title: Deep Convolutional Neural Network for 6-DOF Image Localization

abstract:
  We present an accurate and robust method for six degree of freedom image
localization. There are two key-points of our method, 1. automatic immense
photo synthesis and labeling from point cloud model and, 2. pose estimation
with deep convolutional neural networks regression. Our model can directly
regresses 6-DOF camera poses from images, accurately describing where and how
it was captured. We achieved an accuracy within 1 meters and 1 degree on our
out-door dataset, which covers about 2 acres on our school campus.


title: Exotic t-structures and actions of quantum affine algebras

abstract:
  We explain how quantum affine algebra actions can be used to systematically
construct "exotic" t-structures. The main idea, roughly speaking, is to take
advantage of the two different descriptions of quantum affine algebras, the
Drinfeld--Jimbo and the Kac--Moody realizations.
  Our main application is to obtain exotic t-structures on certain convolution
varieties defined using the Beilinson--Drinfeld and affine Grassmannians. These
varieties play an important role in the geometric Langlands program, knot
homology constructions, K-theoretic geometric Satake and the coherent Satake
category. As a special case we also recover the exotic t-structures of
Bezrukavnikov--Mirkovic on the (Grothendieck--)Springer resolution in type A.


title: Turbulence as a problem in non-equilibrium statistical mechanics

abstract:
  The transitional and well-developed regimes of turbulent shear flows exhibit
a variety of remarkable scaling laws that are only now beginning to be
systematically studied and understood. In the first part of this article, we
summarize recent progress in understanding the friction factor of turbulent
flows in rough pipes and quasi-two-dimensional soap films, showing how the data
obey a two-parameter scaling law known as roughness-induced criticality, and
exhibit power-law scaling of friction factor with Reynolds number that depends
on the precise form of the nature of the turbulent cascade. These results hint
at a non-equilibrium fluctuation-dissipation relation that applies to turbulent
flows. The second part of this article concerns the lifetime statistics in
smooth pipes around the transition, showing how the remarkable
super-exponential scaling with Reynolds number reflects deep connections
between large deviation theory, extreme value statistics, directed percolation
and the onset of coexistence in predator-prey ecosystems. Both these phenomena
reflect the way in which turbulence can be fruitfully approached as a problem
in non-equilibrium statistical mechanics.


title: RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning

abstract:
  Deep reinforcement learning (deep RL) has been successful in learning
sophisticated behaviors automatically; however, the learning process requires a
huge number of trials. In contrast, animals can learn new tasks in just a few
trials, benefiting from their prior knowledge about the world. This paper seeks
to bridge this gap. Rather than designing a "fast" reinforcement learning
algorithm, we propose to represent it as a recurrent neural network (RNN) and
learn it from data. In our proposed method, RL$^2$, the algorithm is encoded in
the weights of the RNN, which are learned slowly through a general-purpose
("slow") RL algorithm. The RNN receives all information a typical RL algorithm
would receive, including observations, actions, rewards, and termination flags;
and it retains its state across episodes in a given Markov Decision Process
(MDP). The activations of the RNN store the state of the "fast" RL algorithm on
the current (previously unseen) MDP. We evaluate RL$^2$ experimentally on both
small-scale and large-scale problems. On the small-scale side, we train it to
solve randomly generated multi-arm bandit problems and finite MDPs. After
RL$^2$ is trained, its performance on new MDPs is close to human-designed
algorithms with optimality guarantees. On the large-scale side, we test RL$^2$
on a vision-based navigation task and show that it scales up to
high-dimensional problems.


title: Null weak values and the past of a quantum particle

abstract:
  Non-destructive weak measurements (WM) made on a quantum particle allow to
extract information as the particle evolves from a prepared state to a finally
detected state. The physical meaning of this information has been open to
debate, particularly in view of the apparent discontinuous trajectories of the
particle recorded by WM. In this work we investigate the properties of
vanishing weak values for projection operators as well as general observables.
We then analyze the implications when inferring the past of a quantum particle.
We provide a novel (non-optical) example for which apparent discontinuous
trajectories are obtained by WM. Our approach is compared to previous results.


title: $l^p$ decoupling for restricted $k$-broadness

abstract:
  To prove Fourier restriction estimate using polynomial partitioning, Guth
introduced the concept of $k$-broad part of regular $L^p$ norm and obtained
sharp $k$-broad restriction estimates. To go from $k$-broad estimates to
regular $L^p$ estimates, Guth employed $l^2$ decoupling result. In this
article, similar to the technique introduced by Bourgain-Guth, we establish an
analogue to go from regular $L^p$ norm to its $(m+1)$-broad part, as the error
terms we have the restricted $k$-broad parts ($k=2,\cdots,m$). To analyze the
restricted $k$-broadness, we prove an $l^p$ decoupling result, which can be
applied to handle the error terms and recover Guth's linear restriction
estimates.


title:
Far-Ultraviolet to Near-Infrared Spectroscopy of A Nearby Hydrogen Poor
  Superluminous Supernova Gaia16apd

abstract:
  We report the first maximum-light far-Ultraviolet to near-infrared spectra
(1000A - 1.62um, rest) of a H-poor superluminous supernova, Gaia16apd. At
z=0.1018, it is one of the closest and the UV brightest such events, with 17.4
(AB) magnitude in Swift UV band (1928A) at -11days pre-maximum. Assuming an
exponential form, we derived the rise time of 33days and the peak bolometric
luminosity of 3x10^{44}ergs^-1. At maximum light, the estimated photospheric
temperature and velocity are 17,000K and 14,000kms^-1 respectively. The
inferred radiative and kinetic energy are roughly 1x10^{51} and 2x10^{52}erg.
Gaia16apd is extremely UV luminous, emitting 50% of its total luminosity at
1000 - 2500A. Compared to the UV spectra (normalized at 3100A) of well studied
SN1992A (Ia), SN2011fe(Ia), SN1999em (IIP) and SN1993J (IIb), it has orders of
magnitude more far-UV emission. This excess is interpreted primarily as a
result of weaker metal line blanketing due to much lower abundance of
iron-group elements in the outer ejecta. Because these elements originate
either from the natal metallicity of the star, or have been newly produced, our
observation provides direct evidence that little of these freshly synthesized
material, including 56Ni, was mixed into the outer ejecta, and the progenitor
metallicity is likely sub-solar. This disfavors Pair-Instability Supernova
(PISN) models with Helium core masses >=90Msun, where substantial 56Ni material
is produced. Higher photospheric temperature of Gaia16apd than that of normal
SNe may also contribute to the observed far-UV excess. We find some indication
that UV luminous SLSNe-I like Gaia16apd could be common. Using the UV spectra,
we show that WFIRST could detect SLSNe-I out to redshift of 8.


title:
Adjacency Graphs and Long-Range Interactions of Atoms in
  Quasi-Degenerate States: Applied Graph Theory

abstract:
  We analyze, in general terms, the evolution of energy levels in quantum
mechanics, as a function of a coupling parameter, and demonstrate the
possibility of level crossings in systems described by irreducible matrices. In
long-range interactions, the coupling parameter is the interatomic distance. We
demonstrate the utility of adjacency matrices and adjacency graphs in the
analysis of "hidden" symmetries of a problem; these allow us to break reducible
matrices into irreducible subcomponents. A possible breakdown of the
no-crossing theorem for higher-dimensional irreducible matrices is indicated,
and an application to the 2S-2S interaction in hydrogen is briefly described.
The analysis of interatomic interactions in this system is important for
further progress on optical measurements of the 2S hyperfine splitting.


title:
Discrete gravity as a topological field theory with light-like curvature
  defects

abstract:
  I present a model of discrete gravity, which is formulated in terms of a
topological gauge theory with defects. The theory has no local degrees of
freedom and the gravitational field is trivial everywhere except at a number of
colliding null surfaces, which represent a system of curvature defects
propagating at the speed of light. The underlying action is local and it is
studied in both its Lagrangian and Hamiltonian formulation. The canonically
conjugate variables on the null surfaces are a spinor and a spinor-valued
two-surface density, which are coupled to a topological field theory for the
Lorentz connection in the bulk. I discuss the relevance of the model for
non-perturbative approaches to quantum gravity, such as loop quantum gravity,
where similar variables have recently appeared as well.


title: Numerical Integration over the Unit Sphere by using spherical t-design

abstract:
  This paper studies numerical integration over the unit sphere $ \mathbb{S}^2
\subset \mathbb{R}^{3} $ by using spherical $t$-design, which is an equal
positive weights quadrature rule with polynomial precision $t$. We investigate
two kinds of spherical $t$-designs with $t$ up to 160. One is well conditioned
spherical $t$-design(WSTD), which was proposed by [1] with $ N=(t+1)^{2} $. The
other is efficient spherical $t$-design(ESTD), given by Womersley [2], which is
made of roughly of half cardinality of WSTD. Consequently, a series of
persuasive numerical evidences indicates that WSTD is better than ESTD in the
sense of worst-case error in Sobolev space $ \mathbb{H}^{s}(\mathbb{S}^2) $.
Furthermore, WSTD is employed to approximate integrals of various of functions,
especially including integrand has a point singularity over the unit sphere and
a given ellipsoid. In particular, to deal with singularity of integrand,
Atkinson's transformation [3] and Sidi's transformation [4] are implemented
with the choices of `grading parameters' to obtain new integrand which is much
smoother. Finally, the paper presents numerical results on uniform errors for
approximating representive integrals over sphere with three quadrature rules:
Bivariate trapezoidal rule, Equal area points and WSTD.


title:
Pointwise rates of convergence for the Oliker-Prussner method for the
  Monge-Amp\`{e}re equation

abstract:
  We study the Oliker-Prussner method exploiting its geometric nature. We
derive discrete stability and continuous dependence estimates in the max-norm
by using a discrete Alexandroff estimate and the Brunn-Minkowski inequality. We
show that the method is exact for all convex quadratic polynomials provided the
underlying set of nodes is translation invariant within the domain; nodes still
conform to the domain boundary. This gives a suitable notion of operator
consistency which, combined with stability, leads to pointwise rates of
convergence for classical and non-classical solutions of the Monge-Amp\`{e}re
equation.


title:
Catching Worms, Trojan Horses and PUPs: Unsupervised Detection of Silent
  Delivery Campaigns

abstract:
  The growing commoditization of the underground economy has given rise to
malware delivery networks, which charge fees for quickly delivering malware or
unwanted software to a large number of hosts. To provide this service, a key
method is the orchestration of silent delivery campaigns, which involve a group
of downloaders that receive remote commands and that deliver their payloads
without any user interaction. These campaigns have not been characterized
systematically, unlike other aspects of malware delivery networks. Moreover,
silent delivery campaigns can evade detection by relying on inconspicuous
downloaders on the client side and on disposable domain names on the server
side. We describe Beewolf, a system for detecting silent delivery campaigns
from Internet-wide records of download events. The key observation behind our
system is that the downloaders involved in these campaigns frequently retrieve
payloads in lockstep. Beewolf identifies such locksteps in an unsupervised and
deterministic manner. By exploiting novel techniques and empirical
observations, Beewolf can operate on streaming data. We utilize Beewolf to
study silent delivery campaigns at scale, on a data set of 33.3 million
download events. This investigation yields novel findings, e.g. malware
distributed through compromised software update channels, a substantial overlap
between the delivery ecosystems for malware and unwanted software, and several
types of business relationships within these ecosystems. Beewolf achieves over
92% true positives and fewer than 5% false positives. Moreover, Beewolf can
detect suspicious downloaders a median of 165 days ahead of existing anti-virus
products and payload-hosting domains a median of 196 days ahead of existing
blacklists.


title:
Generative Shape Models: Joint Text Recognition and Segmentation with
  Very Little Training Data

abstract:
  We demonstrate that a generative model for object shapes can achieve state of
the art results on challenging scene text recognition tasks, and with orders of
magnitude fewer training images than required for competing discriminative
methods. In addition to transcribing text from challenging images, our method
performs fine-grained instance segmentation of characters. We show that our
model is more robust to both affine transformations and non-affine deformations
compared to previous approaches.


title: Consistency of warm k-inflation

abstract:
  We extend the k-inflation which is a type of kinetically driven inflationary
model under the standard inflationary scenario to a possible warm inflationary
scenario. The dynamical equations of this warm k-inflation model are obtained.
We rewrite the slow-roll parameters which are different from the usual
potential driven inflationary models and perform a linear stability analysis to
give the proper slow-roll conditions in the warm k-inflation. Two cases, a
power-law kinetic function and an exponential kinetic function, are studied,
when the dissipative coefficient $\Gamma=\Gamma_0$ and $\Gamma=\Gamma(\phi)$,
respectively. A proper number of e-folds is obtained in both concrete cases of
warm k-inflation. We find a constant dissipative coefficient
($\Gamma=\Gamma_0$) is not a workable choice for these two cases while the two
cases with $\Gamma=\Gamma(\phi)$ are self-consistent warm inflationary models.


title: Abell 2744: Too much substructure for Lambda CDM?

abstract:
  The massive substructures found in Abell 2744 by Jauzac et al. (2016) present
a challenge to the cold dark matter paradigm due to their number and proximity
to the cluster centre. We use one of the biggest N-body simulations, the
Millennium XXL, to investigate the substructure in a large sample of massive
dark matter haloes. A range of effects which influence the comparison with the
observations is considered, extending the preliminary evaluation carried out by
Jauzac et al. (2016). There are many tens of haloes in the simulation with a
total mass comparable with or larger than that of Abell 2744. However, we find
no haloes with a number and distribution of massive substructures (> 5 10^13
Msun) that is close to that inferred from the observations of Abell 2744. The
application of extreme value statistics suggests that we would need a
simulation of at least ten times the volume of the Millennium XXL to find a
single dark matter halo with a similar internal structure to Abell 2744.
Explaining the distribution of massive substructures in clusters is a new
hurdle for hierarchical models to negotiate, which is not weakened by appeals
to baryonic physics or uncertainty over the nature of the dark matter particle.


title:
Behavior of the generalized Rosenblatt process at extreme critical
  exponent values

abstract:
  The generalized Rosenblatt process is obtained by replacing the single
critical exponent characterizing the Rosenblatt process by two different
exponents living in the interior of a triangular region. What happens to that
generalized Rosenblatt process as these critical exponents approach the
boundaries of the triangle? We show by two different methods that on each of
the two symmetric boundaries, the limit is non-Gaussian. On the third boundary,
the limit is Brownian motion. The rates of convergence to these boundaries are
also given. The situation is particularly delicate as one approaches the
corners of the triangle, because the limit process will depend on how these
corners are approached. All limits are in the sense of weak convergence in
$C[0,1]$. These limits cannot be strengthened to convergence in $L^2(\Omega)$.


title: Non-volatile Hierarchical Temporal Memory: Hardware for Spatial Pooling

abstract:
  Hierarchical Temporal Memory (HTM) is a biomimetic machine learning algorithm
imbibing the structural and algorithmic properties of the neocortex. Two main
functional components of HTM that enable spatio-temporal processing are the
spatial pooler and temporal memory. In this research, we explore a scalable
hardware realization of the spatial pooler closely coupled with the
mathematical formulation of spatial pooler. This class of neuromorphic
algorithms are advantageous in solving a subset of the future engineering
problems by extracting nonintuitive patterns in complex data. The proposed
architecture, Non-volatile HTM (NVHTM), leverages large-scale solid state flash
memory to realize a optimal memory organization, area and power envelope. A
behavioral model of NVHTM is evaluated against the MNIST dataset, yielding
91.98% classification accuracy. A full custom layout is developed to validate
the design in a TSMC 180nm process. The area and power profile of the spatial
pooler are 30.538mm2 and 64.394mW, respectively. This design is a
proof-of-concept that storage processing is a viable platform for large scale
HTM network models.


title:
Magnetic B stars observed with BRITE: Spots, magnetospheres, binarity,
  and pulsations

abstract:
  Magnetic B-type stars exhibit photometric variability due to diverse causes,
and consequently on a variety of timescales. In this paper we describe
interpretation of BRITE photometry and related ground-based observations of 4
magnetic B-type systems: $\epsilon$ Lupi, $\tau$ Sco, a Cen and $\epsilon$ CMa.


title: Quantum Repeaters Using Continuous Variable Teleportation

abstract:
  Quantum optical states are fragile and can become corrupted when passed
through a lossy communication channel. Unlike for classical signals, optical
amplifiers cannot be used to recover quantum signals. Quantum repeaters have
been proposed as a way of reducing errors and hence increasing the range of
quantum communications. Current protocols target specific discrete encodings,
for example quantum bits encoded on the polarization of single photons. We
introduce a more general approach that can reduce the effect of loss on any
quantum optical encoding, including those based on continuous variables such as
the field amplitudes. We show that in principle the protocol incurs a resource
cost that scales polynomially with distance. We analyse the simplest
implementation and find that whilst its range is limited it can still achieve
useful improvements in the distance over which quantum entanglement of field
amplitudes can be distributed.


title: Repeaters for Continuous Variable Quantum Communication

abstract:
  Optical telecommunication is at the heart of today's internet and is
currently enabled by the transmission of intense optical signals between remote
locations. As we look to the future of telecommunication, quantum mechanics
promise new ways to be able to transmit and process that information.
Demonstrations of quantum key distribution and quantum teleportation using
multi-photon states have been performed, but only over ranges limited to one
hundred kilometers. To go beyond this, we need repeaters that are compatible
with these quantum multi-photon continuous variables pulses. Here we present a
design for a continuous variable quantum repeaters that can distribute
entangled and pure two-mode squeezed states over arbitrarily long distances
with a success probability that scales only polynomially with distance. The
proposed quantum repeater is composed from several basic known building blocks
such as non-Gaussian operations for entanglement distillation and an iterative
Gaussification protocol (for retaining the Gaussian character of the final
state), but complemented with a heralded non-Gaussian entanglement swapping
protocol, which allows us to avoid extensive iterations of quantum
Gaussification. We characterize the performance of this scheme in terms of key
rates for quantum key distribution and show a secure key can be generated over
thousands of kilometers.


title:
Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models
  with KL-control

abstract:
  This paper proposes a general method for improving the structure and quality
of sequences generated by a recurrent neural network (RNN), while maintaining
information originally learned from data, as well as sample diversity. An RNN
is first pre-trained on data using maximum likelihood estimation (MLE), and the
probability distribution over the next token in the sequence learned by this
model is treated as a prior policy. Another RNN is then trained using
reinforcement learning (RL) to generate higher-quality outputs that account for
domain-specific incentives while retaining proximity to the prior policy of the
MLE RNN. To formalize this objective, we derive novel off-policy RL methods for
RNNs from KL-control. The effectiveness of the approach is demonstrated on two
applications; 1) generating novel musical melodies, and 2) computational
molecular generation. For both problems, we show that the proposed method
improves the desired properties and structure of the generated sequences, while
maintaining information learned from data.


title: Observation of $\Lambda^+_{c}\to nK^0_S\pi^+$

abstract:
  We report the first direct measurement of decays of the $\Lambda^+_c$ baryon
involving the neutron. The analysis is performed using 567 pb$^{-1}$ of
$e^+e^-$ collision data collected at $\sqrt{s}=4.599$ GeV with the BESIII
detector at the BEPCII collider. We observe the decay $\Lambda^+_{c}\rightarrow
n K^0_S\pi^+$ and measure the absolute branching fraction to be
$\mathcal{B}({\Lambda^+_{c}\rightarrow n K^0_S\pi^+})=(1.82\pm0.23({\rm
stat})\pm0.11({\rm syst}))\%$. A comparison to
$\mathcal{B}({\Lambda^+_{c}\rightarrow p(\bar{K}\pi)^0})$ provides an important
test of isospin symmetry and final state interactions.


title:
Results from a triple chord stellar occultation and far-infrared
  photometry of the trans-Neptunian object (229762) 2007 UK126

abstract:
  A stellar occultation by a trans-Neptunian object (TNO) provides an
opportunity to probe its size and shape. Very few occultations by TNOs have
been sampled simultaneously from multiple locations, while a robust estimation
of shadow size has been possible for only two objects. We present the first
observation of an occultation by the TNO 2007 UK126 on 15 November 2014,
measured by three observers, one nearly on and two almost symmetrical to the
shadow's centerline. This is the first multi-chord dataset obtained for a
so-called detached object, a TNO subgroup with perihelion distances so large
that the giant planets have likely not perturbed their orbits. We revisit
Herschel/PACS far-infrared data, applying a new reduction method to improve the
accuracy of the measured fluxes. Combining both datasets allows us to
comprehensively characterize 2007 UK126. We use error-in-variable regression to
solve the non-linear problem of propagating timing errors into uncertainties of
the ellipse parameters. Based on the shadow's size and a previously reported
rotation period, we expect a shape of a Maclaurin spheroid and derive a
geometrically plausible size range. To refine our size estimate of 2007 UK126,
we model its thermal emission using a thermophysical model code. We conduct a
parametric study to predict far-infrared fluxes and compare them to the
Herschel/PACS measurements. The favorable geometry of our occultation chords,
combined with minimal dead-time imaging, and precise GPS time measurements,
allow for an accurate estimation of the shadow size (best-fitting ellipse with
axes 645.80 $\pm$ 5.68 km $\times$ 597.81 $\pm$ 12.74 km) and the visual
geometric albedo (15.0 $\pm$ 1.6 %). By combining our analyses of the
occultation and the far-infrared data, we can constrain the effective diameter
of 2007 UK126 to 599 - 629 km. We conclude that subsolar surface temperatures
are $\approx$ 50 - 55 K.


title:
Interfacial interaction in monolayer transition metal dichalcogenides
  (MX2)/metal oxide heterostructures and its effects on electronic and optical
  properties: The case of MX2/CeO2

abstract:
  Two-dimensional transition metal dichalcogenides (MX2)/metal oxide
heterostructures have shown unique physical properties, making them promising
materials for various applications ranging from photocatalysis to solar energy
conversion. Understanding the interfacial interactions is highly desirable for
designing these heterostructures having excellent performance. Here we
systematically study the interfacial interaction in monolayer MX2 (M=Mo, W;
X=S, Se)/CeO2 heterostructures and its effects on electronic and optical
properties by density functional theory. It is found that the interfacial
interaction in the MX2/CeO2 depends predominantly on the chalcogen (X) element.
Particularly, the band gap variation and important electronic states at
conduction band minimum or valence band maximum of the heterostructures are
determined by the strength of interfacial interaction. The MX2/CeO2
heterostructures with the same chalcogen (X) element have similar absorption
spectra from ultraviolet to near-infrared regions. These results suggest that
the chalcogen (X) element is a key factor in tuning the properties of MX2/metal
oxide heterostructures.


title:
General approach to find steady-state manifolds in Markovian and
  non-Markovian systems

abstract:
  Steady-state manifolds of open quantum systems, such as decoherence-free
subspaces and noiseless subsystems, are of great practical importance to the
end of quantum information processing. Yet, it is a difficult problem to find
steady-state manifolds of open quantum systems, especially of non-Markovian
systems. In this paper, we propose an approach to find the steady-state
manifolds, which is generally applicable to both Markovian and non-Markovian
systems. Our approach is based on an arbitrarily given steady state, and by
following the standard steps of the approach, the steady-state manifold on the
support subspace of the given state can be obtained. Our work reduces the
problem of finding a manifold of steady states to that of finding only one
steady state, which is indeed an interesting progress towards completely
solving the difficult problem. Besides, in deriving our approach, we introduce
the notions of the modified noise algebra and its commutant, and prove two
theorems on the structure of steady-state manifolds of general open systems,
which themselves are interesting findings too.


title: The resultants of quadratic binomial complete intersections

abstract:
  We compute the resultants for quadratic binomial complete intersections. As
an application we show that any quadratic binomial complete intersection can
have the set of square-free monomials as a vector space basis if the generators
are put in a normal form.


title: Pairwise Sequential Randomization and Its Properties

abstract:
  In comparative studies, such as in causal inference and clinical trials,
balancing important covariates is often one of the most important concerns for
both efficient and credible comparison. However, chance imbalance still exists
in many randomized experiments. This phenomenon of covariate imbalance becomes
much more serious as the number of covariates $p$ increases. To address this
issue, we introduce a new randomization procedure, called pairwise sequential
randomization (PSR). The proposed method allocates the units sequentially and
adaptively, using information on the current level of imbalance and the
incoming unit's covariate. With a large number of covariates or a large number
of units, the proposed method shows substantial advantages over the traditional
methods in terms of the covariate balance, estimation accuracy, and
computational time, making it an ideal technique in the era of big data. The
proposed method attains the optimal covariate balance, in the sense that the
estimated treatment effect under the proposed method attains its minimum
variance asymptotically. Also the proposed method is widely applicable in both
causal inference and clinical trials. Numerical studies and real data analysis
provide further evidence of the advantages of the proposed method.


title:
Semi-Supervised Recognition of the Diploglossus Millepunctatus Lizard
  Species using Artificial Vision Algorithms

abstract:
  Animal biometrics is an important requirement for monitoring and conservation
tasks. The classical animal biometrics risk the animals' integrity, are
expensive for numerous animals, and depend on expert criterion. The
non-invasive biometrics techniques offer alternatives to manage the
aforementioned problems. In this paper we propose an automatic segmentation and
identification algorithm based on artificial vision algorithms to recognize
Diploglossus millepunctatus. Diploglossus millepunctatus is an endangered
lizard species. The algorithm is based on two stages: automatic segmentation to
remove the subjective evaluation, and one identification stage to reduce the
analysis time. A 82.87% of correct segmentation in average is reached.
Meanwhile the identification algorithm is achieved with euclidean distance
point algorithms such as Iterative Closest Point and Procrustes Analysis. A
performance of 92.99% on the top 1, and a 96.82% on the top 5 is reached. The
developed software, and the database used in this paper are publicly available
for download from the web page of the project.


title: Y-system for $\gamma$-deformed ABJM Theory

abstract:
  We investigate the integrable aspects of the planar $\gamma$-deformed ABJM
theory and propose the twisted asymptotic Bethe ansatz equations. A more
general method through a twisted generating functional is discussed, based on
which, the asymptotic large L solution of Y-system is modified in order to
match the asymptotic Bethe ansatz equations. Several applications of our method
were made in the $sl(2)$-like sector and some important examples in
$\beta$-deformed ABJM are presented as well.


title:
Inhomogeneous Dirichlet Boundary Condition in the A Posteriori Error
  Control of the Obstacle Problem

abstract:
  We propose a new and simpler residual based a posteriori error estimator for
finite element approximation of the elliptic obstacle problem. The results in
the article are two fold. Firstly, we address the influence of the
inhomogeneous Dirichlet boundary condition in {\em a posteriori} error control
of the elliptic obstacle problem. Secondly by rewriting the obstacle problem in
an equivalent form, we derive simpler {\em a posteriori} error bounds which are
free from min/max functions. To accomplish this, we construct a post-processed
solution $\tilde u_h$ of the discrete solution $u_h$ which satisfies the exact
boundary conditions although the discrete solution $u_h$ may not satisfy. We
propose two post processing methods and analyze them. We remark that the
results known in the literature are either for the homogeneous Dirichlet
boundary condition or that the estimator is only weakly reliable in the case of
inhomogeneous Dirichlet boundary condition.


title:
Gender Politics in the 2016 U.S. Presidential Election: A Computer
  Vision Approach

abstract:
  Gender is playing an important role in the 2016 U.S. presidential election,
especially with Hillary Clinton becoming the first female presidential nominee
and Donald Trump being frequently accused of sexism. In this paper, we
introduce computer vision to the study of gender politics and present an
image-driven method that can measure the effects of gender in an accurate and
timely manner. We first collect all the profile images of the candidates'
Twitter followers. Then we train a convolutional neural network using images
that contain gender labels. Lastly, we classify all the follower and unfollower
images. Through two case studies, one on the `woman card' controversy and one
on Sanders followers, we demonstrate how gender is informing the 2016
presidential election. Our framework of analysis can be readily generalized to
other case studies and elections.


title:
Bubbles Enriched Quadratic Finite Element Method for the 3D-Elliptic
  Obstacle Problem

abstract:
  Optimally convergent (with respect to the regularity) quadratic finite
element method for two dimensional obstacle problem on simplicial meshes is
studied in (Brezzi, Hager, Raviart, Numer. Math, 28:431--443, 1977). There was
no analogue of a quadratic finite element method on tetrahedron meshes for
three dimensional obstacle problem. In this article, a quadratic finite element
enriched with element-wise bubble functions is proposed for the three
dimensional elliptic obstacle problem. A priori error estimates are derived to
show the optimal convergence of the method with respect to the regularity.
Further a posteriori error estimates are derived to design an adaptive mesh
refinement algorithm. Numerical experiment illustrating the theoretical result
on {\em a priori} error estimate is presented.


title:
Statistical exchange-coupling errors and the practicality of scalable
  silicon donor qubits

abstract:
  Recent experimental efforts have led to considerable interest in donor-based
localized electron spins in Si as viable qubits for a scalable silicon quantum
computer. With the use of isotopically purified $^{28}$Si and the realization
of extremely long spin coherence time in single-donor electrons, the recent
experimental focus is on two-coupled donors with the eventual goal of a
scaled-up quantum circuit. Motivated by this development, we simulate the
statistical distribution of the exchange coupling $J$ between a pair of donors
under realistic donor placement straggles, and quantify the errors relative to
the intended $J$ value. With $J$ values in a broad range of donor-pair
separation ($5<|\mathbf{R}|<60$ nm), we work out various cases systematically,
for a target donor separation $\mathbf{R}_0$ along the [001], [110] and [111]
Si crystallographic directions, with $|\mathbf{R}_0|=10, 20$ or 30 nm and
standard deviation $\sigma_R=1, 2, 5$ or 10 nm. Our extensive theoretical
results demonstrate the great challenge for a prescribed $J$ gate even with
just a donor pair, a first step for any scalable Si-donor-based quantum
computer.


title:
Sudden spreading of infections in an epidemic model with a finite seed
  fraction

abstract:
  We study a simple case of the susceptible-weakened-infected-removed model in
regular random graphs in a situation where an epidemic starts from a finite
fraction of initially infected nodes (seeds). Previous studies have shown that,
assuming a single seed, this model exhibits a kind of discontinuous transition
at a certain value of infection rate. Performing Monte Carlo simulations and
evaluating approximate master equations, we find that the present model has two
critical infection rates for the case with a finite seed fraction. At the first
critical rate the system shows a percolation transition of clusters composed of
removed nodes, and at the second critical rate, which is larger than the first
one, a giant cluster suddenly grows and the order parameter jumps even though
it has been already rising. Numerical evaluation of the master equations shows
that such sudden epidemic spreading does occur if the degree of the underlying
network is large and the seed fraction is small.


title:
The 2015 Decay of the Black Hole X-ray Binary V404 Cygni: Robust
  Disk-Jet Coupling and a Sharp Transition into Quiescence

abstract:
  We present simultaneous X-ray and radio observations of the black hole X-ray
binary V404 Cygni at the end of its 2015 outburst. From 2015 July 11-August 5
we monitored V404 Cygni with Chandra, Swift, and NuSTAR in the X-ray, and with
the Karl G. Jansky Very Large Array and the Very Long Baseline Array in the
radio, spanning a range of luminosities that were poorly covered during its
previous outburst in 1989 (our 2015 campaign covers 2e33<Lx<1e34 erg/s). During
our 2015 campaign, the X-ray spectrum evolved rapidly from a hard photon index
of Gamma~1.6 (at Lx~1e34 erg/s) to a softer Gamma~2 (at Lx~3e33 erg/s). We
argue that V404 Cygni reaching Gamma~2 marks the beginning of the quiescent
spectral state, which occurs at a factor of ~3-4 higher X-ray luminosity than
the average pre-outburst luminosity of ~8e32 erg/s. V404 Cygni falls along the
same radio/X-ray luminosity correlation that it followed during its previous
outburst in 1989, implying a robust disk-jet coupling. We exclude the
possibility that a synchrotron cooled jet dominates the X-ray emission in
quiescence, leaving synchrotron self-Compton from either a hot accretion flow
or from a radiatively cooled jet as the most likely sources of X-ray radiation,
and/or particle acceleration along the jet becoming less efficient in
quiescence. Finally, we present the first indications of correlated radio and
X-ray variability on minute timescales in quiescence, tentatively measuring the
radio emission to lag the X-ray by 15+/-4 min, suggestive of X-ray variations
propagating down a jet of length <3.0 AU.


title: The $3d$-Electron Heisenberg Pyrochlore Mn$_2$Sb$_2$O$_7$

abstract:
  In frustrated magnetic systems, geometric constraints or the competition
amongst interactions introduce extremely high degeneracy and prevent the system
from readily selecting a low-temperature ground state. The most frustrated
known spin arrangement is on the pyrochlore lattice, but nearly all magnetic
pyrochlores have unquenched orbital angular momentum, constraining the spin
directions through spin-orbit coupling. Pyrochlore Mn$_2$Sb$_2$O$_7$ is an
extremely rare Heisenberg pyrochlore system, with directionally-unconstrained
spins and low chemical disorder. We show that it undergoes a spin-glass
transition at 5.5K, which is suppressed by disorder arising from Mn vacancies,
indicating this ground state to be a direct consequence of the spins'
interactions. The striking similarities to $3d$ transition metal pyrochlores
with unquenched angular momentum suggests that the low spin-orbit coupling in
the $3d$ block makes Heisenberg pyrochlores far more accessible than previously
imagined.


title: On slowly rotating axisymmetric solutions of the Euler-Poisson equations

abstract:
  We construct stationary axisymmetric solutions of the Euler-Poisson
equations, which govern the internal structure of polytropic gaseous stars,
with small constant angular velocity when the adiabatic exponent $\gamma$
belongs to $(\frac65,\frac32]$. The problem is formulated as a nonlinear
integral equation, and is solved by iteration technique. By this method, not
only we get the existence, but also we clarify properties of the solutions such
as the physical vacuum condition and oblateness of the star surface.


title:
Hamiltonian and Lagrangian formalisms of mutations in cluster algebras
  and application to dilogarithm identities

abstract:
  We introduce and study a Hamiltonian formalism of mutations in cluster
algebras using canonical variables, where the Hamiltonian is given by the Euler
dilogarithm. The corresponding Lagrangian, restricted to a certain subspace of
the phase space, coincides with the Rogers dilogarithm. As an application, we
show how the dilogarithm identity associated with a period of mutations in a
cluster algebra arises from the Hamiltonian/Lagrangian point of view.


title:
Ultrathin Complementary Metasurface for Orbital Angular Momentum
  Generation at Microwave Frequencies

abstract:
  Electromagnetic (EM) waves with helical wavefront carry orbital angular
momentum (OAM), which is associated with the azimuthal phase of the complex
electric field. OAM is a new degree of freedom in EM waves and is promising for
channel multiplexing in communication system. Although the OAM-carrying EM wave
attracts more and more attention, the method of OAM generation at microwave
frequencies still faces challenges, such as efficiency and simulation time. In
this work, by using the circuit theory and equivalence principle, we build two
simplified models, one for a single scatter and one for the whole metasurface
to predict their EM responses. Both of the models significantly simplify the
design procedure and reduce the simulation time. In this paper, we propose an
ultrathin complementary metasurface that converts a left-handed (right-handed)
circularly polarized plane wave without OAM to a right-handed (left-handed)
circularly polarized wave with OAM of arbitrary orders and a high transmission
efficiency can be achieved.


title:
An Automated System for Essay Scoring of Online Exams in Arabic based on
  Stemming Techniques and Levenshtein Edit Operations

abstract:
  In this article, an automated system is proposed for essay scoring in Arabic
language for online exams based on stemming techniques and Levenshtein edit
operations. An online exam has been developed on the proposed mechanisms,
exploiting the capabilities of light and heavy stemming. The implemented online
grading system has shown to be an efficient tool for automated scoring of essay
questions.


title:
Automatic Conversion of Relational Databases into Ontologies: A
  Comparative Analysis of Prot\'eg\'e Plug-ins Performances

abstract:
  Constructing ontologies from relational databases is an active research topic
in the Semantic Web domain. While conceptual mapping rules/principles of
relational databases and ontology structures are being proposed, several
software modules or plug-ins are being developed to enable the automatic
conversion of relational databases into ontologies. However, the correlation
between the resulting ontologies built automatically with plug-ins from
relational databases and the database-to-ontology mapping principles has been
given little attention. This study reviews and applies two Prot\'eg\'e
plug-ins, namely, DataMaster and OntoBase to automatically construct ontologies
from a relational database. The resulting ontologies are further analysed to
match their structures against the database-to-ontology mapping principles. A
comparative analysis of the matching results reveals that OntoBase outperforms
DataMaster in applying the database-to-ontology mapping principles for
automatically converting relational databases into ontologies.


title: Potassium bromide, KBr/{\epsilon} : New Force Field

abstract:
  The correct description of the ionic interaction and stable equilibrium of
the simulations of biomolecular structure, dynamics, folding, catalysis, and
function, an accurate model of the monovalent ions is very important. The force
field needs to reproduce coincident many properties of ions, like their
structure, solvation, and moreover both the interactions of these ions with
each other in the crystal and in solution and the interactions of ions with
other molecules. Using a similar strategy employed in the parameterization of
the NaCl/epsilon , in this paper, we first propose a force field for the
Potassium Bromide, the KBr/epsilon. This new model is compared with the
experimental values of cristal density and structure for the salt and the
density, the viscosity, the dielectric constant and the solubility in the water
solution for a range of concentrations. Next, the transferability, of this new
model KBr/epsilon and the NaCl/epsilon, is verified by creating the KCl/epsilon
and the NaBr/epsilon models. The strategy is to employ the same parameters
obtained for the NaCl/epsilon and for the KBr/epsilon force fields. The two new
models derived are also compared with the experimental values for the density,
the viscosity, the dielectric constant and the solubility in the water solution
for a range of concentrations.


title:
Hierarchical Stochastic Model in Bayesian Inference: Theoretical
  Implications and Efficient Approximation

abstract:
  We classify two types of Hierarchical Bayesian Model found in the literature
as Hierarchical Prior Model (HPM) and Hierarchical Stochastic Model (HSM).
Then, we focus on studying the theoretical implications of the HSM. Using
examples of polynomial functions, we show that the HSM is capable of separating
different types of uncertainties in a system and quantifying uncertainty of
reduced order models under the Bayesian model class selection framework. To
tackle the huge computational cost for analyzing HSM, we propose an efficient
approximation scheme based on Importance Sampling and Empirical Interpolation
Method. We illustrate our method using two examples - a Molecular Dynamics
simulation for Krypton and a pharmacokinetic/pharmacodynamic model for cancer
drug.


title: Splice Graphs and Their Topological Indices

abstract:
  Let $G_1=(V_1,E_1)$ and $G_2=(V_2,E_2)$ be two graphs with disjoint vertex
sets $V_1$ and $V_2$. Let $u_1 \in V_1$ and $u_2 \in V_2$. A splice of $G_1$
and $G_2$ by vertices $u_1$ and $u_2$, $\mathcal{S}(G_1,G_2;u_1,u_2)$, is
defined by identifying the vertices $u_1$ and $u_2$ in the union of $G_1$ and
$G_2$. In this paper we calculate the Szeged, edge-Szeged, $PI$, vertex-$PI$
and eccentric connectivity indices of splice graphs.


title:
Magnetic field structure of IC 63 and IC 59 associated to H II region -
  Sh 185

abstract:
  Bright-rimmed clouds (BRCs) are formed at the periphery of H$~$II regions as
the radiation from the central star interacts with dense gas. The ionization
and resulting compression of the clouds may lead to cloud disruption causing
secondary star formation depending on the stellar and gas parameters. Here we
use R-band polarimetry to probe the plane-of-the sky magnetic field in the two
near-by BRCs IC\,59 and IC\,63. Both nebulae are illuminated by $\gamma$ Cas
with the direction of ionizing radiation being orientated parallel or
perpendicular to the local magnetic field, allowing us to probe the importance
of magnetic field pressure in the evolution of BRCs. Because of the proximity
of the system ($\sim$200pc) we have acquired a substantial sample of over 500
polarization measurements for stars background to the nebulae. On large scales,
the magnetic field geometries of both clouds are anchored to the ambient
magnetic field. For IC 63, the magnetic field is aligned parallel to the
head-tail morphology of the main condensation, with convex morphology relative
to the direction of the ionizing radiation. We estimate the plane of the sky
magnetic field strength in IC\,63 to be $\sim90\mu$G. In IC\,59, the projected
magnetic field follows the M shape morphology of the cloud. Here, field lines
present a concave shape with respect to the direction of the ionizing radiation
from $\gamma$ Cas. Comparing our observations to published theoretical models
we find good general agreement, supporting the importance of magnetic fields in
BRC evolution.


title:
Transforming Hidden Vector Encryption Schemes from Composite to Prime
  Order Groups

abstract:
  Predicate encryption is a new type of public key encryption that enables
searches on encrypted data. By using predicate encryption, we can search
keywords or attributes on encrypted data without decrypting ciphertexts. Hidden
vector encryption (HVE) is a special kind of predicate encryption. HVE supports
the evaluation of conjunctive equality, comparison, and subset operations
between attributes in ciphertexts and attributes in tokens. In this paper, we
construct efficient HVE schemes in prime order bilinear groups derived from
previous HVE schemes in composite order bilinear groups, and prove their
selective security under simple assumptions. To achieve this result, we present
a conversion method that transforms HVE schemes from composite order bilinear
groups into prime order bilinear groups. Our method supports any types of prime
order bilinear groups and uses simple assumptions.


title: On finite Carlitz multiple polylogarithms

abstract:
  In this paper, we define finite Carlitz multiple polylogarithms and show that
every finite multiple zeta value over the rational function field
$\mathbb{F}_{q}(\theta)$ is an $\mathbb{F}_{q}(\theta)$-linear combination of
finite Carlitz multiple polylogarithms at integral points. It is completely
compatible with the formula for Thakur MZV's established in [C14].


title: Language Support for Reliable Memory Regions

abstract:
  The path to exascale computational capabilities in high-performance computing
(HPC) systems is challenged by the inadequacy of present software technologies
to adapt to the rapid evolution of architectures of supercomputing systems. The
constraints of power have driven system designs to include increasingly
heterogeneous architectures and diverse memory technologies and interfaces.
Future systems are also expected to experience an increased rate of errors,
such that the applications will no longer be able to assume correct behavior of
the underlying machine. To enable the scientific community to succeed in
scaling their applications, and to harness the capabilities of exascale
systems, we need software strategies that provide mechanisms for explicit
management of resilience to errors in the system, in addition to locality of
reference in the complex memory hierarchies of future HPC systems.
  In prior work, we introduced the concept of explicitly reliable memory
regions, called havens. Memory management using havens supports reliability
management through a region-based approach to memory allocations. Havens enable
the creation of robust memory regions, whose resilient behavior is guaranteed
by software-based protection schemes. In this paper, we propose language
support for havens through type annotations that make the structure of a
program's havens more explicit and convenient for HPC programmers to use. We
describe how the extended haven-based memory management model is implemented,
and demonstrate the use of the language-based annotations to affect the
resiliency of a conjugate gradient solver application.


title: Potential Theory and Quadratic Programming

abstract:
  We extend the notion of some energy-type expressions based on two sets,
developed in the abstract potential theory. We also give the discretized
version of the quantities defined, similar to Chebyshev constant. This
extension allows to apply the potential-theoretic results to infinite quadratic
programming problems. Together with a cutting plane algorithm, the
Chebyshev-constant method ensures that under certain conditions, the infinite
problem can be reduced to semi-infinite or to finite problems.


title: Tetra-Quark Interpretation of X(3872) and Z_c(3900) Revisited

abstract:
  In relation to the newly observed bottom-strange X^{+,-}(5568) mesons, we
revisit our tetra-quark interpretation of X(3872) and Z_c(3900). It is
discussed that our assignment of X^{+,-}(5568) to charged components of
iso-triplet bottom partners of D_{s0}^+(2317) is compatible with the revised
version of our tetra-quark interpretation of X(3872) and Z_c(3900).


title: Thick tensor ideals of right bounded derived categories

abstract:
  Let $R$ be a commutative noetherian ring. Denote by $D^-(R)$ the derived
category of cochain complexes $X$ of finitely generated $R$-modules with
$H^i(X)=0$ for $i\gg0$. Then $D^-(R)$ has the structure of a tensor
triangulated category with tensor product $-\otimes_R^L-$ and unit object $R$.
In this paper, we study thick tensor ideals of $D^-(R)$, i.e., thick
subcategories closed under the tensor action by each object in $D^-(R)$, and
investigate the Balmer spectrum $Spc\,D^-(R)$ of $D^-(R)$, i.e., the set of
prime thick tensor ideals of $D^-(R)$. First, we give a complete classification
of the thick tensor ideals of $D^-(R)$ generated by bounded complexes,
establishing a generalized version of the Hopkins-Neeman smash nilpotence
theorem. Then, we define a pair of maps between the Balmer spectrum
$Spc\,D^-(R)$ and the Zariski spectrum $Spec\,R$, and study their topological
properties. After that, we compare several classes of thick tensor ideals of
$D^-(R)$, relating them to specialization-closed subsets of $Spec\,R$ and
Thomason subsets of $Spc\,D^-(R)$, and construct a counterexample to a
conjecture of Balmer. Finally, we explore thick tensor ideals of $D^-(R)$ in
the case where $R$ is a discrete valuation ring.


title:
Voltage control of magnetic anisotropy in epitaxial Ru/Co2FeAl/MgO
  heterostructures

abstract:
  Voltage control of magnetic anisotropy (VCMA) in magnetic heterostructures is
a key technology for achieving energy-efficiency electronic devices with
ultralow power consumption. Here, we report the first demonstration of the VCMA
effect in novel epitaxial Ru/Co2FeAl(CFA)/MgO heterostructures with interfacial
perpendicular magnetic anisotropy (PMA). Perpendicularly magnetized tunnel
junctions with the structure of Ru/CFA/MgO were fabricated and exhibited an
effective voltage control on switching fields for the CFA free layer. A large
VCMA coefficient of 108 (139) fJ/Vm for the CFA film was achieved at room
temperature (4 K). The interfacial stability in the heterostructure was
confirmed by repeating measurements. Temperature dependences of both the
interfacial PMA and the VCMA effect were also investigated. It is found that
the temperature dependences follow power laws of the saturation magnetization
with an exponent of ~2. The significant VCMA effect observed in this work
indicates that the Ru/CFA/MgO heterostructure could be one of the promising
candidates for spintronic devices with voltage control.


title: What Is the True Value of Dynamic TDD: A MAC Layer Perspective

abstract:
  Small cell networks (SCNs) are envisioned to embrace dynamic time division
duplexing (TDD) in order to tailor downlink (DL)/uplink (UL) subframe resources
to quick variations and burstiness of DL/UL traffic. The study of dynamic TDD
is particularly important because it provides valuable insights on the full
duplex transmission technology, which has been identified as one of the
candidate technologies for the 5th-generation (5G) networks. Up to now, the
existing works on dynamic TDD have shown that the UL of dynamic TDD suffers
from severe performance degradation due to the strong DL-to-UL interference in
the physical (PHY) layer. This conclusion raises a fundamental question:
Despite such obvious technology disadvantage, what is the true value of dynamic
TDD? In this paper, we answer this question from a media access control (MAC)
layer viewpoint and present analytical results on the DL/UL time resource
utilization (TRU) of synchronous dynamic TDD, which has been widely adopted in
the existing 4th-generation (4G) systems. Our analytical results shed new light
on the dynamic TDD in future synchronous 5G networks.


title:
WTF? Discovering the Unexpected in next-generation radio continuum
  surveys

abstract:
  Most major discoveries in astronomy have come from unplanned discoveries made
by surveying the Universe in a new way, rather than by testing a hypothesis or
conducting an investigation with planned outcomes. Next generation radio
continuum surveys such as the Evolutionary Map of the Universe (EMU: the radio
continuum survey on the new Australian SKA Pathfinder telescope), will
significantly expand the volume of observational phase space, so we can be
reasonably confident that we will stumble across unexpected new phenomena or
new types of object. However, the complexity of the instrument and the large
data volumes mean that it may be non-trivial to identify them. On the other
hand, if we don't, then we may be missing out on the most exciting science
results from EMU. We have therefore started a project called "WTF", which
explicitly aims to mine EMU data to discover unexpected science that is not
part of our primary science goals, using a variety of machine-learning
techniques and algorithms. Although targeted specifically at EMU, we expect
this approach will have broad applicability to astronomical survey data.


title: Online Learning for Wireless Distributed Computing

abstract:
  There has been a growing interest for Wireless Distributed Computing (WDC),
which leverages collaborative computing over multiple wireless devices. WDC
enables complex applications that a single device cannot support individually.
However, the problem of assigning tasks over multiple devices becomes
challenging in the dynamic environments encountered in real-world settings,
considering that the resource availability and channel conditions change over
time in unpredictable ways due to mobility and other factors. In this paper, we
formulate a task assignment problem as an online learning problem using an
adversarial multi-armed bandit framework. We propose MABSTA, a novel online
learning algorithm that learns the performance of unknown devices and channel
qualities continually through exploratory probing and makes task assignment
decisions by exploiting the gained knowledge. For maximal adaptability, MABSTA
is designed to make no stochastic assumption about the environment. We analyze
it mathematically and provide a worst-case performance guarantee for any
dynamic environment. We also compare it with the optimal offline policy as well
as other baselines via emulations on trace-data obtained from a wireless IoT
testbed, and show that it offers competitive and robust performance in all
cases. To the best of our knowledge, MABSTA is the first online algorithm in
this domain of task assignment problems and provides provable performance
guarantee.


title: Arb: Efficient Arbitrary-Precision Midpoint-Radius Interval Arithmetic

abstract:
  Arb is a C library for arbitrary-precision interval arithmetic using the
midpoint-radius representation, also known as ball arithmetic. It supports real
and complex numbers, polynomials, power series, matrices, and evaluation of
many special functions. The core number types are designed for versatility and
speed in a range of scenarios, allowing performance that is competitive with
non-interval arbitrary-precision types such as MPFR and MPC floating-point
numbers. We discuss the low-level number representation, strategies for
precision and error bounds, and the implementation of efficient polynomial
arithmetic with interval coefficients.


title: Minimal del Pezzo surfaces of degree $2$ over finite fields

abstract:
  Let $X$ be a minimal del Pezzo surface of degree $2$ over a finite field
$\mathbb{F}_q$. The image $\Gamma$ of the Galois group
$\operatorname{Gal}(\overline{\mathbb{F}}_q / \mathbb{F}_q)$ in the group
$\operatorname{Aut}(\operatorname{Pic}(\overline{X}))$ is a cyclic subgroup of
the Weyl group $W(E_7)$. There are $60$ conjugacy classes of cyclic subgroups
in $W(E_7)$ and $18$ of them correspond to minimal del Pezzo surfaces. In this
paper we study which possibilities of these subgroups for minimal del Pezzo
surfaces of degree $2$ can be achieved for given $q$.


title:
Design of an experiment to study the motion of nano-liquid helium
  droplets

abstract:
  One of the most important task in physics today is to merge quantum mechanics
and general relativity into one framework. And the main barrier in this task is
that we lack quantum gravitational phenomena in experiments. An important way
to get quantum gravitational phenomena is to study quantum effects in a
macro-scale system in which gravity will play a role. In this article, we want
to study dynamics of a possible macro-scale system: liquid helium droplets with
radius of 100nm under low temperature and low pressure. Our idea is to observe
the interference phenomenon of this system and find the similarities and
difference between it and quantum system. We gave a practical experiment design
to observe the interference, including a possible method to realize an
approximate square barrier. We also gave an illustration on what a quantum or a
classical interferogram of our system looks like theoretically.


title:
Theoretical study of the stripline ferromagnetic resonance response of
  metallic ferromagnetic films based on an analytical model

abstract:
  We develop an advanced analytical model for calculating the broadband
stripline ferromagnetic resonance (FMR) response for metallic ferromagnetic
films, taking into account the exchange interaction as well as the exchange
boundary conditions at the film surface. This approach leads to simple
analytical expressions in the Fourier space. As a result, a numerical code
which implements inverse Fourier transform of these equations is very quick.
This allows us to explore a wide space of parameters as numerical examples of
application of this theory. In particular, we investigate the joint effect of
microwave eddy current shielding and magnetisation pinning at the ferromagnetic
film surfaces on the shape of the stripline FMR response of the film.


title: A possible new family of unconventional high temperature superconductors

abstract:
  We suggest a new family of Co/Ni-based materials that may host unconventional
high temperature superconductivity (high-T$_c$). These materials carry layered
square lattices with each layer being formed by vertex-shared transition metal
tetrahedra cation-anion complexes. The electronic physics in these materials is
determined by the two dimensional layer and is fully attributed to the three
near degenerated $t_{2g}$ d-orbitals close to a $d^7$ filling configuration in
the d-shell of Co/Ni atoms . The electronic structure meets the necessary
criteria for unconventional high T$_c$ materials proposed recently by us to
unify the two known high-T$_c$ families, cuprates and iron-based
superconductors. We predict that they host superconducting states with a d-wave
pairing symmetry with T$_c$ potentially higher than those of iron-based
superconductors. These materials, if realized, can be a fertile new ground to
study strongly correlated electronic physics and provide decisive evidence for
superconducting pairing mechanism.


title:
Mobile Lattice-Coded Physical-Layer Network Coding With Practical
  Channel Alignment

abstract:
  Physical-layer network coding (PNC) is a communications paradigm that
exploits overlapped transmissions to boost the throughput of wireless relay
networks. A high point of PNC research was a theoretical proof that PNC that
makes use of lattice codes could approach the information-theoretic capacity of
a two-way relay network (TWRN), where two end nodes communicate via a relay
node. The capacity cannot be achieved by conventional methods of time-division
or straightforward network coding. Many practical challenges, however, remain
to be addressed before the full potential of lattice-coded PNC can be realized.
Two major challenges are: for good performance in lattice-coded PNC, channels
of simultaneously transmitting nodes must be aligned; for lattice-coded PNC to
be practical, the complexity of lattice encoding at the transmitters and
lattice decoding at the receiver must be reduced. We address these challenges
and implement a first lattice-coded PNC system on a software-defined radio
platform. Specifically, we design and implement a low-overhead channel
precoding system that accurately aligns the channels of distributed nodes. In
our implementation, the nodes only use low-cost temperature-compensated
oscillators---a consequent challenge is that the channel alignment must be done
more frequently and more accurately compared with the use of expensive
oscillators. The low overhead and accurate channel alignment are achieved by
(1)a channel precoding system implemented over FPGA to realize fast feedback of
channel state information; (2)a highly-accurate carrier frequency offset
estimation method; and (3)a partial-feedback channel estimation method that
significantly reduces the feedback information from the receiver to the
transmitters for channel precoding at the transmitters. To reduce lattice
encoding and decoding complexities, we adapt the low-density lattice code for
use in PNC systems.


title:
Importance of strain reduction in improvement of optical transmission
  and conductance in Si4+ doped ZnO: a probable new moisture resistant
  Transparent Conductive Oxide

abstract:
  Si doped ZnO has been reported to be a better conductor than pure ZnO. It is
reported that carrier density increases and hence conductivity increases.
However, the effect on optical transmission is yet not clear until our recent
report [1]. Zn1-xSixO for x= 0, 0.013, 0.020 and 0.027 have been synthesized
using sol-gel method (a citric acid-glycerol route) followed by solid state
sintering. We found that there is a decrease in defect states due to Si doping.
The correlation of strain to the decrement in vacancy sites is discussed in
this report. In modern electronics and solar cell fabrication, transparent
conductive oxides (TCOs) are important components which conduct electrically
without absorbing visible light. Known TCOs are extremely costly and are
composed of non-abundant elements. Search for new ecofriendly, cheap and
sustainable TCOs has been a recent research of attraction. Keeping in mind that
most solar cells are exposed to natural conditions, the humidity tolerance
becomes a determining factor. We report that sensitivity to moisture decreases
drastically while the conductivity and optical transparency increases with
doping. The reduction of strain and improvement of transport properties results
in increased conductivity of Si doped ZnO pellets, tempting us to envisage this
material as a probable alternate TCO.


title: There are many more positive maps than completely positive maps

abstract:
  A linear map between matrix spaces is positive if it maps positive
semidefinite matrices to positive semidefinite ones, and is called completely
positive if all its ampliations are positive. In this article quantitative
bounds on the fraction of positive maps that are completely positive are
proved. A main tool are real algebraic geometry techniques developed by
Blekherman to study the gap between positive polynomials and sums of squares.
Finally, an algorithm to produce positive maps which are not completely
positive is given.


title:
Old Content and Modern Tools - Searching Named Entities in a Finnish
  OCRed Historical Newspaper Collection 1771-1910

abstract:
  Named Entity Recognition (NER), search, classification and tagging of names
and name like frequent informational elements in texts, has become a standard
information extraction procedure for textual data. NER has been applied to many
types of texts and different types of entities: newspapers, fiction, historical
records, persons, locations, chemical compounds, protein families, animals etc.
In general a NER system's performance is genre and domain dependent and also
used entity categories vary (Nadeau and Sekine, 2007). The most general set of
named entities is usually some version of three partite categorization of
locations, persons and organizations. In this paper we report first large scale
trials and evaluation of NER with data out of a digitized Finnish historical
newspaper collection Digi. Experiments, results and discussion of this research
serve development of the Web collection of historical Finnish newspapers.
  Digi collection contains 1,960,921 pages of newspaper material from years
1771-1910 both in Finnish and Swedish. We use only material of Finnish
documents in our evaluation. The OCRed newspaper collection has lots of OCR
errors; its estimated word level correctness is about 70-75 % (Kettunen and
P\"a\"akk\"onen, 2016). Our principal NER tagger is a rule-based tagger of
Finnish, FiNER, provided by the FIN-CLARIN consortium. We show also results of
limited category semantic tagging with tools of the Semantic Computing Research
Group (SeCo) of the Aalto University. Three other tools are also evaluated
briefly.
  This research reports first published large scale results of NER in a
historical Finnish OCRed newspaper collection. Results of the research
supplement NER results of other languages with similar noisy data.


title:
On perturbations of an ODE with non-Lipschitz coefficients by a small
  self-similar noise

abstract:
  We study the limit behavior of differential equations with non-Lipschitz
coefficients that are perturbed by a small self-similar noise. It is proved
that the limiting process is equal to the maximal solution or minimal solution
with certain probabilities $p_+$ and $p_-=1-p_+$, respectively.
  We propose a space-time transformation that reduces the investigation of the
original problem to the study of the exact growth rate of a solution to a
certain SDE with self-similar noise. This problem is interesting in itself.
Moreover, the probabilities $p_+$ and $p_-$ coincide with probabilities that
the solution of the transformed equation converges to $+\infty$ or $-\infty$ as
$t\to\infty,$ respectively.


title: A functional limit theorem for for excited random walks

abstract:
  We consider the limit behavior of an excited random walk (ERW), i.e., a
random walk whose transition probabilities depend on the number of times the
walk has visited to the current state. We prove that an ERW being naturally
scaled converges in distribution to an excited Brownian motion that satisfies
an SDE, where the drift of the unknown process depends on its local time.
Similar result was obtained by Raimond and Schapira, their proof was based on
the Ray-Knight type theorems. We propose a new method of investigations based
on a study of the Radon-Nikodym density of the ERW distribution with respect to
the distribution of a symmetric random walk.


title: Policy-Compliant Path Diversity and Bisection Bandwidth

abstract:
  How many links can be cut before a network is bisected? What is the maximal
bandwidth that can be pushed between two nodes of a network? These questions
are closely related to network resilience, path choice for multipath routing or
bisection bandwidth estimations in data centers. The answer is quantified using
metrics such as the number of edge-disjoint paths between two network nodes and
the cumulative bandwidth that can flow over these paths. In practice though,
such calculations are far from simple due to the restrictive effect of network
policies on path selection. Policies are set by network administrators to
conform to service level agreements, protect valuable resources or optimize
network performance. In this work, we introduce a general methodology for
estimating lower and upper bounds for the policy-compliant path diversity and
bisection bandwidth between two nodes of a network, effectively quantifying the
effect of policies on these metrics. Exact values can be obtained if certain
conditions hold. The approach is based on regular languages and can be applied
in a variety of use cases.


title: Lorentz force effects for graphene Aharonov-Bohm interferometers

abstract:
  We investigate magnetic deflection of currents that flow across the
Aharonov-Bohm interferom- eters defined in graphene. We consider devices
induced by closed n-p junctions in nanoribbons as well as etched quantum rings.
The deflection effects on conductance are strictly correlated with the
properties of the ring-localized quasibound states. The energy of these states,
their lifetime and the periodicity of the conductance oscillations are
determined by orientation of the current circulating within the interferometer.
Formation of high harmonics of conductance at high magnetic field and the role
of intervalley scattering are discussed.


title:
Flavour decomposition of electromagnetic transition form factors of
  nucleon resonances

abstract:
  In Poincar\'e-covariant continuum treatments of the three valence-quark
bound-state problem, the force behind dynamical chiral symmetry breaking also
generates nonpointlike, interacting diquark correlations in the nucleon and its
resonances. We detail the impact of these correlations on the nucleon's elastic
and nucleon-to-Roper transition electromagnetic form factors, providing
flavour-separation versions that can be tested at modern facilities.


title: A unit-level small area model with misclassified covariates

abstract:
  Small area models are mixed effects regression models that link the small
areas and borrow strength from similar domains. When the auxiliary variables
used in the models are measured with error, small area estimators that ignore
the measurement error may be worse than direct estimators. Alternative small
area estimators accounting for measurement error have been proposed in the
literature but only for continuous auxiliary variables. Adopting a Bayesian
approach, we extend the unit-level model in order to account for measurement
error in both continuous and categorical covariates. For the discrete variables
we model the misclassification probabilities and estimate them jointly with all
the unknown model parameters. We test our model through a simulation study
exploring different scenarios. The impact of the proposed model is emphasized
through application to data from the Ethiopia Demographic and Health Survey
where we focus on the women's malnutrition issue, a dramatic problem in
developing countries and an important indicator of the socio-economic progress
of a country.


title: Naturalness and light higgsinos: A powerful reason to build the ILC

abstract:
  A core prediction of natural Supersymmetry is the existence of four light
higgsinos not too far above the mass of the $Z$ boson. The small mass
splittings amongst the higgsinos -- typically 5-20\,GeV -- imply very little
visible energy release from decays of heavier higgsinos. In particular, if
other SUSY particles are quite heavy, as can be the case in SUSY with
radiatively-driven naturalness, the higgsinos are extremely hard to detect at
hadron colliders. The clean environment of electron-positron colliders with
$\sqrt{s} > 2m_{\mathrm{higgsino}}$, however, would allow for a decisive search
for the required light higgsinos. Thus, $e^+e^-$ colliders should either
discover or exclude natural SUSY. We present a detailed study of higgsino pair
production at the proposed International Linear $e^+e^-$ Collider which is
under consideration for construction in Japan. A variety of precision
measurements should allow for extraction of underlying parameters and provide a
window onto physics at the grand unified scale.


title:
Simultaneous imaging of strain waves and induced magnetization dynamics
  at the nanometer scale

abstract:
  Changes in strain can be used to modify electronic and magnetic properties in
crystal structures, to manipulate nanoparticles and cells, or to control
chemical reactions. The magneto-elastic (ME) effect--the change of magnetic
properties caused by the elastic deformation (strain) of a magnetic
material--has been proposed as an alternative approach to magnetic fields for
the low power control of magnetization states of nanoelements since it avoids
charge currents, which entail ohmic losses. Multiferroic heterostructures
\cite{Zheng2004} and nanocomposites have exploited this effect in search of
electric control of magnetic states, mostly in the static regime. Quantitative
studies combining strain and magnetization dynamics are needed for practical
applications and so far, a high resolution technique for this has been lacking.
Here, we have studied the effect of the dynamic strain accompanying a surface
acoustic wave on magnetic nanostructures. We have simultaneously imaged the
temporal evolution of both strain waves and magnetization dynamics of
nanostructures at the picosecond timescale. The newly developed experimental
technique, based on X-ray microscopy, is versatile and provides a pathway to
the study of strain-induced effects at the nanoscale. Our results provide
fundamental insight in the coupling between strain and magnetization in
nanostructures at the picosecond timescale, having implications in the design
of strain-controlled magnetostrictive nano-devices.


title:
A cost-efficient variant of the incremental Newton iteration for the
  matrix $p$th root

abstract:
  Incremental Newton (IN) iteration, proposed by Iannazzo, is stable for
computing the matrix $p$th root, and its computational cost is
$\mathcal{O}(n^3p)$ flops per iteration. In this paper, a cost-efficient
variant of IN iteration is presented. The computational cost of the variant
well agrees with $\mathcal{O} (n^3 \log p)$ flops per iteration, if $p$ is up
to at least 100.


title: Weakly harmonic oscillators perturbed by a conservative noise

abstract:
  We consider a chain of weakly harmonic coupled oscillators perturbed by a
conservative noise. We show that by tuning accordingly the coupling constant
energy can diffuse like a Brownian motion or superdiffuse like a maximally
3/2-stable asymmetric L{\'e}vy process. For a critical value of the coupling,
the energy diffusion is described by a family of L{\'e}vy processes which
interpolates between these two processes.

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


title:
Nanosize effect: Enhanced compensation temperature and existence of
  magneto-dielectric coupling in SmFeO3

abstract:
  In transition metal oxides, quantum confinement arising from a large surface
to volume ratio often gives rise to novel physico-chemical properties at
nanoscale. Their size dependent properties have potential applications in
diverse areas, including therapeutics, imaging, electronic devices,
communication systems, sensors, and catalysis. We have analyzed structural,
magnetic, dielectric, and thermal properties of weakly ferromagnetic SmFeO3
nanoparticles of sizes about 55 nm and 500 nm. The nano-size particles exhibit
several distinct features that are neither observed in their larger-size
variants nor reported previously for the single crystals. In particular, for
the 55 nm particle, we observe six-fold enhancement of compensation
temperature, an unusual rise in susceptibility in the temperature range 550 to
630 K due to spin pinning, and coupled antiferromagnetic-ferroelectric
transition, directly observed in the dielectric constant.


title:
Regularity properties and simulations of Gaussian random fields on the
  Sphere cross Time

abstract:
  We study the regularity properties of Gaussian fields defined over spheres
cross time. In particular, we consider two alternative spectral decompositions
for a Gaussian field on $\mathbb{S}^d \times \mathbb{R}$. For each
decomposition, we establish regularity properties through Sobolev and
interpolation spaces. We then propose a simulation method and study its level
of accuracy in the $L^2$ sense. The method turns to be both fast and efficient.


title:
Hydrogen bonds vs. $\pi$-stacking interactions in the
  p-aminophenol...p-cresol dimer: an experimental and theoretical study

abstract:
  The gas phase structure and excited state lifetime of the
p-aminophenol...p-cresol heterodimer have been investigated by REMPI and LIF
spectroscopy with nanosecond laser pulses and pump-probe experiments with
picosecond laser pulses as a model system to study the competition between p-p
and H-bonding interactions in aromatic dimers. The excitation is a broad and
unstructured band. The excitedstate of the heterodimer is long lived (2.5 +/-
0.5) ns with a very broad fluorescence spectrum red-shifted by 4000 cm^{-1}
with respect to the excitation spectrum. Calculations at the MP2/RI-CC2 and
DFT-oB97X-D levels indicate that hydrogen-bonded (HB) and p-stacked isomers are
almost isoenergetic in the ground state while in the excited state only the
p-stacked isomer exists. This suggests that the HB isomer cannot be excited due
to negligible Franck-Condon factors and therefore the excitation spectrum is
associated with the p-stacked isomer that reaches vibrationally excited states
in the S1 state upon vertical excitation. The excited state structure is an
exciplex responsible for the fluorescence of the complex. Finally,a comparison
was performed between the p-stacked structure observed for the
p-aminophenol...p-cresol heterodimer and the HB structure reported for the
(p-cresol)2 homodimer indicating that the differences are due to different
optical properties (oscillator strengths and Franck-Condon factors) of the
isomers of both dimers and not to the interactions involved in the ground state


title:
Towards a Stateful Forwarding Abstraction to Implement Scalable Network
  Functions in Software and Hardware

abstract:
  An effective packet processing abstraction that leverages software or
hardware acceleration techniques can simplify the implementation of
high-performance virtual network functions. In this paper, we explore the
suitability of SDN switches' stateful forwarding abstractions to model
accelerated functions in both software and hardware accelerators, such as
optimized software switches and FPGA-based NICs. In particular, we select an
Extended Finite State Machine abstraction and demonstrate its suitability by
implementing the Linux's iptables interface. By doing so, we provide the
acceleration of functions such as stateful firewalls, load balancers and
dynamic NATs. We find that supporting a flow-level programming consistency
model is an important feature of a programming abstraction in this context.
Furthermore, we demonstrate that such a model simplifies the scaling of the
system when implemented in software, enabling efficient multi-core processing
without harming state consistency.


title: Lie-Access Neural Turing Machines

abstract:
  External neural memory structures have recently become a popular tool for
algorithmic deep learning (Graves et al. 2014, Weston et al. 2014). These
models generally utilize differentiable versions of traditional discrete
memory-access structures (random access, stacks, tapes) to provide the storage
necessary for computational tasks. In this work, we argue that these neural
memory systems lack specific structure important for relative indexing, and
propose an alternative model, Lie-access memory, that is explicitly designed
for the neural setting. In this paradigm, memory is accessed using a continuous
head in a key-space manifold. The head is moved via Lie group actions, such as
shifts or rotations, generated by a controller, and memory access is performed
by linear smoothing in key space. We argue that Lie groups provide a natural
generalization of discrete memory structures, such as Turing machines, as they
provide inverse and identity operators while maintaining differentiability. To
experiment with this approach, we implement a simplified Lie-access neural
Turing machine (LANTM) with different Lie groups. We find that this approach is
able to perform well on a range of algorithmic tasks.


title:
Unravelling the interplay of geometrical, magnetic and electronic
  properties of metal-doped graphene nanomeshes

abstract:
  Graphene nanomeshes (GNMs), formed by creating a superlattice of pores in
graphene, possess rich physical and chemical properties. Many of these
properties are determined by the pore geometry. In this work, we use first
principles calculations to study the magnetic and electronic properties of
metal-doped nitrogen-passivated GNMs. We find that the magnetic behaviour is
dependent on the pore shape (trigonal vs. hexagonal) as dictated by the number
of covalent bonds formed between the 3$d$ metal and the passivating N atoms. We
also find that Cr and V doped trigonal-pore GNMs, and Ti doped GNMs are the
most favourable for spintronic applications. The calculated magnetic properties
of Fe-doped GNMs compare well with recent experimental observations. The
studied systems are useful as spin filters and chemical sensors.


title: Parallel and series conduction model in Topological Insulators

abstract:
  In the past few years there has been a surge in the material science
engineering in order to synthesize bulk insulating and surface metallic
Topological Insulating (TI) materials. This quest is not only theoretically
important but also promising from the novel application perspective. The
dependence of temperature on resistance (R-T) of a particular sample reveals a
plethora of information about the electronic properties especially in a unique
sample like TI where there are two components comprising of an insulating bulk
and metallic surface states. Depending on the amount of intrinsic doping during
the sample formation, the bulk can either couple or remain decoupled with the
surface. The former leads to a metallic R-T profile whereas the latter is
captured by an insulating R-T behavior. These two behaviors can be represented
by series and parallel resistor models respectively. In this work we study the
R-T behavior in the framework of resistor models capturing the essential
features of our sample.


title: Witnessing quantum capacities of correlated channels

abstract:
  We test a general method to detect lower bounds of the quantum channel
capacity for two-qubit correlated channels. We consider in particular
correlated dephasing, depolarising and amplitude damping channels. We show that
the method is easily implementable, it does not require a priori knowledge
about the channels, and it is very efficient, since it does not rely on full
quantum process tomography.


title:
Phase stabilization of Kerr frequency comb internally without nonlinear
  optical interferometry

abstract:
  Optical frequency comb (OFC) technology has been the cornerstone for
scientific breakthroughs such as precision frequency metrology, redefinition of
time, extreme light-matter interaction, and attosecond sciences. While the
current mode-locked laser-based OFC has had great success in extending the
scientific frontier, its use in real-world applications beyond the laboratory
setting remains an unsolved challenge. Microresonator-based OFCs, or Kerr
frequency comb, have recently emerged as a candidate solution to the challenge
because of their preferable size, weight, and power consumption (SWaP). On the
other hand, the current phase stabilization technology requires either external
optical references or power-demanding nonlinear processes, overturning the SWaP
benefit of Kerr frequency combs. Introducing a new concept in phase control,
here we report an internally phase stabilized Kerr frequency comb without the
need of any optical references or nonlinear processes. We describe the comb
generation analytically with the theory of cavity induced modulation
instability, and demonstrate for the first time that the optical frequency can
be stabilized by control of two internally accessible parameters: an intrinsic
comb offset and the comb spacing. Both parameters are phase locked to microwave
references, with 55 mrad and 20 mrad residual phase noises, and the resulting
comb-to-comb frequency uncertainty is 0.08 Hz or less. Out-of-loop measurements
confirm good coherence and stability across the comb, with measured optical
frequency fractional instabilities of 5x10^-11/sqrt(t). The new phase
stabilization method preserves the Kerr frequency comb's key advantages and
potential for chip-scale electronic and photonic integration.


title:
Unusual non saturating Giant Magneto-resistance in single crystalline
  Bi2Te3 topological insulator

abstract:
  We report synthesis, structural details and electrical transport properties
of topological insulator Bi2Te3. The single crystalline specimens of Bi2Te3 are
obtained from high temperature (950C) melt and slow cooling (2C/hour). The
resultant crystals were shiny, one piece (few cm) and of bright silver color.
The Bi2Te3 crystal is found to be perfect with clear [00l] alignment. The
powder XRD pattern being carried out on crushed crystals showed that Bi2Te3
crystallized in R3m symmetry with a = b = 4.3866(2) A, c = 30.4978(13) A and
Gamma = 120degree. The Bi position is refined to (0, 0, 0.4038 (9)) at Wyckoff
position 6c and of Te are (0, 0, 0) at Wyckoff position 3a and at (0, 0,
0.2039(8)) at 6c. Ambient pressure and low temperature (down to 2K) electrical
transport measurements revealed metallic behavior. Magneto transport
measurements under magnetic field showed huge non saturating magneto resistance
(MR) reaching up to 250% at 2.5K and under 50KOe field. Summarily, the short
communication clearly demonstrates that Bi2Te3 topological insulator exhibit
non-saturating large positive MR at low temperature of say below 10K. The non
saturating MR is seen right up to room temperature albeit with much decreased
magnitude. Worth mentioning is the fact that these crystals are bulk in nature
and hence the anomalous MR is clearly an intrinsic property and not due to the
size effect as reported for nano-wires or thin films of the same.


title:
Wiener integrals with respect to the Hermite random field and
  applications to the wave equation

abstract:
  The Hermite random field has been introduced as a limit of some weighted
Hermite variations of the fractional Brownian sheet. In this work we define it
as a multiple integral with respect to the standard Brownian sheet and
introduce Wiener integrals with respect to it. As an application we study the
wave equation driven by the Hermite sheet. We prove the existence of the
solution and we study the regularity of its sample paths, the existence of the
density and of its local times. 2000 AMS Classification Numbers: 60F05, 60H05,
60G18.


title: Expected Coverage of Random Walk Mobility Algorithm

abstract:
  Unmanned aerial vehicles (UAVs) have been increasingly used for exploring
areas. Many mobility algorithms were designed to achieve a fast coverage of a
given area. We focus on analysing the expected coverage of the symmetric random
walk mobility algorithm with independent mobility. Therefore we proof the
dependence of certain events and develop Markov models, in order to provide an
analytical solution for the expected coverage. The analytic solution is
afterwards compared to those of another work and to simulation results.


title: The Little Engine that Could: Regularization by Denoising (RED)

abstract:
  Removal of noise from an image is an extensively studied problem in image
processing. Indeed, the recent advent of sophisticated and highly effective
denoising algorithms lead some to believe that existing methods are touching
the ceiling in terms of noise removal performance. Can we leverage this
impressive achievement to treat other tasks in image processing? Recent work
has answered this question positively, in the form of the Plug-and-Play Prior
($P^3$) method, showing that any inverse problem can be handled by sequentially
applying image denoising steps. This relies heavily on the ADMM optimization
technique in order to obtain this chained denoising interpretation.
  Is this the only way in which tasks in image processing can exploit the image
denoising engine? In this paper we provide an alternative, more powerful and
more flexible framework for achieving the same goal. As opposed to the $P^3$
method, we offer Regularization by Denoising (RED): using the denoising engine
in defining the regularization of the inverse problem. We propose an explicit
image-adaptive Laplacian-based regularization functional, making the overall
objective functional clearer and better defined. With a complete flexibility to
choose the iterative optimization procedure for minimizing the above
functional, RED is capable of incorporating any image denoising algorithm,
treat general inverse problems very effectively, and is guaranteed to converge
to the globally optimal result. We test this approach and demonstrate
state-of-the-art results in the image deblurring and super-resolution problems.


title: Minimum Disturbance Rewards with Maximum Possible Classical Correlations

abstract:
  Weak measurements done on a subsystem of a bipartite system having both
classical and nonClassical correlations between its components can potentially
reveal information about the other subsystem with minimal disturbance to the
overall state. We use weak quantum discord and the fidelity between the initial
bipartite state and the state after measurement to construct a cost function
that accounts for both the amount of information revealed about the other
system as well as the disturbance to the overall state. We investigate the
behaviour of the cost function for families of two qubit states and show that
there is an optimal choice that can be made for the strength of the weak
measurement.


title:
Fully-Dynamic Minimum Spanning Forest with Improved Worst-Case Update
  Time

abstract:
  We give a Las Vegas data structure which maintains a minimum spanning forest
in an n-vertex edge-weighted dynamic graph undergoing updates consisting of any
mixture of edge insertions and deletions. Each update is supported in O(n^{1/2
- c}) expected worst-case time for some constant c > 0 and this worst-case
bound holds with probability at least 1 - n^{-d} where d is a constant that can
be made arbitrarily large. This is the first data structure achieving an
improvement over the O(n^{1/2}) deterministic worst-case update time of
Eppstein et al., a bound that has been standing for nearly 25 years. In fact,
it was previously not even known how to maintain a spanning forest of an
unweighted graph in worst-case time polynomially faster than Theta(n^{1/2}).
Our result is achieved by first giving a reduction from fully-dynamic to
decremental minimum spanning forest preserving worst-case update time up to
logarithmic factors. Then decremental minimum spanning forest is solved using
several novel techniques, one of which involves keeping track of
low-conductance cuts in a dynamic graph. An immediate corollary of our result
is the first Las Vegas data structure for fully-dynamic connectivity where each
update is handled in worst-case time polynomially faster than Theta(n^{1/2})
w.h.p.; this data structure has O(1) worst-case query time.


title:
Effect of nanostructure layout on spin pumping phenomena in
  antiferromagnet/ nonmagnetic metal/ ferromagnet multilayered stacks

abstract:
  In this work we focus on magnetic relaxation in Mn$_{80}$Ir$_{20}$(12 nm)/
Cu(6 nm)/ Py($d_\mathrm{F}$) antiferromagnet/Cu/ferromagnet (AFM/Cu/FM)
multilayers with different thickness of the ferromagnetic permalloy layer. An
effective FM-AFM interaction mediated via the conduction electrons in the
nonmagnetic Cu spacer -- the spin-pumping effect -- is detected as an increase
in the linewidth of the ferromagnetic resonance (FMR) spectra and a shift of
the resonant magnetic field. We further find experimentally that the
spin-pumping-induced contribution to the linewidth is inversely proportional to
the thickness of the Py layer. We show that this thickness dependence likely
originates from the dissipative dynamics of the free and localized spins in the
AFM layer. The results obtained could be used for tailoring the dissipative
properties of spintronic devices incorporating antiferromagnetic layers.


title:
First-principles Study on Formation of LPSO Structures for Ternary
  Alloys Revisited from Short-range Order

abstract:
  We investigate the formation of long-period stacking ordered (LPSO) structure
for Mg-Y-Zn ternary alloys based on the short-range order (SRO) tendency of
energetically competitive disordered phases. We find that unisotropic SRO
tendencies for structures with stacking faults cannot be simply interpreted by
arithmetic average of SRO for constituent fcc and hcp stackings, indicating
that the SRO should be significantly affected by periodically-introduced
stacking faults. We also find that SRO for neighboring Y-Zn pair, which should
have positive sign to form specific L12 type cluster found in LPSO, is strongly
affected by the distance between stacking faults: e.g., five atomic layer
distance does not prefer in-plane Y-Zn pair, while seven atomic layer distance
prefer both in- and inter-plane Y-Zn pair. These facts strongly indicate that
ordering tendency for the Mg-Y-Zn alloy is significantly dominated by the
stacking faults as well as their periodicity. We also systematically
investigate correlation between SRO for other Mg-RE-Zn (RE = La, Tb, Dy, Ho,
Er) alloys and the physical property of RE elements. We find that while SRO for
RE-Zn pair does not show effective correlation with atomic radius, it has
strong quadratic correlation with atomic radius considering unisotoropy along
in- and inter-plane directions.


title: Universal Algebraic Methods for Constraint Satisfaction Problems

abstract:
  After substantial progress over the last 15 years, the "algebraic
CSP-dichotomy conjecture" reduces to the following: every local constraint
satisfaction problem (CSP) associated with a finite idempotent algebra is
tractable if and only if the algebra has a Taylor term operation. Despite the
tremendous achievements in this area (including recently announce proofs of the
general conjecture), there remain examples of small algebras with just a single
binary operation whose CSP resists direct classification as either tractable or
NP-complete using known methods. In this paper we present some new methods for
approaching such problems, with particular focus on those techniques that help
us attack the class of finite algebras known as "commutative idempotent binars"
(CIBs). We demonstrate the utility of these methods by using them to prove that
every CIB of cardinality at most 4 yields a tractable CSP.


title:
On the principally polarized abelian varieties that contain m-minimal
  curves

abstract:
  In this paper, we study principally polarized abelian varieties $X$ of
dimension $g$ that contain a curve $\nu:C\to X$ such that the class of $C$ is
$m$ times the minimal class. Welters introduced the formalism of stable pairs
to handle this problem in the case $m=2$. We generalize the results of Welters
and construct families of principally polarized abelian varieties for any $m$
and compute the dimension of the locus of these abelian varieties.