PAlAbrAs clAvEAnálisis del discurso; Metodología; investigación en salud; chile.resumen El discurso se considera algo más que el lenguaje oral o escrito, se refiere a cómo se usa el lenguaje en la realidad de los contextos sociales. Esta revisión narrativa del Análisis del discurso (Ad), que emerge de las ciencias sociales aborda el lenguaje como un evento comunicativo dentro de un contexto social en donde se sitúan las interacciones humanas. de este modo, el Ad explora las relaciones entre los textos y la realidad haciendo visibles los discursos, sus puntos de origen, como ellos fluyen, y que los acompañan. Hay varias perspectivas teóricas que proveen de diferentes tipos de análisis. El Ad, así, es un fértil campo metodológico para investigadores de las ciencias de la salud dado por las prácticas discursivas específicas en las cuales el lenguaje se manifiesta dentro de los contextos institucionales de salud en la sociedad. Discourse analysis: a methodological perspective for health researchersAbstract discourse is something else that language in oral or text forms, it´s how language is used in social contexts. this narrative review of discourse Analysis (dA), which comes from social sciences disciplines to approach language as a communicative event embedded in social context where human interactions occurred. in this sense, dA explores the relationships between texts and reality making visible the discourses, their start point, their flow and everything else that goes with them. there is a variety of theoretical perspectives which providing different KEYWOrDs discourse analysis; Methodology; Health research; chile.
<p>The detection of areas of the Earth&#8217;s surface experiencing active deformation processes and the identification of the responsible phenomena (e.g. landslides activated after rainy events, subsidence due to groundwater extraction in agricultural areas, consolidation settlements, instabilities in active or abandoned mines) is critical for geohazard risk management and ultimately to mitigate the unwanted effects on the affected populations and the environment.</p><p>This will now be possible at European level thanks to the Copernicus European Ground Motion Service (EGMS), which will provide ground displacement measurements derived from time series analyses of Sentinel-1 data, using Interferometric Synthetic Aperture Radar (InSAR). The EGMS, which will be available to users in the first quarter of 2022 and will be updated annually, will be especially useful to identify displacements associated to landslides, subsidence and deformation of infrastructure. &#160;To fully exploit the capabilities of this large InSAR datasets, it is fundamental to develop automatic analysis tools, such as machine learning algorithms, which require an InSAR-derived deformation database to train and improve them. &#160;</p><p>Here we present the preliminary InSAR-derived deformation database developed in the framework of the SARAI project, which incorporates the previous InSAR results of the IGME-InSARlab and CTTC teams in Spain. The database contains classified points of measurement with the associated InSAR deformation and a set of environmental variables potentially correlated with the deformation phenomena, such as geology/lithology, land-surface slope, land cover, meteorological data, population density, and inventories such as the mining registry, the groundwater database, and the IGME&#8217;s land movements database (MOVES). We discuss the main strategies used to identify and classify pixels and areas that are moving, the covariables used and some ideas to improve the database in the future. This work has been developed in the framework of project PID2020-116540RB-C22 funded by MCIN/ AEI /10.13039/501100011033&#160;and e-Shape project, with funding from the European Union&#8217;s Horizon 2020 research and innovation program under grant agreement 820852.</p>
CAPITULO 4: APLICACIÓN. 4.1. Introducción. 4.2. Acciones sísmicas en la Ciudad de Murcia. Tipo de terremoto esperable. Selección de acelerogramas. 4.3. Influencia geotécnica en la respuesta sísmica. 4.3.1. Modelo del subsuelo para MZS de la Ciudad de Murcia. Características de las propiedades dinámicas de los suelos. Zonificación de Vs 4.3.2. Parámetros de amplitud del movimiento del suelo: PGA, PGV. 4.3.3. Parámetros de contenido de frecuencias. Parámetros espectrales (SA, SV y SD y Periodo predominante (Tp)). Funciones de transferencia (FT). Comparativa con la NCSR-02 y EC8. 4.3.4. Resultados de la modelización del movimiento del suelo por posición del Nivel Freático (NF). CAPITULO 5: DISCUSIÓN. 5.1. Introducción. 5.2. Análisis de antecedentes. 5.3. Modelos de respuesta en 1D. 5.4. Análisis de factores. 5.4.1. Vs. 5.4.2. Espesor de capa. Secuencias de capas. 5.4.3. Peso unitario. 5.4.4. Curvas de materiales. (G/Gmax-γ y D-γ). 5.4.5. La posición del nivel freático.
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