pinecone/core-2020-05-10-deduplication huggingface dataset:
Holographic Entanglement Entropy

We review the developments in the past decade on holographic entanglement
entropy, a subject that has garnered much attention owing to its potential to
teach us about the emergence of spacetime in holography. We provide an
introduction to the concept of entanglement entropy in quantum field theories,
review the holographic proposals for computing the same, providing some
justification for where these proposals arise from in the first two parts. The
final part addresses recent developments linking entanglement and geometry. We
provide an overview of the various arguments and technical developments that
teach us how to use field theory entanglement to detect geometry. Our
discussion is by design eclectic; we have chosen to focus on developments that
appear to us most promising for further insights into the holographic map.
  This is a draft of a few chapters of a book which will appear sometime in the
near future, to be published by Springer. The book in addition contains a
discussion of application of holographic ideas to computation of entanglement
entropy in strongly coupled field theories, and discussion of tensor networks
and holography, which we have chosen to exclude from the current manuscript.Comment: 154 pages. many figures. preliminary version of book chapters.
  comments welcome. v2: typos fixed and references adde
The Goals Approach: Agile Enterprise Driven Software Development

Continuous Business Process Improvement (BPI) is necessary in order to maintain and develop the enterprise competitiveness. Yet, achieving a level of software development performance that matches needs in terms of producing noticeable results within small amounts of time is a persnickety task, mainly because most available methodologies do not deliver full software architectures that can be directly used for in-house software development without iterations between implementation and design, as produced specifications are too close to the user interface, or too close to business rule and domain. Our approach applies a method that structures business processes, business rules and domain concepts, and uses this information in order to identify user tasks (use cases), and by means of their detail, methodically specify the final architecture for a particular BPI, bridging business and software using cross-consistent concepts. We provide an example and the theoretical validation of our approach
The Simplicial Characterisation of TS networks: Theory and applications

We use the visibility algorithm to construct the time series networks
obtained from the time series of different dynamical regimes of the logistic
map. We define the simplicial characterisers of networks which can analyse the
simplicial structure at both the global and local levels. These characterisers
are used to analyse the TS networks obtained in different dynamical regimes of
the logisitic map. It is seen that the simplicial characterisers are able to
distinguish between distinct dynamical regimes. We also apply the simplicial
characterisers to time series networks constructed from fMRI data, where the
preliminary results indicate that the characterisers are able to differentiate
between distinct TS networks.Comment: 11 pages, 2 figures, 4 tables. Accepted for publication in
  Proceedings of the 4th International Conference on Applications in Nonlinear
  Dynamics (ICAND 2016
Multi-criteria Group Decision Making with Private and Shared Criteria An Experiment

Collective decision processes remain a common management approach in most organizations. In such processes, it seems important to offer participants the opportunity to confront the differences in their points of view. To this end, cognitive and technical tools are required that facilitate the sharing of individuals’ reasoning and preferences, but at the same time allow them to keep some information and attitudes to themselves. The aim of our study is to assess whether, in the multi-criteria approach to problem structuring, decision-makers can be comfortable using shared criteria in addition to private criteria. For this purpose, an exploratory experiment with student subjects was conducted using the Group Decision Support System, GRUS
Isotope effect on the transition temperature $T_c$ in Fe-based
  superconductors: the current status

The results of the Fe isotope effect (Fe-IE) on the transition temperature
$T_c$ obtained up to date in various Fe-based high temperature superconductors
are summarized and reanalyzed by following the approach developed in [Phys.
Rev. B 82, 212505 (2010)]. It is demonstrated that the very controversial
results for Fe-IE on $T_c$ are caused by small structural changes occurring
simultaneously with the Fe isotope exchange. The Fe-IE exponent on $T_c$
[$\alpha_{\rm Fe}=-(\Delta T_c/T_c)/(\Delta M/M)$, $M$ is the isotope mass]
needs to be decomposed into two components with the one related to the
structural changes ($\alpha_{\rm Fe}^{\rm str}$) and the genuine (intrinsic)
one ($\alpha_{\rm Fe}^{\rm int}$). The validity of such decomposition is
further confirmed by the fact that $\alpha_{\rm Fe}^{\rm int}$ coincides with
the Fe-IE exponent on the characteristic phonon frequencies $\alpha_{\rm
Fe}^{\rm ph}$ as is reported in recent EXAFS and Raman experiments.Comment: 7 pages, 4 figures. The paper is partially based on the results
  published in [New J. Phys. 12, 073024 (2010) = arXiv:1002.2510] and [Phys.
  Rev. B 82, 212505 (2010) = arXiv:1008.4540
Thermal and Quantum critical Properties of overdoped
  La_{2-x}Sr_{x}CuO_{4}

We analyze the extended superfluid density data of Bo\v{z}ovi\'{c} \textit{
et al}. taken on homogenous thin films to explore the critical properties of
the thermal (TSM) and quantum superconductor to metal (QSM) transitions in
overdoped La$_{2-x}$Sr$_{x}$CuO$_{4}$. The temperature dependence reveals
remarkable agreement with d-wave BCS behavior, where $\sigma \propto 1/\lambda
^{2}$. No sign of the expected KTB transition is observable. We show that the
critical amplitude $\rho_{s0}=\rho_{s}\left( T\right) /\left( 1-T/T_{c}\right)
$ scales as $T_{c}\propto \rho_{s0}^{1/2}$ and with that as $T_{c}\propto
\rho_{s}\left( 0\right) $, empirically verified by Bo\v{z}ovi\'{c} \textit{et
al}. Together with additional evidence for BCS behavior in overdoped
La$_{2-x}$Sr$_{x}$CuO$_{4}$ we show that the scaling relation $T_{c}\propto
\lambda \left( 0\right) ^{-1}\propto \Delta \left( 0\right) \propto \xi \left(
0\right) ^{-1}\propto H_{c2}\left( 0\right) ^{-1/2}\propto
\lambda_{0}^{-1}\propto \Delta_{0}\propto \xi_{0}^{-1}\propto H_{c20}^{-1/2}$
applies, by approaching the QSM and TSM transitions. This differs from the
dirty limit behavior $\lambda \left( 0\right) \propto \xi \left( 0\right)
^{1/2}$, maintains the $T_{c}$ \ independence of the Ginzburg-Landau parameter
$\kappa =\lambda_{o}/\xi_{0}$, and puts a stringent constraint on the effect at
work. We notice that potential candidates appear to be the nonlocal effects on
the penetration depth of clean d-wave superconductors explored by Kosztin and
Legget
Towards an understanding of hole superconductivity

From the very beginning K. Alex M\"uller emphasized that the materials he and
George Bednorz discovered in 1986 were $hole$ superconductors. Here I would
like to share with him and others what I believe to be $the$ key reason for why
high $T_c$ cuprates as well as all other superconductors are hole
superconductors, which I only came to understand a few months ago. This paper
is dedicated to Alex M\"uller on the occasion of his 90th birthday.Comment: Dedicated to Alex M\"uller on the Occasion of his 90th Birthday.
  arXiv admin note: text overlap with arXiv:1703.0977
Providing interoperability for autonomic control of connected devices

In the IoT, data is exchanged and used by heterogeneous devices in machine-to-machine communications. Managing complex sys- tems is at the core of autonomic computing and a key topic in the IoT. Therefore, interoperability is a central issue, at both the syntactic and the semantic level. To tackle syntactic and architectural interoperabil- ity, standards allow systems to connect and exchange structured data. However, for data to be used, semantic interoperability must be ensured to provide meaning and consistency. In this paper we focus on providing syntactic and semantic interoperability in a home automation autonomic system
On the performance of key pre-distribution for RPL-based IoT Networks

A core ingredient of the the Internet of Things (IoT) is the use of deeply embedded resource constrained devices, often connected to the Internet over Low Power and Lossy\ud
Networks. These constraints compounded by the need for unsupervised operation within an untrusted environment create considerable challenges for the secure operation of these\ud
systems. In this paper, we propose a novel method to secure an edge IoT network using the concept of key pre-distribution proposed by Eschenauer and Gligor in the context of\ud
distributed sensor networks. First, we investigate the performance of the unmodified algorithm in the Internet of Things setting and then analyse the results with a view to determine its performance and thus its suitability in this context. Specifically, we investigate how ring size influences performance in order to determine the required ring size that guarantees full connectivity of the network. We then proceed to propose a novel RPL objective function and associated metrics that ensure that any node that joins the network can establish secure communication with Internet destinations.\ud
\ud
, N., , H., , Th., , Th., , A., , P
Social support and sense of loneliness in solitary older adults

Older people are vulnerable to loneliness and isolation. Solitary seniors are more likely to suffer the feelings of loneliness with inadequate social networks. Based on a face-to-face questionnaire survey with 151 community-dwelling solitary seniors, the present study examined the associations between social support and the sense of loneliness among solitary older adults in Hong Kong. The results showed that poor mental health status, financial inadequacy and weak social support networks were significantly associated with the sense of loneliness of solitary older adults, with social support being the most prominent risk factor. Frequent contacts with siblings, relatives or friends were found to be important sources of social support to combat loneliness. Policy and service implications are discussed
Human and Machine Judgements for Russian Semantic Relatedness

Semantic relatedness of terms represents similarity of meaning by a numerical
score. On the one hand, humans easily make judgments about semantic
relatedness. On the other hand, this kind of information is useful in language
processing systems. While semantic relatedness has been extensively studied for
English using numerous language resources, such as associative norms, human
judgments, and datasets generated from lexical databases, no evaluation
resources of this kind have been available for Russian to date. Our
contribution addresses this problem. We present five language resources of
different scale and purpose for Russian semantic relatedness, each being a list
of triples (word_i, word_j, relatedness_ij). Four of them are designed for
evaluation of systems for computing semantic relatedness, complementing each
other in terms of the semantic relation type they represent. These benchmarks
were used to organize a shared task on Russian semantic relatedness, which
attracted 19 teams. We use one of the best approaches identified in this
competition to generate the fifth high-coverage resource, the first open
distributional thesaurus of Russian. Multiple evaluations of this thesaurus,
including a large-scale crowdsourcing study involving native speakers, indicate
its high accuracy
Mycorrhization of fagaceae forests within mediterranean ecosystems

© Springer International Publishing AG 2017. All rights reserved. Mediterranean Fagaceae forests are valuable due to their ecological and socioeconomic aspects. Some profitable plant species, such as Castanea (timber and chestnut), Quercus (timber and cork), and Fagus (timber), encounter in this habitat the excellent edaphoclimatic conditions to develop. All Fagaceae plants are commonly associated to ECM fungal species, which are found in these forests in quite stable communities, mainly enriched in Russulaceae and Telephoraceae species. Currently, the Mediterranean Basin is considered as one of the global biodiversity hotspots, since many of their endemic plant species are not found elsewhere and are now under threat. Due to climate changing and introduction of disease agents, Fagaceae forests are facing an adaptation challenge to both biotic and abiotic threats. Although ECM communities are highly disturbed by climate factors and tree disease incidence, they could play an important role in increasing water availability to the plant and also improving plant tree defense against pathogens. Recent advances, namely, on genomics and transcriptomics, are providing tools for increasing the understanding of Fagaceae mycorrhization process and stress responses to biotic and abiotic stresses. Such studies can provide new information for the implementation of the most adequate management policies for protecting threaten Mediterranean forests.info:eu-repo/semantics/publishedVersio
ICWE 2016 rapid mashup challenge: Introduction

The ICWE 2016 Rapid Mashup Challenge is the second installment of a series of challenges that aim to engage researchers and practitioners in showcasing and discussing their work on assisting mashup development. This introduction provides the reader with the general context of the Challenge, its objectives and motivation, and the requirements contributions were asked to satisfy so as to be eligible for participation. A summary of the contributions that were selected for presentation in the 2016 edition anticipates the content of the remainder of this volume
On the Role of Context in the Design of Mobile Mashups

This paper presents a design methodology and an accompanying platform for the design and fast development of Context-Aware\ud
Mobile mashUpS (CAMUS). The approach is characterized by the role given to context as a first-class modeling dimension used to support i) the identification of the most adequate resources that can satisfy the users' situational needs and ii) the consequent tailoring at runtime of the provided data and functions. Context-based abstractions are exploited to generate models specifying how data returned by the selected services have to be merged and visualized by means of integrated views. Thanks\ud
to the adoption of Model-Driven Engineering (MDE) techniques, these models drive the flexible execution of the final mobile app on target mobile devices. A prototype of the platform, making use of novel and advanced Web and mobile technologies, is also illustrated
Design for Additive Manufacturing : Supporting Intrinsic-Motivated Creativity

Emotional aspects and designers’ motivations in Design For Additive Manufacturing are rarely studied. Still, as they can influence creative behaviors, it is worth of interest to draw some bases for a relation between designers’ motivations and the field of Additive Manufacturing. This paper aims at identifying the motivations that push designers to deal with AM in their practice. We have highlighted that they experience some extrinsic motivations: technical improvements, economics and social environments pressures. We also notice that creative designers, apart from AM, usually experience some intrinsic motivations and, moreover, that it exists an ideal state to generate creative concepts: the Flow. To support creative designers in DFAM in reaching the Flow, we then identified 4 key levers through the potential of AM: the newness of AM processes, the needed skill of 3D modelling, the investigation of new shape grammars and finally the opportunity of embodying concepts into physical objects. To benefit from this potential, we assume that designers’ intrinsic motivations should be supported: we identified three required conditions. The first one is the use of a proper vocabulary i.e the expression Additive Manufacturing instead of 3D Printing. The second one is the development of a design process which integrates a creative approach. The third condition is the use of AM objects as experience triggers during creative sessions to arise positive emotions
In-Medium Similarity Renormalization Group Approach to the Nuclear
  Many-Body Problem

We present a pedagogical discussion of Similarity Renormalization Group (SRG)
methods, in particular the In-Medium SRG (IMSRG) approach for solving the
nuclear many-body problem. These methods use continuous unitary transformations
to evolve the nuclear Hamiltonian to a desired shape. The IMSRG, in particular,
is used to decouple the ground state from all excitations and solve the
many-body Schr\"odinger equation. We discuss the IMSRG formalism as well as its
numerical implementation, and use the method to study the pairing model and
infinite neutron matter. We compare our results with those of Coupled cluster
theory, Configuration-Interaction Monte Carlo, and the Self-Consistent Green's
Function approach. The chapter concludes with an expanded overview of current
research directions, and a look ahead at upcoming developments.Comment: 73 pages, to appear in Lecture Notes in Physics (Springer), "An
  advanced course in computational nuclear physics: Bridging the scales from
  quarks to neutron stars", edited by M. Hjorth-Jensen, M. P. Lombardo, and U.
  van Kolc
Self-consistent Green's function approaches

We present the fundamental techniques and working equations of many-body
Green's function theory for calculating ground state properties and the
spectral strength. Green's function methods closely relate to other polynomial
scaling approaches discussed in chapters 8 and 10. However, here we aim
directly at a global view of the many-fermion structure. We derive the working
equations for calculating many-body propagators, using both the Algebraic
Diagrammatic Construction technique and the self-consistent formalism at finite
temperature. Their implementation is discussed, as well as the inclusion of
three-nucleon interactions. The self-consistency feature is essential to
guarantee thermodynamic consistency. The pairing and neutron matter models
introduced in previous chapters are solved and compared with the other methods
in this book.Comment: 58 pages, 14 figures, Submitted to Lect. Notes Phys., "An advanced
  course in computational nuclear physics: Bridging the scales from quarks to
  neutron stars", M. Hjorth-Jensen, M. P. Lombardo, U. van Kolck, Editor
General aspects of effective field theories and few-body applications

Effective field theory provides a powerful framework to exploit a separation
of scales in physical systems. In these lectures, we discuss some general
aspects of effective field theories and their application to few-body physics.
In particular, we consider an effective field theory for non-relativistic
particles with resonant short-range interactions where certain parts of the
interaction need to be treated nonperturbatively. As an application, we discuss
the so-called pionless effective field theory for low-energy nuclear physics.
The extension to include long-range interactions mediated by photon and
pion-exchange is also addressed.Comment: 46 pages, 16 figures. Lectures prepared for the ECT* Doctoral
  Training Program, "Computational Nuclear Physics", April 13 - May 22, 2015.
  Submitted to Lect. Notes Phys., "An advanced course in computational nuclear
  physics: Bridging the scales from quarks to neutron stars", M. Hjorth-Jensen,
  M. P. Lombardo, U. van Kolck, Editor
Lattice methods and effective field theory

Lattice field theory is a non-perturbative tool for studying properties of
strongly interacting field theories, which is particularly amenable to
numerical calculations and has quantifiable systematic errors. In these
lectures we apply these techniques to nuclear Effective Field Theory (EFT), a
non-relativistic theory for nuclei involving the nucleons as the basic degrees
of freedom. The lattice formulation of [1,2] for so-called pionless EFT is
discussed in detail, with portions of code included to aid the reader in code
development. Systematic and statistical uncertainties of these methods are
discussed at length, and extensions beyond pionless EFT are introduced in the
final Section.Comment: Lectures prepared for the ECT* Doctoral Training Program,
  "Computational Nuclear Physics", April 13 - May 22, 2015. Submitted to Lect.
  Notes Phys., "An advanced course in computational nuclear physics: Bridging
  the scales from quarks to neutron stars", Morten Hjorth-Jensen, Maria Paola
  Lombardo, Ubirajara van Kolck, Editors. Code to be included online with
  published versio
Lattice methods and the nuclear few- and many-body problem

We begin with a brief overview of lattice calculations using chiral effective
field theory and some recent applications. We then describe several methods for
computing scattering on the lattice. After that we focus on the main goal,
explaining the theory and algorithms relevant to lattice simulations of nuclear
few- and many-body systems. We discuss the exact equivalence of four different
lattice formalisms, the Grassmann path integral, transfer matrix operator,
Grassmann path integral with auxiliary fields, and transfer matrix operator
with auxiliary fields. Along with our analysis we include several coding
examples and a number of exercises for the calculations of few- and many-body
systems at leading order in chiral effective field theory.Comment: 20 pages, 3 figures, Submitted to Lect. Notes Phys., "An advanced
  course in computational nuclear physics: Bridging the scales from quarks to
  neutron stars", M. Hjorth-Jensen, M. P. Lombardo, U. van Kolck, Editor
Computational Nuclear Physics and Post Hartree-Fock Methods

We present a computational approach to infinite nuclear matter employing
Hartree-Fock theory, many-body perturbation theory and coupled cluster theory.
These lectures are closely linked with those of chapters 9, 10 and 11 and serve
as input for the correlation functions employed in Monte Carlo calculations in
chapter 9, the in-medium similarity renormalization group theory of dense
fermionic systems of chapter 10 and the Green's function approach in chapter
11. We provide extensive code examples and benchmark calculations, allowing
thereby an eventual reader to start writing her/his own codes. We start with an
object-oriented serial code and end with discussions on strategies for porting
the code to present and planned high-performance computing facilities.Comment: 82 pages, to appear in Lecture Notes in Physics (Springer), "An
  advanced course in computational nuclear physics: Bridging the scales from
  quarks to neutron stars", M. Hjorth-Jensen, M. P. Lombardo, U. van Kolck,
  Editor