title:
A search for X-ray reprocessing echoes in the power spectral density
  functions of AGN

abstract:
  We present the results of a detailed study of the X-ray power spectra density
(PSD) functions of twelve X-ray bright AGN, using almost all the archival
XMM-Newton data. The total net exposure of the EPIC-pn light curves is larger
than 350 ks in all cases (and exceeds 1 Ms in the case of 1H 0707-497). In a
physical scenario in which X-ray reflection occurs in the inner part of the
accretion disc of AGN, the X-ray reflection component should be a filtered echo
of the X-ray continuum signal and should be equal to the convolution of the
primary emission with the response function of the disc. Our primary objective
is to search for these reflection features in the 5-7 keV (iron line) and 0.5-1
keV (soft) bands, where the X-ray reflection fraction is expected to be
dominant. We fit to the observed periodograms two models: a simple bending
power law model (BPL) and a BPL model convolved with the transfer function of
the accretion disc assuming the lamp-post geometry and X-ray reflection from a
homogeneous disc. We do not find any significant features in the best-fitting
BPL model residuals either in individual PSDs in the iron band, soft and full
band (0.3-10 keV) or in the average PSD residuals of the brightest and more
variable sources (with similar black hole mass estimates). The typical
amplitude of the soft and full-band residuals is around 3-5 per cent. It is
possible that the expected general relativistic effects are not detected
because they are intrinsically lower than the uncertainty of the current PSDs,
even in the strong relativistic case in which X-ray reflection occurs on a disc
around a fast rotating black hole having an X-ray source very close above it.
However, we could place strong constrains to the X-ray reflection geometry with
the current data sets if we knew in advance the intrinsic shape of the X-ray
PSDs, particularly its high frequency slope.

categories: astro-ph.HE astro-ph.CO astro-ph.GA gr-qc


title:
Cosmological constraints on Agegraphic dark energy in DGP braneworld
  gravity

abstract:
  A proposal to study the original and new agegraphic dark energy in DGP
braneworld cosmology is presented in this work. To verify our model with the
observational data, the model is constrained by a variety of independent
measurements such as Hubble parameter, cosmic microwave background
anisotropies, and baryon acoustic oscillation peaks. The best fitting procedure
shows the effectiveness of agegraphic parameter $n$ in distinguishing between
the original and new agegraphic dark energy scenarios and subsequent
cosmological findings. In particular, the result shows that in both scenarios,
our universe enters an agegraphic dark energy dominated phase.


title: Traversable asymptotically flat wormholes in Rastall gravity

abstract:
  There are some gravitational theories in which the ordinary energy-momentum
conservation law is not valid in the curved spacetime. Rastall gravity is one
of the known theories in this regard which includes a non-minimal coupling
between geometry and matter fields. Equipped with the basis of such theory, we
study the properties of traversable wormholes with flat asymptotes. We
investigate the possibility of exact solutions by a source with the baryonic
matter state parameter. Our survey indicates that Rastall theory has
considerable effects on the wormhole characteristics. In addition, we study
various case studies and show that the weak energy condition may be met for
some solutions. We also give a discussion regarding to traversability of such
wormhole geometry with phantom sources.


title: On the Geometry of the Hamilton-Jacobi Equation and Generating Functions

abstract:
  In this paper we develop a geometric version of the Hamilton-Jacobi equation
in the Poisson setting. Specifically, we "geometrize" what is usually called a
complete solution of the Hamilton-Jacobi equation. We use some well-known
results about symplectic groupoids, in particular cotangent groupoids, as a
keystone for the construction of our framework. Our methodology follows the
ambitious program proposed by A. Weinstein, [62], in order to develop geometric
formulations of the dynamical behavior of Lagrangian and Hamiltonian systems on
Lie algebroids and Lie groupoids. This procedure allows us to take symmetries
into account, and, as a by-product, we recover results from [14, 29, 31], but
even in these situations our approach is new. A theory of generating functions
for the Poisson structures considered here is also developed following the same
pattern, solving a longstanding problem of the area: how to obtain a generating
function for the identity tranformation and the nearby Poisson automorphisms of
Poisson manifolds. A direct application of our results give the construction of
a family of Poisson integrators, that is, integrators that conserve the
underlying Poisson geometry. These integrators are implemented in the paper in
benchmark problems. Some conclusions, current and future directions of research
are shown at the end of the paper.


title:
HATS-18 b: An Extreme Short--Period Massive Transiting Planet Spinning
  Up Its Star

abstract:
  We report the discovery by the HATSouth network of HATS-18 b: a 1.980 +/-
0.077 Mj, 1.337 +0.102 -0.049 Rj planet in a 0.8378 day orbit, around a solar
analog star (mass 1.037 +/- 0.047 Msun, and radius 1.020 +0.057 -0.031 Rsun)
with V=14.067 +/- 0.040 mag. The high planet mass, combined with its short
orbital period, implies strong tidal coupling between the planetary orbit and
the star. In fact, given its inferred age, HATS-18 shows evidence of
significant tidal spin up, which together with WASP-19 (a very similar system)
allows us to constrain the tidal quality factor for Sun-like stars to be in the
range 6.5 <= lg(Q*/k_2) <= 7 even after allowing for extremely pessimistic
model uncertainties. In addition, the HATS-18 system is among the best systems
(and often the best system) for testing a multitude of star--planet
interactions, be they gravitational, magnetic or radiative, as well as planet
formation and migration theories.


title: Standard Model vacuum decay with gravity

abstract:
  We present a calculation of the decay rate of the electroweak vacuum, fully
including all gravitational effects and a possible non-minimal Higgs-curvature
coupling $\xi$, and using the three-loop Standard Model effective potential.
Without a non-minimal coupling, we find that the effect of the gravitational
backreaction is small and less significant than previous calculations
suggested. The gravitational effects are smallest, and almost completely
suppressed, near the conformal value $\xi=1/6$ of the non-minimal coupling.
Moving $\xi$ away from this value in either direction universally suppresses
the decay rate.


title: Face Detection with End-to-End Integration of a ConvNet and a 3D Model

abstract:
  This paper presents a method for face detection in the wild, which integrates
a ConvNet and a 3D mean face model in an end-to-end multi-task discriminative
learning framework. The 3D mean face model is predefined and fixed (e.g., we
used the one provided in the AFLW dataset). The ConvNet consists of two
components: (i) The face pro- posal component computes face bounding box
proposals via estimating facial key-points and the 3D transformation (rotation
and translation) parameters for each predicted key-point w.r.t. the 3D mean
face model. (ii) The face verification component computes detection results by
prun- ing and refining proposals based on facial key-points based configuration
pooling. The proposed method addresses two issues in adapting state- of-the-art
generic object detection ConvNets (e.g., faster R-CNN) for face detection: (i)
One is to eliminate the heuristic design of prede- fined anchor boxes in the
region proposals network (RPN) by exploit- ing a 3D mean face model. (ii) The
other is to replace the generic RoI (Region-of-Interest) pooling layer with a
configuration pooling layer to respect underlying object structures. The
multi-task loss consists of three terms: the classification Softmax loss and
the location smooth l1 -losses [14] of both the facial key-points and the face
bounding boxes. In ex- periments, our ConvNet is trained on the AFLW dataset
only and tested on the FDDB benchmark with fine-tuning and on the AFW benchmark
without fine-tuning. The proposed method obtains very competitive
state-of-the-art performance in the two benchmarks.


title:
Extracting inter-dot tunnel couplings between few donor quantum dots in
  silicon

abstract:
  The long term scaling prospects for solid-state quantum computing
architectures relies heavily on the ability to simply and reliably measure and
control the coherent electron interaction strength, known as the tunnel
coupling, $t_c$. Here, we describe a method to extract the $t_c$ between two
quantum dots (QDs) utilising their different tunnel rates to a reservoir. We
demonstrate the technique on a few donor triple QD tunnel coupled to a nearby
single-electron transistor (SET) in silicon. The device was patterned using
scanning tunneling microscopy-hydrogen lithography allowing for a direct
measurement of the tunnel coupling for a given inter-dot distance. We extract
${t}_{{\rm{c}}}=5.5\pm 1.8\;{\rm{GHz}}$ and ${t}_{{\rm{c}}}=2.2\pm
1.3\;{\rm{GHz}}$ between each of the nearest-neighbour QDs which are separated
by 14.5 nm and 14.0 nm, respectively. The technique allows for an accurate
measurement of $t_c$ for nanoscale devices even when it is smaller than the
electron temperature and is an ideal characterisation tool for multi-dot
systems with a charge sensor.


title: Thermodynamics and holography of tachyon cosmology

abstract:
  Recently, we have investigated the dynamics of the universe in tachyon
cosmology with non-minimal coupling to matter \cite{faraj}-\cite{faraj3}. In
particular, for the interacting holographic dark energy (IHDE), the model is
studied in \cite{Ravanpak}. In the current work, a significant observational
program has been conducted to unveil the model's thermodynamic properties. Our
result shows that the IHDE version of our model better fits the observational
data than $\Lambda$CDM model. The first and generalized second thermodynamics
laws for the universe enveloped by cosmological apparent and event horizon are
revisited. From the results, both first and generalized second laws,
constrained by the observational data, are satisfied on cosmological apparent
horizon.In addition, the total entropy is verified with the observation only if
the horizon of the universe is taken as apparent horizon. Then, due to validity
of generalized second law, the current cosmic acceleration is also predicted.


title: Existence of sublattice points in lattice polygons

abstract:
  We state the formula for the critical number of vertices of a convex lattice
polygon that guarantees that the polygon contains at least one point of a given
sublattice and give a partial proof of the formula. We show that the proof can
be reduced to finding upper bounds on the number of vertices in certain classes
of polygons. To obtain these bounds, we establish inequalities relating the
number of edges of a broken line and the coordinates of its endpoints within a
suitable class of broken lines.


title:
New information and entropic inequalities for Clebsch-Gordan
  coefficients

abstract:
  The Clebsch-Gordan coefficients of the group SU(2) are shown to satisfy new
inequalities. They are obtained using the properties of Shannon and Tsallis
entropies. The inequalities associated with the Wigner 3-j symbols are obtained
using the relation of Clebsch-Gordan coefficients with probability
distributions interpreted either as distributions for composite systems or
distributions for noncomposite systems. The new inequalities were found for
Hahn polynomials and hypergeometric functions


title: Bounds on the number of vertices of sublattice-free lattice polygons

abstract:
  In this paper we establish bounds on the number of vertices for a few classes
of convex sublattice-free lattice polygons. The bounds are essential for
proving the formula for the critical number of vertices of a lattice polygon
that ensures the existence of a sublattice point in the polygon. To obtain the
bounds, we use relations between the number of edges of lattice broken lines
and the coordinates of their endpoints.


title: Sequential Principal Curves Analysis

abstract:
  This work includes all the technical details of the Sequential Principal
Curves Analysis (SPCA) in a single document. SPCA is an unsupervised nonlinear
and invertible feature extraction technique. The identified curvilinear
features can be interpreted as a set of nonlinear sensors: the response of each
sensor is the projection onto the corresponding feature. Moreover, it can be
easily tuned for different optimization criteria; e.g. infomax, error
minimization, decorrelation; by choosing the right way to measure distances
along each curvilinear feature. Even though proposed in [Laparra et al. Neural
Comp. 12] and shown to work in multiple modalities in [Laparra and Malo
Frontiers Hum. Neuro. 15], the SPCA framework has its original roots in the
nonlinear ICA algorithm in [Malo and Gutierrez Network 06]. Later on, the SPCA
philosophy for nonlinear generalization of PCA originated substantially faster
alternatives at the cost of introducing different constraints in the model.
Namely, the Principal Polynomial Analysis (PPA) [Laparra et al. IJNS 14], and
the Dimensionality Reduction via Regression (DRR) [Laparra et al. IEEE TGRS
15]. This report illustrates the reasons why we developed such family and is
the appropriate technical companion for the missing details in [Laparra et al.,
NeCo 12, Laparra and Malo, Front.Hum.Neuro. 15]. See also the data, code and
examples in the dedicated sites http://isp.uv.es/spca.html and
http://isp.uv.es/after effects.html


title:
Topological superconductivity in monolayer transition metal
  dichalcogenides

abstract:
  Theoretically it has been known that breaking spin-degeneracy and effectively
realizing 'spinless fermions' is a promising path to topological
superconductors. Yet, topological superconductors are rare to date. Here, we
propose to realize spinless fermions by splitting the spin-degeneracy in
momentum space. Specifically, we identify monolayer hole-doped transition metal
dichalcogenide (TMD)s as candidates for topological superconductors out of such
momentum-space-split spinless fermions. Although electron-doped TMDs have
recently been found superconducting, the observed superconductivity is unlikely
topological due to the near spin-degeneracy. Meanwhile, hole-doped TMDs with
momentum-space-split spinless fermions remain unexplored. Employing a
renormalization group analysis, we propose that the unusual spin-valley locking
in hole-doped TMDs together with repulsive interactions selectively favors two
topological superconducting states: inter-pocket paired state with Chern number
2 and intra-pocket paired state with finite pair-momentum. A confirmation of
our predictions will open up possibilities for manipulating topological
superconductors on the device friendly platform of monolayer TMDs.


title: Impact of Community Structure on Cascades

abstract:
  We study cascades under the threshold model on sparse random graphs with
community structure. In this model, individuals adopt the new behavior based on
how many neighbors have already chosen it. Specifically, we consider the
permanent adoption model wherein individuals that have adopted the new behavior
(or opinion) cannot change their state. We present a
differential-equation-based tight approximation to the stochastic process of
adoption and prove the validity of the mean-field equations. In addition, we
characterize both necessary and sufficient conditions for contagion to happen
no matter how small the set of initial adopters is. Finally, we study the
problem of optimum seeding given budget constraints and propose a
gradient-based heuristic seeding strategy. Our algorithm, numerically, dispels
commonly held beliefs in the literature that suggest the best seeding strategy
is to seed over the vertices with the highest number of neighbors.


title:
A Variational Principle for the Axisymmetric Stability of Rotating
  Relativistic Stars

abstract:
  It is well known that all rotating perfect fluid stars in general relativity
are unstable to certain non-axisymmetric perturbations via the
Chandrasekhar-Friedman-Schutz (CFS) instability. However, the mechanism of the
CFS instability requires, in an essential way, the loss of angular momentum by
gravitational radiation and, in many instances, it acts on too long a timescale
to be physically/astrophysically relevant. It is therefore of interest to
examine the stability of rotating, relativistic stars to axisymmetric
perturbations, where the CFS instability does not occur. In this paper, we
provide a Rayleigh-Ritz type variational principle for testing the stability of
perfect fluid stars to axisymmetric perturbations, which generalizes to
axisymmetric perturbations of rotating stars a variational principle given by
Chandrasekhar for spherical perturbations of static, spherical stars. Our
variational principle provides a lower bound to the rate of exponential growth
in the case of instability. The derivation closely parallels the derivation of
a recently obtained variational principle for analyzing the axisymmetric
stability of black holes.


title: Applications of some exponential sums on prime powers: a survey

abstract: A survey paper on some recent results on additive problems with prime powers.


title: Conformal symplectic geometry of cotangent bundles

abstract:
  We prove a version of the Arnol'd conjecture for Lagrangian submanifolds of
conformal symplectic manifolds: a Lagrangian $L$ which has non-zero
Morse-Novikov homology for the restriction of the Lee form $\beta$ cannot be
disjoined from itself by a $C^0$-small Hamiltonian isotopy. Furthermore for
generic such isotopies the number of intersection points equals at least the
sum of the free Betti numbers of the Morse-Novikov homology of $\beta$. We also
give a short exposition of conformal symplectic geometry, aimed at readers who
are familiar with (standard) symplectic or contact geometry.


title: Stochastic Dynamics of Growing Young Diagrams and Their Limit Shapes

abstract:
  We investigate a class of Young diagrams growing via the addition of unit
cells and satisfying the constraint that the height difference between adjacent
columns $\geq r$. In the long time limit, appropriately re-scaled Young
diagrams approach a limit shape that we compute for each integer $r\geq 0$. We
also determine limit shapes of `diffusively' growing Young diagrams satisfying
the same constraint and evolving through the addition and removal of cells that
proceed with equal rates.

categories: cond-mat.stat-mech math-ph math.MP math.PR


title: The load-response of the flagellar beat

abstract:
  Cilia and flagella exhibit regular bending waves that perform mechanical work
on the surrounding fluid, to propel cellular swimmers and pump fluids inside
organisms. Here, we quantify a force-velocity relationship of the beating
flagellum, by exposing flagellated \emph{Chlamydomonas} cells to controlled
microfluidic flows. A simple theory of flagellar limit-cycle oscillations,
calibrated by measurements in the absence of flow, reproduces this relationship
quantitatively. We derive a link between the chemo-mechanical efficiency of the
flagellar beat and its ability to synchronize to oscillatory flows.


title:
Mobile phone data for public health: towards data-sharing solutions that
  protect individual privacy and national security

abstract:
  We outline the constraints faced by operators when deciding to share
de-identified data with researchers or policy makers. We describe a
conservative approach that we have taken to harness the value of CDRs for
infectious disease epidemiology while ensuring that identification of
individuals is impossible. We believe this approach serves as a useful and
highly conservative model for productive partnerships between mobile operators,
researchers, and public health practitioners.


title: A spartan model for the LHC diphoton excess

abstract:
  We propose a simple model accommodating the reported 750 GeV diphoton excess
seen in the first 13-TeV run of the LHC. It leads to testable predictions, in
particular for di-lepton production, at higher integrated luminosity. We append
to the minimal standard model a new gauge sector with its own SU(2) symmetry
group. A new complex doublet scalar field provides mass for the new vectors and
describes the 750-GeV resonance. An adequate rate for the diphoton signals,
with resonant production via photon fusion, requires the VEV of the new scalar
field to be somewhat less than the electroweak scale. This in turn requires the
new heavy vectors to have sub-TeV masses and be relatively strongly coupled. A
new global U(1) symmetry plays a key role. Current precision-electroweak
constraints are respected.


title:
A statistical study of gyro-averaging effects in a reduced model of
  drift-wave transport

abstract:
  A statistical study of finite Larmor radius (FLR) effects on transport driven
by electrostatic drift-waves is presented. The study is based on a reduced
discrete Hamiltonian dynamical system known as the gyro-averaged standard map
(GSM). In this system, FLR effects are incorporated through the gyro-averaging
of a simplified weak-turbulence model of electrostatic fluctuations. Formally,
the GSM is a modified version of the standard map in which the perturbation
amplitude, $K_0$, becomes $K_0 J_0(\hat{\rho})$, where $J_0$ is the
zeroth-order Bessel function and $\hat{\rho}$ is the Larmor radius. Assuming a
Maxwellian probability density function (pdf) for $\hat{\rho}$, we compute
analytically and numerically the pdf and the cumulative distribution function
of the effective drift-wave perturbation amplitude $K_0 J_0(\hat{\rho})$. Using
these results we compute the probability of loss of confinement (i.e., global
chaos), $P_{c}$, and the probability of trapping in the main drift-wave
resonance, $P_{t}$. It is shown that $P_{c}$ provides an upper bound for the
escape rate, and that $P_{t}$ provides a good estimate of the particle trapping
rate. The analytical results are compared with direct numerical Monte-Carlo
simulations of particle transport.


title:
Surface Brightness Profiles of Dwarf Galaxies: II. Color Trends and Mass
  Profiles

abstract:
  In this second paper of a series, we explore the B-V, U-B, and FUV-NUV radial
color trends from a multi-wavelength sample of 141 dwarf disk galaxies. Like
spirals, dwarf galaxies have three types of radial surface brightness profiles:
(I) single exponential throughout the observed extent (the minority), (II)
down-bending (the majority), and (III) up-bending. We find that colors of (1)
Type I dwarfs generally become redder with increasing radius unlike spirals
that have a blueing trend that flattens beyond ~1.5 disk scale lengths, (2)
Type II dwarfs come in six different "flavors," one of which mimics the "U"
shape of spirals, and (3) Type III dwarfs have a stretched "S" shape where
central colors are flattish, become steeply redder to the surface brightness
break, then remain roughly constant beyond, similar to spiral TypeIII color
profiles, but without the central outward bluing. Faint (-9 > M_B > -14) Type
II dwarfs tend to have continuously red or "U" shaped colors and steeper color
slopes than bright (-14 > M_B > -19) Type II dwarfs, which additionally have
colors that become bluer or remain constant with increasing radius. Sm dwarfs
and BCDs tend to have at least some blue and red radial color trend,
respectively. Additionally, we determine stellar surface mass density (Sigma)
profiles and use them to show that the break in Sigma generally remains in Type
II dwarfs (unlike Type II spirals) but generally disappears in Type III dwarfs
(unlike Type III spirals). Moreover, the break in Sigma is strong,
intermediate, and weak in faint dwarfs, bright dwarfs, and spirals,
respectively, indicating that Sigma may straighten with increasing galaxy mass.
Lastly, the average stellar surface mass density at the surface brightness
break is roughly 1-2 M_S/pc^2 for Type II dwarfs but higher at 5.9 M_S/pc^2 or
27 M_S/pc^2 for Type III BCDs and dIms, respectively.


title: Unified Framework for Quantification

abstract:
  Quantification is the machine learning task of estimating test-data class
proportions that are not necessarily similar to those in training. Apart from
its intrinsic value as an aggregate statistic, quantification output can also
be used to optimize classifier probabilities, thereby increasing classification
accuracy. We unify major quantification approaches under a constrained
multi-variate regression framework, and use mathematical programming to
estimate class proportions for different loss functions. With this modeling
approach, we extend existing binary-only quantification approaches to
multi-class settings as well. We empirically verify our unified framework by
experimenting with several multi-class datasets including the Stanford
Sentiment Treebank and CIFAR-10.


title: Ces\`aro average in short intervals for Goldbach numbers

abstract:
  We prove that a suitable explicit formula for the Cesaro-averaged number of
representations of an integer as a sum of two primes holds in short intervals.


title: The critical groups of the Peisert graphs $P^*(q)$

abstract:
  The critical group of a finite graph is an abelian group defined by the Smith
normal form of the Laplacian. We determine the the critical groups of the
Peisert graphs, a certain family of strongly regular graphs similar to, but
different from, the Paley graphs. It is further shown thatthe adjacency
matrices of the two graphs defined over a field of order $p^2$ with $p\equiv
3\pmod 4$ are similar over the $\ell$-local integers for every prime $\ell$.
Consequently, each such pair of graphs provides an example where all the
corresponding generalized adjacency matrices are both cospectral and equivalent
in the sense of Smith normal form.


title:
The Dirac equation in two dimensions: Dispersive estimates and
  classification of threshold obstructions

abstract:
  We investigate dispersive estimates for the two dimensional Dirac equation
with a potential. In particular, we show that the Dirac evolution satisfies a
$t^{-1}$ decay rate as an operator from the Hardy space $H^1$ to $BMO$, the
space of functions of bounded mean oscillation. This estimate, along with the
$L^2$ conservation law allows one to deduce a family of Strichartz estimates.
We classify the structure of threshold obstructions as being composed of s-wave
resonances, p-wave resonances and eigenfunctions. We show that, as in the case
of the Schr\"odinger evolution, the presence of a threshold s-wave resonance
does not destroy the $t^{-1}$ decay rate. As a consequence of our analysis we
obtain a limiting absorption principle in the neighborhood of the threshold,
and show that there are only finitely many eigenvalues in the spectral gap.


title: An Optical and Near-Infrared Study of the Type Ia/IIn Supernova PS15si

abstract:
  We present optical/near-infrared spectroscopy and photometry of the supernova
(SN) PS15si. This object was originally identified as a Type IIn SN, but here
we argue that it should be reclassified as a Type Ia SN with narrow hydrogen
lines originating from interaction with circumstellar matter (CSM; i.e., SN
Ia/IIn or SN Ia-CSM). Based on deep nondetections 27 days before discovery, we
infer that this SN was discovered around or slightly before optical maximum,
and we estimate the approximate time that it reached R-band maximum based on
comparison with other SNe Ia/IIn. In terms of spectral morphology, we find that
PS15si can be matched to a range of SN Ia spectral types, although SN
1991T-like SNe Ia provides the most self-consistent match. While this
observation agrees with analysis of most other SNe Ia/IIn, we find that the
implied CSM luminosity is too low to account for the overall luminosity of the
SN at a time when the CSM should outshine the underlying SN by a few
magnitudes. We infer that the similarity between PS15si and the hot,
overluminous, high-ionisation spectrum of SN 1991T is a consequence of a
spectrum that originates in ejecta layers that are heated by ultraviolet/X-ray
radiation from CSM interaction. In addition, PS15si may have rebrightened over
a short timescale in the B and V bands around 85 days after discovery, perhaps
indicating that the SN ejecta are interacting with a local enhancement in CSM
produced by clumps or a shell at large radii.


title: Optimal Existence and Uniqueness Theory for the Fractional Heat Equation

abstract:
  We construct a theory of existence, uniqueness and regularity of solutions
for the fractional heat equation $\partial_t u +(-\Delta)^s u=0$, $0<s<1$,
posed in the whole space $\mathbb{R}^N$ with data in a class of locally bounded
Radon measures that are allowed to grow at infinity with an optimal growth
rate. We consider a class of nonnegative weak solutions and prove that there is
an equivalence between nonnegative data and solutions, which is given in one
direction by the representation formula, in the other one by the initial trace.
We review many of the typical properties of the solutions, in particular we
prove optimal pointwise estimates and new Harnack inequalities.


title:
Factors Influencing mHealth Acceptance among Elderly People in
  Bangladesh

abstract:
  mHealth (mobile health) be the blessing of ICT and is probably one of the
most prominent services with noticeable effect on the development of healthcare
sector. Given the potential benefits mHealth can bring to older people, it is
important to understand the users (elderly population) intention to use the
technology. However, little research has been done to draw any systematic study
of elderlys adoption and usage of mHealth. The aim of this study is to
determine factors that influence the adoption and use of mHealth technology and
services by the elderly in Bangladesh. This research will develop a theoretical
model to determine the elderly behavioral intention to adopt mHealth
application. It is intended to determine if there is any significant
relationship between attitudinal constructs such as Performance Expectancy,
Effort Expectancy, Social Influence, Facilitating Condition, Hedonic
Motivation, Price Value, Habit and acceptance of mHealth services in
Bangladesh. The study will also investigate the moderating role of gender &
experience and their influence on the adoption of mHealth technology and
services.


title:
Investigating the Role of Socio-organizational Factors in the
  Information Security Compliance in Organizations

abstract:
  The increase reliance on information systems has created unprecedented
challenges for organizations to protect their critical information from
different security threats that have direct consequences on the corporate
liability, loss of credibility, and monetary damage. As a result, the security
of information has become a top priority in many organizations. This study
investigates the role of socio-organizational factors by drawing the insights
from the organizational theory literature in the adoption of information
security compliance in organizations. Based on the analysis of the survey data
collected from 294 employees from different organizations, the study indicates
management commitment, awareness and training, accountability, technology
capability, technology compatibility, processes integration, and audit and
monitoring have a significant positive impact on the adoption of information
security compliance in organizations. The study contributes to the information
security compliance research by exploring the criticality of
socio-organizational factors at the organizational level for information
security compliance.


title:
How E-Mental Health Services Benefit University Students with ADHD: A
  literature Review

abstract:
  E-mental health is an area within e-health in which the key role of IS/IT has
not been well established. Both clinicians and scholars are uncertain as to the
role of IS/IT and its potential benefits. This research review is introduced to
assist in understanding the enabling role in e-mental health and it focused on
one area of mental health, Attention Deficit Hyperactivity Disorder (ADHD) in
university students. ADHD is estimated to affect approximately 6% of university
students by negatively impacting students' academic performance and social
life; hence, fewer of these students complete their degrees as compared to
their peers. This review outlines the potentials of using IS/IT in the
treatment of ADHD in university students. It also serves to greatly contribute
to e-mental health development and thereby to help to uncover further
possibilities of IT/IT to support broad areas within mental health disorders
and services.


title:
Aligning Enterprise Systems with the Organisation A Sensemaking
  Perspective

abstract:
  This paper explores the alignment of enterprise systems and organisations on
the post-adoptive phase. A research model is presented focusing on the
alignment decisions in the managerial search process for solutions to business
problems related to enterprise systems. Based on the research model we propose
research questions for future research, particularly to analyse how managerial
identity would affect the alignment decisions.


title:
Internal versus external recruitment the story of three consecutive
  project managers in an IT project

abstract:
  As project managers (PMs) play an important role in project success,
assigning PMs with appropriate skills and personalities to projects is a
crucial task. Empirical research on skill requirements for information
technology (IT) PMs is limited and little information systems literature
focuses on the role of internally recruited IT PMs. This paper presents a case
study of a troubled IT project which was led by three consecutive PMs, all with
different backgrounds, skill sets, and personalities. Lessons learned from the
three PMs confirm the importance of some skills previously described in the
literature, and the need for an additional focus on how an IT PMs personality
encourages or inhibits IT project outcomes. Internally recruited PMs usually
lack IT project management expertise and experience but were found to have
advantages in understanding organisational culture and business processes.
Nevertheless, IT project management expertise was found to be a necessity of
project success.


title:
ICTs Effect on Parents Feelings of Presence, Awareness, and
  Connectedness during a Childs Hospitalization

abstract:
  This study evaluates how off-the-shelf commercial ICTs can contribute to
creating a feeling of Presence, Connectedness, and Awareness between parents
and their hospitalized child. Thematic analysis and descriptive statistics are
used to analyse qualitative and quantitative data collected through a survey of
thirty eight parents whose children were admitted to the Royal Childrens
Hospital. Through analysis of data, Presence is found to be less facilitated
through ICT than are Awareness and Connectedness. Although participants
reported that voice call on mobile phones was the most common way of
communication, their ideal was a video-chat application such as Skype, or a
combination of Skype and TV to facilitate feeling of Presence. A strong desire
to use rich media such as video-audio to help them have a greater feeling of
Presence was identified in parents responses to the questionnaire.


title:
Evaluating Electronic Customer Relationship Management Performance: Case
  Studies from Persian Automotive and Computer Industry

abstract:
  This research paper investigates the influence of industry on electronic
customer relationship management (e-CRM) performance. A case study approach
with two cases was applied to evaluate the influence of e-CRM on customer
behavioral and attitudinal loyalty along with customer pyramid. The cases
covered two industries consisting of computer and automotive industries. For
investigating customer behavioral loyalty and customer pyramid companies
database were computed while for examining customer attitudinal loyalty a
survey was conducted. The results show that e-CRM has significantly different
impacts on customer behavioral and attitudinal loyalty and customer pyramid in
two industries. This research provides new approach for organizations to
evaluate their e-CRM performance and compare it with other companies in order
to formulate stronger policies for customer relationship management.


title:
Individual Level Culture Effects on Multi-Perspective iTrust in B2C
  E-commerce

abstract:
  Consumer trust is one of the key obstacles to online vendors seeking to
extend their consumers across cultures. This research identifies culture at the
individual consumer level. Based on the Stimulus-Organism-Response (SOR) model,
this study focuses on the moderating role of uncertainty avoidance culture
value on privacy and security as cognition influences, joy and fear as
emotional influences (Stimuli), and individualism-collectivism on social
networking services as social influence and subsequently on interpersonal trust
(cognitive and affect-based trust) (Organism) towards purchase intention
(Response). Data were collected in Australia and the Partial least squares
(PLS) approach was used to test the research model. The findings confirmed the
moderating role of individual level culture on consumer's cognitive and
affect-based trust in B2Ce-commerce websites with diverse degrees of
uncertainty avoidance and individualism.


title:
Implications of managing health related records and relevant information
  systems within intergovernmental agencies

abstract:
  The implications of intergovernmental agencies may forever change the way in
which governments provide common services within a federated Australia. As
governments seek to reduce duplication and inconsistencies across state and
territory borders, intergovernmental agencies, born out of intergovernmental
agreements, without any link to specific state or territory legislation, are
challenging managers to develop, new approaches to procurement and implement
information systems within this new legal dynamic framework. This paper
considers the implications to managing health related records and their IT
systems, having common legislative obligations across all Australia
jurisdictions, to determine whether these new forms of government allow for the
disposal of information, aimed at saving costs, improving the quality of data
and reduce litigious risk. The paper also investigates the more general
implications for any organisation operating nationally, to data sovereignty and
how legislative ownership of records may predetermine how and where
intergovernmental agencies can manage information assets.


title:
Behavioural Dimensions for Discovering Knowledge Actor Roles Utilising
  Enterprise Social Network Metrics

abstract:
  The identification of distinct user roles is an important theme in social
media research. However, for Enterprise Social Networks (ESN), the use of
social media within organisations, research identifying such roles is still
lacking. Yet, understanding user roles, in particular regarding their knowledge
contributions and communication behaviour, might usefully support companies in
managing critical knowledge resources. Against this backdrop, in this
research-in-progress paper we derive 16 metrics characterising the
participation behaviour, message content and structural position of ESN users
of an Australian professional services firm. Based on a factor analysis, we
identify four distinct dimensions of ESN user behaviour: Contribution &
networking, information provision, contact dispersion and invisible usage. With
this research we contribute to the literature by transferring concepts and
methods of organisation science and social media research to an ESN context.
Further, our approach forms the basis for the identification of different types
of knowledge actors, which might ultimately help to improve organisational
knowledge transparency.


title:
Factors of people-centric security climate: conceptual model and
  exploratory study in Vietnam

abstract:
  There is an increasing focus on the persuasive approach to develop a
people-centric security climate where employees are aware of the priority of
security and perform conscious security behaviour proactively. Employees can
evaluate the priority of security as they observe and interact with the
security features that constitute the security climate of the workplace. We
examined the fundamental challenge that not every employee could recognise
those features. In this multi-stage research, we adopted the theoretical lens
of symbolic interactionism to advance a conceptual model which explains the
relationship between organisation's social networks and the formation of
information security climate. A descriptive case study in Vietnam was then
conducted to refine the proposed model. The findings validated and extended the
dimensions of information security climate, as well as identified the relevant
organisation's social networks (i.e. information, affect, and power) that lead
to its formation.


title:
A Comparative Analysis of MOOC - Australia's Position in the
  International Education Market

abstract:
  Tertiary education is one of the most important industries in Australia and a
crucial source of income for its universities. Therefore, any new form of
tertiary education that may have impact on Australian universities should be
closely watched for implications on their business models. In the past decade,
MOOC-Massive Open Online Courses have emerged with the promise to offer world
class education accessible anywhere and anytime for free or at very reasonable
costs. MOOC not only provide opportunities for lifelong learning, they are also
designed to enrich, compliment and even (partly) substitute classic tertiary
education. Hence, it is of crucial importance how and where Australia takes its
stand in this rapidly evolving market. In this paper, Australia's international
position as a provider of MOOC is analysed and compared, in particular to
Germany and the US.


title:
Supporting 'Good Habits' through User-Led Design of Food Safety
  Applications - Findings from a Survey of Red Meat Consumers

abstract:
  Mitigating consumer health risks and reducing food wastage has stimulated
research into mechanisms for improving consumers' food safety knowledge and
food management practice. Many studies report success, but differences in
methodology and in the type and range of foods and consumers involved has made
comparison and transferability of results challenging. While most studies
advocate for the importance of information in consumer education, few provide
detailed insight into what 'good' information means. Determining appropriate
content, formats, and methods of delivery for different types of consumers as
well as evaluating how different choices impact on consumers' food safety
knowledge and behaviour remains unclear. Within a larger research project on
enhancing provenance, stability and traceability of red meat value chains, this
paper presents findings from a survey of Australian red meat consumers (n=217).
It identifies consumers' food safety issues and reveals information and
communication preferences that may support good safety habits with food.


title:
Breaching the Human Firewall: Social engineering in Phishing and
  Spear-Phishing Emails

abstract:
  We examined the influence of three social engineering strategies on users'
judgments of how safe it is to click on a link in an email. The three
strategies examined were authority, scarcity and social proof, and the emails
were either genuine, phishing or spear-phishing. Of the three strategies, the
use of authority was the most effective strategy in convincing users that a
link in an email was safe. When detecting phishing and spear-phishing emails,
users performed the worst when the emails used the authority principle and
performed best when social proof was present. Overall, users struggled to
distinguish between genuine and spear-phishing emails. Finally, users who were
less impulsive in making decisions generally were less likely to judge a link
as safe in the fraudulent emails. Implications for education and training are
discussed.


title: The Power of Fair Information Practices - A Control Agency Approach

abstract:
  Most companies' new business practices are based on customer data. These
practices have raised privacy concerns because of the associated risks. Privacy
laws require companies to gain customer consent before using their information,
which stands as the biggest roadblock to monetise this asset. Privacy
literature suggests that reducing privacy concerns and building trust may
increase individuals' intention to authorise the use of personal information.
Fair information practices (FIPs) are potential means to achieve this goal.
However, there is lack of empirical evidence on the mechanisms through which
the FIPs affect privacy concerns and trust. This research argues that FIPs load
individuals with control, which has been found to influence privacy concerns
and trust level. We will use an experimental design methodology to conduct the
study. The results are expected to have both theoretical and managerial
implications.


title: Exploring the roles of ICT in supporting sustainability practices

abstract:
  The concern about sustainability has arisen due to the overuse of natural
resources and the increased use of energy consumption over the last decades.
Information communication technologies (ICT) has the potential to address the
three main aspects of sustainability (people, planet, profit) and therefore,
several organizations have initiated a sustainable development by integrating
ICT within their business activities. However, the roles of ICT in supporting
sustainability initiatives have only been discussed in a limited number of
studies and there is a lack of practical examples that demonstrate how the
different roles of ICT are played out in an organization's environment.
Therefore, this research aims to explore how ICT can be used by organizations
to support sustainability initiatives. In particular, in this
research-in-progress paper, we examine how a leading organization deploys
Internet-of-Things as an example of an ICT application to support various
sustainability initiatives. The study findings enhance the current
understanding of how ICT can support sustainability practices of organizations.


title: Information Security Policy: A Management Practice Perspective

abstract:
  Considerable research effort has been devoted to the study of Policy in the
domain of Information Security Management (ISM). However, our review of ISM
literature identified four key deficiencies that reduce the utility of the
guidance to organisations implementing policy management practices. This paper
provides a comprehensive overview of the management practices of information
security policy and develops a practice-based model that addresses the four
aforementioned deficiencies. The model provides comprehensive guidance to
practitioners on the activities security managers must undertake for security
policy development and allows practitioners to benchmark their current practice
with the models suggested best practice. The model contributes to theory by
mapping existing information security policy research in terms of the defined
management practices.


title:
The Role of Translated Information Quality in a Global e-Retailing
  Context

abstract:
  Global e-retailing continues to gain in popularity, but little attention is
being paid to the role of translation. This paper proposes a study
investigating whether improving translated information quality of product
descriptions increases the customers' information satisfaction, while reducing
the perceived product risk, which in turn improves their intention to use an
online shopping website. To manipulate translation quality, two translation
methods are used: machine and crowdsourced. The chosen translation written
language pair is from English to Simplified Chinese, as these are the official
languages of world's two largest economies (U.S.A and China respectively) that
also have large e-tailing markets. A model based on an integration of two
theories, DeLone & McLean's Information Systems Success Model, and Perceived
Risk Theory, has been developed for testing the impact of translated
information quality. The moderating effect of translation method and
e-retailer's brand influencing customers' tolerance of imperfect translation is
also considered.


title:
Developing a Methodology for Online Service Failure Prevention:
  Reporting on an Action Design Research Project-in-Progress

abstract:
  The increasing use of online channels for service delivery raises new
challenges in service failure prevention. This work-in-progress paper reports
on the first phase of an action-design research project to develop a service
failure prevention methodology. In this paper we review the literature on
online services, failure prevention and failure recovery and develop a
theoretical framework for online service failure prevention. This provides the
theoretical grounding for the artefact (the methodology) to be developed. We
use this framework to develop an initial draft of our methodology. We then
outline the remaining phases of the research, and offer some initial
conclusions gained from the project to date.


title:
Evaluating the Business Value of CPOE for Cancer Care in Australia: A
  Resource Based View Perspective

abstract:
  Today, cancer is one of the leading causes of death throughout the world.
This threatening disease has huge negative impacts, not only on quality of
life, but also on the healthcare industry, whose resources are already scarce.
Thus, finding new approaches for cancer care has been a central point of
interest during the last few decades. One of these approaches is the use of
computerised physician order entry (CPOE) systems. This systems have the
potential to provide more effective and efficient patient-centric cancer care.
This paper serves to examine the business value of an American CPOE in an
Australian context. This is achieved by using our specifically designed tool to
evaluate the business value of IT in the healthcare, in combination with a
resource based view perspective. Our results show that the system has a number
of enabling resources to generate business value subject to having other
resources.


title: The Effect of ICT Self-Discipline in the Workplace

abstract:
  The ubiquity of Information and Communication Technologies (ICTs) in work
settings has changed the way employees behave. ICTs such as smartphones, email
and social media makes employees more connected than has ever been possible.
The degree of ICT connectivity can create a positive as well as a negative
impact on employees' productivity. In this context, the notion of ICT
self-discipline - an individual's ability to control their behaviours towards
ICTs - becomes pivotal in the process of managing ICT connectivity. This
follow-on study reports the results of an online survey of 443 to New Zealand
professionals regarding the influence of ICT self-discipline on the
relationship between ICT connectivity and employee productivity. Findings
indicated that the impact of ICT self-discipline varies depending on the
organisation and industry an employee works in. Insights and recommendations
for future research are shared in this paper. Findings from this study
contribute to IS research and practice.


title: Truncated Calogero-Sutherland models

abstract:
  A one-dimensional quantum many-body system consisting of particles confined
in a harmonic potential and subject to finite-range two-body and three-body
inverse-square interactions is introduced. The range of the interactions is set
by truncation beyond a number of neighbors and can be tuned to interpolate
between the Calogero-Sutherland model and a system with nearest and
next-nearest neighbors interactions discussed by Jain and Khare. The model also
includes the Tonks-Girardeau gas describing impenetrable bosons as well as a
novel extension with truncated interactions. While the ground state
wavefunction takes a truncated Bijl-Jastrow form, collective modes of the
system are found in terms of multivariable symmetric polynomials. We
numerically compute the density profile, one-body reduced density matrix, and
momentum distribution of the ground state as a function of the range $r$ and
the interaction strength.

categories: quant-ph cond-mat.quant-gas hep-th math-ph math.MP


title:
Analytical solutions in rotating linear dilaton black holes: resonant
  frequencies, quantization, greybody factor, and Hawking radiation

abstract:
  Charged massive scalar fields are studied in the gravitational,
electromagnetic, dilaton, and axion fields of rotating linear dilaton black
holes. In this geometry, we separate the covariant Klein-Gordon equation into
radial and angular parts and obtain the exact solutions of both the equations
in terms of the confluent Heun functions. Using the radial solution, we study
the problems of resonant frequencies, entropy/area quantization, and greybody
factor. We also analyze the behavior of the wave solutions near the event
horizon of the rotating linear dilaton black hole and derive its Hawking
temperature via the Damour-Ruffini-Sannan method.


title: Multi-Organ Cancer Classification and Survival Analysis

abstract:
  Accurate and robust cell nuclei classification is the cornerstone for a wider
range of tasks in digital and Computational Pathology. However, most machine
learning systems require extensive labeling from expert pathologists for each
individual problem at hand, with no or limited abilities for knowledge transfer
between datasets and organ sites. In this paper we implement and evaluate a
variety of deep neural network models and model ensembles for nuclei
classification in renal cell cancer (RCC) and prostate cancer (PCa). We propose
a convolutional neural network system based on residual learning which
significantly improves over the state-of-the-art in cell nuclei classification.
Finally, we show that the combination of tissue types during training increases
not only classification accuracy but also overall survival analysis.


title:
Factoring Polynomials over Finite Fields using Drinfeld Modules with
  Complex Multiplication

abstract:
  We present novel algorithms to factor polynomials over a finite field $\F_q$
of odd characteristic using rank $2$ Drinfeld modules with complex
multiplication. The main idea is to compute a lift of the Hasse invariant
(modulo the polynomial $f(x) \in \F_q[x]$ to be factored) with respect to a
Drinfeld module $\phi$ with complex multiplication. Factors of $f(x)$ supported
on prime ideals with supersingular reduction at $\phi$ have vanishing Hasse
invariant and can be separated from the rest. A Drinfeld module analogue of
Deligne's congruence plays a key role in computing the Hasse invariant lift. We
present two algorithms based on this idea. The first algorithm chooses Drinfeld
modules with complex multiplication at random and has a quadratic expected run
time. The second is a deterministic algorithm with $O(\sqrt{p})$ run time
dependence on the characteristic $p$ of $\F_q$.


title:
Pairing of particle-hole symmetric composite fermions in half-filled
  Landau level

abstract:
  In a recent proposal of the half-filled Landau level, the composite fermions
are taken to be Dirac particles and particle-hole symmetric. Cooper pairing of
these composite fermions in different angular momentum channels, $\ell$, can
give rise to different kinds of Pfaffian states. In addition to the well known
Moore-Read Pfaffian and anti-Pfaffian states, a new putative particle-hole
symmetric Pfaffian state, corresponding to the $s-$wave pairing channel, was
also proposed. However, the possible underlying pairing mechanism is not clear
at all. In this work we provide a specific pairing mechanism for realizing some
of these Pfaffian states. We show that there can be nonzero pairing in angular
momentum channels $|\ell|\ge 1$ depending on the magnitude of a coupling
constant. There is a quantum phase transition from the Dirac composite fermi
liquid state to Cooper pairing states in angular momentum channels $|\ell|\ge
1$ as the coupling constant is tuned across its critical point value.
Surprisingly the particle-hole symmetric $\ell=0$ channel pairing turns out to
be impossible irrespective of the size of the coupling constant.


title: Some new computable structures of high rank

abstract:
  We give several new examples of computable structures of high Scott rank. For
earlier known computable structures of Scott rank $\omega_1^{CK}$, the
computable infinitary theory is $\aleph_0$-categorical. Millar and Sacks asked
whether this was always the case. We answer this question by constructing an
example whose computable infinitary theory has non-isomorphic countable models.
  The standard known computable structures of Scott rank $\omega_1^{CK}+1$ have
infinite indiscernible sequences. We give two constructions with no
indiscernible ordered triple.


title:
Sparse Signal Recovery using Generalized Approximate Message Passing
  with Built-in Parameter Estimation

abstract:
  The generalized approximate message passing (GAMP) algorithm under the
Bayesian setting shows advantage in recovering under-sampled sparse signals
from corrupted observations. Compared to conventional convex optimization
methods, it has a much lower complexity and is computationally tractable. In
the GAMP framework, the sparse signal and the observation are viewed to be
generated according to some pre-specified probability distributions in the
input and output channels. However, the parameters of the distributions are
usually unknown in practice. In this paper, we propose an extended GAMP
algorithm with built-in parameter estimation (PE-GAMP) and present its
empirical convergence analysis. PE-GAMP treats the parameters as unknown random
variables with simple priors and jointly estimates them with the sparse
signals. Compared with Expectation Maximization (EM) based parameter estimation
methods, the proposed PE-GAMP could draw information from the prior
distributions of the parameters to perform parameter estimation. It is also
more robust and much simpler, which enables us to consider more complex signal
distributions apart from the usual Bernoulli-Gaussian (BGm) mixture
distribution. Specifically, the formulations of Bernoulli-Exponential mixture
(BEm) distribution and Laplace distribution are given in this paper. Simulated
noiseless sparse signal recovery experiments demonstrate that the performance
of the proposed PE-GAMP matches the oracle GAMP algorithm. When noise is
present, both the simulated experiments and the real image recovery experiments
show that PE-GAMP is still able to maintain its robustness and outperform EM
based parameter estimation method when the sampling ratio is small.
Additionally, using the BEm formulation of the PE-GAMP, we can successfully
perform non-negative sparse coding of local image patches and provide useful
features for the image classification task.


title: On the Time Dependence of Adiabatic Particle Number

abstract:
  We consider quantum field theoretic systems subject to a time-dependent
perturbation, and discuss the question of defining a time dependent particle
number not just at asymptotic early and late times, but also during the
perturbation. Naively, this is not a well-defined notion for such a
non-equilibrium process, as the particle number at intermediate times depends
on a basis choice of reference states with respect to which particles and
anti-particles are defined, even though the final late-time particle number is
independent of this basis choice. The basis choice is associated with a
particular truncation of the adiabatic expansion. The adiabatic expansion is
divergent, and we show that if this divergent expansion is truncated at its
optimal order, a universal time dependence is obtained, confirming a general
result of Dingle and Berry. This optimally truncated particle number provides a
clear picture of quantum interference effects for perturbations with
non-trivial temporal sub-structure. We illustrate these results using several
equivalent definitions of adiabatic particle number: the Bogoliubov, Riccati,
Spectral Function and Schrodinger picture approaches. In each approach, the
particle number may be expressed in terms of the tiny deviations between the
exact and adiabatic solutions of the Ermakov-Milne equation for the associated
time-dependent oscillators.


title: On similarity of jet quenching and charmonia suppression

abstract:
  We quantify the magnitude of the parton energy loss in jets in lead-lead
collisions at the LHC. We extract the effective color factor characterizing the
difference between the in-medium radiation of quark-initiated jets and
gluon-initiated jets from the data. Then, we examine the energy loss of prompt
charmonia and we point to a remarkable similarity between the quenching of
light-quark-initiated jets and the prompt charmonia suppression. Finally, we
discuss possible sources of this similarity.


title:
Bicollinear Antiferromagnetic Order, Monoclinic Distortion, and Reversed
  Resistivity Anisotropy in FeTe as a Result of Spin-Lattice Coupling

abstract:
  The bicollinear antiferromagnetic order experimentally observed in FeTe is
shown to be stabilized by the coupling $\tilde g_{12}$ between monoclinic
lattice distortions and the spin-nematic order parameter with $B_{\rm 2g}$
symmetry, within a three-orbital spin-fermion model studied with Monte Carlo
techniques. A finite but small value of $\tilde g_{12}$ is required, with a
concomitant lattice distortion compatible with experiments, and a
tetragonal-monoclinic transition strongly first order. Remarkably, the
bicollinear state found here displays a planar resistivity with the "reversed"
puzzling anisotropy discovered in transport experiments.Orthorhombic
distortions are also incorporated and phase diagrams interpolating between
pnictides and chalcogenides are presented. We conclude that the spin-lattice
coupling discussed here is sufficient to explain the challenging properties of
FeTe.


title:
Odd-frequency superconductivity induced in topological insulators with
  and without hexagonal warping

abstract:
  We study the effect of the Fermi surface anisotropy on the odd-frequency
spin-triplet pairing component of the induced pair potential. We consider a
superconductor/ ferromagnetic insulator (S/FI) hybrid structure formed on the
3D topological insulator (TI) surface. In this case three ingredients insure
the possibility of the odd-frequency pairing: 1) the topological surface
states, 2) the induced pair potential, and 3) the magnetic moment of a nearby
ferromagnetic insulator. We take into account the strong anisotropy of the
Dirac cone in topological insulators when the chemical potential lies well
above the Dirac cone and its constant energy contour has a snowflake shape.
Within this model, we propose that the S/FI boundary should be properly aligned
with respect to the snowflake constant energy contour to have an odd-frequency
symmetry of the corresponding pairing component and to insure the Majorana
bound state at the S/FI boundary. For arbitrary orientation of the boundary the
Majorana bound state is absent. This provides a selection rule to the
realization of Majorana modes in S/FI hybrid structures, formed on the
topological insulator surface.


title: Nonlinear Statistical Learning with Truncated Gaussian Graphical Models

abstract:
  We introduce the truncated Gaussian graphical model (TGGM) as a novel
framework for designing statistical models for nonlinear learning. A TGGM is a
Gaussian graphical model (GGM) with a subset of variables truncated to be
nonnegative. The truncated variables are assumed latent and integrated out to
induce a marginal model. We show that the variables in the marginal model are
non-Gaussian distributed and their expected relations are nonlinear. We use
expectation-maximization to break the inference of the nonlinear model into a
sequence of TGGM inference problems, each of which is efficiently solved by
using the properties and numerical methods of multivariate Gaussian
distributions. We use the TGGM to design models for nonlinear regression and
classification, with the performances of these models demonstrated on extensive
benchmark datasets and compared to state-of-the-art competing results.


title: A Bifurcation Monte Carlo Scheme for Rare Event Simulation

abstract:
  The bifurcation method is a way to do rare event sampling -- to estimate the
probability of events that are too rare to be found by direct simulation. We
describe the bifurcation method and use it to estimate the transition rate of a
double well potential problem. We show that the associated constrained path
sampling problem can be addressed by a combination of Crooks-Chandler sampling
and parallel tempering and marginalization.


title: A/B Testing of Auctions

abstract:
  For many application areas A/B testing, which partitions users of a system
into an A (control) and B (treatment) group to experiment between several
application designs, enables Internet companies to optimize their services to
the behavioral patterns of their users. Unfortunately, the A/B testing
framework cannot be applied in a straightforward manner to applications like
auctions where the users (a.k.a., bidders) submit bids before the partitioning
into the A and B groups is made. This paper combines auction theoretic modeling
with the A/B testing framework to develop methodology for A/B testing auctions.
The accuracy of our method %, assuming the auction is directly comparable to
ideal A/B testing where there is no interference between A and B. Our results
are based on an extension and improved analysis of the inference method of
Chawla et al. (2014).


title:
Diameter of weak neighborhoods and the Radon-Nikodym property in
  Orlicz-Lorentz spaces

abstract:
  Given an Orlicz $N$-function $\varphi$ and a positive decreasing weight $w$,
we present criteria of the diameter two property and of the Radon-Nikod\'ym
property in Orlicz-Lorentz function and sequence spaces $\Lambda_{\varphi,w}$
and $\lambda_{\varphi,w}$. We show that in the spaces $\Lambda_{\varphi,w}$ or
$\lambda_{\varphi,w}$ equipped with the Luxemburg norm, the diameter of any
relatively weakly subset of the unit ball in these spaces is two if and only if
$\varphi$ does not satisfy the appropriate $\Delta_2$ condition, while they
have the Radon-Nikod\'ym property if and only if $\varphi$ satisfies the
appropriate $\Delta_2$ condition.


title: Gravity's rainbow: a bridge between LQC and DSR

abstract:
  The doubly special relativity (DSR) theories are investigated in order to
take into account an observer-independent length scale in special relativity
framework. It is widely believed that any quantum theory of gravity would
reduce to a DSR model at the flat limit when purely gravitational and quantum
mechanical effects are negligible. Gravity's rainbow is a simple generalization
of DSR theories to incorporate gravity. In this paper, we show that the
effective Friedmann equations that are suggested by loop quantum cosmology
(LQC) can be exactly reobtained in rainbow cosmology setup. The deformed
geometry of LQC then completely fixes the modified dispersion relation and
results in unique DSR model. In comparison with standard LQC scenario where
only the geometry is modified, both of the geometry and matter parts get
modifications in our setup. In this respect, we find that the total number of
microstates for the universe is finite which suggests the statistical origin
for the energy and entropy density bounds. These results explicitly show that
the DSR theories are appropriate candidates for the flat limit of loop quantum
gravity.


title:
Distributed Cooperative Decision-Making in Multiarmed Bandits:
  Frequentist and Bayesian Algorithms

abstract:
  We study distributed cooperative decision-making under the explore-exploit
tradeoff in the multiarmed bandit (MAB) problem. We extend the state-of-the-art
frequentist and Bayesian algorithms for single-agent MAB problems to
cooperative distributed algorithms for multi-agent MAB problems in which agents
communicate according to a fixed network graph. We rely on a running consensus
algorithm for each agent's estimation of mean rewards from its own rewards and
the estimated rewards of its neighbors. We prove the performance of these
algorithms and show that they asymptotically recover the performance of a
centralized agent. Further, we rigorously characterize the influence of the
communication graph structure on the decision-making performance of the group.


title:
Ultracold Bosons with cavity-mediated long-range interactions: A local
  mean field analysis of the phase diagram

abstract:
  Ultracold bosonic atoms in optical lattices self-organize into a variety of
structural and quantum phases when placed into a single-mode cavity and pumped
by a laser. Cavity optomechanical effects induce an atom density modulation at
the cavity-mode wave length that competes with the optical lattice arrangement.
Simultaneously short-range interactions via particle hopping promote superfluid
order, such that a variety of structural and quantum coherent phases can occur.
We analyze the emerging phase diagram in two dimensions by means of an extended
Bose-Hubbard model using a local mean field approach combined with a superfluid
cluster analysis. For commensurate ratios of the cavity and external lattice
wave lengths the Mott insulator-superfluid transition is modified by the
appearance of charge density wave and supersolid phases, at which the atomic
density supports the buildup of a cavity field. For incommensurate ratios, the
optomechanical forces induce the formation of Bose-glass and superglass phases,
namely non-superfluid and superfluid phases, respectively, displaying
quasi-periodic density modulations, which in addition can exhibit structural
and superfluid stripe formation. The onset of such structures is constrained by
the onsite interaction and is favourable at fractional densities. Experimental
observables are identified and discussed.


title:
A Single-Level Tunnel Model to Account for Electrical Transport through
  Single Molecule- and Self-Assembled Monolayer-based Junctions

abstract:
  We present a theoretical analysis aimed at understanding electrical
conduction in molecular tunnel junctions. We focus on discussing the validity
of coherent versus incoherent theoretical formulations for single-level
tunneling to explain experimental results obtained under a wide range of
experimental conditions, including measurements in individual molecules
connecting the leads of electromigrated single-electron transistors and
junctions of self-assembled monolayers (SAM) of molecules sandwiched between
two macroscopic contacts. We show that the restriction of transport through a
single level in solid state junctions (no solvent) makes coherent and
incoherent tunneling formalisms indistinguishable when only one level
participates in transport. Similar to Marcus relaxation processes in wet
electrochemistry, the thermal broadening of the Fermi distribution describing
the electronic occupation energies in the electrodes accounts for the
exponential dependence of the tunneling current on temperature. We demonstrate
that a single-level tunnel model satisfactorily explains experimental results
obtained in three different molecular junctions (both single-molecule and
SAM-based) formed by ferrocene-based molecules. Among other things, we use the
model to map the electrostatic potential profile in EGaIn-based SAM junctions
in which the ferrocene unit is placed at different positions within the
molecule, and we find that electrical screening gives rise to a strongly
non-linear profile across the junction.


title: A Harder-Narasimhan theory for Kisin modules

abstract:
  We develop a Harder-Narasimhan theory for Kisin modules generalizing a
similar theory for finite flat group schemes due to Fargues. We prove the
tensor product theorem, i.e., that the tensor product of semi-stable objects is
again semi-stable. We then apply the tensor product theorem to the study of
Kisin varieties for arbitrary connected reductive groups.


title:
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs

abstract:
  In this work we address the task of semantic image segmentation with Deep
Learning and make three main contributions that are experimentally shown to
have substantial practical merit. First, we highlight convolution with
upsampled filters, or 'atrous convolution', as a powerful tool in dense
prediction tasks. Atrous convolution allows us to explicitly control the
resolution at which feature responses are computed within Deep Convolutional
Neural Networks. It also allows us to effectively enlarge the field of view of
filters to incorporate larger context without increasing the number of
parameters or the amount of computation. Second, we propose atrous spatial
pyramid pooling (ASPP) to robustly segment objects at multiple scales. ASPP
probes an incoming convolutional feature layer with filters at multiple
sampling rates and effective fields-of-views, thus capturing objects as well as
image context at multiple scales. Third, we improve the localization of object
boundaries by combining methods from DCNNs and probabilistic graphical models.
The commonly deployed combination of max-pooling and downsampling in DCNNs
achieves invariance but has a toll on localization accuracy. We overcome this
by combining the responses at the final DCNN layer with a fully connected
Conditional Random Field (CRF), which is shown both qualitatively and
quantitatively to improve localization performance. Our proposed "DeepLab"
system sets the new state-of-art at the PASCAL VOC-2012 semantic image
segmentation task, reaching 79.7% mIOU in the test set, and advances the
results on three other datasets: PASCAL-Context, PASCAL-Person-Part, and
Cityscapes. All of our code is made publicly available online.


title: Rare $B$ Decays as Tests of the Standard Model

abstract:
  One of the most interesting puzzles in particle physics today is that new
physics is expected at the TeV energy scale to solve the hierarchy problem, and
stabilise the Higgs mass, but so far no unambiguous signal of new physics has
been found. Strong constraints on the energy scale of new physics can be
derived from precision tests of the electroweak theory and from
flavour-changing or CP-violating processes in strange, charm and beauty hadron
decays. Decays that proceed via flavour-changing-neutral-current processes are
forbidden at the lowest perturbative order in the Standard Model and are,
therefore, rare. Rare $b$ hadron decays are playing a central role in the
understanding of the underlying patterns of Standard Model physics and in
setting up new directions in model building for new physics contributions. In
this article the status and prospects of this field are reviewed.


title: Towards a Job Title Classification System

abstract:
  Document classification for text, images and other applicable entities has
long been a focus of research in academia and also finds application in many
industrial settings. Amidst a plethora of approaches to solve such problems,
machine-learning techniques have found success in a variety of scenarios. In
this paper we discuss the design of a machine learning-based semi-supervised
job title classification system for the online job recruitment domain currently
in production at CareerBuilder.com and propose enhancements to it. The system
leverages a varied collection of classification as well clustering algorithms.
These algorithms are encompassed in an architecture that facilitates leveraging
existing off-the-shelf machine learning tools and techniques while keeping into
consideration the challenges of constructing a scalable classification system
for a large taxonomy of categories. As a continuously evolving system that is
still under development we first discuss the existing semi-supervised
classification system which is composed of both clustering and classification
components in a proximity-based classifier setup and results of which are
already used across numerous products at CareerBuilder. We then elucidate our
long-term goals for job title classification and propose enhancements to the
existing system in the form of a two-stage coarse and fine level classifier
augmentation to construct a cascade of hierarchical vertical classifiers.
Preliminary results are presented using experimental evaluation on real world
industrial data.


title:
Finite temperature scaling close to Ising-nematic quantum critical
  points in two-dimensional metals

abstract:
  We study finite temperature properties of metals close to an Ising-nematic
quantum critical point in two spatial dimensions. In particular we show that at
any finite temperature there is a regime where order parameter fluctuations are
characterized by a dynamical critical exponent $z=2$, in contrast to $z=3$
found at zero temperature. Our results are based on a simple Eliashberg-type
approach, which gives rise to a boson self-energy proportional to
$\Omega/\gamma(T)$ at small momenta, where $\gamma(T)$ is the temperature
dependent fermion scattering rate. These findings might shed some light on
recent Monte-Carlo simulations at finite temperature, where results consistent
with $z=2$ were found.


title: Global warming: Temperature estimation in annealers

abstract:
  Sampling from a Boltzmann distribution is NP-hard and so requires heuristic
approaches. Quantum annealing is one promising candidate. The failure of
annealing dynamics to equilibrate on practical time scales is a well understood
limitation, but does not always prevent a heuristically useful distribution
from being generated. In this paper we evaluate several methods for determining
a useful operational temperature range for annealers. We show that, even where
distributions deviate from the Boltzmann distribution due to ergodicity
breaking, these estimates can be useful. We introduce the concepts of local and
global temperatures that are captured by different estimation methods. We argue
that for practical application it often makes sense to analyze annealers that
are subject to post-processing in order to isolate the macroscopic distribution
deviations that are a practical barrier to their application.


title: High Order Path Integrals Made Easy

abstract:
  The precise description of quantum nuclear fluctuations in atomistic
modelling is possible by employing path integral techniques, which involve a
considerable computational overhead due to the need of simulating multiple
replicas of the system. Many approaches have been suggested to reduce the
required number of replicas. Among these, high-order factorizations of the
Boltzmann operator are particularly attractive for high-precision and
low-temperature scenarios. Unfortunately, to date several technical challenges
have prevented a widespread use of these approaches to study nuclear quantum
effects in condensed-phase systems. Here we introduce an inexpensive molecular
dynamics scheme that overcomes these limitations, thus making it possible to
exploit the improved convergence of high-order path integrals without having to
sacrifice the stability, convenience and flexibility of conventional
second-order techniques. The capabilities of the method are demonstrated by
simulations of liquid water and ice, as described by a neural-network potential
fitted to dispersion-corrected hybrid density functional theory calculations.


title: Bayesian Network--Response Regression

abstract:
  There is increasing interest in learning how human brain networks vary as a
function of a continuous trait, but flexible and efficient procedures to
accomplish this goal are limited. We develop a Bayesian semiparametric model,
which combines low-rank factorizations and flexible Gaussian process priors to
learn changes in the conditional expectation of a network-valued random
variable across the values of a continuous predictor, while including
subject-specific random effects. The formulation leads to a general framework
for inference on changes in brain network structures across human traits,
facilitating borrowing of information and coherently characterizing
uncertainty. We provide an efficient Gibbs sampler for posterior computation
along with simple procedures for inference, prediction and goodness-of-fit
assessments. The model is applied to learn how human brain networks vary across
individuals with different intelligence scores. Results provide interesting
insights on the association between intelligence and brain connectivity, while
demonstrating good predictive performance.


title: Localization of VC Classes: Beyond Local Rademacher Complexities

abstract:
  In this paper we introduce an alternative localization approach for binary
classification that leads to a novel complexity measure: fixed points of the
local empirical entropy. We show that this complexity measure gives a tight
control over complexity in the upper bounds. Our results are accompanied by a
novel minimax lower bound that involves the same quantity. In particular, we
practically answer the question of optimality of ERM under bounded noise for
general VC classes.


title: GUTzilla Dark Matter

abstract:
  Motivated by gauge coupling unification and dark matter, we present an
extension to the Standard Model where both are achieved by adding an extra new
matter multiplet. Such considerations lead to a Grand Unified Theory with very
heavy WIMPzilla dark matter, which has mass greater than ~10^7 GeV and must be
produced before reheating ends. Naturally, we refer to this scenario as
GUTzilla dark matter. Here we present a minimal GUTzilla model, adding a
vector-like quark multiplet to the Standard Model. Proton decay constraints
require the new multiplet to be both color and electroweak charged, which
prompts us to include a new confining SU(3) gauge group that binds the
multiplet into a neutral composite dark matter candidate. Current direct
detection constraints are evaded due to the large dark matter mass; meanwhile,
next-generation direct detection and proton decay experiments will probe much
of the parameter space. The relic abundance is strongly dependent on the
dynamics of the hidden confining sector, and we show that dark matter
production during the epoch of reheating can give the right abundance.


title: On isospectral deformations of an inhomogeneous string

abstract:
  In this paper we consider a class of isospectral deformations of the
inhomogeneous string boundary value problem. The deformations considered are
generalizations of the isospectral deformation that has arisen in connection
with the Camassa-Holm equation for the shallow water waves. It is proved that
these new isospectral deformations result in evolution equations on the mass
density whose form depends on how the string is tied at the endpoints.
Moreover, it is shown that the evolution equations in this class linearize on
the spectral side and hence can be solved by the inverse spectral method. In
particular, the problem involving a mass density given by a discrete finite
measure and arbitrary boundary conditions is shown to be solvable by Stieltjes'
continued fractions.


title: Convolutional Imputation of Matrix Networks

abstract:
  A matrix network is a family of matrices, with relatedness modeled by a
weighted graph. We consider the task of completing a partially observed matrix
network. We assume a novel sampling scheme where a fraction of matrices might
be completely unobserved. How can we recover the entire matrix network from
incomplete observations? This mathematical problem arises in many applications
including medical imaging and social networks.
  To recover the matrix network, we propose a structural assumption that the
matrices have a graph Fourier transform which is low-rank. We formulate a
convex optimization problem and prove an exact recovery guarantee for the
optimization problem. Furthermore, we numerically characterize the exact
recovery regime for varying rank and sampling rate and discover a new phase
transition phenomenon. Then we give an iterative imputation algorithm to
efficiently solve the optimization problem and complete large scale matrix
networks. We demonstrate the algorithm with a variety of applications such as
MRI and Facebook user network.


title:
Modulated heat pulse propagation and partial transport barriers in
  chaotic magnetic fields

abstract:
  Direct numerical simulations of the time dependent parallel heat transport
equation modeling heat pulses driven by power modulation in 3-dimensional
chaotic magnetic fields are presented. The numerical method is based on the
Fourier formulation of a Lagrangian-Green's function method that provides an
accurate and efficient technique for the solution of the parallel heat
transport equation in the presence of harmonic power modulation. The numerical
results presented provide conclusive evidence that even in the absence of
magnetic flux surfaces, chaotic magnetic field configurations with intermediate
levels of stochasticity exhibit transport barriers to modulated heat pulse
propagation. In particular, high-order islands and remnants of destroyed flux
surfaces (Cantori) act as partial barriers that slow down or even stop the
propagation of heat waves at places where the magnetic field connection length
exhibits a strong gradient. Results on modulated heat pulse propagation in
fully stochastic fields and across magnetic islands are also presented. In
qualitative agreement with recent experiments in LHD and DIII-D, it is shown
that the elliptic (O) and hyperbolic (X) points of magnetic islands have a
direct impact on the spatio-temporal dependence of the amplitude of modulated
heat pulses.


title:
An interactive fuzzy goal programming algorithm to solve decentralized
  bi-level multiobjective fractional programming problem

abstract:
  This paper proposes a fuzzy goal programming based on Taylor series for
solving decentralized bi-level multiobjective fractional programming (DBLMOFP)
problem. In the proposed approach, all of the membership functions are
associated with the fuzzy goals of each objective at the both levels and also
the fractional membership functions are converted to linear functions using the
Taylor series approach. Then a fuzzy goal programming is proposed to reach the
highest degree of each of the membership goals by taking the most satisfactory
solution for all decision makers at the both levels. Finally, a numerical
example is presented to illustrate the effectiveness of the proposed approach.


title:
Design of artificial genetic regulatory networks with multiple delayed
  adaptive responses

abstract:
  Genetic regulatory networks with adaptive responses are widely studied in
biology. Usually, models consisting only of a few nodes have been considered.
They present one input receptor for activation and one output node where the
adaptive response is computed. In this work, we design genetic regulatory
networks with many receptors and many output nodes able to produce delayed
adaptive responses. This design is performed by using an evolutionary algorithm
of mutations and selections that minimizes an error function defined by the
adaptive response in signal shapes. We present several examples of network
constructions with a predefined required set of adaptive delayed responses. We
show that an output node can have different kinds of responses as a function of
the activated receptor. Additionally, complex network structures are presented
since processing nodes can be involved in several input-output pathways.


title:
Neutron lifetime measurements and effective spectral cleaning with an
  ultracold neutron trap using a vertical Halbach octupole permanent magnet
  array

abstract:
  Ultracold neutron (UCN) storage measurements were made in a trap constructed
from a 1.3 T Halbach Octupole PErmanent (HOPE) magnet array aligned vertically,
using the TES-port of the PF2 source at the Institut Laue-Langevin. A
mechanical UCN valve at the bottom of the trap was used for filling and
emptying. This valve was covered with Fomblin grease to induce non-specular
reflections and was used in combination with a movable polyethylene UCN remover
inserted from the top for cleaning of above-threshold UCNs. Loss due to UCN
depolarization was suppressed with a minimum 2 mT bias field. Without using the
UCN remover, a total storage time constant of $(712 \pm 19)$ s was observed;
with the remover inserted for 80 s and used at either 80 cm or 65 cm from the
bottom of the trap, time constants of $(824 \pm 32)$ s and $(835 \pm 36)$ s
were observed. Combining the latter two values, a neutron lifetime of
$\tau_{\rm n} = (887 \pm 39)$ s is extracted after primarily correcting for
losses at the UCN valve. The time constants of the UCN population during
cleaning were observed and compared to calculations based on UCN kinetic theory
as well as Monte-Carlo studies. These calculations are used to predict
above-threshold populations of $\sim 5\%$, $\sim 0.5\%$ and $\sim 10^{-12}\%$
remaining after cleaning in the no remover, 80~cm remover and 65~cm remover
measurements. Thus, by using a non-specular reflector covering the entire
bottom of the trap and a remover at the top of the trap, we have established an
effective cleaning procedure for removing a major systematic effect in
high-precision $\tau_{\rm n}$ experiments with magnetically stored UCNs.


title:
Comparison of 14 different families of classification algorithms on 115
  binary datasets

abstract:
  We tested 14 very different classification algorithms (random forest,
gradient boosting machines, SVM - linear, polynomial, and RBF - 1-hidden-layer
neural nets, extreme learning machines, k-nearest neighbors and a bagging of
knn, naive Bayes, learning vector quantization, elastic net logistic
regression, sparse linear discriminant analysis, and a boosting of linear
classifiers) on 115 real life binary datasets. We followed the Demsar analysis
and found that the three best classifiers (random forest, gbm and RBF SVM) are
not significantly different from each other. We also discuss that a change of
less then 0.0112 in the error rate should be considered as an irrelevant
change, and used a Bayesian ANOVA analysis to conclude that with high
probability the differences between these three classifiers is not of practical
consequence. We also verified the execution time of "standard implementations"
of these algorithms and concluded that RBF SVM is the fastest (significantly
so) both in training time and in training plus testing time.


title:
DeepSurv: Personalized Treatment Recommender System Using A Cox
  Proportional Hazards Deep Neural Network

abstract:
  Medical practitioners use survival models to explore and understand the
relationships between patients' covariates (e.g. clinical and genetic features)
and the effectiveness of various treatment options. Standard survival models
like the linear Cox proportional hazards model require extensive feature
engineering or prior medical knowledge to model treatment interaction at an
individual level. While nonlinear survival methods, such as neural networks and
survival forests, can inherently model these high-level interaction terms, they
have yet to be shown as effective treatment recommender systems. We introduce
DeepSurv, a Cox proportional hazards deep neural network and state-of-the-art
survival method for modeling interactions between a patient's covariates and
treatment effectiveness in order to provide personalized treatment
recommendations. We perform a number of experiments training DeepSurv on
simulated and real survival data. We demonstrate that DeepSurv performs as well
as or better than other state-of-the-art survival models and validate that
DeepSurv successfully models increasingly complex relationships between a
patient's covariates and their risk of failure. We then show how DeepSurv
models the relationship between a patient's features and effectiveness of
different treatment options to show how DeepSurv can be used to provide
individual treatment recommendations. Finally, we train DeepSurv on real
clinical studies to demonstrate how it's personalized treatment recommendations
would increase the survival time of a set of patients. The predictive and
modeling capabilities of DeepSurv will enable medical researchers to use deep
neural networks as a tool in their exploration, understanding, and prediction
of the effects of a patient's characteristics on their risk of failure.


title:
Bending and Gaussian rigidities of confined soft spheres from
  second-order virial series

abstract:
  We use virial series to study the equilibrium properties of confined
soft-spheres fluids interacting through the inverse-power potentials. The
confinement is induced by hard walls with planar, spherical and cylindrical
shapes. We evaluate analytically the coefficients of order two in density of
the wall-fluid surface tension $\gamma$ and analyze the curvature contributions
to the free energy. Emphasis is in bending and Gaussian rigidities, which are
found analytically at order two in density. Their contribution to $\gamma(R)$
and the accuracy of different truncation procedures to the low curvature
expansion are discussed. Finally, several universal relations that apply to
low-density fluids are analyzed.


title: Multipair Massive MIMO Relaying with Pilot-Data Transmission Overlay

abstract:
  We propose a pilot-data transmission overlay scheme for multipair massive
multiple-input multiple-output (MIMO) relaying systems employing either half-
or full-duplex (HD or FD) communications at the relay station (RS). In the
proposed scheme, pilots are transmitted in partial overlap with data to
decrease the channel estimation overhead. The RS can detect the source data
with minimal destination pilot interference by exploiting the asymptotic
orthogonality of massive MIMO channels. Then pilot-data interference can be
effectively suppressed with assistance of the detected source data in the
destination channel estimation. Due to the transmission overlay, the effective
data period is extended, hence improving system throughput. Both theoretical
and simulation results confirm that the proposed pilot-data overlay scheme
outperforms the conventional separate pilot-data design in the limited
coherence time interval scenario. Moreover, asymptotic analyses at high and low
SNR regions demonstrate the superiority of the proposed scheme regardless of
the coherence interval length. Because of simultaneous transmission, the proper
allocation of source data transmission and relay data forwarding power can
further improve the system performance. Hence a power allocation problem is
formulated and a successive convex approximation approach is proposed to solve
the non-convex optimization problem with the FD pilot-data transmission
overlay.


title:
A new ignition hohlraum design for indirect-drive inertial confinement
  fusion

abstract:
  In this paper, a six-cylinder-port hohlraum is proposed to provide high
symmetry flux on capsule. It is designed to ignite a capsule with 1.2 mm radius
in indirect-drive inertial confinement fusion (ICF) . Flux symmetry and laser
energy are calculated by using three dimensional view factor method and laser
energy balance in hohlraums. Plasma conditions are analyzed based on the two
dimensional radiation-hydrodynamic simulations. There is no Ylm (l<=4)
asymmetry in the six-cylinder-port hohlraum when the influences of laser
entrance holes (LEHs) and laser spots cancel each other out with suitable
target parameters. A radiation drive with 300 eV and good flux symmetry can be
achieved with use of laser energy of 2.3 MJ and 500 TW peak power. According to
the simulations, the electron temperature and the electron density on the wall
of laser cone are high and low, respectively, which are similar to those of
outer cones in the hohlraums on National Ignition Facility (NIF). And the laser
intensity is also as low as those of NIF outer cones. So the backscattering due
to laser plasma interaction (LPI) is considered to be negligible. The
six-cyliner-port hohlraum could be superior to the traditional cylindrical
hohlraum and the octahedral hohlraum in both higher symmetry and lower
backscattering without supplementary technology at acceptable laser energy. It
is undoubted that the hohlraum will add to the diversity of ICF approaches.


title: Symbolic powers of codimension two Cohen-Macaulay ideals

abstract:
  Let $I_X$ be the saturated homogeneous ideal defining a codimension two
arithmetically Cohen-Macaulay scheme $X \subseteq \mathbb{P}^n$, and let
$I_X^{(m)}$ denote its $m$-th symbolic power. We are interested in when
$I_X^{(m)} = I_X^m$. We survey what is known about this problem when $X$ is
locally a complete intersection, and in particular, we review the
classification of when $I_X^{(m)} = I_X^m$ for all $m \geq 1$. We then discuss
how one might weaken these hypotheses, but still obtain equality between the
symbolic and ordinary powers. Finally, we show that this classification allows
one to: (1) simplify known results about symbolic powers of ideals of points in
$\mathbb{P}^1 \times \mathbb{P}^1$; (2) verify a conjecture of Guardo,
Harbourne, and Van Tuyl, and (3) provide additional evidence to a conjecture of
R\"omer.


title: Metal-Mott insulator interfaces

abstract:
  Motivated by the direct observation of electronic phase separation in
first-order Mott transitions, we model the interface between the
thermodynamically coexisting metal and Mott insulator. We show how to model the
required slab geometry and extract the electronic spectra. We construct an
effective Landau free energy and compute the variation of its parameters across
the phase diagram. Finally, using a linear mixture of the density and
double-occupancy, we identify a natural Ising order parameter which unifies the
treatment of the bandwidth and filling controlled Mott transitions.