62 research outputs found

    Análisis de resultados de la evaluación continua en Estadística II de ADE en el curso 2012-2013: comparación con otros grados

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    Una de las implicaciones más relevantes derivada de la convergencia hacia el espacio europeo de educación superior es que el alumno se convierte en el centro de su propio proceso de aprendizaje y el sistema de evaluación continua constituye un elemento esencial a la hora de valorar la adquisición de los contenidos y las competencias de una asignatura. Lo que pretendemos es analizar una experiencia concreta de evaluación continua realizada en la asignatura de Estadística II con el fin de conocer si el nuevo sistema educativo está teniendo efectos reales sobre el aprendizaje de los alumnos.Departamento de Economía AplicadaGrado en Administración y Dirección de Empresa

    Person Deixis in the Dynamic of the American Political Discourse

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    Person deixis has been a matter of concern in political discourse and cognitive linguistics since politicians manipulate the linguistic system for persuasive purposes. This study compares two different American political speeches, Donald Trump’s Inauguration speech and Hillary Clinton’s Concession speech regarding person deixis, namely personal and possessive pronouns, to denote if the different political speech genres, imply a varietal deictic purpose. The analysis shows differences in person deictic usages and frequency are related to the political frame’s target.La deixis de persona se ha analizado en el discurso político y en la lingüística cognitiva, ya que los políticos manipulan el sistema lingüístico con fines persuasivos. Este estudio analiza la deixis de persona en dos discursos políticos estadounidenses, el discurso de investidura de Donald Trump y el discurso de concesión de Hillary Clinton, centrándose en los pronombres personales y los adjetivos posesivos. El objetivo principal es determinar si los diferentes géneros de discursos políticos varían el objetivo de los usos deícticos. El análisis demuestra que las diferencias en el uso y la frecuencia de los deícticos de persona se atribuyen a la finalidad política.Departamento de Filología InglesaGrado en Estudios Inglese

    Despegamos juntos: un proyecto de intervención psicosocial de apoyo a la emancipación para jóvenes en riesgo de exclusión social

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    El presente trabajo se centra en el apoyo psicosocial como factor de intervención con jóvenes que se encuentran en situaciones de vulnerabilidad y son susceptibles de vivir en exclusión social. Para el desarrollo de la propuesta de intervención se realiza en primer lugar, una revisión bibliográfica que permite conocer el contexto sociocomunitario en el que se propone desarrollar la intervención. Posteriormente, se desarrolla la propuesta de intervención, que está pensada como un recurso permanente de apoyo a los jóvenes y adolescentes que se encuentren en riesgo, y como un punto de encuentro para fomentar la formación de una red de apoyo social. Los recursos de apoyo psicosocial para este tipo de colectivo son escasos, por lo que esta intervención se considera una aportación significativa en cuanto a recursos alternativos.Máster en Formación de Educadores para la Intervención Sociocomunitari

    Analysis and visualization of social user communities

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    In this paper, a novel framework for social user clustering is proposed. Given a current controversial political topic, the Louvain Modularity algorithm is used to detect communities of users sharing the same political preferences. The political alignment of a set of users is labeled manually by a human expert and then the quality of the community detection is evaluated against this gold standard. In the last section, we propose a novel force-directed graph algorithm to generate a visual representation of the detected communities. 

    Hybridizing metric learning and case-based reasoning for adaptable clickbait detection.

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    [EN]The term clickbait is usually used to name web contents which are specifically designed to maximize advertisement monetization, often at the expense of quality and exactitude. The rapid proliferation of this type of content has motivated researchers to develop automatic detection methods, to effectively block clickbaits in different application domains. In this paper, we introduce a novel clickbait detection method. Our approach leverages state-of-the-art techniques from the fields of deep learning and metric learning, integrating them into the Case-Based Reasoning methodology. This provides the model with the ability to learn-over-time, adapting to different users’ criteria. Our experimental results also evidence that the proposed approach outperforms previous clickbait detection methods by a large margin

    Monitoring and analysis of vital signs of a patient through a multi-agent application system

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    In the medical environment, the clinical study of the most basic vital signs of a patient represents the simplest and most effective way to detect and monitor health problems. There are many diseases that can be diagnosed and controlled through regular monitoring of these medical data. The purpose of this study is to develop a monitoring and tracking system for the various vital signs of a patient. In particular, this work focuses on the design of a multi-agent architecture composed of virtual organizations with capabilities to integrate different medical sensors on an open, low-cost hardware platform. This system integrates hardware and software elements needed for the routine measurement of vital signs, performed by the patient or caregiver without having to go to a medical center

    Wireless controller and smartphone based interaction system for electric bicycles

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    [EN]Throughout the last years, great improvements have been made in the automotive industry, a sector with a high impact in both economics and social environments. Many development efforts have targeted on satisfying the need of providing smart environments to the end user in vehicles, such as cars. This paper proposes a brand-new solution in the automotive field, consisting of a new product family which aims to transform the traditional bicycle to an electric bicycle using an architecture that provides an adaptive environment to the user, improving the driving experience enabling value-added services

    Analysis and visualisation of Social User Communities

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    In this paper, a novel framework for social user clustering is proposed. Given a current controversial political topic, the Louvain Modularity algorithm is used to detect communities of users sharing the same political preferences. The political alignment of a set of users is labeled manually by a human expert and then the quality of the community detection is evaluated against this gold standard. In the last section, we propose a novel force-directed graph algorithm to generate a visual representation of the detected communities. 

    Twitter User Clustering Based on Their Preferences and the Louvain Algorithm

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    In this paper, a novel agent-based platform for Twitter user clustering is proposed. We describe how our system tracks the activity for a given topic in the social network and how to detect communities of users with similar political preferences by means of the Louvain Modularity. The quality of this clustering method is evaluated against a subset of human-labeled user profiles. Finally, we propose combining community detection with a force-directed graph algorithm to produce a visual representation of the political communities

    Monitoring and analysis of vital signs of a patient through a multi-agent application system

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    In the medical environment, the clinical study of the most basic vital signs of a patient represents the simplest and most effective way to detect and monitor health problems. There are many diseases that can be diagnosed and controlled through regular monitoring of these medical data. The purpose of this study is to develop a monitoring and tracking system for the various vital signs of a patient. In particular, this work focuses on the design of a multi-agent architecture composed of virtual organizations with capabilities to integrate different medical sensors on an open, low-cost hardware platform. This system integrates hardware and software elements needed for the routine measurement of vital signs, performed by the patient or caregiver without having to go to a medical center
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