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Journal articles on the topic 'Action dynamics'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 February 2022

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1

Clarke, W. Norris. "Dynamics in Action." International Philosophical Quarterly 40, no. 4 (2000): 523–25. http://dx.doi.org/10.5840/ipq200040450.

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2

Lee, In Ho, Sukky Jun, Hanchul Kim, Seung Yeon Kim, and Jooyoung Lee. "Exploring dynamic pathways by action-derived molecular dynamics." International Journal of Nanotechnology 3, no. 2/3 (2006): 334. http://dx.doi.org/10.1504/ijnt.2006.009587.

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3

JUN, S., S. PENDURTI, I. H. LEE, S. Y. KIM, H. S. PARK, and Y. H. KIM. "ACTION-DERIVED AB INITIO MOLECULAR DYNAMICS." International Journal of Applied Mechanics 01, no. 03 (2009): 469–82. http://dx.doi.org/10.1142/s1758825109000277.

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Action-derived molecular dynamics (ADMD) is a numerical method to search for minimum-energy dynamic pathways on the potential-energy surface of an atomic system. The method is based on Hamilton's least-action principle and has been developed for problems of activated processes, rare events, and long-time simulations. In this paper, ADMD is further extended to incorporate ab initio total-energy calculations, which enables the detailed electronic analysis of transition states as well as the exploration of energy landscapes. Three numerical examples are solved to demonstrate the capability of thi

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4

Fukaya, Tomohiro. "Coarse dynamics and fixed-point theorem." Nagoya Mathematical Journal 202 (June 2011): 1–13. http://dx.doi.org/10.1017/s0027763000010217.

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AbstractWe study semigroup actions on a coarse space and the induced actions on the Higson corona from a dynamical point of view. Our main theorem states that if an action of an abelian semigroup on a proper coarse space satisfies certain conditions, the induced action has a fixed point in the Higson corona. As a corollary, we deduce a coarse version of Brouwer’s fixed-point theorem.

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5

Fukaya, Tomohiro. "Coarse dynamics and fixed-point theorem." Nagoya Mathematical Journal 202 (June 2011): 1–13. http://dx.doi.org/10.1215/00277630-1260414.

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AbstractWe study semigroup actions on a coarse space and the induced actions on the Higson corona from a dynamical point of view. Our main theorem states that if an action of an abelian semigroup on a proper coarse space satisfies certain conditions, the induced action has a fixed point in the Higson corona. As a corollary, we deduce a coarse version of Brouwer’s fixed-point theorem.

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6

Koval’chenko, M. S. "The dynamics of mechanical actions on materials VII. Transient dynamic processes in static action." Powder Metallurgy and Metal Ceramics 37, no. 3-4 (1998): 196–203. http://dx.doi.org/10.1007/bf02675983.

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7

Salter, David. "Career dynamics and least action." Physics World 14, no. 5 (2001): 68. http://dx.doi.org/10.1088/2058-7058/14/5/38.

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8

Eyink, Gregory L. "Action Principle in Statistical Dynamics." Progress of Theoretical Physics Supplement 130 (1998): 77–86. http://dx.doi.org/10.1143/ptps.130.77.

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9

Mansur, Al, Yasushi Makihara, and Yasushi Yagi. "Inverse Dynamics for Action Recognition." IEEE Transactions on Cybernetics 43, no. 4 (2013): 1226–36. http://dx.doi.org/10.1109/tsmcb.2012.2226879.

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10

Costalat-Founeau, Anne Marie. "Identity Dynamics, Action and Context." Journal for the Theory of Social Behaviour 29, no. 3 (1999): 289–300. http://dx.doi.org/10.1111/1468-5914.00103.

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11

Huberman, Bernardo A., and Natalie S. Glance. "The dynamics of collective action." Computational Economics 8, no. 1 (1995): 27–46. http://dx.doi.org/10.1007/bf01298496.

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12

Yuan, Yuan, Dong Wang, and Qi Wang. "Memory-Augmented Temporal Dynamic Learning for Action Recognition." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 9167–75. http://dx.doi.org/10.1609/aaai.v33i01.33019167.

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Human actions captured in video sequences contain two crucial factors for action recognition, i.e., visual appearance and motion dynamics. To model these two aspects, Convolutional and Recurrent Neural Networks (CNNs and RNNs) are adopted in most existing successful methods for recognizing actions. However, CNN based methods are limited in modeling long-term motion dynamics. RNNs are able to learn temporal motion dynamics but lack effective ways to tackle unsteady dynamics in long-duration motion. In this work, we propose a memory-augmented temporal dynamic learning network, which learns to wr

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13

Sokolov, Alexander V. "Features of collective action in modern Russia: dynamics, digitalization and results." Socialʹnye i gumanitarnye znania 6, no. 1 (2020): 30. http://dx.doi.org/10.18255/2412-6519-2020-1-30-45.

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The article deal with the analysis of the phenomenon of collective action. A review of modern ideas about the features of collective action, mass action in politics is made. The great importance of collective identity in the process of organizing and implementing of collective actions is indicated. The network nature of modern collective actions and the significant influence of information and communication technologies in the process of their organization are noted. To illustrate the features of collective action in Russia, the article presents the results of a longitudinal study of collectiv

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14

Schiavio, Andrea. "Action, Enaction, Inter(en)action." Empirical Musicology Review 9, no. 3-4 (2015): 254. http://dx.doi.org/10.18061/emr.v9i3-4.4440.

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<p>Leman and Maes offer a comprehensive review of the main theoretical and empirical themes covered by the research on <em>music</em> and <em>embodied cognition</em>. Their article provides an insight into the work being carried at the Institute for Psychoacoustic and Electronic Music (IPEM) of Ghent University, Belgium - in which they work - and presents a theory of the main implications of embodiment for music perception. The present paper is divided into three parts. In the first one, I will explore the conceptual topography of embodied music cognition as maint

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15

Shaya, Edward J., R. Brent Tully, Yehuda Hoffman, and Daniel Pomarède. "Action Dynamics of the Local Supercluster." Astrophysical Journal 850, no. 2 (2017): 207. http://dx.doi.org/10.3847/1538-4357/aa9525.

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16

Oh, Miran, and Yoonjeong Lee. "Focusing on vertical larynx action dynamics." Journal of the Acoustical Society of America 148, no. 4 (2020): 2655. http://dx.doi.org/10.1121/1.5147391.

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17

Maruya, K., E. Yang, and R. Blake. "Action can influence dynamics of binocularRivalry." Journal of Vision 7, no. 9 (2010): 805. http://dx.doi.org/10.1167/7.9.805.

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18

Koehl, Patrice. "Minimum action principle and shape dynamics." Journal of The Royal Society Interface 14, no. 130 (2017): 20170031. http://dx.doi.org/10.1098/rsif.2017.0031.

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In this paper, we propose a new method for computing a distance between two shapes embedded in three-dimensional space. Instead of comparing directly the geometric properties of the two shapes, we measure the cost of deforming one of the two shapes into the other. The deformation is computed as the geodesic between the two shapes in the space of shapes. The geodesic is found as a minimizer of the Onsager–Machlup action, based on an elastic energy for shapes that we define. Its length is set to be the integral of the action along that path; it defines an intrinsic quasi-metric on the space of s

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19

Eyink, Gregory L. "Action principle in nonequilibrium statistical dynamics." Physical Review E 54, no. 4 (1996): 3419–35. http://dx.doi.org/10.1103/physreve.54.3419.

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20

Hilhorst, Dorothea, Dennis Dijkzeul, and Joost Herman. "Editorial: social dynamics of humanitarian action." Disasters 34 (March 11, 2010): S127—S129. http://dx.doi.org/10.1111/j.1467-7717.2010.01148.x.

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21

Warren, William H. "The dynamics of perception and action." Psychological Review 113, no. 2 (2006): 358–89. http://dx.doi.org/10.1037/0033-295x.113.2.358.

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22

Li, Qianxiao, and Weinan E. "The Free Action of Nonequilibrium Dynamics." Journal of Statistical Physics 161, no. 2 (2015): 300–325. http://dx.doi.org/10.1007/s10955-015-1339-1.

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23

Xia, Wen Min, and Xue Mei Liu. "The Response Analysis of the Train-Bridge System under Seismic Action." Applied Mechanics and Materials 587-589 (July 2014): 1443–47. http://dx.doi.org/10.4028/www.scientific.net/amm.587-589.1443.

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This article based on bridge structural dynamics, vehicle dynamics and soil dynamics theory, set up the practical space mode, with an example of a dual-line 32 m single box section beam on Beijing-Shanghai Railway Line. According to the typical soft soil sites of Shanghai, the dynamic response of the bridge was analyzed by the large finite element software ANSYS under seismic action. Moreover the impact about the dynamic interaction of pile-soil-structure affecting on the design of high-speed railway bridges was got which will provide reference and basis for the construction and design similar

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24

Lugovoi, P. Z., V. N. Sirenko, Yu V. Skosarenko, and T. Ya Batutina. "Mathematical Modeling of Cylindrical Adapter Dynamics under the Action of Local Momentary Loads." Science and innovation 12, no. 3 (2016): 35–42. http://dx.doi.org/10.15407/scine12.03.035.

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25

PARKHE, KIRAN. "Nilpotent dynamics in dimension one: structure and smoothness." Ergodic Theory and Dynamical Systems 36, no. 7 (2015): 2258–72. http://dx.doi.org/10.1017/etds.2015.8.

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Let $M$ be a connected $1$-manifold, and let $G$ be a finitely-generated nilpotent group of homeomorphisms of $M$. Our main result is that one can find a collection $\{I_{i,j},M_{i,j}\}$ of open disjoint intervals with dense union in $M$, such that the intervals are permuted by the action of $G$, and the restriction of the action to any $I_{i,j}$ is trivial, while the restriction of the action to any $M_{i,j}$ is minimal and abelian. It is a classical result that if $G$ is a finitely-generated, torsion-free nilpotent group, then there exist faithful continuous actions of $G$ on $M$. Farb and F

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26

JENKINS, ODEST CHADWICKE, GERMÁN GONZÁLEZ SERRANO, and MATTHEW M. LOPER. "INTERACTIVE HUMAN POSE AND ACTION RECOGNITION USING DYNAMICAL MOTION PRIMITIVES." International Journal of Humanoid Robotics 04, no. 02 (2007): 365–85. http://dx.doi.org/10.1142/s0219843607001060.

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There is currently a division between real-world human performance and the decision making of socially interactive robots. This circumstance is partially due to the difficulty in estimating human cues, such as pose and gesture, from robot sensing. Towards bridging this division, we present a method for kinematic pose estimation and action recognition from monocular robot vision through the use of dynamical human motion vocabularies. Our notion of a motion vocabulary is comprised of movement primitives that structure a human's action space for decision making and predict human movement dynamics

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27

Nishimura, Haruki, and Mac Schwager. "SACBP: Belief space planning for continuous-time dynamical systems via stochastic sequential action control." International Journal of Robotics Research 40, no. 10-11 (2021): 1167–95. http://dx.doi.org/10.1177/02783649211037697.

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We propose a novel belief space planning technique for continuous dynamics by viewing the belief system as a hybrid dynamical system with time-driven switching. Our approach is based on the perturbation theory of differential equations and extends sequential action control to stochastic dynamics. The resulting algorithm, which we name SACBP, does not require discretization of spaces or time and synthesizes control signals in near real-time. SACBP is an anytime algorithm that can handle general parametric Bayesian filters under certain assumptions. We demonstrate the effectiveness of our approa

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28

Battista, Nicholas Anthony, and Laura Ann Miller. "Bifurcations in valveless pumping techniques from a coupled fluid-structure-electrophysiology model in heart development." BIOMATH 6, no. 2 (2017): 1711297. http://dx.doi.org/10.11145/j.biomath.2017.11.297.

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We explore an embryonic heart model that couples electrophysiology and muscle-force generation to flow induced using a $2D$ fluid-structure interaction framework based on the immersed boundary method. The propagation of action potentials are coupled to muscular contraction and hence the overall pumping dynamics. In comparison to previous models, the electro-dynamical model does not use prescribed motion to initiate the pumping motion, but rather the pumping dynamics are fully coupled to an underlying electrophysiology model, governed by the FitzHugh-Nagumo equations. Perturbing the diffusion p

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29

Rooney-Varga, Juliette N., Florian Kapmeier, John D. Sterman, Andrew P. Jones, Michele Putko, and Kenneth Rath. "The Climate Action Simulation." Simulation & Gaming 51, no. 2 (2019): 114–40. http://dx.doi.org/10.1177/1046878119890643.

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Background. We describe and provide an initial evaluation of the Climate Action Simulation, a simulation-based role-playing game that enables participants to learn for themselves about the response of the climate-energy system to potential policies and actions. Participants gain an understanding of the scale and urgency of climate action, the impact of different policies and actions, and the dynamics and interactions of different policy choices. Intervention. The Climate Action Simulation combines an interactive computer model, En-ROADS, with a role-play in which participants make decisions ab

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30

Heckathorn, Douglas D. "The Dynamics and Dilemmas of Collective Action." American Sociological Review 61, no. 2 (1996): 250. http://dx.doi.org/10.2307/2096334.

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31

Duran, Nicholas D., Rick Dale, and Danielle S. McNamara. "The action dynamics of overcoming the truth." Psychonomic Bulletin & Review 17, no. 4 (2010): 486–91. http://dx.doi.org/10.3758/pbr.17.4.486.

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32

Vergnano, Angela Maria, Nelson Rebola, Leonid P. Savtchenko, et al. "Zinc Dynamics and Action at Excitatory Synapses." Neuron 82, no. 5 (2014): 1101–14. http://dx.doi.org/10.1016/j.neuron.2014.04.034.

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33

Conway-Campbell, Becky L., John R. Pooley, Gordon L. Hager, and Stafford L. Lightman. "Molecular dynamics of ultradian glucocorticoid receptor action." Molecular and Cellular Endocrinology 348, no. 2 (2012): 383–93. http://dx.doi.org/10.1016/j.mce.2011.08.014.

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34

Maler, Oded, Ádám M. Halász, Olivier Lebeltel, and Ouri Maler. "Exploring the Dynamics of Mass Action Systems." Electronic Proceedings in Theoretical Computer Science 125 (August 27, 2013): 84–91. http://dx.doi.org/10.4204/eptcs.125.6.

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35

Callan, Curtis G., and J. M. Maldacena. "Brane dynamics from the Born-Infeld action." Nuclear Physics B 513, no. 1-2 (1998): 198–212. http://dx.doi.org/10.1016/s0550-3213(97)00700-1.

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36

Niki, Etsuo, and Noriko Noguchi. "Dynamics of Antioxidant Action of Vitamin E." Accounts of Chemical Research 37, no. 1 (2004): 45–51. http://dx.doi.org/10.1021/ar030069m.

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37

Grmela, Miroslav. "Fluctuations in extended mass-action-law dynamics." Physica D: Nonlinear Phenomena 241, no. 10 (2012): 976–86. http://dx.doi.org/10.1016/j.physd.2012.02.008.

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38

McNamara, Adam, Giovanni Buccino, Mareike M. Menz, et al. "Neural Dynamics of Learning Sound—Action Associations." PLoS ONE 3, no. 12 (2008): e3845. http://dx.doi.org/10.1371/journal.pone.0003845.

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39

Volovik, G. E. "From effective BCS action to vortex dynamics." Journal of Experimental and Theoretical Physics Letters 65, no. 8 (1997): 676–82. http://dx.doi.org/10.1134/1.567405.

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40

Fronsdal, Christian. "Action principles for hydro- and thermo-dynamics." Physics of Particles and Nuclei 48, no. 2 (2017): 211–26. http://dx.doi.org/10.1134/s1063779617020046.

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41

Duckett, Graham, and Dwight Barkley. "Modeling the Dynamics of Cardiac Action Potentials." Physical Review Letters 85, no. 4 (2000): 884–87. http://dx.doi.org/10.1103/physrevlett.85.884.

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42

Siré, Ernst-Olof. "Comparative Dynamics of Constrained Mass Action Kinetics." Berichte der Bunsengesellschaft für physikalische Chemie 89, no. 6 (1985): 682–85. http://dx.doi.org/10.1002/bbpc.19850890621.

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43

Dobbin, Frank, Erhard Friedberg, and Emoretta Yang. "Local Orders: The Dynamics of Organized Action." Contemporary Sociology 27, no. 6 (1998): 600. http://dx.doi.org/10.2307/2654247.

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44

Balakin, A. A., and V. A. Mironov. "Self-action dynamics of ultrashort electromagnetic pulses." Journal of Experimental and Theoretical Physics Letters 75, no. 12 (2002): 617–20. http://dx.doi.org/10.1134/1.1503323.

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45

Fronsdal, Christian. "Action principles for hydro- and thermo-dynamics." International Journal of Modern Physics A 32, no. 09 (2017): 1741016. http://dx.doi.org/10.1142/s0217751x17410160.

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For all its brilliant success stories, theoretical physics is actually in a lamentable state. The best way to highlight the situation and at the same time point out that it is not difficult to do better — using action principles — is to present several examples.

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46

Nishitani, N., and R. Hari. "Temporal dynamics of cortical representation for action." Proceedings of the National Academy of Sciences 97, no. 2 (2000): 913–18. http://dx.doi.org/10.1073/pnas.97.2.913.

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47

Kjeldgaard, Dannie, Søren Askegaard, Jannick Ørnstedt Rasmussen, and Per Østergaard. "Consumers’ collective action in market system dynamics." Marketing Theory 17, no. 1 (2016): 51–70. http://dx.doi.org/10.1177/1470593116658197.

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This article examines how consumers may work strategically to alter market dynamics through formally organized activities. We address this issue in the context of the Danish beer market and its evolution over the last two decades, with a specific empirical focus on the role of a formally organized consumer association. We draw on key tenets of recent advances in sociological field theory, which views social order as comprising multiple and related strategic action fields. From this perspective, we describe the Danish beer market and its transformation, with an emphasis on how Danish beer enthu

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48

KITTS, JAMES A. "Dynamics and Stability of Collective Action Norms." Journal of Mathematical Sociology 32, no. 2 (2008): 142–63. http://dx.doi.org/10.1080/00222500801932014.

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49

Litvak, A. G., V. A. Mironov, and S. A. Skobelev. "Self-action dynamics of ultrashort electromagnetic pulses." Journal of Experimental and Theoretical Physics Letters 82, no. 3 (2005): 105–9. http://dx.doi.org/10.1134/1.2086124.

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50

Pressing, Jeff. "The referential dynamics of cognition and action." Psychological Review 106, no. 4 (1999): 714–47. http://dx.doi.org/10.1037/0033-295x.106.4.714.

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