14 resultados para Contemporary Spanish novel

em Universidad de Alicante


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The work was financed by the Project: 'Antecedentes históricos de la nutrición comunitaria en España: los primeros intentos de institucionalización, 1923-1947' (HUM2005-04961-C03-01).

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Este artículo considera el papel variable de las mujeres con respecto a la institución del matrimonio y al entorno familiar a través de la representación cinematográfica de relaciones interculturales y de lesbianas. Sostiene que ese tipo de relación constituye un ejemplo de la visibilidad emergente de formas familiares alternativas al modelo heteronormativo. Tomando en cuenta las dimensiones lingüísticas, temporales, y espaciales de estas relaciones, analiza tres películas: Costa Brava: Family Album, A mi madre le gustan las mujeres y Room in Rome. En resumen, el artículo cuestiona la posición del deseo intercultural lésbico dentro de las representaciones cinematográficas de la familia contemporánea en España.

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La Clorosis y la Neurastenia representan dos ejemplos históricos de disociaciones patológicas y de las dificultades que conlleva abordar su diagnóstico con los criterios de la mentalidad científiconatural. En el contexto de aquellas dificultades, el trabajo profundiza en la visión androcéntrica y el discurso ideológico con el que observaba la medicina española contemporánea a la naturaleza femenina y a las patologías de mujeres. Así mismo, a partir de las similitudes mostradas con los actuales síndromes del dolor y la fatiga, la investigación plantea la necesidad de revisar el abordaje clínico de éstas dolencias al intentar superar las limitaciones que ofrece el modelo biomédico.

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La reconstrucción histórica de las prácticas de salud de las mujeres, tomando el caso español como campo de pruebas y modelo de análisis, constituye una de las líneas directrices de éste trabajo. Sobre la base de una importante cantidad de estudios empíricos, ajenos y propios, centrados muy en especial en el área de la enfermería, se puede delinear una imagen de conjunto sobre el trabajo sanitario de las mujeres, en el espacio geográfico y temporal objeto de nuestro estudio y contestar así a una serie de cuestiones en las que lo experto, la experiencia, la autoridad y los procesos de legitimación profesional están omnipresentes. La segunda de las vertientes abordadas es la de las mujeres como pacientes y usuarias de prácticas de salud. Las llamadas “patologías de mujeres” como la clorosis o la neurastenia y el significado histórico del protagonismo de las mujeres en las campañas y programas de educación sanitaria son otros tantos ejemplos que permiten desvelar discursos cargados de elementos ideológicos tradicionales pese a su aparente barniz de modernidad. Como principales conclusiones, hay que destacar la importancia que alcanzaron los discursos androcéntricos en temas concernientes a salud y mujer de forma global, o los más específicos como el del culto a la fecundidad para justificar unas tareas sociales diferentes y complementarias a las del hombre, además de señalar la conveniencia de explorar nuevos caminos a recorrer, tanto desde el punto de vista temático como en lo relativo a los recursos heurísticos.

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Within the context of the health reforms introduced in Spain in the early 20th century and the influence of international health organisations on their development, this article analyses the growing interest that surrounded nourishment and food-related problems at that time in relation to healthcare, the diagnosis provided by hygienists of such problems, and the public health measures applied to resolve them. The issue of hygienic diet and the collective aspect of nutritional problems became priorities in the field of healthcare. Two of the most prominent initiatives involved setting up a Department of Nutrition and Food Hygiene and Bromatological Technique during the early years of the Second Republic, as part of the National School of Health, as well as a Food Hygiene Service. Spanish hygienists underlined the importance of education and the dissemination of information about food hygiene, health and nutrition, in order to overcome the qualitative and quantitative deficiencies observed in the average diet of the Spanish population.

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Póster presentado en Escape 22, European Symposium on Computer Aided Process Engineering, University College London, UK, 17-20 June 2012.

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In this paper, we propose a novel filter for feature selection. Such filter relies on the estimation of the mutual information between features and classes. We bypass the estimation of the probability density function with the aid of the entropic-graphs approximation of Rényi entropy, and the subsequent approximation of the Shannon one. The complexity of such bypassing process does not depend on the number of dimensions but on the number of patterns/samples, and thus the curse of dimensionality is circumvented. We show that it is then possible to outperform a greedy algorithm based on the maximal relevance and minimal redundancy criterion. We successfully test our method both in the contexts of image classification and microarray data classification.

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This paper introduces a novel MILP approach for the design of distillation columns sequences of zeotropic mixtures that explicitly include from conventional to fully thermally coupled sequences and divided wall columns with a single wall. The model is based on the use of two superstructure levels. In the upper level a superstructure that includes all the basic sequences of separation tasks is postulated. The lower level is an extended tree that explicitly includes different thermal states and compositions of the feed to a given separation task. In that way, it is possible to a priori optimize all the possible separation tasks involved in the superstructure. A set of logical relationships relates the feasible sequences with the optimized tasks in the extended tree resulting in a MILP to select the optimal sequence. The performance of the model in terms of robustness and computational time is illustrated with several examples.

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This study analyzes the repeatability, reproducibility and accuracy of a new hyperspectral system based on a pushbroom sensor as a means of measuring spectral features and color of materials and objects. The hyperspectral system consisted of a CCD camera, a spectrograph and an objective lens. An additional linear moving system allowed the mechanical scanning of the complete scene. A uniform overhead luminaire with daylight configuration was used to irradiate the scene using d:45 geometry. We followed the guidelines of the ASTM E2214-08 Standard Practice for Specifying and Verifying the Performance of Color-Measuring Instruments that define the standards and latest multidimensional procedures. The results obtained are analyzed in-depth and compared to those recently reported by other authors for spectrophotometers and multispectral systems. It can be concluded that hyperspectral systems are reliable and can be used in the industry to perform spectral and color readings with a high spatial resolution.

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Mixed metal oxide (MMO) electrodes have been applied to different technologies including chlorine production, organic compounds oxidation, water electrolysis, electroplating, etc. due to their catalytic, optical and electronic properties. Most of the existing MMO electrodes contain either toxic metals or precious metals of the platinum group. The aim of this study was to develop environmentally friendly and cost-effective MMO electrodes for water and organic compounds oxidation. Ti/Ta2O5-SnO2 electrodes of different nominal composition were prepared, and electrochemically and physically characterized. For water oxidation, Ti/SnO2 electrode with 5 at.% of Ta produced the highest electroactivity. Ti/SnO2 electrode with 7.5 at.% of Ta showed the best performance for the oxidation of methylene blue (MB). The electrocatalytic activity of the Ti/Ta2O5-SnO2 electrodes increased with the number of active layers. The maximum current of water oxidation reached 3.5 mA at 2.5 V when the electrode was covered with ten layers of Ta2O5. In case of the oxidation of 0.1 mM MB, eight and ten active layers of Ta2O5 significantly increased the electrode activity. The prepared electrodes have been found applicable for both water electrolysis and organic compounds oxidation.

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Novel nano-biocomposite films based on poly (lactic acid) (PLA) were prepared by incorporating thymol, as the active additive, and modified montmorillonite (D43B) at two different concentrations. A complete thermal, structural, mechanical and functional characterization of all nano-biocomposites was carried out. Thermal stability was not significantly affected by the addition of thymol, but the incorporation of D43B improved mechanical properties and reduced the oxygen transmission rate by the formation of intercalated structures, as suggested by wide angle X-ray scattering patterns and transmission electron microscopy images. The addition of thymol decreased the PLA glass transition temperature, as the result of the polymer plasticization, and led to modification of the elastic modulus and elongation at break. Finally, the amount of thymol remaining in these formulations was determined by liquid chromatography (HPLC-UV) and the antioxidant activity by the DPPH spectroscopic method, suggesting that the formulated nano-biocomposites could be considered a promising antioxidant active packaging material.

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To obtain insights into archaeal nitrogen signaling and haloadaptation of the nitrogen/carbon/energy-signaling protein PII, we determined crystal structures of recombinantly produced GlnK2 from the extreme halophilic archaeon Haloferax mediterranei, complexed with AMP or with the PII effectors ADP or ATP, at respective resolutions of 1.49 Å, 1.45 Å, and 2.60 Å. A unique trait of these structures was a three-tongued crown protruding from the trimer body convex side, formed by an 11-residue, N-terminal, highly acidic extension that is absent from structurally studied PII proteins. This extension substantially contributed to the very low pI value, which is a haloadaptive trait of H. mediterranei GlnK2, and participated in hexamer-forming contacts in one crystal. Similar acidic N-extensions are shown here to be common among PII proteins from halophilic organisms. Additional haloadaptive traits prominently represented in H. mediterranei GlnK2 are a very high ratio of small residues to large hydrophobic aliphatic residues, and the highest ratio of polar to nonpolar exposed surface for any structurally characterized PII protein. The presence of a dense hydration layer in the region between the three T-loops might also be a haloadaptation. Other unique findings revealed by the GlnK2 structure that might have functional relevance are: the adoption by its T-loop of a three-turn α-helical conformation, perhaps related to the ability of GlnK2 to directly interact with glutamine synthetase; and the firm binding of AMP, confirmed by biochemical binding studies with ATP, ADP, and AMP, raising the possibility that AMP could be an important PII effector, at least in archaea.

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Human behaviour recognition has been, and still remains, a challenging problem that involves different areas of computational intelligence. The automated understanding of people activities from video sequences is an open research topic in which the computer vision and pattern recognition areas have made big efforts. In this paper, the problem is studied from a prediction point of view. We propose a novel method able to early detect behaviour using a small portion of the input, in addition to the capabilities of it to predict behaviour from new inputs. Specifically, we propose a predictive method based on a simple representation of trajectories of a person in the scene which allows a high level understanding of the global human behaviour. The representation of the trajectory is used as a descriptor of the activity of the individual. The descriptors are used as a cue of a classification stage for pattern recognition purposes. Classifiers are trained using the trajectory representation of the complete sequence. However, partial sequences are processed to evaluate the early prediction capabilities having a specific observation time of the scene. The experiments have been carried out using the three different dataset of the CAVIAR database taken into account the behaviour of an individual. Additionally, different classic classifiers have been used for experimentation in order to evaluate the robustness of the proposal. Results confirm the high accuracy of the proposal on the early recognition of people behaviours.

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The Web 2.0 has resulted in a shift as to how users consume and interact with the information, and has introduced a wide range of new textual genres, such as reviews or microblogs, through which users communicate, exchange, and share opinions. The exploitation of all this user-generated content is of great value both for users and companies, in order to assist them in their decision-making processes. Given this context, the analysis and development of automatic methods that can help manage online information in a quicker manner are needed. Therefore, this article proposes and evaluates a novel concept-level approach for ultra-concise opinion abstractive summarization. Our approach is characterized by the integration of syntactic sentence simplification, sentence regeneration and internal concept representation into the summarization process, thus being able to generate abstractive summaries, which is one the most challenging issues for this task. In order to be able to analyze different settings for our approach, the use of the sentence regeneration module was made optional, leading to two different versions of the system (one with sentence regeneration and one without). For testing them, a corpus of 400 English texts, gathered from reviews and tweets belonging to two different domains, was used. Although both versions were shown to be reliable methods for generating this type of summaries, the results obtained indicate that the version without sentence regeneration yielded to better results, improving the results of a number of state-of-the-art systems by 9%, whereas the version with sentence regeneration proved to be more robust to noisy data.