688 research outputs found
Combining a Toggle Switch and a Repressilator within the AC-DC Circuit Generates Distinct Dynamical Behaviors.
Although the structure of a genetically encoded regulatory circuit is an important determinant of its function, the relationship between circuit topology and the dynamical behaviors it can exhibit is not well understood. Here, we explore the range of behaviors available to the AC-DC circuit. This circuit consists of three genes connected as a combination of a toggle switch and a repressilator. Using dynamical systems theory, we show that the AC-DC circuit exhibits both oscillations and bistability within the same region of parameter space; this generates emergent behaviors not available to either the toggle switch or the repressilator alone. The AC-DC circuit can switch on oscillations via two distinct mechanisms, one of which induces coherence into ensembles of oscillators. In addition, we show that in the presence of noise, the AC-DC circuit can behave as an excitable system capable of spatial signal propagation or coherence resonance. Together, these results demonstrate how combinations of simple motifs can exhibit multiple complex behaviors
Geometric Suppression of Single-Particle Energy Spacings in Quantum Antidots
Quantum Antidot (AD) structures have remarkable properties in the integer
quantum Hall regime, exhibiting Coulomb-blockade charging and the Kondo effect
despite their open geometry. In some regimes a simple single-particle (SP)
model suffices to describe experimental observations while in others
interaction effects are clearly important, although exactly how and why
interactions emerge is unclear. We present a combination of experimental data
and the results of new calculations concerning SP orbital states which show how
the observed suppression of the energy spacing between states can be explained
through a full consideration of the AD potential, without requiring any effects
due to electron interactions such as the formation of compressible regions
composed of multiple states, which may occur at higher magnetic fields. A full
understanding of the regimes in which these effects occur is important for the
design of devices to coherently manipulate electrons in edge states using AD
resonances.Comment: 4 pages, 2 figure
Two charged strangeonium-like structures observable in the process
Via the Initial Single Pion Emission (ISPE) mechanism, we study the
invariant mass spectrum distribution of . Our calculation indicates there exist a sharp peak
structure () close to the threshold and a broad
structure () near the threshold. In addition, we
also investigate the process due to
the ISPE mechanism, where a sharp peak around the threshold
appears in the invariant mass spectrum distribution. We
suggest to carry out the search for these charged strangeonium-like structures
in future experiment, especially Belle II, Super-B and BESIII.Comment: 7 pages, 5 figures. Accepted by Eur. Phys. J.
Evidence for the fourth P11 resonance predicted by the constituent quark model
It is pointed out that the third of five low-lying P11 states predicted by a
constituent quark model can be identified with the third of four states in a
solution from a three-channel analysis by the Zagreb group. This is one of the
so-called ``missing'' resonances, predicted at 1880 MeV. The fit of the Zagreb
group to the pi N -> eta N data is the crucial element in finding this fourth
resonance in the P11 partial wave.Comment: 8 pages, revtex; expanded acknowledgement
Effects of electrical stimulation of dorsal raphe nucleus on neuronal response properties of barrel cortex layer IV neurons following long-term sensory deprivation
Abstract: Objective To evaluate the effect of electrical stimulation of dorsal raphe nucleus (DRN) on response properties of layer IV barrel cortex neurons following long-term sensory deprivation. Methods: Male Wistar rats were divided into sensory-deprived (SD) and control (unplucked) groups. In SD group, all vibrissae except the D2 vibrissa were plucked on postnatal day one, and kept plucked for a period of 60 d. After that, whisker regrowth was allowed for 8-10 d. The D2 principal whisker (PW) and the D1 adjacent whisker (AW) were either deflected singly or both deflected in a serial order that the AW was deflected 20 ms before PW deflection for assessing lateral inhibition, and neuronal responses were recorded from layer IV of the D2 barrel cortex. DRN was electrically stimulated at inter-stimulus intervals (ISIs) ranging from 0 to 800 ms before whisker deflection. Results: PW-evoked responses increased in the SD group with DRN electrical stimulation at ISIs of 50 ms and 100 ms, whereas AW-evoked responses increased at ISI of 800 ms in both groups. Whisker plucking before DRN stimulation could enhance the responsiveness of barrel cortex neurons to PW deflection and decrease the responsiveness to AW deflection. DRN electrical stimulation significantly reduced this difference only in PW-evoked responses between groups. Besides, no DRN stimulation-related changes in response latency were observed following PW or AW deflection in either group. Moreover, condition test (CT) ratio increased in SD rats, while DRN stimulation did not affect the CT ratio in either group. There was no obvious change in 5-HT2A receptor protein density in barrel cortex between SD and control groups. Conclusion: These results suggest that DRN electrical stimulation can modulate information processing in the SD barrel cortex
Analysis of the radiative decays among the charmonium states
In this article, we study the radiative decays among the charmonium states
with the heavy quark effective theory, and make predictions for the ratios
among the radiative decay widths of an special multiplet to another multiplet.
The predictions can be confronted with the experimental data in the future and
put additional constraints in identifying the , , charmonium-like
mesons.Comment: 12 pages, revised revisio
Accretion among preplanetary bodies: the many faces of runaway growth
(abridged) When preplanetary bodies reach proportions of ~1 km or larger in
size, their accretion rate is enhanced due to gravitational focusing (GF). We
have developed a new numerical model to calculate the collisional evolution of
the gravitationally-enhanced growth stage. We validate our approach against
existing N-body and statistical codes. Using the numerical model, we explore
the characteristics of the runaway growth and the oligarchic growth accretion
phases starting from an initial population of single planetesimal radius R_0.
In models where the initial random velocity dispersion (as derived from their
eccentricity) starts out below the escape speed of the planetesimal bodies, the
system experiences runaway growth. We find that during the runaway growth phase
the size distribution remains continuous but evolves into a power-law at the
high mass end, consistent with previous studies. Furthermore, we find that the
largest body accretes from all mass bins; a simple two component approximation
is inapplicable during this stage. However, with growth the runaway body stirs
up the random motions of the planetesimal population from which it is
accreting. Ultimately, this feedback stops the fast growth and the system
passes into oligarchy, where competitor bodies from neighboring zones catch up
in terms of mass. Compared to previous estimates, we find that the system
leaves the runaway growth phase at a somewhat larger radius. Furthermore, we
assess the relevance of small, single-size fragments on the growth process. In
classical models, where the initial velocity dispersion of bodies is small,
these do not play a critical role during the runaway growth; however, in models
that are characterized by large initial relative velocities due to external
stirring of their random motions, a situation can emerge where fragments
dominate the accretion.Comment: Accepted for publication in Icaru
Magnetic and thermal properties of 4f-3d ladder-type molecular compounds
We report on the low-temperature magnetic susceptibilities and specific heats
of the isostructural spin-ladder molecular complexes L[M(opba)]_{3\cdot
xDMSOHO, hereafter abbreviated with LM (where L =
La, Gd, Tb, Dy, Ho and M = Cu, Zn). The results show that the Cu containing
complexes (with the exception of LaCu) undergo long range magnetic
order at temperatures below 2 K, and that for GdCu this ordering is
ferromagnetic, whereas for TbCu and DyCu it is probably
antiferromagnetic. The susceptibilities and specific heats of TbCu
and DyCu above have been explained by means of a model
taking into account nearest as well as next-nearest neighbor magnetic
interactions. We show that the intraladder L--Cu interaction is the predominant
one and that it is ferromagnetic for L = Gd, Tb and Dy. For the cases of Tb, Dy
and Ho containing complexes, strong crystal field effects on the magnetic and
thermal properties have to be taken into account. The magnetic coupling between
the (ferromagnetic) ladders is found to be very weak and is probably of dipolar
origin.Comment: 13 pages, 15 figures, submitted to Phys. Rev.
Parity nonconserving cold neutron-parahydrogen interactions
Three pion dominated observables of the parity nonconserving interactions
between the cold neutrons and parahydrogen are calculated. The transversely
polarized neutron spin rotation, unpolarized neutron longitudinal polarization,
and photon-asymmetry of the radiative polarized neutron capture are considered.
For the numerical evaluation of the observables, the strong interactions are
taken into account by the Reid93 potential and the parity nonconserving
interactions by the DDH model along with the two-pion exchange.Comment: 17 pages, 2 figure
Learning and Designing Stochastic Processes from Logical Constraints
Continuous time Markov Chains (CTMCs) are a convenient mathematical model for a broad range of natural and computer systems. As a result, they have received considerable attention in the theoretical computer science community, with many important techniques such as model checking being now mainstream. However, most methodologies start with an assumption of complete specification of the CTMC, in terms of both initial conditions and parameters. While this may be plausible in some cases (e.g. small scale engineered systems) it is certainly not valid nor desirable in many cases (e.g. biological systems), and it does not lead to a constructive approach to rational design of systems based on specific requirements. Here we consider the problems of learning and designing CTMCs from observations/ requirements formulated in terms of satisfaction of temporal logic formulae. We recast the problem in terms of learning and maximising an unknown function (the likelihood of the parameters) which can be numerically estimated at any value of the parameter space (at a non-negligible computational cost). We adapt a recently proposed, provably convergent global optimisation algorithm developed in the machine learning community, and demonstrate its efficacy on a number of non-trivial test cases
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