title: Neuronal Avalanches: Where Temporal Complexity and Criticality Meet

abstract:
  The model of the current paper is an extension of a previous publication,
wherein we used the leaky integrate-and-fire model on a regular lattice with
periodic boundary conditions, and introduced the temporal complexity as a
genuine signature of criticality. In that work, the power-law distribution of
neural avalanches was manifestation of supercriticality rather than
criticality. Here, however, we show that continuous solution of the model and
replacing the stochastic noise with a Gaussian zero-mean noise leads to the
coincidence of power-law display of temporal complexity and spatiotemporal
patterns of neural avalanches at the critical point. We conclude that the
source of inconsistency may in fact be a numerical artifact originated by the
discrete description of the model, which may imply slow numerical convergence
of avalanche distribution compared to temporal complexity.


title: Projectively generated $d$-abelian categories are $d$-cluster tilting

abstract:
  Building on work of Jasso, we prove that any projectively generated
$d$-abelian category is equivalent to a $d$-cluster tilting subcategory of an
abelian category with enough projectives. This supports the claim that
$d$-abelian categories are good axiomatizations of $d$-cluster tilting
subcategories.


title: Geometric adaptive Monte Carlo in random environment

abstract:
  Manifold Markov chain Monte Carlo algorithms have been introduced to sample
more effectively from challenging target densities exhibiting multiple modes or
strong correlations. Such algorithms exploit the local geometry of the
parameter space, thus enabling chains to achieve a faster convergence rate when
measured in number of steps. However, acquiring local geometric information can
often increase computational complexity per step to the extent that sampling
from high-dimensional targets becomes inefficient in terms of total
computational time. This paper analyzes the computational complexity of
manifold Langevin Monte Carlo and proposes a geometric adaptive Monte Carlo
sampler aimed at balancing the benefits of exploiting local geometry with
computational cost to achieve a high effective sample size for a given
computational cost. The suggested sampler is a discrete-time stochastic process
in random environment. The random environment allows to switch between local
geometric and adaptive proposal kernels with the help of a schedule. An
exponential schedule is put forward that enables more frequent use of geometric
information in early transient phases of the chain, while saving computational
time in late stationary phases. The average complexity can be manually set
depending on the need for geometric exploitation posed by the underlying model.


title: Multiplicity one at full congruence level

abstract:
  Let $F$ be a totally real field in which $p$ is unramified. Let
$\overline{r}: G_F \rightarrow \mathrm{GL}_2(\overline{\mathbb{F}}_p)$ be a
modular Galois representation which satisfies the Taylor--Wiles hypotheses and
is tamely ramified and generic at a place $v$ above $p$. Let $\mathfrak{m}$ be
the corresponding Hecke eigensystem. We describe the $\mathfrak{m}$-torsion in
the mod $p$ cohomology of Shimura curves with full congruence level at $v$ as a
$\mathrm{GL}_2(k_v)$-representation. In particular, it only depends on
$\overline{r}|_{I_{F_v}}$ and its Jordan--H\"{o}lder factors appear with
multiplicity one. The main ingredients are a description of the submodule
structure for generic $\mathrm{GL}_2(\mathbb{F}_q)$-projective envelopes and
the multiplicity one results of \cite{EGS}.


title: Combinatorial embedded contact homology for toric contact manifolds

abstract:
  Computing embedded contact homology (ECH) and related invariants of certain
toric 3-manifolds (in the sense of Lerman) has led to interesting new results
in the study of symplectic embeddings. Here, we give a combinatorial
formulation of ECH chain complexes for general toric contact 3-manifolds. As a
corollary, we prove Conjecture A.3 from [Hutchings14].


title:
MIMO Cellular Networks with Simultaneous Wireless Information and Power
  Transfer

abstract:
  In this paper, we introduce a mathematical approach for system-level analysis
and optimization of densely deployed multiple-antenna cellular networks, where
low-energy devices are capable of decoding information data and harvesting
power simultaneously. The base stations are assumed to be deployed according to
a Poisson point process and tools from stochastic geometry are exploited to
quantify the trade-off in terms of information rate and harvested power. It is
shown that multiple-antenna transmission is capable of increasing information
rate and harvested power at the same time.


title:
Robustness of the Gaussian concentration inequality and the
  Brunn-Minkowski inequality

abstract:
  We provide a sharp quantitative version of the Gaussian concentration
inequality: for every $r>0$, the difference between the measure of the
$r$-enlargement of a given set and the $r$-enlargement of a half-space controls
the square of the measure of the symmetric difference between the set and a
suitable half-space. We also prove a similar estimate in the Euclidean setting
for the enlargement with a general convex set. This is equivalent to the
stability of the Brunn-Minkowski inequality for the Minkowski sum between a
convex set and a generic one.


title:
Global existence, boundedness and stabilization in a high-dimensional
  chemotaxis system with consumption

abstract:
  This paper deals with the homogeneous Neumann boundary-value problem for the
chemotaxis-consumption system \begin{eqnarray*} \begin{array}{llc} u_t=\Delta
u-\chi\nabla\cdot (u\nabla v)+\kappa u-\mu u^2,\\ v_t=\Delta v-uv,
  \end{array} \end{eqnarray*} in $N$-dimensional bounded smooth domains for
suitably regular positive initial data.
  We shall establish the existence of a global bounded classical solution for
suitably large $\mu$ and prove that for any $\mu>0$ there exists a weak
solution.
  Moreover, in the case of $\kappa>0$ convergence to the constant equilibrium
$(\frac{\kappa}{\mu},0)$ is shown.


title:
Multiplicity one for the mod $p$ cohomology of Shimura curves: the tame
  case

abstract:
  Let $F$ be a totally real field, $\mathfrak{p}$ an unramified place of $F$
dividing $p$ and $\overline{r}:
\mathrm{Gal}(\overline{F}/F)\rightarrow\mathrm{GL}_2(\overline{\mathbb{F}}_p)$
a continuous irreducible modular representation. The work of Buzzard, Diamond
and Jarvis associates to $\overline{r}$ an admissible smooth representation of
$\mathrm{GL}_2(F_\mathfrak{p})$ on the mod $p$ cohomology of Shimura curves
attached to indefinite division algebras which split at $\mathfrak{p}$. When
$\overline{r}|_{\mathrm{Gal}(\overline{F_\mathfrak{p}}/F_\mathfrak{p})}$ is
tamely ramified and generic (and under some technical assumptions), we
determine the subspace of invariants of this representation under the principal
congruence subgroup of level $\mathfrak{p}$. In particular, it depends only on
$\overline{r}|_{\mathrm{Gal}(\overline{F_\mathfrak{p}}/F_\mathfrak{p})}$ and
verifies a multiplicity one property.


title: Open problems on k-orbit polytopes

abstract:
  We present 35 open problems on combinatorial, geometric and algebraic aspects
of k-orbit abstract polytopes. We also present a theory of rooted polytopes
that has appeared implicitly in previous work but has not been formalized
before.


title:
Lorentz symmetry violating low energy dispersion relations from a
  dimension-five photon scalar mixing operator

abstract:
  Dimension-five photon $(\gamma )$ scalar $(\phi)$ interaction terms usually
appear in the bosonic sector of unified theories of electromagnetism and
gravity. In these theories the three propagation eigenstates are different from
the three field eigenstates. The dispersion relation in an external magnetic
field shows that, for a non- zero energy $(\omega)$, out of the three
propagating eigenstates one has superluminal phase velocity $v_p$. During
propagation, another eigenstate undergoes amplification or attenuation, showing
signs of an unstable system. The remaining one maintains causality. In this
paper, using techniques from optics as well as gravity, we identify the energy
$(\omega)$ interval outside which $v_p \le c$ for the field eigenstates
$|\gamma_{\parallel} > $ and $ |\phi > $, and stability of the system is
restored. The behavior of group velocity $v_g$ is also explored in the same
context. We conclude by pointing out its possible astrophysical implications.


title:
Electromagnetic confinement via spin-orbit interaction in anisotropic
  dielectrics

abstract:
  We investigate electromagnetic propagation in uniaxial dielectrics with a
transversely varying orientation of the optic axis, the latter staying
orthogonal everywhere to the propagation direction. In such a geometry, the
field experiences no refractive index gradients, yet it acquires a
transversely-modulated Pancharatnam-Berry phase, that is, a geometric phase
originating from a spin-orbit interaction. We show that the periodic evolution
of the geometric phase versus propagation gives rise to a
longitudinally-invariant effective potential. In certain configurations, this
geometric phase can provide transverse confinement and waveguiding. The
theoretical findings are tested and validated against numerical simulations of
the complete Maxwell's equations. Our results introduce and illustrate the role
of geometric phases on electromagnetic propagation over distances well
exceeding the diffraction length, paving the way to a whole new family of
guided waves and waveguides which do not rely on refractive index tailoring.


title:
Stochastic 3D Navier-Stokes equations with nonlinear damping: martingale
  solution, strong solution and small time large deviation principles

abstract:
  In this paper, by using classical Faedo-Galerkin approximation and
compactness method, the existence of martingale solutions for the stochastic 3D
Navier-Stokes equations with nonlinear damping is obtained. The existence and
uniqueness of strong solution are proved for $\beta > 3$ with any $\alpha>0$
and $\alpha \geq \frac12$ as $\beta = 3$. Meanwhile, a small time large
deviation principle for the stochastic 3D Navier-Stokes equation with damping
is proved for $\beta > 3$ with any $\alpha>0$ and $\alpha \geq \frac12$ as
$\beta = 3$.


title: Correspondence Insertion for As-Projective-As-Possible Image Stitching

abstract:
  Spatially varying warps are increasingly popular for image alignment. In
particular, as-projective-as-possible (APAP) warps have been proven effective
for accurate panoramic stitching, especially in cases with significant depth
parallax that defeat standard homographic warps. However, estimating spatially
varying warps requires a sufficient number of feature matches. In image regions
where feature detection or matching fail, the warp loses guidance and is unable
to accurately model the true underlying warp, thus resulting in poor
registration. In this paper, we propose a correspondence insertion method for
APAP warps, with a focus on panoramic stitching. Our method automatically
identifies misaligned regions, and inserts appropriate point correspondences to
increase the flexibility of the warp and improve alignment. Unlike other warp
varieties, the underlying projective regularization of APAP warps reduces
overfitting and geometric distortion, despite increases to the warp complexity.
Comparisons with recent techniques for parallax-tolerant image stitching
demonstrate the effectiveness and simplicity of our approach.


title: A novel look at the pulsar force-free magnetosphere

abstract:
  The stationary axisymmetric force-free magnetosphere of a pulsar is
considered. We present an exact dipolar solution of the pulsar equation,
construct the magnetospheric model on its basis and examine its observational
support. The new model has toroidal rather than common cylindrical geometry, in
line with that of the plasma outflow observed directly as the pulsar wind
nebula at much larger spatial scale. In its new configuration, the axisymmetric
magnetosphere consumes the neutron star rotational energy much more
efficiently, implying re-estimation of the stellar magnetic field, $B_{\mathrm
new}^0=3.3\times 10^{-4}B/P$, where $P$ is the pulsar period. Then the 7-order
scatter of the magnetic field derived from the rotational characteristics of
the pulsars observed appears consistent with the $\cot\chi$-law, where $\chi$
is a random quantity uniformly distributed in the interval $[0,\pi/2]$. Our
result is suggestive of a unique actual magnetic field strength of the neutron
stars along with a random angle between the magnetic and rotational axes and
gives insight into the neutron star unification on the geometrical basis.


title:
Modified Einstein-Gauss-Bonnet gravity: Riemann-Cartan and
  Pseudo-Riemannian cases

abstract:
  A modified Einstein-Gauss-Bonnet gravity in four dimensions where the
quadratic Gauss-Bonnet term is coupled to a scalar field is considered. The
field equations of the model are obtained by variational methods by making use
of the constrained-first order formalism covering both pseudo-Riemannian and
non-Riemannian cases. In the pseudo-Riemannian case, the Lagrange multiplier
forms, which impose the vanishing torsion constraint, are eliminated in favor
of the remaining fields and the resulting metric field equations are expressed
in terms of the double-dual curvature 2-form. In the non-Riemannian case with
torsion, the field equations are expressed in terms of the pseudo-Riemannian
quantities by a perturbative scheme valid for a weak coupling constant. It is
shown that, for both cases, the model admits a maximally symmetric de-Sitter
solution with nontrivial scalar field. Minimal coupling of a Dirac spinor to
the Gauss-Bonnet modified gravity is also discussed briefly.


title:
A Survey of Algorithms for Separable Convex Optimization with Linear
  Ascending Constraints

abstract:
  The paper considers the minimization of a separable convex function subject
to linear ascending constraints. The problem arises as the core optimization in
several resource allocation scenarios, and is a special case of an optimization
of a separable convex function over the bases of a polymatroid with a certain
structure. The paper presents a survey of state-of-the-art algorithms that
solve this optimization problem. The algorithms are applicable to the class of
separable convex objective functions that need not be smooth or strictly
convex. When the objective function is a so-called $d$-separable function, a
simpler linear time algorithm solves the problem.


title:
Influence of pore pressure to the development of a hydraulic fracture in
  poroelastic medium

abstract:
  In this paper we demonstrate the influence of the pore pressure to the
development of a hydraulically-driven fracture in a poroelastic medium. We
present a novel numerical model for propagation of a planar hydraulic fracture
and prove its correctness by demonstration of the numerical convergence and by
comparison with known solutions. The advantage of the algorithm is that it does
not require the distinguishing of the fracture's tips and reconstruction of the
numerical mesh according to the fracture propagation. Next, we perform a
thorough analysis of the interplay of fluid filtration and redistribution of
stresses near the fracture. We demonstrate that the fracture length decreases
with the increase of the Biot's number (the parameter that determines the
contribution of the pore pressure to the stress) and explain this effect by
analysing the near-fracture pore pressure, rock deformation and stresses. We
conclude, that the correct account for the fluid exchange between the fracture
and the rock should be based not only on physical parameters of the rock and
fluid, but also on the analysis of stresses near the fracture.


title:
Nanophotonic waveguide enhanced Raman spectroscopy of biological
  submonolayers

abstract:
  Characterizing a monolayer of biological molecules has been a major
challenge. We demonstrate nanophotonic wave-guide enhanced Raman spectroscopy
(NWERS) of monolayers in the near-infrared region, enabling real-time
measurements of the hybridization of DNA strands and the density of
sub-monolayers of biotin-streptavidin complex immobilized on top of a photonics
chip. NWERS is based on enhanced evanescent excitation and collection of
spontaneous Raman scattering near nanophotonic waveguides, which for a one
centimeter silicon nitride waveguide delivers a signal that is more than four
orders of magnitude higher in comparison to a confocal Raman microscope. The
reduced acquisition time and specificity of the signal allows for a
quantitative and real-time characterization of surface species, hitherto not
possible using Raman spectroscopy. NWERS provides a direct analytic tool for
monolayer research and also opens a route to compact microscope-less
lab-on-a-chip devices with integrated sources, spectrometers and detectors
fabricated using a mass-producible CMOS technology platform.


title:
The Anion Effect on Li+ Ion Coordination Structure in Ethylene Carbonate
  Solutions

abstract:
  Rechargeable lithium ion batteries are an attractive alternative power source
for a wide variety of applications. To optimize their performances, a complete
description of the solvation properties of the ion in the electrolyte is
crucial. A comprehensive understanding at the nanoscale of the solvation
structure of lithium ions in nonaqueous carbonate electrolytes is, however,
still unclear. We have measured by femtosecond vibrational spectroscopy the
orientational correlation time of the CO stretching mode of Li+-bound and
Li+-unbound ethylene carbonate molecules, in LiBF4, LiPF6, and LiClO4 ethylene
carbonate solutions with different concentrations. Surprisingly, we have found
that the coordination number of ethylene carbonate in the first solvation shell
of Li+ is only two, in all solutions with concentrations higher than 0.5 M.
Density functional theory calculations indicate that the presence of anions in
the first coordination shell modifies the generally accepted tetrahedral
structure of the complex, allowing only two EC molecules to coordinate to Li+
directly. Our results demonstrate for the first time, to the best of our
knowledge, the anion influence on the overall structure of the first solvation
shell of the Li+ ion. The formation of such a cation/solvent/anion complex
provides a rational explanation for the ionic conductivity drop of
lithium/carbonate electrolyte solutions at high concentrations.


title: Border bases for lattice ideals

abstract:
  The main ingredient to construct an O-border basis of an ideal I $\subseteq$
K[x1,. .., xn] is the order ideal O, which is a basis of the K-vector space
K[x1,. .., xn]/I. In this paper we give a procedure to find all the possible
order ideals associated with a lattice ideal IM (where M is a lattice of Z n).
The construction can be applied to ideals of any dimension (not only
zero-dimensional) and shows that the possible order ideals are always in a
finite number. For lattice ideals of positive dimension we also show that,
although a border basis is infinite, it can be defined in finite terms.
Furthermore we give an example which proves that not all border bases of a
lattice ideal come from Gr\"obner bases. Finally, we give a complete and
explicit description of all the border bases for ideals IM in case M is a
2-dimensional lattice contained in Z 2 .


title: SDO/HMI survey of emerging active regions for helioseismology

abstract:
  Observations from the Solar Dynamics Observatory (SDO) have the potential for
allowing the helioseismic study of the formation of hundreds of active regions,
which would enable us to perform statistical analyses. Our goal is to collate a
uniform data set of emerging active regions observed by the SDO/HMI instrument
suitable for helioseismic analysis up to seven days before emergence. We
restricted the sample to active regions that were visible in the continuum and
emerged into quiet Sun largely avoiding pre-existing magnetic regions. As a
reference data set we paired a control region (CR), with the same latitude and
distance from central meridian, with each emerging active region (EAR). We call
this data set, which is currently comprised of 105 emerging active regions
observed between May 2010 and November 2012, the SDO Helioseismic Emerging
Active Region (SDO/HEAR) survey. To demonstrate the utility of a data set of a
large number of emerging active regions, we measure the relative east-west
velocity of the leading and trailing polarities from the line-of-sight
magnetogram maps during the first day after emergence. The latitudinally
averaged line-of-sight magnetic field of all the EARs shows that, on average,
the leading (trailing) polarity moves in a prograde (retrograde) direction with
a speed of 121 +/- 22 m/s (-70 +/- 13 m/s) relative to the Carrington rotation
rate in the first day. However, relative to the differential rotation of the
surface plasma, the east-west velocity is symmetric, with a mean of 95 +/- 13
m/s. The SDO/HEAR data set will not only be useful for helioseismic studies,
but will also be useful to study other features such as the surface magnetic
field evolution of a large sample of EARs.


title: Resonances in open quantum systems

abstract:
  The Hamilton operator of an open quantum system is non-Hermitian. Its
eigenvalues are, generally, complex and provide not only the energies but also
the lifetimes of the states of the system. The states may couple via the common
environment of scattering wavefunctions into which the system is embedded. This
causes an {\it external mixing} (EM) of the states. Mathematically, EM is
related to the existence of singular (the so-called exceptional) points (EPs).
The eigenfunctions of a non-Hermitian operator are biorthogonal, in contrast to
the orthogonal eigenfunctions of a Hermitian operator. A quantitative measure
for the ratio between biorthogonality and orthogonality is the phase rigidity
of the wavefunctions. At and near an EP, the phase rigidity takes its minimum
value. The lifetimes of two nearby eigenstates of a quantum system bifurcate
under the influence of an EP. At the parameter value of maximum width
bifurcation, the phase rigidity approaches the value one, meaning that the two
eigenfunctions become orthogonal. However, the eigenfunctions are externally
mixed at this parameter value. The S-matrix and therewith the cross section do
contain, in the one-channel case, almost no information on the EM of the
states. The situation is completely different in the case with two (or more)
channels where the resonance structure is strongly influenced by the EM of the
states and interesting features of non-Hermitian quantum physics are revealed.
We provide numerical results for two and three nearby eigenstates of a
non-Hermitian Hamilton operator which are embedded in one common continuum and
influenced by two adjoining EPs. The results are discussed. They are of
interest for an experimental test of the non-Hermitian quantum physics as well
as for applications.


title:
Ultrasensitivity on signaling cascades revisited: Linking local and
  global ultrasensitivity estimations

abstract:
  Ultrasensitive response motifs, which are capable of converting graded
stimulus in binary responses, are very well-conserved in signal transduction
networks. Although it has been shown that a cascade arrangement of multiple
ultrasensitive modules can produce an enhancement of the system's
ultrasensitivity, how the combination of layers affects the cascade's
ultrasensitivity remains an open question for the general case. Here we
introduced a methodology that allowed us to determine the presence of
sequestration effects and to quantify the relative contribution of each module
to the overall cascade's ultrasensitivity. The proposed analysis framework
provides a natural link between global and local ultrasensitivity descriptors
and is particularly well-suited to characterize and better understand
mathematical models used to study real biological systems. As a case study we
considered three mathematical models introduced by O'Shaughnessy et al. to
study a tunable synthetic MAPK cascade, and showed how our methodology might
help modelers to better understand modeling alternatives.


title:
Estimating cosmological parameters by the simulated data of
  gravitational waves from the Einstein Telescope

abstract:
  We investigate the constraint ability of the gravitational wave (GW) as the
standard siren on the cosmological parameters by using the third-generation
gravitational wave detector: the Einstein Telescope. We simulate the luminosity
distances and redshift measurements from 100 to 1000 GW events. We use two
different algorithms to constrain the cosmological parameters. For the Hubble
constant $H_0$ and dark matter density parameter $\Omega_m$, we adopt the
Markov chain Monte Carlo approach. We find that with about 500-600 GW events we
can constrain the Hubble constant with an accuracy comparable to
\textit{Planck} temperature data and \textit{Planck} lensing combined results,
while for the dark matter density, GWs alone seem not able to provide the
constraints as good as for the Hubble constant; the sensitivity of 1000 GW
events is a little lower than that of \textit{Planck} data. It should require
more than 1000 events to match the \textit{Planck} sensitivity. Yet, for
analyzing the more complex dynamical property of dark energy, i.e., the
equation of state $w$, we adopt a new powerful nonparametric method: the
Gaussian process. We can reconstruct $w$ directly from the observational
luminosity distance at every redshift. In the low redshift region, we find that
about 700 GW events can give the constraints of $w(z)$ comparable to the
constraints of a constant $w$ by \textit{Planck} data with type Ia supernovae.
Those results show that GWs as the standard sirens to probe the cosmological
parameters can provide an independent and complementary alternative to current
experiments.


title:
An efficient numerical method for solving the Boltzmann equation in
  multidimensions

abstract:
  In this paper we deal with the extension of the Fast Kinetic Scheme (FKS) [J.
Comput. Phys., Vol. 255, 2013, pp 680-698] originally constructed for solving
the BGK equation, to the more challenging case of the Boltzmann equation. The
scheme combines a robust and fast method for treating the transport part based
on an innovative Lagrangian technique supplemented with fast spectral schemes
to treat the collisional operator by means of an operator splitting approach.
This approach along with several implementation features related to the
parallelization of the algorithm permits to construct an efficient simulation
tool which is numerically tested against exact and reference solutions on
classical problems arising in rarefied gas dynamic. We present results up to
the $3$D$\times 3$D case for unsteady flows for the Variable Hard Sphere model
which may serve as benchmark for future comparisons between different numerical
methods for solving the multidimensional Boltzmann equation. For this reason,
we also provide for each problem studied details on the computational cost and
memory consumption as well as comparisons with the BGK model or the limit model
of compressible Euler equations.


title:
Poisson brackets of mappings obtained as (q,-p) reductions of lattice
  equations

abstract:
  In this paper, we present Poisson brackets of certain classes of mappings
obtained as general periodic reductions of integrable lattice equations. The
Poisson brackets are derived using the so called Ostrogradsky transformation.


title:
Normal state pair nematicity and hidden magnetic order and
  metal-insulator (fermion-boson)- crossover origin of pseudogap phase of
  cuprates II

abstract:
  In the present paper II, we will gain an understanding of the nematicity,
insulating ground state (IGS), nematicity to stripe phase transition, Fermi
pockets evolution, and resistivity temperature upturn, as to be metal -
insulator (fermion-boson)- crossover (MIC) phenomena for the pseudogap (PG)
region of cuprates. While in the paper I [1], we obtained an understanding of
the observed heat conductivity downturn, anomalous Lorentz ratio, insulator
resistivity boundary, nonlinear entropy as manifestations of the same MIC. The
recently observed nematicity and hidden magnetic order are related to the PG
pair intra charge and spin fluctuations. We will try to obtain an answer on the
question: why ground state of YBCO is Fermi liquid oscillating and of Bi-2212
is insulating? We will also clarify the physics of the recently observed MIC
results of Lalibert\'e et al. [2] and explain the long-discussed transition of
the electric charge density from doping to doping+1 dependence at the critical
doping. We predict that at the upturns this density should have the temperature
dependence $n\sim T^3n_2$ for $T\rightarrow 0$, where $n_2$ is density for
dopings close to the critical value. We understood that the upturns before and
after the first critical doping have the same nature. We will find
understanding of all above mentioned phenomena within the PG pair physics.


title:
Formation of anomalous globular clusters with metallicity spreads: A
  unified picture

abstract:
  Recent observations have revealed that at least 8 globular clusters (GCs) in
the Galaxy show internal abundance spreads in [Fe/H]. We investigate the origin
of these `anomalous' GCs using numerical simulations of GCs in the dwarfs
orbiting around the Galaxy and chemical evolution model of dwarfs hosting the
GCs. The principal results are as follows. GCs formed in a host dwarf galaxy
with a total mass of ~ 10^10 M_sun can merge to form a single nuclear GC before
the host is completely destroyed by the Galaxy, if they are massive (> 3*10^5
M_sun) and if they are formed in the inner region (R<400 pc). The GC merger
remnants can capture field stars during its spiral-in to nuclear regions. If
two GCs are formed from star formation events separated by ~300 Myr in their
host dwarf, then the new GC formed from GC merging can have [Fe/H] spread of
0.2 dex and [Ba/Fe] spread of 0.3 dex. GCs formed from GC merging can show
variety of internal abundance spreads depending on the details of their hosts'
chemical evolution. We suggest that anomalous GCs were formed from GC merging
that occurred before the destruction of GC host dwarfs yet after
self-enrichment processes responsible for the observed anti-correlations
between chemical abundances of light elements. We also suggest that the
observed no/little dependence of [Eu/Fe] on [Fe/H] in the Galactic GC M22 is
evidence of massive dwarf galaxies hosting these anomalous GCs.


title: Mid-infrared dual-comb spectroscopy with electro-optic modulators

abstract:
  We demonstrate dual-comb spectroscopy based on difference frequency
generation of frequency-agile near-infrared frequency combs, produced with the
help of electro-optic modulators. The combs have a remarkably flat intensity
distribution and their positions and line spacings can be selected freely by
simply dialing a knob. We record, in the 3-micron region, Doppler-limited
absorption spectra with resolved comb lines within milliseconds. Precise
molecular line parameters are retrieved. Our technique holds promise for fast
and sensitive time-resolved studies e.g. of trace gases.


title:
Optimal QoS-Aware Channel Assignment in D2D Communications with Partial
  CSI

abstract:
  In this paper, we propose effective channel assignment algorithms for network
utility maximization in a cellular network with underlaying device-to-device
(D2D) communications. A major innovation is the consideration of partial
channel state information (CSI), i.e., the base station (BS) is assumed to be
able to acquire `partial' instantaneous CSI of the cellular and D2D links, as
well as, the interference links. In contrast to existing works, multiple D2D
links are allowed to share the same channel, and the quality of service (QoS)
requirements for both the cellular and D2D links are enforced. We first develop
an optimal channel assignment algorithm based on dynamic programming (DP),
which enjoys a much lower complexity compared to exhaustive search and will
serve as a performance benchmark. To further reduce complexity, we propose a
cluster-based sub-optimal channel assignment algorithm. New closed-form
expressions for the expected weighted sum-rate and the successful transmission
probabilities are also derived. Simulation results verify the effectiveness of
the proposed algorithms. Moreover, by comparing different partial CSI
scenarios, we observe that the CSI of the D2D communication links and the
interference links from the D2D transmitters to the BS significantly affects
the network performance, while the CSI of the interference links from the BS to
the D2D receivers only has a negligible impact.


title: Event Selection Rules to Compute Explanations

abstract:
  Explanations have been introduced in the previous century. Their interest in
reducing the search space is no longer questioned. Yet, their efficient
implementation into CSP solver is still a challenge. In this paper, we
introduce ESeR, an Event Selection Rules algorithm that filters events
generated during propagation. This dynamic selection enables an efficient
computation of explanations for intelligent backtracking al- gorithms. We show
the effectiveness of our approach on the instances of the last three MiniZinc
challenges


title: Uncertain Photometric Redshifts

abstract:
  Photometric redshifts play an important role as a measure of distance for
various cosmological topics. Spectroscopic redshifts are only available for a
very limited number of objects but can be used for creating statistical models.
A broad variety of photometric catalogues provide uncertain low resolution
spectral information for galaxies and quasars that can be used to infer a
redshift. Many different techniques have been developed to produce those
redshift estimates with increasing precision. Instead of providing a point
estimate only, astronomers start to generate probabilistic density functions
(PDFs) which should provide a characterisation of the uncertainties of the
estimation. In this work we present two simple approaches on how to generate
those PDFs. We use the example of generating the photometric redshift PDFs of
quasars from SDSS(DR7) to validate our approaches and to compare them with
point estimates. We do not aim for presenting a new best performing method, but
we choose an intuitive approach that is based on well known machine learning
algorithms. Furthermore we introduce proper tools for evaluating the
performance of PDFs in the context of astronomy. The continuous ranked
probability score (CRPS) and the probability integral transform (PIT) are well
accepted in the weather forecasting community. Both tools reflect how well the
PDFs reproduce the real values of the analysed objects. As we show, nearly all
currently used measures in astronomy show severe weaknesses when used to
evaluate PDFs.


title:
Sumudu Transform of Hilfer-Prabhakar Fractional Derivatives and
  Applications

abstract:
  In this paper the Sumudu transforms of Hilfer-Prabhakar fractional derivative
and regularized version of Hilfer-Prabhakar fractional derivative are obtained.
These results are used to obtain relation between them involving Mittag-
Leffler function. Also these results are applied to solve some problems in
physics. Here the solutions of problems involving Hilfer-Prabhakar fractional
derivative and regularized version of Hilfer-Prabhakar fractional derivative
are obtained by using Fourier and Sumudu transform techniques.


title: Charge-Density-Excitation Spectrum in the t-t'-J-V Model

abstract:
  We study the density-density correlation function in a large-N scheme of the
t-t'-J-V model. When the nearest-neighbor Coulomb interaction V is zero, our
model exhibits phase separation in a wide doping region and we obtain large
spectral weight near momentum q=(0,0) at low energy, which originates from the
proximity to phase separation. These features are much stronger for electron
doping than for hole doping. However, once phase separation is suppressed by
including a finite V, the low-energy spectral weight around q=(0,0) is
substantially suppressed. Instead a sharp zero-sound mode is stabilized above
the particle-hole continuum. We discuss that the presence of a moderate value
of V, which is frequently neglected in the t-J model, is important to
understand low-energy charge excitations especially close to q=(0,0) for
electron doping. This insight should be taken into account in a future study of
x-ray scattering measurements.


title:
When polarons meet polaritons: Exciton-vibration interactions in organic
  molecules strongly coupled to confined light fields

abstract:
  We present a microscopic semi-analytical theory for the description of
organic molecules interacting strongly with a cavity mode. Exciton-vibration
coupling within the molecule and exciton-cavity interaction are treated on an
equal footing by employing a temperature-dependent variational approach. The
interplay between strong exciton-vibration coupling and strong exciton-cavity
coupling gives rise to a hybrid ground state, which we refer to as the lower
polaron polariton. Explicit expressions for the ground-state wave function, the
zero-temperature quasiparticle weight of the lower polaron polariton, the
photoluminescence line strength, and the mean number of vibrational quanta are
obtained in terms of the optimal variational parameters. The dependence of
these quantities upon the exciton-cavity coupling strength reveals that strong
cavity coupling leads to an enhanced vibrational dressing of the cavity mode,
and at the same time a vibrational decoupling of the dark excitons, which in
turn results in a lower polaron polariton resembling a single-mode dressed bare
lower polariton in the strong-coupling regime. Thermal effects on several
observables are briefly discussed.


title: Breaching the Privacy of Israel's Paper Ballot Voting System

abstract:
  An election is a process through which citizens in liberal democracies select
their governing bodies, usually through voting. For elections to be truly
honest, people must be able to vote freely without being subject to coercion;
that is why voting is usually done in a private manner. In this paper we
analyze the security offered by a paper-ballot voting system that is used in
Israel, as well as in several other countries around the world. we provide an
algorithm which, based on publicly available information, breaks the privacy of
the voters participating in such elections. Simulations based on real data
collected in Israel show that our algorithm performs well, and can correctly
recover the vote of up to 96% of the voters.


title:
PVANET: Deep but Lightweight Neural Networks for Real-time Object
  Detection

abstract:
  This paper presents how we can achieve the state-of-the-art accuracy in
multi-category object detection task while minimizing the computational cost by
adapting and combining recent technical innovations. Following the common
pipeline of "CNN feature extraction + region proposal + RoI classification", we
mainly redesign the feature extraction part, since region proposal part is not
computationally expensive and classification part can be efficiently compressed
with common techniques like truncated SVD. Our design principle is "less
channels with more layers" and adoption of some building blocks including
concatenated ReLU, Inception, and HyperNet. The designed network is deep and
thin and trained with the help of batch normalization, residual connections,
and learning rate scheduling based on plateau detection. We obtained solid
results on well-known object detection benchmarks: 83.8% mAP (mean average
precision) on VOC2007 and 82.5% mAP on VOC2012 (2nd place), while taking only
750ms/image on Intel i7-6700K CPU with a single core and 46ms/image on NVIDIA
Titan X GPU. Theoretically, our network requires only 12.3% of the
computational cost compared to ResNet-101, the winner on VOC2012.


title:
Diffusion of elastic waves in a two dimensional continuum with a random
  distribution of screw dislocations

abstract:
  We study the diffusion of anti-plane elastic waves in a two dimensional
continuum by many, randomly placed, screw dislocations. Building on a
previously developed theory for coherent propagation of such waves, the
incoherent behavior is characterized by way of a Bethe Salpeter (BS) equation.
A Ward-Takahashi identity (WTI) is demonstrated and the BS equation is solved,
as an eigenvalue problem, for long wavelengths and low frequencies. A diffusion
equation results and the diffusion coefficient $D$ is calculated. The result
has the expected form $D = v^* l /2$, where $l$, the mean free path, is equal
to the attenuation length of the coherent waves propagating in the medium and
the transport velocity is given by $v^*= c_T^2/v$, where $c_T$ is the wave
speed in the absence of obstacles and $v$ is the speed of coherent wave
propagation in the presence of dislocations.


title: Near-Earth asteroids orbit propagation with Gaia observations

abstract:
  Gaia is an astrometric mission that will be launched in 2013 and set on L2
point of Lagrange. It will observe a large number of Solar System Objets (SSO)
down to magnitude 20. The Solar System Science goal is to map thousand of Main
Belt asteroids (MBAs), Near Earth Objects (NEOs) (including comets) and also
planetary satellites with the principal purpuse of orbital determination
(better than 5 mas astrometric precision), determination of asteroid mass, spin
properties and taxonomy. Besides, Gaia will be able to discover a few objects,
in particular NEOs in the region down to the solar elongation 45{\deg} which
are harder to detect with current ground-based surveys. But Gaia is not a
follow-up mission and newly discovered objects can be lost if no ground-based
recovery is processed. The purpose of this study is to quantify the impact of
Gaia data for the known NEAs population and to show how to handle the problem
of these discoveries when faint number of observations and thus very short arc
is provided.


title:
The Gaia-FUN-SSO observation campaign of 99942 Apophis: A preliminary
  test for the network

abstract:
  In order to test the coordination and evaluate the overall performance of the
Gaia-FUN-SSO, an observation campaign on the Potentially Hazardous Asteroid (99
942) Apophis was conducted from 12/21/2012 to 5/2/2013 providing 2732 high
quality astrometric observations. We show that a consistent reduction of
astrometric campaigns with reliable stellar catalogs substantially improves the
quality of astrometric results. We present evidence that the new data will help
to reduce the orbit uncertainty of Apophis during its close approach in 2029.


title:
Digital-analog quantum simulation of generalized Dicke models with
  superconducting circuits

abstract:
  We propose a digital-analog quantum simulation of generalized Dicke models
with superconducting circuits, including Fermi-Bose condensates, biased and
pulsed Dicke models, for all regimes of light-matter coupling. We encode these
classes of problems in a set of superconducting qubits coupled with a bosonic
mode implemented by a transmission line resonator. Via digital-analog
techniques, an efficient quantum simulation can be performed in
state-of-the-art circuit quantum electrodynamics platforms, by suitable
decomposition into analog qubit-bosonic blocks and collective single-qubit
pulses through digital steps. Moreover, just a single global analog block would
be needed during the whole protocol in most of the cases, superimposed with
fast periodic pulses to rotate and detune the qubits. Therefore, a large number
of digital steps may be attained with this approach, providing a reduced
digital error. Additionally, the number of gates per digital step does not grow
with the number of qubits, rendering the simulation efficient. This strategy
paves the way for the scalable digital-analog quantum simulation of many-body
dynamics involving bosonic modes and spin degrees of freedom with
superconducting circuits.


title: Color screening masses from string models

abstract:
  We use gauge/string duality to estimate the Debye screening mass at non-zero
temperature and baryon chemical potential. We interpret this mass as the
smallest one in the open string channel. Comparisons are made with the results
from holography and lattice QCD.


title: Crossing Minimization in Storyline Visualization

abstract:
  A storyline visualization is a layout that represents the temporal dynamics
of social interactions along time by the convergence of chronological lines.
Among the criteria oriented at improving aesthetics and legibility of a
representation of this type, a small number of line crossings is the hardest to
achieve. We model the crossing minimization in the storyline visualization
problem as a multi-layer crossing minimization problem with tree constraints.
Our algorithm can compute a layout with the minimum number of crossings of the
chronological lines. Computational results demonstrate that it can solve
instances with more than 100 interactions and with more than 100 chronological
lines to optimality.


title: From Deterministic ODEs to Dynamic Structural Causal Models

abstract:
  Structural Causal Models are widely used in causal modelling, but how they
relate to other modelling tools is poorly understood. In this paper we provide
a novel perspective on the relationship between Ordinary Differential Equations
and Structural Causal Models. We show how, under certain conditions, the
asymptotic behaviour of an Ordinary Differential Equation under non-constant
interventions can be modelled using Dynamic Structural Causal Models. In
contrast to earlier work, we study not only the effect of interventions on
equilibrium states; rather, we model asymptotic behaviour that is dynamic under
interventions that vary in time, and include as a special case the study of
static equilibria.


title:
Edge Preserving and Multi-Scale Contextual Neural Network for Salient
  Object Detection

abstract:
  In this paper, we propose a novel edge preserving and multi-scale contextual
neural network for salient object detection. The proposed framework is aiming
to address two limits of the existing CNN based methods. First, region-based
CNN methods lack sufficient context to accurately locate salient object since
they deal with each region independently. Second, pixel-based CNN methods
suffer from blurry boundaries due to the presence of convolutional and pooling
layers. Motivated by these, we first propose an end-to-end edge-preserved
neural network based on Fast R-CNN framework (named RegionNet) to efficiently
generate saliency map with sharp object boundaries. Later, to further improve
it, multi-scale spatial context is attached to RegionNet to consider the
relationship between regions and the global scenes. Furthermore, our method can
be generally applied to RGB-D saliency detection by depth refinement. The
proposed framework achieves both clear detection boundary and multi-scale
contextual robustness simultaneously for the first time, and thus achieves an
optimized performance. Experiments on six RGB and two RGB-D benchmark datasets
demonstrate that the proposed method achieves state-of-the-art performance.


title: On Zhang's semipositive metrics

abstract:
  Zhang introduced semipositive metrics on a line bundle of a proper variety.
In this paper, we generalize such metrics for a line bundle $L$ of a
paracompact strictly $K$-analytic space $X$ over any non-archimedean field $K$.
We prove various properties in this setting such as density of piecewise
$\mathbb{Q}$-linear metrics in the space of continuous metrics on $L$. If $X$
is proper scheme, then we show that algebraic, formal and piecewise linear
metrics are the same. Our main result is that on a proper scheme $X$ over an
arbitrary non-archimedean field $K$, the set of semipositive model metrics is
closed with respect to pointwise convergence generalizing a result from
Boucksom, Favre and Jonsson where $K$ was assumed to be discretely valued with
residue characteristic $0$.


title: A Bregman Splitting Algorithm for Distributed Optimization over Networks

abstract:
  We consider distributed optimization problems in which a group of agents are
to collaboratively seek the global optimum through peer-to-peer communication
networks. The problem arises in various application areas, such as resource
allocation, sensor fusion and distributed learning. We propose a general
efficient distributed algorithm--termed Distributed Forward-Backward Bregman
Splitting (D-FBBS)--to simultaneously solve the above primal problem as well as
its dual based on Bregman method and operator splitting. The proposed algorithm
allows agents to communicate asynchronously and thus lends itself to stochastic
networks. This algorithm belongs to the family of general proximal point
algorithms and is shown to have close connections with some existing well-known
algorithms when dealing with fixed networks. However, we will show that it is
generally different from the existing ones due to its effectiveness in handling
stochastic networks. With proper assumptions, we establish a non-ergodic
convergence rate of o(1/k) in terms of fixed point residuals over fixed
networks both for D-FBBS and its inexact version (ID-FBBS) which is more
computationally efficient and an ergodic convergence rate of O(1/k) for D-FBBS
over stochastic networks respectively. We also apply the proposed algorithm to
sensor fusion problems to show its superior performance compared to existing
methods.


title: Dynamics of asteroids and near-Earth objects from Gaia Astrometry

abstract:
  Gaia is an astrometric mission that will be launched in spring 2013. There
are many scientific outcomes from this mission and as far as our Solar System
is concerned, the satellite will be able to map thousands of main belt
asteroids (MBAs) and near-Earth objects (NEOs) down to magnitude < 20. The high
precision astrometry (0.3-5 mas of accuracy) will allow orbital improvement,
mass determination, and a better accuracy in the prediction and ephemerides of
potentially hazardous asteroids (PHAs). We give in this paper some simulation
tests to analyse the impact of Gaia data on known asteroids' orbit, and their
value for the analysis of NEOs through the example of asteroid (99942) Apophis.
We then present the need for a follow-up network for newly discovered asteroids
by Gaia, insisting on the synergy of ground and space data for the orbital
improvement.


title: Fuzzy Logic in Narrow Sense with Hedges

abstract:
  Classical logic has a serious limitation in that it cannot cope with the
issues of vagueness and uncertainty into which fall most modes of human
reasoning. In order to provide a foundation for human knowledge representation
and reasoning in the presence of vagueness, imprecision, and uncertainty, fuzzy
logic should have the ability to deal with linguistic hedges, which play a very
important role in the modification of fuzzy predicates. In this paper, we
extend fuzzy logic in narrow sense with graded syntax, introduced by Novak et
al., with many hedge connectives. In one case, each hedge does not have any
dual one. In the other case, each hedge can have its own dual one. The
resulting logics are shown to also have the Pavelka-style completeness


title: On the maximum grain size entrained by photoevaporative winds

abstract:
  We model the behaviour of dust grains entrained by photoevaporation-driven
winds from protoplanetary discs assuming a non-rotating, plane-parallel disc.
We obtain an analytic expression for the maximum entrainable grain size in
extreme-UV radiation-driven winds, which we demonstrate to be proportional to
the mass loss rate of the disc. When compared with our hydrodynamic
simulations, the model reproduces almost all of the wind properties for the gas
and dust. In typical turbulent discs, the entrained grain sizes in the wind are
smaller than the theoretical maximum everywhere but the inner disc due to dust
settling.


title:
The 2008 outburst in the Young Stellar System Z CMa. III - Multi-epoch
  high-angular resolution images and spectra of the components in near-infrared

abstract:
  Z CMa is a complex pre-main sequence binary with a current separation of 100
mas, known to consist of an FU Orionis star (SE component) and an embedded
Herbig Be star (NW component). Immediately when the late-2008 outburst of Z CMa
was announced to the community, we initiated a high angular resolution imaging
campaign with VLT/NaCo, Keck/NIRC2, VLT/SINFONI, and Keck/OSIRIS which aimed at
characterizing the outburst of both components of the system in the
near-infrared. We confirm that the NW star dominates the system flux in the
1.1-3.8 microns range and is responsible for the photometric outburst. We
extract the first medium-resolution (R=2000-4000) near-infrared (1.1-2.4
microns) spectra of the individual components during and after the outburst.
The SE component has a spectrum typical of FU Orionis objects. The NW component
spectrum is characteristic of embedded outbursting protostars and EX Or
objects. It displays numerous emission lines during the outburst whose
intensity correlates with the system activity. In particular, we find a
correlation between the Brackett gamma equivalent width and the system
brightness. The bluing of the continuum of the NW component along with the
absolute flux and color-variation of the system during the outburst suggests
that the outburst was caused by a complex interplay between a variation of the
extinction in the line of sight of the NW component on one hand, and the
emission of shocked regions close to the NW component on the other. We confirm
the recently reported wiggling of the SE component jet from [Fe II] line
emission. We find a point-like structure associated with a peak emission at
2.098 microns coincidental with the clump or arm seen in broadband polarization
differential imaging as well as additional diffuse emission along a PA=214
degrees. The origin of these two structures is unclear and deserves further
investigation.


title:
Photonic hyperuniform networks by silicon double inversion of polymer
  templates

abstract:
  Hyperuniform disordered networks belong to a peculiar class of structured
materials predicted to possess partial and complete photonic bandgaps for
relatively moderate refractive index contrasts. The practical realization of
such photonic designer materials is challenging however, as it requires control
over a multi-step fabcrication process on optical length scales. Here we report
the direct-laser writing of hyperuniform polymeric templates followed by a
silicon double inversion procedure leading to high quality network structures
made of polycrystalline silicon. We observe a pronounced gap in the shortwave
infrared centered at a wavelength of $\lambda_{\text{Gap}}\simeq $ 2.5 $\mu$m,
in nearly quantitative agreement with numerical simulations. In the experiments
the typical structural length scale of the seed pattern can be varied between 2
$\mu$m and 1.54 $\mu$m leading to a blue-shift of the gap accompanied by an
increase of the silicon volume filling fraction.


title: Cubical Acyclic Homotopy Excision

abstract:
  Given a strong homotopy pushout cube of spaces A, we measure how far it is
from also being a homotopy pullback cube. Explicitly, letting P be the homotopy
colimit of the diagram obtained from A by forgetting the initial vertex
$A_\varnothing$, we study the homotopy fibre of the double suspension of the
comparison map $A_\varnothing \to P$. This difference is expressible in terms
of the homotopy fibres of the original maps in A.


title:
Numerical integration of dynamical systems with Lie series: Relativistic
  acceleration and non-gravitational forces

abstract:
  The integration of the equations of motion in gravitational dynamical systems
-- either in our Solar System or for extra-solar planetary system -- being non
integrable in the global case, is usually performed by means of numerical
integration. Among the different numerical techniques available for solving
ordinary differential equations, the numerical integration using Lie series has
shown some advantages. In its original form (Hanslmeier 1984), it was limited
to the N-body problem where only gravitational interactions are taken into
account. We present in this paper a generalisation of the method by deriving an
expression of the Lie-terms when other major forces are considered. As a matter
of fact, previous studies had been made but only for objects moving under
gravitational attraction. If other perturbations are added, the Lie integrator
has to be re-built. In the present work we consider two cases involving
position and position-velocity dependent perturbations: relativistic
acceleration in the framework of General Relativity and a simplified force for
the Yarkovsky effect. A general iteration procedure is applied to derive the
Lie series to any order and precision. We then give an application to the
integration of the equation of motions for typical Near-Earth objects and
planet Mercury.


title: Minimax Observers for Linear DAEs

abstract:
  In this note we construct minimax observers for linear stationary DAEs with
bounded uncertain inputs, given noisy measurements. We prove a new duality
principle and show that a finite (infinite) horizon minimax observer exists if
and only if the DAE is $\ell$-impulse observable ($\ell$-detectable) .
Remarkably, the regularity of the DAE is not required.


title: Rules and mechanisms for efficient two-stage learning in neural circuits

abstract:
  Trial-and-error learning requires evaluating variable actions and reinforcing
successful variants. In songbirds, vocal exploration is induced by LMAN, the
output of a basal ganglia-circuit that also contributes a corrective bias to
the vocal output. This bias is gradually consolidated in RA, a motor cortex
analogue downstream of LMAN. We develop a new model of such two-stage learning.
Using stochastic gradient descent, we derive how the activity in 'tutor'
circuits (e.g., LMAN) should match plasticity mechanisms in 'student' circuits
(e.g., RA) to achieve efficient learning. We further describe a reinforcement
learning framework through which the tutor can build its teaching signal. We
show that mismatches between the tutor signal and the plasticity mechanism can
impair learning. Applied to birdsong, our results predict the temporal
structure of the corrective bias from LMAN given a plasticity rule in RA. Our
framework can be applied predictively to other paired brain areas showing
two-stage learning.


title:
A short review and primer on electromyography in human computer
  interaction applications

abstract:
  The application of psychophysiology in human-computer interaction is a
growing field with significant potential for future smart personalised systems.
Working in this emerging field requires comprehension of an array of
physiological signals and analysis techniques.
  Electromyography (EMG) is a useful signal to estimate the emotional context
of individuals, because it is relatively robust, and simple to record and
analyze. Common uses are to infer emotional valence in response to a stimulus,
and to index some symptoms of stress. However, in order to interpret EMG
signals, they must be considered alongside data on physical, social and
intentional context. Here we present a short review on the application of EMG
in human-computer interaction.
  This paper aims to serve as a primer for the novice, enabling rapid
familiarisation with the latest core concepts. We put special emphasis on
everyday human-computer interface applications to distinguish from the more
common clinical or sports uses of psychophysiology.
  This paper is an extract from a comprehensive review of the entire field of
ambulatory psychophysiology, including 12 similar chapters, plus application
guidelines and systematic review. Thus any citation should be made using the
following reference:
  B. Cowley, M. Filetti, K. Lukander, J. Torniainen, A. Henelius, L. Ahonen, O.
Barral, I. Kosunen, T. Valtonen, M. Huotilainen, N. Ravaja, G. Jacucci. The
Psychophysiology Primer: a guide to methods and a broad review with a focus on
human-computer interaction. Foundations and Trends in Human-Computer
Interaction, vol. 9, no. 3-4, pp. 150--307, 2016.


title:
Spectrum Investment under Uncertainty: A Behavioral Economics
  Perspective

abstract:
  In this paper, we study a virtual wireless operator's spectrum investment
problem under spectrum supply uncertainty. To obtain enough spectrum resources
to meet its customer demands, the virtual operator can either sense for the
temporarily unused spectrum in a licensed band, or lease spectrum from a
spectrum owner. Sensing is usually cheaper than leasing, but the amount of
available spectrum obtained by sensing is uncertain due to the primary users'
activities in the licensed band. Previous studies on spectrum investment
problems mainly considered the expected profit maximization problem of a
risk-neutral operator based on the expected utility theory (EUT). In reality,
however, an operator's decision is influenced by not only the consideration of
expected profit maximization, but also the level of its risk preference. To
capture this tradeoff between these two considerations, we analyze the
operator's optimal decision problem using the prospect theory from behavioral
economics, which includes EUT as a special case. The sensing and leasing
optimal problem under prospect theory is non-convex and challenging to solve.
Nevertheless, by exploiting the unimodal structure of the problem, we are able
to compute the unique global optimal solution. We show that comparing to an EUT
operator, both the risk-averse and risk-seeking operator achieve a smaller
expected profit. On the other hand, a risk-averse operator can guarantee a
larger minimum possible profit, while a risk-seeking operator can achieve a
larger maximum possible profit. Furthermore, the tradeoff between the expected
profit and the minimum possible profit for a risk-averse operator is better
when the sensing cost increases, while the tradeoff between the expected profit
and the maximum possible profit for a risk-seeking operator is better when the
sensing cost decreases.


title:
Sub-micrometer yttrium iron garnet LPE films with low ferromagnetic
  resonance losses

abstract:
  Using liquid phase epitaxy (LPE) technique (111) yttrium iron garnet (YIG)
films with thicknesses of ~100 nm and surface roughnesses as low as 0.3 nm have
been grown as a basic material for spin-wave propagation experiments in
microstructured waveguides. The continuously strained films exhibit nearly
perfect crystallinity without significant mosaicity and with effective lattice
misfits of delta a(perpendicular)/a(substrate) ~10-4 and below. The
film/substrate interface is extremely sharp without broad interdiffusion layer
formation. All LPE films exhibit a nearly bulk-like saturation magnetization of
(1800+-20) Gs and an `easy cone' anisotropy type with extremely small in-plane
coercive fields <0.2 Oe. There is a rather weak in-plane magnetic anisotropy
with a pronounced six-fold symmetry observed for saturation field <1.5 Oe. No
significant out-of-plane anisotropy is observed, but a weak dependence of the
effective magnetization on the lattice misfit is detected. The narrowest
ferromagnetic resonance linewidth is determined to be 1.4 Oe @ 6.5 GHz which is
the lowest value reported so far for YIG films of 100 nm thicknesses and below.
The Gilbert damping coefficient for investigated LPE films is estimated to be
close to 1 x 10-4.


title: Analytic twists of modular forms

abstract:
  We investigate non-correlation of Fourier coefficients of Maass forms against
a class of real oscillatory functions, in analogy to known results with
Frobenius trace functions. We also establish an equidistribution result for
twisted horocycles as a consequence of our non-correlation result.


title: Connectedness of the dart digraph and the squared-dart digraph

abstract:
  In this note we revisit the dart graph and the squared dart digraph
constructions and prove that they yield strongly connected digraphs when
applied to connected graphs of minimum valence at least 3.


title: Universal freezing of asymmetry

abstract:
  Asymmetry of quantum states is a useful resource in applications such as
quantum metrology, quantum communication, and reference frame alignment.
However, asymmetry of a state tends to be degraded in physical scenarios where
environment-induced noise is described by covariant operations, e.g., open
systems constrained by superselection rules, and such degradations weaken the
abilities of the state to implement quantum information processing tasks. In
this paper, we investigate under which dynamical conditions asymmetry of a
state is totally unaffected by the noise described by covariant operations. We
find that all asymmetry measures are frozen for a state under a covariant
operation if and only if the relative entropy of asymmetry is frozen for the
state. Our finding reveals the existence of universal freezing of asymmetry,
and provides a necessary and sufficient condition under which asymmetry is
totally unaffected by the noise.


title:
Nonlinear Model Reduction in Power Systems by Balancing of Empirical
  Controllability and Observability Covariances

abstract:
  In this paper, nonlinear model reduction for power systems is performed by
the balancing of empirical controllability and observability covariances that
are calculated around the operating region. Unlike existing model reduction
methods, the external system does not need to be linearized but is directly
dealt with as a nonlinear system. A transformation is found to balance the
controllability and observability covariances in order to determine which
states have the greatest contribution to the input-output behavior. The
original system model is then reduced by Galerkin projection based on this
transformation. The proposed method is tested and validated on a system
comprised of a 16-machine 68-bus system and an IEEE 50-machine 145-bus system.
The results show that by using the proposed model reduction the calculation
efficiency can be greatly improved; at the same time, the obtained state
trajectories are close to those for directly simulating the whole system or
partitioning the system while not performing reduction. Compared with the
balanced truncation method based on a linearized model, the proposed nonlinear
model reduction method can guarantee higher accuracy and similar calculation
efficiency. It is shown that the proposed method is not sensitive to the choice
of the matrices for calculating the empirical covariances.


title:
Interplay between diffraction and the Pancharatnam-Berry phase in
  inhomogeneously twisted anisotropic media

abstract:
  We discuss the propagation of an electromagnetic field in an inhomogeneously
anisotropic material where the optic axis is rotated in the transverse plane
but is invariant along the propagation direction. In such a configuration, the
evolution of an electromagnetic wavepacket is governed by the
Pancharatnam-Berry phase (PBP), responsible for the appearance of an effective
photonic potential. In a recent paper [A. Alberucci et al., "Electromagnetic
confinement via spin-orbit interaction in anisotropic dielectrics", ACS
Photonics \textbf{3}, 2249 (2016)] we demonstrated that the effective potential
supports transverse confinement. Here we find the profile of the quasi-modes
and show that the photonic potential arises from the Kapitza effect of light.
The theoretical results are confirmed by numerical simulations, accounting for
the medium birefringence. Finally, we analyze in detail a configuration able to
support non-leaky guided modes.


title:
Curvature Integration in a 5D Kernel for Extracting Vessel Connections
  in Retinal Images

abstract:
  Tree-like structures such as retinal images are widely studied in
computer-aided diagnosis systems for large-scale screening programs. Despite
several segmentation and tracking methods proposed in the literature, there
still exist several limitations specifically when two or more curvilinear
structures cross or bifurcate, or in the presence of interrupted lines or
highly curved blood vessels. In this paper, we propose a novel approach based
on multi-orientation scores augmented with a contextual affinity matrix, which
both are inspired by the geometry of the primary visual cortex (V1) and their
contextual connections. The connectivity is described with a five-dimensional
kernel obtained as the fundamental solution of the Fokker-Planck equation
modelling the cortical connectivity in the lifted space of positions,
orientations, curvatures and intensity. It is further used in a self-tuning
spectral clustering step to identify the main perceptual units in the stimuli.
The proposed method has been validated on several easy and challenging
structures in a set of artificial images and actual retinal patches. Supported
by quantitative and qualitative results, the method is capable of overcoming
the limitations of current state-of-the-art techniques.


title:
The covariant electromagnetic Casimir effect for real conducting
  spherical shells

abstract:
  Using the covariant electromagnetic Casimir effect (previously introduced for
real conducting cylindrical shells [1]), the Casimir force experienced by a
spherical shell, under Dirichlet boundary condition, is calculated. The
renormalization procedure is based on the plasma cut-off frequency for real
conductors. The real case of a gold (silver) sphere is considered and the
corresponding electromagnetic Casimir force is computed. In the covariant
approach, there isn't any decomposition of fields to TE and TM modes; thus, we
do not need to consider the Neumann boundary condition in parallel to the
Dirichlet problem and then add their corresponding results.


title: Duplication of Windows Services

abstract:
  OS-level virtualization techniques virtualize system resources at the system
call interface, has the distinct advantage of smaller run-time resource
requirements as compared to HAL-level virtualization techniques, and thus forms
an important building block for virtualizing parallel and distributed
applications such as a HPC clusters. Because the Windows operating system puts
certain critical functionalities in privileged user-level system service
processes, a complete OS-level virtualization solution for the Windows platform
requires duplication of such Windows service as Remote Procedure Call Server
Service (RPCSS). As many implementation details of the Windows system services
are proprietary, duplicating Windows system services becomes the key technical
challenge for virtualizing the Windows platform at the OS level. Moreover, as a
core component of cloud computing, IIS web server-related services need to be
duplicated in containers (i.e., OS-level virtual machines), but so far there is
no such scheme. In this paper, we thoroughly identify all issues that affect
service duplication, and then propose the first known methodology to
systematically duplicate both system and ordinary Windows services. Our
experiments show that the methodology can duplicate a set of system and
ordinary services on different versions of Windows OS.


title: Robust Discriminative Clustering with Sparse Regularizers

abstract:
  Clustering high-dimensional data often requires some form of dimensionality
reduction, where clustered variables are separated from "noise-looking"
variables. We cast this problem as finding a low-dimensional projection of the
data which is well-clustered. This yields a one-dimensional projection in the
simplest situation with two clusters, and extends naturally to a multi-label
scenario for more than two clusters. In this paper, (a) we first show that this
joint clustering and dimension reduction formulation is equivalent to
previously proposed discriminative clustering frameworks, thus leading to
convex relaxations of the problem, (b) we propose a novel sparse extension,
which is still cast as a convex relaxation and allows estimation in higher
dimensions, (c) we propose a natural extension for the multi-label scenario,
(d) we provide a new theoretical analysis of the performance of these
formulations with a simple probabilistic model, leading to scalings over the
form $d=O(\sqrt{n})$ for the affine invariant case and $d=O(n)$ for the sparse
case, where $n$ is the number of examples and $d$ the ambient dimension, and
finally, (e) we propose an efficient iterative algorithm with running-time
complexity proportional to $O(nd^2)$, improving on earlier algorithms which had
quadratic complexity in the number of examples.


title: Kisa Donem Uzam-Zamansal Trafik Tahmini

abstract:
  The studies carried out with the objective of minimizing the effects of
congestion, delay and environment problems on the transportation network have
gained increasing importance in the last years. Among these studies, short-term
traffic flow and average vehicle speed forecasting methods have come into
prominence due to their easy implementations, efficient usage on different
areas and cost-effectiveness. A large number of studies have reported that
these methods, in which the expected future values of link flows and average
speeds are forecasted in desired points, can reduce the traffic congestion by
anticipating the problems in traffic management. In this paper, a
spatio-temporal approach accounted for historical traffic characteristics data
collected from a large number of points is presented for average speed
forecasts in a given link. The proposed approach includes an algorithm that
enables to take into account the most informative data in an input set by
determining them for each stage. It is aimed to increase the forecasting
accuracy by using sparse matrices in the algorithm while decreasing the
calculation times significantly compared to the similar methods presented in
the literature.


title: The Lambrechts-Stanley Model of Configuration Spaces

abstract:
  We prove the validity over $\mathbb{R}$ of a commutative differential graded
algebra model of configuration spaces for simply connected closed smooth
manifolds, answering a conjecture of Lambrechts--Stanley. We get as a result
that the real homotopy type of such configuration spaces only depends on the
real homotopy type of the manifold. We moreover prove, if the dimension of the
manifold is at least $4$, that our model is compatible with the action of the
Fulton--MacPherson operad (weakly equivalent to the little disks operad) when
the manifold is framed. We use this more precise result to get a complex
computing factorization homology of framed manifolds. Our proofs use the same
ideas as Kontsevich's proof of the formality of the little disks operads.


title: The mutual energy current interpretation for quantum mechanics

abstract:
  Quantum physics has the probability interpretation. From the knowledge of
light, we know that wave is always spread out, and hence the electron wave
should also spread out. That means the electron wave beam should like the light
wave beam become diverged from the source. When the electron is received by an
atom we thought the wave collapse. The place to collapse is depends on the
probability calculated from the square of absolute value of the wave function.
The recent new discovery tell us that the light is not just wave, it is a
combination of waves, retarded potential and advanced potential. These two
potentials together produce the mutual energy current or referred as M-current.
Another light energy current is P-current related to Poynting vector. We found
P-current doesn't carry any energy for light. The contribution of P-current to
energy transfer can be omitted. The light energy is transferred only by
M-current. The beam of M-current doesn't like the beam of P-current which is
diverged from the source, instead, the M-current beam first diverges from a
source and then converged to a sink. Since the M-current at the place to be
received is localized at one electron, the concept of wave function collapse is
needless. The probability results of light is because that we have use
P-current to roughly calculate the M-current. We thought if Schr\"odinger knew
today's light theory, he would for sure also build his wave theory for quantum
mechanics similar to the new light theory with M-current. Hence we claim that
the M-current theory is not only suitable to the light but also can be applied
to the quantum physics. This means all particles are M-current. The M-current
is composed of not only the retarded wave, but also the advanced wave.
M-current is an inner product of a retarded and an advanced waves.


title: Bayesian nonparametric forecasting of monotonic functional time series

abstract:
  We propose a Bayesian nonparametric approach to modelling and predicting a
class of functional time series with application to energy markets, based on
fully observed, noise-free functional data. Traders in such contexts conceive
profitable strategies if they can anticipate the impact of their bidding
actions on the aggregate demand and supply curves, which in turn need to be
predicted reliably. Here we propose a simple Bayesian nonparametric method for
predicting such curves, which take the form of monotonic bounded step
functions. We borrow ideas from population genetics by defining a class of
interacting particle systems to model the functional trajectory, and develop an
implementation strategy which uses ideas from Markov chain Monte Carlo and
approximate Bayesian computation techniques and allows to circumvent the
intractability of the likelihood. Our approach shows great adaptation to the
degree of smoothness of the curves and the volatility of the functional series,
proves to be robust to an increase of the forecast horizon and yields an
uncertainty quantification for the functional forecasts. We illustrate the
model and discuss its performance with simulated datasets and on real data
relative to the Italian natural gas market.


title:
Cosmic Degeneracies II: Structure formation in joint simulations of Warm
  Dark Matter and $f(R)$ gravity

abstract:
  We present for the first time the outcomes of a cosmological N-body
simulation that simultaneously implements a Warm Dark Matter (WDM) particle
candidate and a modified gravitational interaction in the form of $f(R)$
gravity, and compare its results with the individual effects of these two
independent extensions of the standard $\Lambda $CDM scenario, and with the
reference cosmology itself. We consider a rather extreme value of the WDM
particle mass ($m_{\rm WDM}=0.4$ keV) and a single realisation of $f(R)$
gravity with $|\bar{f}_{R0}|=10^{-5}$, and we investigate the impact of these
models and of their combination on a wide range of cosmological observables
with the aim to identify possible observational degeneracies. In particular, we
focus on the large-scale matter distribution, as well as on the statistical and
structural properties of collapsed halos and cosmic voids. Differently from the
case of combining $f(R)$ gravity with massive neutrinos -- previously
investigated in Baldi et al. (2014) -- we find that most of the considered
observables do not show any significant degeneracy due to the fact that WDM and
$f(R)$ gravity are characterised by individual observational footprints with a
very different functional dependence on cosmic scales and halo masses. In
particular, this is the case for the nonlinear matter power spectrum in real
space, for the halo and sub-halo mass functions, for the halo density profiles
and for the concentration-mass relation. However, other observables -- like
e.g. the halo bias -- do show some level of degeneracy between the two models,
while a very strong degeneracy is observed for the nonlinear matter power
spectrum in redshift space, for the density profiles of small cosmic voids --
with radius below $\approx 5$ Mpc$/h$ -- and for the voids abundance as a
function of the void core density.


title: Plancherel Theorem on the Symplectic Group SP(4,R)

abstract:
  Let H be the 15- dimensional connected semisimple Lie group with its Iwasawa
decomposition of H. Let G be the group of the semi direct product of H and the
four dimensional real vector group . The goal of this paper is to define the
Fourier transform in order to obtain the Plancherel theorem on H and so on G.
Since its symplectic group of dimension 10 is a subgroup of H, then it will be
easy to get the Plancherel theorem on the symplectic group and so on its
inhomogeneous group. To this end, we obtain some interesting results on its
nilpotent symplectic group


title:
Vector valued inequalities and Littlewood-Paley operators on Hardy
  spaces

abstract:
  We prove certain vector valued inequalities related to Littlewood-Paley
theory on Euclidean spaces. They can be used in proving characterization of the
Hardy spaces in terms of Littlewood-Paley operators by methods of real
analysis.


title:
Many-body excitations and de-excitations in trapped ultracold bosonic
  clouds

abstract:
  We employ the MultiConfiguraional Time-Dependent Hartree for Bosons (MCTDHB)
method to study excited states of interacting Bose-Einstein condensates
confined by harmonic and double-well trap potentials. Two approaches to access
excitations, a static and a dynamic one, have been studied and contrasted. In
static simulations the low-lying excitations have been computed by utilizing
the LR-MCTDHB method - a linear response theory constructed on-top of a static
MCTDHB solution. Complimentary, we propose two dynamic protocols that address
excitations by propagating the MCTDHB wave-function. In particular, we
investigate dipole-like oscillations induced by shifting the origin of the
confining potential and breathing-like excitations by quenching frequency of a
parabolic part of the trap. To contrast static predictions and dynamic results
we have computed time-evolutions and their Fourier transforms of several local
and non-local observables. Namely, we study evolution of the $\left< x(t)
\right>$, its variance $\operatorname{Var}(x(t))$, and of a local density
computed at a selected position. We found out that the variance is the most
sensitive and informative quantity - along with excitations it contains
information about the de-excitations even in a linear regime of the induced
dynamics. The dynamic protocols are found to access the many-body excitations
predicted by the static LR-MCTDHB approach.


title: Full elasticity tensor from thermal diffuse scattering

abstract:
  We present a method for the precise determination of the full elasticity
tensor from a single crystal diffraction experiment using monochromatic X-rays.
For the two benchmark systems calcite and magnesium oxide we show that the
measurement of thermal diffuse scattering in the proximity of Bragg reflections
provides accurate values of the complete set of elastic constants. This
approach allows for a reliable and model free determination of the elastic
properties and can be performed together with crystal structure investigation
in the same experiment.


title: How many families survive for a long time

abstract:
  A critical branching process $\left\{Z_{k},k=0,1,2,...\right\} $ in a random
environment generated by a sequence of independent and identically distributed
random reproduction laws is considered.\ Let $Z_{p,n}$ be the number of
particles at time $p\leq n$ having a positive offspring number at time $n$. \ A
theorem is proved describing the limiting behavior, as $% n\rightarrow \infty $
of the distribution of a properly scaled process $\log Z_{p,n}$ under the
assumptions $Z_{n}>0$ and $p\ll n$.


title: Wasserstein Discriminant Analysis

abstract:
  Wasserstein Discriminant Analysis (WDA) is a new supervised method that can
improve classification of high-dimensional data by computing a suitable linear
map onto a lower dimensional subspace. Following the blueprint of classical
Linear Discriminant Analysis (LDA), WDA selects the projection matrix that
maximizes the ratio of two quantities: the dispersion of projected points
coming from different classes, divided by the dispersion of projected points
coming from the same class. To quantify dispersion, WDA uses regularized
Wasserstein distances, rather than cross-variance measures which have been
usually considered, notably in LDA. Thanks to the the underlying principles of
optimal transport, WDA is able to capture both global (at distribution scale)
and local (at samples scale) interactions between classes. Regularized
Wasserstein distances can be computed using the Sinkhorn matrix scaling
algorithm; We show that the optimization of WDA can be tackled using automatic
differentiation of Sinkhorn iterations. Numerical experiments show promising
results both in terms of prediction and visualization on toy examples and real
life datasets such as MNIST and on deep features obtained from a subset of the
Caltech dataset.


title:
Spheroidal and Nanocrystal Structures From Carbodiimide Crosslinking
  Reaction With RADA16

abstract:
  RADA16 is a widely studied polypeptide known for its ability to self-assemble
into $\beta$-sheets that form nanofibers. Here we show that it is possible to
self-crosslink the molecule via 1-ethyl-3-(3-dimethylaminopropyl)carbodiimide
hydrochloride (EDC) as aqueous solutions. The product results in a mix of
nanocrystals and near micron-size spherules. SEM and TEM pictures provide a
view of the structures and nano tracking analysis give their size
distributions. FTIR analysis provides evidence for the existence of a
crosslinking reaction.


title:
Covariant Spectator Theory of heavy-light and heavy mesons and the
  predictive power of covariant interaction kernels

abstract:
  The Covariant Spectator Theory (CST) is used to calculate the mass spectrum
and vertex functions of heavy-light and heavy mesons in Minkowski space. The
covariant kernel contains Lorentz scalar, pseudoscalar, and vector
contributions. The numerical calculations are performed in momentum space,
where special care is taken to treat the strong singularities present in the
confining kernel. The observed meson spectrum is very well reproduced after
fitting a small number of model parameters. Remarkably, a fit to a few
pseudoscalar meson states only, which are insensitive to spin-orbit and tensor
forces and do not allow to separate the spin-spin from the central interaction,
leads to essentially the same model parameters as a more general fit. This
demonstrates that the covariance of the chosen interaction kernel is
responsible for the very accurate prediction of the spin-dependent
quark-antiquark interactions.


title:
Massively parallel-in-space-time, adaptive finite element framework for
  non-linear parabolic equations

abstract:
  We present an adaptive methodology for the solution of (linear and)
non-linear time dependent problems that is especially tailored for massively
parallel computations. The basic concept is to solve for large blocks of
space-time unknowns instead of marching sequentially in time. The methodology
is a combination of a computationally efficient implementation of a
parallel-in-space-time finite element solver coupled with a posteriori
space-time error estimates and a parallel mesh generator. This methodology
enables, in principle, simultaneous adaptivity in both space and time (within
the block) domains. We explore this basic concept in the context of a variety
of time-steppers including $\Theta$-schemes and Backward Differentiate
Formulas. We specifically illustrate this framework with applications involving
time dependent linear, quasi-linear and semi-linear diffusion equations. We
focus on investigating how the coupled space-time refinement indicators for
this class of problems affect spatial adaptivity. Finally, we show good scaling
behavior up to 150,000 processors on the Blue Waters machine. This is achieved
by careful usage of memory via block storage and non-zero formats along with
lumped communication for matrix assembly. This methodology enables scaling on
next generation multi-core machines by simultaneously solving for large number
of time-steps, and reduces computational overhead by refining spatial blocks
that can track localized features. This methodology also opens up the
possibility of efficiently incorporating adjoint equations for error estimators
and inverse design problems, since blocks of space-time are simultaneously
solved and stored in memory.


title:
The Born rule as a parallel transport equation: Detecting multiqudit
  state-preparation and measurement correlations

abstract:
  In the context of quantum tomography, we recently introduced a quantity
called a partial determinant \cite{jackson2015detecting}. PDs (partial
determinants) are explicit functions of the collected data which are sensitive
to the presence of state-preparation-and-measurement (SPAM) correlations.
Importantly, this is done without any need to estimate state-preparation or
measurement parameters. In the present work, we wish to better explain our
theoretical perspective behind the PD. Further, we would like to demonstrate
that there is an overwhelming variety of applications and generalizations of
the PD. In particular we will construct methods for detecting SPAM correlations
in multiqudit systems. The relationship between the PDs of each method and the
correlations they are sensitive to is topological. We give a classification of
all such methods but focus on explicitly detailing only the most scalable
methods, $\mathcal{O}(d^4)$.


title:
Secondary radiation measurements for particle therapy applications:
  nuclear fragmentation produced by $^4$He ion beams in a PMMA target

abstract:
  Nowadays there is a growing interest in Particle Therapy treatments
exploiting light ion beams against tumors due to their enhanced Relative
Biological Effectiveness and high space selectivity. In particular promising
results are obtained by the use of $^4$He projectiles. Unlike the treatments
performed using protons, the beam ions can undergo a fragmentation process when
interacting with the atomic nuclei in the patient body. In this paper the
results of measurements performed at the Heidelberg Ion-Beam Therapy center are
reported. For the first time the absolute fluxes and the energy spectra of the
fragments - protons, deuterons, and tritons - produced by $^4$He ion beams of
102, 125 and 145 MeV/u energies on a poly-methyl methacrylate target were
evaluated at different angles. The obtained results are particularly relevant
in view of the necessary optimization and review of the Treatment Planning
Software being developed for clinical use of $^4$He beams in clinical routine
and the relative benchmarking of Monte Carlo algorithm predictions.


title: Massive Computation for Understanding Core-Collapse Supernova Explosions

abstract:
  How do massive stars explode? Progress toward the answer is driven by
increases in compute power. Petascale supercomputers are enabling detailed
three-dimensional simulations of core-collapse supernovae. These are
elucidating the role of fluid instabilities, turbulence, and magnetic field
amplification in supernova engines.


title:
Space-time domain velocity distributions in isotropic radiative transfer
  in two dimensions

abstract:
  We compute the exact solutions of the radiative transfer equation in two
dimensions for isotropic scattering. The intensity and the radiance are given
in the space-time domain for isotropic and unidirectional sources. These
analytical results are compared to Monte-Carlo simulations in four particular
situations.


title:
Discovery of two new Fast X-ray Transients with INTEGRAL: IGR
  J03346+4414 and IGR J20344+3913

abstract:
  We report on the discovery of two Fast X-ray Transients (FXTs) from analysis
of archival INTEGRAL data. Both are characterized by a remarkable hard X-ray
activity above 20 keV, in term of duration (about 15 and 30 minutes,
respectively), peak-flux (about 10^-9 erg cm^-2 s^-1) and dynamic range (about
2400 and 1360, respectively). Swift/XRT follow-up observations failed to detect
any quiescent or low level soft X-ray emission from either of the two FXTs,
providing an upper limit of the order of a few times 10^-12 erg cm^-2 s^-1. The
main spectral and temporal IBIS/ISGRI characteristics are presented and
discussed with the aim of infering possible hints on their nature.


title:
A Novel Approach to Multimedia Ontology Engineering for Automated
  Reasoning over Audiovisual LOD Datasets

abstract:
  Multimedia reasoning, which is suitable for, among others, multimedia content
analysis and high-level video scene interpretation, relies on the formal and
comprehensive conceptualization of the represented knowledge domain. However,
most multimedia ontologies are not exhaustive in terms of role definitions, and
do not incorporate complex role inclusions and role interdependencies. In fact,
most multimedia ontologies do not have a role box at all, and implement only a
basic subset of the available logical constructors. Consequently, their
application in multimedia reasoning is limited. To address the above issues,
VidOnt, the very first multimedia ontology with SROIQ(D) expressivity and a
DL-safe ruleset has been introduced for next-generation multimedia reasoning.
In contrast to the common practice, the formal grounding has been set in one of
the most expressive description logics, and the ontology validated with
industry-leading reasoners, namely HermiT and FaCT++. This paper also presents
best practices for developing multimedia ontologies, based on my ontology
engineering approach.


title: On approximation of ultraspherical polynomials in the oscillatory region

abstract:
  For $k \ge 2$ even, and $ \alpha \ge -(2k+1)/4 $, we provide a uniform
approximation of the ultraspherical polynomials $ P_k^{(\alpha,\, \alpha)}(x) $
in the oscillatory region with a very explicit error term. In fact, our result
covers all $\alpha$ for which the expression "oscillatory region" makes sense.
We show that there the function $g(x)={c \sqrt{b(x)} \, (1-x^2)^{(\alpha+1)/2}
P_k^{(\alpha, \alpha)}(x)=\cos \mathcal{B}(x)+ r(x)}$, where $c=c(k, \alpha)$
is defined by the normalization, $\mathcal{B}(x)=\int_{0}^ x b(x) dx$, and the
functions $c,\, b(x), \, \mathcal{B}(x)$, as well as bounds on the error term
$r(x)$ are given by some rather simple elementary functions.


title:
A representation for exchangeable coalescent trees and generalized
  tree-valued Fleming-Viot processes

abstract:
  We give a de Finetti type representation for exchangeable random coalescent
trees (formally described as semi-ultrametrics) in terms of sampling iid
sequences from marked metric measure spaces. We apply this representation to
define versions of tree-valued Fleming-Viot processes from a $\Xi$-lookdown
model. As state spaces for these processes, we use, besides the space of
isomorphy classes of metric measure spaces, also the space of isomorphy classes
of marked metric measure spaces and a space of distance matrix distributions.
This allows to include the case with dust in which the genealogical trees have
isolated leaves.


title:
Harmonic moments and large deviations for a supercritical branching
  process in a random environment

abstract:
  Let $(Z_n)$ be a supercritical branching process in an independent and
identically distributed random environment $\xi$. We study the asymptotic of
the harmonic moments $\mathbb{E}\left[Z_n^{-r} | Z_0=k \right]$ of order $r>0$
as $n \to \infty$. We exhibit a phase transition with the critical value
$r_k>0$ determined by the equation $\mathbb E p_1^k = \mathbb E m_0^{-r_k},$
where $m_0=\sum_{k=0}^\infty k p_k$ with $p_k=\mathbb P(Z_1=k | \xi),$ assuming
that $p_0=0.$ Contrary to the constant environment case (the Galton-Watson
case), this critical value is different from that for the existence of the
harmonic moments of $W=\lim_{n\to\infty} Z_n / \mathbb E (Z_n|\xi).$ The
aforementioned phase transition is linked to that for the rate function of the
lower large deviation for $Z_n$. As an application, we obtain a lower large
deviation result for $Z_n$ under weaker conditions than in previous works and
give a new expression of the rate function. We also improve an earlier result
about the convergence rate in the central limit theorem for $W-W_n,$ and find
an equivalence for the large deviation probabilities of the ratio $Z_{n+1} /
Z_n$.


title:
Bayesian Sequentially Monitored Multi-arm Experiments with Multiple
  Comparison Adjustments

abstract:
  Randomized experiments play a major role in data-driven decision making
across many different fields and disciplines. In medicine, for example,
randomized controlled trials (RCTs) are the backbone of clinical trial
methodology for testing the efficacy of new drugs and therapies versus existing
treatments or placebo. In business and marketing, randomized experiments are
typically referred to as A/B tests when there are only two arms, or variants,
in the experiment, and as multivariate A/B tests when there are more than two
arms. Typical applications of A/B tests include comparing the effectiveness of
different ad campaigns, evaluating how people respond to different website
layouts, or comparing different customer subpopulations to each other.
  This paper focuses on multivariate A/B testing from a digital marketing
perspective, and presents a method for the sequential monitoring of such
experiments while accounting for the issue of multiple comparisons. In adapting
and combining the methods of two previous works, the method presented herein is
straightforward to implement using standard statistical software and performs
quite well in various simulation studies, exhibiting better power and smaller
average sample sizes than comparable methods.