title: Graph Automorphisms from the Geometric Viewpoint

abstract:
  An automorphism of a graph $G=(V,E)$ is a bijective map $\phi$ from $V$ to
itself such that $\phi(v_i)\phi(v_j)\in E$ $\Leftrightarrow$ $v_i v_j\in E$ for
any two vertices $v_i$ and $v_j$. Denote by $\mathfrak{G}$ the group consisting
of all automorphisms of $G$. Apparently, an automorphism of $G$ can be regarded
as a permutation on $[n]=\{1,\ldots,n\}$, provided that $G$ has $n$ vertices.
For each permutation $\sigma$ on $[n]$, there is a natural action on any given
vector $\boldsymbol{u}=(u_1,\ldots,u_n)^t\in \mathbb{C}^n$ such that
$\sigma\boldsymbol{u}=(u_{\sigma^{-1}1},u_{\sigma^{-1}2},\ldots,u_{\sigma^{-1}
n})^t$, so $\sigma$ can be viewed as a linear operator on $\mathbb{C}^n$.
Accordingly, one can formulate a characterization to the automorphisms of $G$,
{\it i.e.,} $\sigma$ is an automorphism of $G$ if and only if every eigenspace
of $\mathbf{A}(G)$ is $\sigma$-invariant, where $\mathbf{A}(G)$ is the
adjacency matrix of $G$. Consequently, every eigenspace of $\mathbf{A}(G)$ is
$\mathfrak{G}$-invariant, which is equivalent to that for any eigenvector
$\boldsymbol{v}$ of $\mathbf{A}(G)$ corresponding to the eigenvalue $\lambda$,
$\mathrm{span}(\mathfrak{G}\boldsymbol{v})$ is a subspace of the eigenspace
$V_{\lambda}$. By virtue of the linear representation of the automorphism group
$\mathfrak{G}$, we characterize those extremal vectors $\boldsymbol{v}$ in an
eigenspace of $\mathbf{A}(G)$ so that
$\mathrm{dim}~\mathrm{span}(\mathfrak{G}\boldsymbol{v})$ can attain extremal
values, and furthermore, we determine the exact value of
$\mathrm{dim}~\mathrm{span}(\mathfrak{G}\boldsymbol{v})$ for any eigenvector
$\boldsymbol{v}$ of $\mathbf{A}(G)$.


title: JKR solution for an anisotropic half space

abstract:
  In this paper, the classical JKR theory of the adhesive contact of isotropic
elastic spheres is extended to consider the effect of anisotropic elasticity.
The contact area will then generally be non-circular, but in many cases it can
reasonably be approximated by an ellipse whose dimensions are determined by
imposing the energy release rate criterion at the ends of the major and minor
axes. Analytical expressions are obtained for the relations between the contact
force, the normal displacement and the ellipse semi-axes. It is found that the
eccentricity of the contact area decreases during tensile loading and for cases
when the point load solution can be accurately described by only one Fourier
term, it is almost circular at pull-off, permitting an exact closed form
solution for this case. As in the isotropic JKR solution, the pull-off force is
independent of the mean elastic modulus, but we find that anisotropy increases
the pull-off force and this effect can be quite significant.


title: Stochastic volatility models with possible extremal clustering

abstract:
  In this paper we consider a heavy-tailed stochastic volatility model,
$X_t=\sigma_tZ_t$, $t\in\mathbb{Z}$, where the volatility sequence $(\sigma_t)$
and the i.i.d. noise sequence $(Z_t)$ are assumed independent, $(\sigma_t)$ is
regularly varying with index $\alpha>0$, and the $Z_t$'s have moments of order
larger than $\alpha$. In the literature (see Ann. Appl. Probab. 8 (1998)
664-675, J. Appl. Probab. 38A (2001) 93-104, In Handbook of Financial Time
Series (2009) 355-364 Springer), it is typically assumed that $(\log\sigma_t)$
is a Gaussian stationary sequence and the $Z_t$'s are regularly varying with
some index $\alpha$ (i.e., $(\sigma_t)$ has lighter tails than the $Z_t$'s), or
that $(Z_t)$ is i.i.d. centered Gaussian. In these cases, we see that the
sequence $(X_t)$ does not exhibit extremal clustering. In contrast to this
situation, under the conditions of this paper, both situations are possible;
$(X_t)$ may or may not have extremal clustering, depending on the clustering
behavior of the $\sigma$-sequence.


title: Magnetic structure of an activated filament in a flaring active region

abstract:
  While the magnetic field in quiescent prominences has been widely
investigated, less is known about the field in activated prominences. We
introduce observational results on the magnetic field structure of an activated
filament in a flaring active region. We study, in particular, its magnetic
structure and line-of-sight flows during its early activated phase, shortly
before it displays signs of rotation. We invert the Stokes profiles of the
chromospheric He I 10830 A triplet and the photospheric Si I 10827 A line
observed in this filament by the VTT on Tenerife. Using these inversion results
we present and interpret the first maps of velocity and magnetic field obtained
in an activated filament, both in the photosphere and the chromosphere. Up to 5
different magnetic components are found in the chromospheric layers of the
filament, while outside the filament a single component is sufficient to
reproduce the observations. Magnetic components displaying an upflow are
preferentially located towards the centre of the filament, while the downflows
are concentrated along its periphery. Also, the upflowing gas is associated
with an opposite-polarity magnetic configuration with respect to the
photosphere, while the downflowing gas is associated with a same-polarity
configuration. The activated filament has a rather complex structure.
Nonetheless, it is compatible with a flux rope, although with a distorted one,
in the normal configuration. The observations are best explained by a rising
flux rope in which a part of the filament material is still stably stored
(upflowing material, rising with the field), while a part is no longer stably
stored and flows down along the field lines.


title:
On sets of eigenvalues of matrices with prescribed row sums and
  prescribed graph

abstract:
  Motivated by a work of Boros, Brualdi, Crama and Hoffman, we consider the
sets of (i) possible Perron roots of nonnegative matrices with prescribed row
sums and associated graph, and (ii) possible eigenvalues of complex matrices
with prescribed associated graph and row sums of the moduli of their entries.
To characterize the set of Perron roots or possible eigenvalues of matrices in
these classes we introduce, following an idea of Al'pin, Elsner and van den
Driessche, the concept of row uniform matrix, which is a nonnegative matrix
where all nonzero entries in every row are equal. Furthermore, we completely
characterize the sets of possible Perron roots of the class of nonnegative
matrices and the set of possible eigenvalues of the class of complex matrices
under study. Extending known results to the reducible case, we derive new sharp
bounds on the set of eigenvalues or Perron roots of matrices when the only
information available is the graph of the matrix and the row sums of the moduli
of its entries. In the last section of the paper a new constructive proof of
the Camion-Hoffman theorem is given.


title: Harmonic morphisms from five-dimensional Lie groups

abstract:
  We consider 5-dimensional Lie groups with left-invariant Riemannian metrics.
For such groups we give a partial classification of left-invariant conformal
foliations with minimal leaves of codimension 2. These foliations produce local
complex-valued harmonic morphisms.


title:
OCEAN: Open-source Collation of eGovernment data And Networks -
  Understanding Privacy Leaks in Open Government Data

abstract:
  The awareness and sense of privacy has increased in the minds of people over
the past few years. Earlier, people were not very restrictive in sharing their
personal information, but now they are more cautious in sharing it with
strangers, either in person or online. With such privacy expectations and
attitude of people, it is difficult to embrace the fact that a lot of
information is publicly available on the web. Information portals in the form
of the e-governance websites run by Delhi Government in India provide access to
such PII without any anonymization. Several databases e.g., Voterrolls, Driving
Licence number, MTNL phone directory, PAN card serve as repositories of
personal information of Delhi residents. This large amount of available
personal information can be exploited due to the absence of proper written law
on privacy in India. PII can also be collected from various social networking
sites like Facebook, Twitter, GooglePlus etc. where the users share some
information about them. Since users themselves put this information, it may not
be considered as a privacy breach, but if the information is aggregated, it may
give out much more information resulting in a bigger threat. To bring such
issues to public notice, we developed Open-source Collation of eGovernment data
And Networks (OCEAN), a system where the user enters little information (e.g.
Name) about a person and gets large amount of personal information about him /
her like name, age, address, date of birth, mother's name, father's name, voter
ID, driving licence number, PAN.


title:
An efficient length- and rate-preserving concatenation of polar and
  repetition codes

abstract:
  We improve the method in \cite{Seidl:10} for increasing the finite-lengh
performance of polar codes by protecting specific, less reliable symbols with
simple outer repetition codes. Decoding of the scheme integrates easily in the
known successive decoding algorithms for polar codes. Overall rate and block
length remain unchanged, the decoding complexity is at most doubled. A
comparison to related methods for performance improvement of polar codes is
drawn.


title:
Entanglement classification of three fermions with up to nine
  single-particle states

abstract:
  Based on results well known in the mathematics literature but have not made
their debut to the physics literature yet we conduct a study on three-fermionic
systems with six, seven, eight and nine single-particle states. Via introducing
special polynomial invariants playing the role of entanglement measures the
structure of the SLOCC entanglement classes is investigated. The SLOCC classes
of the six- and seven-dimensional cases can elegantly be described by special
subconfigurations of the Fano plane. Some special embedded systems containing
distinguishable constituents are arising naturally in our formalism, namely,
three-qubits and three-qutrits. In particular the three fundamental invariants
$I_6$, $I_9$, and $I_{12}$ of the three-qutrits system are shown to arise as
special cases of the four fundamental invariants of three-fermions with nine
single-particle states.


title: Steady and periodic regimes of laminar flow around the rotating cylinder

abstract:
  A numerical study of the problem of laminar infinite flow of viscous
incompressible fluid around a rotating circular cylinder at Reynolds number $
50 \le {\rm Re} \le 500 $ and dimensionless rotation rate $ 0 \le \alpha \le 7
$ has been carried out. The parametric map of flow regimes has been
constructed, where two zones of steady and two zones of periodic solutions are
signed out. The dependencies of the drag and lift coefficients on the rotation
rate for $ {\rm Re} = 200 $ are studied in detail. Convergence of the numerical
solution to the known asymptotic solution at large $ \alpha $ is confirmed.


title: Long-range dependent time series specification

abstract:
  In this paper we propose using a nonparametric model specification test for
parametric time series with long-range dependence (LRD). To establish
asymptotic distributions of the proposed test statistic, we develop new central
limit theorems for certain weighted quadratic forms of stationary time series
with LRD. To implement our proposed test in practice, we develop a
computer-intensive parametric bootstrap simulation procedure for finding
simulated critical values. As a result, our finite-sample studies demonstrate
that both the proposed theory and the simulation procedure work well, and that
the proposed test has little size distortion and reasonable power.


title:
Performance Analysis Of Regularized Linear Regression Models For
  Oxazolines And Oxazoles Derivitive Descriptor Dataset

abstract:
  Regularized regression techniques for linear regression have been created the
last few ten years to reduce the flaws of ordinary least squares regression
with regard to prediction accuracy. In this paper, new methods for using
regularized regression in model choice are introduced, and we distinguish the
conditions in which regularized regression develops our ability to discriminate
models. We applied all the five methods that use penalty-based (regularization)
shrinkage to handle Oxazolines and Oxazoles derivatives descriptor dataset with
far more predictors than observations. The lasso, ridge, elasticnet, lars and
relaxed lasso further possess the desirable property that they simultaneously
select relevant predictive descriptors and optimally estimate their effects.
Here, we comparatively evaluate the performance of five regularized linear
regression methods The assessment of the performance of each model by means of
benchmark experiments is an established exercise. Cross-validation and
resampling methods are generally used to arrive point evaluates the
efficiencies which are compared to recognize methods with acceptable features.
Predictive accuracy was evaluated using the root mean squared error (RMSE) and
Square of usual correlation between predictors and observed mean inhibitory
concentration of antitubercular activity (R square). We found that all five
regularized regression models were able to produce feasible models and
efficient capturing the linearity in the data. The elastic net and lars had
similar accuracies as well as lasso and relaxed lasso had similar accuracies
but outperformed ridge regression in terms of the RMSE and R square metrics.


title:
Ultrametricity and long-range correlations in the Edwards-Anderson spin
  glass

abstract:
  In recent times, the theoretical study of the three-dimensional
Edwards-Anderson model has produced several rigorous results on the nature of
the spin-glass phase. In particular, it has been shown that, as soon as the
overlap distribution is non-trivial, ultrametricity holds. However, these
theorems are valid only in the thermodynamical limit and are therefore of
uncertain applicability for (perennially off-equilibrium) experimental spin
glasses. In addition, their basic assumption of non-triviality is still hotly
debated. This paper intends to show that the predictions stemming from
ultrametricity are already well satisfied for the lattice sizes where numerical
simulations are possible (i.e., up to $V = 32^3$ spins) and are, therefore,
relevant at experimental scales. To this end we introduce a three-replica
correlation function, which evinces the ultrametric properties of the system
and is shown to scale in the same way as the overlap correlation function.


title:
Coverage, field specialization and impact of scientific publishers
  indexed in the 'Book Citation Index'

abstract:
  Purpose: The aim of this study is to analyze the disciplinary coverage of the
Thomson Reuters' Book Citation Index database focusing on publisher presence,
impact and specialization. Design/Methodology/approach: We conduct a
descriptive study in which we examine coverage by discipline, publisher
distribution by field and country of publication, and publisher impact. For
this the Thomson Reuters' Subject Categories were aggregated into 15
disciplines. Findings: 30% of the total share of this database belongs to the
fields of Humanities and Social Sciences. Most of the disciplines are covered
by very few publishers mainly from the UK and USA (75.05% of the books), in
fact 33 publishers concentrate 90% of the whole share. Regarding publisher
impact, 80.5% of the books and chapters remained uncited. Two serious errors
were found in this database. Firstly, the Book Citation Index does not retrieve
all citations for books and chapters. Secondly, book citations do not include
citations to their chapters. Research limitations/implications: The Book
Citation Index is still underdeveloped and has serious limitations which call
into caution when using it for bibliometric purposes. Practical implications:
The results obtained from this study warn against the use of this database for
bibliometric purposes, but opens a new window of opportunities for covering
long neglected areas such as Humanities and Social Sciences. The target
audience of this study is librarians, bibliometricians, researchers, scientific
publishers, prospective authors and evaluation agencies. Originality/Value:
There are currently no studies analyzing in depth the coverage of this novel
database which covers monographs.


title:
Plasma radio emission from inhomogeneous collisional plasma of a flaring
  loop

abstract:
  The evolution of a solar flare accelerated non-thermal electron population
and associated plasma emission is considered in collisional inhomogeneous
plasma. Non-thermal electrons collisionally evolve to become unstable and
generate Langmuir waves, which may lead to intense radio emission. We
self-consistently simulated the collisional relaxation of electrons,
wave-particle interactions, and non-linear Langmuir wave evolution in plasma
with density fluctuations. Additionally, we simulated the scattering, decay,
and coalescence of the Langmuir waves which produce radio emission at the
fundamental or the harmonic of the plasma frequency, using an angle-averaged
emission model. Long-wavelength density fluctuations, such as are observed in
the corona, are seen to strongly suppress the levels of radio emission, meaning
that a high level of Langmuir waves can be present without visible radio
emission. Additionally, in homogeneous plasma, the emission shows time and
frequency variations that could be smoothed out by density inhomogeneities.


title:
On the stability of multi-scale models of dynamical symmetry breaking
  from holography

abstract:
  We consider two classes of backgrounds of Type IIB supergravity obtained by
wrapping D5-branes on a two-cycle inside the conifold. The field theory dual
exhibits confinement and, in addition, a region in which the dynamics is
walking, at least in the weak sense that the running of the coupling is
anomalously slow. We introduce quenched matter in the fundamental, modelled by
probe D7-branes which wrap an internal three-dimensional manifold and lie at
the equator of the transverse two-sphere. In the space spanned by the remaining
internal angle and the radial coordinate the branes admit two embeddings. The
first one is U-shaped: the branes merge at some finite value of the radius. The
second one is disconnected and extends along the entire radial direction at
fixed angular separation. We interpret these two configurations as
corresponding to chiral-symmetry breaking and preserving phases, respectively.
We present a simple diagnostic tool to examine the classical stability of the
embedding, based on the concavity/convexity conditions for the relevant
thermodynamic potentials. We use this criterion to show that U-shaped probes
that explore the walking region are unstable, hence providing a dynamical
origin for the tachyonic mode found in the literature. Whenever this occurs,
the disconnected solution becomes favored energetically. We find that in one of
the two classes of backgrounds the U-shaped embedding is always unstable, and
thus never realised dynamically. Consequently, these models cannot be used to
describe chiral-symmetry breaking. In the second category of solutions, our
analysis reveals the presence of a first-order phase transition between
chiral-symmetry broken and restored phases. Interestingly, this is in the same
class that contains a parametrically light scalar in the spectrum of glueballs
of the dual field theory.


title:
Penalization methods for the Skorokhod problem and reflecting SDEs with
  jumps

abstract:
  We study the problem of approximation of solutions of the Skorokhod problem
and reflecting stochastic differential equations (SDEs) with jumps by sequences
of solutions of equations with penalization terms. Applications to discrete
approximation of weak and strong solutions of reflecting SDEs are given. Our
proofs are based on new estimates for solutions of equations with penalization
terms and the theory of convergence in the Jakubowski $S$-topology.


title: Reverberant Audio Source Separation via Sparse and Low-Rank Modeling

abstract:
  The performance of audio source separation from underdetermined convolutive
mixture assuming known mixing filters can be significantly improved by using an
analysis sparse prior optimized by a reweighting l1 scheme and a wideband
datafidelity term, as demonstrated by a recent article. In this letter, we show
that the performance can be improved even more significantly by exploiting a
low-rank prior on the source spectrograms.We present a new algorithm to
estimate the sources based on i) an analysis sparse prior, ii) a reweighting
scheme so as to increase the sparsity, iii) a wideband data-fidelity term in a
constrained form, and iv) a low-rank constraint on the source spectrograms.
Evaluation on reverberant music mixtures shows that the resulting algorithm
improves state-of-the-art methods by more than 2 dB of signal-to-distortion
ratio.


title:
Lattice data inspired but Minkowski space calculated QCD fundamental
  propagator

abstract:
  We study the Dyson-Schwinger equation for the quark propagator in Minkowski
space. In order to have analytical behaviour at the timelike axis of momenta
under control, we use the Stieltjes and the Hilbert transformation for the
interaction kernels and discuss the solution from the perspective of these
transformations. In addition, a lattice fit for the gluon propagator and
approximation for quark-gluon vertex are employed, and within the model the
quark propagator is obtained through the solution of Dyson-Schwinger equation
in Minkowski space. The resulting propagators in all studied cases do not show
up particle like pole and production thresholds. Instead of, the quark
propagator satisfies Hilbert transformation and the associated dynamical mass
function becomes complex without a presence of particle like branch point.


title: Enhancement of photoacoustic detection of inhomogeneities in polymers

abstract:
  We report a series of experiments on laser pulsed photoacoustic excitationin
turbid polymer samples addressed to evaluate the sound speed in the samples and
the presence of inhomogeneities in the bulk. We describe a system which allows
the direct measurement of the speed of the detected waves by engraving the
surface of the piece under study with a fiduciary pattern of black lines. We
also describe how this pattern helps to enhance the sensitivity for the
detection of an inhomogeneity in the bulk. These two facts are useful for
studies in soft matter systems including, perhaps, biological samples. We have
performed an experimental analysis on Grilon(R) samples in different situations
and we show the limitations of the method.


title: OntoVerbal: a Generic Tool and Practical Application to SNOMED CT

abstract:
  Ontology development is a non-trivial task requiring expertise in the chosen
ontological language. We propose a method for making the content of ontologies
more transparent by presenting, through the use of natural language generation,
naturalistic descriptions of ontology classes as textual paragraphs. The method
has been implemented in a proof-of- concept system, OntoVerbal, that
automatically generates paragraph-sized textual descriptions of ontological
classes expressed in OWL. OntoVerbal has been applied to ontologies that can be
loaded into Prot\'eg\'e and been evaluated with SNOMED CT, showing that it
provides coherent, well-structured and accurate textual descriptions of
ontology classes.


title:
Some inequalities of linear combinations of independent random
  variables: II

abstract:
  Linear combinations of independent random variables have been extensively
studied in the literature. However, most of the work is based on some specific
distribution assumptions. In this paper, a companion of (J. Appl. Probab. 48
(2011) 1179-1188), we unify the study of linear combinations of independent
nonnegative random variables under the general setup by using some monotone
transforms. The results are further generalized to the case of independent but
not necessarily identically distributed nonnegative random variables. The main
results complement and generalize the results in the literature including (In
Studies in Econometrics, Time Series, and Multivariate Statistics (1983)
465-489 Academic Press; Sankhy\={a} Ser. A 60 (1998) 171-175; Sankhy\={a} Ser.
A 63 (2001) 128-132; J. Statist. Plann. Inference 92 (2001) 1-5; Bernoulli 17
(2011) 1044-1053).


title:
Spatial risk mapping for rare disease with hidden Markov fields and
  variational EM

abstract:
  Current risk mapping models for pooled data focus on the estimated risk for
each geographical unit. A risk classification, that is, grouping of
geographical units with similar risk, is then necessary to easily draw
interpretable maps, with clearly delimited zones in which protection measures
can be applied. As an illustration, we focus on the Bovine Spongiform
Encephalopathy (BSE) disease that threatened the bovine production in Europe
and generated drastic cow culling. This example features typical animal disease
risk analysis issues with very low risk values, small numbers of observed cases
and population sizes that increase the difficulty of an automatic
classification. We propose to handle this task in a spatial clustering
framework using a nonstandard discrete hidden Markov model prior designed to
favor a smooth risk variation. The model parameters are estimated using an EM
algorithm and a mean field approximation for which we develop a new
initialization strategy appropriate for spatial Poisson mixtures. Using both
simulated and our BSE data, we show that our strategy performs well in dealing
with low population sizes and accurately determines high risk regions, both in
terms of localization and risk level estimation.


title: Non-local common cause explanations for EPR

abstract:
  The paper argues that a causal explanation of the correlated outcomes of
EPR-type experiments is desirable and possible. It shows how Bohmian mechanics
and the GRW mass density theory offer such an explanation in terms of a
non-local common cause.


title: Supersymmetric invariant theories

abstract:
  We study field models for which a quantum action (i.e. the action appearing
in the generating functional of Green functions) is invariant under
supersymmetric transformations. We derive the Ward identity which is direct
consequence of this invariance. We consider a change of variables in functional
integral connected with supersymmetric transformations when its parameter is
replaced by a nilpotent functional of fields. Exact form of the corresponding
Jacobian is found. We find restrictions on generators of supersymmetric
transformations when a consistent quantum description of given field theories
exists.


title:
Two types of Dirac-cone surface states on (111) surface of topological
  crystalline insulator SnTe

abstract:
  We have performed angle-resolved photoemission spectroscopy (ARPES) on the
(111) surface of the topological crystalline insulator SnTe. Distinct from a
pair of Dirac-cone surface states across the X_bar point of the surface
Brillouin zone on the (001) surface, we revealed two types of Dirac-cone
surface states each centered at the G_bar and M_bar points, which originate
from the bulk-band inversion at the L points. We also found that the energy
location of the Dirac point and the Dirac velocity are different from each
other. This ARPES experiment demonstrates the surface states on different
crystal faces of a topological material, and it elucidates how
mirror-symmetry-protected Dirac cones of a topological crystalline insulator
show up on surfaces with different symmetries.


title: A Novel Software Tool for Analysing NT File System Permissions

abstract:
  Administrating and monitoring New Technology File System (NTFS) permissions
can be a cumbersome and convoluted task. In today's data rich world there has
never been a more important time to ensure that data is secured against
unwanted access. This paper identifies the essential and fundamental
requirements of access control, highlighting the main causes of their
misconfiguration within the NTFS. In response, a number of features are
identified and an efficient, informative and intuitive software-based solution
is proposed for examining file system permissions. In the first year that the
software has been made freely available it has been downloaded and installed by
over four thousand users


title: Effective $\theta$ term by CP-odd electromagnetic background fields

abstract:
  We discuss our study of QCD in the presence of CP-odd electromagnetic (e.m.)
background fields. We investigate the propagation of the CP-odd term from the
e.m. sector to the strong sector, inducing an effective $\theta$ term. We
discuss the method we have used in our lattice QCD simulations, and the results
of our analysis, which are relevant to the determination of the effective
pseudoscalar QED-QCD interactions. We also explore how these CP-odd e.m.
background fields influence the number of the Dirac zero modes in our
configurations.


title:
Hierarchical Low Power Consumption Technique with Location Information
  for Sensor Networks

abstract:
  In the wireless sensor networks composed of battery-powered sensor nodes, one
of the main issues is how to save power consumption at each node. The usual
approach to this problem is to activate only necessary nodes (e.g., those nodes
which compose a backbone network), and to put other nodes to sleep. One such
algorithm using location information is GAF (Geographical Adaptive Fidelity),
and the GAF is enhanced to HGAF (Hierarchical Geographical Adaptive Fidelity).
In this paper, we show that we can further improve the energy efficiency of
HGAF by modifying the manner of dividing sensor-field. We also provide a
theoretical bound on this problem.


title:
Polylogarithmic Gap between Meshes with Reconfigurable Row/Column Buses
  and Meshes with Statically Partitioned Buses

abstract:
  This paper studies the difference in computational power between the
mesh-connected parallel computers equipped with dynamically reconfigurable bus
systems and those with static ones. The mesh with separable buses (MSB) is the
mesh-connected parallel computer with dynamically reconfigurable row/column
buses. The broadcast buses of the MSB can be dynamically sectioned into smaller
bus segments by program control. We show that the MSB of size $n \times n$ can
work with$O(\log^2 n)$ step even if its dynamic reconfigurable function is
disabled. Here, we assume the word-model broadcast buses, and use the relation
between the word-model bus and the bit-model bus.


title: Personalized real time weather forecasting

abstract:
  Temperature forecasting and rain forecasting in today's environment is
playing a major role in many fields like transportation, tour planning and
agriculture. The purpose of this paper is to provide a real time forecasting to
the user according to their current position and requirement. The simplest
method of forecasting the weather, persistence, relies upon today's conditions
to forecast the conditions tomorrow i.e. analyzing historical data for
predicting future weather conditions. The weather data used for the DM research
include daily temperature, daily pressure and monthly rainfall.


title: Further examples of GGC and HCM densities

abstract:
  We display several examples of generalized gamma convoluted and
hyperbolically completely monotone random variables related to positive
$\alpha$-stable laws. We also obtain new factorizations for the latter,
refining Kanter's and Pestana-Shanbhag-Sreehari's. These results give stronger
credit to Bondesson's hypothesis that positive $\alpha$-stable densities are
hyperbolically completely monotone whenever $\alpha\le1/2.$


title: On a Possible Explanation of the DLS-Puzzle

abstract:
  The enhancement in the dilepton spectrum observed in heavy-ion collisions for
invariant electron-positron masses in the range 0.15 GeV/c$^2 < M_{e^+e^-} <$
0.6 GeV/c$^2$ has recently been traced back to a corresponding enhancement in
$pn$ collisions relative to $pp$ collisions. Whereas the dilepton spectra in
the latter are understood quantitatively, theoretical descriptions fail to
describe the much higher dilepton rate in $pn$ collisions, in particular
regarding the region $M_{e^+e^-} >$ 0.3 GeV/c$^2$ at beam energies below 2 GeV.
We show that the missing strength can be attributed to the $\rho$-channel
$\pi^+\pi^-$-production, which is dominated by the $t$-channel $\Delta\Delta$
excitation and the recently found isoscalar dibaryonic resonance structure at
2.37 GeV.


title: Topological order away from equilibrium

abstract:
  Topological ordered states are exotic quantum states of matter that defy the
usual description in terms of symmetry breaking and local order parameters. The
type or order they feature is of non-local, topological nature, and it allows
such systems to present unusual and interesting behaviours, like robust
degeneracy, and anyonic excitations. Here we focus on the behaviour of such
systems away from equilibrium. After a sudden change of the Hamiltonian - the
so called quantum quench - quantum many body systems show thermalization,
unless the quench is integrable. We show how in topologically ordered systems
out of equilibrium behaviour do not follow the usual thermalization behaviour.


title: Measure and Hausdorff dimension of randomized Weierstrass-type functions

abstract:
  In this paper we consider functions of the type $$f(x) = \sum_{n=0}^\infty
a_n g(b_nx+\theta_n),$$ where $(a_n)$ are independent random variables
uniformly distributed on $(-a^n, a^n)$ for some $0<a<1$, $b_{n+1}/b_n \geq b
>1$, $a^2b> 1$ and $g$ is a $C^1$ periodic real function with finite number of
critical points in every bounded interval. We prove that the occupation measure
for $f$ has $L^2$ density almost surely. Furthermore, the Hausdorff dimension
of the graph of $f$ is almost surely equal to $D = 2+ \log{a}/\log{b}$ provided
$ b = \lim_{n\rightarrow \infty}b_{n+1}/b_n>1$ and $ab>1$.


title:
Energy-Efficient Cell Partition of 3D Space for Sensor Networks with
  Location Information

abstract:
  In the wireless sensor networks composed of battery-powered sensor nodes, one
of the main issues is how to save power consumption on each node. The usual
approach to this problem is to activate only necessary nodes (e.g., those nodes
which compose a backbone network), and to put other nodes to sleep. One such
algorithm using location information is GAF (Geographical Adaptive Fidelity),
and GAF is enhanced to HGAF (Hierarchical Geographical Adaptive Fidelity). In
this paper, we study the energy-efficient partition of a 3 dimensional sensor
field into cells. Further, we give a theoretical upper bound on cell size for
this problem.


title: Prolate stars due to meridional flows

abstract:
  We have shown analytically that shapes of incompressible stars could be
prolate if appropriate meridional flows exist. Although this result is strictly
valid only if either the meridional flow or the rotation is absent and the
vorticity is associated uniformly with meridional flow, this implies that
perpendicular forces against centrifugal and/or magnetic forces might play
important roles within stars. A consequence of the presence of meridional flows
might be to decrease stellar oblateness due to centrifugal and/or magnetic
fields.


title:
Deformation induced changes in surface properties of polymers
  investigated by scanning force microscopy

abstract:
  In this study the possibility of combining commercial Scanning Force
Microscopes (SFM) with stretching devices for the investigation of microscopic
surface changes during stepwise elongation is investigated. Different types of
stretching devices have been developed either for Scanning Platform-SFM or for
Stand Alone-SFM. Their suitability for the investigation of deformation induced
surface changes is demonstrated. A uniaxially oriented polypropylene film is
stretched vertically to its extrusion direction. The reorientation of its
microfibrillar structure is investigated and correlated to macroscopic
structural changes determined by taking a force-elongation curve. Microtome
cuts of natural rubber filled with 15 PHR carbon black are stretched. Changes
in topography, local stiffness and adhesive force are simultaneously reported
by using a new imaging method called Pulsed Force Mode (PFM).


title: The Complexity of Change

abstract:
  Many combinatorial problems can be formulated as "Can I transform
configuration 1 into configuration 2, if certain transformations only are
allowed?". An example of such a question is: given two k-colourings of a graph,
can I transform the first k-colouring into the second one, by recolouring one
vertex at a time, and always maintaining a proper k-colouring? Another example
is: given two solutions of a SAT-instance, can I transform the first solution
into the second one, by changing the truth value one variable at a time, and
always maintaining a solution of the SAT-instance? Other examples can be found
in many classical puzzles, such as the 15-Puzzle and Rubik's Cube.
  In this survey we shall give an overview of some older and more recent work
on this type of problem. The emphasis will be on the computational complexity
of the problems: how hard is it to decide if a certain transformation is
possible or not?


title:
High speed nanotribology with quartz crystal resonators via Atomic Force
  Microscopy

abstract:
  Friction measurements in the range of several meters per second are still of
great interests. With the atomic force microscopy (AFM), the oscilaltion
situation of the quartz crystal resonators of 3MHz resonance frequency are
studied. And the oscillation speed could reach up to several m/s. Then the
friction measurements are carried out on the Fischer Pattern, which is prepared
on the quartz crystal resonator. In this article, we present how to measure the
oscillation speeds of the quartz crystal resonator and the friction
measurements under different designs. Calibration method and the calculation
methods are also discussed in details. Although there are errors in the AFM
measurements due to the setup itself and the oscillating quartz which could
highly affect the sharpness of the cantilever tip, the results indicate that
the local friction coefficients with oscillation are higher than that without
oscillation.


title: Can electoral popularity be predicted using socially generated big data?

abstract:
  Today, our more-than-ever digital lives leave significant footprints in
cyberspace. Large scale collections of these socially generated footprints,
often known as big data, could help us to re-investigate different aspects of
our social collective behaviour in a quantitative framework. In this
contribution we discuss one such possibility: the monitoring and predicting of
popularity dynamics of candidates and parties through the analysis of socially
generated data on the web during electoral campaigns. Such data offer
considerable possibility for improving our awareness of popularity dynamics.
However they also suffer from significant drawbacks in terms of
representativeness and generalisability. In this paper we discuss potential
ways around such problems, suggesting the nature of different political systems
and contexts might lend differing levels of predictive power to certain types
of data source. We offer an initial exploratory test of these ideas, focussing
on two data streams, Wikipedia page views and Google search queries. On the
basis of this data, we present popularity dynamics from real case examples of
recent elections in three different countries.

categories: physics.soc-ph cs.CY cs.SI physics.data-an


title: Covering Partial Cubes with Zones

abstract:
  A partial cube is a graph having an isometric embedding in a hypercube.
Partial cubes are characterized by a natural equivalence relation on the edges,
whose classes are called zones. The number of zones determines the minimal
dimension of a hypercube in which the graph can be embedded. We consider the
problem of covering the vertices of a partial cube with the minimum number of
zones. The problem admits several special cases, among which are the problem of
covering the cells of a line arrangement with a minimum number of lines, and
the problem of finding a minimum-size fibre in a bipartite poset. For several
such special cases, we give upper and lower bounds on the minimum size of a
covering by zones. We also consider the computational complexity of those
problems, and establish some hardness results.


title:
Lower semicontinuity of weak supersolutions to the porous medium
  equation

abstract:
  Weak supersolutions to the porous medium equation are defined by means of
smooth test functions under an integral sign. We show that nonnegative weak
supersolutions become lower semicontinuous after redefinition on a set of
measure zero. This shows that weak supersolutions belong to a class of
supersolutions defined by a comparison principle.


title: Simplified Supersymmetry with Sneutrino LSP at 8 TeV LHC

abstract:
  The current searches of supersymmetry (SUSY) are based on the neutralino
lightest sparticle (LSP). In this article we instead focus on SUSY with
sneutrino LSP. It is well motivated in many contexts, especially in which
sneutrino services as a dark matter candidate. We first develop a simplified
model, which contains the stop, chagino/neutralino and sneutrino, to describe
the LHC phenomenologies of a large class of models with sneutrino LSP. Then we
investigate bounds on the model using the SUSY searches at the 8 TeV LHC.
Strong exclusion limits are derived, e.g., masses of stop and chargino can be
excluded up to about 900 GeV and 550 GeV, respectively. We also propose
optimizations for some searches without turning to higher energy and
luminosity.


title: 3D Maps Registration and Path Planning for Autonomous Robot Navigation

abstract:
  Mobile robots dedicated in security tasks should be capable of clearly
perceiving their environment to competently navigate within cluttered areas, so
as to accomplish their assigned mission. The paper in hand describes such an
autonomous agent designed to deploy competently in hazardous environments
equipped with a laser scanner sensor. During the robot's motion, consecutive
scans are obtained to produce dense 3D maps of the area. A 3D point cloud
registration technique is exploited to merge the successively created maps
during the robot's motion followed by an ICP refinement step. The reconstructed
3D area is then top-down projected with great resolution, to be fed in a path
planning algorithm suitable to trace obstacle-free trajectories in the explored
area. The main characteristic of the path planner is that the robot's
embodiment is considered for producing detailed and safe trajectories of $1$
$cm$ resolution. The proposed method has been evaluated with our mobile robot
in several outdoor scenarios revealing remarkable performance.


title: Phase-merging Enhanced Harmonic Generation Free-electron Laser

abstract:
  Together with one of its variants, the recently proposed phase-merging
enhanced harmonic generation (PEHG) free-electron lasers (FELs) have been
systematically studied in this paper. Different form the standard-HGHG, a
transverse gradient undulator is employed for introducing a phase-merging
effect into the transversely dispersed electron beam in PEHG. The analytical
theory of the phase-merging effect and the physical mechanism behind the
phenomenon were presented. Using a representative and realistic set of beam
parameters, intensive start-to-end simulations for soft x-ray FEL generation
were given to illustrate the performance of PEHG. Moreover, some practical
issues that may affect the performance of PEHG were also discussed.


title:
Bilinkage in codimension $3$ and canonical surfaces of degree $18$ in
  $\mathbb{P}^5$

abstract:
  We study the behavior of the bilinkage process in codimension $3$. In
particular, we construct a smooth canonically embedded and linearly normal
surface of general type of degree $18$ in $\mathbb{P}^5$, this is probably the
highest degree such surface may have. Next, we apply our construction to find a
geometric description of Tonoli Calabi--Yau threefolds in $\mathbb{P}^6$.


title:
Accurate reduction of a model of circadian rhythms by delayed quasi
  steady state assumptions

abstract:
  Quasi steady state assumptions are often used to simplify complex systems of
ordinary differential equations in modelling of biochemical processes. The
simplified system is designed to have the same qualitative properties as the
original system and to have a small number of variables. This enables to use
the stability and bifurcation analysis to reveal a deeper structure in the
dynamics of the original system. This contribution shows that introducing
delays to quasi steady state assumptions yields a simplified system that
accurately agrees with the original system not only qualitatively but also
quantitatively. We derive the proper size of the delays for a particular model
of circadian rhythms and present numerical results showing the accuracy of this
approach.


title:
Recent Developments on Hadron Interaction and Dynamically Generated
  Resonances

abstract:
  In this talk I report on the recent developments in the subject of
dynamically generated resonances. In particular I discuss the $\gamma p \to K^0
\Sigma^+$ and $\gamma n \to K^0 \Sigma^0$ reactions, with a peculiar behavior
around the $K^{*0} \Lambda$ threshold, due to a $1/2^-$ resonance around 2035
MeV. Similarly, I discuss a BES experiment, $J/\psi \to \eta K^{*0} \bar
K^{*0}$ decay, which provides evidence for a new $h_1$ resonance around 1830
MeV that was predicted from the vector-vector interaction. A short discussion
is then made about recent advances in the charm and beauty sectors.


title:
Re-infection by untreated partners of people treated for Chlamydia
  trachomatis and Neisseria gonorrhoeae: mathematical modelling study

abstract:
  Objectives: Re-infection after treatment for Chlamydia trachomatis or
Neisseria gonorrhoeae reduces the effect of control interventions. We explored
the impact of delays in partner treatment on the expected probability of
re-infection of index cases using a mathematical model. Methods: We used
previously reported parameter distributions to calculate the probability that
index cases would be re-infected by their untreated partners. We then assumed
different delays between index case and partner treatment to calculate the
probabilities of re-infection. Results: In the absence of partner treatment,
the medians of the expected re-infection probabilities are 19.4% (interquartile
range (IQR) 9.2-31.6%) for chlamydia and 12.5% (IQR 5.6-22.2%) for gonorrhoea.
If all current partners receive treatment three days after the index case, the
expected re-infection probabilities are 4.2% (IQR 2.1-6.9%) for chlamydia and
5.5% (IQR 2.6-9.5%) for gonorrhoea. Conclusions: Quicker partner referral and
treatment can substantially reduce re-infection rates for chlamydia and
gonorrhoea. The formula we used to calculate re-infection rates can be used to
inform the design of randomised controlled trials of novel partner notification
technologies like accelerated partner therapy.


title: A Proposed NFC Payment Application

abstract:
  Near Field Communication (NFC) technology is based on a short range radio
communication channel which enables users to exchange data between devices.
With NFC technology, mobile services establish a contactless transaction system
to make the payment methods easier for people. Although NFC mobile services
have great potential for growth, they have raised several issues which have
concerned the researches and prevented the adoption of this technology within
societies. Reorganizing and describing what is required for the success of this
technology have motivated us to extend the current NFC ecosystem models to
accelerate the development of this business area. In this paper, we introduce a
new NFC payment application, which is based on our previous NFC Cloud Wallet
model to demonstrate a reliable structure of NFC ecosystem. We also describe
the step by step execution of the proposed protocol in order to carefully
analyse the payment application and our main focus will be on the Mobile
Network Operator (MNO) as the main player within the ecosystem.


title: A weak form of Hadwiger's conjecture

abstract:
  We introduce the following weak version of Hadwiger's conjecture: If $G$ is a
graph and $\kappa$ is a cardinal such that there is no coloring map $c:G \to
\kappa$, then $K_\kappa$ is a minor of $G$. We prove that this statement is
true for graphs with infinite chromatic number


title: Mesons, PANDA and the scalar glueball

abstract:
  The non-perturbative nature of Quantum Chromodynamics (QCD) at low energies
has prompted the expectation that the gauge-bosons of QCD -- gluons -- might
give rise to compound objects denoted as glueballs. Experimental signals for
glueballs have represented a matter of research for various collaborations in
the last decades; future research in this direction is a main endeavour planned
by the PANDA Collaboration at FAIR. Hence in this article I review some of the
outstanding issues in the glueball search, particularly with regard to the
ground state -- the scalar glueball, and discuss the relevance for PANDA at
FAIR.


title: A gauge theoretic approach to Einstein 4-manifolds

abstract:
  This article investigates a new gauge theoretic approach to Einstein's
equations in dimension 4. Whilst aspects of the formalism are already explained
in various places in the mathematics and physics literature, our first goal is
to give a single coherent account of the theory in purely mathematical
language. We then explain why the new approach may have important mathematical
applications: the possibility of using the calculus of variations to find
Einstein 4-manifolds, as well as links to symplectic topology. We also carry
out some of the technical groundwork to attack these problems.


title: Warm-viscous inflation model on the brane in the light of BICEP2

abstract:
  In the present work warm inflationary universe model with viscous pressure on
the brane in high-dissipation regime is studied. We derive a condition which is
required for this model to be realizable in slow-roll approximation. We also
present analytic expressions for density perturbation and amplitude of tensor
perturbation in longitudinal gauge. General expressions of tensor-to-scalar
ratio, scalar spectral index and its running are obtained. We develop our model
by using chaotic potential, the characteristics of this model are calculated
for two specific cases: 1- Dissipative parameter $\Gamma$ and bulk viscous
parameter $\zeta$ are constant parameters. 2- Dissipative parameter as a
function of scalar field $\phi$ and bulk viscous parameter as a function of
radiation-matter mixture energy density $\rho$. The parameters of the model are
restricted by WMAP9, Planck and BICEP2 observational data.


title: Gamma-radiation in non-Markovian Fermi systems

abstract:
  The gamma-quanta emission is considered within the framework of the
non--Markovian kinetic theory. It is shown that the memory effects have a
strong influence on the spectral distribution of gamma-quanta in the case of
long-time relaxation regime. It is shown that the gamma-radiation can be used
as a probe for both the time-reversible hindrance force and the dissipative
friction caused by the memory integral.


title:
Robust exponential attractors for the modified phase-field crystal
  equation

abstract:
  We consider the modified phase-field crystal (MPFC) equation that has
recently been proposed by P. Stefanovic et al. This is a variant of the
phase-field crystal (PFC) equation, introduced by K.-R. Elder et al., which is
characterized by the presence of an inertial term $\beta\phi_{tt}$. Here $\phi$
is the phase function standing for the number density of atoms and $\beta\geq
0$ is a relaxation time. The associated dynamical system for the MPFC equation
with respect to the parameter $\beta$ is analyzed. More precisely, we establish
the existence of a family of exponential attractors $\mathcal{M}_\beta$ that
are H\"older continuous with respect to $\beta$.


title: Giant thermovoltage in single InAs-nanowire field-effect transistors

abstract:
  Millivolt range thermovoltage is demonstrated in single InAs-nanowire based
field effect transistors. Thanks to a buried heating scheme, we drive both a
large thermal bias DT>10K and a strong field-effect modulation of electric
conductance on the nanostructures. This allows the precise mapping of the
evolution of the Seebeck coefficient S as a function of the gate-controlled
conductivity between room temperature and 100K$. Based on these experimental
data a novel estimate of the electron mobility is given. This value is compared
with the result of standard field-effect based mobility estimates and discussed
in relation to the effect of charge traps in the devices.


title: Spin Superfluidity in Coplanar Multiferroics

abstract:
  Multiferroics with coplanar magnetic order are discussed in terms of a
superfluid condensate, with special emphasis on spin supercurrents created by
phase gradients of the condensate and the effect of external electric fields.
By drawing the analogy to a superconducting condensate, phenomena such as
persistent currents in rings, the Little-Parks effect, fluxoid quantization,
the Josephson-like effect through spin domain walls, and interference behavior
in a SQUID-like geometry are analyzed for coplanar multiferroics.


title: Low Mass Pseudoscalar Dark Matter in an Extended B - L Model

abstract:
  We study an extended B-L model, which has in its structure four neutral
scalars. In this model, a representative set of parameters enable us to
conclude that one of these scalars is a promising candidate for low-mass dark
matter. We introduce an Z_2 symmetry, which ensure the stability of the dark
matter. The dominant annihilation process will be through $s$-channel exchange
of a scalar in $b\overline{b}$. So, this is also a Higgs portal dark matter
model, but the Higgs decay to dark matter is suppressed and meets the
constraints from invisible decays of Higgs boson. The model is also in
agreement with the constraints established by XENON100, CoGeNT and CDMS
experiments, maching the relic abundance and the cross section with nucleon.


title:
Input-output relations in biological systems: measurement, information
  and the Hill equation

abstract:
  Biological systems produce outputs in response to variable inputs.
Input-output relations tend to follow a few regular patterns. For example, many
chemical processes follow the S-shaped Hill equation relation between input
concentrations and output concentrations. That Hill equation pattern
contradicts the fundamental Michaelis-Menten theory of enzyme kinetics. I use
the discrepancy between the expected Michaelis-Menten process of enzyme
kinetics and the widely observed Hill equation pattern of biological systems to
explore the general properties of biological input-output relations. I start
with the various processes that could explain the discrepancy between basic
chemistry and biological pattern. I then expand the analysis to consider
broader aspects that shape biological input-output relations. Key aspects
include the input-output processing by component subsystems and how those
components combine to determine the system's overall input-output relations.
That aggregate structure often imposes strong regularity on underlying
disorder. Aggregation imposes order by dissipating information as it flows
through the components of a system. The dissipation of information may be
evaluated by the analysis of measurement and precision, explaining why certain
common scaling patterns arise so frequently in input-output relations. I
discuss how aggregation, measurement and scale provide a framework for
understanding the relations between pattern and process. The regularity imposed
by those broader structural aspects sets the contours of variation in biology.
Thus, biological design will also tend to follow those contours. Natural
selection may act primarily to modulate system properties within those broad
constraints.

categories: q-bio.MN cond-mat.stat-mech q-bio.CB q-bio.NC


title:
Entanglement and Correlations near Extremality: CFTs dual to
  Reissner-Nordstr\"om AdS${}_5$

abstract:
  We use the AdS/CFT correspondence to study models of entanglement and
correlations between two $d=4$ CFTs in thermofield double states at finite
chemical potential. Our bulk spacetimes are planar Reissner-Nordstr\"om AdS
black holes. We compute both thermo-mutual information and the two-point
correlators of large-dimension scalar operators, focussing on the
small-temperature behavior -- an infrared limit with behavior similar to that
seen at large times. The interesting feature of this model is of course that
the entropy density remains finite as $T \rightarrow 0$ while the bulk geometry
develops an infinite throat. This leads to a logarithmic divergence in the
scale required for non-zero mutual information between equal-sized strips in
the two CFTs, though the mutual information between one entire CFT and a
finite-sized strip in the other can remain non-zero even at $T=0$. Furthermore,
despite the infinite throat, there can be extremally charged operators for
which the two-point correlations remain finite as $T \rightarrow 0$. This
suggests an interestingly mixed picture in which some aspects of the
entanglement remain localized on scales set by the chemical potential, while
others shift to larger and larger scales. We also comment on implications for
the localized-quasiparticle picture of entanglement.


title: Lepton Flavor Violation in the Scotogenic Model

abstract:
  We investigate lepton flavor violation in the scotogenic model proposed by Ma
in which neutrinos acquire non-zero masses at the 1-loop level. Although some
works exist in this direction, they have mainly focused on the radiative decay
$\ell_\alpha \to \ell_\beta \gamma$. Motivated by the promising new projects
involving other low-energy processes, we derive complete analytical expressions
for $\ell_\alpha \to 3 \, \ell_\beta$ and $\mu-e$ conversion in nuclei, and
numerically study their impact on the phenomenology. We will show that these
processes can actually have rates larger than the one for $\ell_\alpha \to
\ell_\beta \gamma$, thus providing more stringent constraints and better
experimental perspectives.


title:
Predictive Comparative QSAR Analysis Of As 5-Nitofuran-2-YL Derivatives
  Myco bacterium tuberculosis H37RV Inhibitors Bacterium Tuberculosis H37RV
  Inhibitors

abstract:
  Antitubercular activity of 5-nitrofuran-2-yl Derivatives series were
subjected to Quantitative Structure Activity Relationship (QSAR) Analysis with
an effort to derive and understand a correlation between the biological
activity as response variable and different molecular descriptors as
independent variables. QSAR models are built using 40 molecular descriptor
dataset. Different statistical regression expressions were got using Partial
Least Squares (PLS),Multiple Linear Regression (MLR) and Principal Component
Regression (PCR) techniques. The among these technique, Partial Least Square
Regression (PLS) technique has shown very promising result as compared to MLR
technique A QSAR model was build by a training set of 30 molecules with
correlation coefficient ($r^2$) of 0.8484, significant cross validated
correlation coefficient ($q^2$) is 0.0939, F test is 48.5187, ($r^2$) for
external test set (pred$_r^2$) is -0.5604, coefficient of correlation of
predicted data set (pred$_r^2se$) is 0.7252 and degree of freedom is 26 by
Partial Least Squares Regression technique.


title: Detection of the tSZ effect with the NIKA camera

abstract:
  We present the first detection of the thermal Sunyaev-Zel'dovich (tSZ) effect
from a cluster of galaxies performed with a KIDs (Kinetic Inductance Detectors)
based instrument. The tSZ effect is a distortion of the black body CMB (Cosmic
Microwave Background) spectrum produced by the inverse Compton interaction of
CMB photons with the hot electrons of the ionized intra-cluster medium. The
massive, intermediate redshift cluster RX J1347.5-1145 has been observed using
NIKA (New IRAM KIDs arrays), a dual-band (140 and 240 GHz) mm-wave imaging
camera, which exploits two arrays of hundreds of KIDs: the resonant frequencies
of the superconducting resonators are shifted by mm-wave photons absorption.
This tSZ cluster observation demonstrates the potential of the next generation
NIKA2 instrument, being developed for the 30m telescope of IRAM, at Pico Veleta
(Spain). NIKA2 will have 1000 detectors at 140GHz and 2x2000 detectors at
240GHz, providing in that band also a measurement of the linear polarization.
NIKA2 will be commissioned in 2015.


title: The GPDs of The Photon

abstract:
  We report on a recent calculation of the generalized parton distributions
(GPDs) of the photon when the momentum transfer in the transverse direction is
non-zero. We use an overlap representation of the photon GPDs in terms of the
photon light-front wave functions. We calculate the GPDs at leading order in
electromagnetic coupling $\alpha$ and zeroth order in strong coupling
$\alpha_s$. We consider also the case when the helicity of the photon is
flipped. Fourier transform of the GPDs with respect to the transverse momentum
transfer gives the parton distributions of the photon in impact parameter
space.


title: mARC: Memory by Association and Reinforcement of Contexts

abstract:
  This paper introduces the memory by Association and Reinforcement of Contexts
(mARC). mARC is a novel data modeling technology rooted in the second
quantization formulation of quantum mechanics. It is an all-purpose incremental
and unsupervised data storage and retrieval system which can be applied to all
types of signal or data, structured or unstructured, textual or not. mARC can
be applied to a wide range of information clas-sification and retrieval
problems like e-Discovery or contextual navigation. It can also for-mulated in
the artificial life framework a.k.a Conway "Game Of Life" Theory. In contrast
to Conway approach, the objects evolve in a massively multidimensional space.
In order to start evaluating the potential of mARC we have built a mARC-based
Internet search en-gine demonstrator with contextual functionality. We compare
the behavior of the mARC demonstrator with Google search both in terms of
performance and relevance. In the study we find that the mARC search engine
demonstrator outperforms Google search by an order of magnitude in response
time while providing more relevant results for some classes of queries.


title: Large thermal biasing of individual gated nanostructures

abstract:
  We demonstrate a novel nanoheating scheme that yields very large and uniform
temperature gradients up to about 1K every 100nm, in an architecture which is
compatible with the field-effect control of the nanostructure under test. The
temperature gradients demonstrated largely exceed those typically obtainable
with standard resistive heaters fabricated on top of the oxide layer. The
nanoheating platform is demonstrated in the specific case of a short-nanowire
device.


title: The local potential approximation in the background field formalism

abstract:
  Working within the familiar local potential approximation, and concentrating
on the example of a single scalar field in three dimensions, we show that the
commonly used approximation method of identifying the total and background
fields, leads to pathologies in the resulting fixed point structure and the
associated spaces of eigenoperators. We then show how a consistent treatment of
the background field through the corresponding modified shift Ward identity,
can cure these pathologies, restoring universality of physical quantities with
respect to the choice of dependence on the background field, even within the
local potential approximation. Along the way we point out similarities to what
has been previously found in the f(R) approximation in asymptotic safety for
gravity.


title:
Balanced double-loop mesoscopic interferometer based on Josephson
  proximity nanojunctions

abstract:
  We report on the fabrication and characterization of a two-terminal
mesoscopic interferometer based on three V/Cu/V Josephson junctions having
nanoscale cross-section. The junctions have been arranged in a double-ring
geometry realized by metallic thin film deposition through a suspended mask
defined by electron beam lithography. Although a significant amount of
asymmetry between the critical current of each junction is observed we show
that the interferometer is able to suppress the supercurrent to a level lower
than 6 parts per thousand, being here limited by measurement resolution. The
present nano-device is suitable for low-temperature magnetometric and
gradiometric measurements over the micrometric scale.


title:
Canonical polyadic decomposition of third-order tensors: reduction to
  generalized eigenvalue decomposition

abstract:
  Canonical Polyadic Decomposition (CPD) of a third-order tensor is
decomposition in a minimal number of rank-$1$ tensors. We call an algorithm
algebraic if it is guaranteed to find the decomposition when it is exact and if
it only relies on standard linear algebra (essentially sets of linear equations
and matrix factorizations). The known algebraic algorithms for the computation
of the CPD are limited to cases where at least one of the factor matrices has
full column rank. In the paper we present an algebraic algorithm for the
computation of the CPD in cases where none of the factor matrices has full
column rank. In particular, we show that if the famous Kruskal condition holds,
then the CPD can be found algebraically.


title:
Efficient quantum simulation of fermionic and bosonic models in trapped
  ions

abstract:
  We analyze the efficiency of quantum simulations of fermionic and bosonic
models in trapped ions. In particular, we study the optimal time of entangling
gates and the required number of total elementary gates. Furthermore, we
exemplify these estimations in the light of quantum simulations of quantum
field theories, condensed-matter physics, and quantum chemistry. Finally, we
show that trapped-ion technologies are a suitable platform for implementing
quantum simulations involving interacting fermionic and bosonic modes, paving
the way for overcoming classical computers in the near future.


title: Measure synchronization in a two-species bosonic Josephson junction

abstract:
  Measure synchronization (MS) in a two-species bosonic Josephson junction
(BJJ) is studied based on semi-classical theory. Six different scenarios for
MS, including two in the Josephson oscillation regime (0 phase mode) and four
in the self-trapping regime ($\pi$ phase mode), have been clearly shown.
Systematic investigations of the common features behind these different
scenarios have been performed. We show that the average energies of the two
species merge at the MS transition point. The scaling of the power law near the
MS transition has been verified, and the critical exponent is 1/2 for all of
the different scenarios for MS. We also illustrate MS in a three-dimensional
phase space; from this illustration, more detailed information on the dynamical
process can be obtained. Particularly, by analyzing the Poincare sections with
changing interspecies interactions, we find that the two-species BJJ exhibits
separatrix crossing behavior at MS transition point, and such behavior depicts
the general mechanism behind the different scenarios for the MS transitions.
The new critical behavior found in a two-species BJJ is expected to be found in
real systems of atomic Bose gases.


title: Slow sound propagation in lossy locally resonant periodic structures

abstract:
  We investigate the sound propagation in an air-filled tube periodically
loaded with Helmholtz resonators. By tuning the Helmholtz with the Bragg
resonance, we study the efficiency of slow sound propagation in the presence of
the intrinsic viscothermal losses of the system. While in the lossless case the
overlapping of the resonances results in slow sound induced transparency of a
narrow frequency band surrounded by a strong and broadband gap, the inclusion
of the unavoidable losses imposes limits to the slowdown factor and the maximum
transmission. Experiments, theory and finite element simulations have been used
for the characterization of acoustic wave propagation. Experiments, in good
agreement with the lossy theory, reveal the possibility of slowing sound at low
frequencies by 20 times. A trade-off among the relevant parameters (delay time,
maximum transmission, bandwidth) as a function of the tuning between Bragg and
Helmholtz resonance frequency is also presented.


title: Discrete Spacetime and Relativistic Quantum Particles

abstract:
  We study a single quantum particle in discrete spacetime evolving in a causal
way. We see that in the continuum limit any massless particle with a two
dimensional internal degree of freedom obeys the Weyl equation, provided that
we perform a simple relabeling of the coordinate axes or demand rotational
symmetry in the continuum limit. It is surprising that this occurs regardless
of the specific details of the evolution: it would be natural to assume that
discrete evolutions giving rise to relativistic dynamics in the continuum limit
would be very special cases. We also see that the same is not true for
particles with larger internal degrees of freedom, by looking at an example
with a three dimensional internal degree of freedom that is not relativistic in
the continuum limit. In the process we give a formula for the Hamiltonian
arising from the continuum limit of massless and massive particles in discrete
spacetime.


title:
Performance Analysis Of Neural Network Models For Oxazolines And
  Oxazoles Derivatives Descriptor Dataset

abstract:
  Neural networks have been used successfully to a broad range of areas such as
business, data mining, drug discovery and biology. In medicine, neural networks
have been applied widely in medical diagnosis, detection and evaluation of new
drugs and treatment cost estimation. In addition, neural networks have begin
practice in data mining strategies for the aim of prediction, knowledge
discovery. This paper will present the application of neural networks for the
prediction and analysis of antitubercular activity of Oxazolines and Oxazoles
derivatives. This study presents techniques based on the development of Single
hidden layer neural network (SHLFFNN), Gradient Descent Back propagation neural
network (GDBPNN), Gradient Descent Back propagation with momentum neural
network (GDBPMNN), Back propagation with Weight decay neural network (BPWDNN)
and Quantile regression neural network (QRNN) of artificial neural network
(ANN) models Here, we comparatively evaluate the performance of five neural
network techniques. The evaluation of the efficiency of each model by ways of
benchmark experiments is an accepted application. Cross-validation and
resampling techniques are commonly used to derive point estimates of the
performances which are compared to identify methods with good properties.
Predictive accuracy was evaluated using the root mean squared error (RMSE),
Coefficient determination(???), mean absolute error(MAE), mean percentage
error(MPE) and relative square error(RSE). We found that all five neural
network models were able to produce feasible models. QRNN model is outperforms
with all statistical tests amongst other four models.


title: Collective excitations in a large-d model for graphene

abstract:
  We consider a model of Dirac fermions coupled to flexural phonons to describe
a graphene sheet fluctuating in dimension $2+d$. We derive the self-consistent
screening equations for the quantum problem, exact in the limit of large $d$.
We first treat the membrane alone, and work out the quantum to classical, and
harmonic to anharmonic crossover. For the coupled electron-membrane problem we
calculate the dressed two-particle propagators of the elastic and electron
interactions and find that it exhibits a collective mode which becomes unstable
at some wave-vector $q_{\rm c}$ for large enough coupling $g$. The saddle point
analysis, exact at large $d$, indicates that this instability corresponds to
spontaneous and simultaneous appearance of gaussian curvature and electron
puddles. The relevance to ripples in graphene is discussed.


title:
Wave-ray algorithms for Helmholtz equations with variable wave numbers:
  a one-dimensional implementation of two-dimensional ideas

abstract:
  The subject of this paper is multigrid solvers for Helmholtz operators with
large wave numbers. Algorithms presented here are variations of the wave-ray
solver which is modified to allow efficient solutions for operators with
constant, continuous, and discontinuous wave numbers. Both geometric and
algebraic frameworks are employed, all yielding efficient and scalable solvers
at very little additional costs, compared to standard multigrid techniques. The
algorithms are implemented in one dimension, but with a clear extension to
higher dimensions.


title:
A Bayesian approach to accounting for variability in mechanical
  properties in biomaterials

abstract:
  In this paper, we present an approach for modeling bio-tissues that
incorporates the variability in properties as part of their characteristics.
This is achieved by considering the parameters of the model of a biomaterial to
themselves be random variables and represented by a probability distribution
over the space of parameters. This probability distribution is obtained by the
systematic use of Bayesian inference together with a continuum mechanics based
solution of a boundary value problem. We illustrate this approach by
characterizing sheep arteries by using a combination of experimental data and
different hyperelastic models. Furthermore, we also develop a model based
Bayesian classification of new data into different classes based on the
computed model parameter probability distribution.


title:
On Gromov's positive scalar curvature conjecture for virtual duality
  groups

abstract:
  We prove the inequality $$ \dim_{mc}\Wi M\le n-2$$ for the macroscopic
dimension of the universal covers $\Wi M$ of almost spin $n$-manifolds $M$ with
positive scalar curvature whose fundamental group $\pi_1(M)$ is a virtual
duality group that satisfies the coarse Baum-Connes conjecture.


title:
Lattice QCD and QCD Sum Rule determination of the decay constants of
  eta_c, J/psi and hc states

abstract:
  We compute the decay constants of the lowest ccbar-states with quantum
numbers J(PC)=0(-+) [eta_c], 1(--) [J/psi], and 1(+-) [hc] by using lattice QCD
and QCD sum rules. We consider the coupling of J/psi to both the vector and
tensor currents. Lattice QCD results are obtained from the unquenched (Nf=2)
simulations using twisted mass QCD at four lattice spacings, allowing us to
take the continuum limit. On the QCD sum rule side we use the moment sum rules.
  The results are then used to discuss the rate of eta_c --> gamma gamma decay,
and to comment on the factorization in B --> X K decays, with X being either
eta_c or J/psi.


title:
A Robust Missing Value Imputation Method MifImpute For Incomplete
  Molecular Descriptor Data And Comparative Analysis With Other Missing Value
  Imputation Methods

abstract:
  Missing data imputation is an important research topic in data mining.
Large-scale Molecular descriptor data may contains missing values (MVs).
However, some methods for downstream analyses, including some prediction tools,
require a complete descriptor data matrix. We propose and evaluate an iterative
imputation method MiFoImpute based on a random forest. By averaging over many
unpruned regression trees, random forest intrinsically constitutes a multiple
imputation scheme. Using the NRMSE and NMAE estimates of random forest, we are
able to estimate the imputation error. Evaluation is performed on two molecular
descriptor datasets generated from a diverse selection of pharmaceutical fields
with artificially introduced missing values ranging from 10% to 30%. The
experimental result demonstrates that missing values has a great impact on the
effectiveness of imputation techniques and our method MiFoImpute is more robust
to missing value than the other ten imputation methods used as benchmark.
Additionally, MiFoImpute exhibits attractive computational efficiency and can
cope with high-dimensional data.


title: A study of different horizons in inhomogeneous LTB cosmological model

abstract:
  This work deals with a detailed study of the dynamics of the apparent, event
and particle horizons in the background of the inhomogeneous LTB spacetime. The
comparative study among these horizons shows a distinct character for apparent
horizon compared to the other horizons. The apparent horizon will be a trapping
horizon if its acceleration is positive. The Kodama vector is also defined and
its causal character is found to be similar to that in the FRW model.


title:
Identification Of Outliers In Oxazolines AND Oxazoles High Dimension
  Molecular Descriptor Dataset Using Principal Component Outlier Detection
  Algorithm And Comparative Numerical Study Of Other Robust Estimators

abstract:
  From the past decade outlier detection has been in use. Detection of outliers
is an emerging topic and is having robust applications in medical sciences and
pharmaceutical sciences. Outlier detection is used to detect anomalous
behaviour of data. Typical problems in Bioinformatics can be addressed by
outlier detection. A computationally fast method for detecting outliers is
shown, that is particularly effective in high dimensions. PrCmpOut algorithm
make use of simple properties of principal components to detect outliers in the
transformed space, leading to significant computational advantages for high
dimensional data. This procedure requires considerably less computational time
than existing methods for outlier detection. The properties of this estimator
(Outlier error rate (FN), Non-Outlier error rate(FP) and computational costs)
are analyzed and compared with those of other robust estimators described in
the literature through simulation studies. Numerical evidence based Oxazolines
and Oxazoles molecular descriptor dataset shows that the proposed method
performs well in a variety of situations of practical interest. It is thus a
valuable companion to the existing outlier detection methods.


title: Stable immersions in orbifolds

abstract:
  We prove that in any hyperbolic orbifold with one boundary component, the
product of any hyperbolic fundamental group element with a sufficiently large
multiple of the boundary is represented by a geodesic loop that virtually
bounds an immersed surface. In the case that the orbifold is a disk, there are
some conditions. Our results generalize work of Calegari-Louwsma and resolve a
conjecture of Calegari.


title: Extremes of homogeneous Gaussian random fields

abstract:
  Let $\{X(s,t):s,t\geqslant 0\}$ be a centered homogeneous Gaussian field with
a.s. continuous sample paths and correlation function
$r(s,t)=Cov(X(s,t),X(0,0))$ such that
\[r(s,t)=1-|s|^{\alpha_1}-|t|^{\alpha_2}+o(|s|^{\alpha_1}+|t|^{\alpha_2}),
\quad s,t \to 0,\] with $\alpha_1,\alpha_2\in(0,2],$ and $r(s,t)<1$ for
$(s,t)\neq(0,0)$. In this contribution we derive an exact asymptotic expansion
(as $u\to \infty$) of $$\mathbb{P}\left(\sup_{(s n_1(u),t
n_2(u))\in\left[0,x\right]\times\left[0,y\right]}X(s,t)\leqslant u\right),$$
where $n_1(u)n_2(u)=u^{2/\alpha_1+2/\alpha_2}\Psi(u)$, which holds uniformly
for $(x,y) \in [ A , B ]^2$ with $ A , B $ two positive constants and $\Psi$
the survival function of an $N(0,1)$ random variable. We apply our findings to
the analysis of asymptotics of extremes of homogeneous Gaussian fields over
more complex parameter sets and a ball of random radius. Additionally we
determine the extremal index of the discretised random field determined by
$X(s,t)$.


title: On the origin of variable structures in the winds of hot luminous stars

abstract:
  Examination of the temporal variability properties of several strong optical
recombination lines in a large sample of Galactic Wolf-Rayet (WR) stars reveals
possible trends, especially in the more homogeneous WC than the diverse WN
subtypes, of increasing wind variability with cooler subtypes. This could imply
that a serious contender for the driver of the variations is stochastic,
magnetic subsurface convection associated with the 170 kK partial-ionization
zone of iron, which should occupy a deeper and larger zone of greater mass in
cooler WR subtypes. This empirical evidence suggests that the heretofore
proposed ubiquitous driver of wind variability, radiative instabilities, may
not be the only mechanism playing a role in the stochastic multiple
small-scaled structures seen in the winds of hot luminous stars. In addition to
small-scale stochastic behaviour, subsurface convection guided by a global
magnetic field with localized emerging loops may also be at the origin of the
large-scale corotating interaction regions as seen frequently in O stars and
occasionally in the winds of their descendant WR stars.


title: Abridged Petri Nets

abstract:
  A new graphical framework, Abridged Petri Nets (APNs) is introduced for
bottom-up modeling of complex stochastic systems. APNs are similar to
Stochastic Petri Nets (SPNs) in as much as they both rely on component-based
representation of system state space, in contrast to Markov chains that
explicitly model the states of an entire system. In both frameworks, so-called
tokens (denoted as small circles) represent individual entities comprising the
system; however, SPN graphs contain two distinct types of nodes (called places
and transitions) with transitions serving the purpose of routing tokens among
places. As a result, a pair of place nodes in SPNs can be linked to each other
only via a transient stop, a transition node. In contrast, APN graphs link
place nodes directly by arcs (transitions), similar to state space diagrams for
Markov chains, and separate transition nodes are not needed.
  Tokens in APN are distinct and have labels that can assume both discrete
values ("colors") and continuous values ("ages"), both of which can change
during simulation. Component interactions are modeled in APNs using triggers,
which are either inhibitors or enablers (the inhibitors' opposites).
Hierarchical construction of APNs rely on using stacks (layers) of submodels
with automatically matching color policies. As a result, APNs provide at least
the same modeling power as SPNs, but, as demonstrated by means of several
examples, the resulting models are often more compact and transparent,
therefore facilitating more efficient performance evaluation of complex
systems.


title: In search of relativistic time

abstract:
  This paper explores the status of some notions which are usually associated
to time, like datations, chronology, durations, causality, cosmic time and time
functions in the Einsteinian relativistic theories. It shows how, even if some
of these notions do exist in the theory or for some particular solution of it,
they appear usually in mutual conflict: they cannot be synthesized coherently,
and this is interpreted as the impossibility to construct a common entity which
could be called time. This contrasts with the case in Newtonian physics where
such a synthesis precisely constitutes Newtonian time. After an illustration by
comparing the status of time in Einsteinian physics with that of the vertical
direction in Newtonian physics, I will conclude that there is no pertinent
notion of time in Einsteinian theories.


title:
Study Of E-Smooth Support Vector Regression And Comparison With E-
  Support Vector Regression And Potential Support Vector Machines For
  Prediction For The Antitubercular Activity Of Oxazolines And Oxazoles
  Derivatives

abstract:
  A new smoothing method for solving ? -support vector regression (?-SVR),
tolerating a small error in fitting a given data sets nonlinearly is proposed
in this study. Which is a smooth unconstrained optimization reformulation of
the traditional linear programming associated with a ?-insensitive support
vector regression. We term this redeveloped problem as ?-smooth support vector
regression (?-SSVR). The performance and predictive ability of ?-SSVR are
investigated and compared with other methods such as LIBSVM (?-SVR) and P-SVM
methods. In the present study, two Oxazolines and Oxazoles molecular descriptor
data sets were evaluated. We demonstrate the merits of our algorithm in a
series of experiments. Primary experimental results illustrate that our
proposed approach improves the regression performance and the learning
efficiency. In both studied cases, the predictive ability of the ?- SSVR model
is comparable or superior to those obtained by LIBSVM and P-SVM. The results
indicate that ?-SSVR can be used as an alternative powerful modeling method for
regression studies. The experimental results show that the presented algorithm
?-SSVR, plays better precisely and effectively than LIBSVMand P-SVM in
predicting antitubercular activity.


title:
Maturity Model for IT Service Outsourcing in Higher Education
  Institutions

abstract:
  The current success of organizations depends on the successful implementation
of Information and Comunication Technologies (ICTs). Good governance and ICT
management are essential for delivering value, managing technological risks,
managing resources and performance measurement. In addition, outsourcing is a
strategic option which complements IT services provided internally in
organizations. This paper proposes the design of a new holistic maturity model
based on standards ISO/IEC 20000 and ISO/IEC 38500, the frameworks and best
practices of ITIL and COBIT, with a specific focus on IT outsourcing. This
model is validated by practices in the field of higher education, using a
questionnaire and a metrics table among other measurement tools. Models,
standards and guidelines are proposed in the model for facilitating adaptation
to universities and achieving excellence in the outsourcing of IT services. The
applicability of the model allows an effective transition to a model of good
governance and management of outsourced IT services which, aligned with the
core business of universities (teaching, research and innovation), affect the
effectiveness and efficiency of its management, optimizes its value and
minimizes risks.


title:
Description of $\rho (1700)$ as a $\rho K \bar{K}$ system with the fixed
  center approximation

abstract:
  We study the $\rho K\bar{K}$ system with an aim to describe the $\rho (1700)$
resonance. The chiral unitary approach has achieved success in a description of
systems of the light hadron sector. With this method, the $K \bar{K}$ system in
the isospin sector $I=0$, is found to be a dominant component of the $f_0
(980)$ resonance. Therefore, by regarding the $K\bar{K}$ system as a cluster,
the $f_0 (980)$ resonance, we evaluate the $\rho K\bar{K}$ system applying the
fixed center approximation to the Faddeev equations. We construct the $\rho K$
unitarized amplitude using the chiral unitary approach. As a result, we find a
peak in the three-body amplitude around 1739 MeV and a width of about 227 MeV.
The effect of the width of $\rho$ and $f_0 (980)$ is also discussed. We
associate this peak to the $\rho (1700)$ which has a mass of $1720 \pm 20$ MeV
and a width of $250 \pm 100$ MeV.


title:
The scaling limit of the interface of the continuous-space symbiotic
  branching model

abstract:
  The continuous-space symbiotic branching model describes the evolution of two
interacting populations that can reproduce locally only in the simultaneous
presence of each other. If started with complementary Heaviside initial
conditions, the interface where both populations coexist remains compact.
Together with a diffusive scaling property, this suggests the presence of an
interesting scaling limit. Indeed, in the present paper, we show weak
convergence of the diffusively rescaled populations as measure-valued processes
in the Skorokhod, respectively the Meyer-Zheng, topology (for suitable
parameter ranges). The limit can be characterized as the unique solution to a
martingale problem and satisfies a "separation of types" property. This
provides an important step toward an understanding of the scaling limit for the
interface. As a corollary, we obtain an estimate on the moments of the width of
an approximate interface.


title: Micro-Arcsecond Radio Astrometry

abstract:
  Astrometry provides the foundation for astrophysics. Accurate positions are
required for the association of sources detected at different times or
wavelengths, and distances are essential to estimate the size, luminosity,
mass, and ages of most objects. Very Long Baseline Interferometry at radio
wavelengths, with diffraction-limited imaging at sub-milliarcsec resolution,
has long held the promise of micro-arcsecond astrometry. However, only in the
past decade has this been routinely achieved. Currently, parallaxes for sources
across the Milky Way are being measured with ~10 uas accuracy and proper
motions of galaxies are being determined with accuracies of ~1 uas/y. The
astrophysical applications of these measurements cover many fields, including
star formation, evolved stars, stellar and super-massive black holes, Galactic
structure, the history and fate of the Local Group, the Hubble constant, and
tests of general relativity. This review summarizes the methods used and the
astrophysical applications of micro-arcsecond radio astrometry.


title: A new method for constructing Anosov Lie algebras

abstract:
  It is conjectured that every manifold admitting an Anosov diffeomorphism is,
up to homeomorphism, finitely covered by a nilmanifold. Motivated by this
conjecture, an important problem is to determine which nilmanifolds admit an
Anosov diffeomorphism. The main theorem of this article gives a general method
for constructing Anosov diffeomorphisms on nilmanifolds. As a consequence, we
give counterexamples to a corollary of the classification of low-dimensional
nilmanifolds with Anosov diffeomorphisms and a correction to this statement is
proven. This method also answers some open questions about the existence of
Anosov diffeomorphisms which are minimal in some sense.


title: Efficient Random-Walk Methods for Approximating Polytope Volume

abstract:
  We experimentally study the fundamental problem of computing the volume of a
convex polytope given as an intersection of linear inequalities. We implement
and evaluate practical randomized algorithms for accurately approximating the
polytope's volume in high dimensions (e.g. one hundred). To carry out this
efficiently we experimentally correlate the effect of parameters, such as
random walk length and number of sample points, on accuracy and runtime.
Moreover, we exploit the problem's geometry by implementing an iterative
rounding procedure, computing partial generations of random points and
designing fast polytope boundary oracles. Our publicly available code is
significantly faster than exact computation and more accurate than existing
approximation methods. We provide volume approximations for the Birkhoff
polytopes B_11,...,B_15, whereas exact methods have only computed that of B_10.


title: Nucleon generalized form factors with twisted mass fermions

abstract:
  We present results on the nucleon form factors, momentum fraction and
helicity moment for $N_f=2$ and $N_f=2+1+1$ twisted mass fermions for a number
of lattice volumes and lattice spacings. First results for a new $N_f=2$
ensemble at the physical pion mass are also included. The implications of these
results on the spin content of the nucleon are discussed taking into account
the disconnected contributions at one pion mass.


title:
Generation of all sets of mutually unbiased bases for three-qubit
  systems

abstract:
  We propose a new method of finding the mutually unbiased bases for three
qubits. The key element is the construction of the table of
striation-generating curves in the discrete phase space. We derive a system of
equations in the Galois field GF(8) and show that the solutions of these
equations are sufficient for the construction of the general sets of complete
mutually unbiased bases. A few examples are presented in order to show how our
algorithm works in the cases: striation table with three, two axes, and one and
no axis in the discrete phase space.


title:
Spectrum splitting of bimagnon excitations in a spatially frustrated
  Heisenberg antiferromagnet revealed by resonant inelastic x-ray scattering

abstract:
  We perform a comprehensive analysis of the bimagnon resonant inelastic x-ray
scattering (RIXS) intensity spectra of the spatially frustrated Jx-Jy-J2
Heisenberg model on a square lattice in both the antiferromagnetic and the
collinear antiferromagnetic phase. We study the model for strong frustration
and significant spatial anisotropy to highlight the key signatures of RIXS
spectrum splitting which may be experimentally discernible. Based on an
interacting spin wave theory study within the ladder approximation
Bethe-Salpeter scheme, we find the appearance of a robust two-peak structure
over a wide range of the transferred momenta in both magnetically ordered
phases. The unfrustrated model has a single-peak structure with a two-peak
splitting originating due to spatial anisotropy and frustrated interactions.
Our predicted two-peak structure from both magnetically ordered regime can be
realized in iron pnictides.


title:
Automated Classification of L/R Hand Movement EEG Signals using Advanced
  Feature Extraction and Machine Learning

abstract:
  In this paper, we propose an automated computer platform for the purpose of
classifying Electroencephalography (EEG) signals associated with left and right
hand movements using a hybrid system that uses advanced feature extraction
techniques and machine learning algorithms. It is known that EEG represents the
brain activity by the electrical voltage fluctuations along the scalp, and
Brain-Computer Interface (BCI) is a device that enables the use of the brain
neural activity to communicate with others or to control machines, artificial
limbs, or robots without direct physical movements. In our research work, we
aspired to find the best feature extraction method that enables the
differentiation between left and right executed fist movements through various
classification algorithms. The EEG dataset used in this research was created
and contributed to PhysioNet by the developers of the BCI2000 instrumentation
system. Data was preprocessed using the EEGLAB MATLAB toolbox and artifacts
removal was done using AAR. Data was epoched on the basis of Event-Related (De)
Synchronization (ERD/ERS) and movement-related cortical potentials (MRCP)
features. Mu/beta rhythms were isolated for the ERD/ERS analysis and delta
rhythms were isolated for the MRCP analysis. The Independent Component Analysis
(ICA) spatial filter was applied on related channels for noise reduction and
isolation of both artifactually and neutrally generated EEG sources. The final
feature vector included the ERD, ERS, and MRCP features in addition to the
mean, power and energy of the activations of the resulting independent
components of the epoched feature datasets. The datasets were inputted into two
machine-learning algorithms: Neural Networks (NNs) and Support Vector Machines
(SVMs). Intensive experiments were carried out and optimum classification
performances of 89.8 and 97.1 were obtained using NN and SVM, respectively.


title: Status of three-neutrino oscillation parameters, circa 2013

abstract:
  The standard three-neutrino (3nu) oscillation framework is being increasingly
refined by results coming from different sets of experiments, using neutrinos
from solar, atmospheric, accelerator and reactor sources. At present, each of
the known oscillation parameters [the two squared mass gaps (delta m^2, Delta
m^2) and the three mixing angles (theta_12}, theta_13, theta_23)] is dominantly
determined by a single class of experiments. Conversely, the unknown parameters
[the mass hierarchy, the theta_23 octant and the CP-violating phase delta] can
be currently constrained only through a combined analysis of various
(eventually all) classes of experiments. In the light of recent new results
coming from reactor and accelerator experiments, and of their interplay with
solar and atmospheric data, we update the estimated N-sigma ranges of the known
3nu parameters, and revisit the status of the unknown ones. Concerning the
hierarchy, no significant difference emerges between normal and inverted mass
ordering. A slight overall preference is found for theta_23 in the first octant
and for nonzero CP violation with sin delta < 0; however, for both parameters,
such preference exceeds 1 sigma only for normal hierarchy. We also discuss the
correlations and stability of the oscillation parameters within different
combinations of data sets.


title:
Determining the long-term behavior of cell populations: A new procedure
  for detecting ergodicity in large stochastic reaction networks

abstract:
  A reaction network consists of a finite number of species, which interact
through predefined reaction channels. Traditionally such networks were modeled
deterministically, but it is now well-established that when reactant copy
numbers are small, the random timing of the reactions create internal noise
that can significantly affect the macroscopic properties of the system. To
understand the role of noise and quantify its effects, stochastic models are
necessary. In the stochastic setting, the population is described by a
probability distribution, which evolves according to a set of ordinary
differential equations known as the Chemical Master Equation (CME). This set is
infinite in most cases making the CME practically unsolvable. In many
applications, it is important to determine if the solution of a CME has a
globally attracting fixed point. This property is called ergodicity and its
presence leads to several important insights about the underlying dynamics. The
goal of this paper is to present a simple procedure to verify ergodicity in
stochastic reaction networks. We provide a set of simple linear-algebraic
conditions which are sufficient for the network to be ergodic. In particular,
our main condition can be cast as a Linear Feasibility Problem (LFP) which is
essentially the problem of determining the existence of a vector satisfying
certain linear constraints. The inherent scalability of LFPs make our approach
efficient, even for very large networks. We illustrate our procedure through an
example from systems biology.