi.org/10.1016/j.nucengdes.2023.112465.
Texto completoSaqr, Khalid M. "Computational fluid dynamics simulations of cerebral aneurysm using Newtonian, power-law and quasi-mechanistic blood viscosity models". Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 234, n.º 7 (19 de mayo de 2020): 711–19. http://dx.doi.org/10.1177/0954411920917531.
Texto completoPinto, José, João R. C. Ramos, Rafael S. Costa y Rui Oliveira. "A General Hybrid Modeling Framework for Systems Biology Applications: Combining Mechanistic Knowledge with Deep Neural Networks under the SBML Standard". AI 4, n.º 1 (1 de marzo de 2023): 303–18. http://dx.doi.org/10.3390/ai4010014.
Texto completoErdős, Balázs, Bart van Sloun, Gijs H. Goossens, Shauna D. O’Donovan, Bastiaan E. de Galan, Marleen M. J. van Greevenbroek, Coen D. A. Stehouwer et al. "Quantifying postprandial glucose responses using a hybrid modeling approach: Combining mechanistic and data-driven models in The Maastricht Study". PLOS ONE 18, n.º 7 (27 de julio de 2023): e0285820. http://dx.doi.org/10.1371/journal.pone.0285820.
Texto completoZhang, Hongbin. "Stochastic EM Algorithm for Joint Model of Logistic Regression and Mechanistic Nonlinear Model in Longitudinal Studies". Mathematics 11, n.º 10 (16 de mayo de 2023): 2317. http://dx.doi.org/10.3390/math11102317.
Texto completoLi, Michael, Jonathan Dushoff y Benjamin M. Bolker. "Fitting mechanistic epidemic models to data: A comparison of simple Markov chain Monte Carlo approaches". Statistical Methods in Medical Research 27, n.º 7 (30 de mayo de 2018): 1956–67. http://dx.doi.org/10.1177/0962280217747054.
Texto completoRaff, David A. y Jorge A. Ramírez. "A physical, mechanistic and fully coupled hillslope hydrology model". International Journal for Numerical Methods in Fluids 49, n.º 11 (2005): 1193–212. http://dx.doi.org/10.1002/fld.1016.
Texto completoRathnayaka, Suresh C., Shahidul M. Islam, Ida M. DiMucci, Samantha N. MacMillan, Kyle M. Lancaster y Neal P. Mankad. "Probing the electronic and mechanistic roles of the μ4-sulfur atom in a synthetic CuZ model system". Chemical Science 11, n.º 13 (2020): 3441–47. http://dx.doi.org/10.1039/c9sc06251c.
Texto completoShvartsman, Stanislav Y., Cyrill B. Muratov y Douglas A. Lauffenburger. "Modeling and computational analysis of EGF receptor-mediated cell communication in Drosophila oogenesis". Development 129, n.º 11 (1 de junio de 2002): 2577–89. http://dx.doi.org/10.1242/dev.129.11.2577.
Texto completoHazy, Thomas E., Michael J. Frank y Randall C. O'Reilly. "Towards an executive without a homunculus: computational models of the prefrontal cortex/basal ganglia system". Philosophical Transactions of the Royal Society B: Biological Sciences 362, n.º 1485 (11 de abril de 2007): 1601–13. http://dx.doi.org/10.1098/rstb.2007.2055.
Texto completoSheehan, Robert, Abhishek Garg, Sarah Gaffen y James Faeder. "A computational model for mechanistic investigation of negative feedback in interleukin-17 receptor signaling (CCR3P.201)". Journal of Immunology 194, n.º 1_Supplement (1 de mayo de 2015): 49.2. http://dx.doi.org/10.4049/jimmunol.194.supp.49.2.
Texto completoYang, Pei-Chi, Kevin R. DeMarco, Parya Aghasafari, Mao-Tsuen Jeng, John R. D. Dawson, Slava Bekker, Sergei Y. Noskov, Vladimir Yarov-Yarovoy, Igor Vorobyov y Colleen E. Clancy. "A Computational Pipeline to Predict Cardiotoxicity". Circulation Research 126, n.º 8 (10 de abril de 2020): 947–64. http://dx.doi.org/10.1161/circresaha.119.316404.
Texto completoZhao, Chen y Aleksander S. Popel. "Protocol for simulating macrophage signal transduction and phenotype polarization using a large-scale mechanistic computational model". STAR Protocols 2, n.º 3 (septiembre de 2021): 100739. http://dx.doi.org/10.1016/j.xpro.2021.100739.
Texto completoHeusinkveld, Maarten H. G., Tammo Delhaas, Joost Lumens, Wouter Huberts, Bart Spronck, Alun D. Hughes y Koen D. Reesink. "Augmentation index is not a proxy for wave reflection magnitude: mechanistic analysis using a computational model". Journal of Applied Physiology 127, n.º 2 (1 de agosto de 2019): 491–500. http://dx.doi.org/10.1152/japplphysiol.00769.2018.
Texto completoSheehan, Robert, Abhishek Garg, Sarah Gaffen y James Faeder. "A computational model for mechanistic investigation of negative feedback in Inerleukin-17 receptor signaling (CCR6P.274)". Journal of Immunology 192, n.º 1_Supplement (1 de mayo de 2014): 182.6. http://dx.doi.org/10.4049/jimmunol.192.supp.182.6.
Texto completoSedlack, Andrew J. H., Rozhin Penjweini, Katie A. Link, Alexandra Brown, Jeonghan Kim, Sung-Jun Park, Jay H. Chung, Nicole Y. Morgan y Jay R. Knutson. "Computational Modeling and Imaging of the Intracellular Oxygen Gradient". International Journal of Molecular Sciences 23, n.º 20 (20 de octubre de 2022): 12597. http://dx.doi.org/10.3390/ijms232012597.
Texto completoFeito, Norberto, José Antonio Loya, Ana Muñoz-Sánchez y Raj Das. "Numerical Modelling of Ballistic Impact Response at Low Velocity in Aramid Fabrics". Materials 12, n.º 13 (28 de junio de 2019): 2087. http://dx.doi.org/10.3390/ma12132087.
Texto completoAlbers, David J., Matthew E. Levine, Andrew Stuart, Lena Mamykina, Bruce Gluckman y George Hripcsak. "Mechanistic machine learning: how data assimilation leverages physiologic knowledge using Bayesian inference to forecast the future, infer the present, and phenotype". Journal of the American Medical Informatics Association 25, n.º 10 (1 de octubre de 2018): 1392–401. http://dx.doi.org/10.1093/jamia/ocy106.
Texto completoMotiwale, Shruti, Adhitya Subramani, Reuben H. Kraft y Xianlian Zhou. "A non-linear multiaxial fatigue damage model for the cervical intervertebral disc annulus". Advances in Mechanical Engineering 10, n.º 6 (junio de 2018): 168781401877949. http://dx.doi.org/10.1177/1687814018779494.
Texto completoYeoh, Guan Heng y Xiaobin Zhang. "Computational fluid dynamics and population balance modelling of nucleate boiling of cryogenic liquids: Theoretical developments". Journal of Computational Multiphase Flows 8, n.º 4 (22 de noviembre de 2016): 178–200. http://dx.doi.org/10.1177/1757482x16674217.
Texto completoLagergren, John, Amanda Reeder, Franz Hamilton, Ralph C. Smith y Kevin B. Flores. "Forecasting and Uncertainty Quantification Using a Hybrid of Mechanistic and Non-mechanistic Models for an Age-Structured Population Model". Bulletin of Mathematical Biology 80, n.º 6 (2 de abril de 2018): 1578–95. http://dx.doi.org/10.1007/s11538-018-0421-7.
Texto completoSavage, G. J. y Young Kap Son. "Second-Moment-Based Design of Dynamic Systems with Both Uncertain Excitations and Parameters Via Differentiable Meta-Models". International Journal of Reliability, Quality and Safety Engineering 26, n.º 04 (2 de junio de 2019): 1950019. http://dx.doi.org/10.1142/s0218539319500190.
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