Miracle-dz/UniFAR-FTUs huggingface dataset:
Multilingual, Efficient and Easy NLP Processing with IXA Pipeline

IXA pipeline is a modular set of Natural Language Processing tools (or pipes) which provide easy access to NLP technology. It aims at lowering the barriers of using NLP technology both for research purposes and for small industrial developers and SMEs by offering robust and efficient linguistic annotation to both researchers and non-NLP experts. IXA pipeline can be used “as is” or exploit its modularity to pick and change different components. This paper describes the general data-centric architecture of IXA pipeline and presents competitive results in several NLP annotations for English and Spanish.
Long run effects of money on real consumption and investment in the U.S.

This paper tests for long run neutrality (LRN) of money with respect to real expenditures in the U.S. over the 1947-2004 period. Real consumption and investment expenditures, as well as their broadly defined components, are examined. We also test for the effects of money on long run reallocations of GDP among durables, nondurables, and services. The time series characteristics of each variable are rigorously investigated. This is followed by application of the LRN test, introduced by Fisher and Seater (1993), to each real expenditures series. Although rejections of LRN occur in a number of studies, our results support long run neutrality of money with respect to real expenditures regardless of the level of data aggregation.
Exploring and calibrating local curvature effect of cortical bone for quantitative ultrasound (QUS)

Apart from thinning of cortical layers, the local bone curvature, varying along bone periphery, modulates ultrasound waves as well, which is however often underestimated or overlooked in clinical quantitative ultrasound (QUS). A dedicated three-dimensional finite element modelling technique for cortical bones was established, for quantitatively exploring and calibrating the effect of local curvature of cortical bone on ultrasound. Using a correlation-based mode extraction technique, high-velocity group (HVG) and low-velocity group (LVG) wave modes in a human radius were examined. Experimental verification using acrylic cylinders and in vitro testing using a porcine femur were accomplished. Results coherently unravelled the cortical curvature exerts evident influence on bone-guided ultrasound when RoC/λ<1 for HVG mode and RoC/λ<2 for LVG mode (RoC/λ: the ratio of local bone curvature radius to wavelength); the sensitivity of LVG mode to bone curvature is higher than HVG mode. It has also been demonstrated the local group velocity of an HVG or LVG mode at a particular skeletal site is equivalent to the velocity when propagating in a uniform cylinder having an outer radius identical to the radius of curvature at that site. This study provides a rule of thumb to compensate for the effect of bone curvature in QUS.
Lexicalising Word Order Constraints for Implemented Linearisation Grammar

This paper presents a way in which a lexicalised HPSG grammar can handle word order constraints in a computational parsing system, without invoking an additional layer of representation for word order, such as Reape's Word Order Domain. The key proposal is to incorporate into lexical heads the WOC (Word Order Constraints) feature, which is used to constrain the word order of its projection. We also overview our parsing algorithm.
VizRec: A Two-Stage Recommender System for Personalized Visualizations

Identifying and using the information from distributed and heterogeneous information sources is a challenging task in many application fields. Even with services that offer well-defined structured content, such as digital libraries, it becomes increasingly difficult for a user to find the desired information. To cope with an overloaded information space, we propose a novel approach - VizRec - combining recommender systems (RS) and visualizations. VizRec suggests personalized visual representations for recommended data. One important aspect of our contribution and a prerequisite for VizRec are user preferences that build a personalization model. We present a crowd based evaluation and show how such a model of preferences can be elicited.
Human Figure Animation: A Historical Perspective

Computer Animation, has advanced significantly as well as spectacularly over the last two-to-three decades. The interesting field has innovated tremendously moving from first-generation i.e. purely geometric models where motion was developed using kinematic techniques, to secondgeneration i.e. physical-based models (direct versus inverse dynamics and hybrid systems), towards the development of the third-generation i.e. autonomous behaviour through learning and perception. The simulation and animation of a variety of real-world objects appear with stunning realism. However, the main issue here is not on what we have achieved but rather, based on what we have achieved, what is to follow. The emerging results are expected immensely by researchers in the field, worldwide. The paper delivers a survey on human figure animation and in particular a classification framework of the work done on the control of locomotion.
Hybrid fragment mining with MoFa and FSG

In the past few years a number of different subgraph mining algorithms have been proposed. They are often used for ending frequent fragments in molecular databases. All these algorithms behave quite well when used on small datasets of not more than a few thousand molecules. However they all fail on larger amounts of data because they are either time consuming or have enormous memory requirements. We present a hybrid mining technique that overcomes the individual problems of the underlying algorithms and outperforms the individual methods impressively on large databases.
Self-organising disturbance attenuation for synchronised agents with individual dynamics

This paper proposes a self-organising networked controller for disturbance attenuation in multi-agent systems. A disturbance affecting a single agent has some effect on all neighbouring agents through the communication network. To avoid large disturbance effects, the proposed self-organising controller switches off the communication whenever the effect of the disturbance on the corresponding agent exceeds a given bound. As a consequence, the structure of the networked controller is adjusted to the current disturbance. It is proved that the proposed controller bounds the effect of any disturbance on all undisturbed agents. The results are illustrated by their application to a robot formation problem.
Fast and Scalable Distributed Boolean Tensor Factorization

How can we analyze tensors that are composed of 0's and 1's? How can we efficiently analyze such Boolean tensors with millions or even billions of entries? Boolean tensors often represent relationship, membership, or occurrences of events such as subject-relation-object tuples in knowledge base data (e.g., 'Seoul'-'is the capital of'-'South Korea'). Boolean tensor factorization (BTF) is a useful tool for analyzing binary tensors to discover latent factors from them. Furthermore, BTF is known to produce more interpretable and sparser results than normal factorization methods. Although several BTF algorithms exist, they do not scale up for large-scale Boolean tensors. In this paper, we propose DBTF, a distributed algorithm for Boolean tensor factorization running on the Spark framework. By caching computation results, exploiting the characteristics of Boolean operations, and with careful partitioning, DBTF successfully tackles the high computational costs and minimizes the intermediate data. Experimental results show that DBTF decomposes up to 163–323 larger tensors than existing methods in 68–382 less time, and exhibits near-linear scalability in terms of tensor dimensionality, density, rank, and machines.
3-DIMENSIONAL STRUCTURE-IMITATION MODEL OF EVOLUTION OF MICROSTRUCTURE OF POWDER BODY DURING SINTERING

This paper describes a 3D structure-imitation computer model of evolution of the powder compact during sinteringand recrystallization without nucleation. At the initial stages of the evolution processes (sintering until a mosaic structure of boundaries is formed) the model particles are spheres, and two-particle interaction laws control their evolution. During sintering the degree of mutual penetration of the particles increases, regions where spherical particles are wholly facetted by contacts with neighboring particles are formed and grow. These particles are described using the formalism of Voronoi radical polyhedra, and grain growth laws govern their evolution. The model predicts the time dependencies of the following structure parameters of the polyhedra: average polyhedron size and dispersion, total surface of the facets of the polyhedra and total lenght of the edges of the polyhedra.
Composite Bioceramics/Polymer Electrospun Scaffolds for Regenerative Medicine

The main goal of this study was to succeed in the relevant association of well-known osteoconductive biphasic calcium phosphate (BCP) made of Hydroxyapatite (20% HA) and β-Tricalcium Phosphate (80% β-TCP) crystallographic phases and resorbable poly (L-lactide-co-D,L-lactide)(PLDLLA) 3D matrices synthesized by electrospinning. Two types of mineral particles were obtained, BCP new hollow granules, and classical BCP particles. It appeared that hollow shells/PLDLLA composite 3D matrices allowed higher cell adhesion in vitro, thanks to internal concavities and are promising scaffolds in terms of cell carrying.
FUSE Observations of HD 5980: The Wind Structure of the Eruptor

HD 5980 is a unique system containing one massive star (star A) that is apparently entering the luminous blue variable phase and an eclipsing companion (star B) that may have already evolved beyond this phase to become a Wolf-Rayet star. In this paper we present the results from FUSE observations obtained in 1999, 2000, and 2002, and one far-UV observation obtained by ORFEUS BEFS in 1993 shortly before the first eruption of HD 5980. The eight phase-resolved spectra obtained by FUSE in 2002 are analyzed in the context of a wind-eclipse model. This analysis shows that the wind of the eruptor obeyed a very fast velocity law in 2002, which is consistent with the line-driving mechanism. Large-amplitude line-profile variations on the orbital period are shown to be due to the eclipse of star B by the wind of star A, although the eclipse due to gas flowing in the direction of star B is absent. This can only be explained if the wind of star A is not spherically symmetric or if the eclipsed line radiation is "filled in" by emission originating from somewhere else in the system, e.g., in the wind-wind collision region. Except for a slightly lower wind speed, the ORFEUS BEFS spectrum is very similar to the spectrum obtained by FUSE at the same orbital phase; there is no indication of the impending eruption. However, the trend for decreasing wind velocity suggests the occurrence of the "bistability" mechanism, which in turn implies that the restructuring of the circumbinary environment caused by the transition from fast, rarefied wind to slow, dense wind was observed as the eruptive event. The underlying mechanism responsible for the long-term decrease in wind velocity that precipitated this change remains an open issue.
CDMA system design through asymptotic analysis

An asymptotic analysis tool, based on the results of Tse and Hanly (see IEEE Trans. Inform. Theory, vol.45, no.2, p.641-57, 1999) and allowing the analysis and design of CDMA systems with limited computer simulation, is described. As an example of application, some aspects of system design for a UMTS personal-communication satellite system are presented. Specifically, the tradeoffs involved in the allocation of available bandwidth between spreading and coding, the selection of modulation schemes, and the selection of multi-rate formats for the uplink channel are considered.
Real-Time Geometry, Albedo, and Motion Reconstruction Using a Single RGB-D Camera

This article proposes a real-time method that uses a single-view RGB-D input (a depth sensor integrated with a color camera) to simultaneously reconstruct a casual scene with a detailed geometry model, surface albedo, per-frame non-rigid motion, and per-frame low-frequency lighting, without requiring any template or motion priors. The key observation is that accurate scene motion can be used to integrate temporal information to recover the precise appearance, whereas the intrinsic appearance can help to establish true correspondence in the temporal domain to recover motion. Based on this observation, we first propose a shading-based scheme to leverage appearance information for motion estimation. Then, using the reconstructed motion, a volumetric albedo fusing scheme is proposed to complete and refine the intrinsic appearance of the scene by incorporating information from multiple frames. Since the two schemes are iteratively applied during recording, the reconstructed appearance and motion become increasingly more accurate. In addition to the reconstruction results, our experiments also show that additional applications can be achieved, such as relighting, albedo editing, and free-viewpoint rendering of a dynamic scene, since geometry, appearance, and motion are all reconstructed by our technique.
IMPACT OF DEGRADATION OF POLYETHYLENE FILMS UNDER SIMULATED CLIMATIC CONDITIONS ON THEIR MECHANICAL BEHAVIOUR AND THERMAL STABILITY AND LIFETIME

Studying the impact of degradation of polyethylene tri-layer films under simulated climatic conditions, of North Africa, on their mechanical behaviour and thermal stability and lifetime is the main objective of this work. The films are produced by the co-extrusion technique which is used in several industrial applications such as the nuclear related applications. The climatic conditions such as temperature, solar radiation, wind, sand and humidity are crucial factors in the ageing process, degradation and lifetime of polymeric materials. At the molecular level, these conditions have severe structural modifications and oxidation in polymers which are the main mechanism of ageing. Polyethylene films have numerous industrial applications in which they are susceptible to such harsh environmental conditions. Samples in the form of polyethylene films of 180μm thickness are artificially aged at different conditions of temperature and humidity. Monitoring the degradation in physicochemical properties of polymer matrices used and their stabilizing additives is carried out by thermal analysis (DSC) and mechanical tests. The results revealed that the investigated climatic conditions have essential deteriorative effects on the performance of the film. The correlation between the modification in the material structure and the degradation in the film properties is discussed.Copyright © 2012 by ASME
A Multisymplectic Scheme for Gross-Pitaevskii Equation

For a Bose-Einstein Condensate placed in a rotating trap and confined in the z axis, a multisymplectic difference scheme was constructed to investigate the evolution of vortices in this paper. First, we look for a steady state solution of the imaginary time G-P equation. Then, we numerically study the vortices's development in real time, starting with the solution in imaginary time as initial value.
Information for inspiration: Understanding architects' information seeking and use behaviors to inform design

Architectural design projects are heavily reliant on electronic information seeking. However, there have been few studies on how architects look for and use information on the Web. We examined the electronic information behavior of 9 postgraduate architectural design and urban design students. We observed them undertake a selfchosen, naturalistic information task related to one of their design projects and found that although the architectural students performed many similar interactive information behaviors to academics and practitioners in other disciplines, they also performed behaviors reflective of the nature of their domain. The included exploring and encountering information (in addition to searching and browsing for it) and visualizing/appropriating information.The observations also highlighted the importance of information use behaviors (such as editing and recording) and communication behaviors (such as sharing and distributing) as well as the importance of multimedia materials, particularly images, for architectural design projects. A key overarching theme was that inspiration was found to be both an important driver for and potential outcome of information work in the architecture domain, suggesting the need to design electronic information tools for architects that encourage and foster creativity. We make suggestions for the design of such tools based on our findings.
Optical tomography of pigmented human skin biopsies

The novel femtosecond NIR (near infrared) laser based high resolution imaging system DermaInspect was used for non-invasive diagnostics of pigmented skin. The system provides fluorescence and SHG images of high spatial submicron resolution (3D) and 250 ps temporal resolution (4D) based on time resolved single photon counting (TCSPC). Pigmented tissue biopsies from patients with nevi and melanoma have been investigated using the tunable 80 MHz femtosecond laser MaiTai with laser wavelengths in the range of 750 - 850 nm. The autofluorescence patterns of different intratissue cell types and structures were determined. The non-linear induced autofluorescence originates from naturally endogenous fluorophores and protein structures like NAD(P)H, flavins, elastin, collagen, phorphyrins and melanin. In addition to autofluorescence, SHG (second harmonic generation) was used to detect dermal collagen structures. Interestingly, pigmented cells showed intense luminescence signals. Further characterization of tissue components was performed via 4D measurements of the fluorescence lifetime (x, y, z, τ). The novel multiphoton technique offers the possibility of a painless high resolution non invasive diagnostic method (optical biopsy), in particular for the early detection of skin cancer.
Axotomy-induced changes in rabbit hindlimb nerves and the effects of chronic electrical stimulation

Chronic electrical stimulation and extracellular recording combined with morphological examination of nerves in this study provided a detailed description of the time course and extent of fiber atrophy when the trophic influence of the target was removed by ligation of axotomized nerves and neural activity was replaced by chronic stimulation. The major findings are that decline in amplitude of compound action potentials (CAPs) and fiber diameters is rapid after axotomy and is not reversed or prevented by chronic electrical stimulation, as would be predicted if neural activity played an essential role in maintaining normal fiber caliber. Chronic stimulation had a small short-term sparing effect in the first month after axotomy but was counterproductive over long periods. Comparison of the time course of the decline in CAP amplitude and reduction of fiber diameters with described alterations in mRNA expression of neurofilament protein indicates that the early atrophy is too rapid to be accounted for by reduced synthesis and transport of neurofilaments. It is more likely to result from modification of axonal proteins after axotomy. Replacement of neural activity with stimulation may reduce the initial atrophy but, over longer periods, exacerbates the atrophy, possibly by affecting the synthesis and transport of cytoskeletal proteins. These studies show that the trophic control of nerve fiber size is mediated primarily by functional contacts with peripheral targets and that neural activity plays a relatively small role. Without functional contacts, nerve fibers decline in diameter to stable but lower values. The atrophy was exacerbated by imposing neural activity on the relatively quiescent axotomized neurons.
Type 1 Diabetes: Urinary Proteomics and Protein Network Analysis Support Perturbation of Lysosomal Function

While insulin replacement therapy restores the health and prevents the onset of diabetic complications (DC) for many decades, some T1D patients have elevated hemoglobin A1c values suggesting poor glycemic control, a risk factor of DC. We surveyed the stool microbiome and urinary proteome of a cohort of 220 adolescents and children, half of which had lived with T1D for an average of 7 years and half of which were healthy siblings. Phylogenetic analysis of the 16S rRNA gene did not reveal significant differences in gut microbial alpha-diversity comparing the two cohorts. The urinary proteome of T1D patients revealed increased abundances of several lysosomal proteins that correlated with elevated HbA1c values. In silico protein network analysis linked such proteins to extracellular matrix components and the glycoprotein LRG1. LRG1 is a prominent inflammation and neovascularization biomarker. We hypothesize that these changes implicate aberrant glycation of macromolecules that alter lysosomal function and metabolism in renal tubular epithelial cells, cells that line part of the upper urinary tract.
Bug Report Networks: Varieties, Strategies, and Impacts in a F/OSS Development Community

Our empirical research has shown that a predominant structural feature of defect tracking repositories is the evolving "bug report network" (BRN). Community members create BRNs by progressively asserting various formal and informal relationships between bug reports (BRs). In one F/OSS bug repository under study, participants assert two formal relationships (duplications and dependencies) and various informal relationships (like "see also" references). BRNs can be interpreted as (1) information ordering strategies that support collocation of related BRs, decreasing cognitive and organizational effort; (2) sense-making strategies wherein BRNs provide more refined representations of software and workorganization issues; (3) social ordering strategies that rearrange collective relationships among community members. This paper presents findings from an investigation of the nature, extent, and impact of BRNs in one large F/OSS development community. We investigate whether and how specific classes of BRNs influence problem management within the community, and identify several new research questions.
Examining Computational Geometry, Van Emde Boas Trees, and Hashing from the Perspective of the Fusion Tree

This article illustrates several examples of computer science problems whose performance can be improved with the use of either the fusion trees [Fredman and Willard, J. Comput. System Sci., 47 (1993), pp. 424--436; Fredman and Willard, J. Comput. System Sci., 48 (1994), pp. 533--551] or one of several recent improvements to this data structure. It is likely that many other data structures can also have their performance improved with fusion trees. The examples here are only illustrative.