Добірка наукової літератури з теми "Structure and dynamic"

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Статті в журналах з теми "Structure and dynamic":

1

Altintas, Y., D. Montgomery, and E. Budak. "Dynamic Peripheral Milling of Flexible Structures." Journal of Engineering for Industry 114, no. 2 (May 1, 1992): 137–45. http://dx.doi.org/10.1115/1.2899766.

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A dynamic model for peripheral milling of very flexible plate type structures has been presented. The structural dynamics of a cantilevered plate structure is modelled at the tool-workpiece contact zone. The interaction of the very flexible plate structure and rigid end mill during dynamic milling is modelled. The variation in surface, chip thickness, and structural dynamics of the plate are considered in determining the milling forces. The proposed model provides surface finish form errors displacements at the tool-workpiece contact zone, and cutting forces for dynamic end milling operations.
2

Rackovsky, S., and Harold A. Scheraga. "The structure of protein dynamic space." Proceedings of the National Academy of Sciences 117, no. 33 (August 5, 2020): 19938–42. http://dx.doi.org/10.1073/pnas.2008873117.

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We use a bioinformatic description of amino acid dynamic properties, based on residue-specific average B factors, to construct a dynamics-based, large-scale description of a space of protein sequences. We examine the relationship between that space and an independently constructed, structure-based space comprising the same sequences. It is demonstrated that structure and dynamics are only moderately correlated. It is further shown that helical proteins fall into two classes with very different structure–dynamics relationships. We suggest that dynamics in the two helical classes are dominated by distinctly different modes––pseudo–one-dimensional, localized helical modes in one case, and pseudo–three-dimensional (3D) global modes in the other. Sheet/barrel and mixed-α/β proteins exhibit more conventional structure–dynamics relationships. It is found that the strongest correlation between structure and dynamic properties arises when the latter are represented by the sequence average of the dynamic index, which corresponds physically to the overall mobility of the protein. None of these results are accessible to bioinformatic methods hitherto available.
3

Wang, Ying, and Bin Sun. "A Computational Method for Dynamic Analysis of Deployable Structures." Shock and Vibration 2020 (June 27, 2020): 1–10. http://dx.doi.org/10.1155/2020/2971784.

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A computational method is developed to study the dynamics of lightweight deployable structures during the motion process without regard to damping. Theory and implementation strategy of the developed method are given in this study. As a case study, the motion process of a bar-joint structure and a ring array scissor-type structure was simulated under external dynamic loading. In order to verify the effectiveness of the method, the simulation results are compared with the results predicted by the authenticated multibody system dynamics and simulation program. It shows that the method is effective to dynamic analysis of deployable structures no matter the structures are rigid or elastic. Displacement, velocity, and acceleration for the entire deployable structures during the motion process can be computed, as well as strain if the deployable structure is elastic.
4

Nie, Chun-Xiao. "Hurst analysis of dynamic networks." Chaos: An Interdisciplinary Journal of Nonlinear Science 32, no. 2 (February 2022): 023130. http://dx.doi.org/10.1063/5.0070170.

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The sequence of network snapshots with time stamps is an effective tool for describing system dynamics. First, this article constructs a multifractal analysis of a snapshot network, in which the Hurst integral is used to describe the fractal structure hidden in structural dynamics. Second, we adjusted the network model and conducted comparative analysis to clarify the meaning of the Hurst exponent and found that the snapshot network usually includes multiple fractal structures, such as local and global fractal structures. Finally, we discussed the fractal structure of two real network datasets. We found that the real snapshot network also includes rich dynamics, which can be distinguished by the Hurst exponent. In particular, the dynamics of financial networks includes multifractal structures. This article provides a perspective to study the dynamic networks, thereby indirectly describing the fractal characteristics of complex system dynamics.
5

LIU, Rongqiang, Hongwei GUO, Xu yan HOU, and Zongquan DENG. "Dynamic equivalent continuum modeling of beamlike space lattice structure." Abstracts of the international conference on advanced mechatronics : toward evolutionary fusion of IT and mechatronics : ICAM 2010.5 (2010): 486–91. http://dx.doi.org/10.1299/jsmeicam.2010.5.486.

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6

Wang, Ran, Hao Tian, Hong Liu Wang, Yang Zhao, Chen Yang, and Xin Bin Hou. "SSPS Dynamic Modeling and the Flexible Vibration Suppression." Applied Mechanics and Materials 799-800 (October 2015): 724–27. http://dx.doi.org/10.4028/www.scientific.net/amm.799-800.724.

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Space solar power satellite (SSPS) as a very large flexible spacecraft structure with complex configuration, large size and number of units bring the difficulties to dynamics modeling and analysis. Considering SSPS structure characteristics, equivalent strain and kinetic energy theory is adopted to establish the equivalent beam model of SSPS truss structure. The assumed mode method is adopted to describe the flexible body. The modal truncation method implements the dynamics system order reduction. Mixed coordinates method is adopted to establish the rigid-flexible coupled dynamic model. The established dynamic model can reflect dynamic characteristics of SSPS, achieve control requirements for SSPS and decrease the workload of simulation calculation. The independent modal space control (IMSC) method is proposed to active control research view of the large displacement, nonlinearity, low and dense mode frequency, light damping of flexible structures. Simulation results on flexible solar array show the effectiveness of the control method.
7

Lipták, Imrich, Alojz Kopáčik, Ján Erdélyi, and Peter Kyrinovič. "Dynamic Deformation Monitoring of Bridge Structure." Selected Scientific Papers - Journal of Civil Engineering 8, no. 2 (November 1, 2013): 13–20. http://dx.doi.org/10.2478/sspjce-2013-0014.

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Abstract Building structures are extremely sensitive at influence of outdoor conditions. Most often these are the influence of wind, sunshine, temperature changes of the surrounding and at least the influence of the own or other loading. According to resonance of the structure with the surrounding is coming to vibration and oscillation in relative high frequency interval (0.1 Hz - 100.0 Hz). These phenomena significantly affect the static and dynamic characteristics of structures, their safety and functionality. The paper brings example of monitoring these phenomena. The object of monitoring is the Danube Bridge Apollo in Bratislava, which main steel structure was measured by acceleration sensors with frequency up to10 Hz. The main topic of the paper is the analysis of dynamic behavior of structure using spectral analysis method. The usage of Fourier Transform is described, own frequencies and amplitudes of structure oscillation are calculated.
8

Chen, Qing, Oded Lachish, Sven Helmer, and Michael H. Böhlen. "Dynamic spanning trees for connectivity queries on fully-dynamic undirected graphs." Proceedings of the VLDB Endowment 15, no. 11 (July 2022): 3263–76. http://dx.doi.org/10.14778/3551793.3551868.

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Answering connectivity queries is fundamental to fully dynamic graphs where edges and vertices are inserted and deleted frequently. Existing work proposes data structures and algorithms with worst case guarantees. We propose a new data structure, the dynamic tree (D-tree), together with algorithms to construct and maintain it. The D-tree is the first data structure that scales to fully dynamic graphs with millions of vertices and edges and, on average, answers connectivity queries much faster than data structures with worst case guarantees.
9

Sachs, K., S. Itani, J. Fitzgerald, B. Schoeberl, G. P. Nolan, and C. J. Tomlin. "Single timepoint models of dynamic systems." Interface Focus 3, no. 4 (August 6, 2013): 20130019. http://dx.doi.org/10.1098/rsfs.2013.0019.

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Many interesting studies aimed at elucidating the connectivity structure of biomolecular pathways make use of abundance measurements, and employ statistical and information theoretic approaches to assess connectivities. These studies often do not address the effects of the dynamics of the underlying biological system, yet dynamics give rise to impactful issues such as timepoint selection and its effect on structure recovery. In this work, we study conditions for reliable retrieval of the connectivity structure of a dynamic system, and the impact of dynamics on structure-learning efforts. We encounter an unexpected problem not previously described in elucidating connectivity structure from dynamic systems, show how this confounds structure learning of the system and discuss possible approaches to overcome the confounding effect. Finally, we test our hypotheses on an accurate dynamic model of the IGF signalling pathway. We use two structure-learning methods at four time points to contrast the performance and robustness of those methods in terms of recovering correct connectivity.
10

Madani, B., F. Behnamfar, and H. Tajmir Riahi. "Dynamic response of structures subjected to pounding and structure–soil–structure interaction." Soil Dynamics and Earthquake Engineering 78 (November 2015): 46–60. http://dx.doi.org/10.1016/j.soildyn.2015.07.002.

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Дисертації з теми "Structure and dynamic":

1

Large, Edward Wilson. "Dynamic representation of musical structure." Connect to resource, 1994. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osub42551808.

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Thesis (Ph. D.)--Ohio State University, 1994.
Advisor: J.B. Pollack, Dept. of Computer and Information Sciences. Includes bibliographical references (leaves 197-208). Available online via OhioLINK's ETD Center.
2

Chiba, Ayano. "Dynamic structure of liquid chalcogens." 京都大学 (Kyoto University), 2003. http://hdl.handle.net/2433/148354.

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3

Sribalaskandarajah, Kandiah. "A computational framework for dynamic soil-structure interaction analysis /." Thesis, Connect to this title online; UW restricted, 1996. http://hdl.handle.net/1773/10180.

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4

MENICHINI, AMILCAR ARMANDO. "Financial Frictions and Capital Structure Choice: A Structural Dynamic Estimation." Diss., The University of Arizona, 2011. http://hdl.handle.net/10150/145397.

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This thesis studies different aspects of firm decisions by using a dynamic model. I estimate a dynamic model of the firm based on the trade-off theory of capital structure that endogenizes investment, leverage, and payout decisions. For the estimation of the model I use Efficient Method of Moments (EMM), which allows me to recover the structural parameters that best replicate the characteristics of the data. I start analyzing the question of whether target leverage varies over time. While this is a central issue in finance, there is no consensus in the literature on this point. I propose an explanation that reconciles some of the seemingly contradictory empirical evidence. The dynamic model generates a target leverage that changes over time and consistently reproduces the results of Lemmon, Roberts, and Zender (2008). These findings suggest that the time-varying target leverage assumption of the big bulk of the previous literature is not incompatible with the evidence presented by Lemmon, Roberts, and Zender (2008). Then I study how corporate income tax payments vary with the corporate income tax rate. The dynamic model produces a bell-shaped relationship between tax revenue and the tax rate that is consistent with the notion of the Laffer curve. The dynamic model generates the maximum tax revenue for a tax rate between 36% and 41%. Finally, I investigate the impact of financial constraints on investment decisions by firms. Model results show that investment-cash flow sensitivity is higher for less financially constrained firms. This result is consistent with Kaplan and Zingales (1997). The dynamic model also rationalizes why large and mature firms have a positive and significant investment-cash flow sensitivity.
5

Tee, Chee Heong. "Dynamic response of plates and buried structures." Morgantown, W. Va. : [West Virginia University Libraries], 2005. https://etd.wvu.edu/etd/controller.jsp?moduleName=documentdata&jsp%5FetdId=3803.

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Thesis (M.S.)--West Virginia University, 2005.
Title from document title page. Document formatted into pages; contains xi, 87 p. : ill. (some col.). Vita. Includes abstract. Includes bibliographical references (p. 76-78).
6

Miró, Ramírez Pere. "Giant polyoxometalates : dynamic structure and reactivity." Doctoral thesis, Universitat Rovira i Virgili, 2010. http://hdl.handle.net/10803/9104.

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Giant Polyoxometalates : Dynamic Structure and Reactivity.

In this thesis different methods were used to study several systems in which giant polyoxometalates are involved. The validity of the theoretical methods applied and the results obtained were always contrasted with the experimental evidence provided by the groups of Prof. Achim Müller (Bielefeld) and Prof. Marcella Bonchio (Padova). In certain cases the theoretical results provided an explanation for experimental observations and in other cases they had allowed prediction as main objective.

Chapter IV presents the results regarding encapsulated water molecules inside the giant polyoxometalate cavities. Chapter V presents the results of the studies about ion pairing on polyoxometalates. Chapters VI and VII presents the results of two different polyoxometalates and their catalytic activity. Finally Chapter VIII presents a theoretical study on the effect of counterions on the growth of giant uranium polyperoxometalates.
Polioxometal·lats Gegants: Estructura Dinàmica i Reactivitat.

En la present tesi diferents mètodes han estat utilitzats per estudiar diversos sistemes on els polyoxometalats gegants juguen un paper fonamental. La validesa dels mètodes computacionals utilitzats i dels resultats obtinguts han estat sempre contrastats amb les evidencies experimentals facilitades pels grups del Prof. Achim Müller (Bielefeld) i Prof. Marcella Bonchio (Padova). En alguns casos els resultats computacionals han permès explicar les observacions experimentals i en d'altres han permet fer prediccions com a principal objectiu.

En el capítol IV es presenten els resultats referents a l'estructura de l'aigua encapsulada en les cavitats presents a polioxometal·lats gegants. El capítol V presenta els resultats dels estudis sobre ion pairing en polioxometal·lats. Els capítols VI i VII presenten els resultats de dos sistemes diferents i la seva activitat com a catalitzadors. Finalment, el capítol VIII presenta un estudi teòric sobre l'efecte dels contraions en el creixement de poliperoxometal·lats gegants d'urani.
7

Stewart, John Charles. "Phosphatetrylenes : Synthesis, Structure and Dynamic Behaviour." Thesis, University of Newcastle Upon Tyne, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.506502.

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8

Jones, Christopher Andrew. "Crowd-structure dynamic interaction in stadia." Thesis, University of Sheffield, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.543299.

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9

Håkansson, Andreas. "Structure dynamic study of noise encapsulations." Thesis, KTH, Farkost och flyg, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-143504.

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This report is the result of a study performed as a master thesis. The study involves different noise encapsulations intended for Scania trucks. The work was performed at the Marcus Wallenberg Laboratory for Sound and Vibration Research, MWL. The study consists of two parts. The first part is a comparison survey concerning the sound reduction qualities of different types of noise encapsulations. The second part is a modal survey of the standard noise encapsulation currently employed by Scania. The report is divided into two chapters each treating one of the surveys. Both chapters start with a short theoretical deduction and description of the method that is being used. Thereafter follows a practical description of how the survey was executed. The main results are given last in each chapter.
10

Agre, Philip. "The dynamic structure of everyday life." Thesis, Massachusetts Institute of Technology, 1988. http://hdl.handle.net/1721.1/14422.

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Книги з теми "Structure and dynamic":

1

Gane, Roy. Ritual dynamic structure. Piscataway, NJ: Gorgias Press, 2004.

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2

Gane, Roy. Ritual dynamic structure. Piscataway, NJ: Gorgias Press, 2005.

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3

Nawalkha, Sanjay K., Natalia A. Beliaeva, and Gloria M. Soto, eds. Dynamic Term Structure Modeling. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781119201571.

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4

Wolf, John P. Dynamic soil-structure interaction. Englewood Cliffs, N.J: Prentice-Hall, 1985.

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5

Halasz, Peter, and Robert Bodizs. Dynamic Structure of NREM Sleep. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4333-8.

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6

Jensen, Hector, and Costas Papadimitriou. Sub-structure Coupling for Dynamic Analysis. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12819-7.

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7

Gülkan, Polat, and Ray W. Clough, eds. Developments in Dynamic Soil-Structure Interaction. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1755-5.

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8

Gómez M., Guillermo L. Dynamic Probabilistic Models and Social Structure. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2524-6.

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9

Polat, Gülkan, Clough Ray W. 1920-, and NATO Advanced Study Institute on Developments in Dynamic Soil-Structure Interactions (1992 : Kemer Buca︣gı, Antalya ̇Ili, Turkey), eds. Developments in dynamic soil-structure interaction. Dordrecht: Kluwer Academic Publishers, 1993.

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10

Tsitouras, A. K. Dynamic advertising, price and market structure. London: Department of Economics, Queen Mary College, 1987.

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Частини книг з теми "Structure and dynamic":

1

Christ, Steffen. "Motivation and Structure." In Operationalizing Dynamic Pricing Models, 15–21. Wiesbaden: Gabler, 2011. http://dx.doi.org/10.1007/978-3-8349-6184-6_2.

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2

van der Linde, Coby. "Market Process and Structure." In Dynamic International Oil Markets, 203–13. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-015-7913-1_8.

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3

Färe, Rolf, and Shawna Grosskopf. "Static Production Structure." In Intertemporal Production Frontiers: With Dynamic DEA, 9–45. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-009-1816-0_2.

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4

van der Linde, Coby. "Market Conditions, Developments and Structure." In Dynamic International Oil Markets, 6–44. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-015-7913-1_2.

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5

Clough, Ray W. "A Structural Engineer’s View of Soil-Structure-Interaction." In Developments in Dynamic Soil-Structure Interaction, 91–109. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1755-5_5.

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6

Lee, John H. "Dynamic Structure of Gaseous Detonation." In Dynamic Structure of Detonation in Gaseous and Dispersed Media, 1–25. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3548-1_1.

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Song, Seokwoo, and Seong-Hoon Choi. "Modeling Dynamic Organizational Network Structure." In Reshaping Society through Analytics, Collaboration, and Decision Support, 191–203. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11575-7_13.

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Wei, Dan. "Domain Structure and Dynamic Process." In Micromagnetics and Recording Materials, 79–105. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28577-6_4.

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9

Oza, K. S., S. R. Patil, and R. K. Kamat. "Structure and Dynamic Memory Allocation." In 'C' Programming in an Open Source Paradigm, 117–38. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003337461-5.

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Sahoo, Santosh Kumar, M. Mahesh Sharma, and B. B. Choudhury. "A Dynamic Bottle Inspection Structure." In Advances in Intelligent Systems and Computing, 873–84. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8055-5_77.

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Тези доповідей конференцій з теми "Structure and dynamic":

1

Livshits, D., S. Yaniv, and M. Karpel. "Dynamic stability of free flight rockets." In 37th Structure, Structural Dynamics and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1996. http://dx.doi.org/10.2514/6.1996-1344.

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2

Kim, Ki-Ook. "Improved hybrid dynamic condensation for eigenproblems." In 37th Structure, Structural Dynamics and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1996. http://dx.doi.org/10.2514/6.1996-1401.

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3

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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4

Bendiksen, Oddvar, and Guang-Yaw Hwang. "Transonic flutter suppression using dynamic twist control." In 37th Structure, Structural Dynamics and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1996. http://dx.doi.org/10.2514/6.1996-1343.

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Lin, C., and T. Cole. "Development of GPS IIR space vehicle dynamic model." In 37th Structure, Structural Dynamics and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1996. http://dx.doi.org/10.2514/6.1996-1587.

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Croop, Harold, Michael Camden, and Kenneth Wentz. "Dynamic fatigue of carbon-carbon thermal protection systems." In 37th Structure, Structural Dynamics and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1996. http://dx.doi.org/10.2514/6.1996-1618.

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WEEKS, G. "Dynamic analysis of a deployable space structure." In 26th Structures, Structural Dynamics, and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1985. http://dx.doi.org/10.2514/6.1985-593.

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Yang, B. "Integral formulas for non-self-adjoint distributed dynamic systems." In 37th Structure, Structural Dynamics and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1996. http://dx.doi.org/10.2514/6.1996-1397.

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Pai, P., Mark Schulz, Amir Naghshineh-Pour, and Jaycee Chung. "Modeling and dynamic characteristics of composite-repaired aluminum plates." In 37th Structure, Structural Dynamics and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1996. http://dx.doi.org/10.2514/6.1996-1349.

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Luo, H., and S. Hanagud. "Dynamic learning rate neural network training and delamination detection." In 37th Structure, Structural Dynamics and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1996. http://dx.doi.org/10.2514/6.1996-1606.

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Звіти організацій з теми "Structure and dynamic":

1

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.
2

Ju, Frederick D. Structure Dynamic Theories for Damage Diagnosis. Fort Belvoir, VA: Defense Technical Information Center, October 1988. http://dx.doi.org/10.21236/ada203209.

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3

Heidenreich, Ben, Liam McAllister, and Gonzalo Torroba. Dynamic SU(2) structure from seven-branes. Office of Scientific and Technical Information (OSTI), December 2010. http://dx.doi.org/10.2172/1000379.

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4

Gonzalez Pibernat, Gabriel, and Miguel Mascaró Portells. Dynamic structure of single-layer neural networks. Fundación Avanza, May 2023. http://dx.doi.org/10.60096/fundacionavanza/2392022.

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This article examines the practical applications of single hidden layer neural networks in machine learning and artificial intelligence. They have been used in diverse fields, such as finance, medicine, and autonomous vehicles, due to their simplicit
5

Atkeson, Andrew, and Harold Cole. A Dynamic Theory of Optimal Capital Structure and Executive Compensation. Cambridge, MA: National Bureau of Economic Research, January 2005. http://dx.doi.org/10.3386/w11083.

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6

Baalrud, Scott. Final Report: Dynamic Structure of Magnetized High Energy Density Plasmas. Office of Scientific and Technical Information (OSTI), December 2023. http://dx.doi.org/10.2172/2229031.

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7

G. Wagenblast. Preliminary Dynamic Siol-Structure-Interaction Analysis for the Waste Handling Building. Office of Scientific and Technical Information (OSTI), May 2000. http://dx.doi.org/10.2172/837085.

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8

Engle, Robert, and Victor Ng. Time-Varying Volatility and the Dynamic Behavior of the Term Structure. Cambridge, MA: National Bureau of Economic Research, April 1991. http://dx.doi.org/10.3386/w3682.

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9

Liszka, Tadeusz J., C. A. Duarte, and O. P. Hamzeh. Hp-Meshless Cloud Method for Dynamic Fracture in Fluid Structure Interaction. Fort Belvoir, VA: Defense Technical Information Center, March 2000. http://dx.doi.org/10.21236/ada376673.

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10

Philbrick, C. R., D. P. Sipler, B. E. Dix, G. Davidson, and W. P. Moskowitz. Measurements of the High Latitude Middle Atmosphere Dynamic Structure Using Lidar. Fort Belvoir, VA: Defense Technical Information Center, February 1987. http://dx.doi.org/10.21236/ada224390.

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