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Journal articles on the topic 'Asynchronous dynamics'

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Author: Grafiati

Published: 10 March 2023

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1

Cirillo, Emilio Nicola Maria, Vanessa Jacquier, and Cristian Spitoni. "Metastability of Synchronous and Asynchronous Dynamics." Entropy 24, no. 4 (March 24, 2022): 450. http://dx.doi.org/10.3390/e24040450.

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Metastability is a ubiquitous phenomenon in nature, which interests several fields of natural sciences. Since metastability is a genuine non-equilibrium phenomenon, its description in the framework of thermodynamics and statistical mechanics has progressed slowly for a long time. Since the publication of the first seminal paper in which the metastable behavior of the mean field Curie–Weiss model was approached by means of stochastic techniques, this topic has been largely studied by the scientific community. Several papers and books have been published in which many different spin models were studied and different approaches were developed. In this review, we focus on the comparison between the metastable behavior of synchronous and asynchronous dynamics, namely, stochastic processes in discrete time in which, at each time, either all the spins or one single spin is updated. In particular, we discuss how two different stochastic implementations of the very same Hamiltonian give rise to different metastable behaviors.

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2

Tsuda, I., E. Koerner, and H. Shimizu. "Memory Dynamics in Asynchronous Neural Networks." Progress of Theoretical Physics 78, no. 1 (July 1, 1987): 51–71. http://dx.doi.org/10.1143/ptp.78.51.

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3

Bick, Christian, and Michael Field. "Asynchronous networks: modularization of dynamics theorem." Nonlinearity 30, no. 2 (January 6, 2017): 595–621. http://dx.doi.org/10.1088/1361-6544/aa4f4d.

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4

Bick, Christian, and Michael Field. "Asynchronous networks and event driven dynamics." Nonlinearity 30, no. 2 (January 6, 2017): 558–94. http://dx.doi.org/10.1088/1361-6544/aa4f62.

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5

SKODAWESSELY, THOMAS, and KONSTANTIN KLEMM. "FINDING ATTRACTORS IN ASYNCHRONOUS BOOLEAN DYNAMICS." Advances in Complex Systems 14, no. 03 (June 2011): 439–49. http://dx.doi.org/10.1142/s0219525911003098.

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We present a computational method for finding attractors (ergodic sets of states) of Boolean networks under asynchronous update. The approach is based on a systematic removal of state transitions to render the state transition graph acyclic. In this reduced state transition graph, all attractors are fixed points that can be enumerated with little effort in most instances. This attractor set is then extended to the attractor set of the original dynamics. Our numerical tests on standard Kauffman networks indicate that the method is efficient in the sense that the total number of state vectors visited grows moderately with the number of states contained in attractors.

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6

Macauley, Matthew, Jon McCammond, and Henning S. Mortveit. "Dynamics groups of asynchronous cellular automata." Journal of Algebraic Combinatorics 33, no. 1 (May 8, 2010): 11–35. http://dx.doi.org/10.1007/s10801-010-0231-y.

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7

Friston, Karl J. "The labile brain. I. Neuronal transients and nonlinear coupling." Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences 355, no. 1394 (February 29, 2000): 215–36. http://dx.doi.org/10.1098/rstb.2000.0560.

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In this, the first of three papers, the nature of, and motivation for, neuronal transients is described in relation to characterizing brain dynamics. This paper deals with some basic aspects of neuronal dynamics, interactions, coupling and implicit neuronal codes. The second paper develops neuronal transients and nonlinear coupling in the context of dynamic instability and complexity, and suggests that instability or lability is necessary for adaptive self–organization. The final paper addresses the role of neuronal transients through information theory and the emergence of spatio–temporal receptive fields and functional specialization. By considering the brain as an ensemble of connected dynamic systems one can show that a sufficient description of neuronal dynamics comprises neuronal activity at a particular time and its recent history. This history constitutes a neuronal transient. As such, transients represent a fundamental metric of neuronal interactions and, implicitly, a code employed in the functional integration of brain systems. The nature of transients, expressed conjointly in distinct neuronal populations, reflects the underlying coupling among populations. This coupling may be synchronous (and possibly oscillatory) or asynchronous. A critical distinction between synchronous and asynchronous coupling is that the former is essentially linear and the latter is nonlinear. The nonlinear nature of asynchronous coupling enables the rich, context–sensitive interactions that characterize real brain dynamics, suggesting that it plays a role in functional integration that may be as important as synchronous interactions. The distinction between linear and nonlinear coupling has fundamental implications for the analysis and characterization of neuronal interactions, most of which are predicated on linear (synchronous) coupling (e.g. crosscorrelograms and coherence). Using neuromagnetic data it is shown that nonlinear (asynchronous) coupling is, in fact, more abundant and can be more significant than synchronous coupling.

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8

PASEMANN, FRANK. "SYNCHRONOUS AND ASYNCHRONOUS CHAOS IN COUPLED NEUROMODULES." International Journal of Bifurcation and Chaos 09, no. 10 (October 1999): 1957–68. http://dx.doi.org/10.1142/s0218127499001425.

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The parametrized time-discrete dynamics of two recurrently coupled neuromodules is studied analytically and by computer simulations. Conditions for the existence of synchronized dynamics are derived and periodic as well as quasiperiodic and chaotic attractors constrained to a synchronization manifold M are observed. Stability properties of the synchronized dynamics is discussed by using Lyapunov exponents parallel and transversal to the synchronization manifold. Simulation results are presented for selected sets of parameters. It is observed that locally stable synchronous dynamics often coexists with asynchronous periodic, quasiperiodic or even chaotic attractors.

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9

Forte, N., F. Binda, A. Contestabile, F. Benfenati, and P. Baldelli. "Synapsin I Synchronizes GABA Release in Distinct Interneuron Subpopulations." Cerebral Cortex 30, no. 3 (August 30, 2019): 1393–406. http://dx.doi.org/10.1093/cercor/bhz174.

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Abstract Neurotransmitters can be released either synchronously or asynchronously with respect to action potential timing. Synapsins (Syns) are a family of synaptic vesicle (SV) phosphoproteins that assist gamma-aminobutyric acid (GABA) release and allow a physiological excitation/inhibition balance. Consistently, deletion of either or both Syn1 and Syn2 genes is epileptogenic. In this work, we have characterized the effect of SynI knockout (KO) in the regulation of GABA release dynamics. Using patch-clamp recordings in hippocampal slices, we demonstrate that the lack of SynI impairs synchronous GABA release via a reduction of the readily releasable SVs and, in parallel, increases asynchronous GABA release. The effects of SynI deletion on synchronous GABA release were occluded by ω-AgatoxinIVA, indicating the involvement of P/Q-type Ca2+channel-expressing neurons. Using in situ hybridization, we show that SynI is more expressed in parvalbumin (PV) interneurons, characterized by synchronous release, than in cholecystokinin or SOM interneurons, characterized by a more asynchronous release. Optogenetic activation of PV and SOM interneurons revealed a specific reduction of synchronous release in PV/SynIKO interneurons associated with an increased asynchronous release in SOM/SynIKO interneurons. The results demonstrate that SynI is differentially expressed in interneuron subpopulations, where it boosts synchronous and limits asynchronous GABA release.

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10

Kodkin, Vladimir L., and Aleksandr S. Anikin. "The experimental identification method of the dynamic efficiency for frequency regulation algorithms of AEDs." International Journal of Power Electronics and Drive Systems (IJPEDS) 12, no. 1 (March 1, 2021): 59. http://dx.doi.org/10.11591/ijpeds.v12.i1.pp59-66.

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The article proposes and substantiates a method for studying the dynamics of an asynchronous electric drives with frequency control from the input side of the signal for setting the speed of rotation of the electric motor. In this method, a constant speed reference signal is added to a harmonic variable frequency signal. The set of amplitude changes and phase shifts of velocity oscillations are the initial data for identifying the dynamics of the studied control method. The logic of this method is determined by the previously obtained nonlinear transfer function of the link that forms the mechanical moment in the asynchronous electric drive with frequency control. Experiments have shown the dynamic benefits of the drive with positive stator current feedback.

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11

Unfer, Thomas. "Third order asynchronous time integration for gas dynamics." Journal of Computational Physics 440 (September 2021): 110434. http://dx.doi.org/10.1016/j.jcp.2021.110434.

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12

Bick, Christian, and Michael Field. "Functional asynchronous networks: Factorization of dynamics and function." MATEC Web of Conferences 83 (2016): 09001. http://dx.doi.org/10.1051/matecconf/20168309001.

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13

Cao, Yulong, Lei Gao, Stefan Wabnitz, Hongqing Ran, Lingdi Kong, and Tao Zhu. "Experimental revealing of asynchronous transient-soliton buildup dynamics." Optics & Laser Technology 133 (January 2021): 106512. http://dx.doi.org/10.1016/j.optlastec.2020.106512.

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14

Abad, E., G. Nicolis, Jonathan L. Bentz, and John J. Kozak. "Synchronous vs. asynchronous dynamics of diffusion-controlled reactions." Physica A: Statistical Mechanics and its Applications 326, no. 1-2 (August 2003): 69–87. http://dx.doi.org/10.1016/s0378-4371(03)00272-3.

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15

Lumer, Erik D., and Grégoire Nicolis. "Synchronous versus asynchronous dynamics in spatially distributed systems." Physica D: Nonlinear Phenomena 71, no. 4 (March 1994): 440–52. http://dx.doi.org/10.1016/0167-2789(94)90010-8.

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16

Dinwoodie, Ian H. "Vanishing configurations in network dynamics with asynchronous updates." Proceedings of the American Mathematical Society 142, no. 9 (May 22, 2014): 2991–3002. http://dx.doi.org/10.1090/s0002-9939-2014-12044-2.

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17

Gravouil, A., A. Combescure, and M. Brun. "Heterogeneous asynchronous time integrators for computational structural dynamics." International Journal for Numerical Methods in Engineering 102, no. 3-4 (December 12, 2014): 202–32. http://dx.doi.org/10.1002/nme.4818.

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18

Kodkin, Vladimir L., Aleksandr Sergeevich Anikin, and Aleksandr A. Baldenkov. "The dynamics identification of asynchronous electric drives via frequency response." International Journal of Power Electronics and Drive Systems (IJPEDS) 10, no. 1 (March 1, 2019): 66. http://dx.doi.org/10.11591/ijpeds.v10.i1.pp66-73.

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<span>The article substantiates the necessity of identifying the dynamics of asynchronous electric drives with frequency control. It is proposed to use nonlinear transfer functions and the formula of a family of frequency responses of an electric drive, depending on the frequency of the stator voltage and slip. Experiments and simulations confirming theoretical conclusions are presented. The frequency responses of the drive of the stand calculated by the proposed method allowed to explain those problems of frequency control that were not explained by traditional methods - analytical, vector diagrams, substitution schemes, etc. This same technique allowed us to formulate a structural correction of the asynchronous electric drives. In contrast to the previously published research materials of asynchronous electric drives, a detailed qualitative analysis of the obtained nonlinear frequency responses and the interrelation of these characteristics with experimental results is shown for the first time in the article.</span>

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19

Loginova, N., V. Kodkin, and A. Baldenkov. "DIGITAL ADJUSTMENT OF CONTROL ALGORITHMS FOR ASYNCHRONOUS VARIABLE FREQUENCY DRIVES USED IN TRANSPORTS OF CONTINUOUS PRODUCTION LINES." Bulletin of the South Ural State University series "Power Engineering" 21, no. 3 (2021): 102–9. http://dx.doi.org/10.14529/power210312.

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The article presents proposals on how to adjust the dynamics of asynchronous variable frequency drives used in production equipment. Several papers and patents show that dynamic positive feedback (DPF) on the active current of the motor stator yields significant improvement in static speed accuracy and dynamic process quality. However, analog hardware implementation of this adjustment in drives of production machines is both inefficient and cost-ineffective. This article shows how such adjustment could be implemented in industrial controllers originally designed to work with frequency converters (FC) as process parameter controllers. It further shows that this approach opens up broad opportunities to use standard hardware and software in better asynchronous drive control algorithms.

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20

Feng, Jianfeng. "Lyapunov Functions for Neural Nets with Nondifferentiable Input-Output Characteristics." Neural Computation 9, no. 1 (January 1, 1997): 43–49. http://dx.doi.org/10.1162/neco.1997.9.1.43.

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21

Guyeux, Christophe. "Convergence versus Divergence Behaviors of Asynchronous Iterations, and Their Applications in Concrete Situations." Mathematical and Computational Applications 25, no. 4 (October 16, 2020): 69. http://dx.doi.org/10.3390/mca25040069.

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Asynchronous iterations have long been used in distributed computing algorithms to produce calculation methods that are potentially faster than a serial or parallel approach, but whose convergence is more difficult to demonstrate. Conversely, over the past decade, the study of the complex dynamics of asynchronous iterations has been initiated and deepened, as well as their use in computer security and bioinformatics. The first work of these studies focused on chaotic discrete dynamical systems, and links were established between these dynamics on the one hand, and between random or complex behaviours in the sense of the theory of the same name. Computer security applications have focused on pseudo-random number generation, hash functions, hidden information, and various security aspects of wireless sensor networks. At the bioinformatics level, this study of complex systems has allowed an original approach to understanding the evolution of genomes and protein folding. These various contributions are detailed in this review article, which is an extension of the paper “An update on the topological properties of asynchronous iterations” presented during the Sixth International Conference on Parallel, Distributed, GPU and Cloud Computing (Pareng 2019).

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22

Bashkirtseva, Irina A., Alexander N. Pisarchik, and Lev B. Ryashko. "Coexisting Attractors and Multistate Noise-Induced Intermittency in a Cycle Ring of Rulkov Neurons." Mathematics 11, no. 3 (January 23, 2023): 597. http://dx.doi.org/10.3390/math11030597.

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We study dynamics of a unidirectional ring of three Rulkov neurons coupled by chemical synapses. We consider both deterministic and stochastic models. In the deterministic case, the neural dynamics transforms from a stable equilibrium into complex oscillatory regimes (periodic or chaotic) when the coupling strength is increased. The coexistence of complete synchronization, phase synchronization, and partial synchronization is observed. In the partial synchronization state either two neurons are synchronized and the third is in antiphase, or more complex combinations of synchronous and asynchronous interaction occur. In the stochastic model, we observe noise-induced destruction of complete synchronization leading to multistate intermittency between synchronous and asynchronous modes. We show that even small noise can transform the system from the regime of regular complete synchronization into the regime of asynchronous chaotic oscillations.

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23

Gu, Shuaizhen, Ju Chen, and Qiang Tian. "An implicit asynchronous variational integrator for flexible multibody dynamics." Computer Methods in Applied Mechanics and Engineering 401 (November 2022): 115660. http://dx.doi.org/10.1016/j.cma.2022.115660.

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24

Li, Jingwen, and Woodrow L. Shew. "Tuning network dynamics from criticality to an asynchronous state." PLOS Computational Biology 16, no. 9 (September 28, 2020): e1008268. http://dx.doi.org/10.1371/journal.pcbi.1008268.

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25

Riečičiarová, Eva, and Tibor Nánási. "Representation of Asynchronous Motor Dynamics by Generalized Kloss Characteristics." Applied Mechanics and Materials 309 (February 2013): 113–20. http://dx.doi.org/10.4028/www.scientific.net/amm.309.113.

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The paper presents experimental results and mathematical modeling aimed to describe complex machine aggregates working under dynamic conditions. From parameters obtained experimentally the generalized Kloss characteristics is derived for nominal operational speeds of 1,450 min-1, 1,000 min-1 and 750 min-1 under sinusoidal excitation. The steady-state motion is conveniently reinterpreted as an ellipse centered at the working point. Working point is given as the intersection of moment characteristics of the asynchronous motor with the loading characteristics of DC motor with separate excitation. The results of measurements show, that it is necessary to consider the linear dynamic characteristics especially for dynamic response computations near to the resonance.

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26

王, 珊珊. "Dynamics of a Nutrient-Phytoplankton Model with Asynchronous Control." Advances in Applied Mathematics 09, no. 04 (2020): 527–38. http://dx.doi.org/10.12677/aam.2020.94064.

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27

Tournier, Laurent, and Madalena Chaves. "Interconnection of asynchronous Boolean networks, asymptotic and transient dynamics." Automatica 49, no. 4 (April 2013): 884–93. http://dx.doi.org/10.1016/j.automatica.2013.01.015.

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28

Kanter, I. "Synchronous or asynchronous parallel dynamics. Which is more efficient?" Physica D: Nonlinear Phenomena 42, no. 1-3 (June 1990): 273–80. http://dx.doi.org/10.1016/0167-2789(90)90082-z.

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29

Rezaei, Mohammad R., Milos R. Popovic, and Milad Lankarany. "A Time-Varying Information Measure for Tracking Dynamics of Neural Codes in a Neural Ensemble." Entropy 22, no. 8 (August 11, 2020): 880. http://dx.doi.org/10.3390/e22080880.

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The amount of information that differentially correlated spikes in a neural ensemble carry is not the same; the information of different types of spikes is associated with different features of the stimulus. By calculating a neural ensemble’s information in response to a mixed stimulus comprising slow and fast signals, we show that the entropy of synchronous and asynchronous spikes are different, and their probability distributions are distinctively separable. We further show that these spikes carry a different amount of information. We propose a time-varying entropy (TVE) measure to track the dynamics of a neural code in an ensemble of neurons at each time bin. By applying the TVE to a multiplexed code, we show that synchronous and asynchronous spikes carry information in different time scales. Finally, a decoder based on the Kalman filtering approach is developed to reconstruct the stimulus from the spikes. We demonstrate that slow and fast features of the stimulus can be entirely reconstructed when this decoder is applied to asynchronous and synchronous spikes, respectively. The significance of this work is that the TVE can identify different types of information (for example, corresponding to synchronous and asynchronous spikes) that might simultaneously exist in a neural code.

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30

Robin, F., G. Privat, and M. Renaudin. "Asynchronous Relaxation of Morphological Operators: A Joint Algorithm-Architecture Perspective." International Journal of Pattern Recognition and Artificial Intelligence 11, no. 07 (November 1997): 1085–94. http://dx.doi.org/10.1142/s0218001497000494.

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Asynchronous dynamics are introduced for the iterative computation of morphological image filters. We propose a fine-grain asynchronous algorithmic- architectural model that exploits these new possibilities to improve the convergence efficiency of such operators over standard sequential-recursive or parallel-synchronous update modes. We conclude with VLSI design perspectives and show how asynchronism can be exploited both at functional and architectural levels.

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31

Khastsaev, Boris D., and Dmitry V. Merkushev. "Application of impedance method for research the dynamics of asynchronous motors." MATEC Web of Conferences 226 (2018): 04013. http://dx.doi.org/10.1051/matecconf/201822604013.

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One of the possible fields of application of the impedance method based on the use of impedance and its components as an informative parameter is considered. This area of work is the study and diagnosis of asynchronous motors in dynamic mode. The paper presents both a T – shaped scheme of replacement of an asynchronous motor and one of its possible mathematical models, on the basis of which conclusions were made about the feasibility of applying the impedance method for the study and diagnosis of asynchronous motors and the need to develop hardware for this method. In this regard, the main part of the work is devoted to the consideration of measuring transducers necessary for both the technical implementation of the method as a whole, and the instrument support of the method. The option to build transmitters that use the basis four-armmeasuring bridge circuit known as a Wheatstone bridge. The first сonverter is easier to implement because it is implemented on the basis of the Whitstonbridge with one feedback, but is characterized by less functionality. The second converter is implemented more difficult, as it is also implemented on the basis of the Whitstonbridge, but with two feedbacks. However, this version of the converter has more functionality.

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32

Skiba, Rafal M., and Patrik Vuilleumier. "Brain Networks Processing Temporal Information in Dynamic Facial Expressions." Cerebral Cortex 30, no. 11 (June 25, 2020): 6021–38. http://dx.doi.org/10.1093/cercor/bhaa176.

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Abstract This fMRI study examines the role of local and global motion information in facial movements during exposure to novel dynamic face stimuli. We found that synchronous expressions distinctively engaged medial prefrontal areas in the rostral and caudal sectors of anterior cingulate cortex (r/cACC) extending to inferior supplementary motor areas, as well as motor cortex and bilateral superior frontal gyrus (global temporal-spatial processing). Asynchronous expressions in which one part of the face unfolded before the other activated more the right superior temporal sulcus (STS) and inferior frontal gyrus (local temporal-spatial processing). These differences in temporal dynamics had no effect on visual face-responsive areas. Dynamic causal modeling analysis further showed that processing of asynchronous expression features was associated with a differential information flow, centered on STS, which received direct input from occipital cortex and projected to the amygdala. Moreover, STS and amygdala displayed selective interactions with cACC where the integration of both local and global motion cues could take place. These results provide new evidence for a role of local and global temporal dynamics in emotional expressions, extracted in partly separate brain pathways. Importantly, we show that dynamic expressions with synchronous movement cues may distinctively engage brain areas responsible for motor execution of expressions.

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33

Baldenkov, A. A., V. L. Kodkin, and A. S. Anikin. "Assessment of dynamics of asynchronous drive by nonlinear transfer function. Correction of nonlinearity of asynchronous electric drive." Omsk Scientific Bulletin, no. 167 (2019): 51–57. http://dx.doi.org/10.25206/1813-8225-2019-167-51-57.

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34

Kodkin, Vladimir, and Alexander Anikin. "Experimental Studies of Nonlinear Dynamics of Asynchronous Electric Drives with Variable Load." Processes 10, no. 6 (May 26, 2022): 1068. http://dx.doi.org/10.3390/pr10061068.

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This article presents the results of the analysis of experimental data that were obtained during industrial tests of an adjustable asynchronous traction electric drive of a shuttle car for the mining industry. During these tests, by changing the parameters of the stator voltage, the stator currents of the induction motor were optimized when the load changes over a wide range (from −1.5 Tn to + 1.5 Tn). The authors managed to significantly reduce the effective values of the stator currents of the motor, but at the same time it was found that, with the load and even the rate of its change, oscillations of the effective values of currents with variable amplitude and frequency occur. It turned out to be very difficult to explain these oscillations and the variability of their parameters using traditional mathematical methods for describing processes in asynchronous electric motors. Vector equations and diagrams are valid only at constant frequencies of the stator voltage and, in the modes of their significant changes, which exist during self-oscillations of the effective values of the motor stator current, their error is very large. To analyze the conditions of the self-oscillations, it was proposed to use nonlinear continuous transfer functions that describe the formation of torque in induction motors. The article shows how such transfer functions make it possible to take into account the influence of the load torque and the speed of its change on the parameters of the self-oscillations of the effective values of the stator current of asynchronous electric drives experiencing such loads. The article proposes a qualitative analysis of the results of experiments carried out on real tracks of the movement of the shuttle car. The analysis of experimental data confirmed the effectiveness of using nonlinear transfer functions to evaluate the dynamics of asynchronous electric drives and the sufficient accuracy of the proposed method. In the course of research, it is shown how the conditions of the boundary stability of the drive depend on external loads that change the nonlinear transfer function of the induction motor. As a result, it was found that the condition of boundary stability and the parameters of the self-oscillations are affected not only by the magnitude, but also by the rate of load change. The article made assumptions about possible options for the effective correction of asynchronous electric drives experiencing variable loads.

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35

Bandman, O. L. "FUNCTIONING MODES OF ASYNCHRONOUS CELLULAR AUTOMATA SIMULATING NONLINEAR SPATIAL DYNAMICS." PRIKLADNAYa DISKRETNAYa MATEMATIKA, no. 27(1) (March 1, 2015): 105–19. http://dx.doi.org/10.17223/20710410/27/12.

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36

Kuhn, Arianna, Marcelo Gehara, Mamy S. M. Andrianarimalala, Nirhy Rabibisoa, Bernard Randriamahatantsoa, Isaac Overcast, Christopher J. Raxworthy, Sara Ruane, and Frank T. Burbrink. "Drivers of unique and asynchronous population dynamics in Malagasy herpetofauna." Journal of Biogeography 49, no. 4 (March 11, 2022): 600–616. http://dx.doi.org/10.1111/jbi.14315.

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37

Rossi, Wilbert Samuel, and Paolo Frasca. "Opinion Dynamics With Topological Gossiping: Asynchronous Updates Under Limited Attention." IEEE Control Systems Letters 4, no. 3 (July 2020): 566–71. http://dx.doi.org/10.1109/lcsys.2020.2974822.

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38

Nag, Mayurakshi, and Swarup Poria. "Complex dynamics of coupled map lattices under random asynchronous updating." Physica Scripta 95, no. 4 (February 18, 2020): 045218. http://dx.doi.org/10.1088/1402-4896/ab68ff.

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39

Rosenblum, Michael, and Arkady Pikovsky. "Efficient determination of synchronization domains from observations of asynchronous dynamics." Chaos: An Interdisciplinary Journal of Nonlinear Science 28, no. 10 (October 2018): 106301. http://dx.doi.org/10.1063/1.5037012.

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40

Aguilar, Emerico, and Yasumasa Fujisaki. "Opinion Dynamics via a Gossip Algorithm with Asynchronous Group Interactions." Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications 2019 (July 31, 2019): 99–102. http://dx.doi.org/10.5687/sss.2019.99.

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41

Luo, Chao, and Xingyuan Wang. "Algebraic Representation of Asynchronous Multiple-Valued Networks and Its Dynamics." IEEE/ACM Transactions on Computational Biology and Bioinformatics 10, no. 4 (July 2013): 927–38. http://dx.doi.org/10.1109/tcbb.2013.112.

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42

Urie, Kristopher G., David Angulo, Jennifer C. Lee, John J. Kozak, Harry B. Gray, and Jay R. Winkler. "Synchronous vs Asynchronous Chain Motion in α-Synuclein Contact Dynamics." Journal of Physical Chemistry B 113, no. 2 (January 15, 2009): 522–30. http://dx.doi.org/10.1021/jp806727e.

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43

Tournier, L., and M. Chaves. "Uncovering operational interactions in genetic networks using asynchronous Boolean dynamics." Journal of Theoretical Biology 260, no. 2 (September 2009): 196–209. http://dx.doi.org/10.1016/j.jtbi.2009.06.006.

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44

Takekawa, Takashi, Toshio Aoyagi, and Tomoki Fukai. "Synchronous and asynchronous bursting states: role of intrinsic neural dynamics." Journal of Computational Neuroscience 23, no. 2 (March 27, 2007): 189–200. http://dx.doi.org/10.1007/s10827-007-0027-9.

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45

Erlinge, Sam, Kjell Danell, Peter Frodin, Dennis Hasselquist, Eva-Britt Olofsson, Mikael Svensson, and Patric Nilsson. "Asynchronous population dynamics of Siberian lemmings across the Palaearctic tundra." Oecologia 119, no. 4 (June 16, 1999): 493–500. http://dx.doi.org/10.1007/s004420050812.

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46

Aristoff, David. "Generalizing Parallel Replica Dynamics: Trajectory Fragments, Asynchronous Computing, and PDMPs." SIAM/ASA Journal on Uncertainty Quantification 7, no. 2 (January 2019): 685–719. http://dx.doi.org/10.1137/18m1177792.

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Demoures, Francois, Francois Gay-Balmaz, Thomas Leitz, Sigrid Leyendecker, Sina Ober-Blöbaum, and Tudor S. Ratiu. "Asynchronous variational Lie group integration for geometrically exact beam dynamics." PAMM 13, no. 1 (November 29, 2013): 45–46. http://dx.doi.org/10.1002/pamm.201310018.

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48

Yuan, Shuai, Huiling Hong, Gang Wang, Wenying Zhang, Weifeng Wu, Yusheng Dou, and Glenn V. Lo. "Effect of Initial Orientation on the Laser-Induced Cycloaddition Reaction of Benzene and Ethylene." International Journal of Photoenergy 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/850641.

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The [2 + 2] photocycloaddition reaction of benzene and ethylene was investigated by semiclassical dynamics simulation and complete active space self-consistent field (CASSCF)ab initiocalculations. Following laser excitation of the benzene molecule, two mechanisms were observed depending on the location of the second C of ethylene in relation to the hexagonal prism space defined by the first C and the plane of the benzene ring. Synchronous formation of two bonds was observed when the second C is outside the prism space; an asynchronous mechanism is observed otherwise. Charge transfer was observed only in the asynchronous mechanism; CASSCF calculations suggest that the asynchronous mechanism involves a barrierless path from the Frank-Condon point to a conical intersection, while the synchronous mechanism involves 0.8 eV barrier. These results are consistent with a higher quantum yield observed in the simulations for the asynchronous pathway.

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49

Malev, N. A., and O. V. Pogoditsky. "STATISTICAL ANALYSIS OF DYNAMIC CHARACTERISTICS ASYNCHRONOUS ELECTRIC MOTOR WITH CHANGING LOAD PARAMETERS." Proceedings of the higher educational institutions. ENERGY SECTOR PROBLEMS 21, no. 1-2 (April 11, 2019): 120–30. http://dx.doi.org/10.30724/1998-9903-2019-21-1-2-120-130.

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Abstract: Research of operation electrical machines in transitional mode is an actual task. Modeling dynamic processes with changing load parameters and probabilistic assessment of simulation results allows taking into account the degree of influence of these changes on transient response. An approach to the study of the dynamics of an asynchronous electrical motor under external and parametric perturbations shown. Recommendations was given on the use of this method in solving the problem of identifying the parameters of electric machines.

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García-Carreras, Bernardo, Bingyi Yang, Mary K. Grabowski, Lawrence W. Sheppard, Angkana T. Huang, Henrik Salje, Hannah Eleanor Clapham, et al. "Periodic synchronisation of dengue epidemics in Thailand over the last 5 decades driven by temperature and immunity." PLOS Biology 20, no. 3 (March 18, 2022): e3001160. http://dx.doi.org/10.1371/journal.pbio.3001160.

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The spatial distribution of dengue and its vectors (spp. Aedes) may be the widest it has ever been, and projections suggest that climate change may allow the expansion to continue. However, less work has been done to understand how climate variability and change affects dengue in regions where the pathogen is already endemic. In these areas, the waxing and waning of immunity has a large impact on temporal dynamics of cases of dengue haemorrhagic fever. Here, we use 51 years of data across 72 provinces and characterise spatiotemporal patterns of dengue in Thailand, where dengue has caused almost 1.5 million cases over the last 30 years, and examine the roles played by temperature and dynamics of immunity in giving rise to those patterns. We find that timescales of multiannual oscillations in dengue vary in space and time and uncover an interesting spatial phenomenon: Thailand has experienced multiple, periodic synchronisation events. We show that although patterns in synchrony of dengue are similar to those observed in temperature, the relationship between the two is most consistent during synchronous periods, while during asynchronous periods, temperature plays a less prominent role. With simulations from temperature-driven models, we explore how dynamics of immunity interact with temperature to produce the observed patterns in synchrony. The simulations produced patterns in synchrony that were similar to observations, supporting an important role of immunity. We demonstrate that multiannual oscillations produced by immunity can lead to asynchronous dynamics and that synchrony in temperature can then synchronise these dengue dynamics. At higher mean temperatures, immune dynamics can be more predominant, and dengue dynamics more insensitive to multiannual fluctuations in temperature, suggesting that with rising mean temperatures, dengue dynamics may become increasingly asynchronous. These findings can help underpin predictions of disease patterns as global temperatures rise.

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