939 resultados para Portuguese or heritage language


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Our last study with regularly developed children demonstrated a positive effect of working memory training on cognitive abilities. Building upon these findings, the aim of this multidisciplinary study is to investigate the effects of training of core functions with children who are suffering from different learning disabilities, like AD/HD, developmental dyslexia or specific language impairment. In addition to working memory training (BrainTwister), we apply a perceptual training, which concentrates on auditory-visual matching (Audilex), as well as an implicit concept learning task. We expect differential improvements of mental capacities, specifically of executive functions (working memory, attention, auditory and visual processing), scholastic abilities (language and mathematical skills), as well as of problem solving. With that, we hope to find further directions regarding helpful and individually adapted interventions in educational settings. Interested parties are invited to discuss and comment the design, the research question, and the possibilities in recruiting the subjects.

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OBJECTIVES: The research question for this project mainly concentrates on the sociolinguistic aspects of a socalled “language related major life event” (De Bot, 2007): retirement. “Language related major life events” are events in the lifespan that are important for changes happening in the linguistic setting which influence the language development. In my paper I will explore changes happening around retirement in regard to multilingual competence. The focus will be on two groups: Italian migrants living in the city of Berne and Swissgerman-speakers, both at the age around retirement. The above mentioned changes can take place on two levels. (1) On the one hand, people have more time for curricular activities after retirement, which they can use in order to learn new languages or to improve their language skills. In this case we are dealing with the concept of “lifelong learning”. (2) On the other hand, language competence can be lost due to the (partial) loss of the retiree’s social network at their former workplace. METHODS: I will first examine these processes by using quantitative questionnaires in order to obtain general information on demographic data, the social situation, and a self-assessment of linguistic skills. Secondly, I will use qualitative interviews to gain in-depth information on the linguistic changes happening around retirement and their link to different factors, such as social networks, education, gender or the language biography. RESULTS: Since the project is still in its early stages of development, clear results can’t be mentioned yet. By May 2012 I will be able to present results of the quantitative study as well as a first glance into the results of the qualitative part of the project. CONCLUSION: The results of this project are meant to benefit the better insight into different aspects that haven’t been looked at in detail till this point. (1) What is the general and linguistic situation of Italian migrants who decided to remain in Switzerland after retirement and how can their linguistic skills affect their quality of living? (2) Who decides to learn a new language after retirement and how should language courses for older people be designed?

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Rates of childhood obesity have increased three-fold in the last 20 years, and experts estimate that well over half of adolescents with a Body Mass Index at or above the 95th percentile become obese adults. These trends are even more pronounced in ethnic minority and lower income populations that are disproportionately impacted by obesity and its complications. It would be appropriate, then, to focus obesity interventions on Hispanic children. Television viewing, especially, has been shown to contribute to obesity by increasing caloric intake and decreasing physical activity. Parent involvement has proven to be a critical component in changing children’s health behaviors. In order to explore parents’ motivations for limiting their children’s television viewing, I qualitatively analyzed data from twenty-five interviews with Houston area Head Start parents. Using Grounded Theory, four main categories of concern emerged from the audio-recorded conversations: developmentally inappropriate content, the influence of television, poor health behaviors/outcomes, and general disapproval with television. Developmentally inappropriate content was the most frequently mentioned category with 119 mentions. This included violence, the most common sub-theme. In all, parents were more concerned with television content that produced proximate consequences such as modeling violent behavior or inappropriate language. Content that encouraged behaviors that led to obesity or other delayed consequences were of less concern to the parents. This suggests that future interventions aimed at encouraging Hispanic parents to reduce their children’s television viewing should draw motivation from parents’ concerns about developmentally inappropriate content, rather than focusing on deleterious health outcomes such as obesity. ^

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In the context of the Semantic Web, natural language descriptions associated with ontologies have proven to be of major importance not only to support ontology developers and adopters, but also to assist in tasks such as ontology mapping, information extraction, or natural language generation. In the state-of-the-art we find some attempts to provide guidelines for URI local names in English, and also some disagreement on the use of URIs for describing ontology elements. When trying to extrapolate these ideas to a multilingual scenario, some of these approaches fail to provide a valid solution. On the basis of some real experiences in the translation of ontologies from English into Spanish, we provide a preliminary set of guidelines for naming and labeling ontologies in a multilingual scenario.

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OntoTag - A Linguistic and Ontological Annotation Model Suitable for the Semantic Web 1. INTRODUCTION. LINGUISTIC TOOLS AND ANNOTATIONS: THEIR LIGHTS AND SHADOWS Computational Linguistics is already a consolidated research area. It builds upon the results of other two major ones, namely Linguistics and Computer Science and Engineering, and it aims at developing computational models of human language (or natural language, as it is termed in this area). Possibly, its most well-known applications are the different tools developed so far for processing human language, such as machine translation systems and speech recognizers or dictation programs. These tools for processing human language are commonly referred to as linguistic tools. Apart from the examples mentioned above, there are also other types of linguistic tools that perhaps are not so well-known, but on which most of the other applications of Computational Linguistics are built. These other types of linguistic tools comprise POS taggers, natural language parsers and semantic taggers, amongst others. All of them can be termed linguistic annotation tools. Linguistic annotation tools are important assets. In fact, POS and semantic taggers (and, to a lesser extent, also natural language parsers) have become critical resources for the computer applications that process natural language. Hence, any computer application that has to analyse a text automatically and ‘intelligently’ will include at least a module for POS tagging. The more an application needs to ‘understand’ the meaning of the text it processes, the more linguistic tools and/or modules it will incorporate and integrate. However, linguistic annotation tools have still some limitations, which can be summarised as follows: 1. Normally, they perform annotations only at a certain linguistic level (that is, Morphology, Syntax, Semantics, etc.). 2. They usually introduce a certain rate of errors and ambiguities when tagging. This error rate ranges from 10 percent up to 50 percent of the units annotated for unrestricted, general texts. 3. Their annotations are most frequently formulated in terms of an annotation schema designed and implemented ad hoc. A priori, it seems that the interoperation and the integration of several linguistic tools into an appropriate software architecture could most likely solve the limitations stated in (1). Besides, integrating several linguistic annotation tools and making them interoperate could also minimise the limitation stated in (2). Nevertheless, in the latter case, all these tools should produce annotations for a common level, which would have to be combined in order to correct their corresponding errors and inaccuracies. Yet, the limitation stated in (3) prevents both types of integration and interoperation from being easily achieved. In addition, most high-level annotation tools rely on other lower-level annotation tools and their outputs to generate their own ones. For example, sense-tagging tools (operating at the semantic level) often use POS taggers (operating at a lower level, i.e., the morphosyntactic) to identify the grammatical category of the word or lexical unit they are annotating. Accordingly, if a faulty or inaccurate low-level annotation tool is to be used by other higher-level one in its process, the errors and inaccuracies of the former should be minimised in advance. Otherwise, these errors and inaccuracies would be transferred to (and even magnified in) the annotations of the high-level annotation tool. Therefore, it would be quite useful to find a way to (i) correct or, at least, reduce the errors and the inaccuracies of lower-level linguistic tools; (ii) unify the annotation schemas of different linguistic annotation tools or, more generally speaking, make these tools (as well as their annotations) interoperate. Clearly, solving (i) and (ii) should ease the automatic annotation of web pages by means of linguistic tools, and their transformation into Semantic Web pages (Berners-Lee, Hendler and Lassila, 2001). Yet, as stated above, (ii) is a type of interoperability problem. There again, ontologies (Gruber, 1993; Borst, 1997) have been successfully applied thus far to solve several interoperability problems. Hence, ontologies should help solve also the problems and limitations of linguistic annotation tools aforementioned. Thus, to summarise, the main aim of the present work was to combine somehow these separated approaches, mechanisms and tools for annotation from Linguistics and Ontological Engineering (and the Semantic Web) in a sort of hybrid (linguistic and ontological) annotation model, suitable for both areas. This hybrid (semantic) annotation model should (a) benefit from the advances, models, techniques, mechanisms and tools of these two areas; (b) minimise (and even solve, when possible) some of the problems found in each of them; and (c) be suitable for the Semantic Web. The concrete goals that helped attain this aim are presented in the following section. 2. GOALS OF THE PRESENT WORK As mentioned above, the main goal of this work was to specify a hybrid (that is, linguistically-motivated and ontology-based) model of annotation suitable for the Semantic Web (i.e. it had to produce a semantic annotation of web page contents). This entailed that the tags included in the annotations of the model had to (1) represent linguistic concepts (or linguistic categories, as they are termed in ISO/DCR (2008)), in order for this model to be linguistically-motivated; (2) be ontological terms (i.e., use an ontological vocabulary), in order for the model to be ontology-based; and (3) be structured (linked) as a collection of ontology-based triples, as in the usual Semantic Web languages (namely RDF(S) and OWL), in order for the model to be considered suitable for the Semantic Web. Besides, to be useful for the Semantic Web, this model should provide a way to automate the annotation of web pages. As for the present work, this requirement involved reusing the linguistic annotation tools purchased by the OEG research group (http://www.oeg-upm.net), but solving beforehand (or, at least, minimising) some of their limitations. Therefore, this model had to minimise these limitations by means of the integration of several linguistic annotation tools into a common architecture. Since this integration required the interoperation of tools and their annotations, ontologies were proposed as the main technological component to make them effectively interoperate. From the very beginning, it seemed that the formalisation of the elements and the knowledge underlying linguistic annotations within an appropriate set of ontologies would be a great step forward towards the formulation of such a model (henceforth referred to as OntoTag). Obviously, first, to combine the results of the linguistic annotation tools that operated at the same level, their annotation schemas had to be unified (or, preferably, standardised) in advance. This entailed the unification (id. standardisation) of their tags (both their representation and their meaning), and their format or syntax. Second, to merge the results of the linguistic annotation tools operating at different levels, their respective annotation schemas had to be (a) made interoperable and (b) integrated. And third, in order for the resulting annotations to suit the Semantic Web, they had to be specified by means of an ontology-based vocabulary, and structured by means of ontology-based triples, as hinted above. Therefore, a new annotation scheme had to be devised, based both on ontologies and on this type of triples, which allowed for the combination and the integration of the annotations of any set of linguistic annotation tools. This annotation scheme was considered a fundamental part of the model proposed here, and its development was, accordingly, another major objective of the present work. All these goals, aims and objectives could be re-stated more clearly as follows: Goal 1: Development of a set of ontologies for the formalisation of the linguistic knowledge relating linguistic annotation. Sub-goal 1.1: Ontological formalisation of the EAGLES (1996a; 1996b) de facto standards for morphosyntactic and syntactic annotation, in a way that helps respect the triple structure recommended for annotations in these works (which is isomorphic to the triple structures used in the context of the Semantic Web). Sub-goal 1.2: Incorporation into this preliminary ontological formalisation of other existing standards and standard proposals relating the levels mentioned above, such as those currently under development within ISO/TC 37 (the ISO Technical Committee dealing with Terminology, which deals also with linguistic resources and annotations). Sub-goal 1.3: Generalisation and extension of the recommendations in EAGLES (1996a; 1996b) and ISO/TC 37 to the semantic level, for which no ISO/TC 37 standards have been developed yet. Sub-goal 1.4: Ontological formalisation of the generalisations and/or extensions obtained in the previous sub-goal as generalisations and/or extensions of the corresponding ontology (or ontologies). Sub-goal 1.5: Ontological formalisation of the knowledge required to link, combine and unite the knowledge represented in the previously developed ontology (or ontologies). Goal 2: Development of OntoTag’s annotation scheme, a standard-based abstract scheme for the hybrid (linguistically-motivated and ontological-based) annotation of texts. Sub-goal 2.1: Development of the standard-based morphosyntactic annotation level of OntoTag’s scheme. This level should include, and possibly extend, the recommendations of EAGLES (1996a) and also the recommendations included in the ISO/MAF (2008) standard draft. Sub-goal 2.2: Development of the standard-based syntactic annotation level of the hybrid abstract scheme. This level should include, and possibly extend, the recommendations of EAGLES (1996b) and the ISO/SynAF (2010) standard draft. Sub-goal 2.3: Development of the standard-based semantic annotation level of OntoTag’s (abstract) scheme. Sub-goal 2.4: Development of the mechanisms for a convenient integration of the three annotation levels already mentioned. These mechanisms should take into account the recommendations included in the ISO/LAF (2009) standard draft. Goal 3: Design of OntoTag’s (abstract) annotation architecture, an abstract architecture for the hybrid (semantic) annotation of texts (i) that facilitates the integration and interoperation of different linguistic annotation tools, and (ii) whose results comply with OntoTag’s annotation scheme. Sub-goal 3.1: Specification of the decanting processes that allow for the classification and separation, according to their corresponding levels, of the results of the linguistic tools annotating at several different levels. Sub-goal 3.2: Specification of the standardisation processes that allow (a) complying with the standardisation requirements of OntoTag’s annotation scheme, as well as (b) combining the results of those linguistic tools that share some level of annotation. Sub-goal 3.3: Specification of the merging processes that allow for the combination of the output annotations and the interoperation of those linguistic tools that share some level of annotation. Sub-goal 3.4: Specification of the merge processes that allow for the integration of the results and the interoperation of those tools performing their annotations at different levels. Goal 4: Generation of OntoTagger’s schema, a concrete instance of OntoTag’s abstract scheme for a concrete set of linguistic annotations. These linguistic annotations result from the tools and the resources available in the research group, namely • Bitext’s DataLexica (http://www.bitext.com/EN/datalexica.asp), • LACELL’s (POS) tagger (http://www.um.es/grupos/grupo-lacell/quees.php), • Connexor’s FDG (http://www.connexor.eu/technology/machinese/glossary/fdg/), and • EuroWordNet (Vossen et al., 1998). This schema should help evaluate OntoTag’s underlying hypotheses, stated below. Consequently, it should implement, at least, those levels of the abstract scheme dealing with the annotations of the set of tools considered in this implementation. This includes the morphosyntactic, the syntactic and the semantic levels. Goal 5: Implementation of OntoTagger’s configuration, a concrete instance of OntoTag’s abstract architecture for this set of linguistic tools and annotations. This configuration (1) had to use the schema generated in the previous goal; and (2) should help support or refute the hypotheses of this work as well (see the next section). Sub-goal 5.1: Implementation of the decanting processes that facilitate the classification and separation of the results of those linguistic resources that provide annotations at several different levels (on the one hand, LACELL’s tagger operates at the morphosyntactic level and, minimally, also at the semantic level; on the other hand, FDG operates at the morphosyntactic and the syntactic levels and, minimally, at the semantic level as well). Sub-goal 5.2: Implementation of the standardisation processes that allow (i) specifying the results of those linguistic tools that share some level of annotation according to the requirements of OntoTagger’s schema, as well as (ii) combining these shared level results. In particular, all the tools selected perform morphosyntactic annotations and they had to be conveniently combined by means of these processes. Sub-goal 5.3: Implementation of the merging processes that allow for the combination (and possibly the improvement) of the annotations and the interoperation of the tools that share some level of annotation (in particular, those relating the morphosyntactic level, as in the previous sub-goal). Sub-goal 5.4: Implementation of the merging processes that allow for the integration of the different standardised and combined annotations aforementioned, relating all the levels considered. Sub-goal 5.5: Improvement of the semantic level of this configuration by adding a named entity recognition, (sub-)classification and annotation subsystem, which also uses the named entities annotated to populate a domain ontology, in order to provide a concrete application of the present work in the two areas involved (the Semantic Web and Corpus Linguistics). 3. MAIN RESULTS: ASSESSMENT OF ONTOTAG’S UNDERLYING HYPOTHESES The model developed in the present thesis tries to shed some light on (i) whether linguistic annotation tools can effectively interoperate; (ii) whether their results can be combined and integrated; and, if they can, (iii) how they can, respectively, interoperate and be combined and integrated. Accordingly, several hypotheses had to be supported (or rejected) by the development of the OntoTag model and OntoTagger (its implementation). The hypotheses underlying OntoTag are surveyed below. Only one of the hypotheses (H.6) was rejected; the other five could be confirmed. H.1 The annotations of different levels (or layers) can be integrated into a sort of overall, comprehensive, multilayer and multilevel annotation, so that their elements can complement and refer to each other. • CONFIRMED by the development of: o OntoTag’s annotation scheme, o OntoTag’s annotation architecture, o OntoTagger’s (XML, RDF, OWL) annotation schemas, o OntoTagger’s configuration. H.2 Tool-dependent annotations can be mapped onto a sort of tool-independent annotations and, thus, can be standardised. • CONFIRMED by means of the standardisation phase incorporated into OntoTag and OntoTagger for the annotations yielded by the tools. H.3 Standardisation should ease: H.3.1: The interoperation of linguistic tools. H.3.2: The comparison, combination (at the same level and layer) and integration (at different levels or layers) of annotations. • H.3 was CONFIRMED by means of the development of OntoTagger’s ontology-based configuration: o Interoperation, comparison, combination and integration of the annotations of three different linguistic tools (Connexor’s FDG, Bitext’s DataLexica and LACELL’s tagger); o Integration of EuroWordNet-based, domain-ontology-based and named entity annotations at the semantic level. o Integration of morphosyntactic, syntactic and semantic annotations. H.4 Ontologies and Semantic Web technologies (can) play a crucial role in the standardisation of linguistic annotations, by providing consensual vocabularies and standardised formats for annotation (e.g., RDF triples). • CONFIRMED by means of the development of OntoTagger’s RDF-triple-based annotation schemas. H.5 The rate of errors introduced by a linguistic tool at a given level, when annotating, can be reduced automatically by contrasting and combining its results with the ones coming from other tools, operating at the same level. However, these other tools might be built following a different technological (stochastic vs. rule-based, for example) or theoretical (dependency vs. HPS-grammar-based, for instance) approach. • CONFIRMED by the results yielded by the evaluation of OntoTagger. H.6 Each linguistic level can be managed and annotated independently. • REJECTED: OntoTagger’s experiments and the dependencies observed among the morphosyntactic annotations, and between them and the syntactic annotations. In fact, Hypothesis H.6 was already rejected when OntoTag’s ontologies were developed. We observed then that several linguistic units stand on an interface between levels, belonging thereby to both of them (such as morphosyntactic units, which belong to both the morphological level and the syntactic level). Therefore, the annotations of these levels overlap and cannot be handled independently when merged into a unique multileveled annotation. 4. OTHER MAIN RESULTS AND CONTRIBUTIONS First, interoperability is a hot topic for both the linguistic annotation community and the whole Computer Science field. The specification (and implementation) of OntoTag’s architecture for the combination and integration of linguistic (annotation) tools and annotations by means of ontologies shows a way to make these different linguistic annotation tools and annotations interoperate in practice. Second, as mentioned above, the elements involved in linguistic annotation were formalised in a set (or network) of ontologies (OntoTag’s linguistic ontologies). • On the one hand, OntoTag’s network of ontologies consists of − The Linguistic Unit Ontology (LUO), which includes a mostly hierarchical formalisation of the different types of linguistic elements (i.e., units) identifiable in a written text; − The Linguistic Attribute Ontology (LAO), which includes also a mostly hierarchical formalisation of the different types of features that characterise the linguistic units included in the LUO; − The Linguistic Value Ontology (LVO), which includes the corresponding formalisation of the different values that the attributes in the LAO can take; − The OIO (OntoTag’s Integration Ontology), which  Includes the knowledge required to link, combine and unite the knowledge represented in the LUO, the LAO and the LVO;  Can be viewed as a knowledge representation ontology that describes the most elementary vocabulary used in the area of annotation. • On the other hand, OntoTag’s ontologies incorporate the knowledge included in the different standards and recommendations for linguistic annotation released so far, such as those developed within the EAGLES and the SIMPLE European projects or by the ISO/TC 37 committee: − As far as morphosyntactic annotations are concerned, OntoTag’s ontologies formalise the terms in the EAGLES (1996a) recommendations and their corresponding terms within the ISO Morphosyntactic Annotation Framework (ISO/MAF, 2008) standard; − As for syntactic annotations, OntoTag’s ontologies incorporate the terms in the EAGLES (1996b) recommendations and their corresponding terms within the ISO Syntactic Annotation Framework (ISO/SynAF, 2010) standard draft; − Regarding semantic annotations, OntoTag’s ontologies generalise and extend the recommendations in EAGLES (1996a; 1996b) and, since no stable standards or standard drafts have been released for semantic annotation by ISO/TC 37 yet, they incorporate the terms in SIMPLE (2000) instead; − The terms coming from all these recommendations and standards were supplemented by those within the ISO Data Category Registry (ISO/DCR, 2008) and also of the ISO Linguistic Annotation Framework (ISO/LAF, 2009) standard draft when developing OntoTag’s ontologies. Third, we showed that the combination of the results of tools annotating at the same level can yield better results (both in precision and in recall) than each tool separately. In particular, 1. OntoTagger clearly outperformed two of the tools integrated into its configuration, namely DataLexica and FDG in all the combination sub-phases in which they overlapped (i.e. POS tagging, lemma annotation and morphological feature annotation). As far as the remaining tool is concerned, i.e. LACELL’s tagger, it was also outperformed by OntoTagger in POS tagging and lemma annotation, and it did not behave better than OntoTagger in the morphological feature annotation layer. 2. As an immediate result, this implies that a) This type of combination architecture configurations can be applied in order to improve significantly the accuracy of linguistic annotations; and b) Concerning the morphosyntactic level, this could be regarded as a way of constructing more robust and more accurate POS tagging systems. Fourth, Semantic Web annotations are usually performed by humans or else by machine learning systems. Both of them leave much to be desired: the former, with respect to their annotation rate; the latter, with respect to their (average) precision and recall. In this work, we showed how linguistic tools can be wrapped in order to annotate automatically Semantic Web pages using ontologies. This entails their fast, robust and accurate semantic annotation. As a way of example, as mentioned in Sub-goal 5.5, we developed a particular OntoTagger module for the recognition, classification and labelling of named entities, according to the MUC and ACE tagsets (Chinchor, 1997; Doddington et al., 2004). These tagsets were further specified by means of a domain ontology, namely the Cinema Named Entities Ontology (CNEO). This module was applied to the automatic annotation of ten different web pages containing cinema reviews (that is, around 5000 words). In addition, the named entities annotated with this module were also labelled as instances (or individuals) of the classes included in the CNEO and, then, were used to populate this domain ontology. • The statistical results obtained from the evaluation of this particular module of OntoTagger can be summarised as follows. On the one hand, as far as recall (R) is concerned, (R.1) the lowest value was 76,40% (for file 7); (R.2) the highest value was 97, 50% (for file 3); and (R.3) the average value was 88,73%. On the other hand, as far as the precision rate (P) is concerned, (P.1) its minimum was 93,75% (for file 4); (R.2) its maximum was 100% (for files 1, 5, 7, 8, 9, and 10); and (R.3) its average value was 98,99%. • These results, which apply to the tasks of named entity annotation and ontology population, are extraordinary good for both of them. They can be explained on the basis of the high accuracy of the annotations provided by OntoTagger at the lower levels (mainly at the morphosyntactic level). However, they should be conveniently qualified, since they might be too domain- and/or language-dependent. It should be further experimented how our approach works in a different domain or a different language, such as French, English, or German. • In any case, the results of this application of Human Language Technologies to Ontology Population (and, accordingly, to Ontological Engineering) seem very promising and encouraging in order for these two areas to collaborate and complement each other in the area of semantic annotation. Fifth, as shown in the State of the Art of this work, there are different approaches and models for the semantic annotation of texts, but all of them focus on a particular view of the semantic level. Clearly, all these approaches and models should be integrated in order to bear a coherent and joint semantic annotation level. OntoTag shows how (i) these semantic annotation layers could be integrated together; and (ii) they could be integrated with the annotations associated to other annotation levels. Sixth, we identified some recommendations, best practices and lessons learned for annotation standardisation, interoperation and merge. They show how standardisation (via ontologies, in this case) enables the combination, integration and interoperation of different linguistic tools and their annotations into a multilayered (or multileveled) linguistic annotation, which is one of the hot topics in the area of Linguistic Annotation. And last but not least, OntoTag’s annotation scheme and OntoTagger’s annotation schemas show a way to formalise and annotate coherently and uniformly the different units and features associated to the different levels and layers of linguistic annotation. This is a great scientific step ahead towards the global standardisation of this area, which is the aim of ISO/TC 37 (in particular, Subcommittee 4, dealing with the standardisation of linguistic annotations and resources).

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El presente artículo se centra en la aportación del Grupo de Investigación Paisaje Cultural (GIPC/UPM) en el proyecto de investigación PATRAC Patrimonio Accesible: I+D+i para una cultura sin barreras. En el marco de dos subproyectos, se ha trabajado, respectivamente, en el desarrollo de una metodología integrada de identificación y solución de barreras de accesibilidad física a todas las escalas del patrimonio, y en la selección, adaptación y gestión de la información de apoyo a la comprensión del bien patrimonial. El desarrollo se basa en una postura teórica previa: la importancia de la continuidad entre las escalas en la accesibilidad al patrimonio, y la especificidad de la relación entre el individuo y el elemento o entorno patrimonial. Las conclusiones recogen los conceptos que singularizan la aportación del GIPC. Así, se destaca el trabajo en aquellos espacios intermedios que conectan las diferentes escalas a las que se apunta, la calidad del diseño como medio de aplicación de criterios universales para soluciones específicas y la importancia, en la relación entre el hombre y el patrimonio, de la orientación y la identificación. This paper is focused in the contribution of the Grupo de investigación de Paisaje Cultural (GIPC/UPM) (Research Group on Cultural Landscapes) to the PATRACT project. In this framework it has been designed an integrated methodology to identify and solve physical barriers in all the scales of heritage; and in the selection, management and adaptation of information to improve the understanding the importance of heritage. This contribution is supported in a starting theory premise: the importance of continuity in the scales of accessibility to heritage, and the specificity of the relationship between the individual with the element or heritage environment. In the conclusions the GIPC group has strengthened the importance of the intermediate spaces which interlink different scales, using the quality of the design to accomplish specific solutions, and the relation between the human being and heritage as a pivotal point in the orientation and identification processes.

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We attempt to integrate and start up the set of necessary tools to deploy the design cycle of embedded systems based on Embedded Linux on a "Cyclone V SoC" made by Altera. First, we will analyze the available tools for designing the hardware system of the SoCkit development kit, made by Arrow, which has a "Cyclone V SoC" system (based on a "ARM Cortex-A9 MP Core" architecture). When designing the SoCkit board hardware, we will create a new peripheral to integrate it into the hardware system, so it can be used as any other existent resource of the SoCkit board previously configured. Next, we will analyze the tools to generate an Embedded Linux distribution adapted to the SoCkit board. In order to generate the Linux distribution we will use, on the one hand, a software package from Yocto recommended by Altera; on the other hand, the programs and tools of Altera, Embedded Development Suite. We will integrate all the components needed to build the Embedded Linux distribution, creating a complete and functional system which can be used for developing software applications. Finally, we will study the programs for developing and debugging applications in C or C++ language that will be executed in this hardware platform, then we will program a Linux application as an example to illustrate the use of SoCkit board resources. RESUMEN Se pretende integrar y poner en funcionamiento el conjunto de herramientas necesarias para desplegar el ciclo de diseño de sistemas embebidos basados en "Embedded Linux" sobre una "Cyclone V SoC" de Altera. En primer lugar, se analizarán las diversas herramientas disponibles para diseñar el sistema hardware de la tarjeta de desarrollo SoCkit, fabricada por Arrow, que dispone de un sistema "Cyclone V SoC" (basado en una arquitectura "ARM Cortex A9 MP Core"). En el diseño hardware de la SoCkit se creará un periférico propio y se integrará en el sistema, pudiendo ser utilizado como cualquier otro recurso de la tarjeta ya existente y configurado. A continuación, también se analizarán las herramientas para generar una distribución de "Embedded Linux" adaptado a la placa SoCkit. Para generar la distribución de Linux se utilizará, por una parte, un paquete software de Yocto recomendado por Altera y, por otra parte, las propias herramientas y programas de Altera. Se integrarán todos los componentes necesarios para construir la distribución Linux, creando un sistema completo y funcional que se pueda utilizar para el desarrollo de aplicaciones software. Por último, se estudiarán las herramientas para el diseño y depuración de aplicaciones en lenguaje C ó C++ que se ejecutarán en esta plataforma hardware. Se pretende desarrollar una aplicación de ejemplo para ilustrar el uso de los recursos más utilizados de la SoCkit.

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La Tesis Doctoral que se presenta trata de profundizar en el conocimiento del patrimonio arbóreo, en la cuestión de la evaluación y la singularidad a nivel de ejemplares y agrupaciones. La metodología incorpora nuevas herramientas, modelos y criterios utilizados en la valoración del paisaje y de los recursos naturales. Siendo el árbol un generador de espacio y habitats, solo o en masa, es vínculo entre la naturaleza y el ser humano, las comunidades y sus costumbres. Desde estos parámetros se indagan los procesos que permiten estimar el significado, la importancia y el valor del árbol para llevarlo a una consideración de Singular y/o Monumental. El estudio se basa en los sistemas de catalogación, tras el reconocimiento, localization y selección de ejemplares. Así mismo, se explora la relación sistémica entre árbol y entorno para poner de relieve la importancia del árbol en la configuración de determinados paisajes culturales y ecológicos -como son los robledales de antiguos trasmochos en Euskadi-. Sobre un primer inventario se realiza un estudio pormenorizado de cada árbol registrado y, en un procedimiento paramétrico, se definen criterios -ecológicos y paisajísticos, etnográficos y culturales- de selección de elementos y de evaluación. La obtención de distintos índices de singularidad para los árboles, utilizando modelos tanto cualitativos como cuantitativos, sirve como vía hacia una categorization de los árboles muestreados. A partir de la figura de "Árbol Singular", recogida en la Ley 16/ 1994, de Conservación de la Naturaleza del País Vasco se realiza una revisión del marco legislativo y el régimen de protección, haciendo un análisis a nivel local, autonómico y estatal. Dicho examen pone de manifiesto la diversidad de contextos y significados bajo los que se presentan los árboles. Se muestra también una (in)definición: cierta ambigüedad en torno a la definición que induce a diferentes interpretaciones y nomenclaturas en un intento de delimitar la categoría para regularlo jurídicamente. Estas figuras concebidas desde las políticas de protección ambiental, no siempre resultan del todo efectivas. El Catálogo de Árboles Singulares del País Vasco, creado por Decreto como instrumento para poner en valor estos recursos naturales, no ha sido actualizado desde hace casi veinte años. Sin embargo, se han llevado a cabo iniciativas de ampliación como el trabajo impulsado por el Departamento de Medio Ambiente y Biodiversidad de la Diputación Foral de Álava para el inventario de los árboles singulares del Territorio Histórico de Álava y la propuesta de catálogo a partir del cual se desarrolla esta Tesis Doctoral. Desde estas reflexiones y el desarrollo de modelos para la evaluación y catalogación de los ejemplares registrados, la investigación trata de descifrar cómo observamos a los árboles con los que nos vinculamos, cómo son identificados, a través de qué otros parámetros intangibles les damos valor, y por qué necesitamos clasificarlos. El trabajo concluye con propuestas y acciones alternativas para la conservación y mejora de los árboles que se proponen como singulares, entre ellas, la divulgación y la sensibilización para garantizar el compromiso y la ampliación en el futuro de un catálogo abierto para los árboles de interés. ABSTRACT The PhD thesis here presented tries to deepen the knowledge of tree heritage, the issue of evaluation and singularity where it comes to either specimen or groups. The methodology includes new tools, models and criteria to be used in the assessment of landscape and natural resources. With the tree being a creator of space and habitats, alone or in groups, it is a link between nature and humans, societies and their habits. Using these parameters processes are being sought after: processes that allow us to assess the meaning, the importance and the value of trees in order to lead us to considering a tree as being a 'Singular tree' and/or 'Heritage tree'. The research is based on cataloging systems, after recognizing, localizing and selecting of specimen. This way, the systemic relation between the tree and its surrounding is being explored to get a view on the importance of trees in certain cultural and ecological landscapes -such as the oak fields consisting of ancient pollards in the Basque Country-. After a first inventory a detailed study is performed of each registered tree and, using a parametric method, criteria for selection of elements and evaluation are defined -ecological and those concerning the landscape, as well as ethnographical and cultural-. The creation of different indexes of singularity for trees, using qualitative as well as quantitative models, serves as a way to categorize the selected trees. A revision is done on legislation and the protection regimen, analyzing on a local, autonomic state and national level, parting from the concept of the Singular Tree, as included in the Law 16/1994, of Nature Conservation of Basque Coutry. This review proves the diversity of contexts and meanings in which the trees are being presented. Also an (un)definition appears; certain ambiguity of the definition which induces different interpretations and nomenclatures in an attempt to limit categorization in order to legally regulate. These concepts created out of environment protection politics do not always turn out to be completely effective. The Catalogue of Singular Trees in the Basque Country, created by decree as an instrument to value these natural resources, has not been updated since almost twenty years. However, there have been initiatives of amplification such as the work promoted by the Environment and Biodiversity Service of Provincial Council of Alava to create the inventory of singular trees of the Historical Territory of Álava and the catalogue proposal which forms the starting point of this PhD thesis. Parting from these considerations and the development of models for evaluation and cataloging of the registered specimen, the investigation attempts to unravel the way we observe the trees with which we link, how they are identified, by which intangible parameters we assess them and why we need to classify them. This study ends with proposals and alternative actions for the conservation and improvement of the trees that are being proposed as being singular. Among them are the publication and creating of awareness to guarantee the commitment and the development of an open catalogue for significant trees.

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The goal of this study is to better understand the genetic basis of Reading Disability (RD) and Attention Deficit Hyperactivity Disorder (ADHD) by examining molecular G x E interactions with parental education for each disorder. Research indicates that despite sharing genetic risk factors, RD and ADHD are influenced by different types of G x E interactions with parental education - a diathesis stress interaction in the case of ADHD and a bioecological interaction in RD. In order to resolve this apparent paradox, we conducted a preliminary study using behavioral genetic methods to test for G x E interactions in RD and the inattentive subtype of ADHD (ADHD-I) in the same sample of monozygotic and dizygotic Colorado Learning Disabilities Research Center same-sex twin pairs (DeFries et al., 1997), and our findings were consistent with the literature. We posited a genetic hypothesis for this opposite pattern of interactions, which suggests that only genes specific to each disorder enter into these opposite interactions, not the shared genes underlying their comorbidity. This study sought to further investigate this paradox using molecular genetics methods. We examined multiple candidate genes identified for RD or related language phenotypes and those identified for ADHD for G x E interactions with parental education. The specific aims of this study were as follows: 1) partition known risk alleles for RD and/or related language phenotypes and ADHD-I into those which are pleiotropic and non-pleiotropic by testing each risk allele for association with both RD and ADHD-I, 2) explore the main effects of parental education on both RD and ADHD-I, 3) address G-E correlations, and 4) conduct exploratory G x E interaction analyses in order to test the genetic hypothesis. Analyses suggested a number of pleiotropic genes that influence both RD and ADHD; however, results did not remain after correcting for multiple comparisons. Although exploratory G x E interaction findings were not significant after multiple comparison correction, results suggested a G x E interaction in the bioecological direction with KIAA0319, parental education, and ADHD-I. Given the limited power in the current study, replication of these findings with larger samples is necessary.

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OBJETIVO: Analizar la opinión que los usuarios tienen sobre alimentos genéticamente modificados y su información en el etiquetado. MÉTODOS: Realizada revisión sistemática de la literatura científica sobre los alimentos transgénicos y el etiquetado a partir de la consulta de las bases de datos bibliográficas: Medline (vía PubMed), EMBASE, ISIWeb of Knowledge, Cochrane Library Plus, FSTA, LILACS, CINAHL y AGRICOLA. Los descriptores seleccionados fueron: «organisms, genetically modified» y «food labeling». La búsqueda se realizó desde la primera fecha disponible hasta junio de 2012, seleccionando los artículos pertinentes escritos en inglés, portugués y castellano. RESULTADOS: Se seleccionaron 40 artículos. En todos ellos, se debía haber realizado una intervención poblacional enfocada al conocimiento de los consumidores sobre los alimentos genéticamente modificados y su necesidad, o no, de incluir información en el etiquetado. El consumidor expresa su preferencia por el producto no-genéticamente modificado, y apunta que está dispuesto a pagar algo más por él, pero, en definitiva compra el artículo que está a mejor precio en un mercado que acoge las nuevas tecnologías. En 18 artículos la población se mostraba favorable a su etiquetado obligatorio y seis al etiquetado voluntario; siete trabajos demostraban el poco conocimiento de la población sobre los transgénicos y, en tres, la población subestimó la cantidad que consumía. En todo caso, se observó la influencia del precio del producto genéticamente modificado. CONCLUSIONES: La etiqueta debe ser homogénea y aclarar el grado de tolerancia en humanos de alimentos genéticamente modificados en comparación con los no modificados. Asimismo, debe dejar claro su composición, o no, de alimento genéticamente modificado y la forma de producción de estos artículos de consumo. La etiqueta también debe ir acompañada de un sello de certificación de una agencia del estado y datos para contacto. El consumidor expresa su preferencia por el producto no-genéticamente modificado pero señaló que acaba comprando el artículo que está a mejor precio en un mercado que acoge las nuevas tecnologías.

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Over the past few months, four Central European states have made decisions which will determine the shape of their air forces over the next decade. On 11 October, Romania signed a contract under which it will buy twelve used US F-16A/B multi-role fighter aircraft from Portugal. In August, Slovakia signed contracts with Russia’s MiG for repairs and the limited modernisation of its twelve MiG-29 fighter aircraft currently in service. The Czech Republic entered into a preliminary agreement in July with Sweden on extending the lease of fourteen JAS-39 Gripen multi-role fighter aircraft (the new Czech government will hammer out the details following the parliamentary election). Bulgaria, which has been facing financial problems and political instability, in June postponed the purchase of new (non-Soviet) combat aircraft at least until the end of this year. If Sofia decides to buy any within the next few years, these will be not more than twelve relatively old and worn-out machines (most likely F-16A/B from Portuguese or Dutch army surplus). Given the fact that Hungary in 2012 made the same decision regarding its fourteen Gripen aircraft as the Czech Republic, there are good grounds to claim that the capabilities Central European NATO member states have to take action in airspace are durably limited. The region’s saturation with combat aircraft is the lowest when compared to the entire continent (with the exception of the Baltic states). Furthermore, the machines to be used in the coming decade will be the oldest and the least advanced technologically (all of them belong to the so-called “fourth generation”, the roots of which date back to the 1970s). The problem with gaining full interoperability within NATO has not been resolved in its Central European member states. By modernising its MiG-29 aircraft, Slovakia is to say the least postponing the achievement of interoperability once again. Bulgaria will gain interoperability by buying any Western combat aircraft. However, it is very unlikely to introduce new machines into service earlier than at the end of the present decade. Since the introduction of new fifth generation multi-role combat aircraft or transitional 4+ generation machines in the region’s air forces is unrealistic, the defence of the airspace of NATO member states in Central Europe can be termed an ever more porous sky.

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Contributions in English, Spanish, Portuguese or French.

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Kassena or Awuna language : p.[113]-158.

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This text presents developed in the Graduate Program in Science and Mathematics Education at the Federal University of Uberlândia, in which it was intended to answer the question: What are the pedagogical implications for the fractions concept learning for students of the 6th grade of elementary school that the teaching guide activities can provide? The objectives of this research were: a) analyze the possible pedagogical implications for the learning of the fraction's concept for students of the 6th grade of elementary school through guiding teaching activities; b) using the conceptual connections of the fraction to enable students to develop an abstract thought and c) investigate whether guiding teaching activities reflect on 'how to think' and 'how to do' of the student. Five teaching activities have been developed (MOURA, 2002) from the perspective of teaching guiding activity (TGA) and had as object of study the teaching of fractions for students in 6th year of elementary school. They have been prepared and proposed activities in which it was intended to investigate the use of history of mathematics as an aid in learning the conceptual fraction links (CARAÇA, 1951) by students. Such activities, for analysis, were organized into episodes and scenes (MOURA, 2004) and discussed how students deal with the measurement of whole quantity (all) and subunits (part); how they represent in verbal or written language. It is hoped that the research is set up as an important contribution to mathematics teaching area and may contribute to the initial and continuing training of mathematics teacher sand the formation of theoretical thinking of elementary school students.

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Economic policy-making has long been more integrated than social policy-making in part because the statistics and much of the analysis that supports economic policy are based on a common conceptual framework – the system of national accounts. People interested in economic analysis and economic policy share a common language of communication, one that includes both concepts and numbers. This paper examines early attempts to develop a system of social statistics that would mirror the system of national accounts, particular the work on the development of social accounts that took place mainly in the 60s and 70s. It explores the reasons why these early initiatives failed but argues that the preconditions now exist to develop a new conceptual framework to support integrated social statistics – and hence a more coherent, effective social policy. Optimism is warranted for two reasons. First, we can make use of the radical transformation that has taken place in information technology both in processing data and in providing wide access to the knowledge that can flow from the data. Second, the conditions exist to begin to shift away from the straight jacket of government-centric social statistics, with its implicit assumption that governments must be the primary actors in finding solutions to social problems. By supporting the decision-making of all the players (particularly individual citizens) who affect social trends and outcomes, we can start to move beyond the sterile, ideological discussions that have dominated much social discourse in the past and begin to build social systems and structures that evolve, almost automatically, based on empirical evidence of ‘what works best for whom’. The paper describes a Canadian approach to developing a framework, or common language, to support the evolution of an integrated, citizen-centric system of social statistics and social analysis. This language supports the traditional social policy that we have today; nothing is lost. However, it also supports a quite different social policy world, one where individual citizens and families (not governments) are seen as the central players – a more empirically-driven world that we have referred to as the ‘enabling society’.