title: Electromagnetic Force on a Brane

abstract:
  A fundamental assumption in the theory of brane world is that all matter and
radiation are confined on the four-dimensional brane and only gravitons can
propagate in the five-dimensional bulk spacetime. The brane world theory did
not provide an explanation for the existence of electromagnetic fields and the
origin of the electromagnetic field equation. In this paper, we propose a model
for explaining the existence of electromagnetic fields on a brane and deriving
the electromagnetic field equation. Similar to the case in Kaluza-Klein theory,
we find that electromagnetic fields and the electromagnetic field equation can
be derived from the five-dimensional Einstein field equation. However, the
derived electromagnetic field equation differs from the Maxwell equation by
containing a term with the electromagnetic potential vector coupled to the
spacetime curvature tensor. So it can be considered as generalization of the
Maxwell equation in a curved spacetime. The gravitational field equation on the
brane is also derived with the stress-energy tensor for electromagnetic fields
explicitly included and the Weyl tensor term explicitly expressed with matter
fields and their derivatives in the direction of the extra-dimension. The model
proposed in the paper can be regarded as unification of electromagnetic and
gravitational interactions in the framework of brane world theory.


title: OPML: A One-Pass Closed-Form Solution for Online Metric Learning

abstract:
  To achieve a low computational cost when performing online metric learning
for large-scale data, we present a one-pass closed-form solution namely OPML in
this paper. Typically, the proposed OPML first adopts a one-pass triplet
construction strategy, which aims to use only a very small number of triplets
to approximate the representation ability of whole original triplets obtained
by batch-manner methods. Then, OPML employs a closed-form solution to update
the metric for new coming samples, which leads to a low space (i.e., $O(d)$)
and time (i.e., $O(d^2)$) complexity, where $d$ is the feature dimensionality.
In addition, an extension of OPML (namely COPML) is further proposed to enhance
the robustness when in real case the first several samples come from the same
class (i.e., cold start problem). In the experiments, we have systematically
evaluated our methods (OPML and COPML) on three typical tasks, including UCI
data classification, face verification, and abnormal event detection in videos,
which aims to fully evaluate the proposed methods on different sample number,
different feature dimensionalities and different feature extraction ways (i.e.,
hand-crafted and deeply-learned). The results show that OPML and COPML can
obtain the promising performance with a very low computational cost. Also, the
effectiveness of COPML under the cold start setting is experimentally verified.


title:
A linear programming based heuristic framework for min-max regret
  combinatorial optimization problems with interval costs

abstract:
  This work deals with a class of problems under interval data uncertainty,
namely interval robust-hard problems, composed of interval data min-max regret
generalizations of classical NP-hard combinatorial problems modeled as 0-1
integer linear programming problems. These problems are more challenging than
other interval data min-max regret problems, as solely computing the cost of
any feasible solution requires solving an instance of an NP-hard problem. The
state-of-the-art exact algorithms in the literature are based on the generation
of a possibly exponential number of cuts. As each cut separation involves the
resolution of an NP-hard classical optimization problem, the size of the
instances that can be solved efficiently is relatively small. To smooth this
issue, we present a modeling technique for interval robust-hard problems in the
context of a heuristic framework. The heuristic obtains feasible solutions by
exploring dual information of a linearly relaxed model associated with the
classical optimization problem counterpart. Computational experiments for
interval data min-max regret versions of the restricted shortest path problem
and the set covering problem show that our heuristic is able to find optimal or
near-optimal solutions and also improves the primal bounds obtained by a
state-of-the-art exact algorithm and a 2-approximation procedure for interval
data min-max regret problems.


title: Optimally Influencing Complex Ising Systems

abstract:
  In the study of social networks, a fundamental problem is that of influence
maximization (IM): How can we maximize the collective opinion of individuals in
a network given constrained marketing resources? Traditionally, the IM problem
has been studied in the context of contagion models, which treat opinions as
irreversible viruses that propagate through the network. To study reverberant
opinion dynamics, which yield complex macroscopic behavior, the IM problem has
recently been proposed in the context of the Ising model of opinion dynamics,
in which individual opinions are treated as spins in an Ising system. In this
paper, we are among the first to explore the \textit{Ising influence
maximization (IIM)} problem, which has a natural physical interpretation as the
maximization of the magnetization given a budget of external magnetic field,
and we are the first to consider the IIM problem in general Ising systems with
negative couplings and negative external fields. For a general Ising system, we
show analytically that the optimal external field (i.e., that which maximizes
the magnetization) exhibits a phase shift from intuitively focusing on
high-degree nodes at high temperatures to counterintuitively focusing on
"loosely-connected" nodes, which are weakly energetically bound to the ground
state, at low temperatures. We also present a novel and efficient algorithm for
solving IIM with provable performance guarantees for ferromagnetic systems in
nonnegative external fields. We apply our algorithm on large random and
real-world networks, verifying the existence of phase shifts in the optimal
external fields and comparing the performance of our algorithm with the
state-of-the-art mean-field-based algorithm.


title:
Linking stem density, stem size and spatial arrangement: an approach to
  model discriminative self-thinning in even-aged forest stands

abstract:
  To model discriminative, i.e. competition induced, self-thinning in even-aged
forest stands a concept has been explored that discriminative mortality alters
spatial arrangement of trees which in turn alters the mortality. Function of
density was suggested to be a balance of initial density minus mortality that
was dependent on initial spatial arrangement and mean horizontal size in the
forest stand. Assuming initial spatial arrangement to be aggregation and
performing normalizations gave the self-thinning function depending on only two
parameters, initial stem density and maximal horizontal size (represented by
stem diameter). Normalizations included integral of probability of trees to
collide to be unity and stem density at maximal size to be zero. The
self-thinning function obtained has been shown to successfully capture
non-linear self-thinning dynamics in Douglas-fir long-term experiments in which
competition-induced mortality prevailed.


title:
Double shuffle relations for q-analogues of multiple zeta values, their
  derivatives and the connection to multiple Eisenstein series

abstract:
  We study a certain class of q-analogues of multiple zeta values, which appear
in the Fourier expansion of multiple Eisenstein series. Studying their
algebraic structure and their derivatives we propose conjectured explicit
formulas for the derivatives of double and triple Eisenstein series.


title:
Numerical and analytical solutions of Neutrino-Dominated Accretion Flows
  with a Non-Zero Torque Boundary Condition and its applications in Gamma-ray
  Bursts

abstract:
  A stellar mass black hole (BH) surrounded by a neutrino-dominated accretion
flow (NDAF) has been discussed in a number of works as the central engine of
gamma-ray bursts (GRBs). It is widely believed that NDAF cannot liberate enough
energy for bright GRBs. However, these works have been based on the assumption
of "no torque" boundary condition, which is invalid when the disk is
magnetized. In this paper, we present both numerical and analytical solutions
for NDAFs with non-zero boundary stresses, and reexamine their properties. We
find that NDAF with such boundary torque can be powerful enough to account for
those bright short GRBs, energetic long GRBs and ultra-long GRBs. The disk
becomes viscously unstable, which makes it possible to interpret the
variability of GRB prompt emission and the steep decay phase in the early X-ray
afterglow. Finally, we study the gravitational waves radiated from a processing
BH-NDAF. We find that the effects of the boundary torque on the strength of the
gravitational waves can be ignored.


title: Quantum Secure Direct Communication with Quantum Memory

abstract:
  Quantum communication provides an absolute security advantage, and it has
been widely developed over the past 30 years. As an important branch of quantum
communication, quantum secure direct communication (QSDC) promotes high
security and instantaneousness in communication through directly transmitting
messages over a quantum channel. The full implementation of a quantum protocol
always requires the ability to control the transfer of a message effectively in
the time domain; thus, it is essential to combine QSDC with quantum memory to
accomplish the communication task. In this paper, we report the experimental
demonstration of QSDC with state-of-the-art atomic quantum memory for the first
time in principle. We used the polarization degrees of freedom of photons as
the information carrier, and the fidelity of entanglement decoding was verified
as approximately 90%. Our work completes a fundamental step toward practical
QSDC and demonstrates a potential application for long-distance quantum
communication in a quantum network.


title:
Indo-Pacific variability on seasonal to multidecadal timescales. Part
  II: Multiscale atmosphere-ocean linkages

abstract:
  The coupled atmosphere-ocean variability of the Indo-Pacific on interannual
to multidecadal timescales is investigated in a millennial control run of CCSM4
and in observations using a family of modes recovered in Part~I of this work
from unprocessed SST data through nonlinear Laplacian spectral analysis (NLSA).
It is found that ENSO and combination modes of ENSO with the annual cycle
exhibit a seasonally synchronized southward shift of equatorial surface zonal
winds and thermocline adjustment consistent with terminating El Nino and La
Nina events. The surface wind patterns associated with these modes also
generate teleconnections between the Pacific and Indian Oceans, leading to a
pattern of SST anomalies characteristic of the Indian Ocean dipole. Fundamental
and combination modes representing the tropospheric biennial oscillation (TBO)
in CCSM4 are also found to be consistent with mechanisms for seasonally
synchronized biennial variability of the Asian-Australian monsoon and Walker
circulation. On longer timescales, the leading multidecadal pattern recovered
by NLSA from Indo-Pacific SST data in CCSM4, referred to as west Pacific
multidecadal mode (WPMM), is found to significantly modulate ENSO and TBO
activity with periods of negative SST anomalies in the western tropical Pacific
favoring stronger ENSO and TBO variability. Physically, this behavior is
attributed to the fact that cold WPMM phases feature anomalous decadal
westerlies in the tropical central Pacific and easterlies in the tropical
Indian Ocean, as well as an anomalously deep thermocline in the eastern Pacific
cold tongue. Moreover, despite the relatively low SST variance explained by
this mode, the WPMM is found to correlate significantly with decadal
precipitation over Australia in CCSM4.


title: Dynamically distinguishing polynomials

abstract:
  A polynomial with integer coefficients yields a family of dynamical systems
indexed by primes as follows: for any prime $p$, reduce its coefficients mod
$p$ and consider its action on the field $\mathbb{F}_p$. We say a subset of
$\mathbb{Z}[x]$ is dynamically distinguishable mod $p$ if the associated mod
$p$ dynamical systems are pairwise non-isomorphic. For any
$k,M\in\mathbb{Z}_{>1}$, we prove that there are infinitely many sets of
integers $\mathcal{M}$ of size $M$ such that $\left\{ x^k+m\mid
m\in\mathcal{M}\right\}$ is dynamically distinguishable mod $p$ for most $p$
(in the sense of natural density). Our proof uses the Galois theory of
dynatomic polynomials largely developed by Morton, who proved that the Galois
groups of these polynomials are often isomorphic to a particular family of
wreath products. In the course of proving our result, we generalize Morton's
work and compute statistics of these wreath products.


title:
Dissociation of large transverse-momentum prompt J/psi produced in Pb-Pb
  collisions at the LHC

abstract:
  A collision of a light meson and a charmonium produces quarks and antiquarks
first, then the charm quark fragments into a charmed hadron, and finally three
or more mesons are produced. This is the mechanism that we consider and propose
to understand the prompt-J/psi nuclear modification factor in the range of
J/psi transverse momentum from 10 GeV/c to 18 GeV/c, as measured by the CMS
Collaboration and the ATLAS Collaboration. Unpolarized cross sections are
derived and calculated for the reactions pion+charmonium ->H_c+X with H_c being
a charmed meson. Numerical cross sections are parametrized and used to
calculate the dissociation rate of charmonium in the interaction with pions in
hadronic matter. The momentum dependence of the rate obtained is so as to lead
to a decreasing charmonium nuclear modification factor with increasing
transverse momentum.


title:
Topic Browsing for Research Papers with Hierarchical Latent Tree
  Analysis

abstract:
  Academic researchers often need to face with a large collection of research
papers in the literature. This problem may be even worse for postgraduate
students who are new to a field and may not know where to start. To address
this problem, we have developed an online catalog of research papers where the
papers have been automatically categorized by a topic model. The catalog
contains 7719 papers from the proceedings of two artificial intelligence
conferences from 2000 to 2015. Rather than the commonly used Latent Dirichlet
Allocation, we use a recently proposed method called hierarchical latent tree
analysis for topic modeling. The resulting topic model contains a hierarchy of
topics so that users can browse the topics from the top level to the bottom
level. The topic model contains a manageable number of general topics at the
top level and allows thousands of fine-grained topics at the bottom level. It
also can detect topics that have emerged recently.


title: Learning Sentence Representation with Guidance of Human Attention

abstract:
  Recently, much progress has been made in learning general-purpose sentence
representations that can be used across domains. However, most of the existing
models typically treat each word in a sentence equally. In contrast, extensive
studies have proven that human read sentences efficiently by making a sequence
of fixation and saccades. This motivates us to improve sentence representations
by assigning different weights to the vectors of the component words, which can
be treated as an attention mechanism on single sentences. To that end, we
propose two novel attention models, in which the attention weights are derived
using significant predictors of human reading time, i.e., Surprisal, POS tags
and CCG supertags. The extensive experiments demonstrate that the proposed
methods significantly improve upon the state-of-the-art sentence representation
models.


title:
Scaling of quantum correlation and monogamy relation near a quantum
  phase transitions in two-dimensional XY spin system

abstract:
  The purpose of the paper is mainly to investigate the quantum critical
behavior of two-dimensional XY spin system by calculating quantum correlation
and monogamy relation through implementation of quantum renormalization group
theory. Numerical analysis indicates that quantum correlation as well as
quantum nonlocality can be used to efficiently detect the quantum critical
property in two-dimensional XY spin system. The nonanalytic behavior of the
first derivative of quantum correlation approaches infinity and the critical
point is reached as the size of the model increases. Furthermore, we discuss
the quantum correlation distribution in this model based on square of
concurrence (SC) and square of quantum discord (SQD). The monogamous properties
of SC and SQD are obtained for the present system. We finally reveal that the
monogamy score can be used to capture the quantum critical point.


title:
Dynamical analysis of quantum linear systems driven by multi-channel
  multi-photon states

abstract:
  In this paper, we investigate the dynamics of quantum linear systems where
the input signals are multi-channel multi-photon states, namely states
determined by a definite number of photons superposed in multiple input
channels. In contrast to most existing studies on separable input states in the
literature, we allow the existence of quantum correlation (for example quantum
entanglement) in these multi-channel multi-photon input states. Due to the
prevalence of quantum correlations in the quantum regime, the results presented
in this paper are very general. Moreover, the multi-channel multi-photon states
studied here are reasonably mathematically tractable. Three types of
multi-photon states are considered: 1) $m$ photons superposed among $m$
channels, 2) $N$ photons superposed among $m$ channels where $N\geq m$, and 3)
$N$ photons superposed among $m$ channels where $N$ is an arbitrary positive
integer. Formulae for intensities and states of output fields are derived.
Examples are used to demonstrate the effectiveness of the results.


title: A C^0 counterexample to the Arnold conjecture

abstract:
  The Arnold conjecture states that a Hamiltonian diffeomorphism of a closed
and connected symplectic manifold must have at least as many fixed points as
the minimal number of critical points of a smooth function on the manifold.
  It is well known that the Arnold conjecture holds for Hamiltonian
homeomorphisms of closed symplectic surfaces. The goal of this paper is to
provide a counterexample to the Arnold conjecture for Hamiltonian
homeomorphisms in dimensions four and higher.
  More precisely, we prove that every closed and connected symplectic manifold
of dimension at least four admits a Hamiltonian homeomorphism with a single
fixed point.


title:
Quantum field theory and renormalization \`a la
  St\"uckelberg-Petermann-Epstein-Glaser

abstract:
  The problem of renormalization in perturbative quantum field theory (pQFT)
can be described in a rigorous way through the theory of extension of
distributions. In the framework of pQFT a certain type of distribution appears,
given by products of Green functions which act by integration with a test
function. They present ultraviolet divergences, whenever any pair of arguments
coincide on one point of spacetime, and therefore, they are not defined
everywhere. In this work we have studied the necessary and sufficient
conditions for the extension (or regularization) of this type of distribution.
Moreover, we have constructed such extensions explicitly, satisfying a series
of physically relevant axioms, such as the axiom of causality.


title: Multi Model Data mining approach for Heart failure prediction

abstract:
  Developing predictive modelling solutions for risk estimation is extremely
challenging in health-care informatics. Risk estimation involves integration of
heterogeneous clinical sources having different representation from different
health-care provider making the task increasingly complex. Such sources are
typically voluminous, diverse, and significantly change over the time.
Therefore, distributed and parallel computing tools collectively termed big
data tools are in need which can synthesize and assist the physician to make
right clinical decisions. In this work we propose multi-model predictive
architecture, a novel approach for combining the predictive ability of multiple
models for better prediction accuracy. We demonstrate the effectiveness and
efficiency of the proposed work on data from Framingham Heart study. Results
show that the proposed multi-model predictive architecture is able to provide
better accuracy than best model approach. By modelling the error of predictive
models we are able to choose sub set of models which yields accurate results.
More information was modelled into system by multi-level mining which has
resulted in enhanced predictive accuracy.


title:
Limit cycle bifurcations near a double homoclinic loop with a nilpotent
  saddle of order 2

abstract:
  In this paper, we deal with limit cycle bifurcations near a double homoclinic
loop with a nilpotent saddle of order 2 by studying expansions of the first
order Melnikov functions near the loop and coefficients in these expansions.
More precisely, we prove that the perturbed system can have 11, 13, 14 or 16
limit cycles in a neighborhood of the loop under certain conditions. Finally,
we give an example to illustrate the effectiveness of our main results.


title: EXTRACT: Strong Examples from Weakly-Labeled Sensor Data

abstract:
  Thanks to the rise of wearable and connected devices, sensor-generated time
series comprise a large and growing fraction of the world's data.
Unfortunately, extracting value from this data can be challenging, since
sensors report low-level signals (e.g., acceleration), not the high-level
events that are typically of interest (e.g., gestures). We introduce a
technique to bridge this gap by automatically extracting examples of real-world
events in low-level data, given only a rough estimate of when these events have
taken place.
  By identifying sets of features that repeat in the same temporal arrangement,
we isolate examples of such diverse events as human actions, power consumption
patterns, and spoken words with up to 96% precision and recall. Our method is
fast enough to run in real time and assumes only minimal knowledge of which
variables are relevant or the lengths of events. Our evaluation uses numerous
publicly available datasets and over 1 million samples of manually labeled
sensor data.


title: Diagnostic of Horndeski Theories

abstract:
  We study the effects of Horndeski models of dark energy on the observables of
the large-scale structure in the late time universe. A novel classification
into {\it Late dark energy}, {\it Early dark energy} and {\it Early modified
gravity} scenarios is proposed, according to whether such models predict
deviations from the standard paradigm persistent at early time in the matter
domination epoch. We discuss the physical imprints left by each specific class
of models on the effective Newton constant $\mu$, the gravitational slip
parameter $\eta$, the light deflection parameter $\Sigma$ and the growth
function $f\sigma_8$ and demonstrate that a convenient way to dress a complete
portrait of the viability of the Horndeski accelerating mechanism is via two,
redshift-dependent, diagnostics: the $\mu(z)-\Sigma(z)$ and the
$f\sigma_8(z)-\Sigma(z)$ planes. If future, model-independent, measurements
point to either $\Sigma-1<0$ at redshift zero or $\mu-1<0$ with $\Sigma-1>0$ at
high redshifts or $\mu-1>0$ with $\Sigma-1<0$ at high redshifts, Horndeski
theories are effectively ruled out. If $f\sigma_8$ is measured to be larger
than expected in a $\Lambda$CDM model at $z>1.5$ then Early dark energy models
are definitely ruled out. On the opposite case, Late dark energy models are
rejected by data if $\Sigma<1$, while, if $\Sigma>1$, only Early modifications
of gravity provide a viable framework to interpret data.


title:
Enhancement of critical current densities in (Ba,K)Fe2As2 wires and
  tapes using HIP technique

abstract:
  (Ba,K)Fe2As2 superconducting wires and tapes are fabricated by using hot
isostatic pressing (HIP) technique, and their superconducting properties are
studied. In the HIP round wire, transport critical current density (Jc) at 4.2
K has achieved record-high value of 175 kA/cm2 at zero field, and exceeds 20
kA/cm2 even at 100 kOe. Improvement of polycrystalline powder synthesis may
play a key role for the enhancement of Jc. In the HIP tape, even larger
transport Jc of 380 kA/cm2 is realized at zero field. Based on magnetization
and magneto-optical measurements, possible further enhancement of Jc is
discussed.


title: Structure-Aware Classification using Supervised Dictionary Learning

abstract:
  In this paper, we propose a supervised dictionary learning algorithm that
aims to preserve the local geometry in both dimensions of the data. A
graph-based regularization explicitly takes into account the local manifold
structure of the data points. A second graph regularization gives similar
treatment to the feature domain and helps in learning a more robust dictionary.
Both graphs can be constructed from the training data or learned and adapted
along the dictionary learning process. The combination of these two terms
promotes the discriminative power of the learned sparse representations and
leads to improved classification accuracy. The proposed method was evaluated on
several different datasets, representing both single-label and multi-label
classification problems, and demonstrated better performance compared with
other dictionary based approaches.


title: Effects of Iodine Annealing on Fe1+yTe0.6Se0.4

abstract:
  Effects of iodine annealing to induce bulk superconductivity in
Fe1+yTe0.6Se0.4 have been systematically studied by changing the molar ratio of
iodine to the sample and annealing temperature. The optimal condition to induce
bulk superconductivity with Tc ~14.5 K and self-field Jc(2 K) ~ 5x10^5 A/cm2 is
found to be a molar ratio of iodine of 5-7 % at the annealing temperature of
400 C. Furthermore, the fact that no compounds containing iodine are detected
in the crystal and a significant amount of FeTe2 is produced after the iodine
annealing strongly indicate that the excess iron is consumed to form FeTe2 and
iodine works as a catalyst in this process.


title:
Predictions for $\eta_c \to \eta \pi^+ \pi^-$ producing $f_0(500)$,
  $f_0(980)$ and $a_0(980)$

abstract:
  We perform calculations for the $\eta_c \to \eta \pi^+ \pi^-$ decay using
elements of SU(3) symmetry to see the weight of different trios of
pseudoscalars produced in this decay, prior to the final state interaction of
the mesons. After that, the interaction of pairs of mesons, leading finally to
$\eta \pi^+ \pi^-$, is done using the chiral unitary approach. We evaluate the
$\pi^+ \pi^-$ and $\pi \eta$ mass distributions and find large and clear
signals for $f_0(500)$, $f_0(980)$ and $a_0(980)$ excitation. The reaction is
similar to the $\chi_{c1} \to \eta \pi^+ \pi^-$, which has been recently
measured at BESIII and its implementation and comparison with these predictions
will be very valuable to shed light on the nature of the low mass scalar
mesons.


title:
Transcriptional and translational regulation in Arc protein network of
  Escherichia coli's stress response

abstract:
  Recently, there has been a lot of effort in understanding sRNA mediated
regulation of gene expression and how this mode of regulation differs from
transcriptional regulation.In E.coli, in the presence of oxidative stress, the
synthesis of sigma^s is regulated through an interesting mechanism involving
both transcriptional and sRNA-mediated translational regulation. The key
regulatory factors involved in transcriptional and translational regulation are
ArcA and ArcB proteins and ArcZ sRNA, respectively. Phosphorylated ArcA, in a
feedforward mechanism, represses the transcriptions sigma^s and ArcZ sRNA with
the latter being a post-transcriptional activator for sigma^s. Through a
feedback mechanisms, ArcZ sRNA destabilises ArcB mRNA and regulates the level
of ArcB protein, a kinase that phosphorylates ArcA. The oxygen and energy
availability is expected to influence the ArcA phosphorylation rate and, as a
consequence, in equilibrium, the system is likely to be in either a high ArcB
(low ArcZ) or a low ArcB (high ArcZ) state. Kinetic modelling studies suggest
that the rate of destabilisation of ArcB mRNA by ArcZ sRNA must be
appropriately tuned for achieving the desired state. In particular, for a high
phosphorylation rate, the transition from a low to a high ArcZ synthesis regime
with the increase in sRNA-mRNA interaction is similar to the threshold-linear
response observed earlier. Further, we show that the mRNA destabilisation by
sRNA might be, in particular, beneficial in the low phosphorylation state for
having the right concentration levels of ArcZ and ArcB. Stochastic simulation
results suggest that as the ArcZ-ArcB binding affinity is increased, the
probability distribution for the number of ArcZ molecules becomes flatter
indicating frequently occurring transcriptional bursts of varying strengths.


title: Energy dynamics in a generalized compass chain

abstract:
  We investigate the energy dynamics in a generalized compass chain under an
external magnetic field. We show that the energy current operators act on three
contiguous sites in the absence of the magnetic field, and they are
incorporated with inhomogenous Dzyaloshinskii-Moriya interactions in the
presence of the magnetic field. These complex interactions remain the
Hamiltonian be an exactly solvable spin model. We study the effects of the
three-site interactions and the Dzyaloshinskii-Moriya interactions on the
energy spectra and phase diagram. The results have revealed that the energy
current of the pristine quantum compass model is conserved due to the
associated intermediate symmetries, and for other general cases such
characteristic does not exist.


title: New class of 3D topological insulator in double perovskite

abstract:
  We predict a new class of three-dimensional topological insulators (TIs) in
which the spin-orbit coupling (SOC) can more effectively generate a large band
gap at $\Gamma$ point. The band gap of conventional TI such as Bi$_2$Se$_3$ is
mainly limited by two factors, the strength of SOC and, from electronic
structure perspective, the band gap when SOC is absent. While the former is an
atomic property, we find that the latter can be minimized in a generic
rock-salt lattice model in which a stable crossing of bands {\it at} the Fermi
level along with band character inversion occurs for a range of parameters in
the absence of SOC. Thus, large-gap TI's or TI's comprised of lighter elements
can be expected. In fact, we find by performing first-principle calculations
that the model applies to a class of double perovskites A$_2$BiXO$_6$ (A = Ca,
Sr, Ba; X = Br, I) and the band gap is predicted up to 0.55 eV. Besides, more
detailed calculations considering realistic surface structure indicate that the
Dirac cones are robust against the presence of dangling bond at the boundary
with a specific termination.


title:
Robust Optimal Investment in Discrete Time for Unbounded Utility
  Function

abstract:
  This paper investigates the problem of maximizing expected terminal utility
in a discrete-time financial market model with a finite horizon under
non-dominated model uncertainty. We use a dynamic programming framework
together with measurable selection arguments to prove that under mild
integrability conditions, an optimal portfolio exists for an unbounded utility
function defined on the half-real line.


title:
Data Rate for Distributed Consensus of Multi-agent Systems with High
  Order Oscillator Dynamics

abstract:
  Distributed consensus with data rate constraint is an important research
topic of multi-agent systems. Some results have been obtained for consensus of
multi-agent systems with integrator dynamics, but it remains challenging for
general high-order systems, especially in the presence of unmeasurable states.
In this paper, we study the quantized consensus problem for a special kind of
high-order systems and investigate the corresponding data rate required for
achieving consensus. The state matrix of each agent is a 2m-th order real
Jordan block admitting m identical pairs of conjugate poles on the unit circle;
each agent has a single input, and only the first state variable can be
measured. The case of harmonic oscillators corresponding to m=1 is first
investigated under a directed communication topology which contains a spanning
tree, while the general case of m >= 2 is considered for a connected and
undirected network. In both cases it is concluded that the sufficient number of
communication bits to guarantee the consensus at an exponential convergence
rate is an integer between $m$ and $2m$, depending on the location of the
poles.


title:
R\'{e}nyi and Tsallis formulations of separability conditions in finite
  dimensions

abstract:
  Separability conditions for a bipartite quantum system of finite-dimensional
subsystems are formulated in terms of R\'{e}nyi and Tsallis entropies. Entropic
uncertainty relations often lead to entanglement criteria. We propose new
approach based on the convolution of discrete probability distributions.
Measurements on a total system are constructed of local ones according to the
convolution scheme. Separability conditions are derived on the base of
uncertainty relations of the Maassen-Uffink type as well as majorization
relations. On each of subsystems, we use a pair of sets of subnormalized
vectors that form rank-one POVMs. We also obtain entropic separability
conditions for local measurements with a special structure, such as mutually
unbiased bases and symmetric informationally complete measurements. The
relevance of the derived separability conditions is demonstrated with several
examples.


title: Quantum imaging of current flow in graphene

abstract:
  Since its first isolation in 2004, graphene has been found to host a plethora
of unusual electronic transport phenomena, making it a fascinating system for
fundamental studies in condensed-matter physics as well as offering tremendous
opportunities for future electronic and sensing devices. However, to fully
realise these goals a major challenge is the ability to non-invasively image
charge currents in monolayer graphene structures and devices. Typically,
electronic transport in graphene has been investigated via resistivity
measurements, however, such measurements are generally blind to spatial
information critical to observing and studying landmark transport phenomena
such as electron guiding and focusing, topological currents and viscous
electron backflow in real space, and in realistic imperfect devices. Here we
bring quantum imaging to bear on the problem and demonstrate high-resolution
imaging of current flow in graphene structures. Our method utilises an
engineered array of near-surface, atomic-sized quantum sensors in diamond, to
map the vector magnetic field and reconstruct the vector current density over
graphene geometries of varying complexity, from mono-ribbons to junctions, with
spatial resolution at the diffraction limit and a projected sensitivity to
currents as small as 1 {\mu}A. The measured current maps reveal strong spatial
variations corresponding to physical defects at the sub-{\mu}m scale. The
demonstrated method opens up an important new avenue to investigate fundamental
electronic and spin transport in graphene structures and devices, and more
generally in emerging two-dimensional materials and thin film systems.


title:
Structural and Optical Properties of Pulse Laser Deposited Ag_2O Thin
  Films

abstract:
  We deposited Ag_2O films in PLD system on glass substrate for a fixed partial
oxygen gas pressure (70 mili Torr) with the variation of laser energy from 75
to 215 mJ/Pulse. The XRD patterns confirm that the films have well
crystallinity and deposited as hexagonal lattice and the crystalline size
increases from 26.38 nm to 27.27 nm. The FESEM images show that the particle
size of the films increases from 34.84 nm to 65.83 nm. The composition of the
films is analyzed from EDX spectra which show that the percentage of oxygen
increases from 41.03% to 48.38% with the increment of laser energy. From the
optical characterization, it is observed that the optical band gap appears in
the visible optical range in an increasing order from 0.87 to 0.98 eV with the
increment of laser energy. Our analysis concludes that the Ag_2O thin films,
deposited with these parameters, can be considered as a good absorbent layer
for solar photovoltaic application.


title:
Extended Supersymmetric BMS$_3$ algebras and Their Free Field
  Realisations

abstract:
  We study $N=(2,4,8)$ supersymmetric extensions of the three dimensional BMS
algebra (BMS$_3$) with most generic possible central extensions. We find that
$N$-extended supersymmetric BMS$_3$ algebras can be derived by a suitable
contraction of two copies of the extended superconformal algebras. Extended
algebras from all the consistent contractions are obtained by scaling
left-moving and right-moving supersymmetry generators symmetrically, while
Virasoro and R-symmetry generators are scaled asymmetrically. On the way, we
find that the BMS/GCA correspondence does not in general hold for
supersymmetric systems. Using the $\beta$-$\gamma$ and the ${\mathfrak
b}$-${\mathfrak c}$ systems, we construct free field realisations of all the
extended super-BMS$_3$ algebras.


title: A Dynamic Web Service Registry Framework for Mobile Environments

abstract:
  Advancements in technology have transformed mobile devices from being mere
communication widgets to versatile computing devices. Proliferation of these
hand held devices has made them a common means to access and process digital
information. Most web based applications are today available in a form that can
conveniently be accessed over mobile devices. However, webservices
(applications meant for consumption by other applications rather than humans)
are not as commonly provided and consumed over mobile devices. Facilitating
this and in effect realizing a service-oriented system over mobile devices has
the potential to further enhance the potential of mobile devices. One of the
major challenges in this integration is the lack of an efficient service
registry system that caters to issues associated with the dynamic and volatile
mobile environments. Existing service registry technologies designed for
traditional systems fall short of accommodating such issues. In this paper, we
propose a novel approach to manage service registry systems provided 'solely'
over mobile devices, and thus realising an SOA without the need for high-end
computing systems. The approach manages a dynamic service registry system in
the form of light weight and distributed registries. We assess the feasibility
of our approach by engineering and deploying a working prototype of the
proposed registry system over actual mobile devices. A comparative study of the
proposed approach and the traditional UDDI (Universal Description, Discovery,
and Integration) registry is also included. The evaluation of our framework has
shown propitious results in terms of battery cost, scalability, hindrance with
native applications.


title:
Determination of signal-to-noise ratio on the base of
  information-entropic analysis

abstract:
  In this paper we suggest a new algorithm for determination of signal-to-noise
ratio (SNR). SNR is a quantitative measure widely used in science and
engineering. Generally, methods for determination of SNR are based on using of
experimentally defined power of noise level, or some conditional noise
criterion which can be specified for signal processing. In the present work we
describe method for determination of SNR of chaotic and stochastic signals at
unknown power levels of signal and noise. For this aim we use information as
difference between unconditional and conditional entropy. Our theoretical
results are confirmed by results of analysis of signals which can be described
by nonlinear maps and presented as overlapping of harmonic and stochastic
signals.


title: Effect of surface roughness on the Goos-H\"anchen shift

abstract:
  By considering an optically denser medium with a flat surface, but with
natural roughness instead of abstract geometrical boundary which leads to
mathematical discontinuity on the boundary of two adjacent stratified media, we
have thus established the importance of considering physical surfaces; and thus
we studied the Goos-H\"{a}nchen (GH) effect by ray-optics description to shed
light on parts of this effect which have remained ambiguous. We replaced the
very thin region of surface roughness by a continuous inhomogeneous
intermediary medium. Applying Fermat's principle for the incident light ray,
few fundamental questions about GH shift are more convincingly addressed which
are in excellent agreement, even with the most details of the experimental
results.


title: New dynamic critical phenomena in nuclear and quark superfluids

abstract:
  We study the dynamic critical phenomena near the possible high-density QCD
critical point inside the superfluid phase of nuclear and quark matter. We find
that this critical point belongs to a new dynamic universality class beyond the
conventional classification by Hohenberg and Halperin. We show that the speed
of the superfluid phonon vanishes at the critical point and that the dynamic
critical index is $z \approx 2$.


title: The optical counterpart to the Be/X-ray binary SAX J2239.3+6116

abstract:
  The main goal of this work is to perform a detailed study of the optical
variability of the Be/X-ray binary SAX J2239.3+6116. We obtained multi-colour
BVRI photometry and polarimetry and 4000-7000 A spectroscopy. The optical
counterpart to SAX J2239.3+6116 is a V=14.8 B0Ve star located at a distance of
~4.9 kpc. The interstellar reddening in the direction of the source is
E(B-V)=1.70 mag. The monitoring of the Halpha line reveals a slow long-term
decline of its equivalent width since 2001. The line profile is characterized
by a stable double-peak profile with no indication of large-scale distortions.
Although somewhat higher than predicted by the models, the optical polarization
is consistent with electron scattering in the circumstellar disk. We attribute
the long-term decrease in the intensity of the Halpha line to the dissipation
of the circumstellar disk of the Be star. The longer variability timescales
observed in SAX J2239.3+6116 compared to other Be/X-ray binaries may be
explained by the wide orbit of the system.


title: Perinormal rings with zero divisors

abstract:
  We extend to rings with zero-divisors the concept of perinormal domain
introduced by N. Epstein and J. Shapiro. A ring $A$ is called perinormal if
every overring of $A$ which satisfies going down over $A$ is $A$-flat. The
Pr\"ufer rings and the Marot Krull rings are perinormal.


title: Electronic properties in a quantum well structure of Weyl semimetal

abstract:
  We investigate the confined states and transport of three-dimensional Weyl
electrons around a one-dimensional external rectangular electrostatic
potential. Confined states with finite transverse wave vector exist at energies
higher than the half well depth or lower than the half barrier height. The
rectangular potential appears completely transparent to normal incident
electrons but not otherwise. The tunneling transmission coefficient is
sensitive to their incident angle and shows resonant peaks when their energy
coincides with the confined spectra. In addition, for electrons in the
conduction (valence) band through a potential barrier (well), the transmission
spectrum has a gap of width increasing with the incident angle. Interestingly,
the electron linear zero-temperature conductance over the potential can
approach zero when the Fermi energy is aligned to the top and bottom energies
of the potential, when only electron beams normal to the potential interfaces
can pass through. The considered structure can be used to collimate Weyl
electron beams.


title: Is cortical criticality unique?

abstract:
  There are indications that for optimizing neural computation, neural networks
- including the brain - operate at criticality. Previous approaches have,
however, used diverse fingerprints of criticality, leaving open the question
whether they refer to a unique critical point or whether there could be
several. Using a recurrent spiking neural network as the model, we demonstrate
that avalanche criticality does not necessarily lie at the dynamical
edge-of-chaos and that therefore, the different fingerprints indicate distinct
phenomena with an as yet unclarified relationship.


title: Time/memory/data trade-off attack to a psuedo-random generator

abstract:
  Time, data and memory trade off attack is one of the most important threats
against pseudo- random generators and resisting against it, is considered as a
main criteria of designing such generators. In this research, the pseudo-random
GMGK generator will be addressed and analyzed in details. Having indicated
various weaknesses of this generator, we performed three different versions of
structural attack on this generator and showed that proposed TMDTO attacks to
this generator can discover blocks of plaintext with lower complexity than
exhaustive search of space of key generator. Results indicated that the
mentioned generator is lack of the security claimed by authors.


title: CNN-aware Binary Map for General Semantic Segmentation

abstract:
  In this paper we introduce a novel method for general semantic segmentation
that can benefit from general semantics of Convolutional Neural Network (CNN).
Our segmentation proposes visually and semantically coherent image segments. We
use binary encoding of CNN features to overcome the difficulty of the
clustering on the high-dimensional CNN feature space. These binary codes are
very robust against noise and non-semantic changes in the image. These binary
encoding can be embedded into the CNN as an extra layer at the end of the
network. This results in real-time segmentation. To the best of our knowledge
our method is the first attempt on general semantic image segmentation using
CNN. All the previous papers were limited to few number of category of the
images (e.g. PASCAL VOC). Experiments show that our segmentation algorithm
outperform the state-of-the-art non-semantic segmentation methods by large
margin.


title:
Broadband frequency conversion via adiabatically tapered $\chi^{(2)}$
  waveguide in photonic integrated circuits

abstract:
  We propose to use the integrated aluminum nitride waveguide with engineered
width variation to achieve optical frequency conversion based on $\chi^{(2)}$
nonlinear effect on a photonic chip. We show that in an adiabatically tapered
waveguide, the frequency conversion has a much broader bandwidth and the
efficiency within the bandwidth is almost constant, which is favorable for
short pulses. We demonstrate both analytically and numerically an "area law"
for the frequency conversion, i.e. the product of bandwidth and efficiency is
conserved as long as peak conversion efficiency does not saturate. The
adiabatic structure shows higher saturation thresholds in pump power or
interaction length, outperforming the conventional uniform waveguide design.
With our approach, high-efficiency and wavefront-keeping conversion for short
pulses is possible on a photonic chip, which will surely find applications for
scalable on-chip information processing.


title: Dimension reduction for systems with slow relaxation

abstract:
  We develop reduced, stochastic models for high dimensional, dissipative
dynamical systems that relax very slowly to equilibrium and can encode long
term memory. We present a variety of empirical and first principles approaches
for model reduction, and build a mathematical framework for analyzing the
reduced models. We introduce the notions of universal and asymptotic filters to
characterize `optimal' model reductions for sloppy linear models. We illustrate
our methods by applying them to the practically important problem of modeling
evaporation in oil spills.


title:
Rattleback: a model of how geometric singularity induces dynamic
  chirality

abstract:
  The rattleback is a boat-shaped top with an asymmetric preference in spin.
Its dynamics can be described by nonlinearly coupled pitching, rolling, and
spinning modes. The chirality, designed into the body as a skewed mass
distribution, manifests itself in the quicker transition of $+$spin
$\rightarrow$ pitch $\rightarrow$ $-$spin than that of $-$spin $\rightarrow$
roll $\rightarrow$ $+$spin. The curious guiding idea of this work is that we
can formulate the dynamics as if a symmetric body were moving in a chiral
space. By elucidating the duality of matter and space in the Hamiltonian
formalism, we attribute asymmetry to space. The rattleback is shown to live in
the space dictated by the Bianchi type ${\rm VI}_{h < -1}$ (belonging to class
B) algebra; this particular algebra is used here for the first time in a
mechanical example. The class B algebra has a singularity that separates the
space (Poisson manifold) into mirror-asymmetric subspaces, breaking the
time-reversal symmetry of nearby orbits.


title: Auto-scaling Web Applications in Clouds: A Taxonomy and Survey

abstract:
  Web application providers have been migrating their applications to cloud
data centers, attracted by the emerging cloud computing paradigm. One of the
appealing features of the cloud is elasticity. It allows cloud users to acquire
or release computing resources on-demand, which enables web application
providers to automatically scale the resources provisioned to their
applications without human intervention under a dynamic workload to minimize
resource cost while satisfying Quality of Service (QoS) requirements. In this
paper, we comprehensively analyze the challenges that remain in auto-scaling
web applications in clouds and review the developments in this field. We
present a taxonomy of auto-scalers according to the identified challenges and
key properties. We analyze the surveyed works and map them to the taxonomy to
identify the weaknesses in this field. Moreover, based on the analysis, we
propose new future directions that can be explored in this area.


title:
Interpretation of Past Kingdoms Poems to Reconstruct the Physical
  Phenomena in the Past: Case of Great Tambora Eruption 1815

abstract:
  In this paper I reconstruct the distribution of ash released from great
Tambora eruption in 1815. The reconstruction was developed by analyzing the
meaning of Poem of Bima Kingdom written in 1830. I also compared the effect of
Tambora eruption and the Kelud eruption February 13, 2014 to estimate the most
logical thickness of ash that has fallen in Bima district. I get a more logical
value for ash thickness in Bima district of around 60 cm, not 10 cm as widely
reported. I also propose the change of ash distribution. Until presently, it
was accepted that the ash thickness distribution satisfied asymmetry cone
distribution. However, I propose the ash distributed according to asymmetry
Gaussian function. Random simulation and fitting of the thickness data
extracted from isopach map showed that the asymmetry Gaussian distribution is
more acceptable. I obtained the total volume of ash released in Tambora
eruption was around 180 km3, greater of about 20% than the present accepted
value of 150 km3


title:
ICE: Information Credibility Evaluation on Social Media via
  Representation Learning

abstract:
  With the rapid growth of social media, rumors are also spreading widely on
social media and bring harm to people's daily life. Nowadays, information
credibility evaluation has drawn attention from academic and industrial
communities. Current methods mainly focus on feature engineering and achieve
some success. However, feature engineering based methods require a lot of labor
and cannot fully reveal the underlying relations among data. In our viewpoint,
the key elements of user behaviors for evaluating credibility are concluded as
"who", "what", "when", and "how". These existing methods cannot model the
correlation among different key elements during the spreading of microblogs. In
this paper, we propose a novel representation learning method, Information
Credibility Evaluation (ICE), to learn representations of information
credibility on social media. In ICE, latent representations are learnt for
modeling user credibility, behavior types, temporal properties, and comment
attitudes. The aggregation of these factors in the microblog spreading process
yields the representation of a user's behavior, and the aggregation of these
dynamic representations generates the credibility representation of an event
spreading on social media. Moreover, a pairwise learning method is applied to
maximize the credibility difference between rumors and non-rumors. To evaluate
the performance of ICE, we conduct experiments on a Sina Weibo data set, and
the experimental results show that our ICE model outperforms the
state-of-the-art methods.


title:
A comparative study of complexity of handwritten Bharati characters with
  that of major Indian scripts

abstract:
  We present Bharati, a simple, novel script that can represent the characters
of a majority of contemporary Indian scripts. The shapes/motifs of Bharati
characters are drawn from some of the simplest characters of existing Indian
scripts. Bharati characters are designed such that they strictly reflect the
underlying phonetic organization, thereby attributing to the script qualities
of simplicity, familiarity, ease of acquisition and use. Thus, employing
Bharati script as a common script for a majority of Indian languages can
ameliorate several existing communication bottlenecks in India. We perform a
complexity analysis of handwritten Bharati script and compare its complexity
with that of 9 major Indian scripts. The measures of complexity are derived
from a theory of handwritten characters based on Catastrophe theory. Bharati
script is shown to be simpler than the 9 major Indian scripts in most measures
of complexity.


title:
Next-to-Next-Leading Order analysis of electroweak vacuum stability and
  rising inflection point

abstract:
  We show an analysis on the gauge-independent observables associated with two
stationary configurations of the Standard Model (SM) potential (extrapolated to
high energy at Next-to-Next-to-Leading-Order (NNLO)): i) the value of the top
mass ensuring stability of the SM electroweak vacuum and ii) the value of the
Higgs potential at a rising inflection point. We examine in detail and
reappraise the experimental and theoretical uncertainties which plague their
determination, keeping alive the possibility for the SM of being stable and
studying applications of such configuration to models of primordial inflation.


title:
On the characterization of Triebel--Lizorkin type spaces of analytic
  functions

abstract:
  We consider different characterizations of Triebel--Lizorkin type spaces of
analytic functions on the unit disc. Even though our results appear in the
folklore, detailed descriptions are hard to find, and in fact we are unable to
discuss the full range of parameters. Without additional effort we work with
vector-valued analytic functions, and also consider a generalized scale of
function spaces, including for example so-called $Q$-spaces. The primary aim of
this note is to generalize, and clarify, a remarkable result by Cohn and
Verbitsky, on factorization of Triebel--Lizorkin spaces. Their result remains
valid for functions taking values in an arbitrary Banach space, provided that
the vector-valuedness "sits in the right factor". On the other hand, if we
impose vector-valuedness on the "wrong" factor, then the factorization fails
even for separable Hilbert spaces.


title:
Tensor Networks for Latent Variable Analysis. Part I: Algorithms for
  Tensor Train Decomposition

abstract:
  Decompositions of tensors into factor matrices, which interact through a core
tensor, have found numerous applications in signal processing and machine
learning. A more general tensor model which represents data as an ordered
network of sub-tensors of order-2 or order-3 has, so far, not been widely
considered in these fields, although this so-called tensor network
decomposition has been long studied in quantum physics and scientific
computing. In this study, we present novel algorithms and applications of
tensor network decompositions, with a particular focus on the tensor train
decomposition and its variants. The novel algorithms developed for the tensor
train decomposition update, in an alternating way, one or several core tensors
at each iteration, and exhibit enhanced mathematical tractability and
scalability to exceedingly large-scale data tensors. The proposed algorithms
are tested in classic paradigms of blind source separation from a single
mixture, denoising, and feature extraction, and achieve superior performance
over the widely used truncated algorithms for tensor train decomposition.


title:
Low Rank and Sparsity Analysis Applied to Speech Enhancement via Online
  Estimated Dictionary

abstract:
  We propose an online estimated dictionary based single channel speech
enhancement algorithm, which focuses on low rank and sparse matrix
decomposition. In this proposed algorithm, a noisy speech spectral matrix is
considered as the summation of low rank background noise components and an
activation of the online speech dictionary, on which both low rank and sparsity
constraints are imposed. This decomposition takes the advantage of local
estimated dictionary high expressiveness on speech components. The local
dictionary can be obtained through estimating the speech presence probability
by applying Expectation Maximal algorithm, in which a generalized Gamma prior
for speech magnitude spectrum is used. The evaluation results show that the
proposed algorithm achieves significant improvements when compared to four
other speech enhancement algorithms.


title: M-strings and Transverse Orbifold

abstract:
  We discuss the partition function of a single M5-brane on a circle with
transverse orbifold of ADE type and show that the modes captured by the
partition function are those of the tensor multiplet and the thee form field.
We show that the bound states of M-strings corresponding to pair of simple
roots appear, for all ADE, only when the momentum on the circle is turned on.


title:
Long-range correlations in rectangular cavities containing point-like
  perturbations

abstract:
  We investigated experimentally the short- and long-range correlations in the
fluctuations of the resonance frequencies of flat, rectangular microwave
cavities that contained antennas acting as point-like perturbations. We
demonstrate that their spectral properties exhibit the features typical for
singular statistics. Hitherto, only the nearest-neighbor spacing distribution
had been studied. We, in addition considered statistical measures for the
long-range correlations and analyzed power spectra. Thereby, we could
corroborate that the spectral properties change to semi-Poisson statistic with
increasing microwave frequency. Furthermore, the experimental results are shown
to be well described by a model applicable to billiards containing a zero-range
perturbation [T. Tudorovskiy et al., New. J. Phys. 12, 12302 (2010)].


title:
Anomalous Heating and Plasmoid Formation in a Driven Magnetic
  Reconnection Experiment

abstract:
  We present a detailed study of magnetic reconnection in a
quasi-two-dimensional pulsed-power driven laboratory experiment. Oppositely
directed magnetic fields $(B=3$ T), advected by supersonic, sub-Alfv\'enic
carbon plasma flows $(V_{in}=50$ km/s), are brought together and mutually
annihilate inside a thin current layer ($\delta=0.6$ mm). Temporally and
spatially resolved optical diagnostics, including interferometry, Faraday
rotation imaging and Thomson scattering, allow us to determine the structure
and dynamics of this layer, the nature of the inflows and outflows and the
detailed energy partition during the reconnection process. We measure high
electron and ion temperatures $(T_e=100$ eV, $T_i=600$ eV), far in excess of
what can be attributed to classical (Spitzer) resistive and viscous
dissipation. We observe the repeated formation and ejection of plasmoids, which
we interpret as evidence of two-fluid effects in our experiment.


title:
Analysis of Dalitz decays with intrinsic parity violating interactions
  in resonance chiral perturbation theory

abstract:
  Observables of light hadron decays are analyzed in a model of chiral
Lagrangian which includes resonance fields of vector mesons. In particular,
transition form factors are investigated for Dalitz decays of $V\to Pl^+l^-$
and $P\to \gamma l^+l^-$ $(V=1^-, P=0^-)$. Moreover, the differential decay
width of $P\to \pi^+\pi^-\gamma$ and the partial widths of $P\to2\gamma, V\to
P\gamma, \eta^\prime\to V\gamma, \phi(1020)\to\omega(782)\pi^0$ and $V\to 3P$
are also calculated. In this study, we consider a model which contains octet
and singlet fields as representation of $SU(3)$. As an extension of chiral
perturbation theory, we include 1-loop ordered interaction terms. For both
pseudoscalar and vector meson, we evaluate mixing matrices in which
isospin/$SU(3)$ breaking is taken into account. Furthermore, intrinsic parity
violating interactions are considered with singlet fields. For parameter
estimation, we carry out $\chi^2$ fittings in which a spectral function of
$\tau$ decays, vector meson masses, decay widths of $V\to P\gamma$ and
transition form factor of $V\to Pl^+l^-$ are utilized as input data. Using the
estimated parameter region in the model, we give predictions for decay widths
and transition form factors of intrinsic parity violating decays. As further
model predictions, we calculate the transition form factors of $\phi(1020)\to
\pi^0l^+l^-$ and $\eta^\prime\to\gamma l^+l^-$ in the vicinity of resonance
regions, taking account of the contribution for intermediate $\rho(770)$ and
$\omega(782)$.


title: Maximum Distance Separable Codes for $b$-Symbol Read Channels

abstract:
  Recently, Yaakobi et al. introduced codes for $b$-symbol read channels, where
the read operation is performed as a consecutive sequence of $b>2$ symbols. In
this paper, we establish a Singleton-type bound on $b$-symbol codes. Codes
meeting the Singleton-type bound are called maximum distance separable (MDS)
codes, and they are optimal in the sense they attain the maximal minimum
$b$-distance. Based on projective geometry and constacyclic codes, we construct
new families of linear MDS $b$-symbol codes over finite fields. And in some
sense, we completely determine the existence of linear MDS $b$-symbol codes
over finite fields for certain parameters.


title: No-hypersignaling principle

abstract:
  A paramount topic in quantum foundations, rooted in the study of the EPR
paradox and Bell inequalities, is that of characterizing quantum theory in
terms of the space-like correlations it allows. Here we show that to focus only
on space-like correlations is not enough: we explicitly construct a toy model
theory that, while not contradicting classical and quantum theories at the
level of space-like correlations, still displays an anomalous behavior in its
time-like correlations. We call this anomaly, quantified in terms of a specific
communication game, the "hypersignaling" phenomena. We hence conclude that the
"principle of quantumness," if it exists, cannot be found in space-like
correlations alone: nontrivial constraints need to be imposed also on time-like
correlations, in order to exclude hypersignaling theories.


title:
A law of the iterated logarithm for the number of occupied boxes in the
  Bernoulli sieve

abstract:
  The Bernoulli sieve is an infinite occupancy scheme obtained by allocating
the points of a uniform $[0,1]$ sample over an infinite collection of intervals
made up by successive positions of a multiplicative random walk independent of
the uniform sample. We prove a law of the iterated logarithm for the number of
non-empty (occupied) intervals as the size of the uniform sample becomes large.


title:
Compact transient-grating self-referenced spectral interferometry for
  sub-nanojoule femtosecond pulses characterization

abstract:
  The self-referenced spectral interferometry (SRSI) technique, which is
usually used for microjoule-level femtosecond pulses characterization, is
improved to characterize weak femtosecond pulses with nanojoule based on the
transient-grating effect. Both femtosecond pulses from an amplifier with 3 nJ
per pulse at 1 kHz repetition rates and femtosecond pulses from an oscillator
with less than 0.5 nJ per pulse at 84 MHz repetition rates are successfully
characterized. Furthermore, through a special design, the optical setup of the
device is even smaller than a palm which will makes it simple and convenient
during the application. These improvements extend the application of SRSI
technique to the characterization of femtosecond pulses in a broad range. Not
only pulses from an amplifier but also pulses from an oscillator or weak pulses
used in ultrafast spectroscopy can be monitored with this SRSI method right
now.


title:
Modelling depth for nonparametric foreground segmentation using RGBD
  devices

abstract:
  The problem of detecting changes in a scene and segmenting the foreground
from background is still challenging, despite previous work. Moreover, new RGBD
capturing devices include depth cues, which could be incorporated to improve
foreground segmentation. In this work, we present a new nonparametric approach
where a unified model mixes the device multiple information cues. In order to
unify all the device channel cues, a new probabilistic depth data model is also
proposed where we show how handle the inaccurate data to improve foreground
segmentation. A new RGBD video dataset is presented in order to introduce a new
standard for comparison purposes of this kind of algorithms. Results show that
the proposed approach can handle several practical situations and obtain good
results in all cases.


title: Pulsar bi-drifting: implications for polar cap geometry

abstract:
  For many years it has been considered puzzling how pulsar radio emission,
supposedly created by a circulating carousel of sub-beams, can produce the
driftbands demonstrated by PSR J0815+09, and more recently PSR B1839-04, which
simultaneously drift in opposing directions. Here we suggest that the carousels
of these pulsars, and hence their beams, are not circular but elliptical with
axes tilted with respect to the fiducial plane. We show that certain relatively
unusual lines of sight can cause bi-drifting to be observed, and a simulation
of the two known exemplars is presented. Although bi-drifting is rare,
non-circular beams may be common among pulsars and reveal themselves by having
profile centroids displaced from the fiducial plane identified by polarisation
position angle swings. They may also result in profiles with asymmetric and
frequency-dependent component evolution. It is further suggested that the
carousels may change their tilt by specific amounts and later reverse them.
This may occur suddenly, accompanying a mode change (e.g. PSR B0943+10), or
more gradually and short-lived as in "flare" pulsars (e.g. PSR B1859+07). A
range of pulsar behaviour (e.g. the shifting drift patterns of PSRs B0818-41
and B0826-34) may also be the result of non-circular carousels with varying
orientation. The underlying nature of these carousels - whether they are
exclusively generated by polar cap physics or driven by magnetospheric effects
- is briefly discussed.


title: Atomic Interferometry Test of Dark Energy

abstract:
  Atomic interferometry can be used to probe dark energy models coupled to
matter. We consider the constraints coming from recent experimental results on
models generalising the inverse power law chameleons such as $f(R)$ gravity in
the large curvature regime, the environmentally dependent dilaton and
symmetrons. Using the tomographic description of these models, we find that
only symmetrons with masses smaller than the dark energy scale can be
efficiently tested. In this regime, the resulting constraints complement the
bounds from the E\"otwash experiment and exclude small values of the symmetron
self-coupling.


title: Reheating constraints on K\"ahler Moduli Inflation

abstract:
  The end of inflation is connected to the standard cosmological scenario
through reheating. During reheating, the inflaton oscillates around the minimum
of the potential and thus decays into the daughter particles that populate the
Universe at later times. Using cosmological evolution for observable CMB scales
from the time of Hubble crossing to the present time, we translate the
constraint on the spectral index $n_s$ from Planck data to the constraint on
the reheating scenario in the context of K\"ahler Moduli Inflation. In
addition, we extend the de-facto analysis generally done only for the pivot
scale to all the observable scales which crossed the Hubble radius during
inflation. We study how the maximum number of e-folds varies for different
scales, and the effect of the equation of state and potential parameters.


title: Second ROSAT all-sky survey (2RXS) source catalogue

abstract:
  We present the second ROSAT all-sky survey source catalogue, hereafter
referred to as the 2RXS catalogue. This is the second publicly released ROSAT
catalogue of point-like sources obtained from the ROSAT all-sky survey (RASS)
observations performed with the PSPC between June 1990 and August 1991, and is
an extended and revised version of the bright and faint source catalogues. We
used the latest version of the RASS processing to produce overlapping X-ray
images of 6.4x6.4 degrees sky regions. To create a source catalogue, a
likelihood-based detection algorithm was applied to these, which accounts for
the PSF across the PSPC field of view. Improvements in the background
determination compared to 1RXS were also implemented. We obtained about 135,000
X-ray detections in the 0.1-2.4 keV energy band down to a likelihood threshold
of 6.5. Our simulations show that the expected spurious content of the
catalogue is a strong function of detection likelihood, and the full catalogue
is expected to contain about 30% spurious detections. X-ray images and overlaid
X-ray contour lines provide an additional user product to evaluate the
detections visually, and we performed our own visual inspections to flag
uncertain detections. Intra-day variability in the X-ray light curves was
quantified based on the normalised excess variance and a maximum amplitude
variability analysis. X-ray spectral fits were performed using three basic
models, a power law, a thermal plasma emission model, and black-body emission.
Thirty-two large extended regions with diffuse emission and embedded point
sources were identified and excluded from the present analysis. The 2RXS
catalogue provides the deepest and cleanest X-ray all-sky survey catalogue in
advance of eROSITA.


title: Real Rank Two Geometry

abstract:
  The real rank two locus of an algebraic variety is the closure of the union
of all secant lines spanned by real points. We seek a semi-algebraic
description of this set. Its algebraic boundary consists of the tangential
variety and the edge variety. Our study of Segre and Veronese varieties yields
a characterization of tensors of real rank two.


title: Ideal-adic completion of quasi-excellent rings (after Gabber)

abstract:
  In this paper, we give a detailed proof to a result of Gabber (unpublished)
on the lifting problem of quasi-excellent rings, extending the previous work on
Nishimura-Nishimura. As a corollary, we establish that an ideal-adic completion
of an excellent (resp. quasi-excellent) ring is excellent (resp.
quasi-excellent).


title: Training Dependency Parsers with Partial Annotation

abstract:
  Recently, these has been a surge on studying how to obtain partially
annotated data for model supervision. However, there still lacks a systematic
study on how to train statistical models with partial annotation (PA). Taking
dependency parsing as our case study, this paper describes and compares two
straightforward approaches for three mainstream dependency parsers. The first
approach is previously proposed to directly train a log-linear graph-based
parser (LLGPar) with PA based on a forest-based objective. This work for the
first time proposes the second approach to directly training a linear
graph-based parse (LGPar) and a linear transition-based parser (LTPar) with PA
based on the idea of constrained decoding. We conduct extensive experiments on
Penn Treebank under three different settings for simulating PA, i.e., random
dependencies, most uncertain dependencies, and dependencies with divergent
outputs from the three parsers. The results show that LLGPar is most effective
in learning from PA and LTPar lags behind the graph-based counterparts by large
margin. Moreover, LGPar and LTPar can achieve best performance by using LLGPar
to complete PA into full annotation (FA).


title: The Calder\'on problem for the fractional Schr\"odinger equation

abstract:
  We show global uniqueness in an inverse problem for the fractional
Schr\"odinger equation: an unknown potential in a bounded domain is uniquely
determined by exterior measurements of solutions. We also show global
uniqueness in the partial data problem where the measurements are taken in
arbitrary open, possibly disjoint, subsets of the exterior. The results apply
in any dimension $\geq 2$ and are based on a strong approximation property of
the fractional equation that extends earlier work. This special feature of the
nonlocal equation renders the analysis of related inverse problems radically
different from the traditional Calder\'on problem.


title: Mirror QCD and Cosmological Constant

abstract:
  An analog of Quantum Chromo Dynamics (QCD) sector known as mirror QCD (mQCD)
can affect the cosmological evolution due to a non-trivial contribution to the
Cosmological Constant analogous to that induced by the ground state in
non-perturbative QCD. In this work, we explore a plausible hypothesis for trace
anomalies cancellation between the usual QCD and mQCD. Such an anomaly
cancellation between the two gauge theories, if exists in Nature, would lead to
a suppression or even elimination of their contributions to the Cosmological
Constant. The trace anomaly compensation condition and the form of the
non-perturbative mQCD coupling constant in the infrared limit have been
proposed by analysing a partial non-perturbative solution of the
Einstein--Yang-Mills equations of motion.


title:
Shock-driven Accretion in Circumplanetary Disks: Observables and
  Satellite Formation

abstract:
  Circumplanetary disks (CPDs) control the growth of planets, supply material
for satellites to form, and provide observational signatures of young forming
planets. We have carried out two dimensional hydrodynamical simulations with
radiative cooling to study CPDs, and suggested a new mechanism to drive the
disk accretion. Two spiral shocks are present in CPDs, excited by the central
star. We find that spiral shocks can at least contribute to, if not dominate
the angular momentum transport and energy dissipation in CPDs. Meanwhile,
dissipation and heating by spiral shocks have a positive feedback on
shock-driven accretion itself. As the disk is heated up by spiral shocks, the
shocks become more open, leading to more efficient angular momentum transport.
This shock driven accretion is, on the other hand, unsteady on a timescale of
months/years due to production and destruction of vortices in disks. After
being averaged over time, a quasi-steady accretion is reached from the planet's
Hill radius all the way to the planet surface, and the disk
$\alpha$-coefficient characterizing angular momentum transport due to spiral
shocks is $\sim$0.001-0.02. The disk surface density ranges from 10 to 1000 g
cm$^{-2}$ in our simulations, which is at least 3 orders of magnitude smaller
than the "minimum mass sub-nebula" model used to study satellite formation;
instead it is more consistent with the "gas-starved" satellite formation model.
Finally, we calculate the millimeter flux emitted by CPDs at ALMA and EVLA
wavelength bands and predict the flux for several recently discovered CPD
candidates, which suggests that ALMA is capable of discovering these accreting
CPDs.


title:
Kernel Methods on Approximate Infinite-Dimensional Covariance Operators
  for Image Classification

abstract:
  This paper presents a novel framework for visual object recognition using
infinite-dimensional covariance operators of input features in the paradigm of
kernel methods on infinite-dimensional Riemannian manifolds. Our formulation
provides in particular a rich representation of image features by exploiting
their non-linear correlations. Theoretically, we provide a finite-dimensional
approximation of the Log-Hilbert-Schmidt (Log-HS) distance between covariance
operators that is scalable to large datasets, while maintaining an effective
discriminating capability. This allows us to efficiently approximate any
continuous shift-invariant kernel defined using the Log-HS distance. At the
same time, we prove that the Log-HS inner product between covariance operators
is only approximable by its finite-dimensional counterpart in a very limited
scenario. Consequently, kernels defined using the Log-HS inner product, such as
polynomial kernels, are not scalable in the same way as shift-invariant
kernels. Computationally, we apply the approximate Log-HS distance formulation
to covariance operators of both handcrafted and convolutional features,
exploiting both the expressiveness of these features and the power of the
covariance representation. Empirically, we tested our framework on the task of
image classification on twelve challenging datasets. In almost all cases, the
results obtained outperform other state of the art methods, demonstrating the
competitiveness and potential of our framework.


title:
Measuring cosmic velocities with 21cm intensity mapping and galaxy
  redshift survey cross-correlation dipoles

abstract:
  We investigate the feasibility of measuring the effects of peculiar
velocities in large-scale structure using the dipole of the redshift-space
cross-correlation function. We combine number counts of galaxies with
brightness-temperature fluctuations from 21cm intensity mapping, demonstrating
that the dipole may be measured at modest significance ($\lesssim 2\sigma$) by
combining the upcoming radio survey CHIME with the future redshift surveys of
DESI and Euclid. More significant measurements ($\lesssim~10\sigma$) will be
possible by combining intensity maps from the SKA with these of DESI or Euclid,
and an even higher significance measurement ($\lesssim 100\sigma$) may be made
by combining observables completely internally to the SKA. We account for
effects such as contamination by wide-angle terms, interferometer noise and
beams in the intensity maps, non-linear enhancements to the power spectrum,
stacking multiple populations, sensitivity to the magnification slope, and the
possibility that number counts and intensity maps probe the same tracers. We
also derive a new expression for the covariance matrix of multi-tracer
redshift-space correlation function estimators with arbitrary orientation
weights, which may be useful for upcoming surveys aiming at measuring
redshift-space clustering with multiple tracers.


title:
Heuristic with elements of tabu search for Truck and Trailer Routing
  Problem

abstract:
  Vehicle Routing Problem is a well-known problem in logistics and
transportation, and the variety of such problems is explained by the fact that
it occurs in many real-life situations. It is an NP-hard combinatorial
optimization problem and finding an exact optimal solution is practically
impossible. In this work, Site-Dependent Truck and Trailer Routing Problem with
hard and soft Time Windows and Split Deliveries is considered (SDTTRPTWSD). In
this article, we develop a heuristic with the elements of Tabu Search for
solving SDTTRPTWSD. The heuristic uses the concept of neighborhoods and visits
infeasible solutions during the search. A greedy heuristic is applied to
construct an initial solution.


title:
Integrated bio-electrochemical model for a micro photosynthetic power
  cell

abstract:
  A simple first-principles mathematical model is developed to predict the
performance of a micro photosynthetic power cell ($\mu$PSC), an electrochemical
device which generates electricity by harnessing electrons from photosynthesis
in the presence of light. A lumped parameter approach is used to develop a
model in which the electrochemical kinetic rate constants and diffusion effects
are lumped into a single characteristic rate constant $K$. A non-parametric
estimation of $K$ for the $\mu$PSC is performed by minimizing the sum square
errors (SSE) between the experimental and model predicted current and voltages.
The developed model is validated by comparing the model predicted $v-i$
characteristics with experimental data not used in the parameter estimation.
Sensitivity analysis of the design parameters and the operational parameters
reveal interesting insights for performance enhancement. Analysis of the model
also suggests that there are two different operating regimes that are observed
in this $\mu$PSC. This modeling approach can be used in other designs of
$\mu$PSCs for performance enhancement studies.


title:
Recombination dynamics of type-II excitons in (Ga,In)As/GaAs/Ga(As,Sb)
  heterostructures

abstract:
  (Ga,In)As/GaAs/Ga(As,Sb) multi-quantum well heterostructures have been
investigated using continuous wave and time-resolved photoluminescence
spectroscopy at various temperatures. A complex interplay was observed between
the excitonic type-II transitions with electrons in the (Ga,In)As well and
holes in the Ga(As,Sb) well and the type-I excitons in the (Ga,In)As and
Ga(As,Sb) wells. The type-II luminescence exhibits a strongly non-exponential
temporal behavior below a critical temperature of Tc = 70K. The transients were
analyzed in the framework of a rate-equation model. It was found that the
exciton relaxation and hopping in the localized states of the disordered
ternary Ga(As,Sb) are the decisive processes to describe the dynamics of the
type-II excitons correctly.


title:
Rank two vector bundles on polarised Halphen surfaces and the Gauss-Wahl
  map for du Val curves

abstract:
  A genus-g du Val curve is a degree-3g plane curve having 8 points of
multiplicity g, one point of multiplicity g-1, and no other singularity. We
prove that the corank of the Gauss-Wahl map of a general du Val curve of odd
genus (>11) is equal to one. This, together with the results of [1], shows that
the characterisation of Brill-Noether-Petri curves with non-surjective
Gauss-Wahl map as hyperplane sections of K3 surfaces and limits thereof,
obtained in [3], is optimal.


title:
Two-Channel Kondo Physics in a Majorana Island Coupled to a Josephson
  Junction

abstract:
  We study a Majorana island coupled to a bulk superconductor via a Josephson
junction and to multiple external normal leads. In the absence of the Josephson
coupling, the system displays a topological Kondo state, which had been largely
studied recently. However, we find that this state is unstable even to small
Josephson coupling, which instead leads at low temperature $T$ to a new fixed
point. Most interesting is the case of three external leads, forming a minimal
electronic realization of the long sought two-channel Kondo effect. While the
$T=0$ conductance corresponds to simple resonant Andreev reflection, the
leading $T$ dependence forms an experimental fingerprint for non-Fermi liquid
properties.


title:
Classical ergodicity and quantum eigenstate thermalization: Analysis in
  fully connected Ising ferromagnets

abstract:
  We investigate the relation between the classical ergodicity and the quantum
eigenstate thermalization in the fully connected Ising ferromagnets. In the
case of spin-1/2, an expectation value of an observable in a single energy
eigenstate coincides with the long-time average in the underlying classical
dynamics, which is a consequence of the Wentzel-Kramers-Brillouin
approximation. In the case of spin-1, the underlying classical dynamics is not
necessarily ergodic. In that case, it turns out that, in the thermodynamic
limit, the statistics of the expectation values of an observable in the energy
eigenstates coincides with the statistics of the long-time averages in the
underlying classical dynamics starting from random initial states sampled
uniformly from the classical phase space. This feature seems to be a general
property in semiclassical systems, and the result presented here is crucial in
discussing equilibration, thermalization, and dynamical transitions of such
systems.


title:
Fluctuation magnetoconductivity in pristine and protonirradiated
  Ca8.5La1.5(Pt3As8)(Fe2As2)5 single crystals

abstract:
  The influence of the proton irradiation on the thermally fluctuation-induced
conductivity in Ca8.5La1.5(pt3As8)(Fe2As2)5 single crystal was investigatyed.
The in-plane magnetoconductivity was measured up to H=13T. It is observed that
the Tc was suppressed up to 30.3 from 32.5 K when the proton is irradiated
whereas the amplitude of the fluctuation effect is the almost same in both
samples. The results were analyzed by the Ullah and Dorsey scaling functions
based on the Hartree approximation to the Ginzburg-Landau free energy,
including the critical-fluctuation regime. In the pristine sample, the 3D-2D
crossover in the fluctuation effect was observed near the Tc. When the 3D-2D
occurs, it is newly found that there is a regime simultaneously described by 2D
and 3D fluctuation behaviors. Meanwhile, the proton-irradiated sample showed
the 3D fluctuation.


title:
Wave-particle duality coming from a bead oscillator in an elastic
  medium, theoretical study and quantum similarities

abstract:
  We introduce a dual wave-particle macroscopic system, where a bead oscillator
oscillates in an elastic medium which obeys the Klein-Gordon equation. This
theoretical system is mostly inspired by bouncing droplets experiments and bead
sliding on a vibrating string experiments. This system is studied using a
common and simple mathematical formalism. We compute the motion equation of the
bead as well as the wave equation of the system. We introduce the effective
velocity of the bead with respect to the elastic medium and the wave $\psi$,
created by the bead, which modulates the natural wave of the medium. Provided
some conditions, $\psi$ obeys an equation analogous to the free Schr\"odinger
equation. In the case of linear and spherical cavities, the particle-like
characteristics of the bead, expressed with its effective velocity, are
proportional to the corresponding wave-like characteristics of the system.
  This paper is a translation of Dualit\'e onde-corpuscule form\'ee par une
masselotte oscillante dans un milieu \'elastique : \'etude th\'eorique et
similitudes quantiques.


title:
Determination of Surface Morphology of TiO2 nanostructure using
  synchrotron X-ray standing wave technique

abstract:
  Nanostructures of Titanium oxide (TiO2) are being studied for many promising
applications, e.g., solar photovoltaics, solar water splitting for H2 fuel
generation etc., due to their excellent photo-catalytic properties. We have
synthesized low-dimensional TiO2 nanoparticles by gas phase CW CO2 laser
pyrolysis. The laser synthesis process has been optimized for the deposition of
highly pure, nearly mono-dispersed TiO2 nanoparticles on silicon substrates.
Hard x-ray standing wave-field (XSW) measurements in total reflection geometry
were carried out on the BL-16 beamline of Indus-2 synchrotron radiation
facility in combination with x-ray reflectivity and grazing incidence x-ray
fluorescence measurements for the determination of surface morphology of the
deposited TiO2 nanostructures. The average particle size of TiO2 nanostructure
estimated using transmission electron microscopy (TEM) was found to closely
agree with the XSW and grazing incidence x-ray diffraction (GIXRD) results.


title:
Importance of bulk states for the electronic structure of semiconductor
  surfaces: implications for finite slabs

abstract:
  We investigate the influence of slab thickness on the electronic structure of
the Si(100)-p(2x2) surface in density functional theory (DFT) calculations,
considering both density of states and band structure. Our calculations, with
slab thicknesses of up to 78 atomic layers, reveal that the slab thickness
profoundly affects the surface band structure, particularly the dangling bond
states of the silicon dimers near the Fermi level. We find that, to precisely
reproduce the surface bands, the slab thickness needs to be large enough to
completely converge the bulk bands in the slab. In case of the Si(100) surface,
the dispersion features of the surface bands, such as the band shape and width,
converge when the slab thickness is larger than 30 layers. Complete convergence
of both the surface and bulk bands in the slab is only achieved when the slab
thickness is greater than 60 layers.


title:
Meixner class of orthogonal polynomials of a non-commutative monotone
  Levy noise

abstract:
  Let $(X_t)_{t\ge0}$ denote a non-commutative monotone L\'evy process. Let
$\omega=(\omega(t))_{t\ge0}$ denote the corresponding monotone L\'evy noise.. A
continuous polynomial of $\omega$ is an element of the corresponding
non-commutative $L^2$-space $L^2(\tau)$ that has the form $\sum_{i=0}^n\langle
\omega^{\otimes i},f^{(i)}\rangle$, where $f^{(i)}\in C_0(\mathbb R_+^i)$. We
denote by $\mathbf{CP}$ the space of all continuous polynomials of $\omega$.
For $f^{(n)}\in C_0(\mathbb R_+^n)$, the orthogonal polynomial $\langle
P^{(n)}(\omega),f^{(n)}\rangle$ is defined as the orthogonal projection of the
monomial $\langle\omega^{\otimes n},f^{(n)}\rangle$ onto the subspace of
$L^2(\tau)$ that is orthogonal to all continuous polynomials of $\omega$ of
order $\le n-1$. We denote by $\mathbf{OCP}$ the linear span of the orthogonal
polynomials. Each orthogonal polynomial $\langle
P^{(n)}(\omega),f^{(n)}\rangle$ depends only on the restriction of the function
$f^{(n)}$ to the set $\{(t_1,\dots,t_n)\in\mathbb R_+^n\mid t_1\ge
t_2\ge\dots\ge t_n\}$. The orthogonal polynomials allow us to construct a
unitary operator $J:L^2(\tau)\to\mathbb F$, where $\mathbb F$ is an extended
monotone Fock space. Thus, we may think of the monotone noise $\omega$ as a
distribution of linear operators acting in $\mathbb F$. We say that the
orthogonal polynomials belong to the Meixner class if
$\mathbf{CP}=\mathbf{OCP}$. We prove that each system of orthogonal polynomials
from the Meixner class is characterized by two parameters: $\lambda\in\mathbb
R$ and $\eta\ge0$. In this case, the monotone L\'evy noise has the
representation
$\omega(t)=\partial_t^\dag+\lambda\partial_t^\dag\partial_t+\partial_t+\eta\partial_t^\dag\partial_t\partial_t$.
Here, $\partial_t^\dag$ and $\partial_t$ are the (formal) creation and
annihilation operators at $t\in\mathbb R_+$ acting in $\mathbb F$.


title:
(Topological) modular forms with level structures: decompositions and
  duality

abstract:
  The present article studies decompositions of vector bundles on the moduli
stack of elliptic curves that are pushforwards of vector bundles on moduli of
elliptic curves with level structure. These imply decomposition results for
rings of modular forms and also for topological modular forms. We give explicit
formulas for these decompositions and also apply them to equivariant
topological modular forms. Moreover, we study the dualizing sheaf on
$\overline{\mathcal{M}}_1(n)$ and characterize the numbers $n$ such that
$Tmf_1(n)$ is Anderson self-dual.


title:
Anomalous Stress Fluctuations in Athermal Two Dimensional Amorphous
  Solids

abstract:
  We numerically study the local stress distribution within athermal,
isotropically stressed, mechanically stable, packings of bidisperse
frictionless disks above the jamming transition in two dimensions. Considering
the Fourier transform of the local stress, we find evidence for algebraically
increasing fluctuations in both isotropic and anisotropic components of the
stress tensor at small wavenumbers, contrary to recent theoretical predictions.
Such increasing fluctuations imply a lack of self-averaging of the stress on
large length scales. The crossover to these increasing fluctuations defines a
length scale $\ell_0$, however it appears that $\ell_0$ does not vary much with
packing fraction $\phi$, nor does $\ell_0$ seem to be diverging as $\phi$
approaches the jamming $\phi_J$. We also find similar large length scale
fluctuations of stress in the inherent states of a quenched Lennard-Jones
liquid, leading us to speculate that such fluctuations may be a general
property of amorphous solids in two dimensions.


title:
Qualitative comparisons of experimental results on deterministic freak
  wave generation based on modulational instability

abstract:
  A number of qualitative comparisons of experimental results on unidirectional
freak wave generation in a hydrodynamic laboratory are presented in this paper.
A nonlinear dispersive type of wave equation, the nonlinear Schr\"{o}dinger
equation, is chosen as the theoretical model. A family of exact solutions of
this equation the so-called Soliton on Finite Background describing
modulational instability phenomenon is implemented in the experiments. It is
observed that all experimental results show an amplitude increase according to
the phenomenon. Both the carrier wave frequency and the modulation period are
preserved during the wave propagation. As predicted by the theoretical model, a
phase singularity is also observed in the experiments. Due to frequency
downshift phenomenon, the experimental signal and spectrum lose their symmetric
property. Another qualitative comparison indicates that the Wessel curves for
the experimental results are the perturbed version of the theoretical ones.


title: Robust Moving Objects Detection in Lidar Data Exploiting Visual Cues

abstract:
  Detecting moving objects in dynamic scenes from sequences of lidar scans is
an important task in object tracking, mapping, localization, and navigation.
Many works focus on changes detection in previously observed scenes, while a
very limited amount of literature addresses moving objects detection. The
state-of-the-art method exploits Dempster-Shafer Theory to evaluate the
occupancy of a lidar scan and to discriminate points belonging to the static
scene from moving ones. In this paper we improve both speed and accuracy of
this method by discretizing the occupancy representation, and by removing false
positives through visual cues. Many false positives lying on the ground plane
are also removed thanks to a novel ground plane removal algorithm. Efficiency
is improved through an octree indexing strategy. Experimental evaluation
against the KITTI public dataset shows the effectiveness of our approach, both
qualitatively and quantitatively with respect to the state- of-the-art.


title: Hydrogen in hot subdwarfs formed by double helium white dwarf mergers

abstract:
  Isolated hot subdwarfs might be formed by the merging of two helium-core
white dwarfs. Before merging, helium-core white dwarfs have hydrogen-rich
envelopes and some of this hydrogen may survive the merger. We calculate the
mass of hydrogen that is present at the start of such mergers and, with the
assumption that hydrogen is mixed throughout the disrupted white dwarf in the
merger process, estimate how much can survive. We find a hydrogen mass of up to
about $2 \times 10^{-3}\,\mathrm{M}_{\odot}$ in merger remnants. We make model
merger remnants that include the hydrogen mass appropriate to their total mass
and compare their atmospheric parameters with a sample of apparently isolated
hot subdwarfs, hydrogen-rich sdBs. The majority of these stars can be explained
as the remnants of double helium white dwarf mergers.


title:
Experience with Heuristics, Benchmarks & Standards for Cylindrical
  Algebraic Decomposition

abstract:
  In the paper which inspired the SC-Square project, [E. Abraham, Building
Bridges between Symbolic Computation and Satisfiability Checking, Proc. ISSAC
'15, pp. 1-6, ACM, 2015] the author identified the use of sophisticated
heuristics as a technique that the Satisfiability Checking community excels in
and from which it is likely the Symbolic Computation community could learn and
prosper. To start this learning process we summarise our experience with
heuristic development for the computer algebra algorithm Cylindrical Algebraic
Decomposition. We also propose and discuss standards and benchmarks as another
area where Symbolic Computation could prosper from Satisfiability Checking
expertise, noting that these have been identified as initial actions for the
new SC-Square community in the CSA project, as described in [E.~Abraham et al.,
SC$^2$: Satisfiability Checking meets Symbolic Computation (Project Paper)},
Intelligent Computer Mathematics (LNCS 9761), pp. 28--43, Springer, 2015].


title: Pano2CAD: Room Layout From A Single Panorama Image

abstract:
  This paper presents a method of estimating the geometry of a room and the 3D
pose of objects from a single 360-degree panorama image. Assuming Manhattan
World geometry, we formulate the task as a Bayesian inference problem in which
we estimate positions and orientations of walls and objects. The method
combines surface normal estimation, 2D object detection and 3D object pose
estimation. Quantitative results are presented on a dataset of synthetically
generated 3D rooms containing objects, as well as on a subset of hand-labeled
images from the public SUN360 dataset.