Relevant bibliographies by topics / Dynamic

Academic literature on the topic 'Dynamic'

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Published: 4 June 2021
Last updated: 7 July 2024

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Journal articles on the topic "Dynamic"

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f, f. "Designing for Dynamics in Dynamic Narrative Inquiry." Asian Qualitative Inquiry Association 2, no. 2 (December 31, 2023): 77–94. http://dx.doi.org/10.56428/aqij.2023.2.2.77.

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This article addresses the question “How is dynamic narrative inquiry dynamic?” To do that, I present principles of dynamic narrative inquiry, with a focus on the active authoring of meaning in research interactions as in everyday life. Drawing on prior examples of activity-meaning system research designs and dynamic narrative analyses, I illustrate how this authoring process involves creative use of language and literary forms to express and transform interactive meaning with diverse others and one’s self. A goal of the article is to increase researchers’ sensitivity to the fact that paying attention to how everyone communicates offers major and otherwise overlooked insights into what everyone is saying about the issue of interest.
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Williams, Robley C., Michael Caplow, and J. Richard McIntosh. "Cytoskeleton: Dynamic microtubule dynamics." Nature 324, no. 6093 (November 1986): 106–7. http://dx.doi.org/10.1038/324106a0.

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Raza, Md Shamim, Nitesh Kumar, and Sourav Poddar. "Combustor Characteristics under Dynamic Condition during Fuel – Air Mixingusing Computational Fluid Dynamics." Journal of Advances in Mechanical Engineering and Science 1, no. 1 (August 8, 2015): 20–33. http://dx.doi.org/10.18831/james.in/2015011003.

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STRADTMANN, Hinnerk. "1D14 Examples for European assessment of vehicle's dynamic running behaviour(Vehicles-Dynamics)." Proceedings of International Symposium on Seed-up and Service Technology for Railway and Maglev Systems : STECH 2015 (2015): _1D14–1_—_1D14–12_. http://dx.doi.org/10.1299/jsmestech.2015._1d14-1_.

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Agnew, Thelma. "Dynamic teams and team dynamics." Nursing Management 12, no. 1 (April 2005): 7. http://dx.doi.org/10.7748/nm.12.1.7.s10.

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Travers, Andrew. "Dynamic DNA Underpins Chromosome Dynamics." Biophysical Journal 105, no. 10 (November 2013): 2235–37. http://dx.doi.org/10.1016/j.bpj.2013.10.011.

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Curtis-Jones, Alison. "Dynamic dichotomies: How can the body be a dynamic archive?" Dance, Movement & Spiritualities 10, no. 1 (October 1, 2023): 99–124. http://dx.doi.org/10.1386/dmas_00049_1.

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This article discusses the complexities around movement dynamics and how the term ‘dynamic archive’ is understood in dance. Drawing from Andre Lepecki’s ‘The body as archive’ (2010), Rudolf Laban and F. C. Lawrence’s Effort theory (1947) and a choreological perspective to investigate the complexities of dynamics as an embodied phenomenon, I discuss the body as a dynamic archive of embodied experience. This article provides debate about how dynamics are learnt and recalled for the purposes of re-staging and how movement dynamics are stored by the dancer as a dynamic archive.
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Han, Yueying, Yi Cao, and Hai Lei. "Dynamic Covalent Hydrogels: Strong yet Dynamic." Gels 8, no. 9 (September 10, 2022): 577. http://dx.doi.org/10.3390/gels8090577.

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Hydrogels are crosslinked polymer networks with time-dependent mechanical response. The overall mechanical properties are correlated with the dynamics of the crosslinks. Generally, hydrogels crosslinked by permanent chemical crosslinks are strong but static, while hydrogels crosslinked by physical interactions are weak but dynamic. It is highly desirable to create synthetic hydrogels that possess strong mechanical stability yet remain dynamic for various applications, such as drug delivery cargos, tissue engineering scaffolds, and shape-memory materials. Recently, with the introduction of dynamic covalent chemistry, the seemingly conflicting mechanical properties, i.e., stability and dynamics, have been successfully combined in the same hydrogels. Dynamic covalent bonds are mechanically stable yet still capable of exchanging, dissociating, or switching in response to external stimuli, empowering the hydrogels with self-healing properties, injectability and suitability for postprocessing and additive manufacturing. Here in this review, we first summarize the common dynamic covalent bonds used in hydrogel networks based on various chemical reaction mechanisms and the mechanical strength of these bonds at the single molecule level. Next, we discuss how dynamic covalent chemistry makes hydrogel materials more dynamic from the materials perspective. Furthermore, we highlight the challenges and future perspectives of dynamic covalent hydrogels.
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Feng, Zengming, Fuliang Suo, and Yabing Cheng. "58793 MESHING MECHANISM AND DYNAMIC ANALYSIS OF NEW SILENT CHAIN(Dynamics of Machine Components)." Proceedings of the Asian Conference on Multibody Dynamics 2010.5 (2010): _58793–1_—_58793–5_. http://dx.doi.org/10.1299/jsmeacmd.2010.5._58793-1_.

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Cho, J. I., J. Y. Kim, and T. W. Park. "62931 DYNAMIC ANALYSIS ON THE NEXT GENERATION HIGH-SPEED RAILWAY VEHICLE(Railroad System Dynamics)." Proceedings of the Asian Conference on Multibody Dynamics 2010.5 (2010): _62931–1_—_62931–6_. http://dx.doi.org/10.1299/jsmeacmd.2010.5._62931-1_.

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Dissertations / Theses on the topic "Dynamic"

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Kulich, Martin. "Dynamic Template Adjustment in Continuous Keystroke Dynamics." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2015. http://www.nusl.cz/ntk/nusl-234927.

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Dynamika úhozů kláves je jednou z behaviorálních biometrických charakteristik, kterou je možné použít pro průběžnou autentizaci uživatelů. Vzhledem k tomu, že styl psaní na klávesnici se v čase mění, je potřeba rovněž upravovat biometrickou šablonu. Tímto problémem se dosud, alespoň pokud je autorovi známo, žádná studie nezabývala. Tato diplomová práce se pokouší tuto mezeru zaplnit. S pomocí dat o časování úhozů od 22 dobrovolníků bylo otestováno několik technik klasifikace, zda je možné je upravit na online klasifikátory, zdokonalující se bez učitele. Výrazné zlepšení v rozpoznání útočníka bylo zaznamenáno u jednotřídového statistického klasifikátoru založeného na normované Euklidovské vzdálenosti, v průměru o 23,7 % proti původní verzi bez adaptace, zlepšení však bylo pozorováno u všech testovacích sad. Změna míry rozpoznání správného uživatele se oproti tomu různila, avšak stále zůstávala na přijatelných hodnotách.
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Munz, Marton. "Computational studies of protein dynamics and dynamic similarity." Thesis, University of Oxford, 2012. http://ora.ox.ac.uk/objects/uuid:2fb76765-3e43-409b-aad3-b5202f4668b3.

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At the time of writing this thesis, the complete genomes of more than 180 organisms have been sequenced and more than 80000 biological macromolecular structures are available in the Protein Data Bank (PDB). While the number of sequenced genomes and solved three-dimensional structures are rapidly increasing, the functional annotation of protein sequences and structures is a much slower process, mostly because the experimental de-termination of protein function is expensive and time-consuming. A major class of in silico methods used for protein function prediction aim to transfer annotations between proteins based on sequence or structural similarities. These approaches rely on the assumption that homologous proteins of similar primary sequences and three-dimensional structures also have similar functions. While in most cases this assumption appears to be valid, an increasing number of examples show that proteins of highly similar sequences and/or structures can have different biochemical functions. Thus the relationship between the divergence of protein sequence, structure and function is more complex than previously anticipated. On the other hand, there is mounting evidence suggesting that minor changes of the sequences and structures of proteins can cause large differences in their conformational dynamics. As the intrinsic fluctuations of many proteins are key to their biochemical functions, the fact that very similar (almost identical) sequences or structures can have entirely different dynamics might be important for understanding the link between sequence, structure and function. In other words, the dynamic similarity of proteins could often serve as a better indicator of functional similarity than the similarity of their sequences or structures alone. Currently, little is known about how proteins are distributed in the 'dynamics space' and how protein motions depend on structure and sequence. These problems are relevant in the field of protein design, studying protein evolution and to better understand the functional differences of proteins. To address these questions, one needs a precise definition of dynamic similarity, which is not trivial given the complexity of protein motions. This thesis is intended to explore the possibilities of describing the similarity of proteins in the 'dynamics space'. To this end, novel methods of characterizing and comparing protein motions based on molecular dynamics simulation data were introduced. The generally applicable approach was tested on the family of PDZ domains; these small protein-protein interaction domains play key roles in many signalling pathways. The methodology was successfully used to characterize the dynamic dissimilarities of PDZ domains and helped to explain differences of their functional properties (e.g. binding promiscuity) also relevant for drug design studies. The software tools developed to implement the analysis are also introduced in the thesis. Finally, a network analysis study is presented to reveal dynamics-mediated intramolecular signalling pathways in an allosteric PDZ domain.
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Demiray, Turhan Hilmi. "Simulation of power system dynamics using dynamic phasor models /." Zürich : ETH, 2008. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=17607.

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Durazzo, Gerardo. "Simulation of supply chains dynamics using fluid-dynamic models." Doctoral thesis, Universita degli studi di Salerno, 2013. http://hdl.handle.net/10556/887.

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2011 - 2012
The aim of thesis is to present some macroscopic models for supply chains and networks able to reproduce the goods dynamics, successively to show, via simulations, some phenomena appearing in planning and managing such systems and, finally, to dead with optimization problems... [edited by author]
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Hadraba, Petr. "Kmitání strojů v průmyslové praxi." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2017. http://www.nusl.cz/ntk/nusl-318140.

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The vibration analysis of a production machine is a key factor of its functionality, service life and occupational safety. This work deals with mathematical dynamic modelling and its contribution to the improvement of a mechanical design and mechanism failure prevention. The whole process is presented on the example of a drum cam rotary indexing table and on the example of actuators of multi spindle automatic lathes. The analysis consisted of complex nonlinear models based on basic linear models. It was computed using Matlab, Simulink and MSC ADAMS. Models of these mechanisms were validated with experimental measurements. The results were used for mechanical design improvement and for speed control optimization.
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Van, Wychen Wesley. "The Dynamics and Dynamic Discharge of the Ice Masses and Tidewater Glaciers of the Canadian High Arctic." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/33180.

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Speckle tracking of synthetic aperture RADAR imagery (Radarsat-1/2, ALOS PALSAR) and feature tracking of optical (Landsat-7 ETM+) imagery is used to determine the entire surface velocity structure of the major ice masses of the Canadian High Arctic in 2000, 2010-2015 and for select tidewater terminating glaciers from 1999-2010. At the termini of tidewater glaciers, surface ice velocities are combined with measured/modelled ice thicknesses to derive an estimate of mass loss via dynamic (iceberg) discharge. The total dynamic discharge for the ice masses of the southern Canadian Arctic Archipelago (SCAA: Baffin and Bylot Islands) is between ~17 and 180 Mt a-1 (0.017 to 0.180 Gt a-1) for the period 2007-2011, compared to a dynamic discharge of ~2.47  ± 0.88 Gt a-1 for the northern Canadian Arctic Archipelago (NCAA: Devon, Ellesmere, Axel Heiberg Islands) for the period 2011-2015. A comparison of these values with rates of mass loss via climatic mass balance (surface melt and runoff) indicates that dynamic discharge accounted for ~3.1% of total ablation for the NCAA in 2012 and ~0.11% of total ablation in the SCAA between 2007 and 2010. This reveals that total ablation in the Canadian Arctic is currently dominated by surface melt and runoff. The glacier velocity dataset provides the most comprehensive record of ice motion and dynamic discharge in the Canadian Arctic to date and reveals a large degree of variability in glacier motion within the region over the last ~15 years. Most of the major glaciers in the NCAA have decelerated and their resultant dynamic discharge has decreased over the observation period, which is largely attributed to cyclical phases attributed to surging and pulsing. On pulse-type glaciers, variation in ice motion is largely confined to regions where the bed is located below sea level. A notable departure from the overall trend of regional velocity slowdown is the widespread acceleration of the Trinity and Wykeham Glaciers of the Prince of Wales Icefield (the largest glacier complex in the Canadian Arctic), which cannot be explained by surge or pulse mechanisms. The increased discharge from these two glaciers nearly compensates (within error) for the decrease in iceberg discharge from other glaciers across the study region and indicates that total dynamic discharge from the Canadian Arctic can be sensitive to the variations of ice flow of just a few glaciers.
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Fujiwara, Naoya. "Dynamic phase transition and pattern dynamics in periodic external fields." 京都大学 (Kyoto University), 2007. http://hdl.handle.net/2433/135964.

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Chen, C. C. "Imaging the spatial-temporal neuronal dynamics using dynamic causal modelling." Thesis, University College London (University of London), 2009. http://discovery.ucl.ac.uk/18517/.

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Oscillatory brain activity is a ubiquitous feature of neuronal dynamics and the synchronous discharge of neurons is believed to facilitate integration both within functionally segregated brain areas and between areas engaged by the same task. There is growing interest in investigating the neural oscillatory networks in vivo. The aims of this thesis are to (1) develop an advanced method, Dynamic Causal Modelling for Induced Responses (DCM for IR), for modelling the brain network functions and (2) apply it to exploit the nonlinear coupling in the motor system during hand grips and the functional asymmetries during face perception. DCM for IR models the time-varying power over a range of frequencies of coupled electromagnetic sources. The model parameters encode coupling strength among areas and allows the differentiations between linear (within frequency) and nonlinear (between-frequency) coupling. I applied DCM for IR to show that, during hand grips, the nonlinear interactions among neuronal sources in motor system are essential while intrinsic coupling (within source) is very likely to be linear. Furthermore, the normal aging process alters both the network architecture and the frequency contents in the motor network. I then use the bilinear form of DCM for IR to model the experimental manipulations as the modulatory effects. I use MEG data to demonstrate functional asymmetries between forward and backward connections during face perception: Specifically, high (gamma) frequencies in higher cortical areas suppressed low (alpha) frequencies in lower areas. This finding provides direct evidence for functional asymmetries that is consistent with anatomical and physiological evidence from animal studies. Lastly, I generalize the bilinear form of DCM for IR to dissociate the induced responses from evoked ones in terms of their functional role. The backward modulatory effect is expressed as induced, but not evoked responses.
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Da, Ronch Andrea. "On the calculation of dynamic derivatives using computational fluid dynamics." Thesis, University of Liverpool, 2012. http://livrepository.liverpool.ac.uk/5513/.

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In this thesis, the exploitation of computational fluid dynamics (CFD) methods for the flight dynamics of manoeuvring aircraft is investigated. It is demonstrated that CFD can now be used in a reasonably routine fashion to generate stability and control databases. Different strategies to create CFD-derived simulation models across the flight envelope are explored, ranging from combined low-fidelity/high-fidelity methods to reduced-order modelling. For the representation of the unsteady aerodynamic loads, a model based on aerodynamic derivatives is considered. Static contributions are obtained from steady-state CFD calculations in a routine manner. To more fully account for the aircraft motion, dynamic derivatives are used to update the steady-state predictions with additional contributions. These terms are extracted from small-amplitude oscillatory tests. The numerical simulation of the flow around a moving airframe for the prediction of dynamic derivatives is a computationally expensive task. Results presented are in good agreement with available experimental data for complex geometries. A generic fighter configuration and a transonic cruiser wind tunnel model are the test cases. In the presence of aerodynamic non-linearities, dynamic derivatives exhibit significant dependency on flow and motion parameters, which cannot be reconciled with the model formulation. An approach to evaluate the sensitivity of the non-linear flight simulation model to variations in dynamic derivatives is described. The use of reduced models, based on the manipulation of the full-order model to reduce the cost of calculations, is discussed for the fast prediction of dynamic derivatives. A linearized solution of the unsteady problem, with an attendant loss of generality, is inadequate for studies of flight dynamics because the aircraft may experience large excursions from the reference point. The harmonic balance technique, which approximates the flow solution in a Fourier series sense, retains a more general validity. The model truncation, resolving only a small subset of frequencies typically restricted to include one Fourier mode at the frequency at which dynamic derivatives are desired, provides accurate predictions over a range of two- and three-dimensional test cases. While retaining the high fidelity of the full-order model, the cost of calculations is a fraction of the cost for solving the original unsteady problem. An important consideration is the limitation of the conventional model based on aerodynamic derivatives when applied to conditions of practical interest (transonic speeds and high angles of attack). There is a definite need for models with more realism to be used in flight dynamics. To address this demand, various reduced models based on system-identification methods are investigated for a model case. A non-linear model based on aerodynamic derivatives, a multi-input discrete-time Volterra model, a surrogate-based recurrence-framework model, linear indicial functions and radial basis functions trained with neural networks are evaluated. For the flow conditions considered, predictions based on the conventional model are the least accurate. While requiring similar computational resources, improved predictions are achieved using the alternative models investigated. Furthermore, an approach for the automatic generation of aerodynamic tables using CFD is described. To efficiently reduce the number of high-fidelity (physics-based) analyses required, a kriging-based surrogate model is used. The framework is applied to a variety of test cases, and it is illustrated that the approach proposed can handle changes in aircraft geometry. The aerodynamic tables can also be used in real-time to fly the aircraft through the database. This is representative of the role played by CFD simulations and the potential impact that high-fidelity analyses might have to reduce overall costs and design cycle time.
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Karlsson, Stefan, and Erik Hansson. "Dynamic Load Generator: Synthesising dynamic hardware load characteristics." Thesis, Mälardalens högskola, Inbyggda system, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-28280.

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In this thesis we proposed and tested a new method for creating synthetic workloads. Our method takes the dynamic behaviour into consideration, whereas previous studies only consider the static behaviour. This was done by recording performance monitor counters (PMC) events from a reference application. These events were then used to calculate the hardware load characteristics, in our case cache miss ratios, that were stored for each sample and used as input to a load regulator. A signalling application was then used together with a load regulator and a cache miss generator to tune the hardware characteristics until they were similar to those of the reference application. For each sample, the final parameters from the load regulator were stored in order to be able to simulate it. By simulating all samples with the same sampling period with which they were recorded, the dynamic behaviour of the reference application could be simulated. Measurements show that this was successful for L1 D$ miss ratio, but not for L1 I$ miss ratio and only to a small extent for L2 D$ miss ratio. We were also able to show that the total convergence time for the regulator could be reduced by using case-based reasoning to select the initial parameters from similar samples.
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Books on the topic "Dynamic"

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Kitzmiller, Ann Hall. Dynamic space, demands, dynamic time. Tucson, AZ: Each-Mara Designs, 2005.

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Stephen, Childress, ed. Topics in geophysical fluid dynamics: Atmospheric dynamics, dynamo theory, and climate dynamics. New York: Springer-Verlag, 1987.

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Bluestein, Howard B. Synoptic-dynamic meteorology in midlatitudes. New York: Oxford University Press, 1992.

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Ulmer, Marlin Wolf. Approximate Dynamic Programming for Dynamic Vehicle Routing. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55511-9.

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Vantsyan, Anushavan. Dynamic phenomena in continuous media: Dynamic interaction. Saarbrücken, Deutschland: LAP Lambert Academic Publishing, 2013.

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B, Bradley Don, ed. Dynamic retailing. 2nd ed. New York: Macmillan, 1990.

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Hengeveld, Rob. Dynamic biogeography. Cambridge [England]: Cambridge University Press, 1992.

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Diament, Paul. Dynamic electromagnetics. Upper Saddle River, N.J: Prentice Hall, 2000.

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Tania, Clifton-Smith, ed. Dynamic breathing. London: Sheldon, 2010.

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Maurice, Culot, Filser Nathalie, Rabinowicz Marcelle, Fondation pour l'architecture (Brussels, Belgium), and Centre international pour la ville, l'architecture et le paysage., eds. Dynamic City. Milano: Skira, 2000.

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Book chapters on the topic "Dynamic"

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Shen, Dan. "Dual dynamics versus single dynamic." In Dual Narrative Dynamics, 94–107. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003353027-10.

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Bringmann, Karl, Nick Fischer, Ivor van der Hoog, Evangelos Kipouridis, Tomasz Kociumaka, and Eva Rotenberg. "Dynamic Dynamic Time Warping." In Proceedings of the 2024 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), 208–42. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2024. http://dx.doi.org/10.1137/1.9781611977912.10.

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Weik, Martin H. "dynamic." In Computer Science and Communications Dictionary, 471. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_5722.

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Riviere, Alex. "Dynamic." In Game Audio Mixing, 92–99. London: Focal Press, 2023. http://dx.doi.org/10.4324/9781003351146-8.

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Platzer, André. "Dynamical Systems & Dynamic Axioms." In Logical Foundations of Cyber-Physical Systems, 137–72. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-63588-0_5.

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Galton, Antony. "Dynamic Collectives and Their Collective Dynamics." In Spatial Information Theory, 300–315. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11556114_19.

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Karlsson, Charlie, Åke E. Andersson, Paul Cheshire, and R. R. Stough. "Innovation, Dynamic Regions and Regional Dynamics." In Advances in Spatial Science, 1–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01017-0_1.

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Schmitt, Peter H., Mattias Ulbrich, and Benjamin Weiß. "Dynamic Frames in Java Dynamic Logic." In Formal Verification of Object-Oriented Software, 138–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-18070-5_10.

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Williams, Lea E. "Dynamic Times Call for Dynamic Leaders." In Servants of the People, 1–22. New York: Palgrave Macmillan US, 1996. http://dx.doi.org/10.1007/978-1-349-61458-5_1.

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Williams, Lea E. "Dynamic Times Call for Dynamic Leaders." In Servants of the People, 1–22. New York: Palgrave Macmillan US, 2009. http://dx.doi.org/10.1007/978-1-137-06635-0_1.

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Conference papers on the topic "Dynamic"

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QIN, Q. "TRANSVERSE BEAM DYNAMICS: DYNAMIC APERTURE." In Selected Lectures of OCPA International Accelerator School 2002. WORLD SCIENTIFIC, 2004. http://dx.doi.org/10.1142/9789812702807_0005.

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Sengupta, B., and D. Halliday. "Neuronal Dynamics of Dynamic Synapses." In 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference. IEEE, 2005. http://dx.doi.org/10.1109/iembs.2005.1617269.

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Lee, Allan Y., Alan T. Marriott, and Nhan T. Le. "Variable Dynamic Testbed Vehicle: Dynamics Analysis." In SAE International Congress and Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1997. http://dx.doi.org/10.4271/970560.

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van Gent, Marcel R. A., Markus Muttray, and Ivo van der Werf. "DYNAMIC COBBLE BEACHES AS SEA DEFENCE." In Coastal Dynamics 2009 - Impacts of Human Activities on Dynamic Coastal Processes. Singapore: World Scientific Publishing Co. Pte. Ltd., 2009. http://dx.doi.org/10.1142/9789814282475_0081.

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Yamaguchi, Akihiko, and Christopher G. Atkeson. "Differential dynamic programming with temporally decomposed dynamics." In 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids). IEEE, 2015. http://dx.doi.org/10.1109/humanoids.2015.7363430.

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Guo, Qian, Lei Zhang, Bin Wu, and Xuelin Zeng. "Dynamic community detection based on distance dynamics." In 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). IEEE, 2016. http://dx.doi.org/10.1109/asonam.2016.7752254.

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Ouyang, Yi, Hamidreza Tavafoghi, and Demosthenis Teneketzis. "Dynamic oligopoly games with private Markovian dynamics." In 2015 54th IEEE Conference on Decision and Control (CDC). IEEE, 2015. http://dx.doi.org/10.1109/cdc.2015.7403139.

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Sun, Yuming, and Ning Sun. "Dynamic compaction machine boom structure dynamics research." In 2015 3rd International Conference on Machinery, Materials and Information Technology Applications. Paris, France: Atlantis Press, 2015. http://dx.doi.org/10.2991/icmmita-15.2015.266.

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Rozhkov, Sergey, Lilia Voronova, and Vyacheslav Voronov. "Ship Dynamics in the Dynamic Positioning Problem." In 2024 Systems of Signals Generating and Processing in the Field of on Board Communications. IEEE, 2024. http://dx.doi.org/10.1109/ieeeconf60226.2024.10496784.

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Buiras, Pablo, and Bart van Delft. "Dynamic Enforcement of Dynamic Policies." In ECOOP '15: European Conference on Object-Oriented Programming ECOOP 2015. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2786558.2786563.

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Reports on the topic "Dynamic"

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Rugaber, Spencer, and Kurt Stirewalt. DYNAMO: Dynamic Assembly From Models. Fort Belvoir, VA: Defense Technical Information Center, February 2004. http://dx.doi.org/10.21236/ada421751.

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2

Perdigão, Rui A. P. Earth System Dynamic Intelligence - ESDI. Meteoceanics, April 2021. http://dx.doi.org/10.46337/esdi.210414.

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Earth System Dynamic Intelligence (ESDI) entails developing and making innovative use of emerging concepts and pathways in mathematical geophysics, Earth System Dynamics, and information technologies to sense, monitor, harness, analyze, model and fundamentally unveil dynamic understanding across the natural, social and technical geosciences, including the associated manifold multiscale multidomain processes, interactions and complexity, along with the associated predictability and uncertainty dynamics. The ESDI Flagship initiative ignites the development, discussion and cross-fertilization of novel theoretical insights, methodological developments and geophysical applications across interdisciplinary mathematical, geophysical and information technological approaches towards a cross-cutting, mathematically sound, physically consistent, socially conscious and operationally effective Earth System Dynamic Intelligence. Going beyond the well established stochastic-dynamic, information-theoretic, artificial intelligence, mechanistic and hybrid techniques, ESDI paves the way to exploratory and disruptive developments along emerging information physical intelligence pathways, and bridges fundamental and operational complex problem solving across frontier natural, social and technical geosciences. Overall, the ESDI Flagship breeds a nascent field and community where methodological ingenuity and natural process understanding come together to shed light onto fundamental theoretical aspects to build innovative methodologies, products and services to tackle real-world challenges facing our planet.
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Heckman, James, and Salvador Navarro. Dynamic Discrete Choice and Dynamic Treatment Effects. Cambridge, MA: National Bureau of Economic Research, October 2005. http://dx.doi.org/10.3386/t0316.

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Ianchovichina, Elena, and Robert McDougall. Theoretical Structure of Dynamic GTAP. GTAP Technical Paper, December 2000. http://dx.doi.org/10.21642/gtap.tp17.

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This paper documents the foreign asset ownership and investment theory of the dynamic GTAP model (GTAP-Dyn). The new investment theory offers a disequilibrium approach to modeling endogenously international capital mobility. It permits a recursive solution procedure, a feature that allows easy implementation of dynamics into any static AGE model without imposing limitations on the model's size. The method involves treating time as a variable, not as an index. Having time as a variable allows the construction of dynamic GTAP with minimum modifications to the existing structure of GTAP, by separating the theory of static GTAP from the length of run.
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5

Cui, Tianyu, and Lushan Sun. Smooth Dynamic. Ames: Iowa State University, Digital Repository, 2017. http://dx.doi.org/10.31274/itaa_proceedings-180814-255.

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Stantcheva, Stefanie. Dynamic Taxation. Cambridge, MA: National Bureau of Economic Research, January 2020. http://dx.doi.org/10.3386/w26704.

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Shabana, Ahmed A. Nonlinear Coupling Between Control and Dynamic Parameters in Flexible Multibody Dynamics. Fort Belvoir, VA: Defense Technical Information Center, January 2001. http://dx.doi.org/10.21236/ada391739.

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8

Diebold, Francis, Canlin Li, and Vivian Yue. Global Yield Curve Dynamics and Interactions: A Dynamic Nelson-Siegel Approach. Cambridge, MA: National Bureau of Economic Research, November 2007. http://dx.doi.org/10.3386/w13588.

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Maurel, Pierre, and Guillermo Sapiro. Dynamic Shapes Average. Fort Belvoir, VA: Defense Technical Information Center, January 2005. http://dx.doi.org/10.21236/ada437810.

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He, Zhiguo, and Konstantin Milbradt. Dynamic Debt Maturity. Cambridge, MA: National Bureau of Economic Research, January 2016. http://dx.doi.org/10.3386/w21919.

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