Sistema de búsqueda y análisis basado en twitter

Las redes sociales están en constante crecimiento y cada día son más los datos que producen. Esta enorme cantidad hace necesario la introducción de análisis automáticos ya que empresas y gobiernos no pueden emplear a personas suficientes para leer cada publicación en las redes en tiempo real. En concreto, Twitter, la red social que trataremos, con cerca de trescientos millones de usuarios activos y trescientos cincuenta millones de publicaciones al día, supone un reto añadido. En este Trabajo Fin de Grado se presenta una herramienta que unifica la búsqueda en la red social y el almacenamiento en local de datos recuperados junto con técnicas de clasificación automática basada en análisis de texto. Se ha intentado simplificar el acceso a los datos con una interfaz web, junto con una capa de abstracción en el entrenamiento de los clasificadores automáticos. El TFG se divide en dos herramientas principales: el demonio de tareas que se ha creado para automatizar la recuperación y clasificación de tweets, y la herramienta web que muestra las publicaciones con un análisis sencillo, ayuda a crear patrones de entrenamiento y programar las tareas en segundo plano. Se ha buscado minimizar el tiempo de espera para mejorar la experiencia de uso del usuario, suponiendo un reto de sincronización entre el servidor y la aplicación. Por último, se ha comprobado que el clasificador más óptimo es el perceptrón multicapa, que aunque es más lento en entrenamiento, obtiene menor error y a la vez es más rápido que otros clasificadores en tiempo de explotación.Social networks are constantly growing and every day they produce more data. This huge amount makes necessary the introduction of automatic analysis as companies and governments cannot employ enough staff to read each networks' publications in real-time. Specifically, Twitter, the social network that we discuss, with about three hundred million active users and three hundred fifty million posts per day, represents an additional challenge. In this Final Project we present a tool that unifies searching the social network and local storage of data retrieved with automatic classification techniques based on text analysis. We attempted to simplify the access to the data with a web interface, together with a layer of abstraction in training automatic classifiers. The TFG is divided into two main tools: the demon of tasks that has been created to automate the retrieval and classification of tweets, and the web tool that shows publications with a simple analysis, helps in creating training patterns and schedule tasks in the background. We tried to minimize the waiting time to improve the user's experience, confronting the challenge of synchronization between the server and the application. Finally, it was found that the optimal classifier is the Multilayer Perceptron, although it is slower in training, it gets less error and is faster than other classifiers while operating

Indicadores e rácios que determinam a rentabilidade dos capitais próprios

No âmbito da gestão das empresas, a obtenção de rentabilidade considera-se um dos objetivos empresariais mais relevantes a ter em conta, no sentido de permitir a subsistência das empresas e potenciar o seu crescimento. Assim, é fundamental analisar aquela que é, preferencialmente, considerada a medida de excelência da rentabilidade auferida pelos sócios/acionistas – a rentabilidade dos capitais próprios. Neste estudo procedeu-se à recolha de informação disponível numa base de dados relativa a empresas pertencentes ao índice Euronext 100. A informação recolhida foi tratada e, posteriormente, foi usada a metodologia econométrica de regressão Ordinary Least Squares, com o objetivo de identificar os indicadores e rácios com maior poder explicativo da rentabilidade dos capitais próprios dessa amostra de empresas. Concluiu-se que a rentabilidade do ativo, a rentabilidade das vendas e o lucro líquido das ações ordinárias são as variáveis explicativas que parecem deter um poder explicativo mais estatisticamente significativo na determinação da rentabilidade dos capitais próprios.info:eu-repo/semantics/publishedVersio

Almanaque de Zamora y guía del forastero para el año de 1878

Copia digital. Valladolid : Junta de Castilla y León. Consejería de Cultura y Turismo, 2009-201

Usos y consumos del pago por visión digital en España

La televisión digital ha sido la introductora del pago por visión en España a partir de 1997 de la mano de las plataformas por satélite. Este artículo, basado en un trabajo de 206 encuestas personales a consumidores de tv digital por satélite en cinco ciudades españolas (Madrid, Barcelona, Sevilla, Valladolid y Bilbao) se ha centrado en las variables más trascendentales que determinan el consumo del pago por visión. Ocupan un lugar destacado en este análisis las relaciones entre el uso de nuevas tecnologías (ordenadores e Internet) y el consumo de pago por visión.Digital television was responsible for the introduction in Spain of pay per view TV via satellite platforms in 1997. This article, based on the results of a survey taken of 206 satellite digital TV viewers in five different Spanish cities (Madrid, Barcelona, Sevilla, Valladolid, and Bilbao) focuses on the most important factors which affect the viewing of pay per view programs. The relationship between using computers and the Internet and the viewing of pay-per-view TV is given special emphasis in this analysis

Safety and efficacy of colistin versus meropenem in the empirical treatment of ventilator-associated pneumonia as part of a macro-project funded by the Seventh Framework Program of the European Commission studying off-patent antibiotics. study protocol for a randomized controlled trial

Background: Ventilator-associated pneumonia (VAP) is one of the most common and severe hospital-adquired infections, and multidrugresistant gram-negative bacilli (MDR-GNB) constitute the main etiology in many countries. Inappropriate empiric antimicrobial treatment is associated with increased mortality. In this context, the empirical treatment of choice for VAP is unknown. Colistin, is now the antimicrobial with greatest in vitro activity against MDR-GNB. Methods/Design: The MagicBullet clinical trial is an investigator-driven clinical study, funded by the Seventh Framework Program of the European Commission. This is designed as a phase IV, randomized, controlled, open label, non-inferiority and international trial to assess the safety and efficacy of colistin versus meropenem in late onset VAP. The study is conducted in a total of 32 centers in three European countries (Spain, Italy and Greece) with specific high incidences of infections caused by MDR-GNB. Patients older than 18 years who develop VAP with both clinical and radiological signs, and are on mechanical ventilation for more than 96 hours, or less than 96 hours but with previous antibiotic treatment plus one week of hospitalization, are candidates for inclusion in the study. A total sample size of 496 patients will be randomized according to a severity clinical score (at the time of VAP diagnosis in a 1:1 ratio to receive either colistin 4.5 MU as a loading dose, followed by 3 MU every eight hours (experimental arm), or meropenem 2 g every eight hours (control arm), both combined with levofloxacin. Mortality from any cause at 28 days will be considered as the main outcome. Clinical and microbiological cure will be evaluated at 72 hours, eight days, the finalization of antibiotic treatment, and 28 days of follow-up. The efficacy evaluation will be performed in every patient who receives at least one study treatment drug, and with etiologic diagnosis of VAP, intention-to-treat population and per protocol analysis will be performed

Today's problems with the evaluation methods of full lightning impulse parameters as described in IEC 60060-1

In this paper the present problems with the evaluation methods for lightning impulse parameters, as defined in IEC 60060-1, are described. Also the current practice of evaluation in many laboratories world-wide, that is obtained by a questionnaire, is presented. Some of the work performed up the present time and the initial conclusions are reported, then some recommendations are made for future work

European intensive care physicians’ experience of infections due to antibiotic-resistant bacteria

Background Antimicrobial resistance (AMR) compromises the treatment of patients with serious infections in intensive care units (ICUs), and intensive care physicians are increasingly facing patients with bacterial infections with limited or no adequate therapeutic options. A survey was conducted to assess the intensive care physicians' perception of the AMR situation in the European Union/European Economic Area (EU/EEA). Methods Between May and July 2017, physicians working in European ICUs were invited to complete an online questionnaire hosted by the European Society of Intensive Care Medicine. The survey included 20 questions on hospital and ICU characteristics, frequency of infections with multidrug-resistant (MDR) bacteria and relevance of AMR in the respondent's ICU, management of antimicrobial treatment as well as the use of last-line antibiotics in the six months preceding the survey. For the analysis of regional differences, EU/EEA countries were grouped into the four sub-regions of Eastern, Northern, Southern and Western Europe. Results Overall, 1062 responses from four European sub-regions were analysed. Infections with MDR bacteria in their ICU were rated as a major problem by 257 (24.2%), moderate problem by 360 (33.9%) and minor problem by 391 (36.8%) respondents. Third-generation cephalosporin-resistant Enterobacteriaceae were the most frequently encountered MDR bacteria followed by, in order of decreasing frequency, meticillin-resistant Staphylococcus aureus, carbapenem-resistant Enterobacteriaceae, carbapenem-resistant Pseudomonas aeruginosa and vancomycin-resistant enterococci. Perception of the relevance of the AMR problem and the frequency of specific MDR bacteria varied by European sub-region. Bacteria resistant to all or almost all available antibiotics were encountered by 132 (12.4%) respondents. Many physicians reported not having access to specific last-line antibiotics. Conclusions The percentage of European ICU physicians perceiving AMR as a substantial problem in their ICU is high with variation by sub-region in line with epidemiological studies. The reports of bacteria resistant to almost all available antibiotics and the limited availability of last-line antibiotics in ICUs in the EU/EEA are of concern

A Mechanized Semantic Framework for Real-Time Systems

International audienceConcurrent systems consist of many components which may execute in parallel and are complex to design, to analyze, to verify, and to implement. The complexity increases if the systems have real-time constraints, which are very useful in avionic, spatial and other kind of embedded applications. In this paper we present a logical framework for defining and validating real-time formalisms as well as reasoning methods over them. For this purpose, we have implemented in the Coq proof assistant well known semantic domains for real-time systems based on labelled transitions systems and timed runs. We experiment our framework by considering the real-time CSP-based language fiacre, which has been defined as a pivot formalism for modeling languages (aadl, sdl, ...) used in the TOPCASED project. Thus, we define an extension to the formal semantic models mentioned above that facilitates the modeling of fine-grained time constraints of fiacre. Finally, we implement this extension in our framework and provide a proof method environment to deal with real-time system in order to achieve their formal certification