76,027 research outputs found
On a dynamic reaction-diffusion mechanism: The spatial patterning of teeth primordia in the alligator
It is now well established both theoretically and, more recently, experimentally, that steady-state spatial chemical concentration patterns can be formed by a number of specific reaction–diffusion systems. Reaction–diffusion models have been widely applied to biological pattern formation problems. Here we propose a model mechanism for the initiation and spatial positioning of teeth primordia in the alligator, Alligator mississippiensis, which, from a reaction–diffusion theory, introduces, among other things, a new element, namely the effect of domain growth on dynamic spatial pattern formation. Detailed embryological studies by Westergaard and Ferguson (B. Westergaard and M. W. J. Ferguson, J. Zool. Lond., 1986, 210, 575; 1987, 212, 191; Am. J. Anatomy, 1990, 187, 393) show that jaw growth plays a crucial role in the developmental patterning of the tooth initiation process. Based on biological data we develop a reaction–diffusion mechanism, which crucially includes domain growth. The model can reproduce the spatial pattern development of the first seven teeth primordia in the lower half jaw of A. mississippiensis. The results for the precise spatio temporal sequence compare well with detailed developmental experiments
A Neo-Institutional Assessment of Cooperative Evolution: Comparing the Australian Wheat Board and the Fonterra Dairy Group
Agribusiness,
Network formation of tissue cells via preferential attraction to elongated structures
Vascular and non-vascular cells often form an interconnected network in
vitro, similar to the early vascular bed of warm blooded embryos. Our
time-lapse recordings show that the network forms by extending sprouts, i.e.,
multicellular linear segments. To explain the emergence of such structures, we
propose a simple model of preferential attraction to stretched cells. Numerical
simulations reveal that the model evolves into a quasi-stationary pattern
containing linear segments, which interconnect above the critical volume
fraction of 0.2. In the quasi-stationary state the generation of new branches
offset the coarsening driven by surface tension. In agreement with empirical
data, the characteristic size of the resulting polygonal pattern is
density-independent within a wide range of volume fractions
Synthetic Chemotaxis and Collective Behavior in Active Matter
Conspectus: The ability to navigate in chemical gradients, called chemotaxis,
is crucial for the survival of microorganisms. It allows them to find food and
to escape from toxins. Many microorganisms can produce the chemicals to which
they respond themselves and use chemotaxis for signalling which can be seen as
a basic form of communication. Remarkably, the past decade has let to the
development of synthetic microswimmers like e.g. autophoretic Janus colloids,
which can self-propel through a solvent, analogously to bacteria and other
microorganims. The mechanism underlying their self-propulsion involves the
production of certain chemicals. The same chemicals involved in the
self-propulsion mechanism also act on other microswimmers and bias their
swimming direction towards (or away from) the producing microswimmer. Synthetic
microswimmers therefore provide a synthetic analogue to chemotactic motile
microorganisms. When these interactions are attractive, they commonly lead to
clusters, even at low particle density. These clusters may either proceed
towards macrophase separation, resembling Dictyostelium aggregation, or, as
shown very recently, lead to dynamic clusters of self-limited size (dynamic
clustering) as seen in experiments in autophoretic Janus colloids. Besides the
classical case where chemical interactions are attractive, this Account
discusses, as its main focus, repulsive chemical interactions, which can create
a new and less known avenue to pattern formation in active systems leading to a
variety of pattern, including clusters which are surrounded by shells of
chemicals, travelling waves and more complex continously reshaping patterns. In
all these cases `synthetic signalling' can crucially determine the collective
behavior of synthetic microswimmer ensembles and can be used as a design
principle to create patterns in motile active particles
Relativistic Resonant Relations between Massive Black Hole Binary and Extreme Mass Ratio Inspiral
One component of a massive black hole binary (MBHB) might capture a small
third body, and then a hierarchical, inclined triple system would be formed.
With the post-Newtonian approximation including radiation reaction, we analyzed
the evolution of the triple initially with small eccentricities. We found that
an essentially new resonant relation could arise in the triple system. Here
relativistic effects are crucial. Relativistic resonances, including the new
one, stably work even for an outer MBHB of comparable masses, and significantly
change the orbit of the inner small body.Comment: 9 pages, 5 figures, to appear in PR
The effects of tidally induced disc structure on white dwarf accretion in intermediate polars
We investigate the effects of tidally induced asymmetric disc structure on
accretion onto the white dwarf in intermediate polars. Using numerical
simulation, we show that it is possible for tidally induced spiral waves to
propagate sufficiently far into the disc of an intermediate polar that
accretion onto the central white dwarf could be modulated as a result. We
suggest that accretion from the resulting asymmetric inner disc may contribute
to the observed X-ray and optical periodicities in the light curves of these
systems. In contrast to the stream-fed accretion model for these periodicities,
the tidal picture predicts that modulation can exist even for systems with
weaker magnetic fields where the magnetospheric radius is smaller than the
radius of periastron of the mass transfer stream. We also predict that
additional periodic components should exist in the emission from low mass ratio
intermediate polars displaying superhumps.Comment: 9 pages, 5 figures, accepted for publication in MNRA
Analysis of a Model Biological Switch
A model mechanism proposed by Murray [Phil. Traps. Roy. Soc. London B, 295 (1981), pp. 473–496] for generating wing patterns and eyespots on butterflies and moths is based on a morphogen (S) activated biological switch for a gene product (g). We analyse one of the resulting partial differential equation systems, namely S_t = DΔS - kS, g_t = k_tS + αg (g-k_2) (g_c-g ), where D,k,k_1 ,k_2 ,g_c > k_2 and α are positive constants. We determine analytically the size of the spatial domain where g → g_c as t → ∞ after an influx of S at the origin. This gives the size of the eyespot in terms of the mechanism parameters. The analytical problem is a nontrivial singular perturbation expansion which we discuss in detail
Median-Unbiased Estimation in DF-GLS Regressions and the PPP Puzzle
Using median-unbiased estimation based on Augmented-Dickey-Fuller (ADF) regressions, recent research has questioned the validity of Rogoff's "remarkable consensus" of 3-5 year half-lives of deviations from PPP. The confidence intervals of these half-life estimates, however, are extremely wide, with lower bounds of about one year and upper bounds of infinity. We extend median-unbiased estimation to the DF-GLS regression of Elliott, Rothenberg, and Stock (1996). We find that combining median-unbiased estimation with this regression has the potential to tighten confidence intervals for the half-lives. Using long horizon real exchange rate data, we find that the typical lower bound of the confidence intervals for median-unbiased half-lives is just under 3 years. Thus, while previous confidence intervals for median-unbiased half-lives are consistent with virtually anything, our tighter confidence intervals are inconsistent with economic models with nominal rigidities as candidates for explaining the observed behavior of real exchange rates and move us away from solving the PPP puzzle.PPP puzzle, median-unbiased, persistence.
- …
