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Waves are, in general, a very efficient way of energy transport other than mean fluid flow. Energy balance at several scales must take into account the contribution of internal gravity waves. In this work, classical theory of internal gravity waves is extended to a model that takes into account for the viscosity and thermal conductivity of fluids, properties that are shown to be the key to understand several observed new phenomena in atmosphere-like and ocean-like fluids as well. The model discussed is achieved under several approximations and using linear stability theory. Additionally, boundary conditions are presented and discussed. The resulting model has the important feature of having analytical solution. Dispersion relation of internal gravity waves in case of viscous and thermal conductive flow, as well as a comparison to classical non viscous flow dispersion relation are discussed and some results are presented.0Doctoral Thesis6862<a class="citation_author_name" title="Navegar por nombre de Autor de Carracedo Garca, Pablo E." href="/fez/list/author/Carracedo Garca, Pablo E./">Carracedo Garca, Pablo E.</a>. (<span class="citation_date">2015</span>). <i><a class="citation_title" title="Click para ver : Ondas de gravedad internas en fluidos viscosos y termoconductivos" href="/fez/view/bibliuned:master-Ciencias-FSC-Pecarracedo">Ondas de gravedad internas en fluidos viscosos y termoconductivos</a></i> Master Thesis, <span class="citation_publisher">Universidad Nacional de Educación a Distancia (España). Facultad de Ciencias</span>Recordmaster TesisPublishedFísicaUniversidad Nacional de Educación a Distancia (España). Facultad de CienciasCarracedo Garca, Pablo E.Crespo del Arco, Emilia (Tutora)Sánchez Álvarez, José Joaquín (Tutor)bibliuned:master-Ciencias-FSC-Pecarracedohttp://e-spacio.uned.es/fez/view/bibliuned:master-Ciencias-FSC-PecarracedospaCarracedo_Garcia_Pablo_TFM.pdfpresmd_Carracedo_Garcia_Pablo_TFM.xmlbibliuned:master-Ciencias-FSCbibliuned:Settrabajosfindemasterbibliuned:SetopenaireMáster Universitario en Física de Sistemas Complejos (UNED)Set de items trabajo fin de másterSet de openaireCarracedo GarcaAcceso abierto2.424650731982016-09-01T00:00:00Z442021-07-19T18:47:01Z2021-07-19T19:21:25ZForecasting Airborne Pollen Concentrations through Random Forestsbibliuned:master-ETSInformatica-IAA-RnavaresPoaceae is the largest family of monocotyledonous flowering plants, known as grasses and considered to be one of the most important aeroallergens in Europe. The increase of allergy cases and the severity of the reactions motivates the prediction of atmospheric concentrations in order to minimize the exposure to risky pollen levels. Also, it is of large interest for clinical institutions in order to apply preventive measures and plan in advance the implications of an increase number of allergy patients. Phenological and meteorological parameters characterize the stages of vegetation development during the growing season. Thus, they can be potentially related to the biological definition of plant phenology. In this thesis, time series of airborne pollen concentrations and meteorological variables measured at the region of Madrid were used to predict risk pollen concentrations for patients. Detailed relationships were established between future airborne concentrations, meteorological data, and flowering states derived from the inner information of the underlying data via computational intelligence models. Therefore, these data were used to develop predictive models for a range of forecast horizons. The proposal will be beneficial to the medical fields related with allergies affections planning and treatment, demonstrating that computational intelligence holds a great potential for aerobiology. In this research, we demonstrated several novel approaches that significantly contribute to the field of aerobiology including: (i) developing a computational intelligencebased model to predict risk concentration levels, and consequently the start and end of pollen season, for long term horizons up to 6 months, on which none of previous works succeed to obtain satisfactory results, (ii) identifying and characterizing the most influential factors which induce the presence of high airborne concentrations for a given set of horizons, using an assumption-free approach which supports biometeorological findings from other authors. The findings of the research are related to producing more accurate prediction models and providing a comprehensive analysis of the relationship of airborne concentrations with various meteorological parameters. As a product of this study, a version of Chapter 3 of this thesis was accepted and presented at the International Work Conference on Time Series Analysis (2016)1, and it has been selected to be extended and submitted as a book chapter in the Springer series Contributions to Statistics2. A version of Chapter 5 has been published as a full paper in the International Journal of Biometeorology3 and Chapter 4 is in preparation to be sent to an international journal for publication.0Doctoral Thesis3172<a class="citation_author_name" title="Navegar por nombre de Autor de Navares Echegaray, Ricardo" href="/fez/list/author/Navares Echegaray, Ricardo/">Navares Echegaray, Ricardo</a>. (<span class="citation_date">2016</span>). <i><a class="citation_title" title="Click para ver : Forecasting Airborne Pollen Concentrations through Random Forests" href="/fez/view/bibliuned:master-ETSInformatica-IAA-Rnavares">Forecasting Airborne Pollen Concentrations through Random Forests</a></i> Master Thesis, <span class="citation_publisher">Universidad Nacional de Educación a Distancia (España). Escuela Técnica Superior de Ingeniería Informática. Departamento de Inteligencia Artificial.</span>Recordmaster TesisPublishedIngeniería InformáticaUniversidad Nacional de Educación a Distancia (España). Escuela Técnica Superior de Ingeniería Informática. Departamento de Inteligencia Artificial.Navares Echegaray, RicardoAznarte Mellado, José Luisbibliuned:master-ETSInformatica-IAA-Rnavareshttp://e-spacio.uned.es/fez/view/bibliuned:master-ETSInformatica-IAA-RnavaresengNavares_Echegaray_Ricardo_TFM.pdfpresmd_Navares_Echegaray_Ricardo_TFM.xmlbibliuned:master-ETSInformatica-IAAbibliuned:Settrabajosfindemasterbibliuned:SetopenaireMáster Universitario en I.A. Avanzada: Fundamentos, Métodos y Aplicaciones (UNED)Set de items trabajo fin de másterSet de openaireNavares EchegarayacceptedVersion2.331644331982023-03-14T00:00:00Z5022023-03-30T04:05:04Z2023-03-30T04:05:04ZMaxine Hong Kingston’s The Woman Warrior: Chinese American Hybriditybibliuned:master-Filologia-ELyCIyPS-JromanThe present study aims to explore Chinese American identity, analyzing Maxine Hong Kingston’s The Woman Warrior: Memoirs of a Girlhood Among Ghosts and drawing a comparison with contemporary examples of Chinese American identity. The main thesis of this research is to reveal whether Chinese American identity has evolved from the 1970s to nowadays, and discuss the factors which may have an influence on how Chinese Americans perceive themselves. The main two factors considered are the changing social environment within the United States in terms of race (internal dynamics); and the economic development and growing international influence of the People’s Republic of China (external dynamics). To this aim, I will address relevant concepts such as Gloria Andaldúa’s ‘border theory’ and Homi Bhabha’s ‘hybridity’, in order to position a third role within the ethnic black/white, minority/majority establishment. The State of the Art will introduce relevant research on Chinese American identity and Postcolonial theory. Ling-chi Wang will provide the theoretical framework through which to analyze some of the different stages in the development of Chinese American identity. Julia Lee and Bella Adam’s work on Maxine Hong Kingston’s oeuvre will be the basis to explore the themes discussed in The Woman Warrior as well as the historical and literary context in the second chapter. Finally, in the third chapter, I will present some contemporary examples of Chinese American identity in the United States media (film and stand-up comedy), and another set of examples of how the Chinese Diaspora is perceived in China. To conclude, I will briefly discuss how the Chinese Spanish identity is now emerging as a new reality. This study aims to show how Chinese American hybridity was a third pole within the white and black racial binary opposition, and how Chinese American identity evolves with the internal social dynamics within the United States, alongside the external fluctuation of China-U.S. relations; and aims to understand how modern Chinese Americans navigate their hybrid identity and perceive themselves in comparison to Kingston’s exploration of identity.0Doctoral Thesis4372<a class="citation_author_name" title="Navegar por nombre de Autor de Román García, Javier" href="/fez/list/author/Román García, Javier/">Román García, Javier</a>. (<span class="citation_date">2023</span>). <i><a class="citation_title" title="Click para ver : Maxine Hong Kingston’s The Woman Warrior: Chinese American Hybridity" href="/fez/view/bibliuned:master-Filologia-ELyCIyPS-Jroman">Maxine Hong Kingston’s The Woman Warrior: Chinese American Hybridity</a></i> Master Thesis, <span class="citation_publisher">Universidad Nacional de Educación a Distancia (España). Facultad de Filología</span>Recordmaster TesisPublishedFilologíaUniversidad Nacional de Educación a Distancia (España). Facultad de FilologíaRomán García, JavierBallesteros González, Antonio Andrésbibliuned:master-Filologia-ELyCIyPS-Jromanhttp://e-spacio.uned.es/fez/view/bibliuned:master-Filologia-ELyCIyPS-JromanengRoman_Garcia_Javier_TFM.pdfpresmd_Roman_Garcia_Javier_TFM.xmlbibliuned:master-Filologia-ELyCIyPSbibliuned:Settrabajosfindemasterbibliuned:SetopenaireMáster Universitario en Estudios Literarios y Culturales Ingleses y su Proyección Social (UNED)Set de items trabajo fin de másterSet de openaireRomán GarcíaAcceso abierto2.243239231982019-09-25T00:00:00Z13812020-10-19T19:18:01Z2020-10-19T19:18:01ZInterpretable forecasts of NO2 concentrations through deep SHAPbibliuned:master-ETSInformatica-IAA-MvegaIncreasing in pollution levels in cities, especially in developed countries, and the consequences that it has on health and environmental, have prompted institutions to take preventive measures to reduce pollution levels. European Union has established thresholds for certain gases, such as nitrogen dioxide (NO2). If these thresholds are exceeded, institutions of each city belonging to the EU, must activate measures previously defined, to go down NO2 concentrations. Meteorological parameters are related to episodes of high/low NO2 concentrations. In this paper, pollution time series and meteorological features measured in the Madrid region were used to predict NO2 concentrations. Detailed relationships between NO2 concentrations and meteorological data were established through computational intelligence models. Therefore, these data were used to develop a predictive model. The proposal shows good precision in the prediction, proving computational intelligence has great potential in the pollution time series forecasting. When constructing a prediction model, in addition obtaining good accuracy, it is important to know why that prediction is made. Interpreting the output of the computational intelligence model is difficult due to the architecture of the model itself. A SHAP (SHapley Additive Explanations) approach is applied to interpret the complex model outputs. This method assigns each feature a value of importance for a particular prediction. Three SHAP-based explanation methods are compared to determine which method is more suitable for the pollution time series data and for the computational intelligence model chosen. In this research therefore, a model based on computational intelligence is developed to predict the levels of NO2 concentrations. Through methods based on explanations we will obtain a deeper vision of how the computational intelligence model behaves on the pollution time series, allowing an increase in the confidence of the users on the results obtained from the prediction model. As a product of this study, a short version of this document has been sent for consideration in the Ecological Informatics1 international journal on computational ecology and ecological data science.0Doctoral Thesis5312<a class="citation_author_name" title="Navegar por nombre de Autor de Vega García, María" href="/fez/list/author/Vega García, María/">Vega García, María</a>. (<span class="citation_date">2019</span>). <i><a class="citation_title" title="Click para ver : Interpretable forecasts of NO2 concentrations through deep SHAP" href="/fez/view/bibliuned:master-ETSInformatica-IAA-Mvega">Interpretable forecasts of NO2 concentrations through deep SHAP</a></i> Master Thesis, <span class="citation_publisher">Universidad Nacional de Educación a Distancia (España). Escuela Técnica Superior de Ingeniería Informática. Departamento de Inteligencia Artificial</span>Recordmaster TesisPublishedIngeniería InformáticaUniversidad Nacional de Educación a Distancia (España). Escuela Técnica Superior de Ingeniería Informática. Departamento de Inteligencia ArtificialVega García, MaríaAznarte Mellado, Jose Luisbibliuned:master-ETSInformatica-IAA-Mvegahttp://e-spacio.uned.es/fez/view/bibliuned:master-ETSInformatica-IAA-MvegaengVega_Garcia_Maria_TFM.pdfpresmd_Vega_Garcia_Maria_TFM.xmlbibliuned:master-ETSInformatica-IAAbibliuned:Settrabajosfindemasterbibliuned:SetopenaireMáster Universitario en I.A. Avanzada: Fundamentos, Métodos y Aplicaciones (UNED)Set de items trabajo fin de másterSet de openaireVega GarcíaAcceso abierto2.1366754442442442