150 research outputs found

    Relación de factores de personalidad y tipos de afrontamiento en el síndrome de Burnout en dentistas

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    [ES] El Síndrome de Burnout, que afecta de forma significativa a los dentistas, tiene un importante interés debido a las repercusiones físicas y psicológicas que conlleva. Es sabido que existen variables laborales en su aparición y desarrollo, pero también que estas variables no afectan en todas las personas en la misma manera. El objetivo de esta investigación es estudiar cómo se relacionan variables sociodemográficas, laborales, dimensiones de personalidad y estilos de afrontamiento con la aparición del Síndrome de Burnout en los dentistas colegiados españoles (N=1554). A través de los correos electrónicos se distribuyó una encuesta compuesta por factores sociodemográficos, variables laborales, cuestionarios de personalidad y de estilos de afrontamientos y Síndrome de Burnout. Por un lado, los resultados muestran que no hay diferencias estadísticamente significativas entre hombres y mujeres en la presencia de Síndrome de Burnout. También que a menor edad, aparecen puntuaciones significativamente más altas en Cansancio emocional y Despersonalización y puntuaciones significativamente más bajas en Realización personal. La existencia de Síndrome de Burnout está positivamente relacionada con Neuroticismo y Afrontamiento Evitativo y negativamente relacionada con Extroversión y en menor medida con Cordialidad y Responsabilidad. Mediante análisis de cluster, se encontraron tres perfiles de personalidad en los dentistas, denominados: “Introvertidos, neuróticos y amantes de la rutina” (29.0%), “Tranquilos y extrovertidos” (41,5%) y “Neuróticos y curiosos” (29.4%). [EN] Burnout Syndrome, which significantly affects dentists, is of great interest because of the physical and psychological impact it entails. It is known that there are work-related variables linked to its appearance and development, but also that these variables do not affect all people in the same way. The aim of this research is to study how socio-demographic and work-related variables, personality dimensions, and coping strategies are related to the appearance of Burnout Syndrome in Spanish chartered dentists (N=1554). A survey was distributed through their e-mail addresses with questions on socio-demographic factors and work-related variables, as well as questionnaires on personality, coping styles, and Burnout Syndrome. On the one hand, the results showed that there were no statistically significant differences between men and women regarding the presence of Burnout Syndrome. On the other hand, the younger the age, significantly higher scores appeared for Emotional fatigue and Depersonalization, and significantly lower scores were reported for Personal accomplishment. The existence of Burnout Syndrome is positively related to Neuroticism and Avoidant coping, and negatively related to Extroversion and, to a lesser extent, to Friendliness and Responsibility. By means of cluster analysis, three personality profiles were found among the dentists, denominated: "Introverted, neurotic and lovers of routine" (29.0%), "Calm and extroverted" (41.5%) and "Neurotic and curious" (29.4%

    Colour Changes of Acetal Resins (CAD-CAM) In Vivo

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    To quantify the discolouration of the temporary acetal resins in vivo, based on the weeks of follow-up and the salivary pH in the three thirds of the tooth. To find out if the final CIELAB coordinates can be predicted from the initial colour coordinates, the salivary pH, the situation (in thirds) and the weeks of follow-up. Colour coordinates (L, C, and h) were recorded by spectrophotometry in 13 participants fitted with hybrid provisional complete dentures made of acetal resin. Colour recordings were made on the day of placement and after several weeks of follow-up (6 to 31 weeks). Salivary pH was also measured as a predictor variable for colour change. The ANOVA statistical test and regression models have been used. The highest colour difference according to DEab* was 27.46 units after 15 weeks of follow-up and the lowest was 7.34 units after 17 weeks of follow-up. Neither in the cervical nor in the middle third any regressor variable (initial L*, initial C*, initial h*, salivary pH and weeks of follow-up) was able to significantly predict any of the final colour coordinates (p > 0.05). The colour change of the temporary acetal resins used exceeds the threshold of clinical acceptability, and it is not acceptable to maintain satisfactory aesthetics. The weeks of follow-up and the salivary pH are not capable of satisfactorily predicting the final color coordinates of the acetal resins

    Real time updating of the flood frequency distribution through data assimilation

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    We explore the memory properties of catchments for predicting the likelihood of floods basing on observations of average flows in pre-flood seasons. Our approach assumes that flood formation is driven by the superimposition of short and long term perturbations. The former is given by the short term meteorological forcing leading to infiltration and/or saturation excess, while the latter is originated 15 by higher-than-usual storage in the catchment. To exploit the above sensitivity to long term perturbations a Meta-Gaussian model is implemented for updating a season in advance the flood frequency distribution, through a data assimilation approach. Accordingly, the peak flow in the flood season is predicted by exploiting its dependence on the average flow in the antecedent seasons. We focus on the Po River at Pontelagoscuro and the Danube river at Bratislava. We found that the shape of 20 the flood frequency distribution is significantly impacted by higher-than-usual flows occurred up to several months earlier. The proposed technique may allow one to reduce the uncertainty associated to the estimation of flood frequenc

    Long term prediction of flood occurrence

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    How long a river remembers its past is still an open question. Perturbations occurring in large catchments may impact the flow regime for several weeks and months, therefore providing a physical explanation for the occasional tendency of floods to occur in clusters. The research question explored in this paper may be stated as follows: can higher than usual river discharges in the low flow season be associated to a higher probability of floods in the subsequent high flow season? The physical explanation for such association may be related to the presence of higher soil moisture storage at the beginning of the high flow season, which may induce lower infiltration rates and therefore higher river runoff. Another possible explanation is persistence of climate, due to presence of long-term properties in atmospheric circulation. We focus on the Po River at Pontelagoscuro, whose catchment area amounts to 71 000 km2. We look at the stochastic connection between average river flows in the pre-flood season and the peak flows in the flood season by using a bivariate probability distribution. We found that the shape of the flood frequency distribution is significantly impacted by the river flow regime in the low flow season. The proposed technique, which can be classified as a data assimilation approach, may allow one to reduce the uncertainty associated to the estimation of the flood probability

    Magnetic transition in nanocrystalline soft magnetic alloys analyzed via ac inductive techniques

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    The magnetic transition in a FeSiBCuNb nanocrystalline alloy, associated with the decoupling of ferromagnetic crystallites around the Curie point of the residual amorphous matrix, is analyzed in this work through the temperature dependence of the ac axial magnetic permeability and impedance of the samples. The temperature dependence of both complex magnitudes presents a maximum in the irreversible contribution at a certain transition temperature. While for low values of the exciting ac magnetic field the transition temperature lies below the Curie temperature of the amorphous phase, a shift above this Curie point is observed increasing the amplitude of the applied ac magnetic field. The detected field dependence is interpreted taking into account the ac nature of the inductive characterization techniques and the actual temperature dependence of the coercivity of the samples

    Comparison between Snow Albedo Obtained from Landsat TM, ETM+ Imagery and the SPOT VEGETATION Albedo Product in a Mediterranean Mountainous Site

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    Albedo plays an important role in snow evolution modeling quantifying the amount of solar radiation absorbed and reflected by the snowpack, especially in mid-latitude regions with semiarid conditions. Satellite remote sensing is the most extensive technique to determine the variability of snow albedo over medium to large areas; however, scale effects from the pixel size of the sensor source may affect the results of snow models, with different impacts depending on the spatial resolution. This work presents the evaluation of snow albedo values retrieved from (1) Landsat images, L (16-day frequency with 30 30 m pixel size) and (2) SPOT VEGETATION albedo products, SV (10-day frequency with 1 1 km pixel size) in the Sierra Nevada mountain range in South Spain, a Mediterranean site representative of highly heterogeneous conditions. Daily snow albedo map series were derived from both sources, and used as input for the snow module in the WiMMed (Watershed Integrated Management in Mediterranean Environment) hydrological model, which was operational at the study area for snow monitoring for two hydrological years, 2011–2012 and 2012–2013, in the Guadalfeo river basin in Sierra Nevada. The results showed similar albedo trends in both data sources, but with different values, the shift between both sources being distributed in space according to the altitude. This difference resulted in lower snow cover fraction values in the SV-simulations that affected the rest of snow variables included in the simulation. This underestimation, mainly due to the effects of mixed pixels composed by both snow and snow-free areas, produced higher divergences from both sources during the melting periods when the evapo-sublimation and melting fluxes are more relevant. Therefore, the selection of the albedo data source in these areas, where snow evapo-sublimation plays a very important role and the presence of snow-free patches is very frequent, can condition the final accuracy of the simulations of operational models; Landsat is the recommended source if the monitoring of the snowpack is the final goal of the modeling, whereas the SV product may be advantageous when water resource planning in the medium and long term is intended. Applications of large pixel size albedo sources need further assessment for short-term operational objective
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