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Spatial patterns

Figure A3.14.12. The first experimental observation of a Turing pattern in a gel strip reactor. Solutions containing separate components of the CIMA/CDIMA reaction are flowed along each edge of the strip and a spatial pattern along the horizontal axis develops for a range of experimental conditions. (Reprinted with pennission from [38], The American Physical Society.)... Figure A3.14.12. The first experimental observation of a Turing pattern in a gel strip reactor. Solutions containing separate components of the CIMA/CDIMA reaction are flowed along each edge of the strip and a spatial pattern along the horizontal axis develops for a range of experimental conditions. (Reprinted with pennission from [38], The American Physical Society.)...
Figure C3.6.10 Defect-mediated turbulence in tire complex Ginzburg-Landau equation, (a) The phase, arg( ), as grey shades, (b) The amplitude [A], witli a similar color coding. In tire left panel topological defects can be identified as points around which one finds all shades of grey. Note tire apparently random spatial pattern of amplitudes. Figure C3.6.10 Defect-mediated turbulence in tire complex Ginzburg-Landau equation, (a) The phase, arg( ), as grey shades, (b) The amplitude [A], witli a similar color coding. In tire left panel topological defects can be identified as points around which one finds all shades of grey. Note tire apparently random spatial pattern of amplitudes.
Future development of SAM-based analytical technology requires expansion of the size and shape selectivity of template stmctures, as well as introduction of advanced chemical and optical gating mechanisms. An important contribution of SAMs is in miniaturization of analytical instmmentation. This use may in turn have considerable importance in the biomedical analytical area, where miniature analytical probes will be introduced into the body and target-specific organs or even cell clusters. Advances in high resolution spatial patterning of SAMs open the way for such technologies (268,352). [Pg.545]

Solid cone (see Fig. 14-87/ ). Similar to hollow cone hut with insert to provide even distribution. More uniform spatial pattern than hollow cone. Coarser drops for comparable flows and pressure drops. Failure to yield... [Pg.1410]

Effective Measure Complexity A convenient measure of the complexity of a given site-value sequence (as opposed to simple measures of information content), is provided by the so-called effective measure complexity, T, first used by Grassberger [grass86c] for isolating certain very long range correlations appearing in the spatial pattern of elementary rule R22 (see section 3.1.4.1). [Pg.219]

In this section we introduce several CA models of prototypical reaction-diffusion systems. Such systems, the first formal studies of which date back to Turing , often exhibit a variety of interesting spatial patterns that evolve in a self-organized fashion. [Pg.419]

Citing a number of earlier - and, in their opinion, unnecessarily complicated -research efforts to duplicate the characteristic spatial patterns of BZ-like reactions, Greenberg and Hastings wanted to construct a model that reproduced such patterns in the simplest possible manner, doing away with the need for extensive computation as the only means by which the desired results can be obtained. Previous studies. [Pg.420]

As an example, consider a system of size 20 x 20, and take N = 100, px = 2 and Pj = 3. What happens if we vary the parameter u between the value 1 and, say, 20 Gerhardt and Schuster found that when this system evolves from a random initial state (using the Moore neighborhood for updates), some combination of four basic behavioral types emerges [gerh89]. Behavioral types - which appear to depend most strongly on the value of the parameter u - are characterized by both the manner in which the fraction of sites that are infected (= / ) varies as a function of time and the kind of transition-wave spatial patterns that develop ... [Pg.424]

There is another type of bifurcation called Turing bifurcation, which results in a spatial pattern rather than oscillation. A typical example where a new spatial structure emerges from a spatially unique situation is Benard s convection cells. These have been well examined and are formed with increasing heat conduction.53 Prigogine called this type of structure a dissipative structure.54-56... [Pg.248]

Krischer, K. Principles of Temporal and Spatial Pattern Formation in Electrochemical Systems 32... [Pg.605]

Action potentials, self-propagating. Action potentials of smooth muscle differ from the typical nerve action potential in at least three ways. First, the depolarization phases of nearly all smooth muscle action potentials are due to an increase in calcium rather than sodium conductance. Consequently, the rates of rise of smooth action potentials are slow, and the durations are long relative to most neural action potentials. Second, smooth muscle action potentials arise from membrane that is autonomously active and tonically modulated by autonomic neurotransmitters. Therefore, conduction velocities and action potential shapes are labile. Finally, smooth muscle action potentials spread along bundles of myocytes which are interconnected in three dimensions. Therefore the actual spatial patterns of spreading of the action potential vary. [Pg.193]

Bambic DG, Alpers CN, Green PG, Fanellid E, Silo WK (2006) Seasonal and spatial patterns of metals at a restored copper mine site. I. Stream copper and zinc. Environ Poll 144 774... [Pg.52]

This reaction can oscillate in a well-mixed system. In a quiescent system, diffusion-limited spatial patterns can develop, but these violate the assumption of perfect mixing that is made in this chapter. A well-known chemical oscillator that also develops complex spatial patterns is the Belousov-Zhabotinsky or BZ reaction. Flame fronts and detonations are other batch reactions that violate the assumption of perfect mixing. Their analysis requires treatment of mass or thermal diffusion or the propagation of shock waves. Such reactions are briefly touched upon in Chapter 11 but, by and large, are beyond the scope of this book. [Pg.58]

Thermally driven convective instabilities in fluid flow, and, more specifically, Rayleigh-B6nard instabilities are favorite working examples in the area of low-dimensional dynamics of distributed systems (see (14 and references therein). By appropriately choosing the cell dimensions (aspect ratio) we can either drive the system to temporal chaos while keeping it spatially coherent, or, alternatively, produce complex spatial patterns. [Pg.289]

Asare E, Dunn G, Glass J, McArthur J, Luthert P, Lantos P, EveraU I (1996) Neuronal pattern correlates with the severity of human immunodeficiency virus-associated dementia complex. Usefulness of spatial pattern analysis in clinicopathological studies. Am J Pathol 148(l) 31-38... [Pg.21]

Belouzov-Zhabotinsky reaction [12, 13] This chemical reaction is a classical example of non-equilibrium thermodynamics, forming a nonlinear chemical oscillator [14]. Redox-active metal ions with more than one stable oxidation state (e.g., cerium, ruthenium) are reduced by an organic acid (e.g., malonic acid) and re-oxidized by bromate forming temporal or spatial patterns of metal ion concentration in either oxidation state. This is a self-organized structure, because the reaction is not dominated by equilibrium thermodynamic behavior. The reaction is far from equilibrium and remains so for a significant length of time. Finally,... [Pg.188]


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See also in sourсe #XX -- [ Pg.6 , Pg.8 , Pg.9 , Pg.11 , Pg.37 , Pg.39 , Pg.250 , Pg.285 , Pg.298 ]




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