Nostalgic representation of reality in television fiction: an empirical study based on the analysis of the Spanish television series Cuéntame cómo pasó

The Spanish transition from dictatorship to democracy is often described as an example of negotiation or agreement between the elites (Sánchez Cuenca and Aguilar, 2009: 433). Journalistic and political elites, aware of their important historical role, agreed a consensus on certain issues (democracy, constitution, amnesty) or characters (King Juan Carlos I), in order to ensure the stability of the democratic process (Zugasti, 2007, 2008). Television, which articulates the discourse of the masses, has been one of the basic means used to illustrate the development. Among the highlights of recent major audiovisual content, Cuéntame cómo pasó (2001-present) -a TV-series designed to explain changes with a nostalgic tone in Spanish society since 1968 until today- stands out. By choosing a random sample of episodes for this research we propose to verify the validity of the representation of the political process which contextualizes the series. By analyzing many elements, such as the opinions of the main characters, their personal, political and geographical situations, we try to show the construction of a focal point that sanctifies the official version. We also stress the pacifying and nostalgic tone, which constructs stereotypes and taboos about the process and which characterizes this series as a symbolic culmination of the democratization undertaken by the elites.

Factores asociados a la predisposición a vacunarse contra la gripe pandémica A/H1N1 en población adulta del Departamento de Salud de Elche (España): influencia de las fuentes de información

Fundamento. Evaluar en población general las fuentes de información, actitudes y predisposición hacia la vacunación contra la gripe pandémica A/H1N1 de 2009. Métodos. Estudio descriptivo de carácter transversal realizado entre el 25 de noviembre y 30 de diciembre de 2009 mediante entrevista personal cara a cara a una muestra aleatoria (826) de adultos residentes en el Departamento de Salud de Elche (España). Resultados. Los encuestados manifestaron que la televisión (57%) y el médico de familia (47,9%) eran su fuente principal de información sobre vacunas. El 82,2% tenía una buena opinión sobre las vacunas, un 30,5% percibía la gripe A/H1N1 como más grave que la estacional, siendo esta percepción creciente entre los de mayor edad y con menos estudios. Un 25,4% de encuestados sentía preocupación por padecerla, sobre todo los de menor nivel educativo. Un 42,1% manifiesta su buena predisposición para vacunarse contra la gripe estacional, disminuyendo hasta un 18,4% la intención hacia la gripe A/H1N1. La predisposición hacia la vacunación crece con la edad y en el caso de la gripe A/H1N1 decrece a mayor nivel educativo. El médico de familia es la fuente de información más determinante para inmunizarse frente a gripe estacional (OR 1,43) y gripe A/H1N1 (OR 2,47). Conclusiones. Existe baja aceptabilidad de la vacuna pandémica y baja percepción de gravedad sobre la gripe A/H1N1. La experiencia previa de vacunación ante gripe estacional predispone hacia la inmunización contra gripe A/H1N1. Aunque los medios de comunicación encabezan la fuente de información más usual durante este episodio, la influencia del médico de familia en la decisión de vacunarse resulta significativa.

Combining visual features and Growing Neural Gas networks for robotic 3D SLAM

The use of 3D data in mobile robotics provides valuable information about the robot’s environment. Traditionally, stereo cameras have been used as a low-cost 3D sensor. However, the lack of precision and texture for some surfaces suggests that the use of other 3D sensors could be more suitable. In this work, we examine the use of two sensors: an infrared SR4000 and a Kinect camera. We use a combination of 3D data obtained by these cameras, along with features obtained from 2D images acquired from these cameras, using a Growing Neural Gas (GNG) network applied to the 3D data. The goal is to obtain a robust egomotion technique. The GNG network is used to reduce the camera error. To calculate the egomotion, we test two methods for 3D registration. One is based on an iterative closest points algorithm, and the other employs random sample consensus. Finally, a simultaneous localization and mapping method is applied to the complete sequence to reduce the global error. The error from each sensor and the mapping results from the proposed method are examined.

Creencias, actitudes e influencia de los medios de comunicación en trabajadores sanitarios españoles durante la gripe pandémica A (H1N1) 2009

Introducción: Considerado como grupo de riesgo específico en la estrategia de inmunización contra la gripe A (H1N1), el colectivo de trabajadores sanitarios ha sido objeto de este estudio desde la perspectiva de sus actitudes y creencias hacia la inmunización, con especial énfasis en la influencia de las fuentes de información para tomar la decisión de vacunarse. Métodos: Estudio observacional de carácter transversal dirigido a trabajadores sanitarios en activo de la provincia de Alicante y realizado mediante cuestionario cara a cara a una muestra aleatoria por cuotas según categoría profesional en trabajadores de hospitales y centros de salud. Resultados: Las fuentes de información difieren entre subgrupos: los médicos utilizaron revistas científicas y/o congresos, las enfermeras la obtuvieron a través de Sanidad y otras enfermeras, el resto de trabajadores optaron por la televisión y/o el médico de familia. De los 3 colectivos estudiados, los médicos son los que menos sensación de gravedad han percibido frente a la gripe A (H1N1) (59,4%), son los que más confían en la vacuna (42,3%), los que más la recomiendan (44,4%), los que mejor han seguido las recomendaciones para evitar el contagio (93%) y los más vacunados (18,3%). El 75,5% de los sanitarios valoró la información recibida como regular, mala o muy mala. La totalidad admitió que se creó alarma social. Discusión: El éxito de futuras campañas de inmunización contra la gripe en personal sanitario podría incrementarse si fueran diseñadas actividades informativas segmentadas y orientadas a cada subgrupo del colectivo, adecuando la estrategia y mejorando la calidad de la información.

Hábitos alimenticios en alumnos y trabajadores de la Universidad Miguel Hernández

Objetivo: Describir los hábitos alimenticios de una comunidad universitaria. Material y métodos: Se llevó a cabo un estudio descriptivo transversal. El instrumento utilizado fue un cuestionario de frecuencias de consumo, administrado por entrevista personal a una muestra accidental de 147 personas. Constaba de cuatro secciones: 1) número de comidas y lugar donde se realizan, 2) patrones de consumo de los distintos grupos de alimentos, 3) modos de preparación de los alimentos, 4) datos de identificación y demográficos. Resultados: En comparación con el patrón de Vivanco y Palacios, nuestra muestra se caracteriza por: alto consumo de carnes (4 veces/semana), disminución del consumo de huevos (2v/sem.), incremento del consumo de hidratos de carbono complejos (5v/sem.), consumo ligeramente inferior de frutas (5v/sem.), ingesta insuficiente de verduras (4v/sem), legumbres (2v/sem) y pescados (2,5v/sem). Conclusiones y Recomendaciones: Atendiendo a los estudios referenciados, es conveniente disminuir el consumo de carnes, aumentando los aportes de pescados, verduras, hortalizas y legumbres, alimentos que, habiendo sido habituales en nuestra dieta mediterránea, parecen haber sido abandonados en beneficio de la conformación de una dieta que tiende a la homogeneización cultural.

Three-dimensional planar model estimation using multi-constraint knowledge based on k-means and RANSAC

Plane model extraction from three-dimensional point clouds is a necessary step in many different applications such as planar object reconstruction, indoor mapping and indoor localization. Different RANdom SAmple Consensus (RANSAC)-based methods have been proposed for this purpose in recent years. In this study, we propose a novel method-based on RANSAC called Multiplane Model Estimation, which can estimate multiple plane models simultaneously from a noisy point cloud using the knowledge extracted from a scene (or an object) in order to reconstruct it accurately. This method comprises two steps: first, it clusters the data into planar faces that preserve some constraints defined by knowledge related to the object (e.g., the angles between faces); and second, the models of the planes are estimated based on these data using a novel multi-constraint RANSAC. We performed experiments in the clustering and RANSAC stages, which showed that the proposed method performed better than state-of-the-art methods.

Aceptabilidad de la vacuna contra el virus del papiloma humano en madres de la provincia de Valencia (España)

Introducción: La Comunidad Valenciana inició en octubre del 2008 el programa de vacunación contra el virus del papiloma humano (VPH) en niñas de 14 años. El objetivo de este estudio es evaluar los conocimientos sobre la infección por VPH y su vacuna en madres de adolescentes e identificar los factores asociados a la predisposición de vacunar a sus hijas. Material y métodos: Estudio observacional transversal mediante cuestionario dirigido a madres de alumnas nacidas en 1995 matriculadas en centros de secundaria de la provincia de Valencia durante 2010-2011. Muestra aleatoria estratificada por conglomerados (n = 1.279). Análisis estadístico: porcentajes, intervalos de confianza, OR, contrastes chi al cuadrado y regresión logística multivariante. Resultados: Ochocientos treinta y tres cuestionarios completados (65,1%). El 76,6% de las madres habían vacunado a sus hijas contra el VPH. El 93,8% conocía la vacuna, sobre todo a través de la televisión (71,5%). El 78,5% recibió consejo favorable de un profesional sanitario, lo que mejoró la vacunación de sus hijas (OR: 2,4). Los conocimientos globales sobre la infección por VPH y la vacuna fueron bajos. La confianza de las madres en las vacunas como método preventivo mejora la vacunación contra VPH (OR: 3,8). El miedo a los efectos adversos (45,6%) fue el primer motivo de rechazo. Conclusiones: No parece que los medios de comunicación influyan en la decisión de vacunar. Sería conveniente minimizar la percepción de riesgo ante esta vacuna. El consejo del profesional sanitario actúa a favor de la vacunación si este interviene activamente en sentido positivo. Existe una brecha entre nivel de conocimientos y toma de decisión para vacunar.

Differences between groups of family physicians with different attitudes towards at-risk drinkers : a post hoc study of the ODHIN survey in Portugal

Copyright © 2016 Frederico Rosário et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

The Reallocation of Agricultural Labour across Sectors: An Empirical Strategy for Micro Data. Factor Markets Working Document No. 45, May 2013

This paper presents an empirical methodology for studying the reallocation of agricultural labour across sectors from micro data. Whereas different approaches have been employed in the literature to better understand the mobility of labour, looking at the determinants to exit farm employment and enter off-farm activities, the initial decision of individuals to work in agriculture, as opposed to other sectors, has often been neglected. The proposed methodology controls for the selectivity bias, which may arise in the presence of a non-random sample of the population, in this context those in agricultural employment, which would lead to biased and inconsistent estimates. A 3-step multivariate probit with two selection and one outcome equations constitutes the selected empirical approach to explore the determinants of farm labour to exit agriculture and switch occupational sector. The model can be used to take into account the different market and production structures across European member states on the allocation of agricultural labour and its adjustments.

Prevalence of secondhand smoke exposure in asthmatic children at home and in the car: A cross-sectional study

OBJECTIVE: To compare secondhand smoke exposure (SHSe) prevalence at home and inside the car between asthmatic and non-asthmatic Portuguese children. MATERIALS AND METHODS: This is a cross-sectional study that assessed children's SHSe in a representative sample of nine Portuguese cities. A validated self-reported questionnaire was administered to a random sample of 4th grade students during the school year of 2010/2011. The asthma prevalence was defined by the answers to three questions regarding asthma symptoms, medication and inhaler use. We performed chi-square tests and analysed frequencies, contingency tables, confidence intervals, and odd-ratios. RESULTS: The self-reported questionnaire was administered to 3187 students. Asthma prevalence was 14.8% (472 students). Results showed that 32.3% of non-asthmatic children and 32.4% of asthmatic children were exposed to secondhand smoke as at least one of their household members smoked at home. The prevalence of parental smoking, smoking among fathers and smoking among mothers at home was also similar in both groups (asthmatic and non-asthmatic children). SHSe inside the car was 18.6% among non-asthmatic children and 17.9% among asthmatic children. CONCLUSIONS: Asthmatic and non-asthmatic children were equally exposed to secondhand smoke, because no significant differences were found between the two groups concerning the prevalence of SHSe at home and inside the car. These findings highlight the need to include SHSe brief advice in paediatric asthma management.

MOREMATA: Stata module (Mata) to provide various functions

This package includes various Mata functions. kern(): various kernel functions; kint(): kernel integral functions; kdel0(): canonical bandwidth of kernel; quantile(): quantile function; median(): median; iqrange(): inter-quartile range; ecdf(): cumulative distribution function; relrank(): grade transformation; ranks(): ranks/cumulative frequencies; freq(): compute frequency counts; histogram(): produce histogram data; mgof(): multinomial goodness-of-fit tests; collapse(): summary statistics by subgroups; _collapse(): summary statistics by subgroups; gini(): Gini coefficient; sample(): draw random sample; srswr(): SRS with replacement; srswor(): SRS without replacement; upswr(): UPS with replacement; upswor(): UPS without replacement; bs(): bootstrap estimation; bs2(): bootstrap estimation; bs_report(): report bootstrap results; jk(): jackknife estimation; jk_report(): report jackknife results; subset(): obtain subsets, one at a time; composition(): obtain compositions, one by one; ncompositions(): determine number of compositions; partition(): obtain partitions, one at a time; npartitionss(): determine number of partitions; rsubset(): draw random subset; rcomposition(): draw random composition; colvar(): variance, by column; meancolvar(): mean and variance, by column; variance0(): population variance; meanvariance0(): mean and population variance; mse(): mean squared error; colmse(): mean squared error, by column; sse(): sum of squared errors; colsse(): sum of squared errors, by column; benford(): Benford distribution; cauchy(): cumulative Cauchy-Lorentz dist.; cauchyden(): Cauchy-Lorentz density; cauchytail(): reverse cumulative Cauchy-Lorentz; invcauchy(): inverse cumulative Cauchy-Lorentz; rbinomial(): generate binomial random numbers; cebinomial(): cond. expect. of binomial r.v.; root(): Brent's univariate zero finder; nrroot(): Newton-Raphson zero finder; finvert(): univariate function inverter; integrate_sr(): univariate function integration (Simpson's rule); integrate_38(): univariate function integration (Simpson's 3/8 rule); ipolate(): linear interpolation; polint(): polynomial inter-/extrapolation; plot(): Draw twoway plot; _plot(): Draw twoway plot; panels(): identify nested panel structure; _panels(): identify panel sizes; npanels(): identify number of panels; nunique(): count number of distinct values; nuniqrows(): count number of unique rows; isconstant(): whether matrix is constant; nobs(): number of observations; colrunsum(): running sum of each column; linbin(): linear binning; fastlinbin(): fast linear binning; exactbin(): exact binning; makegrid(): equally spaced grid points; cut(): categorize data vector; posof(): find element in vector; which(): positions of nonzero elements; locate(): search an ordered vector; hunt(): consecutive search; cond(): matrix conditional operator; expand(): duplicate single rows/columns; _expand(): duplicate rows/columns in place; repeat(): duplicate contents as a whole; _repeat(): duplicate contents in place; unorder2(): stable version of unorder(); jumble2(): stable version of jumble(); _jumble2(): stable version of _jumble(); pieces(): break string into pieces; npieces(): count number of pieces; _npieces(): count number of pieces; invtokens(): reverse of tokens(); realofstr(): convert string into real; strexpand(): expand string argument; matlist(): display a (real) matrix; insheet(): read spreadsheet file; infile(): read free-format file; outsheet(): write spreadsheet file; callf(): pass optional args to function; callf_setup(): setup for mm_callf().

The Role of women in family transportation behavior : final report /

"This report is based on Teresa Bayes' and Sandra Hough's masters theses ... "--Pref.

Determining the Prevalence and Risk Factors for Depressive Symptoms Among Adults in Nepal: Findings from the Dhulikhel Heart Study

Thesis (Master's)--University of Washington, 2016-06

Evaluation of flood preparedness in public health facilities in Eastern Province, Sri Lanka

Thesis (Master's)--University of Washington, 2016-06

Bariatric surgery in women of child-bearing age, timing between an operation and birth, and associated perinatal complications

Thesis (Master's)--University of Washington, 2016-06