988 resultados para SPANO, GUIDO


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En esta tesis doctoral pretendo aproximarme a la figura del famoso astrólogo Guido Bonato o Bonatus, así como a su obra, el Tratado de Forlivio sobre los más principales juicios de los astros, traducción castellana llevada a cabo por Auger Ferrer en el siglo XVII (1638) del voluminoso compendio latino Registrum Guidonis Bonati de Forliuio. Decem continens tractatus Astronomie (1491). Así pues, es mi intención, en primera instancia, hacer una extensa introducción a la Historia de la Astrología desde la Antigüedad hasta el Renacimiento, contexto este último en el cual se inscribe el autor de la traducción castellana de la obra del autor latino Bonatus. Me centraré, con especial atención, en los avatares científico-teológicoastrológicos del siglo XIII, siglo en el cual el astrólogo ejerce su labor intelectual. En segundo lugar, pretendo dedicar un espacio a la vida de Guido Bonato, dando una serie de detalles y apuntes biográficos. Asimismo, he de hablar de su extensa producción astrológica en la tercera parte: el Liber astronomicus, posteriormente nombrado como Registrum Guidonis Bonati de Forliuio (1491), Decem continens tractatus astronomie (1506) y De astronomia tractatus decem (1550). En cuarto lugar, intentaré introducir al lector al significado de la extensa y compleja obra latina del astrólogo nativo de Forlí. Por último, destinaré a la quinta y última parte de este trabajo el análisis pormenorizado del Tratado de Forlivio sobre los más principales juicios de los astros. Nuestra obra se adhiere a la corriente de la llamada astrología judiciaria, concretamente a la llamada astrología de interrogaciones o astrología horaria, que predomina en las obras de los astrólogos árabes medievales, según afirma Luis Miguel Vicente García en su obra Estrellas y astrólogos en la literatura medieval española1. De hecho, la parte original latina se intitula «De interrogationibus», «Tractatus interrogationibus seu questioniis guidonis bonati» o «Tractatus super precipuis iudiciis astrorum»...

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Introducción Antonieta Camacho y Tomás Saraví, de PERSPECTIVAS RURALES, mantuvieron un extenso dialogo con Guido Vargas, de larga trayectoria en la Unión Nacional de Pequeños y Medianos Productores (UPANACIONAL) y la Mesa Nacional Campesina de Costa Rica; actualmente es diputado por el Partido Acción Laborista Agrícola (PALA).

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This position paper provides an overview of work conducted and an outlook of future directions within the field of Information Retrieval (IR) that aims to develop novel models, methods and frameworks inspired by Quantum Theory (QT).

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An Introduction to Political Communication introduces students to the complex relationship between politics, the media and democracy in the United Kingdom, United States and other contemporary societies. Brian McNair examines how politicians, trade unions, pressure groups, NGOs and terrorist organisations make use of the media. Individual chapters look at political media and their effects, the work of political advertising, marketing and public relations, and the communicative practices of organizations at all levels, from grass-root campaigning through to governments and international bodies. This fifth edition has been revised and updated to include: • the 2008 US presidential election, and the early years of Barack Obama’s term • the MPs’ expenses scandal in Britain, and the 2010 UK election campaign • the growing role of bloggers and online pundits such as Guido Fawkes in the political agenda setting process • the emergence of social media platforms such as Twitter, YouTube and Facebook, and their destabiising impact on the management of political crises all over the world, including the Iranian pro-reform protests of July 2009 and the Israeli atack on the anti-blockade flotilla of May 2010 • the growing power of Wikileaks and other online information sources to challenge state control of classified information

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Surface coating with an organic self-assembled monolayer (SAM) can enhance surface reactions or the absorption of specific gases and hence improve the response of a metal oxide (MOx) sensor toward particular target gases in the environment. In this study the effect of an adsorbed organic layer on the dynamic response of zinc oxide nanowire gas sensors was investigated. The effect of ZnO surface functionalisation by two different organic molecules, tris(hydroxymethyl)aminomethane (THMA) and dodecanethiol (DT), was studied. The response towards ammonia, nitrous oxide and nitrogen dioxide was investigated for three sensor configurations, namely pure ZnO nanowires, organic-coated ZnO nanowires and ZnO nanowires covered with a sparse layer of organic-coated ZnO nanoparticles. Exposure of the nanowire sensors to the oxidising gas NO2 produced a significant and reproducible response. ZnO and THMA-coated ZnO nanowire sensors both readily detected NO2 down to a concentration in the very low ppm range. Notably, the THMA-coated nanowires consistently displayed a small, enhanced response to NO2 compared to uncoated ZnO nanowire sensors. At the lower concentration levels tested, ZnO nanowire sensors that were coated with THMA-capped ZnO nanoparticles were found to exhibit the greatest enhanced response. ΔR/R was two times greater than that for the as-prepared ZnO nanowire sensors. It is proposed that the ΔR/R enhancement in this case originates from the changes induced in the depletion-layer width of the ZnO nanoparticles that bridge ZnO nanowires resulting from THMA ligand binding to the surface of the particle coating. The heightened response and selectivity to the NO2 target are positive results arising from the coating of these ZnO nanowire sensors with organic-SAM-functionalised ZnO nanoparticles.

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This study reports on the gas sensing characteristics of Fe-doped (10 at.%) tungsten oxide thin films of various thicknesses (100–500 nm) prepared by electron beam evaporation. The performance of these films in sensing four gases (H2, NH3, NO2 and N2O) in the concentration range 2–10,000 ppm at operating temperatures of 150–280 °C has been investigated. The results are compared with the sensing performance of a pure WO3 film of thickness 300 nm produced by the same method. Doping of the tungsten oxide film with 10 at.% Fe significantly increases the base conductance of the pure film but decreases the gas sensing response. The maximum response measured in this experiment, represented by the relative change in resistance when exposed to a gas, was ΔR/R = 375. This was the response amplitude measured in the presence of 5 ppm NO2 at an operating temperature of 250 °C using a 400 nm thick WO3:Fe film. This value is slightly lower than the corresponding result obtained using the pure WO3 film (ΔR/R = 450). However it was noted that the WO3:Fe sensor is highly selective to NO2, exhibiting a much higher response to NO2 compared to the other gases. The high performance of the sensors to NO2 was attributed to the small grain size and high porosity of the films, which was obtained through e-beam evaporation and post-deposition heat treatment of the films at 300 °C for 1 h in air.

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Most approaches to business process compliance are restricted to the analysis of the structure of processes. It has been argued that full regulatory compliance requires information on not only the structure of processes but also on what the tasks in a process do. To this end Governatori and Sadiq[2007] proposed to extend business processes with semantic annotations. We propose a methodology to automatically extract one kind of such annotations; in particular the annotations related to the data schema and templates linked to the various tasks in a business process.

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This paper develops a framework for classifying term dependencies in query expansion with respect to the role terms play in structural linguistic associations. The framework is used to classify and compare the query expansion terms produced by the unigram and positional relevance models. As the unigram relevance model does not explicitly model term dependencies in its estimation process it is often thought to ignore dependencies that exist between words in natural language. The framework presented in this paper is underpinned by two types of linguistic association, namely syntagmatic and paradigmatic associations. It was found that syntagmatic associations were a more prevalent form of linguistic association used in query expansion. Paradoxically, it was the unigram model that exhibited this association more than the positional relevance model. This surprising finding has two potential implications for information retrieval models: (1) if linguistic associations underpin query expansion, then a probabilistic term dependence assumption based on position is inadequate for capturing them; (2) the unigram relevance model captures more term dependency information than its underlying theoretical model suggests, so its normative position as a baseline that ignores term dependencies should perhaps be reviewed.

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Search technologies are critical to enable clinical sta to rapidly and e ectively access patient information contained in free-text medical records. Medical search is challenging as terms in the query are often general but those in rel- evant documents are very speci c, leading to granularity mismatch. In this paper we propose to tackle granularity mismatch by exploiting subsumption relationships de ned in formal medical domain knowledge resources. In symbolic reasoning, a subsumption (or `is-a') relationship is a parent-child rela- tionship where one concept is a subset of another concept. Subsumed concepts are included in the retrieval function. In addition, we investigate a number of initial methods for combining weights of query concepts and those of subsumed concepts. Subsumption relationships were found to provide strong indication of relevant information; their inclusion in retrieval functions yields performance improvements. This result motivates the development of formal models of rela- tionships between medical concepts for retrieval purposes.

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The Australian e-Health Research Centre and Queensland University of Technology recently participated in the TREC 2012 Medical Records Track. This paper reports on our methods, results and experience using an approach that exploits the concept and inter-concept relationships defined in the SNOMED CT medical ontology. Our concept-based approach is intended to overcome specific challenges in searching medical records, namely vocabulary mismatch and granularity mismatch. Queries and documents are transformed from their term-based originals into medical concepts as defined by the SNOMED CT ontology, this is done to tackle vocabulary mismatch. In addition, we make use of the SNOMED CT parent-child `is-a' relationships between concepts to weight documents that contained concept subsumed by the query concepts; this is done to tackle the problem of granularity mismatch. Finally, we experiment with other SNOMED CT relationships besides the is-a relationship to weight concepts related to query concepts. Results show our concept-based approach performed significantly above the median in all four performance metrics. Further improvements are achieved by the incorporation of weighting subsumed concepts, overall leading to improvement above the median of 28% infAP, 10% infNDCG, 12% R-prec and 7% Prec@10. The incorporation of other relations besides is-a demonstrated mixed results, more research is required to determined which SNOMED CT relationships are best employed when weighting related concepts.

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Many existing information retrieval models do not explicitly take into account in- formation about word associations. Our approach makes use of rst and second order relationships found in natural language, known as syntagmatic and paradigmatic associ- ations, respectively. This is achieved by using a formal model of word meaning within the query expansion process. On ad hoc retrieval, our approach achieves statistically sig- ni cant improvements in MAP (0.158) and P@20 (0.396) over our baseline model. The ERR@20 and nDCG@20 of our system was 0.249 and 0.192 respectively. Our results and discussion suggest that information about both syntagamtic and paradigmatic associa- tions can assist with improving retrieval eectiveness on ad hoc retrieval.