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Bombardier Enables Delivery of Short-Form Bomanins in the Drosophila Toll Response.
Toll mediates a robust and effective innate immune response across vertebrates and invertebrates. In Drosophila melanogaster, activation of Toll by systemic infection drives the accumulation of a rich repertoire of immune effectors in hemolymph, including the recently characterized Bomanins, as well as the classical antimicrobial peptides (AMPs). Here we report the functional characterization of a Toll-induced hemolymph protein encoded by the bombardier (CG18067) gene. Using the CRISPR/Cas9 system to generate a precise deletion of the bombardier transcriptional unit, we found that Bombardier is required for Toll-mediated defense against fungi and Gram-positive bacteria. Assaying cell-free hemolymph, we found that the Bomanin-dependent candidacidal activity is also dependent on Bombardier, but is independent of the antifungal AMPs Drosomycin and Metchnikowin. Using mass spectrometry, we demonstrated that deletion of bombardier results in the specific absence of short-form Bomanins from hemolymph. In addition, flies lacking Bombardier exhibited a defect in pathogen tolerance that we trace to an aberrant condition triggered by Toll activation. These results lead us to a model in which the presence of Bombardier in wild-type flies enables the proper folding, secretion, or intermolecular associations of short-form Bomanins, and the absence of Bombardier disrupts one or more of these steps, resulting in defects in both immune resistance and tolerance
Centrality Measures in Spatial Networks of Urban Streets
We study centrality in urban street patterns of different world cities
represented as networks in geographical space. The results indicate that a
spatial analysis based on a set of four centrality indices allows an extended
visualization and characterization of the city structure. Planned and
self-organized cities clearly belong to two different universality classes. In
particular, self-organized cities exhibit scale-free properties similar to
those found in the degree distributions of non-spatial networks.Comment: 4 pages, 3 figure
Negative differential Rashba effect in two-dimensional hole systems
We demonstrate experimentally and theoretically that two-dimensional (2D)
heavy hole systems in single heterostructures exhibit a \emph{decrease} in
spin-orbit interaction-induced spin splitting with an increase in perpendicular
electric field. Using front and back gates, we measure the spin splitting as a
function of applied electric field while keeping the density constant. Our
results are in contrast to the more familiar case of 2D electrons where spin
splitting increases with electric field.Comment: 3 pages, 3 figures. To appear in AP
Relaxation dynamics of maximally clustered networks
We study the relaxation dynamics of fully clustered networks (maximal number
of triangles) to an unclustered state under two different edge dynamics---the
double-edge swap, corresponding to degree-preserving randomization of the
configuration model, and single edge replacement, corresponding to full
randomization of the Erd\H{o}s--R\'enyi random graph. We derive expressions for
the time evolution of the degree distribution, edge multiplicity distribution
and clustering coefficient. We show that under both dynamics networks undergo a
continuous phase transition in which a giant connected component is formed. We
calculate the position of the phase transition analytically using the
Erd\H{o}s--R\'enyi phenomenology
Analysis of roles and groups in blogosphere
In the paper different roles of users in social media, taking into
consideration their strength of influence and different degrees of
cooperativeness, are introduced. Such identified roles are used for the
analysis of characteristics of groups of strongly connected entities. The
different classes of groups, considering the distribution of roles of users
belonging to them, are presented and discussed.Comment: 8th International Conference on Computer Recognition Systems, CORES
201
Image Coaddition with Temporally Varying Kernels
Large, multi-frequency imaging surveys, such as the Large Synaptic Survey
Telescope (LSST), need to do near-real time analysis of very large datasets.
This raises a host of statistical and computational problems where standard
methods do not work. In this paper, we study a proposed method for combining
stacks of images into a single summary image, sometimes referred to as a
template. This task is commonly referred to as image coaddition. In part, we
focus on a method proposed in previous work, which outlines a procedure for
combining stacks of images in an online fashion in the Fourier domain. We
evaluate this method by comparing it to two straightforward methods through the
use of various criteria and simulations. Note that the goal is not to propose
these comparison methods for use in their own right, but to ensure that
additional complexity also provides substantially improved performance
Analysis of weighted networks
The connections in many networks are not merely binary entities, either
present or not, but have associated weights that record their strengths
relative to one another. Recent studies of networks have, by and large, steered
clear of such weighted networks, which are often perceived as being harder to
analyze than their unweighted counterparts. Here we point out that weighted
networks can in many cases be analyzed using a simple mapping from a weighted
network to an unweighted multigraph, allowing us to apply standard techniques
for unweighted graphs to weighted ones as well. We give a number of examples of
the method, including an algorithm for detecting community structure in
weighted networks and a new and simple proof of the max-flow/min-cut theorem.Comment: 9 pages, 3 figure
Spinning down newborn neutron stars: nonlinear development of the r-mode instability
We model the nonlinear saturation of the r-mode instability via three-mode
couplings and the effects of the instability on the spin evolution of young
neutron stars. We include one mode triplet consisting of the r-mode and two
near resonant inertial modes that couple to it. We find that the spectrum of
evolutions is more diverse than previously thought. The evolution of the star
is dynamic and initially dominated by fast neutrino cooling. Nonlinear effects
become important when the r-mode amplitude grows above its first parametric
instability threshold. The balance between neutrino cooling and viscous heating
plays an important role in the evolution. Depending on the initial r-mode
amplitude, and on the strength of the viscosity and of the cooling this balance
can occur at different temperatures. If thermal equilibrium occurs on the
r-mode stability curve, where gravitational driving equals viscous damping, the
evolution may be adequately described by a one-mode model. Otherwise, nonlinear
effects are important and lead to various more complicated scenarios. Once
thermal balance occurs, the star spins-down oscillating between thermal
equilibrium states until the instability is no longer active. For lower
viscosity we observe runaway behavior in which the r-mode amplitude passes
several parametric instability thresholds. In this case more modes need to be
included to model the evolution accurately. In the most optimistic case, we
find that gravitational radiation from the r-mode instability in a very young,
fast spinning neutron star within about 1 Mpc of Earth may be detectable by
advanced LIGO for years, and perhaps decades, after formation. Details
regarding the amplitude and duration of the emission depend on the internal
dissipation of the modes of the star, which would be probed by such detections.Comment: 23 pages, 13 figures, 1 table. Submitted to Phys. Rev. D.
Detectability discussion expanded. Includes referee inpu
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