title:
The SEEDS High Contrast Imaging Survey of Exoplanets around Young
  Stellar Objects

abstract:
  We present high-contrast observations of 68 young stellar objects (YSOs)
explored as part of the SEEDS survey on the Subaru telescope. Our targets are
very young ($<$10 Myr) stars, which often harbor protoplanetary disks where
planets may be forming. We achieve a typical contrast of
$\sim$$10^{-4}$--$10^{-5.5}$ at an angular distance of 1\arcsec\ from the
central star, corresponding to typical mass sensitivities (assuming hot-start
evolutionary models) of $\sim$10 ${\rm M_J}$ at 70 AU and $\sim$6 ${\rm M_J}$
at 140 AU. We detected a new stellar companion to HIP 79462 and confirmed the
substellar objects GQ Lup b and ROXs 42B b. An additional six companion
candidates await follow-up observations to check for common proper motion. Our
SEEDS YSO observations probe the population of planets and brown dwarfs at the
very youngest ages; these may be compared to the results of surveys targeting
somewhat older stars. Our sample and the associated observational results will
help enable detailed statistical analyses of giant planet formation.


title:
Dynamical quantum phase transitions: Role of topological nodes in
  wavefunction overlaps

abstract:
  A sudden quantum quench of a Bloch band from one topological phase toward
another has been shown to exhibit an intimate connection with the notion of a
dynamical quantum phase transition (DQPT), where the returning probability of
the quenched state to the initial state---i.e. the Loschmidt echo---vanishes at
critical times $\{t^{*}\}$. Analytical results so far are limited to two-band
models, leaving the exact relation between topology and DQPT unclear. In this
work, we show that for a general multi-band system, a robust DQPT relies on the
existence of nodes (i.e. zeros) in the wavefunction overlap between the initial
band and the post-quench energy eigenstates. These nodes are topologically
protected if the two participating wavefunctions have distinctive topological
indices. We demonstrate these ideas in detail for both one and two spatial
dimensions using a three-band generalized Hofstadter model. We also discuss
possible experimental observations.


title:
Distributed interference management using Q-Learning in Cognitive
  Femtocell networks: New USRP-based Implementation

abstract:
  Femtocell networks have become a promising solution in supporting high data
rates for 5G systems, where cell densification is performed using the small
femtocells. However, femtocell networks have many challenges. One of the major
challenges of femtocell networks is the interference management problem, where
deployment of femtocells in the range of macro-cells may degrade the
performance of the macrocell. In this paper, we develop a new platform for
studying interference management in distributed femtocell networks using
reinforcement learning approach. We design a complete MAC protocol to perform
distributed power allocation using Q-Learning algorithm, where both independent
and cooperative learning approaches are applied across network nodes. The
objective of the Q-Learning algorithms is to maximize aggregate femtocells
capacity, while maintaining the QoS for the Macrocell users. Furthermore, we
present the realization of the algorithms using GNURadio and USRP platforms.
Performance evaluation are conducted in terms of macrocell capacity convergence
to a target capacity and improvement of aggregate femtocells capacity.


title: Algebraic K-Theory and Modular Symbols

abstract:
  In this paper, we calculate the differential $d^1$ of the rank spectral
sequence. We generalize Quillen's spectral sequence from Dedekind domain to
general integral Noetherian ring $A$ by considering the Q-construction
$Q^{tf}(A)$ of the category of finitely generated torsion-free modules. In
particular, by resolution theorem, if $A$ is regular, then $Q^{tf}(A)$ is
homotopy equivalent to $QP(A)$ where $P(A)$ is the category of finitely
generated projective $A$-modules. We deduce the differential $d^1$ by using
Tits buildings, Steinberg modules, and modular symbols in the sense of
Ash-Rudolph. The spirit of Quillen's categorical homotopy theory will be used
intensively throughout this paper.


title: Pure Gravitational Dark Matter, Its Mass and Signatures

abstract:
  In this study, we investigate a scenario that dark matter (DM) has only
gravitational interaction. In the framework of effective field theory of
gravity, we find that DM is still stable at tree level even if there is no
symmetry to protect its longevity, but could decay into standard model
particles due to gravitational loop corrections. The radiative corrections can
lead to both higher- and lower-dimensional effective operators. We also first
explore how DM can be produced in the early universe. Through gravitational
interaction at high temperature, DM is then found to have mass around TeV
$\lesssim m_X \lesssim 10^{11}$GeV to get the right relic abundance. When DM
decays, it mostly decays into gravitons, which could be tested by current and
future CMB experiments. We also estimate the resulting fluxes for cosmic rays,
gamma-ray and neutrino.


title:
Quantum corrections to the thermodynamics of Schwarzschild-Tangherlini
  black hole and the generalized uncertainty principle

abstract:
  We investigate the thermodynamics of the Schwarzschild-Tangherlini black hole
in the context of the generalized uncertainty principle (GUP). The corrections
to the Hawking temperature, entropy and the heat capacity are obtained via the
modified Hamilton-Jacobi equation. These modifications show that the GUP
changes the evolution of the Schwarzschild-Tangherlini black hole. Specially,
the GUP effect becomes susceptible when the radius or mass of the black hole
approaches the order of Planck scale, it stops radiating and leads to black
hole remnant. Meanwhile, the Planck scale remnant can be confirmed through the
analysis of the heat capacity. Those phenomena imply that the GUP may give a
way to solve the information paradox. Besides, we also investigate the
possibilities to observe the black hole at the Large Hadron Collider (LHC), and
the results demonstrate that the black hole cannot be produced in the recent
LHC.


title: Meson spectroscopy in a confining theory via AdS/CFT

abstract:
  Instanton effects may have implications for hadronization of quark-gluon
plasma as it cools. Here we study dispersion relations of mesons in a strongly
coupled plasma with an instanton background present. It will be shown that at
higher energies the instanton effect diminishes and some comments on the
limiting velocity of mesons in the plasma. the profile function of mesons on
the gravity side is considered also because of its relevance to energy loss of
quark in plasma.


title:
Breaking a "poor man" RG approach in the Luttinger liquid with one
  impurity

abstract:
  Using derived previously effective theory we explore conductance in the
Luttinger model with one impurity.
  A new approach to the renormalization group (RG) analysis of this model is
developed. It is based on the original Gell-Mann-Low formulation of RG. We sum
up infrared logarithmic contibutions to conductance in the leading and few
subsequent approximations. We analyze the validity of widely used ``poor
man's'' scaling approach and find that it is applicable only in the leading
approximation. Our results for corrections to this approximation are different
from results obtained in other papers.
  It should be expected beforehand, as Gell-Mann-Low function of the model is
not regularization scheme invariant. For this reason the observed quantity
(e.g., conductance) can not satisfy the Gell-Mann-Low equation beyond the
"leading-log"\ approximation as it is supposed in the "poor man's" approach.
  We formulate the method to calculate the conductance from renormalized
hamiltonian in the post-leading approximations and match results to the case of
weak impurity where the answer is known in any order in electron-electron
interaction.


title:
Referenced Publication Year Spectroscopy (RPYS) and Algorithmic
  Historiography: The Bibliometric Reconstruction of Andr\'as Schubert's
  {\OE}uvre

abstract:
  Referenced Publication Year Spectroscopy (RPYS) was recently introduced as a
method to analyze the historical roots of research fields and groups or
institutions. RPYS maps the distribution of the publication years of the cited
references in a document set. In this study, we apply this methodology to the
{\oe}uvre of an individual researcher on the occasion of a Festschrift for
Andr\'as Schubert's 70th birthday. We discuss the different options of RPYS in
relation to one another (e.g. Multi-RPYS), and in relation to the longer-term
research program of algorithmic historiography (e.g., HistCite) based on
Schubert's publications (n=172) and cited references therein as a bibliographic
domain in scientometrics. Main path analysis and Multi-RPYS of the citation
network are used to show the changes and continuities in Schubert's
intellectual career. Diachronic and static decomposition of a document set can
lead to different results, while the analytically distinguishable lines of
research may overlap and interact over time, and intermittent.


title:
DS-MLR: Exploiting Double Separability for Scaling up Distributed
  Multinomial Logistic Regression

abstract:
  Scaling multinomial logistic regression to datasets with very large number of
data points and classes is challenging. This is primarily because one needs to
compute the log-partition function on every data point. This makes distributing
the computation hard. In this paper, we present a distributed stochastic
gradient descent based optimization method (DS-MLR) for scaling up multinomial
logistic regression problems to massive scale datasets without hitting any
storage constraints on the data and model parameters. Our algorithm exploits
double-separability, an attractive property that allows us to achieve both data
as well as model parallelism simultaneously. In addition, we introduce a
non-blocking and asynchronous variant of our algorithm that avoids
bulk-synchronization. We demonstrate the versatility of DS-MLR to various
scenarios in data and model parallelism, through an extensive empirical study
using several real-world datasets. In particular, we demonstrate the
scalability of DS-MLR by solving an extreme multi-class classification problem
on the Reddit dataset (159 GB data, 358 GB parameters) where, to the best of
our knowledge, no other existing methods apply.


title: Approximation Algorithms for Max-Morse Matching

abstract:
  In this paper, we prove that the Max-Morse Matching Problem is approximable,
thus resolving an open problem posed by Joswig and Pfetsch. We describe two
different approximation algorithms for the Max-Morse Matching Problem. For
$D$-dimensional simplicial complexes, we obtain a
$\frac{(D+1)}{(D^2+D+1)}$-factor approximation ratio using a simple edge
reorientation algorithm that removes cycles. Our second result is an algorithm
that provides a $\frac{2}{D}$-factor approximation for simplicial manifolds by
processing the simplices in increasing order of dimension. One application of
these algorithms is towards efficient homology computation of simplicial
complexes. Experiments using a prototype implementation on several datasets
indicate that the algorithm computes near optimal results.


title:
Beyond the upper limit of magnetic anisotropy in two-dimensional
  transition metal dichalcogenides

abstract:
  Exploring an upper limit of magnetic anisotropy in two-dimensional materials,
such as graphene and transition metal dichalcogenides, is at the heart of
spintronics research. Herein, an atomic-scale perpendicular magnetic anisotropy
up to an order of 100 meV per atom, which is far beyond the ordinarily obtained
value in graphene and pristine transition metal dichalcogenides, is
demonstrated in individual ruthenium and osmium adatoms at a monosulfur vacancy
in molybdenum disulfide. We further propose a phenomenological model where a
spin state transition that involves hybridization between molybdenum a1 and
adatomic e' orbitals is a possible mechanism for magnetization reorientation.


title:
Heavy Pseudoscalar Twist-3 Distribution Amplitudes within QCD Theory in
  Background Fields

abstract:
  In this paper, we study the properties of the twist-3 distribution amplitude
(DA) of the heavy pseudo-scalars such as $\eta_c$, $B_c$ and $\eta_b$. New sum
rules for the twist-3 DA moments $\left<\xi^n_P\right>_{\rm HP}$ and
$\left<\xi^n_\sigma\right>_{\rm HP}$ up to sixth orders and up to dimension-six
condensates are deduced under the framework of the background field theory.
Based on the sum rules for the twist-3 DA moments, we construct a new model for
the two twist-3 DAs of the heavy pseudo-scalar with the help of the
Brodsky-Huang-Lepage prescription. Furthermore, we apply them to the
$B_c\to\eta_c$ transition form factor ($f^{B_c\to\eta_c}_+(q^2)$) within the
light-cone sum rules approach, and the results are comparable with other
approaches. It has been found that the twist-3 DAs $\phi^P_{3;\eta_c}$ and
$\phi^\sigma_{3;\eta_c}$ are important for a reliable prediction of
$f^{B_c\to\eta_c}_+(q^2)$. For example, at the maximum recoil region, we have
$f^{B_c\to\eta_c}_+(0) = 0.674 \pm 0.066$, in which those two twist-3 terms
provide $\sim33\%$ and $\sim22\%$ contributions. Also we calculate the
branching ratio of the semi-leptonic decay $B_c \to\eta_c l\nu$ as $Br(B_c
\to\eta_c l\nu) = \left( 9.31^{+2.27}_{-2.01} \right) \times 10^{-3}$.


title:
Study of Magnetic Hysteresis Effects in a Storage Ring Using Precision
  Tune Measurement

abstract:
  With advances in accelerator science and technology in the recent decades,
the accelerator community has focused on the development of next-generation
light sources, for example the diffraction-limited storage rings (DLSRs), which
requires precision control of the electron beam energy and betatron tunes. This
work is aimed at understanding magnet hysteresis effects on the electron beam
energy and lattice focusing in the circular accelerators, and developing new
methods to gain better control of these effects. In this paper, we will report
our recent experimental study of the magnetic hysteresis effects and their
impacts on the Duke storage ring lattice using the transverse feedback based
precision tune measurement system. The major magnet hysteresis effects
associated with magnet normalization and lattice ramping are carefully studied
to determine an effective procedure for lattice preparation while maintaining a
high degree of reproducibility of lattice focusing. The local hysteresis
effects are also studied by measuring the betatron tune shifts resulted from
adjusting the setting of a quadrupole. A new technique has been developed to
precisely recover the focusing strength of the quadrupole by returning it to a
proper setting to overcome the local hysteresis effect.


title:
Transdisciplinarity seen through Information, Communication,
  Computation, (Inter-)Action and Cognition

abstract:
  Similar to oil that acted as a basic raw material and key driving force of
industrial society, information acts as a raw material and principal mover of
knowledge society in the knowledge production, propagation and application. New
developments in information processing and information communication
technologies allow increasingly complex and accurate descriptions,
representations and models, which are often multi-parameter, multi-perspective,
multi-level and multidimensional. This leads to the necessity of collaborative
work between different domains with corresponding specialist competences,
sciences and research traditions. We present several major transdisciplinary
unification projects for information and knowledge, which proceed on the
descriptive, logical and the level of generative mechanisms. Parallel process
of boundary crossing and transdisciplinary activity is going on in the applied
domains. Technological artifacts are becoming increasingly complex and their
design is strongly user-centered, which brings in not only the function and
various technological qualities but also other aspects including esthetic, user
experience, ethics and sustainability with social and environmental dimensions.
When integrating knowledge from a variety of fields, with contributions from
different groups of stakeholders, numerous challenges are met in establishing
common view and common course of action. In this context, information is our
environment, and informational ecology determines both epistemology and spaces
for action. We present some insights into the current state of the art of
transdisciplinary theory and practice of information studies and informatics.
We depict different facets of transdisciplinarity as we see it from our
different research fields that include information studies, computability,
human-computer interaction, multi-operating-systems environments and
philosophy.


title:
On the existence of the optimal order for wavefunction extrapolation in
  Born-Oppenheimer molecular dynamics

abstract:
  Wavefunction extrapolation greatly reduces the number of self-consistent
field (SCF) iterations and thus the overall computational cost of
Born-Oppenheimer molecular dynamics (BOMD) that is based on the Kohn-Sham
density functional theory. Going against the intuition that the higher order of
extrapolation possesses a better accuracy, we demonstrate, from both
theoretical and numerical perspectives, that the extrapolation accuracy firstly
increases and then decreases with respect to the order, and an optimal
extrapolation order in terms of minimal number of SCF iterations always exists.
We also prove that the optimal order tends to be larger when using larger MD
time steps or more strict SCF convergence criteria. By example BOMD simulations
of a solid copper system, we show that the optimal extrapolation order covers a
broad range when varying the MD time step or the SCF convergence criterion.
Therefore, we suggest the necessity for BOMD simulation packages to open the
user interface and to provide more choices on the extrapolation order. Another
factor that may influence the extrapolation accuracy is the alignment scheme
that eliminates the discontinuity in the wavefunctions with respect to the
atomic or cell variables. We prove the equivalence between the two existing
schemes, thus the implementation of either of them does not lead to essential
difference in the extrapolation accuracy.


title:
Two Stochastic Optimization Algorithms for Convex Optimization with
  Fixed Point Constraints

abstract:
  Two optimization algorithms are proposed for solving a stochastic programming
problem for which the objective function is given in the form of the
expectation of convex functions and the constraint set is defined by the
intersection of fixed point sets of nonexpansive mappings in a real Hilbert
space. This setting of fixed point constraints enables consideration of the
case in which the projection onto each of the constraint sets cannot be
computed efficiently. Both algorithms use a convex function and a nonexpansive
mapping determined by a certain probabilistic process at each iteration. One
algorithm blends a stochastic gradient method with the Halpern fixed point
algorithm. The other is based on a stochastic proximal point algorithm and the
Halpern fixed point algorithm; it can be applied to nonsmooth convex
optimization. Convergence analysis showed that, under certain assumptions, any
weak sequential cluster point of the sequence generated by either algorithm
almost surely belongs to the solution set of the problem. Convergence rate
analysis illustrated their efficiency, and the numerical results of convex
optimization over fixed point sets demonstrated their effectiveness.


title:
A Bloch decomposition-based stochastic Galerkin method for quantum
  dynamics with a random external potential

abstract:
  In this paper, we consider the numerical solution of the one-dimensional
Schr\"odinger equation with a periodic lattice potential and a random external
potential. This is an important model in solid state physics where the
randomness is involved to describe some complicated phenomena that are not
exactly known. Here we generalize the Bloch decomposition-based time-splitting
pseudospectral method to the stochastic setting using the generalize polynomial
chaos with a Galerkin procedure so that the main effects of dispersion and
periodic potential are still computed together. We prove that our method is
unconditionally stable and numerical examples show that it has other nice
properties and is more efficient than the traditional method. Finally, we give
some numerical evidence for the well-known phenomenon of Anderson localization.


title:
Multi-peak solutions for nonlinear Choquard equation with a general
  nonlinearity

abstract:
  In this paper, we study a class of nonlinear Choquard type equations
involving a general nonlinearity. By using the method of penalization argument,
we show that there exists a family of solutions having multiple concentration
regions which concentrate at the minimum points of the potential $V$. Moreover,
the monotonicity of $f(s)/s$ and the so-called Ambrosetti-Rabinowitz condition
are not required.


title:
Requirements Evolution and Evolution Requirements with Constrained Goal
  Models

abstract:
  We are interested in supporting software evolution caused by changing
requirements and/or environmental settings. For example, users of a system may
require new functionality (changing requirements), or performance enhancements
to cope with growing user population. Specifically, we propose to use goal
models to capture such changes, and exploit reasoning techniques that derive
optimal new specifications for a system whose requirements and/or environment
have changed. Moreover, we are interested in discovering new classes of
evolution requirements, for example, that give preference to evolutions that
minimize implementation effort for the implementation of the evolution. To
address both of these problems, we exploit Constraint Goal Models (CGMs) an
expressive language for modelling goals that comes with scalable solvers that
can solve hybrid constraint and optimization problems using a combination of
Satisfiability Modulo Theories (SMT) and Optimization Modulo Theories (OMT)
solvers. We evaluate our proposal by modeling and reasoning with a goal model
for meeting scheduling.


title:
Edge states of hydrogen terminated monolayer materials: silicene,
  germanene and stanene ribbons

abstract:
  We investigate the energy dispersion of the edge states in zigzag silicene,
germanene and stanene nanoribbons with and without hydrogen termination based
on a multi-orbital tight-binding model. Since the low buckled structures are
crucial for these materials, both the $\pi$ and $\sigma$ orbitals have a strong
influence on the edge states, different from the case for graphene nanoribbons.
The obtained dispersion of helical edge states is nonlinear, similar to that
obtained by first-principles calculations. On the other hand, the dispersion
derived from the single-orbital tight-binding model is always linear.
Therefore, we find that the non-linearity comes from the multi-orbital effects,
and accurate results cannot be obtained by the single-orbital model but can be
obtained by the multi-orbital tight-binding model. We show that the
multi-orbital model is essential for correctly understanding the dispersion of
the edge states in tetragen nanoribbons with a low buckled geometry.


title:
Scalar field as an intrinsic time measure in coupled dynamical
  matter-geometry systems. II. Electrically charged gravitational collapse

abstract:
  Investigating the dynamics of gravitational systems, especially in the regime
of quantum gravity, poses a problem of measuring time during the evolution. One
of the approaches to this issue is using one of the internal degrees of freedom
as a time variable. The objective of our research was to check whether a scalar
field or any other dynamical quantity being a part of a coupled multi-component
matter-geometry system can be treated as a `clock' during its evolution. We
investigated a collapse of a self-gravitating electrically charged scalar field
in the Einstein and Brans-Dicke theories using the 2+2 formalism. Our findings
concentrated on the spacetime region of high curvature existing in the vicinity
of the emerging singularity, which is essential for the quantum gravity
applications. We investigated several values of the Brans-Dicke coupling
constant and the coupling between the Brans-Dicke and the electrically charged
scalar fields. It turned out that both evolving scalar fields and a function
which measures the amount of electric charge within a sphere of a given radius
can be used to quantify time nearby the singularity in the dynamical spacetime
part, in which the apparent horizon surrounding the singularity is spacelike.
Using them in this respect in the asymptotic spacetime region is possible only
when both fields are present in the system and, moreover, they are coupled to
each other. The only nonzero component of the Maxwell field four-potential
cannot be used to quantify time during the considered process in the
neighborhood of the whole central singularity. None of the investigated
dynamical quantities is a good candidate for measuring time nearby the Cauchy
horizon, which is also singular due to the mass inflation phenomenon.


title: On a variant of Pillai's problem

abstract:
  In this paper, we find all integers $c$ having at least two representations
as a difference between a Fibonacci number and a Tribonacci number.


title:
Effective Resolution of Diophantine equations of the form $u_n+u_m=w
  p_1^{z_1} \cdots p_s^{z_s}$

abstract:
  Let $u_n$ be a fixed non-degenerate binary recurrence sequence with positive
discriminant, $w$ a fixed non-zero integer and $p_1,p_2,\dots,p_s$ fixed,
distinct prime numbers.
  In this paper we consider the Diophantine equation $u_n+u_m=w p_1^{z_1}
\cdots p_s^{z_s}$ and prove under mild technical restrictions effective
finiteness results. In particular we give explicit upper bounds for $n,m$ and
$z_1, \dots, z_s$. Furthermore, we provide a rather efficient algorithm to
solve Diophantine equations of the described type and we demonstrate our method
by an example.


title:
An artificial intelligence tool for heterogeneous team formation in the
  classroom

abstract:
  Nowadays, there is increasing interest in the development of teamwork skills
in the educational context. This growing interest is motivated by its
pedagogical effectiveness and the fact that, in labour contexts, enterprises
organize their employees in teams to carry out complex projects. Despite its
crucial importance in the classroom and industry, there is a lack of support
for the team formation process. Not only do many factors influence team
performance, but the problem becomes exponentially costly if teams are to be
optimized. In this article, we propose a tool whose aim it is to cover such a
gap. It combines artificial intelligence techniques such as coalition structure
generation, Bayesian learning, and Belbin's role theory to facilitate the
generation of working groups in an educational context. This tool improves
current state of the art proposals in three ways: i) it takes into account the
feedback of other teammates in order to establish the most predominant role of
a student instead of self-perception questionnaires; ii) it handles uncertainty
with regard to each student's predominant team role; iii) it is iterative since
it considers information from several interactions in order to improve the
estimation of role assignments. We tested the performance of the proposed tool
in an experiment involving students that took part in three different team
activities. The experiments suggest that the proposed tool is able to improve
different teamwork aspects such as team dynamics and student satisfaction.


title:
Where is the global corporate elite? A large-scale network study of
  local and nonlocal interlocking directorates

abstract:
  Business elites reconfigure their locus of organization over time, from the
city level, to the national level, and beyond. We ask what the current level of
elite organization is and propose a novel theoretical and empirical approach to
answer this question. Building on the universal distinction between local and
nonlocal ties we use network analysis and community detection to dissect the
global network of interlocking directorates among over five million firms. We
find that elite orientation is indeed changing from the national to the
transnational plane, but we register a considerable heterogeneity across
different regions in the world. In some regions the business communities are
organized along national borders, whereas in other areas the locus of
organization is at the city level or international level. London dominates the
global corporate elite network. Our findings underscore that the study of
corporate elites requires an approach that is sensitive to levels of
organization that go beyond the confines of nation states.


title:
Hacking in the Blind: (Almost) Invisible Runtime UI Attacks on
  Safety-Critical Terminals

abstract:
  Many terminals are used in safety-critical operations in which humans,
through terminal user interfaces, become a part of the system control loop
(e.g., medical and industrial systems). These terminals are typically embedded,
single-purpose devices with restricted functionality, sometimes air-gapped and
increasingly hardened.
  We describe a new way of attacking such terminals in which an adversary has
only temporary, non-invasive, physical access to the terminal. In this attack,
the adversary attaches a small device to the interface that connects user input
peripherals to the terminal. The device executes the attack when the authorized
user is performing safety-critical operations, by modifying or blocking user
input, or injecting new input events.
  Given that the attacker has access to user input, the execution of this
attack might seem trivial. However, to succeed, the attacker needs to overcome
a number of challenges including the inability to directly observe the user
interface and avoid being detected by the users. We present techniques that
allow user interface state and input tracking. We evaluate these techniques and
show that they can be implemented efficiently. We further evaluate the
effectiveness of our attack through an online user study and find input
modification attacks that are hard for the users to detect and would therefore
lead to serious violations of the input integrity.


title: Automatic Segmentation of Dynamic Objects from an Image Pair

abstract:
  Automatic segmentation of objects from a single image is a challenging
problem which generally requires training on large number of images. We
consider the problem of automatically segmenting only the dynamic objects from
a given pair of images of a scene captured from different positions. We exploit
dense correspondences along with saliency measures in order to first localize
the interest points on the dynamic objects from the two images. We propose a
novel approach based on techniques from computational geometry in order to
automatically segment the dynamic objects from both the images using a top-down
segmentation strategy. We discuss how the proposed approach is unique in
novelty compared to other state-of-the-art segmentation algorithms. We show
that the proposed approach for segmentation is efficient in handling large
motions and is able to achieve very good segmentation of the objects for
different scenes. We analyse the results with respect to the manually marked
ground truth segmentation masks created using our own dataset and provide key
observations in order to improve the work in future.


title:
Unanimously acceptable agreements for negotiation teams in unpredictable
  domains

abstract:
  A negotiation team is a set of agents with common and possibly also
conflicting preferences that forms one of the parties of a negotiation. A
negotiation team is involved in two decision making processes simultaneously, a
negotiation with the opponents, and an intra-team process to decide on the
moves to make in the negotiation. This article focuses on negotiation team
decision making for circumstances that require unanimity of team decisions.
Existing agent-based approaches only guarantee unanimity in teams negotiating
in domains exclusively composed of predictable and compatible issues. This
article presents a model for negotiation teams that guarantees unanimous team
decisions in domains consisting of predictable and compatible, and also
unpredictable issues. Moreover, the article explores the influence of using
opponent, and team member models in the proposing strategies that team members
use. Experimental results show that the team benefits if team members employ
Bayesian learning to model their teammates' preferences.


title:
The occurrence of a Mott-like gap in single-particle spectra of electron
  systems possessing flat bands

abstract:
  An unconventional type of the Mott's insulators where the gap in the spectrum
of single-particle excitations is associated with repulsive effective
interactions between quasiparticles is shown to exist in strongly correlated
electron systems of solids that possess flat bands. The occurrence of this gap
is demonstrated to be the consequence of violation of particle-hole symmetry,
inherent in such systems. The results obtained are applied to elucidate the
Fermi arc structure observed at temperatures up to $100\,$ K in angle-resolved
photoemission spectra of the compound Sr$_2$IrO$_4$, not showing
superconductivity down to low $T$.


title:
Tasks for agent-based negotiation teams: Analysis, review, and
  challenges

abstract:
  An agent-based negotiation team is a group of interdependent agents that join
together as a single negotiation party due to their shared interests in the
negotiation at hand. The reasons to employ an agent-based negotiation team may
vary: (i) more computation and parallelization capabilities, (ii) unite agents
with different expertise and skills whose joint work makes it possible to
tackle complex negotiation domains, (iii) the necessity to represent different
stakeholders or different preferences in the same party (e.g., organizations,
countries, and married couple). The topic of agent-based negotiation teams has
been recently introduced in multi-agent research. Therefore, it is necessary to
identify good practices, challenges, and related research that may help in
advancing the state-of-the-art in agent-based negotiation teams. For that
reason, in this article we review the tasks to be carried out by agent-based
negotiation teams. Each task is analyzed and related with current advances in
different research areas. The analysis aims to identify special challenges that
may arise due to the particularities of agent-based negotiation teams.


title:
Reaching Unanimous Agreements Within Agent-Based Negotiation Teams With
  Linear and Monotonic Utility Functions

abstract:
  In this article, an agent-based negotiation model for negotiation teams that
negotiate a deal with an opponent is presented. Agent-based negotiation teams
are groups of agents that join together as a single negotiation party because
they share an interest that is related to the negotiation process. The model
relies on a trusted mediator that coordinates and helps team members in the
decisions that they have to take during the negotiation process: which offer is
sent to the opponent, and whether the offers received from the opponent are
accepted. The main strength of the proposed negotiation model is the fact that
it guarantees unanimity within team decisions since decisions report a utility
to team members that is greater than or equal to their aspiration levels at
each negotiation round. This work analyzes how unanimous decisions are taken
within the team and the robustness of the model against different types of
manipulations. An empirical evaluation is also performed to study the impact of
the different parameters of the model.


title: SIMPL: A DSL for Automatic Specialization of Inference Algorithms

abstract:
  Inference algorithms in probabilistic programming languages (PPLs) can be
thought of as interpreters, since an inference algorithm traverses a model
given evidence to answer a query. As with interpreters, we can improve the
efficiency of inference algorithms by compiling them once the model, evidence
and query are known. We present SIMPL, a domain specific language for inference
algorithms, which uses this idea in order to automatically specialize annotated
inference algorithms. Due to the approach of specialization, unlike a
traditional compiler, with SIMPL new inference algorithms can be added easily,
and still be optimized using domain-specific information. We evaluate SIMPL and
show that partial evaluation gives a 2-6x speedup, caching provides an
additional 1-1.5x speedup, and generating C code yields an additional 13-20x
speedup, for an overall speedup of 30-150x for several inference algorithms and
models.


title:
Evolutionary-aided negotiation model for bilateral bargaining in Ambient
  Intelligence domains with complex utility functions

abstract:
  Ambient Intelligence aims to offer personalized services and easier ways of
interaction between people and systems. Since several users and systems may
coexist in these environments, it is quite possible that entities with opposing
preferences need to cooperate to reach their respective goals. Automated
negotiation is pointed as one of the mechanisms that may provide a solution to
this kind of problems. In this article, a multi-issue bilateral bargaining
model for Ambient Intelligence domains is presented where it is assumed that
agents have computational bounded resources and do not know their opponents'
preferences. The main goal of this work is to provide negotiation models that
obtain efficient agreements while maintaining the computational cost low. A
niching genetic algorithm is used before the negotiation process to sample
one's own utility function (self-sampling). During the negotiation process,
genetic operators are applied over the opponent's and one's own offers in order
to sample new offers that are interesting for both parties. Results show that
the proposed model is capable of outperforming similarity heuristics which only
sample before the negotiation process and of obtaining similar results to
similarity heuristics which have access to all of the possible offers.


title: Constraints on Sterile Neutrino Oscillations using DUNE Near Detector

abstract:
  DUNE (Deep Underground Neutrino Experiment) is a proposed long-baseline
neutrino experiment in the US with a baseline of 1300 km from Fermi National
Accelerator Laboratory (Fermilab) to Sanford Underground Research Facility,
which will house a 40 kt Liquid Argon Time Projection Chamber (LArTPC) as the
far detector. The experiment will also have a fine grained near detector for
accurately measuring the initial fluxes. We show that the energy range of the
fluxes and baseline of the DUNE near detector is conducive for observing
$\nu_\mu \to \nu_e$ oscillations of $\Delta m^2 \sim$ eV$^2$ scale sterile
neutrinos, and hence can be effectively used for testing to very high accuracy
the reported oscillation signal seen by the LSND and MiniBooNE experiments. We
study the sensitivity of the DUNE near detector to sterile neutrino
oscillations by varying the baseline, detector fiducial mass and systematic
uncertainties. We find that the detector mass and baseline of the currently
proposed near detector at DUNE will be able to test the entire LSND parameter
region with good precision. The dependence of sensitivity on baseline and
detector mass is seen to give interesting results, while dependence on
systematic uncertainties is seen to be small.


title:
Stable Exponential Random Graph Models with Non-parametric Components
  for Large Dense Networks

abstract:
  Exponential Random Graph Models (ERGM) behave peculiar in large networks with
thousand(s) of actors (nodes). Standard models containing two-star or triangle
counts as statistics are often unstable leading to completely full or empty
networks. Moreover, numerical methods break down which makes it complicated to
apply ERGMs to large networks. In this paper we propose two strategies to
circumvent these obstacles. First, we fit a model to a subsampled network and
secondly, we show how linear statistics (like two-stars etc.) can be replaced
by smooth functional components. These two steps in combination allow to fit
stable models to large network data, which is illustrated by a data example
including a residual analysis.


title: Symplectic Involutions, quadratic pairs and function fields of conics

abstract:
  In this paper we study symplectic involutions and quadratic pairs that become
hyperbolic over the function field of a conic. In particular, we classify them
in degree 4 and deduce results on 5 dimensional minimal quadratic forms, thus
extending to arbitrary fields some results of [24], which were only known in
characteristic different from 2.


title:
Quasinormal modes of a black hole with a cloud of strings in
  Einstein-Gauss-Bonnet gravity

abstract:
  The quasinormal modes for a scalar field in the background spacetime
corresponding to a black hole, with a cloud of strings, in
Einstein-Gauss-Bonnet gravity, and the tensor quasinormal modes corresponding
to perturbations in such spacetime, were both calculated using the WKB
approximation. In the obtained results we emphasize the role played by the
parameter associated with the string cloud, comparing them with the results
already obtained for the Boulware-Deser metric. We also study how the
Gauss-Bonnet correction to general relativity affects the results for the
quasinormal modes, comparing them with the same background in general
relativity.


title: Fundamental Limits of Pooled-DNA Sequencing

abstract:
  In this paper, fundamental limits in sequencing of a set of closely related
DNA molecules are addressed. This problem is called pooled-DNA sequencing which
encompasses many interesting problems such as haplotype phasing, metageomics,
and conventional pooled-DNA sequencing in the absence of tagging. From an
information theoretic point of view, we have proposed fundamental limits on the
number and length of DNA reads in order to achieve a reliable assembly of all
the pooled DNA sequences. In particular, pooled-DNA sequencing from both
noiseless and noisy reads are investigated in this paper. In the noiseless
case, necessary and sufficient conditions on perfect assembly are derived.
Moreover, asymptotically tight lower and upper bounds on the error probability
of correct assembly are obtained under a biologically plausible probabilistic
model. For the noisy case, we have proposed two novel DNA read denoising
methods, as well as corresponding upper bounds on assembly error probabilities.
It has been shown that, under mild circumstances, the performance of the
reliable assembly converges to that of the noiseless regime when, for a given
read length, the number of DNA reads is sufficiently large. Interestingly, the
emergence of long DNA read technologies in recent years envisions the
applicability of our results in real-world applications.


title:
Intra-Team Strategies for Teams Negotiating Against Competitor,
  Matchers, and Conceders

abstract:
  Under some circumstances, a group of individuals may need to negotiate
together as a negotiation team against another party. Unlike bilateral
negotiation between two individuals, this type of negotiations entails to adopt
an intra-team strategy for negotiation teams in order to make team decisions
and accordingly negotiate with the opponent. It is crucial to be able to
negotiate successfully with heterogeneous opponents since opponents'
negotiation strategy and behavior may vary in an open environment. While one
opponent might collaborate and concede over time, another may not be inclined
to concede. This paper analyzes the performance of recently proposed intra-team
strategies for negotiation teams against different categories of opponents:
competitors, matchers, and conceders. Furthermore, it provides an extension of
the negotiation tool Genius for negotiation teams in bilateral settings.
Consequently, this work facilitates research in negotiation teams.


title:
Studying the impact of negotiation environments on negotiation teams'
  performance

abstract:
  In this article we study the impact of the negotiation environment on the
performance of several intra-team strategies (team dynamics) for agent-based
negotiation teams that negotiate with an opponent. An agent-based negotiation
team is a group of agents that joins together as a party because they share
common interests in the negotiation at hand. It is experimentally shown how
negotiation environment conditions like the deadline of both parties, the
concession speed of the opponent, similarity among team members, and team size
affect performance metrics like the minimum utility of team members, the
average utility of team members, and the number of negotiation rounds. Our goal
is identifying which intra-team strategies work better in different
environmental conditions in order to provide useful knowledge for team members
to select appropriate intra-team strategies according to environmental
conditions.


title:
A wide-angle metamaterial narrow-band-stop filter for 532 nm wavelength
  green light

abstract:
  Traditional optical interference narrow-band-stop filters do not possess
wide-angle property, because peaks and troughs of filter spectrum would be
moved at a non-normal angle of incidence (AOI), which could result in
functional failure in particular cases, e.g. blocking of laser for pilot in
cockpit during premeditated laser pointer direct. For this reason, we designed
a wide-angle metamaterial narrow-band-stop filter assembled by cross shaped
units to block 532 nm green light, which is firstly reported in the world.
Unnecessary shift of spectrum caused by AOI change is effectively inhibited,
and angular tolerance of wide-angle capability achieves to 35 degrees
non-normal AOIs.


title: Inconclusive quantum measurements and decisions under uncertainty

abstract:
  We give a mathematical definition for the notion of inconclusive quantum
measurements. In physics, such measurements occur at intermediate stages of a
complex measurement procedure, with the final measurement result being
operationally testable. Since the mathematical structure of Quantum Decision
Theory has been developed in analogy with the theory of quantum measurements,
the inconclusive quantum measurements correspond, in Quantum Decision Theory,
to intermediate stages of decision making in the process of taking decisions
under uncertainty. The general form of the quantum probability for a composite
event is the sum of a utility factor, describing a rational evaluation of the
considered prospect, and of an attraction factor, characterizing irrational,
subconscious attitudes of the decision maker. Despite the involved
irrationality, the probability of prospects can be evaluated. This is
equivalent to the possibility of calculating quantum probabilities without
specifying hidden variables. We formulate a general way of evaluation, based on
the use of non-informative priors. As an example, we suggest the explanation of
the decoy effect. Our quantitative predictions are in very good agreement with
experimental data.


title:
Reliable Linear, Sesquilinear and Bijective Operations On Integer Data
  Streams Via Numerical Entanglement

abstract:
  A new technique is proposed for fault-tolerant linear, sesquilinear and
bijective (LSB) operations on $M$ integer data streams ($M\geq3$), such as:
scaling, additions/subtractions, inner or outer vector products, permutations
and convolutions. In the proposed method, the $M$ input integer data streams
are linearly superimposed to form $M$ numerically-entangled integer data
streams that are stored in-place of the original inputs. A series of LSB
operations can then be performed directly using these entangled data streams.
The results are extracted from the $M$ entangled output streams by additions
and arithmetic shifts. Any soft errors affecting any single disentangled output
stream are guaranteed to be detectable via a specific post-computation
reliability check. In addition, when utilizing a separate processor core for
each of the $M$ streams, the proposed approach can recover all outputs after
any single fail-stop failure. Importantly, unlike algorithm-based fault
tolerance (ABFT) methods, the number of operations required for the
entanglement, extraction and validation of the results is linearly related to
the number of the inputs and does not depend on the complexity of the performed
LSB operations. We have validated our proposal in an Intel processor (Haswell
architecture with AVX2 support) via fast Fourier transforms, circular
convolutions, and matrix multiplication operations. Our analysis and
experiments reveal that the proposed approach incurs between $0.03\%$ to $7\%$
reduction in processing throughput for a wide variety of LSB operations. This
overhead is 5 to 1000 times smaller than that of the equivalent ABFT method
that uses a checksum stream. Thus, our proposal can be used in fault-generating
processor hardware or safety-critical applications, where high reliability is
required without the cost of ABFT or modular redundancy.


title:
Smoothed Hierarchical Dirichlet Process: A Non-Parametric Approach to
  Constraint Measures

abstract:
  Time-varying mixture densities occur in many scenarios, for example, the
distributions of keywords that appear in publications may evolve from year to
year, video frame features associated with multiple targets may evolve in a
sequence. Any models that realistically cater to this phenomenon must exhibit
two important properties: the underlying mixture densities must have an unknown
number of mixtures, and there must be some "smoothness" constraints in place
for the adjacent mixture densities. The traditional Hierarchical Dirichlet
Process (HDP) may be suited to the first property, but certainly not the
second. This is due to how each random measure in the lower hierarchies is
sampled independent of each other and hence does not facilitate any temporal
correlations. To overcome such shortcomings, we proposed a new Smoothed
Hierarchical Dirichlet Process (sHDP). The key novelty of this model is that we
place a temporal constraint amongst the nearby discrete measures $\{G_j\}$ in
the form of symmetric Kullback-Leibler (KL) Divergence with a fixed bound $B$.
Although the constraint we place only involves a single scalar value, it
nonetheless allows for flexibility in the corresponding successive measures.
Remarkably, it also led us to infer the model within the stick-breaking process
where the traditional Beta distribution used in stick-breaking is now replaced
by a new constraint calculated from $B$. We present the inference algorithm and
elaborate on its solutions. Our experiment using NIPS keywords has shown the
desirable effect of the model.


title: Neutrino Self-Interactions

abstract:
  We propose a theory that equips the active neutrinos with interactions among
themselves that are at least three orders of magnitude stronger than the weak
interaction. We introduce an Abelian gauge group $U(1)_x$ with vacuum
expectation value $v_x \lesssim \mathcal{O}(100 \textrm{ MeV})$. An asymmetric
mass matrix implements the active neutrinos as massless mass eigenstates
carrying "effective" charges. To stabilize $v_x$, supersymmetry breaking is
mediated via loops to the additional sector with the only exception of xHiggs
terms. No Standard Model interaction eigenstate carries $U(1)_x$ charge. Thus
the dark photon's kinetic mixing is two-loop suppressed.With only simple and
generic values of dimensionless parameters, our theory might explain the
high-energy neutrino spectrum observed by IceCube including the PeV neutrinos.
We comment on the imposing opportunity to incorporate a self-interacting dark
matter candidate.


title:
Analysis of Human-Body Blockage in Urban Millimeter-Wave Cellular
  Communications

abstract:
  The use of extremely high frequency (EHF) or millimeter-wave (mmWave) band
has attracted significant attention for the next generation wireless access
networks. As demonstrated by recent measurements, mmWave frequencies render
themselves quite sensitive to "blocking" caused by obstacles like foliage,
humans, vehicles, etc. However, there is a dearth of analytical models for
characterizing such blocking and the consequent effect on the signal
reliability. In this paper, we propose a novel, general, and tractable model
for characterizing the blocking caused by humans (assuming them to be randomly
located in the environment) to mmWave propagation as a function of system
parameters like transmitter-receiver locations and dimensions, as well as
density and dimensions of humans. Moreover, the proposed model is validated
using a ray-launcher tool. Utilizing the proposed model, the blockage
probability is shown to increase with human density and separation between the
transmitter-receiver pair. Furthermore, the developed analysis is shown to
demonstrate the existence of a transmitter antenna height that maximizes the
received signal strength, which in turn is a function of the
transmitter-receiver distance and their dimensions.


title:
H\"ormander's solution of the $\bar\partial$ -equation with compact
  support

abstract:
  This work is a complement of the study on H\"ormander's solution of the
$\bar\partial$ equation initialised by H. Hedenmalm. Let $\varphi$ be a
strictly plurisubharmonic function of class C 2 in C n, let $c_\varphi(z)$ be
the smallest eigenvalue of $i\partial\bar\partial\varphi$ then $\forall
z\in\mathbb{C}^n$, $c_\varphi (z)>0$. We denote by $L^2_{p,q}(\mathbb{C}^n,
e^\varphi)$ the $(p, q)$ currents with coefficients in $L^2_{p,q}(\mathbb{C}^n,
e^\varphi)$. We prove that if $\omega\in L^2_{p,q}(\mathbb{C}^n,e^\varphi)$,
$\bar\partial$$\omega$ = 0 for q <n then there is a solution u $\in L
^2_{p,q-1}(\mathbb{C}^n,c_\varphi e^\varphi)$ of $\bar\partial$u = $\omega$.
This is done via a theorem giving a solution with compact support if the data
has compact support.


title: Galactic Archaeology: Current Surveys

abstract:
  I present an overview of the science goals and achievements of ongoing
spectroscopic surveys of individual stars in the nearby Universe. I include a
brief discussion of the development of the field of Galactic Archaeology -
using the fossil record in old stars nearby to infer how our Galaxy evolved and
place the Milky Way in cosmological context.


title: Constructive Simplicial Homotopy

abstract:
  This paper aims to help the development of new models of homotopy type
theory, in particular with models that are based on realizability toposes. For
this purpose it develops the foundations of an internal simplicial homotopy
that does not rely on classical principles that are not valid in realizability
toposes and related categories.


title: On the almost Gorenstein property in Rees algebras of contracted ideals

abstract:
  The question of when the Rees algebra ${\mathcal R} (I)= \bigoplus_{n \ge
0}I^n$ of $I$ is an almost Gorenstein graded ring is explored, where $R$ is a
two-dimensional regular local ring and $I$ a contracted ideal of $R$. It is
known that ${\mathcal R} (I)$ is an almost Gorenstein graded ring for every
integrally closed ideal $I$ of $R$. The main results of the present paper show
that if $I$ is a contracted ideal with $\mathrm{o}(I) \le 2$, then ${\mathcal
R} (I)$ is an almost Gorenstein graded ring, while if $\mathrm{o}(I) \ge 3$,
then ${\mathcal R} (I)$ is not necessarily an almost Gorenstein graded ring,
even though $I$ is a contracted stable ideal. Thus both affirmative answers and
negative answers are given.


title: Inflationary Cosmology Leading to a Soft Type Singularity

abstract:
  A remarkable property of modern cosmology is that it allows for a special
case of symmetry, consisting in the possibility of describing the early-time
acceleration (inflation) and the late-time acceleration using the same
theoretical framework. In this paper we consider various cosmological models
corresponding to a generalized form for the equation of state for the fluid in
a flat Friedmann -Robertson-Walker universe, emphasizing cases where the
so-called type IV singular inflation is encountered in the future. This is a
soft (non-crushing) kind of singularity. Parameter values for an inhomogeneous
equation of state leading to singular inflation are obtained. We present models
for which there are two type IV singularities, the first corresponding to the
end of the inflationary era and the second to a late time event. We also study
the correspondence between the theoretical slow-roll parameters leading to type
IV singular inflation and the recent results observed by the Planck satellite.


title: Big Data Analytics Using Cloud and Crowd

abstract:
  The increasing application of social and human-enabled systems in people's
daily life from one side and from the other side the fast growth of mobile and
smart phones technologies have resulted in generating tremendous amount of
data, also referred to as big data, and a need for analyzing these data, i.e.,
big data analytics. Recently a trend has emerged to incorporate human computing
power into big data analytics to solve some shortcomings of existing big data
analytics such as dealing with semi or unstructured data. Including crowd into
big data analytics creates some new challenges such as security, privacy and
availability issues.
  In this paper study hybrid human-machine big data analytics and propose a
framework to study these systems from crowd involvement point of view. We
identify some open issues in the area and propose a set of research directions
for the future of big data analytics area.


title: An algebraic condition for the Bisognano-Wichmann Property

abstract:
  The Bisognano-Wichmann property for local, Poincar\'e covariant nets of
standard subspaces is discussed. We present a sufficient algebraic condition on
the covariant representation ensuring Bisognano-Wichmann and Duality properties
without further assumptions on the net. Our modularity condition holds for
direct integrals of scalar massive and massless representations. We conclude
that in these cases the Bisognano-Wichmann property is much weaker than the
Split property. Furthermore, we present a class of massive modular covariant
nets not satisfying the Bisognano-Wichmann property.


title: Regular and chaotic orbits in the dynamics of exoplanets

abstract:
  Many of exoplanetary systems consist of more than one planet and the study of
planetary orbits with respect to their long-term stability is very interesting.
Furthermore, many exoplanets seem to be locked in a mean-motion resonance
(MMR), which offers a phase protection mechanism, so that, even highly
eccentric planets can avoid close encounters. However, the present estimation
of their initial conditions, which may change significantly after obtaining
additional observational data in the future, locate most of the systems in
chaotic regions and consequently, they are destabilized. Hence, dynamical
analysis is imperative for the derivation of proper planetary orbital elements.
We utilize the model of spatial general three body problem, in order to
simulate such resonant systems through the computation of families periodic
orbits. In this way, we can figure out regions in phase space, where the
planets in resonances should be ideally hosted in favour of long-term stability
and therefore, survival. In this review, we summarize our methodology and
showcase the fact that stable resonant planetary systems evolve being exactly
centered at stable periodic orbits. We apply this process to co-orbital motion
and systems HD 82943, HD 73526, HD 128311, HD 60532, HD 45364 and HD 108874.


title:
Energy Efficient Downlink Transmission for Multi-cell Massive DAS with
  Pilot Contamination

abstract:
  In this paper, we study the energy efficiency (EE) of a downlink multi-cell
massive distributed antenna system (DAS) in the presence of pilot contamination
(PC), where the antennas are clustered on the remote radio heads (RRHs). We
employ a practical power consumption model by considering the transmit power,
the circuit power, and the backhaul power, in contrast to most of the existing
works which focus on co-located antenna systems (CAS) where the backhaul power
is negligible. For a given average user rate, we consider the problem of
maximizing the EE with respect to the number of each RRH antennas $n$, the
number of RRHs $M$, the number of users $K$, and study the impact of system
parameters on the optimal $n$, $M$ and $K$. Specifically, by applying random
matrix theory, we derive the closed-form expressions of the optimal $n$, and
find the solution of the optimal $M$ and $K$, under a simplified channel model
with maximum ratio transmission. From the results, we find that to achieve the
optimal EE, a large number of antennas is needed for a given user rate and PC.
As the number of users increases, EE can be improved further by having more
RRHs and antennas. Moreover, if the backhauling power is not large, massive DAS
can be more energy efficient than massive CAS. These insights provide a useful
guide to practical deployment of massive DAS.


title: Obstructed and unobstructed Poisson deformations

abstract:
  In this paper, we study obstructed and unobstructed (holomorphic) Poisson
deformations with classical examples in deformation theory.


title:
An adaptive variational Quasicontinuum methodology for lattice networks
  with localized damage

abstract:
  Lattice networks with dissipative interactions can be used to describe the
mechanics of discrete meso-structures of materials such as 3D-printed
structures and foams. This contribution deals with the crack initiation and
propagation in such materials and focuses on an adaptive multiscale approach
that captures the spatially evolving fracture. Lattice networks naturally
incorporate non-locality, large deformations, and dissipative mechanisms taking
place inside fracture zones. Because the physically relevant length scales are
significantly larger than those of individual interactions, discrete models are
computationally expensive. The Quasicontinuum (QC) method is a multiscale
approach specifically constructed for discrete models. This method reduces the
computational cost by fully resolving the underlying lattice only in regions of
interest, while coarsening elsewhere. In this contribution, the (variational)
QC is applied to damageable lattices for engineering-scale predictions. To deal
with the spatially evolving fracture zone, an adaptive scheme is proposed.
Implications induced by the adaptive procedure are discussed from the
energy-consistency point of view, and theoretical considerations are
demonstrated on two examples. The first one serves as a proof of concept,
illustrates the consistency of the adaptive schemes, and presents errors in
energies. The second one demonstrates the performance of the adaptive QC scheme
for a more complex problem.


title:
Spin-orbit excitation energies, anisotropic exchange, and magnetic
  phases of honeycomb RuCl3

abstract:
  Using quantum chemistry calculations we shed fresh light on the electronic
structure and magnetic properties of RuCl3, a proposed realization of the
honeycomb Kitaev spin model. It is found that the nearest-neighbor Kitaev
exchange K is weaker than in 5d5 Ir oxides but still larger than other
effective spin couplings. The electronic-structure computations also indicate a
ferromagnetic K in the halide, which is supported by a detailed analysis of the
field-dependent magnetization. From exact-diagonalization calculations for
extended Kitaev-Heisenberg Hamiltonians we additionally find that a transition
from zigzag order to a spin-liquid ground state can be induced in RuCl3 with
external magnetic field.


title: Stable actions and central extensions

abstract:
  A probability-measure-preserving action of a countable group is called stable
if its transformation-groupoid absorbs the ergodic hyperfinite equivalence
relation of type II_1 under direct product. We show that for a countable group
G and its central subgroup C, if G/C has a stable action, then so does G.
Combining a previous result of the author, we obtain a characterization of a
central extension having a stable action.


title: Direct measurement of topological numbers with spins in diamond

abstract:
  Topological numbers can characterize the transition between different
topological phases, which are not described by Landau's paradigm of symmetry
breaking. Since the discovery of quantum Hall effect, more topological phases
have been theoretically predicted and experimentally verified. However, it is
still an experimental challenge to directly measure the topological number of
various predicted topological phases. In this paper, we demonstrate quantum
simulation of topological phase transition of a quantum wire (QW) using a
single nitrogen-vacancy (NV) center in diamond. Deploying quantum algorithm of
finding eigenvalues, we can reliably extract both the dispersion relations and
topological numbers.


title:
The effect of network structure on innovation initiation process: an
  evolutionary dynamics approach

abstract:
  In this paper we have proposed a basic agent-based model based on
evolutionary dynamics for investigating innovation initiation process. In our
model we suppose each agent will represent a firm which is interacting with
other firms through a given network structure. We consider a two-hit process
for presenting a potentially successful innovation in this model and therefore
at each time step each firm can be in on of three different stages which are
respectively, Ordinary, Innovative, and Successful. We design different
experiments in order to investigate how different interaction networks may
affect the process of presenting a successful innovation to the market. In this
experiments, we use five different network structures, i.e. Erd\H{o}s and
R\'enyi, Ring Lattice, Small World, Scale-Free and Distance-Based networks.
According to the results of the simulations, for less frequent innovations like
radical innovation, local structures are showing a better performance comparing
to Scale-Free and Erd\H{o}s and R\'enyi networks. Although as we move toward
more frequent innovations, like incremental innovations, difference between
network structures becomes less and non-local structures show relatively better
performance.


title: Free cumulants, Schr\"oder trees, and operads

abstract:
  The functional equation defining the free cumulants in free probability is
lifted successively to the noncommutative Fa\`a di Bruno algebra, and then to
the group of a free operad over Schr\"oder trees. This leads to new
combinatorial expressions, which remain valid for operator-valued free
probability. Specializations of these expressions give back Speicher's formula
in terms of noncrossing partitions, and its interpretation in terms of
characters due to Ebrahimi-Fard and Patras.


title: On the Upsilon invariant of cable knots

abstract:
  In this paper, we study the behavior of $\Upsilon_K(t)$ under the cabling
operation, where $\Upsilon_K(t)$ is the knot concordance invariant defined by
Ozsv\'ath, Stipsicz, and Szab\'o, associated to a knot $K\subset S^3$. The main
result is an inequality relating $\Upsilon_K(t)$ and $\Upsilon_{K_{p,q}}(t)$,
which generalizes the inequalities of Hedden and Van Cott on the
Ozsv\'ath-Szab\'o $\tau$-invariant. As applications, we give a computation of
$\Upsilon_{(T_{2,-3})_{2,2n+1}}(t)$ for $n\geq 8$, and we also show that the
set of iterated $(p,1)$-cables of $Wh^{+}(T_{2,3})$ for any $p\geq 2$ span an
infinite-rank summand of topologically slice knots.


title: On the Performance of Channel Statistics-Based Codebook for Massive MIMO

abstract:
  The channel feedback overhead for massive MIMO systems with a large number of
base station (BS) antennas is very high, since the number of feedback bits of
traditional codebooks scales linearly with the number of BS antennas. To reduce
the feedback overhead, an effective codebook based on channel statistics has
been designed, where the required number of feedback bits only scales linearly
with the rank of the channel correlation matrix. However, this attractive
conclusion was only intuitively explained and then verified through simulation
results in the literature, while no rigorous theoretical proof has been
provided. To fill in the gap between the theoretical conclusion and simulation
results, in this paper, we quantitatively analyze the performance of the
channel statistics-based codebook. Specifically, we firstly introduce the rate
gap between the ideal case of perfect channel state information at the
transmitter and the practical case of limited channel feedback, where we find
that the rate gap is dependent on the quantization error of the codebook. Then,
we derive an upper bound of the quantization error, based on which we prove
that the required feedback bits to ensure a constant rate gap only scales
linearly with the rank of the channel correlation matrix. Finally, numerical
results are provided to verify this conclusion. To the best of our knowledge,
our work is the first one to provide a rigorous proof of this conclusion.


title:
Assessing the impact of costly punishment and group size in
  collective-risk climate dilemmas

abstract:
  The mitigation of the effects of climate change on humankind is one of the
most pressing and important collective governance problems nowadays$^{1-4}$. To
explore different solutions and scenarios, previous works have framed this
problem into a Public Goods Game (PGG), where a dilemma between short-term
interests and long-term sustainability arises$^{5-9}$. In such a context,
subjects are placed in groups and play a PGG with the aim of avoiding dangerous
climate change impact. Here we report on a lab experiment designed to explore
two important ingredients: costly punishment to free-riders and group size. Our
results show that for high punishment risk, more groups succeed in achieving
the global target, this finding being robust against group size. Interestingly
enough, we also find a non-trivial effect of the size of the groups: the larger
the size of the groups facing the dilemmas, the higher the punishment risk
should be to achieve the desired goal. Overall, the results of the present
study shed more light into possible deterrent effects of plausible measures
that can be put in place when negotiating climate treaties and provide more
hints regarding climate-related policies and strategies.


title: Proof of shock-excited H$_2$ in low-ionization structures of PNe

abstract:
  We report the detection of near-IR H$_2$ lines emission from low-ionization
structures (LISs) in planetary nebulae. The deepest, high-angular resolution
H$_2$ 1-0 S(1) at 2.122 $\mu$m, and H$_2$ 2-1 S(1) at 2.248 $\mu$m images of K
4-47 and NGC 7662, obtained using NIRI@Gemini-North, are presented here. K 4-47
reveals a remarkable high-collimated bipolar structure. The H$_2$ emission
emanates from the walls of the bipolar outflows and a pair of knots at the tips
of these outflows. The H$_2$ 1-0 S(1)/2-1 S(1) line ratio is $\sim$7-10 which
indicates shock interaction due to both the lateral expansion of the gas in the
outflows and the high-velocity knots. The strongest line, H$_2$ v=1-0 S(1), is
also detected in several LISs located at the periphery of the outer shell of
the elliptical PN NGC 7662, whereas only four knots are detected in the H$_2$
v=2-1 S(1) line. These knots have H$_2$ v=1-0 S(1)/v=2-1 S(1) values between 2
and 3. These data confirm the presence of molecular gas in both highly (K 4-47)
and slowly moving LISs (NGC 7662). The H$_2$ emission in K 4-47 is powered by
shocks, whereas in NGC 7662 is due to photo-ionization by the central star.
Moreover, a likely correlation is found between the H$_2$ v=1-0 S(1)/H$_2$
v=2-1 S(1) and [N II]/H$\alpha$ line ratios.


title:
Closed loop interactions between spiking neural network and robotic
  simulators based on MUSIC and ROS

abstract:
  In order to properly assess the function and computational properties of
simulated neural systems, it is necessary to account for the nature of the
stimuli that drive the system. However, providing stimuli that are rich and yet
both reproducible and amenable to experimental manipulations is technically
challenging, and even more so if a closed-loop scenario is required. In this
work, we present a novel approach to solve this problem, connecting robotics
and neural network simulators. We implement a middleware solution that bridges
the Robotic Operating System (ROS) to the Multi-Simulator Coordinator (MUSIC).
This enables any robotic and neural simulators that implement the corresponding
interfaces to be efficiently coupled, allowing real-time performance for a wide
range of configurations. This work extends the toolset available for
researchers in both neurorobotics and computational neuroscience, and creates
the opportunity to perform closed-loop experiments of arbitrary complexity to
address questions in multiple areas, including embodiment, agency, and
reinforcement learning.


title: The maximal drawdown of the Brownian meander

abstract:
  Motivated by evaluating the limiting distribution of randomly biased random
walks on trees, we compute the exact value of a negative moment of the maximal
drawdown of the standard Brownian meander.


title:
Asymptotic normality and combinatorial aspects of the prefix exchange
  distance distribution

abstract:
  The prefix exchange distance of a permutation is the minimum number of
exchanges involving the leftmost element that sorts the permutation. We give
new combinatorial proofs of known results on the distribution of the prefix
exchange distance for a random uniform permutation. We also obtain expressions
for the mean and the variance of this distribution, and finally, we show that
the normalised prefix exchange distribution converges in distribution to the
standard normal distribution.


title: Efficient Dictionary Learning with Sparseness-Enforcing Projections

abstract:
  Learning dictionaries suitable for sparse coding instead of using engineered
bases has proven effective in a variety of image processing tasks. This paper
studies the optimization of dictionaries on image data where the representation
is enforced to be explicitly sparse with respect to a smooth, normalized
sparseness measure. This involves the computation of Euclidean projections onto
level sets of the sparseness measure. While previous algorithms for this
optimization problem had at least quasi-linear time complexity, here the first
algorithm with linear time complexity and constant space complexity is
proposed. The key for this is the mathematically rigorous derivation of a
characterization of the projection's result based on a soft-shrinkage function.
This theory is applied in an original algorithm called Easy Dictionary Learning
(EZDL), which learns dictionaries with a simple and fast-to-compute
Hebbian-like learning rule. The new algorithm is efficient, expressive and
particularly simple to implement. It is demonstrated that despite its
simplicity, the proposed learning algorithm is able to generate a rich variety
of dictionaries, in particular a topographic organization of atoms or separable
atoms. Further, the dictionaries are as expressive as those of benchmark
learning algorithms in terms of the reproduction quality on entire images, and
result in an equivalent denoising performance. EZDL learns approximately 30 %
faster than the already very efficient Online Dictionary Learning algorithm,
and is therefore eligible for rapid data set analysis and problems with vast
quantities of learning samples.


title: Median bias reduction of maximum likelihood estimates

abstract:
  For regular parametric problems, we show how median centering of the maximum
likelihood estimate can be achieved by a simple modification of the score
equation. For a scalar parameter of interest, the estimator is equivariant
under interest respecting parameterizations and third-order median unbiased.
With a vector parameter of interest, componentwise equivariance and third-order
median centering are obtained. Like Firth's (1993, Biometrika) implicit method
for bias reduction, the new method does not require finiteness of the maximum
likelihood estimate and is effective in preventing infinite estimates.
Simulation results for continuous and discrete models, including binary and
beta regression, confirm that the method succeeds in achieving componentwise
median centering and in solving the infinite estimate problem, while keeping
comparable dispersion and the same approximate distribution as its main
competitors.


title: A Solution to Lithium Problem by Long-Lived Stau

abstract:
  We review a non-standard Big-Bang nucleosynthesis (BBN) scenario within the
minimal supersymmetric standard model, and propose an idea to solve both
${}^{7}$Li and ${}^{6}$Li problems. Each problem is a discrepancy between the
predicted abundance in the standard BBN and observed one. We focus on the stau,
a supersymmetric partner of tau lepton, which is a long-lived charged particle
when it is the next lightest supersymmetric particle and is degenerate in mass
with the lightest supersymmetric particle. The long-lived stau forms a bound
state with a nucleus, and provide non-standard nuclear reactions. One of those,
the internal conversion process, accelerates the destruction of ${}^{7}$Be and
${}^{7}$Li, and leads to a solution to the ${}^{7}$Li problem. On the other
hand, the bound state of the stau and ${}^{4}$He enhances productions of n, d,
t, and ${}^{6}$Li. The over-production of ${}^{6}$Li could solve the ${}^{6}$Li
problem. While, the over-productions of d and t could conflict with
observations, and the relevant parameter space of the stau is strictly
constrained. We therefore need to carefully investigate the stau-${}^{4}$He
bound state to find a condition of solving the ${}^{6}$Li problem. The scenario
of the long-lived stau simultaneously and successfully fit the abundances of
light elements (d, t, ${}^{3}$He, ${}^{4}$He, ${}^{6}$Li, and ${}^{7}$Li) and
the neutralino dark matter to the observed ones. Consequently parameter space
both of the stau and the neutralino is determined with excellent accuracy.


title:
Signatures of topological quantum phase transitions in driven and
  dissipative qubit-arrays

abstract:
  We study photonic signatures of symmetry broken and topological phases in a
driven, dissipative circuit QED realization of spin-1/2 chains. Specifically,
we consider the transverse-field XY model and a dual model with 3-spin
interactions. The former has a ferromagnetic and a paramagnetic phase, while
the latter features, in addition, a symmetry protected topological phase. Using
the method of third quantization, we calculate the non-equilibrium steady-state
of the open spin chains for arbitrary system sizes and temperatures. We find
that the bi-local correlation function of the spins at both ends of the chain
provides a sensitive measure for both symmetry-breaking and topological phase
transitions of the systems, but no universal means to distinguish between the
two types of transitions. Both models have equivalent representations in terms
of free Majorana fermions, which host zero, one and two topological Majorana
end modes in the paramagnetic, ferromagnetic, and symmetry protected
topological phases, respectively. The correlation function we study retains its
bi-local character in the fermionic representation, so that our results are
equally applicable to the fermionic models in their own right. We propose a
photonic realization of the dissipative transverse-field XY model in a tunable
setup, where an array of superconducting transmon qubits is coupled at both
ends to a photonic microwave circuit.


title: Finiteness theorems for commuting and semiconjugate rational functions

abstract:
  Let $B$ be a fixed rational function of one complex variable of degree at
least two. In this paper, we study solutions of the functional equation $A\circ
X=X\circ B$ in rational functions $A$ and $X$. Our main result states that,
unless $B$ is a Latt\`es map or is conjugate to $z^{\pm d}$ or $\pm T_d$, the
set of solutions is finite, up to some natural transformations. In more detail,
we show that there exist finitely many rational functions $A_1, A_2,\dots, A_r$
and $X_1, X_2,\dots, X_r$ such that the equality $A\circ X=X\circ B$ holds if
and only if there exists a M\"obius transformation $\mu$ such that $A=\mu \circ
A_j\circ \mu^{-1}$ and $X=\mu \circ X_j\circ B^{\circ k}$ for some $j,$ $1\leq
j \leq r,$ and $k\geq 1$. We also show that the number $r$ and the degrees
$\deg X_j,$ $1\leq j \leq r,$ can be bounded from above in terms of the degree
of $B$ only. As an application, we prove an effective version of the classical
theorem of Ritt about commuting rational functions.


title: Abstract Graph Machine

abstract:
  An Abstract Graph Machine(AGM) is an abstract model for distributed memory
parallel stabilizing graph algorithms. A stabilizing algorithm starts from a
particular initial state and goes through series of different state changes
until it converges. The AGM adds work dependency to the stabilizing algorithm.
The work is processed within the processing function. All processes in the
system execute the same processing function. Before feeding work into the
processing function, work is ordered using a strict weak ordering relation. The
strict weak ordering relation divides work into equivalence classes, hence work
within a single equivalence class can be processed in parallel, but work in
different equivalence classes must be executed in the order they appear in
equivalence classes. The paper presents the AGM model, semantics and AGM models
for several existing distributed memory parallel graph algorithms.


title:
Detecting Exomoons Around Self-luminous Giant Exoplanets Through
  Polarization

abstract:
  Many of the directly imaged self-luminous gas giant exoplanets have been
found to have cloudy atmospheres. Scattering of the emergent thermal radiation
from these planets by the dust grains in their atmospheres should locally give
rise to significant linear polarization of the emitted radiation. However, the
observable disk averaged polarization should be zero if the planet is
spherically symmetric. Rotation-induced oblateness may yield a net non-zero
disk averaged polarization if the planets have sufficiently high spin rotation
velocity. On the other hand, when a large natural satellite or exomoon transits
a planet with cloudy atmosphere along the line of sight, the asymmetry induced
during the transit should give rise to a net non-zero, time resolved linear
polarization signal. The peak amplitude of such time dependent polarization may
be detectable even for slowly rotating exoplanets. Therefore, we suggest that
large exomoons around directly imaged self-luminous exoplanets may be
detectable through time resolved imaging polarimetry. Adopting detailed
atmospheric models for several values of effective temperature and surface
gravity which are appropriate for self-luminous exoplanets, we present the
polarization profiles of these objects in the infrared during transit phase and
estimate the peak amplitude of polarization that occurs during the inner
contacts of the transit ingress/egress phase. The peak polarization is
predicted to range between 0.1 and 0.3 % in the infrared.


title:
A Classification Algorithm for Complex Singularities of Corank and
  Modality up to Two

abstract:
  In (Arnold, 1985), V.I. Arnold has obtained normal forms and has developed a
classifier for, in particular, all isolated hypersurface singularities over the
complex numbers up to modality 2. Building on a series of 105 theorems, this
classifier determines the type of the given singularity. However, for positive
modality, this does not fix the right equivalence class of the singularity,
since the values of the moduli parameters are not specified. In this paper, we
present a simple classification algorithm for isolated hypersurface
singularities of corank and modality up to two. For a singularity given by a
polynomial over the rationals, the algorithm determines its right equivalence
class by specifying a polynomial representative in Arnold's list of normal
forms.


title: A Conjecture concerning the Fibonomial Triangle

abstract:
  The fibonomial triangle has been shown by Chen and Sagan to have a fractal
nature mod 2 and 3. Both these primes have the property that the Fibonacci
entry point of $p$ is $p+1$. We study the fibonomial triangle mod 5, showing
with a theorem of Knuth and Wilf that the triangle has a recurring structure
under divisibility by five. While this result is not new, our method of proof
is new and suggests a conjecture for the divisibility of a fibonomial
coefficient by a general prime $p$. We give necessary conditions for such
primes, namely that the Fibonacci entry point must be greater than or equal to
$p$, and offer numerical evidence for the validity of the conjecture. Lastly,
we conclude with a discussion concerning further directions of research.


title:
The MUSCLES Treasury Survey III: X-ray to Infrared Spectra of 11 M and K
  Stars Hosting Planets

abstract:
  We present a catalog of panchromatic spectral energy distributions (SEDs) for
7 M and 4 K dwarf stars that span X-ray to infrared wavelengths (5 {\AA} - 5.5
{\mu}m). These SEDs are composites of Chandra or XMM-Newton data from 5 - ~50
{\AA}, a plasma emission model from ~50 - 100 {\AA}, broadband empirical
estimates from 100 - 1170 {\AA}, HST data from 1170 - 5700 {\AA}, including a
reconstruction of stellar Ly{\alpha} emission at 1215.67 {\AA}, and a PHOENIX
model spectrum from 5700 - 55000 {\AA}. Using these SEDs, we computed the
photodissociation rates of several molecules prevalent in planetary atmospheres
when exposed to each star's unattenuated flux ("unshielded" photodissociation
rates) and found that rates differ among stars by over an order of magnitude
for most molecules. In general, the same spectral regions drive unshielded
photodissociations both for the minimally and maximally FUV active stars.
However, for ozone visible flux drives dissociation for the M stars whereas NUV
flux drives dissociation for the K stars. We also searched for an FUV continuum
in the assembled SEDs and detected it in 5/11 stars, where it contributes
around 10% of the flux in the range spanned by the continuum bands. An
ultraviolet continuum shape is resolved for the star {\epsilon} Eri that shows
an edge likely attributable to Si II recombination. The 11 SEDs presented in
this paper, available online through the Mikulski Archive for Space Telescopes,
will be valuable for vetting stellar upper-atmosphere emission models and
simulating photochemistry in exoplanet atmospheres.


title: The $1/N$ expansion for SO(N) lattice gauge theory at strong coupling

abstract:
  The $1/N$ expansion is an asymptotic series expansion for certain quantities
in large-$N$ lattice gauge theories. This article gives a rigorous formulation
and proof of the $1/N$ expansion for Wilson loop expectations in SO(N) lattice
gauge theory in the strong coupling regime in any dimension. The terms in the
expansion are expressed as sums over trajectories of strings in a lattice
string theory, establishing an explicit gauge-string duality. The trajectories
trace out surfaces of genus zero for the first term in the expansion, and
surfaces of higher genus for the higher terms.


title:
Free-Surface Hydrodynamics in Conformal Variables: Are Equations of
  Free-Surface Hydrodynamics on Deep Water Integrable?

abstract:
  The hypothesis on complete integrability of equations describing the
potential motion of incompressible ideal fluid with free surface in 2-D space
in presence and absence of gravity was formulated by Dyachenko and Zakharov in
1994 [1]. Later on, the same authors found that these equations have indefinite
number of additional motion constants [2] that was an argument in support of
the integrability hypothesis. In this article we formulate another argument in
favor of this conjecture. It is known [3] that the free-surface equations have
an exotic solution that keeps the surface flat but describes the compression of
the whole mass of fluid. In this article we show that the free-surface
hydrodynamic is integrable if the motion can be treated as a finite amplitude
perturbation of the compressed fluid solution. Integrability makes possible to
construct an indefinite number of exact solutions of the Euler equations with
free surface.


title: Robust Monocular Flight in Cluttered Outdoor Environments

abstract:
  Recently, there have been numerous advances in the development of
biologically inspired lightweight Micro Aerial Vehicles (MAVs). While
autonomous navigation is fairly straight-forward for large UAVs as expensive
sensors and monitoring devices can be employed, robust methods for obstacle
avoidance remains a challenging task for MAVs which operate at low altitude in
cluttered unstructured environments. Due to payload and power constraints, it
is necessary for such systems to have autonomous navigation and flight
capabilities using mostly passive sensors such as cameras. In this paper, we
describe a robust system that enables autonomous navigation of small agile
quad-rotors at low altitude through natural forest environments. We present a
direct depth estimation approach that is capable of producing accurate,
semi-dense depth-maps in real time. Furthermore, a novel wind-resistant control
scheme is presented that enables stable way-point tracking even in the presence
of strong winds. We demonstrate the performance of our system through extensive
experiments on real images and field tests in a cluttered outdoor environment.


title:
Characterization, description, and considerations for the use of funding
  acknowledgement data in Web of Science

abstract:
  Funding acknowledgements found in scientific publications have been used to
study the impact of funding on research since the 1970s. However, no broad
scale indexation of that paratextual element was done until 2008, when Thomson
Reuters Web of Science started to add funding acknowledgement information to
its bibliographic records. As this new information provides a new dimension to
bibliometric data that can be systematically exploited, it is important to
understand the characteristics of these data and the underlying implications
for their use. This paper analyses the presence and distribution of funding
acknowledgement data covered in Web of Science. Our results show that prior to
2009 funding acknowledgements coverage is extremely low and therefore not
reliable. Since 2008, funding information has been collected mainly for
publications indexed in the Science Citation Index Expanded (SCIE); more
recently (2015), inclusion of funding texts for publications indexed in the
Social Science Citation Index (SSCI) has been implemented. Arts & Humanities
Citation Index (AHCI) content is not indexed for funding acknowledgement data.
Moreover, English-language publications are the most reliably covered. Finally,
not all types of documents are equally covered for funding information
indexation and only articles and reviews show consistent coverage. The
characterization of the funding acknowledgement information collected by
Thomson Reuters can therefore help understand the possibilities offered by the
data but also their limitations.


title:
Phase diagram and topological phases in the triangular lattice
  Kitaev-Hubbard model

abstract:
  We study the half-filled Hubbard model on the triangular lattice with
spin-dependent Kitaev-like hopping. Using the variational cluster approach, we
identify five phases: a metallic phase, a non-coplanar chiral magnetic order, a
$120^\circ$ magnetic order, a nonmagnetic insulator (NMI), and an interacting
Chern insulator (CI) with a nonzero Chern number. The transition from CI to NMI
is characterized by the change of the charge gap from an indirect band gap to a
direct Mott gap. Based on the slave-rotor mean-field theory, the NMI phase is
further suggested to be a gapless Mott insulator with a spinon Fermi surface or
a fractionalized CI with nontrivial spinon topology, depending on the strength
of Kitaev-like hopping. Our work highlights the rising field that interesting
phases emerge from the interplay of band topology and Mott physics.


title: The eLSM at nonzero density

abstract:
  The extended Linear Sigma Model (eLSM) is an effective model of QCD which
includes in the mesonic sector (pseudo)scalar and (axial-)vector quarkonia
mesons as well as one dilaton/glueball field and in the baryonic sector the
nucleon doublet and its chiral partner in the mirror assignment. The chiral
partner of the pion turns out to be the resonance $f_{0}(1370),$ which is then
predominantly a quarkonium state. As a consequence, $f_{0}(500)$ is
predominately not a quarkonium state but a four-quark object and is at first
not part of the model. Yet, $f_{0}(500)$ is important in the baryonic sector
and affects nuclear matter saturation, the high-density behavior, and
nucleon-nucleon scattering. In these proceedings, we show how to enlarge the
two-flavour version of the eLSM in order to include the four-quark field
$f_{0}(500)$ in a chiral invariant manner. We then discuss homogeneous and
inhomogeneous chiral restoration in a dense medium.


title: Compatibility of Mating Preferences

abstract:
  Human mating is a complex phenomenon. Although men and women have different
preferences in mate selection, there should be compatibility in these
preferences since human mating requires agreement of both parties. We
investigate how compatible the mating preferences of men and women are in a
given property such as age, height, education and income. We use dataset of a
large online dating site (N = 44, 255 users). (i) Our findings are based on the
"actual behavior" of users trying to find a date online, rather than questions
about a "hypothetical" partner as in surveys. (ii) We confirm that women and
men have different mating preferences. Women prefer taller and older men with
better education and higher income then themselves. Men prefer just the
opposite. (iii) Our findings indicate that these differences complement each
other. (iv) Highest compatibility is observed in income with 95 %. This might
be an indication that income is in the process of becoming more important than
other properties, including age, in our modern society. (v) An evolutionary
model is developed which produces similar results.


title: ACD: Action Concept Discovery from Image-Sentence Corpora

abstract:
  Action classification in still images is an important task in computer
vision. It is challenging as the appearances of ac- tions may vary depending on
their context (e.g. associated objects). Manually labeling of context
information would be time consuming and difficult to scale up. To address this
challenge, we propose a method to automatically discover and cluster action
concepts, and learn their classifiers from weakly supervised image-sentence
corpora. It obtains candidate action concepts by extracting verb-object pairs
from sentences and verifies their visualness with the associated images.
Candidate action concepts are then clustered by using a multi-modal
representation with image embeddings from deep convolutional networks and text
embeddings from word2vec. More than one hundred human action concept
classifiers are learned from the Flickr 30k dataset with no additional human
effort and promising classification results are obtained. We further apply the
AdaBoost algorithm to automatically select and combine relevant action concepts
given an action query. Promising results have been shown on the PASCAL VOC 2012
action classification benchmark, which has zero overlap with Flickr30k.


title:
A Very Large Array Search for Intermediate-Mass Black Holes in Globular
  Clusters in M81

abstract:
  Nantais et al. used the Hubble Space Telescope to localize probable globular
clusters (GCs) in M81, a spiral galaxy at a distance of 3.63 Mpc. Theory
predicts that GCs can host intermediate-mass black holes (IMBHs) with masses
M_BH \sim 100 - 100,000 M_sun. Finding IMBHs in GCs could validate a formation
channel for seed BHs in the early universe, bolster gravitational-wave
predictions for space missions, and test scaling relations between stellar
systems and the central BHs they host. We used the NRAO Karl G. Jansky Very
Large Array (VLA) to search for the radiative signatures of IMBH accretion from
206 probable GCs in a mosaic of M81. The observing wavelength was 5.5 cm and
the spatial resolution was 1.5 arcsec (26.4 pc). None of the individual GCs are
detected, nor are weighted-mean image stacks of the 206 GCs and the 49 massive
GCs with stellar masses M_star \gtrsim 200,000 M_sun. We apply a semi-empirical
model to predict the mass of an IMBH that, if undergoing accretion in the
long-lived hard X-ray state, is consistent with a given radio luminosity. The
3$\sigma$ radio-luminosity upper limits correspond to mean IMBH masses of
M_BH(all) < 42,000 M_sun for the all-cluster stack and M_BH(massive) < 51,000
M_sun for the massive-cluster stack. We also apply the empirical
fundamental-plane relation to two X-ray-detected clusters, finding that their
individual IMBH masses at 95% confidence are M_BH < 99,000 M_sun and M_BH <
15,000 M_sun. Finally, no analog of HLX-1, a strong IMBH candidate in an
extragalactic star cluster, occurs in any individual GC in M81. This
underscores the uniqueness or rarity of the HLX-1 phenomenon.


title: On the Asymmetry of Vibrational Energy Flow

abstract:
  A simple model to predict the directionality of vibrational energy flow at
molecular level is presented. This model is based on a vibrational energy
propagation analysis using ab intio molecular dynamics and the Fukui function
and local softness reactivity indexes derived from DFT. By using this simple
conceptual model we are giving a cogent rationale to previous theoretical and
experimental reports of asymmetrical vibrational energy diffusion in proteins
and energetic materials. We proposed here three basic rules for the Vibrational
Energy Relaxation in molecules: (i) the vibrational energy flows form a soft
site to a hard site but not in the opposite direction, (ii) when vibrational
energy is injected directly to a hard site, it is trapped in this site, and
(iii) if the vibrational energy is pump in a polarizable site and two sites
with different softness are available, the energy will propagate to the softest
one.