Academic literature on the topic 'Multi-scale model and Talin'

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Journal articles on the topic "Multi-scale model and Talin"

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Venturini, Chiara, and Pablo Sáez. "A multi-scale clutch model for adhesion complex mechanics." PLOS Computational Biology 19, no. 7 (2023): e1011250. http://dx.doi.org/10.1371/journal.pcbi.1011250.

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Cell-matrix adhesion is a central mechanical function to a large number of phenomena in physiology and disease, including morphogenesis, wound healing, and tumor cell invasion. Today, how single cells respond to different extracellular cues has been comprehensively studied. However, how the mechanical behavior of the main individual molecules that form an adhesion complex cooperatively responds to force within the adhesion complex is still poorly understood. This is a key aspect of cell adhesion because how these cell adhesion molecules respond to force determines not only cell adhesion behavi
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Nishimura, Satoshi, Koji Eto, and Ryozo Nagai. "Thrombus Development Processes Are Dependent On Endothelial Injuries: Examined By In Vivo Molecular Imaging." Blood 122, no. 21 (2013): 1070. http://dx.doi.org/10.1182/blood.v122.21.1070.1070.

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Abstract The thrombotic cellular mechanisms associated with cardiovascular events remains unclear, largely because of an inability to visualize thrombus formation. In addition, the contribution of endothelial cell (EC) injuries to thrombus formation processes are unclear, and we developed in vivo imaging technique based on single- and multi-photon microscopy to revealed the multicellular processes during thrombus development (Figure a,b). We visualized the cell dynamics including single platelet behavior, and assessed dynamic cellular interplay in two thrombosis models. First, we visualized th
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Zhou, Yatong, Taiyi Zhang, and Xiaohe Li. "Multi-scale Gaussian Processes model." Journal of Electronics (China) 23, no. 4 (2006): 618–22. http://dx.doi.org/10.1007/s11767-005-0209-4.

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Demin, I., F. Crauste, O. Gandrillon, and V. Volpert. "A multi-scale model of erythropoiesis." Journal of Biological Dynamics 4, no. 1 (2010): 59–70. http://dx.doi.org/10.1080/17513750902777642.

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YONEMOTO, Yukihiro, and Tomoaki KUNUGI. "Multi-Scale Gas-Liquid Interfacial Model." Transactions of the Japan Society of Mechanical Engineers Series B 74, no. 737 (2008): 96–101. http://dx.doi.org/10.1299/kikaib.74.96.

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Stepanov, R., P. Frick, and D. Sokoloff. "A multi-scale disk dynamo model." Astronomische Nachrichten 327, no. 5-6 (2006): 481–82. http://dx.doi.org/10.1002/asna.200610564.

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XIE, Wenjie, De XU, Yingjun TANG, and Geng CUI. "Multi-Scale Multi-Level Generative Model in Scene Classification." IEICE Transactions on Information and Systems E94-D, no. 1 (2011): 167–70. http://dx.doi.org/10.1587/transinf.e94.d.167.

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Chen, Shaopei, Jianjun Tan, Christophe Claramunt, and Cyril Ray. "Multi-scale and multi-modal GIS-T data model." Journal of Transport Geography 19, no. 1 (2011): 147–61. http://dx.doi.org/10.1016/j.jtrangeo.2009.09.006.

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Viaña, Raquel, Paola Magillo, Enrico Puppo, and Pedro A. Ramos. "Multi-VMap: A Multi-Scale Model for Vector Maps." GeoInformatica 10, no. 3 (2006): 359–94. http://dx.doi.org/10.1007/s10707-006-9832-y.

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Samadiani, Emad, and Yogendra Joshi. "Multi-parameter model reduction in multi-scale convective systems." International Journal of Heat and Mass Transfer 53, no. 9-10 (2010): 2193–205. http://dx.doi.org/10.1016/j.ijheatmasstransfer.2009.12.013.

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Dissertations / Theses on the topic "Multi-scale model and Talin"

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Butcher, Cliff. "A Multi-Scale Damage Percolation Model Of Ductile Fracture." Thesis, Fredericton: University of New Brunswick, 2011. http://hdl.handle.net/1882/35391.

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The traditional approach to modeling ductile fracture involves homogenizing the microstructure of a material into a simple, equivalent geometry from which the relevant constitutive laws can be derived. While attractive from a modeling perspective, critical details of the microstructure are lost in this homogenization process such as the particle size, shape, orientation, distribution and degree of clustering. Since void initiation and evolution is a highly localized phenomenon originating within heterogeneous particle clusters, these models fail to accurately predict fracture. These limitation
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Bonis, Ioannis. "Optimisation and control methodologies for large-scale and multi-scale systems." Thesis, University of Manchester, 2011. https://www.research.manchester.ac.uk/portal/en/theses/optimisation-and-control-methodologies-for-largescale-and-multiscale-systems(6c4a4f13-ebae-4d9d-95b7-cca754968d47).html.

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Distributed parameter systems (DPS) comprise an important class of engineering systems ranging from "traditional" such as tubular reactors, to cutting edge processes such as nano-scale coatings. DPS have been studied extensively and significant advances have been noted, enabling their accurate simulation. To this end a variety of tools have been developed. However, extending these advances for systems design is not a trivial task . Rigorous design and operation policies entail systematic procedures for optimisation and control. These tasks are "upper-level" and utilize existing models and simu
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Chew, Yin Hoon. "Multi-scale whole-plant model of Arabidopsis growth to flowering." Thesis, University of Edinburgh, 2013. http://hdl.handle.net/1842/8008.

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In this study, theoretical and experimental approaches were combined, using Arabidopsis as the studied species. The multi-scale model incorporates the following, existing sub-models: a phenology model that can predict the flowering time of plants grown in the field, a gene circuit of the circadian clock network that regulates flowering through the photoperiod pathway, a process-based model describing carbon assimilation and resource partitioning, and a functional-structural module that determines shoot structure for light interception and root growth. First, the phenology model was examined on
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Deserranno, Dimitri. "A Multi-Scale Finite Element Model of the Cardiac Ventricles." Case Western Reserve University School of Graduate Studies / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=case1148984314.

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Saavedra, Flores Erick Isaac. "Computational multi-scale constitutive model for wood cell-wall mechanics." Thesis, Swansea University, 2011. https://cronfa.swan.ac.uk/Record/cronfa43160.

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Paquet, Daniel. "Adaptive Multi-level Model for Multi-scale Ductile Fracture Analysis in Heterogeneous Aluminum Alloys." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1324565883.

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Raghavan, Prasanna. "Multi-scale analysis of elastic and debonding composites by an adaptive multi-level computational model." Columbus, Ohio : Ohio State University, 2004. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1073013372.

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Thesis (Ph. D.)--Ohio State University, 2004.<br>Title from first page of PDF file. Document formatted into pages; contains xvi, 162 p.; also includes graphics (some col.). Includes abstract and vita. Advisor: Somnath Ghosh, Dept. of Mechanical Engineering. Includes bibliographical references (p. 155-162).
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Rukavina, Tea. "Multi-scale damage model of fiber-reinforced concrete with parameter identification." Thesis, Compiègne, 2018. http://www.theses.fr/2018COMP2460/document.

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Dans cette thèse, plusieurs approches de modélisation de composites renforcés par des fibres sont proposées. Le matériau étudié est le béton fibré, et dans ce modèle, on tient compte de l’influence de trois constituants : le béton, les fibres, et la liaison entre eux. Le comportement du béton est analysé avec un modèle d’endommagement, les fibres d'acier sont considérées comme élastiques linéaires, et le comportement sur l'interface est décrit avec une loi de glissement avec l’extraction complète de la fibre. Une approche multi-échelle pour coupler tous les constituants est proposée, dans laqu
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Thatte, Azam. "Multi-scale multi-physics model and hybrid computational framework for predicting dynamics of hydraulic rod seals." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/37272.

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Rod seals are one of the most critical components of hydraulic systems. However, the fundamental physics of seal behavior is still poorly understood and the seal designers have virtually no analytical tools with which to predict the behavior of potential seal designs. In pursuit of a comprehensive physics based seal analysis/ design tool, in this work, a multi-scale multi-physics (MSMP) seal model is developed. The model solves the transient problem involving macro-scale viscoelastic deformation mechanics, macro-scale contact, micro-scale two phase fluid mechanics in the sealing zone, micro-sc
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Schindler, Felix [Verfasser], and Mario [Akademischer Betreuer] Ohlberger. "Model reduction for parametric multi-scale problems / Felix Schindler ; Betreuer: Mario Ohlberger." Münster : Universitäts- und Landesbibliothek Münster, 2016. http://d-nb.info/1140917668/34.

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Books on the topic "Multi-scale model and Talin"

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Stam, Jos. A multi-scale stochastic model for computer graphics. National Library of Canada = Bibliothèque nationale du Canada, 1991.

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Stam, Jos. A multi-scale stochastic model for computer graphics. University of Toronto, Dept. of Computer Science, 1991.

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Stewart, Dianne. A model of a multi-product bank with multi-economies of scale. Department of Economics, School of Oriental and African Studies, University of London, 1992.

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Legoh, Finarya. Acoustic design and scale model testing of a multi-purpose auditorium. University of Salford, 1988.

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Kim, Gi-Heon. Evaluation study for large prismatic lithium-ion cell designs using multi-scale multi-dimensional battery model. National Renewable Energy Laboratory, 2009.

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Gile, Laflin Brenda E., and Langley Research Center, eds. Wind tunnel results of the aerodynamic performance of a 1/8-scale model of a twin-engine transport with multi-element wing. National Aeronautics and Space Administration, Langley Research Center, 1997.

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National Aeronautics and Space Administration (NASA) Staff. Wind Tunnel Results of the Aerodynamic Performance of a 1/8-Scale Model of a Twin-Engine Transport with Multi-Element Wing. Independently Published, 2018.

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Low Choy, Samantha, Justine Murray, Allan James, and Kerrie Mengersen. Combining monitoring data and computer model output in assessing environmental exposure. Edited by Anthony O'Hagan and Mike West. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198703174.013.18.

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This article discusses an approach that combines monitoring data and computer model outputs for environmental exposure assessment. It describes the application of Bayesian data fusion methods using spatial Gaussian process models in studies of weekly wet deposition data for 2001 from 120 sites monitored by the US National Atmospheric Deposition Program (NADP) in the eastern United States. The article first provides an overview of environmental computer models, with a focus on the CMAQ (Community Multi-Scale Air Quality) Eta forecast model, before considering some algorithmic and pseudo-statist
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Cushman, Samuel A., and Tzeidle N. Wasserman. Quantifying loss and degradation of former American marten habitat due to the impacts of forestry operations and associated road networks in northern Idaho, USA. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198759805.003.0012.

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American marten are associated with extensive and unfragmented late seral forest habitats, and are often considered to be particularly vulnerable to habitat loss and fragmentation. This chapter evaluates the impact of road building and timber harvest on habitat suitability for marten in northern Idaho, USA, using an empirically derived, multi-scale habitat suitability model, reconstructing key predictor variables (elevation, forest type, road density, canopy cover, landscape fragmentation and the extensiveness of late seral forest in the landscape) as they appear to have existed prior to harve
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Zeitlin, Vladimir. Geophysical Fluid Dynamics. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198804338.001.0001.

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The book explains the key notions and fundamental processes in the dynamics of the fluid envelopes of the Earth (transposable to other planets), and methods of their analysis, from the unifying viewpoint of rotating shallow-water model (RSW). The model, in its one- or two-layer versions, plays a distinguished role in geophysical fluid dynamics, having been used for around a century for conceptual understanding of various phenomena, for elaboration of approaches and methods, to be applied later in more complete models, for development and testing of numerical codes and schemes of data assimilat
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Book chapters on the topic "Multi-scale model and Talin"

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Björnsson, Julius K. "Teaching Culturally Diverse Student Groups in the Nordic Countries—What Can the TALIS 2018 Data Tell Us?" In Equity, Equality and Diversity in the Nordic Model of Education. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61648-9_4.

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AbstractAlmost all Nordic classrooms have some or a considerable number of students with a native language different from the language of instruction. Therefore, most Nordic teachers have to address the issues this setting imposes on them. The chapter is concerned with teachers’ attitudes and experiences of teaching in a multicultural setting—that is, variations in their perceived self-efficacy in multicultural classrooms. The TALIS study is used to explore these effects and relate teacher experiences with the issues of equity and diversity. Our analysis includes all five Nordic countries. A linear regression approach was used, taking into account the multi-stage sampling in TALIS. The results indicate that general self-efficacy in teaching and not specific multicultural knowledge or experience has the most significant influence on the experienced ability to handle a multicultural setting. This is a somewhat surprising, albeit reassuring, result, as it indicates that a good and trustworthy teacher education and functional general teacher competencies are the most essential ingredients in adequately handling a multicultural classroom.
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Yan, Haowen, and Jonathan Li. "Model Validations." In Spatial Similarity Relations in Multi-scale Map Spaces. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09743-5_5.

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Morelle, P., and V. Braibant. "Multi-Model Optimization of Large Scale Structures." In Optimization of Large Structural Systems. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-010-9577-8_57.

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Fernández, Juan A., and Javier González. "A Formal Model of Multiple Abstraction." In Multi-Hierarchical Representation of Large-Scale Space. Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-015-9666-4_3.

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de Luca, Mariarita, and Antonio DeSimone. "Elastomeric Gels: A Model and First Results." In Innovative Numerical Approaches for Multi-Field and Multi-Scale Problems. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39022-2_4.

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Nguyen, Phi-Bang, Marie Luong, and Azeddine Beghdadi. "Perceptual Watermarking Using a Multi-scale JNC Model." In Intelligent Information and Database Systems. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12101-2_48.

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Czaja, Benjamin, Gábor Závodszky, and Alfons Hoekstra. "A Heterogeneous Multi-scale Model for Blood Flow." In Lecture Notes in Computer Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50433-5_31.

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Stoter, J. E., J. M. Morales, R. L. G. Lemmens, et al. "A Data Model for Multi-scale Topographical Data." In Headway in Spatial Data Handling. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-68566-1_14.

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Li, Ya, Renchao Qin, Yaying He, Yue Shu, and Ruilin Jiang. "MSTRM: An Efficient Multi-scale Text Recognition Model." In Proceedings of International Conference on Image, Vision and Intelligent Systems 2022 (ICIVIS 2022). Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0923-0_28.

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Pandolfi, Anna, Maria Laura De Bellis, and Gabriele Della Vecchia. "A Multiscale Microstructural Model of Permeability in Fractured Solids." In Innovative Numerical Approaches for Multi-Field and Multi-Scale Problems. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39022-2_12.

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Conference papers on the topic "Multi-scale model and Talin"

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Jones, Alistair, Atman Kendira, Dominique Lenne, Thierry Gidel, and Claude Moulin. "The TATIN-PIC project: A multi-modal collaborative work environment for preliminary design." In 2011 15th International Conference on Computer Supported Cooperative Work in Design (CSCWD). IEEE, 2011. http://dx.doi.org/10.1109/cscwd.2011.5960069.

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Monsen, E., R. Randen, and L. Sonneland. "Multi-Scale Volume Model Building." In 67th EAGE Conference & Exhibition. European Association of Geoscientists & Engineers, 2005. http://dx.doi.org/10.3997/2214-4609-pdb.1.p297.

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Monsen, E., T. Randen, and L. Sonneland. "Multi‐scale volume model building." In SEG Technical Program Expanded Abstracts 2005. Society of Exploration Geophysicists, 2005. http://dx.doi.org/10.1190/1.2148279.

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Vanoost, D., S. Steentjes, J. Peuteman, et al. "Grain scale hysteresis model embedded in a multi-scale material model." In 2015 IEEE International Magnetics Conference (INTERMAG). IEEE, 2015. http://dx.doi.org/10.1109/intmag.2015.7156789.

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Hu, L. B., H. Peron, L. Laloui, and T. Hueckel. "A Multi-Scale Multi-Physics Model of Soil Drying." In Geo-Frontiers Congress 2011. American Society of Civil Engineers, 2011. http://dx.doi.org/10.1061/41165(397)445.

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Duan, QJ. "A Concept of Multi-Robots Multi-Scale Coordination Model." In 2008 Fourth International Conference on Natural Computation. IEEE, 2008. http://dx.doi.org/10.1109/icnc.2008.581.

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Bollinger, L. A. "Multi-Model Ecologies For Addressing Multi-Scale, Multi-Perspective Policy Problems." In 27th Conference on Modelling and Simulation. ECMS, 2013. http://dx.doi.org/10.7148/2013-0681.

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Yubo Yang, Chengqi Cheng, and Hui Guo. "Image-based Multi-scale Subdivisional Expression Model." In 2010 2nd Conference on Environmental Science and Information Application Technology (ESIAT). IEEE, 2010. http://dx.doi.org/10.1109/esiat.2010.5568926.

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KRIVENTSEV, VLADIMIR, AKIRA YAMAGUCHI, and HISASHI NINOKATA. "MULTI-SCALE VISCOSITY (MSV) MODEL OF TURBULENCE." In Proceedings of the 8th International Symposium on Flow Modeling and Turbulence Measurements. WORLD SCIENTIFIC, 2002. http://dx.doi.org/10.1142/9789812777591_0070.

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Yuan, Jin, and Hongliang Yu. "Multi-scale Generative Model for Image Completion." In ACAI 2019: 2019 2nd International Conference on Algorithms, Computing and Artificial Intelligence. ACM, 2019. http://dx.doi.org/10.1145/3377713.3377716.

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Reports on the topic "Multi-scale model and Talin"

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Hamann, Hendrik F. A Multi-scale, Multi-Model, Machine-Learning Solar Forecasting Technology. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1395344.

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Kenamond, Mark A. (U) Multi-Scale Friction Model in FLAG. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1133757.

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Cornuelle, Bruce D. Collaborative Proposal: Ocean Currents Forecasts Using Multi-model, Multi-scale Assimilation. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada598641.

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Grujicic, Mica. Multi-length Scale Material Model Development for Armorgrade Composites. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada605327.

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Glascoe, L., T. A. Buscheck, J. Gansemer, and Y. Sun. The Multi-Scale Model Approach to Thermohydrology at Yucca Mountain. Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/15004198.

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D. A. Hughes, D. J. Bammann, A. Godfrey, et al. Capturing recrystallization of metals with a multi-scale materials model. Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/755112.

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Ye, Ming. Multi-Model and Multi-Scale Global Sensitivity Analysis for Identifying Controlling Processes of Complex Systems. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1724677.

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Barhak, Jacob. Supplemental Information: The Reference Model is a Multi-Scale Ensemble Model of COVID-19. Outbreak, 2021. http://dx.doi.org/10.34235/b7eaa32b-1a6b-444f-9848-76f83f5a733c.

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The COVID-19 pandemic has accelerated research worldwide and resulted in a large number of computational models and initiatives. Models were mostly aimed at forecast and resulted in different predictions partially since models were based on different assumptions. In fact the idea that a computational model is just an assumption attempting to explain a phenomenon has not been sufficiently explored. Moreover, the ability to combine models has not been fully realized. The Reference Model for disease progression was performing this task for years for diabetes models and recently started modeling C
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Sisti, Alex F. Large-Scale Battlefield Simulation Using a Multi-Level Model Integration Methodology. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada251357.

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Glascoe, L. G., T. A. Buscheck, G. A. Loosmore, and Y. Sun. Multi-Scale Thermohydrologic Model Sensitivity-Study Calculations in Support of the SSPA. Office of Scientific and Technical Information (OSTI), 2001. http://dx.doi.org/10.2172/15005674.

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