pinecone/core-2020-05-10-deduplication huggingface dataset:
Generating Different Story Tellings from Semantic Representations of
  Narrative

In order to tell stories in different voices for different audiences,
interactive story systems require: (1) a semantic representation of story
structure, and (2) the ability to automatically generate story and dialogue
from this semantic representation using some form of Natural Language
Generation (NLG). However, there has been limited research on methods for
linking story structures to narrative descriptions of scenes and story events.
In this paper we present an automatic method for converting from Scheherazade's
story intention graph, a semantic representation, to the input required by the
Personage NLG engine. Using 36 Aesop Fables distributed in DramaBank, a
collection of story encodings, we train translation rules on one story and then
test these rules by generating text for the remaining 35. The results are
measured in terms of the string similarity metrics Levenshtein Distance and
BLEU score. The results show that we can generate the 35 stories with correct
content: the test set stories on average are close to the output of the
Scheherazade realizer, which was customized to this semantic representation. We
provide some examples of story variations generated by personage. In future
work, we will experiment with measuring the quality of the same stories
generated in different voices, and with techniques for making storytelling
interactive.Comment: International Conference on Interactive Digital Storytelling (ICIDS
  2013
Solving Fuzzy Job-Shop Scheduling Problems with a Multiobjective Optimizer

International audienceIn real-world manufacturing environments, it is common to face a job-shop scheduling problem (JSP) with uncertainty. Among different sources of uncertainty, processing times uncertainty is the most common. In this paper, we investigate the use of a multiobjective genetic algorithm to address JSPs with uncertain durations. Uncertain durations in a JSP are expressed by means of triangular fuzzy numbers (TFNs). Instead of using expected values as in other work, we consider all vertices of the TFN representing the overall completion time. As a consequence, the proposed approach tries to obtain a schedule that optimizes the three component scheduling problems (corresponding to the lowest, most probable, and largest durations) all at the same time. In order to verify the quality of solutions found by the proposed approach, an experimental study was carried out across different benchmark instances. In all experiments, comparisons with previous approaches that are based on a single-objective genetic algorithm were also performed
Structure-preserving shock-capturing methods: late-time asymptotics, curved geometry, small-scale dissipation, and nonconservative products

International audienceWe consider weak solutions to nonlinear hyperbolic systems of conservation laws arising in compressible fluid dynamics and we describe recent work on the design of structure-preserving numerical methods. We focus on preserving, on one hand, the late-time asymptotics of solutions and, on the other hand, the geometrical effects that arise in certain applications involving curved space. First, we study here nonlinear hyperbolic systems with stiff relaxation in the late time regime. By performing a singular analysis based on a Chapman– Enskog expansion, we derive an effective system of parabolic type and we introduce a broad class of finite volume schemes which are consistent and accurate even for asymptotically late times. Second, for nonlinear hyperbolic conservation laws posed on a curved manifold, we formulate geometrically consistent finite volume schemes and, by generalizing the Cockburn–Coquel–LeFloch's theorem, we establish the strong convergence of the approximate solutions toward entropy solutions
Shakespeare, William.

William Shakespeare (1564–1616) is the world’s most highly acclaimed literary figure, known for his plays and poems. Shakespeare is celebrated for his comic touch; kaleidoscopic, tightly structured verse; and genial sense of human nature, manifest in finely detailed individual characterization. Less widely recognized, however, is the depth of his engagement with classical and contemporary philosophy, which bears comparison to more obviously learned contemporaries such as Michel de Montaigne (1533–1592), John Case (c. 1540–1600), and Justus Lipsius (1547–1606)
FIB patterning of stainless steel for the development of nano-structured stent surfaces for cardiovascular applications

Stent implantation is a percutaneous interventional procedure that mitigates vessel stenosis, providing mechanical support within the artery and as such a very valuable tool in the fight against coronary artery disease. However, stenting causes physical damage to the arterial wall. It is well accepted that a valuable route to reduce in-stent re-stenosis can be based on promoting cell response to nano-structured stainless steel (SS) surfaces such as by patterning nano-pits in SS. In this regard patterning by focused ion beam (FIB) milling offers several advantages for flexible prototyping. On the other hand FIB patterning of polycrystalline metals is greatly influenced by channelling effects and redeposition. Correlative microscopy methods present an opportunity to study such effects comprehensively and derive structure–property understanding that is important for developing improved patterning. In this chapter we present a FIB patterning protocol for nano-structuring features (concaves) ordered in rectangular arrays on pre-polished 316L stainless steel surfaces. An investigation based on correlative microscopy approach of the size, shape and depth of the developed arrays in relation to the crystal orientation of the underlying SS domains is presented. The correlative microscopy protocol is based on cross-correlation of top-view scanning electron microscopy, electron backscattering diffraction, atomic force microscopy and cross-sectional (serial) sectioning. Various FIB tests were performed, aiming at improved productivity by preserving nano-size accuracy of the patterned process. The optimal FIB patterning conditions for achieving reasonably high throughput (patterned rate of about 0.03 mm2/h) and nano-size accuracy in dimensions and shapes of the features are discussed as well
Object Recognition and Modeling Using SIFT Features

In this paper we present a technique for object recognition and modelling based on local image features matching. Given a complete set of views of an object the goal of our technique is the recognition of the same object in an image of a cluttered environment containing the object and an estimate of its pose. The method is based on visual modeling of objects from a multi-view representation of the object to recognize. The first step consists of creating object model, selecting a subset of the available views using SIFT descriptors to evaluate image similarity and relevance. The selected views are then assumed as the model of the object and we show that they can effectively be used to visually represent the main aspects of the object.\ud
Recognition is done making comparison between the image containing an object in generic position and the views selected as object models. Once an object has been recognized the pose can be estimated searching the complete set of views of the object. Experimental results are very encouraging using both a private dataset we acquired in our lab and a publicly available dataset
Brain Behavior in Learning and Memory Recall Process: A High-Resolution EEG Analysis

Learning is a cognitive process, which leads to create new memory. Today, multimedia contents are common-ly used in classroom for learning. This study investigated brain physiological behavior during learning and memory process using multimedia contents and Electroencephalogram (EEG) method. Fifteen healthy subjects voluntarily participated and performed three experimental tasks: i) Intelligence task, ii) learning task, and iii) recall task. EEG was recorded duration learning and memory recall task using 128 channels Hydro Cel Geodesic Net system (EGI Inc., USA) with recommended specifications. EEG source localization showed that deep brain medial temporal region was highly activated during learning task. EEG theta band in frontal and parietal regions and gamma band at left posterior temporal and frontal regions differentiated successful memory recall. This study provides additional understanding of successful memory recall that complements earlier brain mapping studies
APQL : a process-model query language

As business process management technology matures, organisations acquire more and more business process models. The management of the resulting collections of process models poses real challenges. One of these challenges concerns model retrieval where support should be provided for the formulation and efficient execution of business process model queries. As queries based on only structural information cannot deal with all querying requirements in practice, there should be support for queries that require knowledge of process model semantics. In this paper we formally define a process model query language that is based on semantic relationships between tasks in process models and is independent of any particular process modelling notation
A methodological evaluation of business process compliance management frameworks

Existing compliance management frameworks (CMFs) offer a multitude of compliance management capabilities that makes difficult for enterprises to decide on the suitability of a framework. Making a decision on the suitability requires a deep understanding of the functionalities of a framework. Gaining such an understanding is a difficult task which, in turn, requires specialised tools and methodologies for evaluation. Current compliance research lacks such tools and methodologies for evaluating CMFs. This paper reports a methodological evaluation of existing CMFs based on a pre-defined evaluation criteria. Our evaluation highlights what existing CMFs offer, and what they cannot. Also, it underpins various open questions and discusses the challenges in this direction
Symbolic Toolkit for Chaos Explorations

New computational technique based on the symbolic description utilizing
kneading invariants is used for explorations of parametric chaos in a two
exemplary systems with the Lorenz attractor: a normal model from mathematics,
and a laser model from nonlinear optics. The technique allows for uncovering
the stunning complexity and universality of the patterns discovered in the
bi-parametric scans of the given models and detects their organizing centers --
codimension-two T-points and separating saddles.Comment: International Conference on Theory and Application in Nonlinear
  Dynamics (ICAND 2012
Recent advances on information transmission and storage assisted by
  noise

The interplay between nonlinear dynamic systems and noise has proved to be of
great relevance in several application areas. In this presentation, we focus on
the areas of information transmission and storage. We review some recent
results on information transmission through nonlinear channels assisted by
noise. We also present recent proposals of memory devices in which noise plays
an essential role. Finally, we discuss new results on the influence of noise in
memristors.Comment: To be published in "Theory and Applications of Nonlinear Dynamics:
  Model and Design of Complex Systems", Proceedings of ICAND 2012 (Springer,
  2014
Transmission of packets on a hierarchical network: Avalanches,
  statistics and explosive percolation

We discuss transport on load bearing branching hierarchical networks which
can model diverse systems which can serve as models of river networks, computer
networks, respiratory networks and granular media. We study avalanche
transmissions and directed percolation on these networks, and on the V lattice,
i.e., the strongest realization of the lattice. We find that typical
realizations of the lattice show multimodal distributions for the avalanche
transmissions, and a second order transition for directed percolation. On the
other hand, the V lattice shows power - law behavior for avalanche
transmissions, and a first order (explosive) transition to percolation. The V
lattice is thus the critical case of hierarchical networks. We note that small
perturbations to the V lattice destroy the power-law behavior of the
distributions, and the first order nature of the percolation. We discuss the
implications of our results.Comment: 10 Pages, 11 Figures, Published in (Chapter 17) International
  Conference on Theory and Application in Nonlinear Dynamics (ICAND 2012),
  Understanding Complex System
Resistive Switching Assisted by Noise

We extend results by Stotland and Di Ventra on the phenomenon of resistive
switching aided by noise. We further the analysis of the mechanism underlying
the beneficial role of noise and study the EPIR (Electrical Pulse Induced
Resistance) ratio dependence with noise power. In the case of internal noise we
find an optimal range where the EPIR ratio is both maximized and independent of
the preceding resistive state. However, when external noise is considered no
beneficial effect is observed.Comment: To be published in "Theory and Applications of Nonlinear Dynamics:
  Model and Design of Complex Systems", Proceedings of ICAND 2012 (Springer,
  2013
Improving domiciliary robotic services by integrating the ASTRO Robot in an AmI Infrastructure

This work describes the ECHORD Experiment ASTROMOBILE, a project aimed to design, develop and test a system for favourable independent living, improved quality of life and efficiency of care for senior citizens in domestic environments. The system, composed of a mobile robotic platform (called ASTRO) and an Ambient Intelligent Infrastructure that actively cooperated between them and with the end-user, was designed and implemented with a user-centred design approach, involving different stakeholders. The system was designed to deliver services to users, like drug delivery, stand support, reminding, info-entertainment. The design took advantages of the integration of robotic platforms with smart environments, to provide to users higher quality and localization based services. Senior end-users were involved in the experimentation of the system in the DomoCasa Living Lab and feedbacks were gathered for the technology assessment. Particularly, this paper demonstrates the general feasibility of the ASTROMOBILE system and thanks to users feedbacks its acceptability and usability
Synchrotron-radiation studies of topological insulators

Topological insulators (TIs) are a recently discovered class of quantum
materials that are currently attracting considerable attention. The most
interesting aspect of the TIs is, in fact, not that they are bulk insulators
but that their surfaces support localized metallic states with some special
properties, among others a characteristic spin texture. Most importantly, the
existence of these metallic states is not a a surface property; it is required
by the topology of the bulk band structure. This Chapter gives an accessible
introduction into the physics and band structure of TI materials and into the
study of TIs with synchrotron radiation-based techniques, in particular
angle-resolved photoemission spectroscopy (ARPES).Comment: 23 pages, 14 figures, submitted to Springer Proceedings in Physics
  (VIth International Mittelwihr School on Magnetism and Synchrotron Radiation
Disc formation in turbulent cloud cores: Circumventing the magnetic
  braking catastrophe

We present collapse simulations of strongly magnetised, 100 M_sun, turbulent
cloud cores. Around the protostars formed during the collapse Keplerian discs
with typical sizes of up to 100 AU build up in contrast to previous simulations
neglecting turbulence. Analysing the condensations in which the discs form, we
show that the magnetic flux loss is not sufficient to explain the build-up of
Keplerian discs. The average magnetic field is strongly inclined to the disc
which might reduce the magnetic braking efficiency. However, the main reason
for the reduced magnetic braking efficiency is the highly disordered magnetic
field in the surroundings of the discs. Furthermore, due to the lack of a
coherently rotating structure in the turbulent environment of the disc no
toroidal magnetic field necessary for angular momentum extraction can build up.
Simultaneously the angular momentum inflow remains high due to local shear
flows created by the turbulent motions. We suggest that the "magnetic braking
catastrophe" is an artefact of the idealised non-turbulent initial conditions
and that turbulence provides a natural mechanism to circumvent this problem.Comment: 4 pages, 2 figures. To appear in the proceedings of 'The Labyrinth of
  Star Formation' (18-22 June 2012, Chania, Greece), published by Springe
Radiative Transfer in Star Formation: Testing FLD and Hybrid Methods

We perform a comparison between two radiative transfer algorithms commonly
employed in hydrodynamical calculations of star formation: grey flux limited
diffusion and the hybrid scheme, in addition we compare these algorithms to
results from the Monte-Carlo radiative transfer code MOCASSIN. In disc like
density structures the hybrid scheme performs significantly better than the FLD
method in the optically thin regions, with comparable results in optically
thick regions. In the case of a forming high mass star we find the FLD method
significantly underestimates the radiation pressure by a factor of ~100.Comment: 4 Pages; to appear in the proceedings of 'The Labyrinth of Star
  Formation', Crete, 18-22 June 201
A galactic-scale origin for stellar clustering

We recently presented a model for the cluster formation efficiency (CFE),
i.e. the fraction of star formation occurring in bound stellar clusters. It
utilizes the idea that the formation of stars and stellar clusters occurs
across a continuous spectrum of ISM densities. Bound stellar clusters naturally
arise from the high-density end of this density spectrum. Due to short
free-fall times, these high-density regions can achieve high star formation
efficiencies (SFEs) and can be unaffected by gas expulsion. Lower-density
regions remain gas-rich and substructured, and are unbound upon gas expulsion.
The model enables the CFE to be calculated using galactic-scale observables. I
present a brief summary of the model physics, assumptions and caveats, and show
that it agrees well with observations. Fortran and IDL routines for calculating
the CFE are publicly available at http://www.mpa-garching.mpg.de/cfe.Comment: 4 pages, 1 figure; to appear in The Labyrinth of Star Formation,
  (eds.) D. Stamatellos, S. Goodwin, and D. Ward-Thompson, Springer, in pres
MYStIX First Results: Spatial Structures of Massive Young Stellar Clusters

Astrophysics and Space Science Proceedings series vol. 36Observations of the spatial distributions of young stars in star-forming regions can be linked to the theory of clustered star formation using spatial statistical methods. The MYStIX project provides rich samples of young stars from the nearest high-mass star-forming regions. Maps of stellar surface density reveal diverse structure and subclustering. Young stellar clusters and subclusters are fit with isothermal spheres and ellipsoids using the Bayesian Information Criterion to estimate the number of subclusters. Clustering is also investigated using Cartwright and Whitworth's Q statistic and the inhomogeneous two-point correlation function. Mass segregation is detected in several cases, in both centrally concentrated and fractally structured star clusters, but a few clusters are not mass segregated.Chandra ACIS TeamNSFNAS
Principles of Knowledge, Belief and Conditional Belief

International audienceWe review and examine in this paper the validity of the different axioms (and inference rules) of knowledge and belief and relating knowledge to belief which have been proposed in the epistemic !epistemic logic literature. In doing so, we encounter many of the problems that epistemic !epistemic logic has had to face in its relatively short (modern) history and provide relevant pointers for more details. We also contribute to this area by providing conditions under which the notion of belief can be formally defined in terms of knowledge , and vice versa. We also prove that certain convoluted axioms dealing only with the notion of knowledge can be derived from understandable interaction axioms relating knowledge and conditional belief
Trapezoidal Fuzzy Shortest Path (TFSP) Selection for Green Routing and Scheduling Problems

The routing of vehicles represents an important component of many distribution and transportation systems. Finding the shortest path is one of the fundamental and popular problems. In real life applications, like vehicle green routing and scheduling, transportation, etc. which are related to environmental issues the arc lengths could be uncertain due to the fluctuation with traffic conditions or weather conditions. Therefore finding the exact optimal path in such networks could be challenging. In this paper, we discuss and analyze different approaches for finding the Fuzzy Shortest Path. The shortest path is computed using the ranking methods based on i)Degree of Similarity ii) Acceptable Index, where the arc lengths are expressed as trapezoidal fuzzy numbers. The Decision makers can choose the best path among the various alternatives from the list of rankings by prioritizing the scheduling which facilitates Green Routing
Belief functions on MV-algebras of fuzzy sets: An overview

Belief functions are the measure theoretical objects Dempster-Shafer evidence theory is based on. They are in fact totally monotone capacities, and can be regarded as a special class of measures of uncertainty used to model an agent's degrees of belief in the occurrence of a set of events by taking into account different bodies of evidence that support those beliefs. In this chapter we present two main approaches to extending belief functions on Boolean algebras of events to MV-algebras of events, modelled as fuzzy sets, and we discuss several properties of these generalized measures. In particular we deal with the normalization and soft-normalization problems, and on a generalization of Dempster's rule of combination. © 2014 Springer International Publishing Switzerland.The  authors  also  acknowledge  partial  support by the FP7-PEOPLE-2009-IRSES project MaToMUVI (PIRSES-GA-2009-\ud
247584).  Also,  Flaminio  acknowledges  partial  support  of  the  Italian  project FIRB  2010  (RBFR10DGUA-002),  Kroupa  has  been  supported  by  the  grant GACR  13-20012S, and  Godo  acknowledges  partial  support  of  the  Spanish\ud
projects EdeTRI (TIN2012-39348-C02-01) and Agreement Technologies (CONSOLIDER CSD2007-0022, INGENIO 2010).Peer Reviewe
Return of the man-machine interface: violent interactions

This paper presents the design and evaluation of “the man-machine interface”\ud
a punchable interface designed to criticise and react against the values inherent in\ud
modern systems that tacitly favour one type of user (linguistically and technically\ud
gifted) and alienate another (physically gifted). We report a user study, where participants\ud
used the device to express their opinions before engaging in a group discussion\ud
about the implications of strength-based interactions. We draw connections between\ud
our own work and that of evolutionary biologists whose recent findings indicate the\ud
shape of the human hand is likely to have been partly evolved for the purpose of punching,\ud
and conclude by examining violent force as an appropriate means for expressing\ud
thoughts and feelings