900 research outputs found
Correlation, Network and Multifractal Analysis of Global Financial Indices
We apply RMT, Network and MF-DFA methods to investigate correlation, network
and multifractal properties of 20 global financial indices. We compare results
before and during the financial crisis of 2008 respectively. We find that the
network method gives more useful information about the formation of clusters as
compared to results obtained from eigenvectors corresponding to second largest
eigenvalue and these sectors are formed on the basis of geographical location
of indices. At threshold 0.6, indices corresponding to Americas, Europe and
Asia/Pacific disconnect and form different clusters before the crisis but
during the crisis, indices corresponding to Americas and Europe are combined
together to form a cluster while the Asia/Pacific indices forms another
cluster. By further increasing the value of threshold to 0.9, European
countries France, Germany and UK constitute the most tightly linked markets. We
study multifractal properties of global financial indices and find that
financial indices corresponding to Americas and Europe almost lie in the same
range of degree of multifractality as compared to other indices. India, South
Korea, Hong Kong are found to be near the degree of multifractality of indices
corresponding to Americas and Europe. A large variation in the degree of
multifractality in Egypt, Indonesia, Malaysia, Taiwan and Singapore may be a
reason that when we increase the threshold in financial network these countries
first start getting disconnected at low threshold from the correlation network
of financial indices. We fit Binomial Multifractal Model (BMFM) to these
financial markets.Comment: 32 pages, 25 figures, 1 tabl
EXOSC10 is required for RPA assembly and controlled DNA end resection at DNA double-strand breaks
The exosome is a ribonucleolytic complex that plays important roles in RNA metabolism. Here we show that the exosome is necessary for the repair of DNA double-strand breaks (DSBs) in human cells and that RNA clearance is an essential step in homologous recombination. Transcription of DSB-flanking sequences results in the production of damage-induced long non-coding RNAs (dilncRNAs) that engage in DNA-RNA hybrid formation. Depletion of EXOSC10, an exosome catalytic subunit, leads to increased dilncRNA and DNA-RNA hybrid levels. Moreover, the targeting of the ssDNA-binding protein RPA to sites of DNA damage is impaired whereas DNA end resection is hyper-stimulated in EXOSC10-depleted cells. The DNA end resection deregulation is abolished by transcription inhibitors, and RNase H1 overexpression restores the RPA recruitment defect caused by EXOSC10 depletion, which suggests that RNA clearance of newly synthesized dilncRNAs is required for RPA recruitment, controlled DNA end resection and assembly of the homologous recombination machinery.España, Ministerio de Economía y Competitividad R + D + I project grant SAF2016-74855-P to P.
Recycling of Cr/Ni/Cu plating wastes as black ceramic pigments
The non-ferrous metal industry, such as Cr/Ni/Cu plating, produces acid sludge which is usually neutralized
with lime slurry in batch processes, and the resulting waste is dewatered by vacuum filtration or
filter-pressing. Dewatered sludge contains calcium sulphate (CaSO4) coming from the neutralization process,
as well as transition metals (Cr, Ni and Cu), oil, grease and suspended solids. In this communication,
two residual sludges from Cr/Ni/Cu plating have been dried (110 C) and fired (1100 C), and both dried
(gray coloured) and fired powders (black coloured) have been characterized by DTA-TG, XRD and SEMEDX
techniques. XRD shows only quartz crystallization in dried samples, while NiCr2O4 chromite spinel
and NiO periclase crystallize in fired powders, along with CaSO4 anhydrite and CaSiO3 wollastonite. The
powders have been introduced as ceramic pigments into three different conventional glazes: a) a lead
bisilicate (PbO.2SiO2) double fire frit (1000 C), b) a double fire frit with low lead content (1000 C),
and c) a double fire frit without lead (1050 C). Glazed samples were characterized by UV-Vis-NIR (diffuse
reflectance) and CIEL⁄a⁄b⁄ (color parameters). Dried powders induce glaze defects (pin-holing and crawling),
but fired powders did not show these faults exhibiting more intense (higher L⁄
) and yellowish
(higher b⁄
) black colors than the standard spinel
Globally and Locally Minimal Weight Spanning Tree Networks
The competition between local and global driving forces is significant in a
wide variety of naturally occurring branched networks. We have investigated the
impact of a global minimization criterion versus a local one on the structure
of spanning trees. To do so, we consider two spanning tree structures - the
generalized minimal spanning tree (GMST) defined by Dror et al. [1] and an
analogous structure based on the invasion percolation network, which we term
the generalized invasive spanning tree or GIST. In general, these two
structures represent extremes of global and local optimality, respectively.
Structural characteristics are compared between the GMST and GIST for a fixed
lattice. In addition, we demonstrate a method for creating a series of
structures which enable one to span the range between these two extremes. Two
structural characterizations, the occupied edge density (i.e., the fraction of
edges in the graph that are included in the tree) and the tortuosity of the
arcs in the trees, are shown to correlate well with the degree to which an
intermediate structure resembles the GMST or GIST. Both characterizations are
straightforward to determine from an image and are potentially useful tools in
the analysis of the formation of network structures.Comment: 23 pages, 5 figures, 2 tables, typographical error correcte
Time- and vector-resolved Kerr microscopy of hard disk writers
Copyright © 2011 American Institute of Physics. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the American Institute of Physics. The following article appeared in Applied Physics Letters 99 (2011) and may be found at http://dx.doi.org/10.1063/1.3665957Time-resolved scanning Kerr microscopy has been used to make wafer level measurements of magnetization dynamics within the yoke and pole piece of partially built hard disk writer structures. Three Cartesian components of the vector magnetization were recorded simultaneously using a quadrant photodiode polarization bridge detector. The rise time, relaxation time, and amplitude of each component has been related to the magnetic ground state, the initial torque, and flux propagation through the yoke and pole piece. Dynamic images reveal “flux-beaming” in which the magnetization component parallel to the symmetry axis of the yoke is largest along that axis
Scalar--flat K\"ahler metrics with conformal Bianchi V symmetry
We provide an affirmative answer to a question posed by Tod \cite{Tod:1995b},
and construct all four-dimensional Kahler metrics with vanishing scalar
curvature which are invariant under the conformal action of Bianchi V group.
The construction is based on the combination of twistor theory and the
isomonodromic problem with two double poles. The resulting metrics are
non-diagonal in the left-invariant basis and are explicitly given in terms of
Bessel functions and their integrals. We also make a connection with the LeBrun
ansatz, and characterise the associated solutions of the SU(\infty) Toda
equation by the existence a non-abelian two-dimensional group of point
symmetries.Comment: Dedicated to Maciej Przanowski on the occasion of his 65th birthday.
Minor corrections. To appear in CQ
Impact of Unexpected Events, Shocking News and Rumours on Foreign Exchange Market Dynamics
We analyze the dynamical response of the world's financial community to
various types of unexpected events, including the 9/11 terrorist attacks as
they unfolded on a minute-by-minute basis. We find that there are various
'species' of news, characterized by how quickly the news get absorbed, how much
meaning and importance is assigned to it by the community, and what subsequent
actions are then taken. For example, the response to the unfolding events of
9/11 shows a gradual collective understanding of what was happening, rather
than an immediate realization. For news items which are not simple economic
statements, and hence whose implications are not immediately obvious, we
uncover periods of collective discovery during which collective opinions seem
to oscillate in a remarkably synchronized way. In the case of a rumour, our
findings also provide a concrete example of contagion in inter-connected
communities. Practical applications of this work include the possibility of
producing selective newsfeeds for specific communities, based on their likely
impact
Balancing Minimum Spanning and Shortest Path Trees
This paper give a simple linear-time algorithm that, given a weighted
digraph, finds a spanning tree that simultaneously approximates a shortest-path
tree and a minimum spanning tree. The algorithm provides a continuous
trade-off: given the two trees and epsilon > 0, the algorithm returns a
spanning tree in which the distance between any vertex and the root of the
shortest-path tree is at most 1+epsilon times the shortest-path distance, and
yet the total weight of the tree is at most 1+2/epsilon times the weight of a
minimum spanning tree. This is the best tradeoff possible. The paper also
describes a fast parallel implementation.Comment: conference version: ACM-SIAM Symposium on Discrete Algorithms (1993
Evolving structures of star-forming clusters
Understanding the formation and evolution of young star clusters requires
quantitative statistical measures of their structure. We investigate the
structures of observed and modelled star-forming clusters. By considering the
different evolutionary classes in the observations and the temporal evolution
in models of gravoturbulent fragmentation, we study the temporal evolution of
the cluster structures. We apply different statistical methods, in particular
the normalised mean correlation length and the minimum spanning tree technique.
We refine the normalisation of the clustering parameters by defining the area
using the normalised convex hull of the objects and investigate the effect of
two-dimensional projection of three-dimensional clusters. We introduce a new
measure for the elongation of a cluster. It is defined as the ratio of
the cluster radius determined by an enclosing circle to the cluster radius
derived from the normalised convex hull. The mean separation of young stars
increases with the evolutionary class, reflecting the expansion of the cluster.
The clustering parameters of the model clusters correspond in many cases well
to those from observed ones, especially when the values are similar. No
correlation of the clustering parameters with the turbulent environment of the
molecular cloud is found, indicating that possible influences of the
environment on the clustering behaviour are quickly smoothed out by the stellar
velocity dispersion. The temporal evolution of the clustering parameters shows
that the star cluster builds up from several subclusters and evolves to a more
centrally concentrated cluster, while the cluster expands slower than new stars
are formed.Comment: 11 pages, 10 figures, accepted by A&A; slightly modified according to
the referee repor
Pre-main sequence stars in the stellar association N11 in the Large Magellanic Cloud
Magellanic Clouds are of extreme importance to the study of the star
formation process in low metallicity environments. In this paper we report on
the discovery of pre-main sequence candidates and young embedded stellar
objects in N11 located in the Large Magellanic Cloud to cast light on the star
formation scenario. We would like to remind that this comparison is complicated
by the presence of a large age dispersion detected in the fields. Deep archive
HST/ACS photometry is used to derive color-magnitude diagrams of the
associations in N~11 and of the foreground field population. These data are
complemented by archive IR Spitzer data which allow the detection of young
embedded stellar objects. The spatial distribution of the pre-main sequence
candidates and young embedded stellar objects is compared with literature data
observed at different wavelengths, such as H and CO maps, and with
the distribution of OB and Herbig Ae/Be stars. The degree of clustering is
derived using the Minimal Spanning Tree method and the two point correlation
function to get insights about the formation process. A large population of
pre-main sequence candidates is found in N11. Their masses are in the range of
1.3-2 MSun for ages from 2 to 10 Myr. Young embedded stellar objects having
ages of 0.1-1 Myr are found to be intermixed with the candidate pre-main
sequence stars. The spatial distribution of the stars shows that this region is
the product of clustered star formation. No significant difference is found in
the clustering degree of young blue main sequence stars and faint pre-main
sequence candidates, suggesting that they might be part of the same formation
process. The data suggest that the star formation in the region is a
long-lasting process where stars from 0.1 to 10 Myr are widely distributed.Comment: 18 pages, 21 figures, accepted for publication in A&
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