title:
Next-to-next-to-leading order Skyrme interaction in nuclear matter:
  Nuclear bulk quantities at second order in perturbation theory

abstract:
  We present the explicit form of the next-to-next-to-leading order (N$^2$LO)
Skyrme interaction in momentum space by including the fourth-order gradient
potentials to the standard Skyrme interaction. With the N$^2$LO Skyrme
interaction, we evaluate the second-order corrections to the nuclear bulk
quantities of nuclear matter: equation of state (EoS) of isospin symmetric and
pure neutron matter, density-dependent in-medium effective nucleon mass,
isospin-asymmetry energy, pressure and incompressibility. These second-order
contributions are ultraviolet (UV) divergent due to the zero range character of
the interaction and renormalized using the techniques of dimensional
regularization (DR) with the minimal subtraction scheme (MS). We adjust the 18
parameters of the interaction by performing a global fit to the nuclear bulk
quantities. Besides the too strong dependence $k_F^{12}$ of several
second-order corrections, a very good reproduction of a realistic nuclear
matter saturation curve with all the nuclear bulk quantities in the density
region $0.12<\rho<0.20\;$ fm$^{-3}$ is obtained.


title: Cantor meets Scott: Semantic Foundations for Probabilistic Networks

abstract:
  ProbNetKAT is a probabilistic extension of NetKAT with a denotational
semantics based on Markov kernels. The language is expressive enough to
generate continuous distributions, which raises the question of how to compute
effectively in the language. This paper gives an new characterization of
ProbNetKAT's semantics using domain theory, which provides the foundation
needed to build a practical implementation. We show how to use the semantics to
approximate the behavior of arbitrary ProbNetKAT programs using distributions
with finite support. We develop a prototype implementation and show how to use
it to solve a variety of problems including characterizing the expected
congestion induced by different routing schemes and reasoning probabilistically
about reachability in a network.


title: Statistical inference for the doubly stochastic self-exciting process

abstract:
  We introduce and show the existence of a Hawkes self-exciting point process
with exponentially-decreasing kernel and where parameters are time-varying. The
quantity of interest is defined as the integrated parameter
$T^{-1}\int_0^T\theta_t^*dt$, where $\theta_t^*$ is the time-varying parameter,
and we consider the high-frequency asymptotics. To estimate it na\"ively, we
chop the data into several blocks, compute the maximum likelihood estimator
(MLE) on each block, and take the average of the local estimates. The
asymptotic bias explodes asymptotically, thus we provide a non-na\"ive
estimator which is constructed as the na\"ive one when applying a first-order
bias reduction to the local MLE. We show the associated central limit theorem.
Monte Carlo simulations show the importance of the bias correction and that the
method performs well in finite sample, whereas the empirical study discusses
the implementation in practice and documents the stochastic behavior of the
parameters.


title:
Personalization Effect on Emotion Recognition from Physiological Data:
  An Investigation of Performance on Different Setups and Classifiers

abstract:
  This paper addresses the problem of emotion recognition from physiological
signals. Features are extracted and ranked based on their effect on
classification accuracy. Different classifiers are compared. The inter-subject
variability and the personalization effect are thoroughly investigated, through
trial-based and subject-based cross-validation. Finally, a personalized model
is introduced, that would allow for enhanced emotional state prediction, based
on the physiological data of subjects that exhibit a certain degree of
similarity, without the requirement of further feedback.


title:
On the thermodynamically consistent quasiparticle model of quark gluon
  plasma

abstract:
  We give the alternative formulation of quasiparticle model of quark gluon
plasma with medium dependent dispersion relation. The model is
thermodynamically consistent provided the medium dependent contribution to the
energy density is taken in to account. We establish the connection of our model
with other variants of quasiparticle models which are thermodynamically
consistent. We test the model by comparing the equation of state with the
lattice gauge theory simulations of SU(3) pure gluodynamics .


title: Photovoltaic anomalous Hall effect in line-node semimetals

abstract:
  We theoretically study the circularly polarized light-induced Floquet state
in line-node semimetals with time-reversal symmetry and inversion symmetry. It
is found that the Floquet state can show the photovoltaic anomalous Hall effect
when an applied circularly polarized light gaps out the line node in the bulk
and leave Weyl point nodes. The Hall conductivity is sensitive to the location
of Fermi level: When the Fermi level locates at the node, the Hall conductivity
depends on the radius of line node and is nearly independent of the intensity
of light. Away from the line node, the Hall conductivity is dependent on the
intensity of light. Such a sensitive Fermi-level dependence of the Hall
conductivity in the presence of a weak laser intensity can have applications in
phototransistors based on thin films of line-node semimetals.


title:
Statistical survey and analysis of photometric and spectroscopic data on
  NEAS

abstract:
  Studies on Near Earth Asteroids (NEAs) throw light on discoveries,
identification, orbit prediction and civil alert capabilities, including
potential asteroid impact hazards. Due to various new observational programs,
the discovery rate of NEAs has drastically increased over the last few years.
In this paper we present the statistical survey and analysis of fundamental
parameters (derived from Photometric and Spectroscopic observations) of a large
sample of NEAs from various databases like IAU Minor Planet Center, European
Asteroid Research Node (E.A.R.N.), Near Earth Objects - Dynamic Site (NEODyS-
2), M4AST and SMASSMTT portals. We also discuss the characterization of NEAs on
the basis of the correlations between theparametersstudied from different
observationsand theirphysical implicationsin understanding the nature and
physical properties of these objects.
  Keywords: NEOs; Apollo; Amor; Aten; Observations: Photometric, Spectroscopic.


title: Improved Deep Learning of Object Category using Pose Information

abstract:
  Despite significant recent progress, the best available computer vision
algorithms still lag far behind human capabilities, even for recognizing
individual discrete objects under various poses, illuminations, and
backgrounds. Here we present a new approach to using object pose information to
improve deep network learning. While existing large-scale datasets, e.g.
ImageNet, do not have pose information, we leverage the newly published
turntable dataset, iLab-20M, which has ~22M images of 704 object instances shot
under different lightings, camera viewpoints and turntable rotations, to do
more controlled object recognition experiments. We introduce a new
convolutional neural network architecture, what/where CNN (2W-CNN), built on a
linear-chain feedforward CNN (e.g., AlexNet), augmented by hierarchical layers
regularized by object poses. Pose information is only used as feedback signal
during training, in addition to category information; during test, the
feedforward network only predicts category. To validate the approach, we train
both 2W-CNN and AlexNet using a fraction of the dataset, and 2W-CNN achieves 6%
performance improvement in category prediction. We show mathematically that
2W-CNN has inherent advantages over AlexNet under the stochastic gradient
descent (SGD) optimization procedure. Further more, we fine-tune object
recognition on ImageNet by using the pretrained 2W-CNN and AlexNet features on
iLab-20M, results show that significant improvements have been achieved,
compared with training AlexNet from scratch. Moreover, fine-tuning 2W-CNN
features performs even better than fine-tuning the pretrained AlexNet features.
These results show pretrained features on iLab- 20M generalizes well to natural
image datasets, and 2WCNN learns even better features for object recognition
than AlexNet.


title: Dispelling Rayleigh's Curse

abstract:
  We devise a systematic method to determine the Fisher information required
for resolving two incoherent point sources with a diffraction-limited linear
imaging device. The resulting Cram\'er-Rao bound gives the lowest variance
achievable for an unbiased estimator. When only intensity in the image plane is
recorded, this bound diverges as the separation between the sources tends to
zero, an effect which has been dubbed as Rayleigh's curse. However, this curse
can be lifted using suitable coherent measurements. In particular, we determine
a class of measurements that can be easily implemented as projections on the
orthogonalised derivatives of the point spread function of the system.


title: On the dimension of twisted centralizer codes

abstract:
  Given a field $F$, a scalar $\lambda\in F$ and a matrix $A\in F^{n\times n}$,
the twisted centralizer code $C_F(A,\lambda):=\{B\in F^{n\times n}\mid
AB-\lambda BA=0\}$ is a linear code of length $n^2$. When $A$ is cyclic and
$\lambda\ne0$ we prove that $\dim
C_F(A,\lambda)=\mathrm{deg}(\gcd(c_A(t),\lambda^n c_A(\lambda^{-1}t)))$ where
$c_A(t)$ denotes the characteristic polynomial of $A$. We also show how
$C_F(A,\lambda)$ decomposes, and we estimate the probability that
$C_F(A,\lambda)$ is nonzero when $|F|$ is finite. Finally, we prove $\dim
C_F(A,\lambda)\leqslant n^2/2$ for $\lambda\not\in\{0,1\}$ and `almost all'
matrices $A$.


title:
Superpixel-based Two-view Deterministic Fitting for Multiple-structure
  Data

abstract:
  This paper proposes a two-view deterministic geometric model fitting method,
termed Superpixel-based Deterministic Fitting (SDF), for multiple-structure
data. SDF starts from superpixel segmentation, which effectively captures prior
information of feature appearances. The feature appearances are beneficial to
reduce the computational complexity for deterministic fitting methods. SDF also
includes two original elements, i.e., a deterministic sampling algorithm and a
novel model selection algorithm. The two algorithms are tightly coupled to
boost the performance of SDF in both speed and accuracy. Specifically, the
proposed sampling algorithm leverages the grouping cues of superpixels to
generate reliable and consistent hypotheses. The proposed model selection
algorithm further makes use of desirable properties of the generated
hypotheses, to improve the conventional fit-and-remove framework for more
efficient and effective performance. The key characteristic of SDF is that it
can efficiently and deterministically estimate the parameters of model
instances in multi-structure data. Experimental results demonstrate that the
proposed SDF shows superiority over several state-of-the-art fitting methods
for real images with single-structure and multiple-structure data.


title: Evaluating the Strength of Genomic Privacy Metrics

abstract:
  The genome is a unique identifier for human individuals. The genome also
contains highly sensitive information, creating a high potential for misuse of
genomic data (for example, genetic discrimination). In this paper, I
investigated how genomic privacy can be measured in scenarios where an
adversary aims to infer a person's genomic markers by constructing probability
distributions on the values of genetic variations. I measured the strength of
privacy metrics by requiring that metrics are monotonic with increasing
adversary strength and uncovered serious problems with several existing metrics
currently used to measure genomic privacy. I provide suggestions on metric
selection, interpretation, and visualization, and illustrate the work flow
using a case study on Alzheimer's disease.


title:
Dielectric surface loss in superconducting resonators with flux-trapping
  holes

abstract:
  Surface distributions of two level system (TLS) defects and magnetic vortices
are limiting dissipation sources in superconducting quantum circuits. Arrays of
flux-trapping holes are commonly used to eliminate loss due to magnetic
vortices, but may increase dielectric TLS loss. We find that dielectric TLS
loss increases by approximately 25% for resonators with a hole array beginning
2 $\mu \text{m}$ from the resonator edge, while the dielectric loss added by
holes further away was below measurement sensitivity. Other forms of loss were
not affected by the holes. Additionally, we estimate the loss due to residual
magnetic effects to be $9\times 10^{-10} /\mu\text{T} $ for resonators
patterned with flux-traps and operated in magnetic fields up to $5$
$\mu\text{T}$. This is orders of magnitude below the total loss of the best
superconducting coplanar waveguide resonators.


title:
Moderate deviations for parameters estimation in a geometrically ergodic
  Heston process

abstract:
  We establish a moderate deviation principle for the maximum likelihood
estimator of the four parameters of a geometrically ergodic Heston process. We
also obtain moderate deviations for the maximum likelihood estimator of the
couple of dimensional and drift parameters of a generalized squared radial
Ornstein-Uhlenbeck process. We restrict ourselves to the most tractable case
where the dimensional parameter satisfies $a>2$ and the drift coefficient is
such that $b<0$. In contrast to the previous literature, parameters are
estimated simultaneously.


title: Effective three particle forces in polyvalent atoms

abstract:
  We study effective three-particle interactions between valence electrons,
which are induced by the core polarization. Such interactions are enhanced when
valence orbitals have strong overlap with the outermost core shell, in
particular for the systems with partially filled f-shell. We find that in
certain cases the three-particle contributions are large, affecting the order
of energy levels, and need to be included in high-precision calculations.


title:
Envelope equation for the linear and nonlinear propagation of an
  electron plasma wave, including the effects of Landau damping, trapping,
  plasma inhomogeneity, and the change in the state of wave

abstract:
  This paper addresses the linear and nonlinear three-dimensional propagation
of an electron wave in a collisionless plasma that may be inhomogeneous,
nonstationary, anisotropic and even weakly magnetized. The wave amplitude,
together with any hydrodynamic quantity characterizing the plasma (density,
temperature,...) are supposed to vary very little within one wavelength or one
wave period. Hence, the geometrical optics limit is assumed, and the wave
propagation is described by a first order differential equation. This equation
explicitly accounts for three-dimensional effects, plasma inhomogeneity, Landau
damping, and the collisionless dissipation and electron acceleration due to
trapping. It is derived by mixing results obtained from a direct resolution of
the Vlasov-Poisson system and from a variational formalism involving a nonlocal
Lagrangian density. In a one-dimensional situation, abrupt transitions are
predicted in the coefficients of the wave equation. They occur when the state
of the electron plasma wave changes, from a linear wave to a wave with trapped
electrons. In a three dimensional geometry, the transitions are smoother,
especially as regards the nonlinear Landau damping rate, for which a very
simple effective and accurate analytic expression is provided.


title:
Identifying Candidate Risk Factors for Prescription Drug Side Effects
  using Causal Contrast Set Mining

abstract:
  Big longitudinal observational databases present the opportunity to extract
new knowledge in a cost effective manner. Unfortunately, the ability of these
databases to be used for causal inference is limited due to the passive way in
which the data are collected resulting in various forms of bias. In this paper
we investigate a method that can overcome these limitations and determine
causal contrast set rules efficiently from big data. In particular, we present
a new methodology for the purpose of identifying risk factors that increase a
patients likelihood of experiencing the known rare side effect of renal failure
after ingesting aminosalicylates. The results show that the methodology was
able to identify previously researched risk factors such as being prescribed
diuretics and highlighted that patients with a higher than average risk of
renal failure may be even more susceptible to experiencing it as a side effect
after ingesting aminosalicylates.


title: Physics of Higgs Boson Family

abstract:
  In the Standard Model, there is the single Higgs field, $\phi$, which gives
rise to constituent quark and lepton masses. The Yukawa coupling is a highly
complex set of $3 \times 3$ matrices, resulting in many textures of quark and
lepton masses. In this talk, I present a model which transfers the complexity
of the Yukawa coupling matrices to a family of Higgs fields, so that the Yukawa
coupling itself becomes a simple interaction. In the context of this Enriched
Standard Model, we introduce a new $r$-symmetry in the extended $SU(2)_L \times
U(1)_Y \times U(1)_R$ model and show how the $125 \;GeV$ and $750 \;GeV$
resonances may be identified with $H$ and $H'$, the key members of the Higgs
family, with $H$ being in every way identifed with the SM Higgs. There are
interesting consequences of their $2 \gamma$ decay widths.


title:
Early-time signatures of {\gamma}-ray emission from supernovae in dense
  circumstellar media

abstract:
  We present our results on the {\gamma}-ray emission from interaction-powered
supernovae (SNe), a recently discovered SN type that is suggested to be
surrounded by a circumstellar medium (CSM) with densities 10^7-10^12~ cm^-3.
Such high densities favor inelastic collisions between relativistic protons
accelerated in the SN blast wave and CSM protons and the production of
{\gamma}-ray photons through neutral pion decays. Using a numerical code that
includes synchrotron radiation, adiabatic losses due to the expansion of the
source, photon-photon interactions, proton-proton collisions and proton-photon
interactions, we calculate the multi-wavelength non-thermal photon emission
soon after the shock breakout and follow its temporal evolution until 100-1000
days. Focusing on the {\gamma}-ray emission at >100 MeV, we show that this
could be detectable by the Fermi-LAT telescope for nearby (<10 Mpc) SNe with
dense CSM (>10^11 cm^-3).


title: Intersection Spaces, Equivariant Moore Approximation and the Signature

abstract:
  We generalize the first author's construction of intersection spaces to the
case of stratified pseudomanifolds of stratification depth 1 with twisted link
bundles, assuming that each link possesses an equivariant Moore approximation
for a suitable choice of structure group. As a by-product, we find new
characteristic classes for fiber bundles admitting such approximations. For
trivial bundles and flat bundles whose base has finite fundamental group these
classes vanish. For oriented closed pseudomanifolds, we prove that the reduced
rational cohomology of the intersection spaces satisfies global Poincar\'e
duality across complementary perversities if the characteristic classes vanish.
The signature of the intersection spaces agrees with the Novikov signature of
the top stratum. As an application, these methods yield new results about the
Goresky-MacPherson intersection homology signature of pseudomanifolds. We
discuss several nontrivial examples, such as the case of flat bundles and
symplectic toric manifolds.


title: Spin Multiplicities

abstract:
  The number of times spin s appears in the Kronecker product of n spin j
representations is computed, and the large n asymptotic behavior of the result
is obtained. Applications are briefly sketched.


title: Conditionally Optimal Algorithms for Generalized B\"uchi Games

abstract:
  Games on graphs provide the appropriate framework to study several central
problems in computer science, such as the verification and synthesis of
reactive systems. One of the most basic objectives for games on graphs is the
liveness (or B\"uchi) objective that given a target set of vertices requires
that some vertex in the target set is visited infinitely often. We study
generalized B\"uchi objectives (i.e., conjunction of liveness objectives), and
implications between two generalized B\"uchi objectives (known as GR(1)
objectives), that arise in numerous applications in computer-aided
verification. We present improved algorithms and conditional super-linear lower
bounds based on widely believed assumptions about the complexity of (A1)
combinatorial Boolean matrix multiplication and (A2) CNF-SAT. We consider graph
games with $n$ vertices, $m$ edges, and generalized B\"uchi objectives with $k$
conjunctions. First, we present an algorithm with running time $O(k \cdot
n^2)$, improving the previously known $O(k \cdot n \cdot m)$ and $O(k^2 \cdot
n^2)$ worst-case bounds. Our algorithm is optimal for dense graphs under (A1).
Second, we show that the basic algorithm for the problem is optimal for sparse
graphs when the target sets have constant size under (A2). Finally, we consider
GR(1) objectives, with $k_1$ conjunctions in the antecedent and $k_2$
conjunctions in the consequent, and present an $O(k_1 \cdot k_2 \cdot
n^{2.5})$-time algorithm, improving the previously known $O(k_1 \cdot k_2 \cdot
n \cdot m)$-time algorithm for $m > n^{1.5}$.


title: Learning to Recognize Objects by Retaining other Factors of Variation

abstract:
  Natural images are generated under many factors, including shape, pose,
illumination etc. Most existing ConvNets formulate object recognition from
natural images as a single task classification problem, and attempt to learn
features useful for object categories, but invariant to other factors of
variation as much as possible. These architectures do not explicitly learn
other factors, like pose and lighting, instead, they usually discard them by
pooling and normalization. In this work, we take the opposite approach: we
train ConvNets for object recognition by retaining other factors (pose in our
case) and learn them jointly with object category. We design a new multi-task
leaning (MTL) ConvNet, named disentangling CNN (disCNN), which explicitly
enforces the disentangled representations of object identity and pose, and is
trained to predict object categories and pose transformations. We show that
disCNN achieves significantly better object recognition accuracies than AlexNet
trained solely to predict object categories on the iLab-20M dataset, which is a
large scale turntable dataset with detailed object pose and lighting
information. We further show that the pretrained disCNN/AlexNet features on
iLab- 20M generalize to object recognition on both Washington RGB-D and
ImageNet datasets, and the pretrained disCNN features are significantly better
than the pretrained AlexNet features for fine-tuning object recognition on the
ImageNet dataset.


title:
Multi-wavelength observations of the gamma-ray flaring quasar S4 1030+61
  in 2009-2014

abstract:
  We present a study of the parsec-scale multi-frequency properties of the
quasar S4 1030+61 during a prolonged radio and gamma-ray activity. Observations
were performed within Fermi gamma-ray telescope, OVRO 40-m telescope and MOJAVE
VLBA monitoring programs, covering five years from 2009. The data are
supplemented by four-epoch VLBA observations at 5, 8, 15, 24, and 43 GHz, which
were triggered by the bright gamma-ray flare, registered in the quasar in 2010.
The S4 1030+61 jet exhibits an apparent superluminal velocity of (6.4+-0.4)c
and does not show ejections of new components in the observed period, while
decomposition of the radio light curve reveals nine prominent flares. The
measured variability parameters of the source show values typical for
Fermi-detected quasars. Combined analysis of radio and gamma-ray emission
implies a spatial separation between emitting regions at these bands of about
12 pc and locates the gamma-ray emission within a parsec from the central
engine. We detected changes in the value and direction of the linear
polarization and the Faraday rotation measure. The value of the intrinsic
brightness temperature of the core is above the equipartition state, while its
value as a function of distance from the core is well approximated by the
power-law. Altogether these results show that the radio flaring activity of the
quasar is accompanied by injection of relativistic particles and energy losses
at the jet base, while S4 1030+61 has a stable, straight jet well described by
standard conical jet theories.


title: Recent advances in opinion modeling: control and social influence

abstract:
  We survey some recent developments on the mathematical modeling of opinion
dynamics. After an introduction on opinion modeling through interacting
multi-agent systems described by partial differential equations of kinetic
type, we focus our attention on two major advancements: optimal control of
opinion formation and influence of additional social aspects, like conviction
and number of connections in social networks, which modify the agents' role in
the opinion exchange process.


title: High-order dispersion effects in two-photon interference

abstract:
  Two-photon interference and Hong-Ou-Mandel (HOM) effect are relevant tools
for quantum metrology and quantum information processing. In optical coherence
tomography, HOM effect is exploited to achieve high-resolution measurements
with the width of the HOM dip being the main parameter. On the other hand,
applications like dense coding require high-visibility performances. Here we
address high-order dispersion effects in two-photon interference and study,
theoretically and experimentally, the dependence of the visibility and the
width of the HOM dip on both the pump spectrum and the downconverted photon
spectrum. In particular, a spatial light modulator is exploited to
experimentally introduce and manipulate a custom phase function to simulate the
high-order dispersion effects.


title:
Mechanosensing in myosin filament solves a 60 years old conflict in
  skeletal muscle modeling between high power output and slow rise in tension

abstract:
  Almost 60 years ago Andrew Huxley with his seminal paper \cite{Huxley1957}
laid the foundation of modern muscle modeling, linking chemical events to
mechanical performance. He described mechanics and energetics of muscle
contraction through the cyclical attachment and detachment of myosin motors to
the actin filament with ad hoc assumptions on the dependence of the rate
constants on the strain of the myosin motors. That relatively simple hypothesis
is still present in recent models, even though with several modifications to
adapt the model to the different experimental constraints which became
subsequently available. However, already in that paper, one controversial
aspect of the model became clear. Relatively high attachment and detachment
rates of myosin to the actin filament were needed to simulate the high power
output at intermediate velocity of contraction. However, these rates were
incompatible with the relatively slow rise in tension after activation, despite
the rise should be generated by the same rate functions. This discrepancy has
not been fully solved till today, despite several hypotheses have been
forwarded to reconcile the two aspects. Here, using a conventional muscle
model, we show that the recently revealed mechanosensing mechanism of
recruitment of myosin motors \cite{Linarietal2015} can solve this long standing
problem without any further ad-hoc hypotheses.


title:
Structure of the $\mathbf{\Lambda(1405)}$ from Hamiltonian effective
  field theory

abstract:
  The pole structure of the $\Lambda(1405)$ is examined by fitting the
couplings of an underlying Hamiltonian effective field theory to cross sections
of $K^- p$ scattering in the infinite-volume limit. Finite-volume spectra are
then obtained from the theory, and compared to lattice QCD results for the mass
of the $\Lambda(1405)$. Momentum-dependent, non-separable potentials motivated
by the well-known Weinberg-Tomozawa terms are used, with SU(3) flavour symmetry
broken in the couplings and masses. In addition, we examine the effect on the
behaviour of the spectra from the inclusion of a bare triquark-like
isospin-zero basis state. It is found that the cross sections are consistent
with the experimental data with two complex poles for the $\Lambda(1405)$,
regardless of whether a bare baryon basis state is introduced or not. However,
it is apparent that the bare baryon is important for describing the results of
lattice QCD at high pion masses.


title:
Dynamic Pair Correlations and Superadiabatic Forces in a Dense Brownian
  Liquid

abstract:
  We study dynamic two-body correlation functions, i.e. the two-body density,
the current-density correlator or van Hove current, and the current-current
correlator in Brownian dynamics computer simulations of a dense Lennard-Jones
bulk liquid. The dynamic decay of the correlation shells of the two-body
density is examined in detail. Inner correlation shells decay faster than outer
correlation shells, whereas outer correlation shells remain stable for
increasing times. Within a dynamic test particle picture the mechanism is
assumed to be triggered by the dislocation of the self particle, which releases
the confinement of the surrounding correlation shells. We present a division of
the van Hove current into an adiabatic and a superadiabatic contribution. The
magnitude of the adiabatic van Hove current is found to exceed that of the
total van Hove current, which is consistent with dynamic density functional
theory overestimating the speed of the dynamics. The direction of the
superadiabatic van Hove current opposes that of the total van Hove current. The
current-current correlator reveals detailed insight in the collisions of the
particles. We find a large static nearest-neighbor peak, which results from
colliding particles and different dynamic peaks, that are attributed to
consecutive collisions.


title: Wavelet Variance for Random Fields: an M-Estimation Framework

abstract:
  We present a general M-estimation framework for inference on the wavelet
variance. This framework generalizes the results on the scale-wise properties
of the standard estimator and extends them to deliver the joint asymptotic
properties of the estimated wavelet variance vector. Moreover, this is achieved
by extending the estimation of the wavelet variance to multidimensional random
fields and by stating the necessary conditions for these properties to hold
when the size of the wavelet variance vector goes to infinity with the sample
size. Finally, these results generally hold when using bounded estimating
functions thereby delivering a robust framework for the estimation of this
quantity which improves over existing methods both in terms of asymptotic
properties and in terms of its finite sample performance. The proposed
estimator is investigated in simulation studies and different applications
highlighting its good properties.


title: Continuity of Random Fields on Riemannian Manifolds

abstract:
  A theorem of the Kolmogorov--Chentsov type is proved for random fields on a
Riemannian manifold.


title:
Predicting the singlet vector channel in a partially Higgsed gauge
  theory

abstract:
  We study a toy version of a grand-unified theory on the lattice: An $SU(3)$
gauge theory, which experiences a Brout-Englert-Higgs effect due to a single
Higgs field in the fundamental representation. This yields a perturbative
breaking pattern $SU(3) \rightarrow SU(2)$. We investigate the singlet vector
channel, finding an apparently non-degenerate and massive ground state. This is
in contradistinction to the perturbative prediction of three massless and five
massive vector states, even though the correlation functions of the gauge
bosons exhibit a weak-coupling behavior, being almost tree-level-like. However,
a combination of perturbation theory with the Fr\"ohlich-Morchio-Strocchi
mechanism allows to predict the physical spectrum in this channel.


title: Fast and Robust Parametric Estimation for Time Series and Spatial Models

abstract:
  We present a new framework for robust estimation and inference on
second-order stationary time series and random fields. This framework is based
on the Generalized Method of Wavelet Moments which uses the wavelet variance to
achieve parameter estimation for complex models. Using an M-estimator of the
wavelet variance, this method can be made robust therefore allowing to estimate
the parameters of a wide range of time series and spatial models when the data
suffers from outliers or different forms of contamination. The paper presents a
series of simulation studies as well as a range of applications where this new
approach can be considered as a computationally efficient, numerically stable
and robust method which performs at least as well as existing methods in
bounding the influence of outliers on the estimation procedure.


title: tWH associated production at the LHC

abstract:
  We study Higgs boson production in association with a top quark and a $W$
boson at the LHC. At NLO in QCD, $tWH$ interferes with $t\bar t H$ and a
procedure to meaningfully separate the two processes needs to be employed. In
order to define $tWH$ production for both total rates and differential
distributions, we consider the diagram removal and diagram subtraction
techniques that have been previously proposed for treating intermediate
resonances at NLO, in particular in the context of $tW$ production. These
techniques feature approximations that need to be carefully taken into account
when theoretical predictions are compared to experimental measurements. To this
aim, we first critically revisit the $tW$ process, for which an extensive
literature exists and where an analogous interference with $t \bar t$
production takes place. We then provide robust results for total and
differential cross sections for $tW$ and $tWH$ at 13 TeV, also matching
short-distance events to a parton shower. We formulate a reliable prescription
to estimate the theoretical uncertainties, including those associated to the
very definition of the process at NLO. Finally, we study the sensitivity to a
non-Standard-Model relative phase between the Higgs couplings to the top quark
and to the $W$ boson in $tWH$ production.


title: Quantum Gravity Effects On Charged Micro Black Holes Thermodynamics

abstract:
  The charged black hole thermodynamics is corrected in terms of the quantum
gravity effects. Most of the quantum gravity theories support the idea that
near the Planck scale, the standard Heisenberg uncertainty principle should be
reformulated by the so-called Generalized Uncertainty Principle (GUP) which
provides a perturbation framework to perform required modifications of the
black hole quantities. In this paper, we consider the effects of the minimal
length and maximal momentum as GUP type I and the minimal length, minimal
momentum, and maximal momentum as GUP type II on thermodynamics of the charged
TeV-scale black holes. We also generalized our study to the universe with the
extra dimensions based on the ADD model. In this framework, the effect of the
electrical charge on thermodynamics of the black hole and existence of the
charged black hole remnants as a potential candidate for the dark matter
particles are discussed.


title:
On the Sylvester-Gallai and the orchard problem for pseudoline
  arrangements

abstract:
  We study a non-trivial extreme case of the orchard problem for $12$
pseudolines and we provide a complete classification of pseudoline arrangements
having $19$ triple points and $9$ double points. We have also classified those
that can be realized with straight lines. They include new examples different
from the known example of B\"or\"oczky. Since Melchior's inequality also holds
for arrangements of pseudolines, we are able to deduce that some combinatorial
point-line configurations cannot be realized using pseudolines. In particular,
this gives a negative answer to one of Gr\"unbaum's problems. We formulate some
open problems which involve our new examples of line arrangements.


title: Einstein-Podolsky-Rosen paradox in a hybrid bipartite system

abstract:
  Entanglement of light and matter is an essential resource for effective
quantum engineering. In particular, collective states of atomic ensembles are
robust against decoherence while preserving the possibility of strong
interaction with quantum states of light. While previous approaches to
continous-variable quantum interfaces relied on quadratures of light, here we
present an approach based on spatial structure of light-atom entanglement. We
create and characterize a 12-dimensional entangled state exhibiting quantum
correlations between a photon and an atomic ensemble in position and momentum
bases. This state allows us to demonstrate the original Einstein-Podolsky-Rosen
(EPR) paradox with two different entities, with an unprecedented delay time of
6 $\mu$s between generation of entanglement and detection of the atomic state.


title: A note on the architecture of spacetime geometry

abstract:
  Recently the $\text{SU}(2)$ spin-network states in loop quantum gravity is
generalized to those of the corresponding affine Lie algebra. We show that if
one literally starts from the full $\text{SL}(2,\mathbb{C})$ group, this
procedure naturally leads to the Bekenstein-Hawking formula of the entanglement
entropy for any macroscopic spacetime region. This suggests that a smooth
spacetime geometry could be recovered in such a way, as conjectured by Bianchi
and Myers. Some comparison with Xiao-Gang Wen's string-net picture of gauge
theory is made.


title:
Asymptotic bounds on the globally optimal positions of orthogonal
  stiffeners for rectangular plates in elastostatic bending

abstract:
  The present paper treats the problem of finding the asymptotic bounds for the
globally optimal locations of orthogonal stiffeners minimizing the compliance
of a rectangular plate in elastostatic bending. The essence of the paper is the
utilization of a method of analysis of orthogonally stiffened rectangular
plates first presented by Mazurkiewicz in 1962, and obtained herein in a closed
form for several special cases in the approximation of stiffeners having zero
torsional rigidity. Asymptotic expansions of the expressions for the deflection
field of a stiffened plate are used to derive limit-case globally optimal
stiffening layouts for highly flexible and highly rigid stiffeners. A central
result obtained in this work is an analytical proof of the fact that an array
of flexible enough orthogonal stiffeners of any number, stiffening a
simply-supported rectangular plate subjected to any lateral loading, is best to
be put in the form of exactly two orthogonal stiffeners, one in each direction.


title:
Evaluating On-demand Pseudonym Acquisition Policies in Vehicular
  Communication Systems

abstract:
  Standardization and harmonization efforts have reached a consensus towards
using a special-purpose Vehicular Public-Key Infrastructure (VPKI) in upcoming
Vehicular Communication (VC) systems. However, there are still several
technical challenges with no conclusive answers; one such an important yet open
challenge is the acquisition of shortterm credentials, pseudonym: how should
each vehicle interact with the VPKI, e.g., how frequently and for how long?
Should each vehicle itself determine the pseudonym lifetime? Answering these
questions is far from trivial. Each choice can affect both the user privacy and
the system performance and possibly, as a result, its security. In this paper,
we make a novel systematic effort to address this multifaceted question. We
craft three generally applicable policies and experimentally evaluate the VPKI
system performance, leveraging two large-scale mobility datasets. We consider
the most promising, in terms of efficiency, pseudonym acquisition policies; we
find that within this class of policies, the most promising policy in terms of
privacy protection can be supported with moderate overhead. Moreover, in all
cases, this work is the first to provide tangible evidence that the
state-of-the-art VPKI can serve sizable areas or domain with modest computing
resources.


title:
Indebted households profiling: a knowledge discovery from database
  approach

abstract:
  A major challenge in consumer credit risk portfolio management is to classify
households according to their risk profile. In order to build such risk
profiles it is necessary to employ an approach that analyses data
systematically in order to detect important relationships, interactions,
dependencies and associations amongst the available continuous and categorical
variables altogether and accurately generate profiles of most interesting
household segments according to their credit risk. The objective of this work
is to employ a knowledge discovery from database process to identify groups of
indebted households and describe their profiles using a database collected by
the Consumer Credit Counselling Service (CCCS) in the UK. Employing a framework
that allows the usage of both categorical and continuous data altogether to
find hidden structures in unlabelled data it was established the ideal number
of clusters and such clusters were described in order to identify the
households who exhibit a high propensity of excessive debt levels.


title: Quantum logic is undecidable

abstract:
  We investigate the first-order theory of closed subspaces of complex Hilbert
spaces in the signature $(\lor,\perp,0,1)$, where `$\perp$' is the
orthogonality relation. Our main result is that already its quasi-identities
are undecidable: there is no algorithm to decide whether an implication between
equations and orthogonality relations implies another equation. This is a
corollary of a recent result of Slofstra in combinatorial group theory. It
follows upon reinterpreting that result in terms of the hypergraph approach to
quantum contextuality, for which it constitutes a proof of the inverse sandwich
conjecture. It can also be interpreted as stating that a certain quantum
satisfiability problem is undecidable.


title: Evolution of states in a continuum migration model

abstract:
  The Markov evolution of states of a continuum migration model is studied. The
model describes an infinite system of entities placed in $\mathds{R}^d$ in
which the constituents appear (immigrate) with rate $b(x)$ and disappear, also
due to competition. For this model, we prove the existence of the evolution of
states $\mu_0 \mapsto \mu_t$ such that the moments $\mu_t(N_\Lambda^n)$, $n\in
\mathds{N}$, of the number of entities in compact $\Lambda \subset
\mathds{R}^d$ remain bounded for all $t>0$. Under an additional condition, we
prove that the density of entities and the second correlation function remain
bounded globally in time.


title: Elusive structure of helium trimers

abstract:
  Over the years many He-He interaction potentials have been developed, some
very sophisticated, including various corrections beyond Born-Oppenheimer
approximation. Most of them were used to predict properties of helium dimers
and trimers, examples of exotic quantum states, whose experimental study proved
to be very challenging. Recently, detailed structural properties of helium
trimers were measured for the first time, allowing a comparison with
theoretical predictions and possibly enabling the evaluation of different
interaction potentials. The comparisons already made included adjusting the
maxima of both theoretical and experimental correlation functions to one, so
the overall agreement between theory and experiment appeared satisfactory.
However, no attempt was made to evaluate the quality of the interaction
potentials used in the calculations. In this work, we calculate the
experimentally measured correlation functions using both new and old
potentials, compare them with experimental data and rank the potentials. We use
diffusion Monte Carlo simulations at $T=0\ \mathrm{K}$, which give within
statistical noise exact results of the ground state properties. All models
predict both trimers $^4\mathrm{He}_{3}$ and $^4\mathrm{He}_2{}^3\mathrm{He}$
to be in a quantum halo state.


title:
Superconductivity and Intercalation Statein the
  Lithium-Hexamethylenediamine-Intercalated Superconductor
  Li$_x$(C$_6$H$_{16}$N$_2$)$_y$Fe$_{2-z}$Se$_2$: Dependence on the
  Intercalation Temperature and Lithium Content

abstract:
  The superconductivity and intercalation statein the lithium-and
hexamethylenediamine (HMDA)-intercalated superconductor
Li$_x$(C$_6$H$_{16}$N$_2$)$_y$Fe$_{2-z}$Se$_2$ have been investigated from
powder x-ray diffraction, thermogravimetric and magnetic susceptibility
measurements, changing the intercalation temperature, $T_i$, and the Li
content, $x$. Both Li and HMDA have been co-intercalated stably up to $x$ = 2
roughly in the molar ratio of $x : y = 2 : 1$. In the case of $T_i$ =
45$^\circ$C, it has been found that both Li and HMDA are co-intercalated
locally at the edge of FeSe crystals, indicating that both Li and HMDA are hard
to diffuse into the inside of FeSe crystals at 45$^\circ$C. In the case of
$T_i$ = 100$^\circ$C, on the other hand, it has been found that both Li and
HMDA diffuse into the inside of FeSe crystals, so that $T_c$ tends to increase
with increasing $x$ from ~30 K at $x$ = 1 up to 38 K at $x$ = 2 owing to the
increase of electron carriers doped from Li into the FeSe layers.


title:
An Innovations Algorithm for the prediction of functional linear
  processes

abstract:
  When observations are curves over some natural time interval, the field of
functional data analysis comes into play. Functional linear processes account
for temporal dependence in the data. The prediction problem for functional
linear processes has been solved theoretically, but the focus for applications
has been on functional autoregressive processes. We propose a new
computationally tractable linear predictor for functional linear processes. It
is based on an application of the Multivariate Innovations Algorithm to
finite-dimensional subprocesses of increasing dimension of the
infinite-dimensional functional linear process. We investigate the behavior of
the predictor for increasing sample size. We show that, depending on the decay
rate of the eigenvalues of the covariance and the spectral density operator,
the resulting predictor converges with a certain rate to the theoretically best
linear predictor.


title:
A Generalized Expression for the Gradient of Mutual Information with the
  Application in Multiple Access Channels

abstract:
  Taking a functional approach, we derive a general expression for the gradient
of the Mutual Information (MI) with respect to the system parameters in the
stochastic systems. This expression covers the cases in which the system input
depends on the system parameters. As an application, we consider the K-user
Multiple Access Channels (MAC) with feedback and utilize the obtained results
to explore the behavior of these systems in terms of the MI. Specializing the
results to the additive Gaussian noise MAC, we extend the MI and Minimum Mean
Square Error (MMSE) relationship, i.e., I-MMSE to the K-user Gaussian MAC with
feedback. In this derivation, we show that the gradient of MI can be decomposed
into three distinct parts, where the first part is the MMSE term originated
from noise, and the second and third parts reflect the effects of the
interference and feedback, respectively. Then, considering the capacity
achieving Fourier-Modulated Estimate Correction (F-MEC) strategy of Kramer, we
show how feedback compensates the destructive effects of the users'
interference in the K-user symmetric Gaussian MAC.


title: The Fundamental Group of $SO(n)$ Via Quotients of Braid Groups

abstract:
  We describe an algebraic proof of the well-known topological fact that
$\pi_1(SO(n)) \cong Z/2Z$. The fundamental group of $SO(n)$ appears in our
approach as the center of a certain finite group defined by generators and
relations. The latter is a factor group of the braid group $B_n$, obtained by
imposing one additional relation and turns out to be a nontrivial central
extension by $Z/2Z$ of the corresponding group of rotational symmetries of the
hyperoctahedron in dimension $n$.


title:
Investigating disordered many-body system with entanglement in momentum
  space

abstract:
  We study the entanglement in momentum space of the ground state of a
disordered one-dimensional fermion lattice model with attractive interaction.
We observe two components in the entanglement spectrum, one of which is related
to paired-fermion entanglement and contributes to the long-range correlation in
position space. The vanishing point of it indicates the localization phenomenon
in the ground state of this model. Additionally, by method of entanglement
spectrum, we provide a new evidence to show the transition of two phases
induced by interaction, and fnd that this phase transition is not infuenced by
the disorder. Our result show key characteristics in entanglement for different
phases in the system, and provide a novel perspective to understand
localization phenomena.


title:
Electromagnon in the Z-type hexaferrite $({\rm Ba}_{x}{\rm
  Sr}_{1-x})_3\rm Co_2Fe_{24}O_{41}$

abstract:
  We studied experimentally the high-temperature magnetoelectric $({\rm
Ba}_{x}{\rm Sr}_{1-x})_3\rm Co_2Fe_{24}O_{41}$ prepared as ceramics (x = 0,
0.2) and a single crystal (x = 0.5) using inelastic neutron scattering, THz
time-domain, Raman and far-infrared spectroscopies. The spectra, measured with
varying temperature and magnetic field, reveal rich information about the
collective spin and lattice excitations. In the ceramics, we observed an
infrared-active magnon which is absent in $E^{\omega}\perp z$ polarized THz
spectra of the crystal, and we assume that it is an electromagnon active in
$E^{\omega} \| z$ polarized spectra. On heating from 7 to 250 K, the frequency
of this electromagnon drops from 36 to 25 cm$^{-1}$ and its damping gradually
increases, so it becomes overdamped at room temperature. Applying external
magnetic field has a similar effect on the damping and frequency of the
electromagnon, and the mode is no more observable in the THz spectra above 2 T,
as the transverse-conical magnetic structure transforms into a collinear one.
Raman spectra reveal another spin excitation with a slightly different
frequency and much higher damping. Upon applying magnetic field higher than 3
T, in the low-frequency part of the THz spectra, a narrow excitation appears
whose frequency linearly increases with magnetic field. We interpret this
feature as the ferromagnetic resonance.


title: A refined version of the integro-local Stone theorem

abstract:
  Let $X, X_1, X_2,\ldots $ be a sequence of non-lattice i.i.d. random
variables with ${\bf E} X=0,$ ${\bf E} X=1,$ and let $S_n:= X_1+ \cdots+ X_n$,
$n\ge 1.$ We refine Stone's integro-local theorem by deriving the first term in
the asymptotic expansion for the probability ${\bf P} \bigl(S_n\in
[x,x+\Delta)\bigr)$ with $x\in\mathbb R,$ $\Delta >0,$ as $n\to\infty$ and
establishing uniform bounds for the remainder term, under the assumption that
the distribution of $X$ satisfies Cram\'er's strong non-lattice condition and
${\bf E} |X|^r<\infty$ for some $r\ge 3$.


title:
Magnetoelectric Andreev effect due to proximity-induced non-unitary
  triplet superconductivity in helical metals

abstract:
  Non-centrosymmetric superconductors exhibit the magnetoelectric effect which
manifests itself in the appearance of the magnetic spin polarization in
response to a dissipationless electric current (supercurrent). While much
attention has been dedicated to the thermodynamic version of this phenomenon
(Edelstein effect), non-equilibrium transport magnetoelectric effects have not
been explored yet. We propose the magnetoelectric Andreev effect (MAE) which
consists in the generation of spin-polarized triplet Andreev conductance by an
electric supercurrent. The MAE stems from the spin polarization of the
Cooper-pair condensate due to a supercurrent-induced non-unitary triplet
pairing. We propose the realization of such non-unitary pairing and MAE in
superconducting proximity structures based on two-dimensional helical metals --
strongly spin-orbit-coupled electronic systems with the Dirac spectrum such as
the topological surface states. Our results uncover an unexplored route towards
electrically controlled superconducting spintronics and are a smoking gun for
induced unconventional superconductivity in spin-orbit-coupled materials.


title:
Effect of isoscalar spin-triplet pairings on spin-isospin responses in
  $sd-$ shell nuclei

abstract:
  The spin magnetic dipole transitions and the neutron-proton spin-spin
correlations in $sd-$shell even-even nuclei with $N=Z$ are investigated using
shell model wave functions. The isoscalar spin-triplet pairing correlation
provides a substantial quenching effect on the spin magnetic dipole
transitions, especially the isovector (IV) ones. Consequently, an enhanced
isoscalar spin-triplet pairing interaction influences the proton-neutron
spin-spin correlation deduced from the difference between the isoscalar (IS)
and the IV sum rule strengths. The effect of the $\Delta$ ($\Delta_{33}$
resonance)-hole coupling is examined in the IV spin transition and the
spin-spin correlations of the ground states.


title: Tests of CPT symmetry in B0-B0bar mixing and in B0 to c cbar K0 decays

abstract:
  Using the time dependences for the decays Y(4S) to B0B0bar to (ell^+- X)(c
cbar K_S,L), we determine the three CPT-sensitive parameters Re (z) and Im (z)
in B0-B0bar mixing and |Abar/A| in B0 to c cbar K0 decays. We find Im(z) =
0.010 +- 0.030 +- 0013, Re(z) = -0:065 +- 0.028 +- 0.014, and |Abar/A| = 0.999
+- 0.023 +- 0.017, in agreement with CPT symmetry. The Re(z) result provides a
limit on one component of Lorentz-symmetry violation.


title:
A Sharp upper bound for the spectral radius of a nonnegative matrix and
  applications

abstract:
  In this paper, we obtain a sharp upper bound for the spectral radius of a
nonnegative matrix. This result is used to present upper bounds for the
adjacency spectral radius, the Laplacian spectral radius, the signless
Laplacian spectral radius, the distance spectral radius, the distance Laplacian
spectral radius, the distance signless Laplacian spectral radius of a graph or
a digraph. These results are new or generalize some known results.


title: On the Identifiability of Latent Models for Dependent Data

abstract:
  The condition of parameter identifiability is essential for the consistency
of all estimators and is often challenging to prove. As a consequence, this
condition is often assumed for simplicity although this may not be
straightforward to assume for a variety of model settings. In this paper we
deal with a particular class of models that we refer to as "latent" models
which can be defined as models made by the sum of underlying models, such as a
variety of linear state-space models for time series. These models are of great
importance in many fields, from ecology to engineering, and in this paper we
prove the identifiability of a wide class of (second-order stationary) latent
time series and spatial models and discuss what this implies for some extremum
estimators, thereby reducing the conditions for their consistency to some very
basic regularity conditions. Finally, a specific focus is given to the
Generalized Method of Wavelet Moments estimator which is also able to estimate
intrinsically second-order stationary models.


title:
Intrinsic atomic characterization of 2-microlocal spaces with variable
  exponents on domains

abstract:
  We provide an intrinsic atomic characterization for 2-microlocal Besov and
Triebel-Lizorkin spaces with variable integrability on domains,
$B_{\p,\q}^{\bm{w}}(\Omega)$ and $F_{\p,\q}^{\bm{w}}(\Omega)$, where $\Omega$
is a regular domain. We use the already known decomposition with non-smooth
atoms for the spaces $B_{\p,\q}^{\bm{w}}(\rn)$ and $F_{\p,\q}^{\bm{w}}(\rn)$ in
order to get the main result.


title:
Constraints on ultra-high-energy cosmic ray sources from a search for
  neutrinos above 10 PeV with IceCube

abstract:
  We report constraints on the sources of ultra-high-energy cosmic ray (UHECR)
above $10^{9}$ GeV, based on an analysis of seven years of IceCube data. This
analysis efficiently selects very high energy neutrino-induced events which
have deposited energies from $\sim 10^6$ GeV to above $10^{11}$ GeV. Two
neutrino-induced events with an estimated deposited energy of $(2.6 \pm 0.3)
\times 10^6$ GeV, the highest neutrino energies observed so far, and $(7.7 \pm
2.0) \times 10^5$ GeV were detected. The atmospheric background-only hypothesis
of detecting these events is rejected at 3.6$\sigma$. The hypothesis that the
observed events are of cosmogenic origin is also rejected at $>$99% CL because
of the limited deposited energy and the non-observation of events at higher
energy, while their observation is consistent with an astrophysical origin. Our
limits on cosmogenic neutrino fluxes disfavor the UHECR sources having
cosmological evolution stronger than the star formation rate, e.g., active
galactic nuclei and $\gamma$-ray bursts, assuming proton-dominated UHECRs.
Constraints on UHECR sources including mixed and heavy UHECR compositions are
obtained for models of neutrino production within UHECR sources. Our limit
disfavors a significant part of parameter space for active galactic nuclei and
new-born pulsar models.


title: Weierstrass Semigroups from Kummer Extensions

abstract:
  The Weierstrass semigroups and pure gaps can be helpful in constructing codes
with better parameters. In this paper, we investigate explicitly the minimal
generating set of the Weierstrass semigroups associated with several totally
ramified places over arbitrary Kummer extensions. Applying the techniques
provided by Matthews in her previous work, we extend the results of specific
Kummer extensions studied in the literature. Some examples are included to
illustrate our results.


title:
Juxtaposition of System Dynamics and Agent-based Simulation for a Case
  Study in Immunosenescence

abstract:
  Advances in healthcare and in the quality of life significantly increase
human life expectancy. With the ageing of populations, new un-faced challenges
are brought to science. The human body is naturally selected to be
well-functioning until the age of reproduction to keep the species alive.
However, as the lifespan extends, unseen problems due to the body deterioration
emerge. There are several age-related diseases with no appropriate treatment;
therefore, the complex ageing phenomena needs further understanding.
Immunosenescence, the ageing of the immune system, is highly correlated to the
negative effects of ageing, such as the increase of auto-inflammatory diseases
and decrease in responsiveness to new diseases. Besides clinical and
mathematical tools, we believe there is opportunity to further exploit
simulation tools to understand immunosenescence. Compared to real-world
experimentation, benefits include time and cost effectiveness due to the
laborious, resource-intensiveness of the biological environment and the
possibility of conducting experiments without ethic restrictions. Contrasted
with mathematical models, simulation modelling is more suitable for
representing complex systems and emergence. In addition, there is the belief
that simulation models are easier to communicate in interdisciplinary contexts.
Our work investigates the usefulness of simulations to understand
immunosenescence by employing two different simulation methods, agent-based and
system dynamics simulation, to a case study of immune cells depletion with age.


title: Some mixed character sum identities of Katz

abstract:
  A conjecture connected with quantum physics led N. Katz to discover some
amazing mixed character sum identities over a field of $q$ elements, where $q$
is a power of a prime $p>3$. His proof required deep algebro-geometric
techniques, and he expressed interest in finding a more straightforward direct
proof. Such a proof has been given by Evans and Greene in the case $q \equiv 3
\pmod 4$, and in this paper we give a proof for the remaining case $q \equiv 1
\pmod 4$. Moreover, we show that the identities are valid for all
characteristics $p >2$.


title:
Structural Distortion Stabilizing the Antiferromagnetic and
  Semiconducting Ground State of BaMn$_2$As$_2$

abstract:
  We report evidence that the experimentally found antiferromagnetic structure
as well as the semiconducting ground state of BaMn$_2$As$_2$ are caused by
optimally-localized Wannier states of special symmetry existing at the Fermi
level of BaMn$_2$As$_2$. In addition, we find that a (small) tetragonal
distortion of the crystal is required to stabilize the antiferromagnetic
semiconducting state. To our knowledge, this distortion has not yet been
established experimentally.


title:
Heat Kernel Asymptotics, Path Integrals and Infinite-Dimensional
  Determinants

abstract:
  We investigate the short-time expansion of the heat kernel of a Laplace type
operator on a compact Riemannian manifold and show that the lowest order term
of this expansion is given by the Fredholm determinant of the Hessian of the
energy functional on a space of finite energy paths. This is the asymptotic
behavior to be expected from formally expressing the heat kernel as a path
integral and then (again formally) using Laplace's method on the integral. We
also relate this to the zeta determinant of the Jacobi operator, which is
another way to assign a determinant to the Hessian of the energy functional. We
consider both the near-diagonal asymptotics as well as the behavior at the cut
locus.


title: Covers of generalized quadrangles

abstract:
  We solve a problem posed by Cardinali and Sastry [2] about factorization of
$2$-covers of finite classical generalized quadrangles. To that end, we develop
a general theory of cover factorization for generalized quadrangles, and in
particular we study the isomorphism problem for such covers and associated
geometries. As a byproduct, we obtain new results about semipartial geometries
coming from $\theta$-covers, and consider related problems.


title:
Mathematical framework for abdominal electrical impedance tomography to
  assess fatness

abstract:
  This paper presents a static electrical impedance tomography (EIT) technique
that evaluates abdominal obesity by estimating the thickness of subcutaneous
fat. EIT has a fundamental drawback for absolute admittivity imaging because of
its lack of reference data for handling the forward modeling errors. To reduce
the effect of boundary geometry errors in imaging abdominal fat, we develop a
depth-based reconstruction method that uses a specially chosen current pattern
to construct reference-like data, which are then used to identify the border
between subcutaneous fat and muscle. The performance of the proposed method is
demonstrated by numerical simulations using 32-channel EIT system and human
like domain.


title:
Almost Gorenstein Rees algebras of $p_g$-ideals, good ideals, and powers
  of the maximal ideals

abstract:
  Let $(A,{\mathfrak m})$ be a Cohen-Macaulay local ring and let $I$ be an
ideal of $A$. We prove that the Rees algebra ${\mathcal R}(I)$ is an almost
Gorenstein ring in the following cases: (1) $(A,{\mathfrak m})$ is a
two-dimensional excellent Gorenstein normal domain over an algebraically closed
field $K \cong A/{\mathfrak m}$ and $I$ is a $p_g$-ideal; (2) $(A,{\mathfrak
m})$ is a two-dimensional almost Gorenstein local ring having minimal
multiplicity and $I={\mathfrak m}^{\ell}$ for all $\ell \ge 1$; (3)
$(A,{\mathfrak m})$ is a regular local ring of dimension $d \ge 2$ and
$I={\mathfrak m}^{d-1}$. Conversely, if ${\mathcal R}({\mathfrak m}^{\ell})$ is
an almost Gorenstein graded ring for some $\ell \ge 2$ and $d \ge 3$, then
$\ell=d-1$.


title:
Adaptive Data Communication Interface: A User-Centric Visual Data
  Interpretation Framework

abstract:
  In this position paper, we present ideas about creating a next generation
framework towards an adaptive interface for data communication and
visualisation systems. Our objective is to develop a system that accepts large
data sets as inputs and provides user-centric, meaningful visual information to
assist owners to make sense of their data collection. The proposed framework
comprises four stages: (i) the knowledge base compilation, where we search and
collect existing state-ofthe-art visualisation techniques per domain and user
preferences; (ii) the development of the learning and inference system, where
we apply artificial intelligence techniques to learn, predict and recommend new
graphic interpretations (iii) results evaluation; and (iv) reinforcement and
adaptation, where valid outputs are stored in our knowledge base and the system
is iteratively tuned to address new demands. These stages, as well as our
overall vision, limitations and possible challenges are introduced in this
article. We also discuss further extensions of this framework for other
knowledge discovery tasks.


title: Multivariate Order Statistics: The Intermediate Case

abstract:
  Asymptotic normality of intermediate order statistics taken from univariate
iid random variables is well-known. We generalize this result to random vectors
in arbitrary dimension, where the order statistics are taken componentwise.


title:
Characterization of very narrow spectral lines with temporal intensity
  interferometry

abstract:
  Context: Some stellar objects exhibit very narrow spectral lines in the
visible range additional to their blackbody radiation. Natural lasing has been
suggested as a mechanism to explain narrow lines in Wolf-Rayet stars. However,
the spectral resolution of conventional astronomical spectrographs is still
about two orders of magnitude too low to test this hypothesis. Aims: We want to
resolve the linewidth of narrow spectral emissions in starlight. Methods: A
combination of spectral filtering with single-photon-level temporal correlation
measurements breaks the resolution limit of wavelength-dispersing spectrographs
by moving the linewidth measurement into the time domain. Results: We
demonstrate in a laboratory experiment that temporal intensity interferometry
can determine a 20 MHz wide linewidth of Doppler-broadened laser light, and
identify a coherent laser light contribution in a blackbody radiation
background.


title: Gradient recovery for elliptic interface problem: I. body-fitted mesh

abstract:
  In this paper, we propose a novel gradient recovery method for elliptic
interface problem using body-fitted mesh in two dimension. Due to the lack of
regularity of solution at interface, standard gradient recovery methods fail to
give superconvergent results, and thus will lead to overrefinement when served
as a posteriori error estimator. This drawback is overcome by designing an
immersed gradient recovery operator in our method. We prove the
superconvergence of this method for both mildly unstructured mesh and adaptive
mesh, and present several numerical examples to verify the superconvergence and
its robustness as a posteriori error estimator.


title:
The Vlasov formalism for extended relativistic mean field models: the
  crust-core transition and the stellar matter equation of state

abstract:
  The Vlasov formalism is extended to relativistic mean-field hadron models
with non-linear terms up to fourth order and applied to the calculation of the
crust-core transition density. The effect of the nonlinear $\omega\rho$ and
$\sigma\rho$ coupling terms on the crust-core transition density and pressure,
and on the macroscopic properties of some families of hadronic stars is
investigated. For that purpose, six families of relativistic mean field models
are considered. Within each family, the members differ in the symmetry energy
behavior. For all the models, the dynamical spinodals are calculated, and the
crust-core transition density and pressure, and the neutron star mass-radius
relations are obtained. The effect on the star radius of the inclusion of a
pasta calculation in the inner crust is discussed. The set of six models that
best satisfy terrestrial and observational constraints predicts a radius of
13.6$\pm$0.3 km and a crust thickness of $1.36\pm 0.06$km for a 1.4 $M_\odot$
star.


title: Isoscalar $\pi\pi$ scattering and the $\sigma$ meson resonance from QCD

abstract:
  We present for the first time a determination of the energy dependence of the
isoscalar $\pi\pi$ elastic scattering phase-shift within a first-principles
numerical lattice approach to QCD. Hadronic correlation functions are computed
including all required quark propagation diagrams, and from these the discrete
spectrum of states in the finite volume defined by the lattice boundary is
extracted. From the volume dependence of the spectrum we obtain the $S$-wave
phase-shift up to the $K\overline{K}$ threshold. Calculations are performed at
two values of the $u,d$ quark mass corresponding to $m_\pi = 236, 391$ MeV and
the resulting amplitudes are described in terms of a $\sigma$ meson which
evolves from a bound-state below $\pi\pi$ threshold at the heavier quark mass,
to a broad resonance at the lighter quark mass.


title:
New Collisions to Improve Pollard's Rho Method of Solving the Discrete
  Logarithm Problem on Elliptic Curves

abstract:
  It is true that different approaches have been utilised to accelerate the
computation of discrete logarithm problem on elliptic curves with Pollard's Rho
method. However, trapping in cycles fruitless will be obtained by using the
random walks with Pollard's Rho. An efficient alternative approach that is
based on new collisions which are reliant on the values ai , bi to solve this
problem is proposed. This may requires less iterations than Pollard's Rho
original in reaching collision. Thus, the performance of Pollard's Rho method
is more efficiently because the improved method not only reduces the number of
mathematical operations but these collisions can also applied on previous
improvements which reported in the literature.


title: Nonlocal topological valley transport at large valley Hall angles

abstract:
  Berry curvature hot spots in two-dimensional materials with broken inversion
symmetry are responsible for the existence of transverse valley currents, which
give rise to giant nonlocal dc voltages. Recent experiments in high-quality
gapped graphene have highlighted a saturation of the nonlocal resistance as a
function of the longitudinal charge resistivity $\rho_{{\rm c}, xx}$, when the
system is driven deep into the insulating phase. The origin of this saturation
is, to date, unclear. In this work we show that this behavior is fully
compatible with bulk topological transport in the regime of large valley Hall
angles (VHAs). We demonstrate that, for a fixed value of the valley diffusion
length, the dependence of the nonlocal resistance on $\rho_{{\rm c}, xx}$
weakens for increasing VHAs, transitioning from the standard $\rho^3_{{\rm c},
xx}$ power-law to a result that is independent of $\rho_{{\rm c}, xx}$.


title: Improving lensing cluster mass estimate with flexion

abstract:
  Gravitational lensing has long been considered as a valuable tool to
determine the total mass of galaxy clusters. The shear profile as inferred from
the statistics of ellipticity of background galaxies allows to probe the
cluster intermediate and outer regions thus determining the virial mass
estimate. However, the mass sheet degeneracy and the need for a large number of
background galaxies motivate the search for alternative tracers which can break
the degeneracy among model parameters and hence improve the accuracy of the
mass estimate. Lensing flexion, i.e. the third derivative of the lensing
potential, has been suggested as a good answer to the above quest since it
probes the details of the mass profile. We investigate here whether this is
indeed the case considering jointly using weak lensing, magnification and
flexion. We use a Fisher matrix analysis to forecast the relative improvement
in the mass accuracy for different assumptions on the shear and flexion signal
- to - noise (S/N) ratio also varying the cluster mass, redshift, and
ellipticity. It turns out that the error on the cluster mass may be reduced up
to a factor 2 for reasonable values of the flexion S/N ratio. As a general
result, we get that the improvement in mass accuracy is larger for more
flattened haloes, but extracting general trends is a difficult because of the
many parameters at play. We nevertheless find that flexion is as efficient as
magnification to increase the accuracy in both mass and concentration
determination.


title:
Electron dynamics in graphene with spin-orbit couplings and periodic
  potentials

abstract:
  We use both continuum and lattice models to study the energy-momentum
dispersion and the dynamics of a wave packet for an electron moving in graphene
in the presence of spin-orbit couplings and either a single potential barrier
or a periodic array of potential barriers. Both Kane-Mele and Rashba spin-orbit
couplings are considered. A number of special things occur when the Kane-Mele
and Rashba couplings are equal in magnitude. In the absence of a potential, the
dispersion then consists of both massless Dirac and massive Dirac states. A
periodic potential is known to generate additional Dirac points; we show that
spin-orbit couplings generally open gaps at all those points, but if the two
spin-orbit couplings are equal, some of the Dirac points remain gapless. We
show that the massless and massive states respond differently to a potential
barrier; the massless states transmit perfectly through the barrier at normal
incidence while the massive states reflect from it. In the presence of a single
potential barrier, we show that there are states localized along the barrier.
Finally, we study the time evolution of a wave packet in the presence of a
periodic potential. We discover special points in momentum space where there is
almost no spreading of a wave packet; there are six such points in graphene
when the spin-orbit couplings are absent.


title:
Model fitting of kink waves in the solar atmosphere: Gaussian damping
  and time-dependence

abstract:
  {Observations of the solar atmosphere have shown that magnetohydrodynamic
waves are ubiquitous throughout. Improvements in instrumentation and the
techniques used for measurement of the waves now enables subtleties of
competing theoretical models to be compared with the observed waves behaviour.
Some studies have already begun to undertake this process. However, the
techniques employed for model comparison have generally been unsuitable and can
lead to erroneous conclusions about the best model. The aim here is to
introduce some robust statistical techniques for model comparison to the solar
waves community, drawing on the experiences from other areas of astrophysics.
In the process, we also aim to investigate the physics of coronal loop
oscillations. } {The methodology exploits least-squares fitting to compare
models to observational data. We demonstrate that the residuals between the
model and observations contain significant information about the ability for
the model to describe the observations, and show how they can be assessed using
various statistical tests. In particular we discuss the Kolmogorov-Smirnoff one
and two sample tests, as well as the runs test. We also highlight the
importance of including any observational trend line in the model-fitting
process.} {To demonstrate the methodology, an observation of an oscillating
coronal loop undergoing standing kink motion is used. The model comparison
techniques provide evidence that a Gaussian damping profile provides a better
description of the observed wave attenuation than the often used exponential
profile. This supports previous analysis from Pascoe et al. (2016). Further, we
use the model comparison to provide evidence of time-dependent wave properties
of a kink oscillation, attributing the behaviour to the thermodynamic evolution
of the local plasma.}


title:
Refining adverse drug reaction signals by incorporating interaction
  variables identified using emergent pattern mining

abstract:
  Purpose: To develop a framework for identifying and incorporating candidate
confounding interaction terms into a regularised cox regression analysis to
refine adverse drug reaction signals obtained via longitudinal observational
data. Methods: We considered six drug families that are commonly associated
with myocardial infarction in observational healthcare data, but where the
causal relationship ground truth is known (adverse drug reaction or not). We
applied emergent pattern mining to find itemsets of drugs and medical events
that are associated with the development of myocardial infarction. These are
the candidate confounding interaction terms. We then implemented a cohort study
design using regularised cox regression that incorporated and accounted for the
candidate confounding interaction terms. Results The methodology was able to
account for signals generated due to confounding and a cox regression with
elastic net regularisation correctly ranked the drug families known to be true
adverse drug reactions above those.


title: A note on higher extremal metrics

abstract:
  In this paper we introduce higher extremal Kahler metrics. We provide an
example of the same on a minimal ruled surface. We also prove a perturbation
result that implies that there are non-trivial examples of higher constant
scalar curvature metrics, which are basically metrics where the top Chern form
is harmonic. We also give a relatively short proof of a formula due to Liu for
the Bando-Futaki invariants (which are obstructions for the existence of
harmonic Chern forms) of hypersurfaces in projective space.


title:
Probing an effective-range-induced super fermionic Tonks-Girardeau gas
  with ultracold atoms in one-dimensional harmonic traps

abstract:
  We theoretically investigate an ultracold spin-polarized atomic Fermi gas
with resonant odd-channel ($p$-wave) interactions trapped in one-dimensional
harmonic traps. We solve the Yang-Yang thermodynamic equations based on the
exact Bethe ansatz solution, and predict the finite-temperature density profile
and breathing mode frequency, by using a local density approximation to take
into account the harmonic trapping potential. The system features an exotic
super fermionic Tonks-Girardeau (super-fTG) phase, due to the large effective
range of the interatomic interactions. We explore the parameter space for such
a fascinating super-fTG phase at finite temperature and provide smoking-gun
signatures of its existence in both breathing mode frequencies and density
profiles. Our results suggest that the super-fTG phase can be readily probed at
temperature at about $0.1T_{F}$, where $T_{F}$ is the Fermi temperature. These
results are to be confronted with future cold-atom experiments with $^{6}$Li
and $^{40}$K atoms.


title: Supervised Anomaly Detection in Uncertain Pseudoperiodic Data Streams

abstract:
  Uncertain data streams have been widely generated in many Web applications.
The uncertainty in data streams makes anomaly detection from sensor data
streams far more challenging. In this paper, we present a novel framework that
supports anomaly detection in uncertain data streams. The proposed framework
adopts an efficient uncertainty pre-processing procedure to identify and
eliminate uncertainties in data streams. Based on the corrected data streams,
we develop effective period pattern recognition and feature extraction
techniques to improve the computational efficiency. We use classification
methods for anomaly detection in the corrected data stream. We also empirically
show that the proposed approach shows a high accuracy of anomaly detection on a
number of real datasets.


title: Visual Question Answering: A Survey of Methods and Datasets

abstract:
  Visual Question Answering (VQA) is a challenging task that has received
increasing attention from both the computer vision and the natural language
processing communities. Given an image and a question in natural language, it
requires reasoning over visual elements of the image and general knowledge to
infer the correct answer. In the first part of this survey, we examine the
state of the art by comparing modern approaches to the problem. We classify
methods by their mechanism to connect the visual and textual modalities. In
particular, we examine the common approach of combining convolutional and
recurrent neural networks to map images and questions to a common feature
space. We also discuss memory-augmented and modular architectures that
interface with structured knowledge bases. In the second part of this survey,
we review the datasets available for training and evaluating VQA systems. The
various datatsets contain questions at different levels of complexity, which
require different capabilities and types of reasoning. We examine in depth the
question/answer pairs from the Visual Genome project, and evaluate the
relevance of the structured annotations of images with scene graphs for VQA.
Finally, we discuss promising future directions for the field, in particular
the connection to structured knowledge bases and the use of natural language
processing models.


title: The rhombohedral Sb2Se3 is also an intrinsic topological insulator

abstract:
  Topological insulators are new class of quantum materials, which have
insulating energy gaps in bulk, but exhibit gapless edge states or surface
states that are protected by time-reversal symmetry at boundary. It was
theoretically predicted and experimentally confirmed that the binary
tetradymites Bi2Te3, Bi2Se3, and Sb2Te3 are three-dimensional topological
insulators. In this work, we demonstrate by first-principles approach that the
ignored Sb2Se3, although with relatively smaller spin-orbital coupling
strength, can also exhibit topologically protected surface states with a bulk
gap of 0.19 eV, as long as the van der Waals interaction is explicitly included
in the calculations. Detailed analysis of the band structures of Sb2Se3 thin
films indicates that the non-trivial surface state appears at a critical
thickness of six quintuple layers.


title:
Simulating user learning in authoritative technology adoption: An agent
  based model for council-led smart meter deployment planning in the UK

abstract:
  How do technology users effectively transit from having zero knowledge about
a technology to making the best use of it after an authoritative technology
adoption? This post-adoption user learning has received little research
attention in technology management literature. In this paper we investigate
user learning in authoritative technology adoption by developing an agent-based
model using the case of council-led smart meter deployment in the UK City of
Leeds. Energy consumers gain experience of using smart meters based on the
learning curve in behavioural learning. With the agent-based model we carry out
experiments to validate the model and test different energy interventions that
local authorities can use to facilitate energy consumers' learning and maintain
their continuous use of the technology. Our results show that the easier energy
consumers become experienced, the more energy-efficient they are and the more
energy saving they can achieve; encouraging energy consumers' contacts via
various informational means can facilitate their learning; and developing and
maintaining their positive attitude toward smart metering can enable them to
use the technology continuously. Contributions and energy policy/intervention
implications are discussed in this paper.


title: Optimising Rule-Based Classification in Temporal Data

abstract:
  This study optimises manually derived rule-based expert system classification
of objects according to changes in their properties over time. One of the key
challenges that this study tries to address is how to classify objects that
exhibit changes in their behaviour over time, for example how to classify
companies' share price stability over a period of time or how to classify
students' preferences for subjects while they are progressing through school. A
specific case the paper considers is the strategy of players in public goods
games (as common in economics) across multiple consecutive games. Initial
classification starts from expert definitions specifying class allocation for
players based on aggregated attributes of the temporal data. Based on these
initial classifications, the optimisation process tries to find an improved
classifier which produces the best possible compact classes of objects
(players) for every time point in the temporal data. The compactness of the
classes is measured by a cost function based on internal cluster indices like
the Dunn Index, distance measures like Euclidean distance or statistically
derived measures like standard deviation. The paper discusses the approach in
the context of incorporating changing player strategies in the aforementioned
public good games, where common classification approaches so far do not
consider such changes in behaviour resulting from learning or in-game
experience. By using the proposed process for classifying temporal data and the
actual players' contribution during the games, we aim to produce a more refined
classification which in turn may inform the interpretation of public goods game
data.


title:
Broad-band dielectric response of BTZ-BCT piezoceramics: soft and
  central mode behaviour

abstract:
  Dielectric properties of BTZ-BCT ceramics were probed in the frequency range
from 10 Hz to 100 THz in a broad temperature range (10-900 K). Polar soft
phonon observed in infrared spectra softens with cooling, however below 500 K
its frequency becomes temperature independent. Simultaneously, a central mode
activates in terahertz and microwave spectra; and it actually drives the
ferroelectric phase transitions. Consequently, the phase transition strongly
resemble a crossover between the dispacive and order-disorder type. The central
mode vanishes below 200 K. The dielectric relaxation in the radiofrequency and
microwave range anomalously broadens on cooling below T$_{C1}$ resulting in the
nearly frequency independent dielectric loss bleow 200 K. This broadening comes
from a broad frequency distribution of ferroelectric domain wall vibrations.
Raman spectra reveal new phonons below 400 K, i.e. already 15 K above T$_{C1}$.
Several weak modes are detected in the paraelectric phase up to 500 K in the
Raman spectra. Activation of these modes is ascribed to the presence of polar
nanoclusters in the material.


title:
Expected Sizes of Poisson-Delaunay Mosaics and Their Discrete Morse
  Functions

abstract:
  Mapping every simplex in the Delaunay mosaic of a discrete point set to the
radius of the smallest empty circumsphere gives a generalized discrete Morse
function. Choosing the points from an n-dimensional Poisson point process, we
study the expected number of simplices in the Delaunay mosaic as well as the
expected number of critical simplices and non-singular intervals in the
corresponding generalized discrete gradient. Observing connections with other
probabilistic models, we obtain precise expressions for the expected numbers in
low dimensions. In particular, we get the expected numbers of simplices in the
Poisson-Delaunay mosaic in dimensions up to 4.


title: Absolutely covert quantum communication

abstract:
  We present truly ultimate limits on covert quantum communication by
exploiting quantum-mechanical properties of the Minkowski vacuum in the quantum
field theory framework. Our main results are the following: We show how two
parties equipped with Unruh-DeWitt detectors can covertly communicate at large
distances without the need of hiding in a thermal background or relying on
various technological tricks. We reinstate the information-theoretic security
standards for reliability of asymptotic quantum communication and show that the
rate of covert communication is strictly positive. Therefore, contrary to the
previous conclusions, covert and reliable quantum communication is possible.


title:
Weak unique continuation property and a related inverse source problem
  for time-fractional diffusion-advection equations

abstract:
  In this paper, we first establish a weak unique continuation property for
time-fractional diffusion-advection equations. The proof is mainly based on the
Laplace transform and the unique continuation properties for elliptic and
parabolic equations. The result is weaker than its parabolic counterpart in the
sense that we additionally impose the homogeneous boundary condition. As a
direct application, we prove the uniqueness for an inverse problem on
determining the spatial component in the source term in by interior
measurements. Numerically, we reformulate our inverse source problem as an
optimization problem, and propose an iteration thresholding algorithm. Finally,
several numerical experiments are presented to show the accuracy and efficiency
of the algorithm.


title:
Distributed coordination for optimal energy generation and distribution
  in smart grid networks

abstract:
  This paper proposes coordination laws for optimal energy generation and
distribution in energy network, which is composed of physical flow layer and
cyber communication layer. The physical energy flows through the physical
layer; but all the energies are coordinated to generate and flow by distributed
coordination algorithms on the basis of communication information. First,
distributed energy generation and energy distribution laws are proposed in a
decoupled way without considering the interactive characteristics between the
energy generation and energy distribution. Then, a joint coordination law is
designed in a coupled way taking account of the interactive characteristics.
The coordination laws proposed in this paper are fully distributed in the sense
that they are decided optimally only using relative information among
neighboring nodes. Through numerical simulations, the validity of the proposed
distributed coordination laws is illustrated.


title: Gauge Symmetries Emerging from Extra Dimensions

abstract:
  We argue that extra dimensions with a properly chosen compactification scheme
could be a natural source for emergent gauge symmetries. Actually, some
proposed vector field potential terms or polynomial vector field constraints
introduced in five-dimensional Abelian and non-Abelian gauge theory is shown to
smoothly lead to spontaneous violation of an underlying 5D spacetime symmetry
and generate pseudo-Goldstone vector modes as conventional 4D gauge boson
candidates. As a special signature, there appear, apart from conventional gauge
couplings, some properly suppressed direct multi-photon (multi-boson, in
general) interactions in emergent QED and Yang-Mills theories whose observation
could shed light on their high-dimensional nature. Moreover, in emergent
Yang-Mills theories an internal symmetry G also occurs spontaneously broken to
its diagonal subgroups once 5D Lorentz violation happens. This breaking origins
from the extra vector field components playing a role of some adjoint scalar
field multiplet in the 4D spacetime. So, one naturally has the Higgs effect
without a specially introduced scalar field multiplet. Remarkably, when being
applied to Grand Unified Theories this results in a fact that the emergent GUTs
generically appear broken down to the Standard Model just at the 5D Lorentz
violation scale M.
  PACS numbers: 11.15.-q, 11.30.Cp, 11.30.Pb, 11.10.Kk


title:
Uniform Regularity and Vanishing Viscosity Limit for the Compressible
  Nematic Liquid Crystal Flows in Three Dimensional Bounded Domain

abstract:
  In this paper, we study the uniform regularity and vanishing viscosity limit
for the compressible nematic liquid crystal flows in three dimensional bounded
domain. It is shown that there exists a unique strong solution for the
compressible nematic liquid crystal flows with boundary condition in a finite
time interval which is independent of the viscosity coefficient. The solutions
are uniform bounded in a conormal Sobolev space. Furthermore, we prove that the
density and velocity are uniform bounded in $W^{1, \infty}$, and the director
field is uniform bounded in $W^{3,\infty}$ respectively. Based on these uniform
estimates, one also obtains the convergence rate of the viscous solutions to
the inviscid ones with a rate of convergence.


title: Jastrow correlation factor for periodic systems

abstract:
  We propose a Jastrow factor for electron-electron correlations that
interpolates between the radial symmetry of the Coulomb interaction at short
inter-particle distance and the space-group symmetry of the simulation cell at
large separation. The proposed Jastrow factor captures comparable levels of the
correlation energy to current formalisms, is 40% quicker to evaluate, and
offers benefits in ease of use, as we demonstrate in quantum Monte Carlo
simulations.


title: A XML Based Datagrid Description Language

abstract:
  We present xDGDL, an approach towards a concise but comprehensive Datagrid
description language. Our framework is based on the portable XML language and
allows to store syntactical and semantical information together with arbitrary
files. This information can be used to administer, locate, search and process
the stored data on the Grid. As an application of the xDGDL approach we present
ViPFS, a novel distributed file system targeting the Grid.


title: MegaOhm Extraordinary Hall effect in oxidized CoFeB

abstract:
  We report on development of controllably oxidized CoFeB ferromagnetic films
demonstrating the extraordinary Hall effect (EHE) resistivity exceeding 1 Ohmcm
and magnetic field sensitivity up to 10^6 Ohm/T. Such EHE resistivity is four
orders of magnitude higher than previously observed in ferromagnetic materials,
while sensitivity is two orders larger than the best of semiconductors


title: Regularity Properties of Non-Negative Sparsity Sets

abstract:
  This paper investigates regularity properties of two non-negative sparsity
sets: non-negative sparse vectors, and low-rank positive semi-definite
matrices. Novel formulae for their Mordukhovich normal cones are given and used
to formulate sufficient conditions for non-convex notions of regularity to
hold. Our results provide a useful tool for justifying the application of
projection methods to certain rank constrained feasibility problems.


title:
Multi-wavelength study of the low-luminosity outbursting young star HBC
  722

abstract:
  HBC 722 (V2493 Cyg) is a young eruptive star in outburst since 2010. It is an
FU Orionis-type object with an atypically low outburst luminosity. Because it
was well characterized in the pre-outburst phase, HBC 722 is one of the few
FUors where we can learn about the physical changes and processes associated
with the eruption. We monitored the source in the BVRIJHKs bands from the
ground, and at 3.6 and 4.5 $\mu$m from space with the Spitzer Space Telescope.
We analyzed the light curves and the spectral energy distribution by fitting a
series of steady accretion disk models at many epochs. We also analyzed the
spectral properties of the source based on new optical and infrared spectra. We
also mapped HBC 722 and its surroundings at millimeter wavelengths. From the
light curve analysis we concluded that the first peak of the outburst in 2010
September was due to an abrupt increase of the accretion rate in the innermost
part of the system. This was followed by a long term process, when the
brightening was mainly due to a gradual increase of the accretion rate and the
emitting area. Our new observations show that the source is currently in a
constant plateau phase. We found that around the peak the continuum was bluer
and the H$\alpha$ profile changed significantly between 2012 and 2013. The
source was not detected in the millimeter continuum, but we discovered a
flattened molecular gas structure with a diameter of 1700 au and mass of 0.3
M$_{\odot}$ centered on HBC 722. While the first brightness peak could be
interpreted as a rapid fall of piled-up material from the inner disk onto the
star, the later monotonic flux rise suggests the outward expansion of a hot
component according to the theory of Bell & Lin (1994). Our study of HBC 722
demonstrated that accretion-related outbursts can occur in young stellar
objects even with very low mass disks, in the late Class II phase.


title: On the role of the commutator algebra for nonlinear supersymmetry

abstract:
  We discuss a closure of commutator algebras for general functionals in terms
of Nambu-Goldstone fermions and their derivative terms under nonlinear
supersymmetry (NLSUSY) both in flat spacetime and in curved spacetime. We point
out that variations of functionals for vector supermultiplets (uniquely)
determine general LSUSY transformations for linear vector supermutiplets with
general auxiliary fields in extended SUSY, where the closure of the commutator
algebras for NLSUSY plays a crucial role.


title: Cyber Physical Attacks with Control Objectives

abstract:
  This paper studies attackers with control objectives against cyber-physical
systems (CPS). The system is equipped with its own controller and attack
detector, and the goal of the attacker is to move the system to a target state
while altering the system's actuator input and sensor output to avoid
detection. We formulate a cost function that reflects the attacker's goals,
and, using dynamic programming, we show that the optimal attack strategy
reduces to a linear feedback of the attacker's state estimate. By changing the
parameters of the cost function, we show how an attacker can design optimal
attacks to balance the control objective and the detection avoidance objective.
Finally, we provide a numerical illustration based on a remotely-controlled
helicopter under attack.