Miracle-dz/UniFAR-FTUs huggingface dataset:
Visual Learning for Reaching and Body-Schema with Gain-Field Networks

Perceiving our own body posture improves the way we move dynamically and reversely, motion coordination serves to learn better the position of our own body. Following this idea, we present a neural architecture toward reaching movements and body self-perception from a developmental perspective. Our framework is based on the neurobiological mechanism known as gain modulation in parietal neurons that is found to integrate the visual, motor and proprioceptive information through product-like processes. These multiplicative networks have interesting properties for learning nonlinear transformations such as the head-centered mapping in reaching tasks or the hand-centered mapping for a body-centered representation. In a simulation of a three-link arm, we perform experiments of nearby and far reach targets exploiting one or the other strategy. The later combination of the two networks generates autonomous control toward the target by processing the body-centered spatial information and the preferred visual direction for the desired motor commands.
Critical success factors for data governance: a telecommunications case study

ABSTRACT Previous research has not focused sufficiently on the activities that are required to introduce an effective data governance programme. This is coupled with the fact that the strategic importance of data governance is growing. As result, this research study aims to identify the critical success factors (CSF) for data governance and the associated recommended actions that would enable organisations to introduce an effective data governance programme. This paper reports on a single case study in a large telecommunications service provider in Saudi Arabia. The data are (1) gathered through semi-structured interviews that follow the CSF approach and (2) analysed by applying open, axial, and selective coding techniques. The findings of this research are presented as nine CSFs, which are ranked in order of importance, and include actions recommended for each CSF. Based on our case analysis, having ‘business-driven data integration strategies’ was the most important factor for data governance.
Diffie-Hellman Exchanges for Multimedia Sessions

This memo defines a new Session Description Protocol (SDP) attribute for exchanging Diffie-Hellman (DH) public keys. The attribute is an SDP session-level attribute for describing DH keys, and there is a new media-level parameter for describing public keying material for SRTP key generation. The SDP attribute supports the key establishment schemes of NIST Draft Special Publication 800-56, adds domain parameters and supports external authentication of the DH endpoint without a public key infrastructure.
CAMBIOS EN LAS RESERVAS DE CARBONO ORGÁNICO DEL SUELO BAJO DIFERENTES COBERTURAS

The reserve of organic carbon in soils and their changes over time is a current environmental issue, besides, the loss of soil organic carbon (SOC), that occur with the conversion of natural ecosystems to agricultural systems, contribute to emissions of greenhouse gases, to global warming and climatic change. The objective of this study was to evaluate the changes in SOC reserves under different plant covers that occur in the Mololoa river basin, in the state of Nayarit, Mexico. The analysis was performed by differences in time of sampling, using samples from the top 20 cm of the soil profile, coming from 13 soil profiles under different coverage: two with oak forest, two with pine forest, one under grass, one with avocado orchard and seven under sugarcane cropping. The soils under grass had the greatest reserve of SOC with 2,65 Mg ha-1 ano-1, followed by: oak forest (0,40 and 0,47 Mg ha-1 ano-1), pine forest (0,15 and 0,38 Mg ha-1 ano-1) and avocado orchard (0,29 Mg ha-1 ano-1). Soils with sugarcane crop had a decrease in SOC (between 0, 12-0,84 Mg ha-1 ano-1).
An algorithm to solve polyhedral convex set optimization problems

An algorithm which computes a solution of a set optimization problem is provided. The graph of the objective map is assumed to be given by finitely many linear inequalities. A solution is understood to be a set of points in the domain satisfying two conditions: the attainment of the infimum and minimality with respect to a set relation. In the first phase of the algorithm, a linear vector optimization problem, called the vectorial relaxation, is solved. The resulting pre-solution yields the attainment of the infimum but, in general, not minimality. In the second phase of the algorithm, minimality is established by solving certain linear programs in combination with vertex enumeration of some values of the objective map.
Interactive storytelling in mixed reality

• A submitted manuscript is the author's version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers.
Quantum Monte Carlo study of a two-species bosonic Hubbard model

We consider a two-species hard-core boson Hubbard model for a supersolid, where two types of bosons represent vacancies and interstitials doped into a commensurate crystal. The on-site interspecies interaction can create bound states of vacancies and interstitials facilitating vacancy condensation at lower energies than in a single-species model, as suggested in an earlier mean-field study. Here, we carry out quantum Monte Carlo simulations to study possible supersolid phases of the model, which correspond to superfluid phases of the vacancies or interstitials. At low temperatures, we find three distinct superfluid phases. The extent of the phases and the nature of the phase transitions are discussed in comparison to mean-field theory.
Higgs portals to pulsar collapse

Pulsars apparently missing from the galactic center could have been destroyed by asymmetric fermionic dark matter ($m_X = 1-100$ GeV) coupled to a light scalar ($m_{\phi}= 5-20$ MeV), which mixes with the Higgs boson. We point out that this pulsar-collapsing dark sector can resolve the core-cusp problem and will either be excluded or discovered by upcoming direct detection experiments. Another implication is a maximum pulsar age curve that increases with distance from the galactic center, with a normalization that depends on the couplings and masses of dark sector particles. In addition, we use old pulsars outside the galactic center to place bounds on asymmetric Higgs portal models.
Extensive modding for experimental game research

This chapter covers the topic of extensive modding in the area of experimental game research. In simplified terms, modding a computer game means changing specific aspects of how the game looks and feels to the user. This also includes applying minor changes to the game, such as changing the appearance of just a few objects, which does not require a high degree of expertise. Solely relying on making minor changes, however, severely limits the type of research questions that can be addressed. Therefore, we advocate extensive modding, which refers to modifications of a large extent that allow researchers to examine almost any research question imaginable. Extensive modifications may range from major content extensions or replacements, like new tasks or quests, game environments, characters or game mechanics, to total conversions, like changing the game scenario or theme, or the game genre. To apply these changes, researchers have to know which modding tools are available for a given game and how to use them properly. Advanced modifications, such as changing the behaviour of the game world and its inhabitants or even the fundamental mechanics of the game, often require deep knowledge of the game, game design, the modding community and--depending on the game--a certain level of programming skills.
Weights sharing the same eigenvalue

Here is the simplest particular case of our main result: let $f:{\bf R}\to {\bf R}$ be a function of class $C^1$, with $\sup_{\bf R}f'>0$, such that $$\lim_{|\xi|\to +\infty}{{f(\xi)}\over {\xi}}=0\ . $$ Then, for each $\lambda>{{\pi^2}\over {\sup_{\bf R}f'}}$, the set of all $u\in H^1_0(]0,1[)$ for which the problem $$\cases{-v''=\lambda f'(u(x)) v & in $]0,1[$\cr & \cr v(0)=v(1)=0\cr}$$ has a non-zero solution is closed and not $\sigma$-compact in $H^1_0(]0,1[)$.
Investigating the conceptual-procedural distinction in the translation process

This chapter draws on relevance theory (Sperber and Wilson 1986/1995) and its application to translation (Gutt 2000) to investigate processing effort in translation in relation to two different types of encodings, namely conceptual and procedural encodings (Blakemore 2002; Wilson 2011). Building on the experimental paradigm of data triangulation in translation process research (Alves 2003; Jakobsen 2005), it analyses the translation processes of eight professional translators when performing a direct and an inverse translation task. The analysis focuses on the number and types of encodings found in micro/macro translation units (Alves and Vale 2009; 2011). Results suggest that processing effort in translation is greater in instances of procedural than conceptual encodings.
Gas and dust in the star-forming region rho Oph A II. The gas in the PDR and in the dense cores

Context. The evolution of interstellar clouds of gas and dust establishes the prerequisites for star formation. The pathway to the formation of stars can be studied in regions that have formed stars, but which at the same time also display the earliest phases of stellar evolution, i.e. pre-collapse/collapsing cores (Class-1), protostars (Class 0), and young stellar objects (Class I, II, III). Aims. We investigate to what degree local physical and chemical conditions are related to the evolutionary status of various objects in star-forming media. Methods. rho OphA displays the entire sequence of low-mass star formation in a small volume of space. Using spectrophotometric line maps of H-2, H2O, NH3, N2H+, O-2, OI, CO, and CS, we examine the distribution of the atomic and molecular gas in this dense molecular core. The physical parameters of these species are derived, as are their relative abundances in rho Oph A. Using radiative transfer models, we examine the infall status of the cold dense cores from their resolved line profiles of the ground state lines of H2O and NH3, where for the latter no contamination from the VLA 1623 outflow is observed and line overlap of the hyperfine components is explicitly taken into account. Results. The stratified structure of this photon dominated region (PDR), seen edge-on, is clearly displayed. Polycyclic aromatic hydrocarbons (PAHs) and OI are seen throughout the region around the exciting star S 1. At the interface to the molecular core 0.05 pc away, atomic hydrogen is rapidly converted into H-2, whereas OI protrudes further into the molecular core. This provides oxygen atoms for the gas-phase formation of O-2 in the core SM1, where X(O-2) similar to 5 x 10(-8). There, the ratio of the O-2 to H2O abundance [X(H2O) similar to 5 x 10(-9)] is significantly higher than unity. Away from the core, O-2 experiences a dramatic decrease due to increasing H2O formation. Outside the molecular core rho Oph A, on the far side as seen from S 1, the intense radiation from the 0.5 pc distant early B-type star HD147889 destroys the molecules. Conclusions. Towards the dark core SM1, the observed abundance ratio X(O-2)/X(H2O) > 1, which suggests that this object is extremely young, which would explain why O-2 is such an elusive molecule outside the solar system.
Recycling services and workflows through discovery and reuse

Workflows are a central component for representing e-Science procedures in myGrid. For myGrid to support their design, scientists must be able to discover appropriate services to orchestrate and also discover if colleagues have already designed something similar. myGrid integrates a number of software components to address these requirements. The myGrid registry stores service and workflow descriptions. PeDRo, a structured data entry tool, enables uses to annotate these descriptions. Taverna, the workflow workbench, closely integrates with the registry and PeDRo to ensure description and reuse of services and workflows is simple.
Spherical collapse model with shear and angular momentum in dark energy cosmologies

We study, for the first time, how shear and angular momentum modify typical parameters of the spherical collapse model, in dark-energy-dominated universes. In particular, we study the linear density threshold for collapse δc and the virial overdensityV for several dark energy models and its influence on the cumulative mass function. The equations of the spherical collapse are those obtained in Pace et al., who used the fully non-linear differential equation for the evolution of the density contrast derived from Newtonian hydrodynamics, and assumed that dark energy is present only at the background level. With the introduction of the shear and rotation terms, the parameters of the spherical collapse model are now mass dependant. The results of the paper show, as expected, that the new terms considered in the spherical collapse model oppose the collapse of perturbations on galactic scale giving rise to higher values of the linear overdensity parameter with respect to the non-rotating case. We find a similar effect also for the virial overdensity parameter. For what concerns the mass function, we find that its high-mass tail is suppressed, while the low-mass tail is slightly affected except in some cases, e.g. the Chaplygin gas case.
Towards the generation of a database for scientific research in Natural Language Processing with an Information Extraction system

THE Internet is a network of computers which dates its origins back to the 1960s. This network of networks known as the Internet slowly began to drive organisations and people towards interconnectedness and set the foundations of a constant growth in the quantity of information available – an unprecedented situation until then. In parallel with this development the field of Natural Language Processing (NLP) was receiving a fair amount of funding, specially for efforts of translation for the Russian-English language pair. Information Extraction (IE) is an NLP field concerned with the automatic extraction of information from text written in natural language. There are several different works that use Information Extraction or Text Mining techniques and use scientific papers as the main corpora they work upon. There are some proposals in the literature which are more or less related to our task, that is, the task of extracting information from scientific papers in Natural Language Processing publications. Some authors use Information Extraction, such as Conditional Random Fields, and/or Machine Learning techniques, such as Hidden Markov Models, to extract portions of papers important to tasks such as field-based search, author analysis and citation analysis [32, 39]. There are also applications of Support Vector Machines for automatically extracting metadata from research papers [17]. There are other works available in the literature which also propose some kind of application of Information Extraction techniques on a corpus of scientific papers, but with a final objective clearly distinct from ours. [39] propose a method that uses Hidden Markov Models (HMMs) in order to extract information from headers of computer science research papers. [17] propose a method for the automatic extraction of metadata from research papers. They use Support Vector Machines (SVMs) and, like [39], also extract information from the paper header. [4] present an Information Extraction method for the automatic extraction of information from the references of scientific papers from journals in pharmacology. [32] propose an Information Extraction system to extract what they call research papers’ metadata – such as title, author, and institution. They extract that information from both the paper header and its references – as opposed to [17] and [39], which only use the paper header. [33] present a method for high accuracy citation and author name identification. They use both in-text citations and the references section of the papers in order to extract the bibliographic information they are interested at. We shall present in this work the specification of the system IEforNLP, an Information Extraction system that aims at the extraction of specific information from online databases of scientific papers in Natural Language Processing. Additionally, we provide details on its implementation and its applica-
The factor analysis and the search for an objective meaning of factors as a function of meanings of (names) features

A method of the factor analysis, including factors naming is considered. If х – features, and f – factors, then we look for dependencies f(x), not x(f). In the beginning of the article there is a detailed historical overview of the origins and evolution of the theory of the factor analysis. Then methods of committee solutions of problems of pattern recognition are studying, including the discriminant analysis, taxonomy and informative subsystems of signs assessment. The connection of these methods with artificial neural networks and with the factor analysis that allows finding deep interconnections in observations table is analyzed. A stepwise algorithm to find out the name of a factor is performed according to the names of features that are included in the corresponding taxon. Along with this the factor analysis is applied to the observations table of object\feature. In conclusion, the full reference list is provided on the subject of a research.
3D Graph Drawings: Good Viewing for Occluded Vertices

The growing studies show that the human brain can comprehend increasingly complex structures if they are displayed as objects in three dimensional spaces. In addition to that, recent technological advances have led to the production of a lot of data, and consequently have led to many large and complex models of 3D graph drawings in many domains. Good Drawing (Visualization) resolves the problems of the occluded structures of the graph drawings and amplifies human understanding, thus leading to new insights, findings and predictions. We present method for drawing 3D graphs which uses a force-directed algorithm as a framework. The main result of this work is that, 3D graph drawing and presentation techniques are combined available at interactive speed. Even large graphs with hundreds of vertices can be meaningfully displayed by enhancing the presentation with additional attributes of graph drawings and the possibility of interactive user navigation. In the implementation, we interactively visualize many 3D graphs of different size and complexity to support our method. We show that Gephi Software is capable of producing good viewpoints for 3D graph drawing, by its built-in force directed layout algorithms.
Constraining a Possible Variation of G with Type Ia Supernovae

Abstract Astrophysical cosmology constrains the variation of Newton’s Constant in a manner complementary to laboratory experiments, such as the celebrated lunar laser ranging campaign. Supernova cosmology is an example of the former and has attained campaign status, following planning by a Dark Energy Task Force in 2005. In this paper, we employ the full SNIa data set to the end of 2013 to set a limit on G variation. In our approach, we adopt the standard candle delineation of the redshift distance relation. We set an upper limit on its rate of change $|\dot{G}/G|$ of 0.1 parts per billion per year over 9 Gyrs. By contrast, lunar laser ranging tests variation of G over the last few decades. Conversely, one may adopt the laboratory result as a prior and constrain the effect of variable G in dark energy equation of state experiments to δw < 0.02. We also examine the parameterisation G ~ 1 + z. Its short expansion age conflicts with the measured values of the expansion rate and the density in a flat Universe. In conclusion, supernova cosmology complements other experiments in limiting G variation. An important caveat is that it rests on the assumption that the same mass of 56Ni is burned to create the standard candle regardless of redshift. These two quantities, f and G, where f is the Chandrasekhar mass fraction burned, are degenerate. Constraining f variation alone requires more understanding of the SNIa mechanism.
The Bulge of M31

Abstract Bulges are not just elliptical subgalaxies situated in the centers of large spirals, though it might seem so from their ages and chemistry. In fact, bulge kinematics have been known to be different since the first long slit spectra were obtained. M31 presents the best opportunity to investigate all the issues of the stellar populations of bulges. This review collects the array of probing data that has been accumulated during the last decade. But the intriguing question ‘how did it form like this? ’ remains.
Using Circos Data Visualizer to Analyze Trade Data

Type: Software Review; Software title: Circos; Version reviewed: Circos Online; Requirements: The reviewed version requires a web browser; Review setup: This review used Safari 7.0. 6 on Mac OS 10.9. 5 and Microsoft Excel 2011 Version 14.4. 5; Price: Circos is free and distributed under GPL; Summary: This software review examines Circos, data visualization software deigned for genome sequencing but explained here for use with international trade data. The review includes how to process data to put it into Circos and how to interpret the visualization for trade analysis