Готові списки джерел за темами / Multi-scale model and Talin

Добірка наукової літератури з теми "Multi-scale model and Talin"

Автор: Grafiati
Опубліковано: 6 вересня 2023

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Статті в журналах з теми "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 (July 14, 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 behavior but, ultimately, cell function. To answer this question, we develop a multi-scale computational model for adhesion complexes mechanics. We extend the classical clutch hypothesis to model individual adhesion chains made of a contractile actin network, a talin rod, and an integrin molecule that binds at individual adhesion sites on the extracellular matrix. We explore several scenarios of integrins dynamics and analyze the effects of diverse extracellular matrices on the behavior of the adhesion molecules and on the whole adhesion complex. Our results describe how every single component of the adhesion chain mechanically responds to the contractile actomyosin force and show how they control the traction forces exerted by the cell on the extracellular space. Importantly, our computational results agree with previous experimental data at the molecular and cellular levels. Our multi-scale clutch model presents a step forward not only to further understand adhesion complexes mechanics but also to impact, e.g., the engineering of biomimetic materials, tissue repairment, or strategies to arrest tumor progression.
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2

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 (November 15, 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 that rapidly developing thrombi composed of discoid platelets without EC disruption was triggered by ROS photochemically induced by moderate power laser irradiation (Figure c). In this model, thrombus consisted by discoid platelet aggregations without leukocyte recruitment. The second model is, thrombus with EC disruption. High power laser induced EC erosion and extravasations of circulating leukocytes with thrombus development. Inflammatory cytokine, adhesion molecules dynamically control these two processes. (Figure d)Figure.Figure. Using this technique, we elucidated that Lnk (adapter protein) regulates integrin signaling leading to stabilization of developing thrombus without EC disruption. Specifically, adhesion molecules dynamically control these processes. Thrombus formation was initiated by the binding of platelet GPIb-alpha to endothelial von Willebrand Factor in this model, and actin linker talin-dependent activation of alphaIIb-beta3 integrin in platelets was required for late phase thrombus stability. As for the thrombus formation with EC disruption, chemokine expressions in endothelium and leukocyte (especially neutrophils) recruitment played a significant role in these processes. TLR4 signaling also contributed to these steps. In sum, using our imaging system can be a powerful tool to analyze thrombus formation and evaluate the therapeutic strategies. Disclosures: No relevant conflicts of interest to declare.
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3

Zhou, Yatong, Taiyi Zhang, and Xiaohe Li. "Multi-scale Gaussian Processes model." Journal of Electronics (China) 23, no. 4 (July 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 (January 2010): 59–70. http://dx.doi.org/10.1080/17513750902777642.

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5

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 (June 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 (January 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 (September 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 (April 2010): 2193–205. http://dx.doi.org/10.1016/j.ijheatmasstransfer.2009.12.013.

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Дисертації з теми "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 limitations can be overcome using a promising new technique known as damage percolation modeling that requires no idealizations or approximations of the microstructure. In this approach, digital imaging techniques or x-ray microtomography can be used to obtain the particle distribution in a material. Using this information, micromechanical models are applied to characterize void and crack formation leading to failure at the individual particle scale. The damage percolation model represents the future in material modeling as it directly relates changes in the local microstructure to the overall material behaviour. In this research, the first fully-coupled multi-scale damage percolation model has been developed to predict fracture in advanced materials with heterogeneous particle distributions. In the first phase of this work, a sophisticated damage percolation model is developed using the latest micromechanical models to characterize void nucleation, growth, and coalescence in three-dimensions for general loading conditions. A novel strategy is proposed to determine the stress state within the reinforcing particles and inclusions to facilitate the development of a void nucleation model based solely upon the particle properties. The percolation model was implemented into a commercial finite-element code using so-called “percolation elements” to capture the complex stress- and strain-gradients that develop during deformation. A particle field generator is developed and integrated into the finite-element code to create representative particle distributions within the percolation elements to provide stochastic predictions of fracture that reflect the experimental variation. Finally, the percolation model is validated numerically and experimentally for an automotive-grade aluminum alloy in a notched tensile test used for material characterization. The complete multi-scale percolation model predicts fracture as a direct consequence of the stress state, material properties and the local conditions within the microstructure.
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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 simulators. The higher the accuracy of the underlying models, the more the design procedure benefits. However, employing such models in the context of conventional algorithms may lead to inefficient formulations. The optimisation and control of DPS is a challenging task. These systems are typically discretised over a computational mesh, leading to large-scale problems. Handling the resulting large-scale systems may prove to be an intimidating task and requires special methodologies. Furthermore, it is often the case that the underlying physical phenomena span various temporal and spatial scales, thus complicating the analysis. Stiffness may also potentially be exhibited in the (nonlinear) models of such phenomena. The objective of this work is to design reliable and practical procedures for the optimisation and control of DPS. It has been observed in many systems of engineering interest that although they are described by infinite-dimensional Partial Differential Equations (PDEs) resulting in large discretisation problems, their behaviour has a finite number of significant components , as a result of their dissipative nature. This property has been exploited in various systematic model reduction techniques. Of key importance in this work is the identification of a low-dimensional dominant subspace for the system. This subspace is heuristically found to correspond to part of the eigenspectrum of the system and can therefore be identified efficiently using iterative matrix-free techniques. In this light, only low-dimensional Jacobians and Hessian matrices are involved in the formulation of the proposed algorithms, which are projections of the original matrices onto appropriate low-dimensional subspaces, computed efficiently with directional perturbations.The optimisation algorithm presented employs a 2-step projection scheme, firstly onto the dominant subspace of the system (corresponding to the right-most eigenvalues of the linearised system) and secondly onto the subspace of decision variables. This algorithm is inspired by reduced Hessian Sequential Quadratic Programming methods and therefore locates a local optimum of the nonlinear programming problem given by solving a sequence of reduced quadratic programming (QP) subproblems . This optimisation algorithm is appropriate for systems with a relatively small number of decision variables. Inequality constraints can be accommodated following a penalty-based strategy which aggregates all constraints using an appropriate function , or by employing a partial reduction technique in which only equality constraints are considered for the reduction and the inequalities are linearised and passed on to the QP subproblem . The control algorithm presented is based on the online adaptive construction of low-order linear models used in the context of a linear Model Predictive Control (MPC) algorithm , in which the discrete-time state-space model is recomputed at every sampling time in a receding horizon fashion. Successive linearisation around the current state on the closed-loop trajectory is combined with model reduction, resulting in an efficient procedure for the computation of reduced linearised models, projected onto the dominant subspace of the system. In this case, this subspace corresponds to the eigenvalues of largest magnitude of the discretised dynamical system. Control actions are computed from low-order QP problems solved efficiently online.The optimisation and control algorithms presented may employ input/output simulators (such as commercial packages) extending their use to upper-level tasks. They are also suitable for systems governed by microscopic rules, the equations of which do not exist in closed form. Illustrative case studies are presented, based on tubular reactor models, which exhibit rich parametric behaviour.
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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 its ability to predict the flowering time of field plantings at different sites and seasons in light of the specific meteorological conditions that pertained. This analysis suggested that the synchrony of temperature and light cycles is important in promoting floral initiation. New features were incorporated into the phenology model that improved its predictive accuracy across seasons. Using both lab and field data, this study has revealed an important seasonal effect of night temperatures on flowering time. Further model adjustments to describe phytochrome (phy) mutants supported the findings and implicated phyB in the temporal gating of temperature-induced flowering. The improved phenology model was next linked to the clock gene circuit model. Simulation of clock mutants with different free-running periods highlighted the complex mechanism associated with daylength responses for the induction of flowering. Finally, the carbon assimilation and functional-structural growth modules were integrated to form the multi-component, whole-plant model. The integrated model was successfully validated with experimental data from a few genotypes grown in the laboratory. In conclusion, the model has the ability to predict the flowering time, leaf biomass and ecosystem exchange of plants grown under conditions of varying light intensity, temperature, CO2 level and photoperiod, though extensions of some model components to incorporate more biological details would be relevant. Nevertheless, this meso-scale model creates obvious application routes from molecular and cellular biology to crop improvement and biosphere management. It could provide a framework for whole-organism modelling to help address global issues such as food security and the energy crisis.
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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.
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 laquelle le calcul à l'échelle macro est effectué en utilisant la procédure de solution operator-split. Cette approche partitionnée divise le calcul en deux phases, globale et locale, dans lesquelles différents mécanismes de rupture sont traités séparément, ce qui est conforme au comportement du composite observé expérimentalement. L'identification des paramètres est effectuée en minimisant l'erreur entre les valeurs calculées et mesurées. Les modèles proposés sont validés par des exemples numériques
In this thesis, several approaches for modeling fiber-reinforced composites are proposed. The material under consideration is fiber-reinforced concrete, which is composed of a few constituents: concrete, short steel fibers, and the interface between them. The behavior of concrete is described by a damage model with localized failure, fibers are taken to be linear elastic, and the behavior of the interface is modeled with a bond-slip pull-out law. A multi-scale approach for coupling all the constituents is proposed, where the macro-scale computation is carried out using the operator-split solution procedure. This partitioned approach divides the computation in two phases, global and local, where different failure mechanisms are treated separately, which is in accordance with the experimentally observed composite behavior. An inverse model for fiber-reinforced concrete is presented, where the stochastic caracterization of the fibers is known from their distribution inside the domain. Parameter identification is performed by minimizing the error between the computed and measured values. The proposed models are validated through numerical examples
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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-scale asperity contact mechanics and micro-scale deformation mechanics of the sealing edge in a strongly coupled manner. The model takes into account surface roughness, mixed lubrication, cavitation and two phase flow, transient squeeze film effects and the dynamic operation as well as the effect of macro/micro/nano scale viscoelasticity. A hybrid finite element-finite volume-statistical computational framework is developed to solve the highly coupled multi-physics interactions of the MSMP model simultaneously. Surface characterization experiments are performed to extract the parameters like RMS roughness, asperity density, autocorrelation length and asperity radius needed by MSMP. To remove the high frequency noise without removing the high frequency real surface features, a wavelet transform based adaptive surface extraction method is implemented. Dynamic mechanical analysis (DMA) is performed to extract the macro-scale viscoelastic parameters of the seal. Through atomic force microscopy (AFM) experiments, the local micro/nano scale elastic moduli were found to be varying within two orders of magnitude higher than the bulk of the polymer. Significant differences in local stiffness, adhesion and the relaxation time scales of individual surface asperities were also observed. With the MSMP model, dynamic seal performance was analyzed. The results confirmed the mixed lubrication and the effect of surface roughness. Thicker fluid films during instroke and cavitation during the outstroke were found to be important for non-leakage. Seal behavior was a function of the complex dual dependence on the time varying sealed pressure and hydrodynamic effects. Viscoelasticity is seen to critically affect the leakage and friction characteristics. It produces thicker fluid films and produces a significant increase in Poiseuille component of flow during instroke. Ignoring viscoelasticity leads to under-prediction of the time required to reach the zero leakage state. Several high pressure - high frequency sealing applications were analyzed. In such applications, a new phenomenon of "secondary contact" was observed. Viscoelastic creep was seen to critically affect the contact pressure and hence the friction characteristics. In high frequency applications, viscoelasticity induced significant differences in Poiseuille flow and friction force from cycle to cycle. Cycle frequency was seen to play an important role in governing visco-elastohydrodynamics and the leakage of such seals. The seals need to be designed by considering the relationship between relaxation time scales of the polymer and the cycle frequencies. Study also revealed the presence of characteristics like "critical temperature" and "critical frequency". Using the multi-physics modeling capability of MSMP framework, several novel seal designs using smart materials like piezo-ceramic embedded polymers are proposed and analyzed. The MSMP computational framework developed here has a great potential to be used as a stand-alone seal design and analysis software in academic and industrial research.
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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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Книги з теми "Multi-scale model and Talin"

1

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

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2

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

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3

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

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4

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

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5

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

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6

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. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1997.

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7

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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8

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-statistical approaches in weather prediction. It then reviews current state of the art fusion methods for environmental data analysis and introduces a non-dynamic downscaling approach. The static version of the dynamic spatial model is used to analyse the NADP weekly wet deposition data.
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9

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 harvest, and applying the model to both current and pre-harvest conditions. Calculating changes in the extent and pattern of habitat in the landscape indicate that timber harvest and road construction together reduced marten habitat quality considerably across the study area, which is likely responsible for current patterns of reduced detection rates and lower genetic diversity in areas that have experienced the largest amounts of habitat loss.
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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 assimilations, and many other purposes. Principles of modelling of large-scale atmospheric and oceanic flows, and corresponding approximations, are explained and it is shown how single- and multi-layer versions of RSW arise from the primitive equations by vertical averaging, and how further time-averaging produces celebrated quasi-geostrophic reductions of the model. Key concepts of geophysical fluid dynamics are exposed and interpreted in RSW terms, and fundamentals of vortex and wave dynamics are explained in Part 1 of the book, which is supplied with exercises and can be used as a textbook. Solutions of the problems are available at Editorial Office by request. In-depth treatment of dynamical processes, with special accent on the primordial process of geostrophic adjustment, on instabilities in geophysical flows, vortex and wave turbulence and on nonlinear wave interactions follows in Part 2. Recently arisen new approaches in, and applications of RSW, including moist-convective processes constitute Part 3.
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Частини книг з теми "Multi-scale model and Talin"

1

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, 75–97. Cham: 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, 115–55. Cham: 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, 1101–14. Dordrecht: 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, 17–69. Dordrecht: 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, 59–89. Cham: 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, 471–80. Berlin, Heidelberg: 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, 403–9. Cham: 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, B. M. Meijers, P. J. M. van Oosterom, C. W. Quak, H. T. Uitermark, and L. van den Brink. "A Data Model for Multi-scale Topographical Data." In Headway in Spatial Data Handling, 233–54. Berlin, Heidelberg: 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), 281–91. Singapore: 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, 265–83. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39022-2_12.

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Тези доповідей конференцій з теми "Multi-scale model and Talin"

1

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, G. Gielen, H. De Gersem, D. Pissoort, and K. Hameyer. "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. Reston, VA: 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. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3377713.3377716.

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Звіти організацій з теми "Multi-scale model and Talin"

1

Hamann, Hendrik F. A Multi-scale, Multi-Model, Machine-Learning Solar Forecasting Technology. Office of Scientific and Technical Information (OSTI), May 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), June 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. Fort Belvoir, VA: Defense Technical Information Center, September 2013. http://dx.doi.org/10.21236/ada598641.

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Grujicic, Mica. Multi-length Scale Material Model Development for Armorgrade Composites. Fort Belvoir, VA: Defense Technical Information Center, May 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), March 2002. http://dx.doi.org/10.2172/15004198.

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D. A. Hughes, D. J. Bammann, A. Godfrey, V. C. Prantil, E. A. Holm, M. A. Miodownik, D. C. Chrzan, and M. T. Lusk. Capturing recrystallization of metals with a multi-scale materials model. Office of Scientific and Technical Information (OSTI), April 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), November 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, May 2021. http://dx.doi.org/10.34235/b7eaa32b-1a6b-444f-9848-76f83f5a733c.

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Анотація:
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 COVID-19. The Reference Model is an ensemble of models that is optimized to fit observed disease phenomenon. The ensemble has the ability to include model components from different sources that compete and cooperate. The recent advance in this model is the ability to include models calculated in different scales, making the model the first known multi-scale ensemble model. This manuscript will review these capabilities and show how multiple models can improve our ability to comprehend the COVID-19 pandemic.
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Sisti, Alex F. Large-Scale Battlefield Simulation Using a Multi-Level Model Integration Methodology. Fort Belvoir, VA: Defense Technical Information Center, April 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), December 2001. http://dx.doi.org/10.2172/15005674.

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