pinecone/core-2020-05-10-deduplication huggingface dataset:
The Significance of Measurement Independence for Bell Inequalities and Locality

A local and deterministic model of quantum correlations is always possible, as shown explicitly by Brans in 1988: one simply needs the physical systems being measured to have a suitable statistical correlation with the physical systems performing the measurement, via some common cause. Hence, to derive no-go results such as Bell inequalities, an assumption of measurement independence is crucial. It is a surprisingly strong assumption—less than 1 / 15 bits of prior correlation suffice for a local model of the singlet state of two qubits—with ramifications for the security of quantum communication protocols. Indeed, without this assumption, any statistical correlations whatsoever—even those which appear to allow explicit superluminal signalling—have a corresponding local deterministic model. It is argued that ‘quantum nonlocality’ is bad terminology, and that measurement independence does not equate to ‘experimental free will’. Brans’ 1988 model is extended to show that no more than   2logd  bits of prior correlation are required for a local deterministic model of the correlations between any two d-dimensional quantum systems.Griffith Sciences, School of Natural SciencesFull Tex
Next generation network (NGN) challenges on access networks

Telecom infrastructures are facing unprecedented challenges, with increasing demands on network capacity. With the increased demand for high-speed data services and the constant evolution of broadband access technologies, operators are faced with a number of issues when choosing the technology and building the network. Today, network operators are facing the challenge of how to expand the existing access network infrastructure into networks capable of satisfying the user’s requirements. Thus, in this context, providers need to identify the technological solution that enables them to profitably serve customers and support future needs. However, the identification of the “best” solution is a difficult task.info:eu-repo/semantics/publishedVersio
Broadband access and digital divide

It is recognized that there is a disparity between broadband availability in urban and rural areas. The pre-existing telecommunications infrastructure is generally poor and unevenly distributed in favor of urban centers. In most rural areas, low population density and high deployment costs discourage private investments, creating a negative feedback of limited capacity, high prices, and low service demand. Building telecommunications networks in rural areas is costly. Further, in many cases, there is not a good commercial business case for rural deployments. Whereas established and competitive service providers already offer solutions for urban and suburban areas, there is little or no commitment to connect areas that include smaller towns and rural villages. The deployment of access network broadband services on low-competition areas is characterized by low subscriber densities, longer loop lengths, lower duct availability, and consequently higher infrastructure cost compared to high-competition areas.info:eu-repo/semantics/publishedVersio
Pervasive patient timeline for intensive care units

This research work explores a new way of presenting and representing information about patients in critical care, which is the use of a timeline to display information. This is accomplished with the development of an interactive Pervasive Patient Timeline able to give to the intensivists an access in real-time to an environment containing patients clinical information from the moment in which the patients are admitted in the Intensive Care Unit (ICU) until their discharge This solution allows the intensivists to analyse data regarding vital signs, medication, exams, data mining predictions, among others. Due to the pervasive features, intensivists can have access to the timeline anywhere and anytime, allowing them to make decisions when they need to be made. This platform is patient-centred and is prepared to support the decision process allowing the intensivists to provide better care to patients due the inclusion of clinical forecasts.FCT -Fundação para a Ciência e a Tecnologia(PTDC/EEI-SII/1302/2012
Pervasive decision support to predict football corners and goals by means of data mining

Football is considered nowadays one of the most popular sports. In the betting world, it has acquired an outstanding position, which moves millions of euros during the period of a single football match. The lack of profitability of football betting users has been stressed as a problem. This lack gave origin to this research proposal, which it is going to analyse the possibility of existing a way to support the users to increase their profits on their bets. Data mining models were induced with the purpose of supporting the gamblers to increase their profits in the medium/long term. Being conscience that the models can fail, the results achieved by four of the seven targets in the models are encouraging and suggest that the system can help to increase the profits. All defined targets have two possible classes to predict, for example, if there are more or less than 7.5 corners in a single game. The data mining models of the targets, more or less than 7.5 corners, 8.5 corners, 1.5 goals and 3.5 goals achieved the pre-defined thresholds. The models were implemented in a prototype, which it is a pervasive decision support system. This system was developed with the purpose to be an interface for any user, both for an expert user as to a user who has no knowledge in football games.Future  work  will  pass  for  adding  new  variables  to  these  models,  to  try  different  scenar ios in order to obtain models with even greater precision to be added later to the  prototype. In  parallel, the prototype will be converted in to a system able to disseminate  all the probabilities anywhere and anytime in mobile or situated devices. This prot otype  also will incorporate the other predictions made in this field related to the final result [22, 23, 24]. Acknowledgments This work has been supported by FCT  - Fundação para a Ciência e Tecnologia within  the Project Scope UID/CEC/00319/201
Towards a pervasive data mining engine: architecture overview

Current data mining engines are difficult to use, requiring optimizations by data mining experts in order to provide optimal results. To solve this problem a new concept was devised, by maintaining the functionality of current data mining tools and adding pervasive characteristics such as invisibility and ubiquity which focus on their users, providing better ease of use and usefulness, by providing autonomous and intelligent data mining processes. This article introduces an architecture to implement a data mining engine, composed by four major components: database; Middleware (control); Middleware (processing); and interface. These components are interlinked but provide independent scaling, allowing for a system that adapts to the user’s needs. A prototype has been developed in order to test the architecture. The results are very promising and showed their functionality and the need for further improvements.FCT -Fundação para a Ciência e a Tecnologia(PTDC/EEI-SII/1302/2012
Pervasive adaptive data acquisition gateway for critical healthcare

The data acquisition process in real-time is fundamental to provide appropriate services and improve health professionals decision. In this paper a pervasive adaptive data acquisition architecture of medical devices (e.g. vital signs, ventilators and sensors) is presented. The architecture was deployed in a real context in an Intensive Care Unit. It is providing clinical data in real-time to the INTCare system. The gateway is composed by several agents able to collect a set of patients’ variables (vital signs, ventilation) across the network.
The paper shows as example the ventilation acquisition process. The clients are installed in a machine near the patient bed. Then they are connected to the ventilators and the data monitored is sent to a  multithreading server which using Health Level Seven protocols records the data in the database. The agents associated to gateway are able to collect, analyse, interpret and store the data in the repository. This gateway is composed by a fault tolerant system that ensures a data store in the database even if the agents are disconnected. The gateway is pervasive, universal, and interoperable and it is able to adapt to any service using streaming data.This work has been supported by FCT - Fundacao para a Ciencia e Tecnologia within the Project Scope UID/CEC/00319/2013 and the contract PTDC/EEI-SII/1302/2012
Predicting triage waiting time in maternity emergency care by means of data mining

Healthcare organizations often benefit from information technologies
as well as embedded decision support systems, which improve the quality of
services and help preventing complications and adverse events. In Centro
Materno Infantil do Norte (CMIN), the maternal and perinatal care unit of
Centro Hospitalar of Oporto (CHP), an intelligent pre-triage system is
implemented, aiming to prioritize patients in need of gynaecology and
obstetrics care in two classes: urgent and consultation. The system is designed
to evade emergency problems such as incorrect triage outcomes and extensive
triage waiting times. The current study intends to improve the triage system,
and therefore, optimize the patient workflow through the emergency room, by
predicting the triage waiting time comprised between the patient triage and their
medical admission. For this purpose, data mining (DM) techniques are induced
in selected information provided by the information technologies implemented
in CMIN. The DM models achieved accuracy values of approximately 94%
with a five range target distribution, which not only allow obtaining confident
prediction models, but also identify the variables that stand as direct inducers to
the triage waiting times.Fundação para a Ciência e Tecnologia within  the Project  Scope UID/CEC/00319/201
Critical events in mechanically ventilated patients

Mechanical Ventilation is an artificial way to help a Patient to breathe. This procedure is used to support patients with respiratory diseases however in many cases it can provoke lung damages, Acute Respiratory Diseases or organ failure. With the goal to early detect possible patient breath problems a set of limit values was defined to some variables monitored by the ventilator (Average Ventilation Pressure, Compliance Dynamic, Flow, Peak, Plateau and Support Pressure, Positive end-expiratory pressure, Respiratory Rate) in order to create critical events. A critical event is verified when a patient has a value higher or lower than the normal range defined for a certain period of time. The values were defined after elaborate a literature review and meeting with physicians specialized in the area. This work uses data streaming and intelligent agents to process the values collected in real-time and classify them as critical or not. Real data provided by an Intensive Care Unit were used to design and test the solution. In this study it was possible to understand the importance of introduce critical events for Mechanically Ventilated Patients. In some cases a value is considered critical (can trigger an alarm) however it is a single event (instantaneous) and it has not a clinical significance for the patient. The introduction of critical events which crosses a range of values and a pre-defined duration contributes to improve the decision-making process by decreasing the number of false positives and having a better comprehension of the patient condition.- Fundação para a Ciência e Tecnologia within  the Project Scope UID/CEC/00319/2013 . The  authors  would  like  to  thank  FCT  (Foundation  of  Science  and  Technology,  Portugal)  for  the  financial  support  through  the  contract  PTDC/EEI-SII/1302/2012  (INTCare II
Optimization techniques to detect early ventilation extubation in intensive care units

The decision support models in intensive care units are developed to support medical staff in their decision making process. However, the optimization of these models is particularly difficult to apply due to dynamic, complex and multidisciplinary nature. Thus, there is a constant research and development of new algorithms capable of extracting knowledge from large volumes of data, in order to obtain better predictive results than the current algorithms. To test the optimization techniques a case study with real data provided by INTCare project was explored. This data is concerning to extubation cases. In this dataset, several models like Evolutionary Fuzzy Rule Learning, Lazy Learning, Decision Trees and many others were analysed in order to detect early extubation. The hydrids Decision Trees Genetic Algorithm, Supervised Classifier System and KNNAdaptive obtained the most accurate rate 93.2%, 93.1%, 92.97% respectively, thus showing their feasibility to work in a real environment.This work has been supported by FCT-Fundação para a Ciência e Tecnologia within the Project Scope UID/CEC/00319/2013.  The authors would like to thank FCT for the  financial support through the contract PTDC/EEI - SII/1302/2012 (INTCare II
OntoMP, an ontology to build the museum of the person

This paper is concerned with the creation of a specific ontology for the knowledge repository of the Museum of the Person (Museu da Pessoa). The Museum of the Person assets are composed of several interviews (collected previously for a large cultural project) involving common people, to perpetuate their life stories. The museum holds an heterogeneous collection of XML documents. In such format, the collection items are many times not recognizable and understandable by the visitors who wish to explore it. Therefore, we intend to use an ontology that allows a conceptual navigation over the available information, enabling the visitors to extract knowledge during the visit to these life stories. So, this paper aims at presenting the ontology we have developed using CIDOC Conceptual Reference Model (CIDOC-CRM)[1] to enable visitors to lookup individual life stories, read them, and also intercross information among a cluster of life stories to build up the story of a company/institution or to study social behaviors and customs.This work has been supported by FCT - Fundacao para a Ciencia e Tecnologia within the Project Scope: UID/CEC/00319/2013. The work of Ricardo G. Martini is supported by CNPq, grant 201772/2014-0.info:eu-repo/semantics/publishedVersio
Reuse and integration of specification logics: the hybridisation perspective

Hybridisation is a systematic process along which the characteristic features
of hybrid logic, both at the syntactic and the semantic levels, are developed on
top of an arbitrary logic framed as an institution. It also captures the construction
of first-order encodings of such hybridised institutions into theories in first-order
logic. The method was originally developed to build suitable logics for the specification
of reconfigurable software systems on top of whatever logic is used to describe
local requirements of each system’s configuration. Hybridisation has, however, a
broader scope, providing a fresh example of yet another development in combining
and reusing logics driven by a problem from Computer Science. This paper offers an
overview of this method, proposes some new extensions, namely the introduction of
full quantification leading to the specification of dynamic modalities, and exemplifies
its potential through a didactical application. It is discussed how hybridisation
can be successfully used in a formal specification course in which students progress
from equational to hybrid specifications in a uniform setting, integrating paradigms,
combining data and behaviour, and dealing appropriately with systems evolution and
reconfiguration.This work is financed by the ERDF—European Regional Development Fund
through the Operational Programme for Competitiveness and Internationalisation—COMPETE
2020 Programme, and by National Funds through the FCT (Portuguese Foundation for Science
and Technology) within project POCI-01-0145-FEDER-006961. M. Martins was further
supported by project UID/MAT/04106/2013. A. Madeira and R. Neves research was carried
out in the context of a post-doc and a Ph.D. grant with references SFRH/BPD/103004/2014
and SFRH/BD/52234/2013, respectively. L.S. Barbosa is also supported by SFRH/BSAB/
113890/2015
Nonsingular black holes in Palatini extensions of General Relativity

An introduction to extended theories of gravity formulated in metric-affine
(or Palatini) spaces is presented. Focusing on spherically symmetric
configurations with electric fields, we will see that in these theories the
central singularity present in General Relativity is generically replaced by a
wormhole structure. The resulting space-time becomes geodesically complete and,
therefore, can be regarded as non-singular. We illustrate these properties
considering two different models, namely, a quadratic $f(R)$ theory and a
Born-Infeld like gravity theory.Comment: 37 pages, 3 figures. Lecture notes published as a chapter in the book
  "Theoretical Frontiers in Black Holes and Cosmology", Springer Proceedings in
  Physics, Eds. R. Kallosh and E. Orazi, (2016
A unifying E2-quasi-exactly solvable model

A new non-Hermitian E2-quasi-exactly solvable model is constructed containing
two previously known models of this type as limits in one of its three
parameters. We identify the optimal finite approximation to the double scaling
limit to the complex Mathieu Hamiltonian. A detailed analysis of the vicinity
of the exceptional points in the parameter space is provided by discussing the
branch cut structures responsible for the chirality when exceptional points are
surrounded and the structure of the corresponding energy eigenvalue loops
stretching over several Riemann sheets. We compute the Stieltjes measure and
momentum functionals for the coefficient functions that are univariate weakly
orthogonal polynomials in the energy obeying three-term recurrence relations.Comment: 14 pages, 5 figures, prepared for Selected Contributions in Springer
  Proceedings in Physic
Sublattice signatures of transitions in a $\mathcal{PT}$-symmetric dimer
  lattice

Lattice models with non-hermitian, parity and time-reversal ($\mathcal{PT}$)
symmetric Hamiltonians, realized most readily in coupled optical systems, have
been intensely studied in the past few years. A $\mathcal{PT}$-symmetric dimer
lattice consists of dimers with intra-dimer coupling $\nu$, inter-dimer
coupling $\nu'$, and balanced gain and loss potentials $\pm i\gamma$ within
each dimer. This model undergoes two independent transitions, namely a
$\mathcal{PT}$-breaking transition and a topological transition. We numerically
and analytically investigate the signatures of these transitions in the
time-evolution of states that are initially localized on the gain-site or the
loss-site.Comment: 13 pages, 4 figure
Quantization of Big Bang in crypto-Hermitian Heisenberg picture

A background-independent quantization of the Universe near its Big Bang
singularity is considered using a drastically simplified toy model. Several
conceptual issues are addressed.
  (1) The observable spatial-geometry characteristics of our empty-space
expanding Universe is sampled by the time-dependent operator $Q=Q(t)$ of the
distance between two space-attached observers (``Alice and Bob'').
  (2) For any pre-selected guess of the simple, non-covariant time-dependent
observable $Q(t)$ one of the Kato's exceptional points (viz., $t=\tau_{(EP)}$)
is postulated {\em real-valued}. This enables us to treat it as the time of Big
Bang.
  (3) During our ``Eon'' (i.e., at all $t>\tau_{(EP)}$) the observability
status of operator $Q(t)$ is mathematically guaranteed by its self-adjoint
nature with respect to an {\em ad hoc} Hilbert-space metric $\Theta(t) \neq I$.
  (4) In adiabatic approximation (i.e., in Heisenberg picture) the passage of
the Universe through its $t=\tau_{(EP)}$ singularity is interpreted as a
quantum phase transition between the preceding and the present Eon.
  It is worth adding that in our model the widely accepted ``Big Bounce''
regularization of the classical Big Bang singularity after quantization gets
replaced by the full-fledged quantum degeneracy. At the
quantum-phase-transition singularity, operator $Q(\tau_{(EP)})$ becomes
unobservable and acquires a non-diagonalizable Jordan-block structure.Comment: 16 pp., 9 figures, written version of the talk presented to the PHHQP
  XIII conference in Jerusalem (see http://www.as.huji.ac.il/isf/phhqp13). The
  videorecorded form of the talk is available, under number 18, here:
  http://www.as.huji.ac.il/node/87
Localised nonlinear modes in the PT-symmetric double-delta well
  Gross-Pitaevskii equation

We construct exact localised solutions of the PT-symmetric Gross-Pitaevskii
equation with an attractive cubic nonlinearity. The trapping potential has the
form of two $\delta$-function wells, where one well loses particles while the
other one is fed with atoms at an equal rate. The parameters of the constructed
solutions are expressible in terms of the roots of a system of two
transcendental algebraic equations. We also furnish a simple analytical
treatment of the linear Schr\"odinger equation with the PT-symmetric
double-$\delta$ potential.Comment: To appear in Proceedings of the 15 Conference on Pseudo-Hermitian
  Hamiltonians in Quantum Physics, May 18-23 2015, Palermo, Italy (Springer
  Proceedings in Physics, 2016
Exactly solvable Wadati potentials in the PT-symmetric Gross-Pitaevskii
  equation

This note examines Gross-Pitaevskii equations with PT-symmetric potentials of
the Wadati type: $V=-W^2+iW_x$. We formulate a recipe for the construction of
Wadati potentials supporting exact localised solutions. The general procedure
is exemplified by equations with attractive and repulsive cubic nonlinearity
bearing a variety of bright and dark solitons.Comment: To appear in Proceedings of the 15 Conference on Pseudo-Hermitian
  Hamiltonians in Quantum Physics, May 18-23 2015, Palermo, Italy (Springer
  Proceedings in Physics, 2016
Cohabitation and marriage in the Americas : geo-historical legacies and new trends

This volume presents an innovative study of the rise of unmarried cohabitation in the Americas, from Canada to Argentina. Using an extensive sample of individual census data for nearly all countries on the continent, it offers a cross-national, comparative view of this recent demographic trend and its impact on the family. The book offers a tour of the historical legacies and regional heterogeneity in unmarried cohabitation, covering: Canada, the United States, Mexico, Central America, Colombia, the Andean region, Brazil, and the Southern Cone. It also explores the diverse meanings of cohabitation from a cross-national perspective and examines the theoretical implications of recent developments on family change in the Americas. The book uses data from the Integrated Public Use Microdata Series, International (IPUMS), a project dedicated to collecting and distributing census data from around the world. This large sample size enables an empirical testing of one of the currently most powerful explanatory frameworks for changes in family formation around the world, the theory of the Second Demographic Transition. With its unique geographical scope, this book will provide researchers with a new understanding into the spectacular rise in premarital cohabitation in the Americas, which has become one of the most salient trends in partnership formation in the region