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.

Accurate integration of forced and damped oscillators

The new methods accurately integrate forced and damped oscillators. A family of analytical functions is introduced known as T-functions which are dependent on three parameters. The solution is expressed as a series of T-functions calculating their coefficients by means of recurrences which involve the perturbation function. In the T-functions series method the perturbation parameter is the factor in the local truncation error. Furthermore, this method is zero-stable and convergent. An application of this method is exposed to resolve a physic IVP, modeled by means of forced and damped oscillators. The good behavior and precision of the methods, is evidenced by contrasting the results with other-reputed algorithms implemented in MAPLE.

Deterministic mathematical morphology for CAD/CAM

Purpose – The purpose of this paper is to present a new geometric model based on the mathematical morphology paradigm, specialized to provide determinism to the classic morphological operations. The determinism is needed to model dynamic processes that require an order of application, as is the case for designing and manufacturing objects in CAD/CAM environments. Design/methodology/approach – The basic trajectory-based operation is the basis of the proposed morphological specialization. This operation allows the definition of morphological operators that obtain sequentially ordered sets of points from the boundary of the target objects, inexistent determinism in the classical morphological paradigm. From this basic operation, the complete set of morphological operators is redefined, incorporating the concept of boundary and determinism: trajectory-based erosion and dilation, and other morphological filtering operations. Findings – This new morphological framework allows the definition of complex three-dimensional objects, providing arithmetical support to generating machining trajectories, one of the most complex problems currently occurring in CAD/CAM. Originality/value – The model proposes the integration of the processes of design and manufacture, so that it avoids the problems of accuracy and integrity that present other classic geometric models that divide these processes in two phases. Furthermore, the morphological operative is based on points sets, so the geometric data structures and the operations are intrinsically simple and efficient. Another important value that no excessive computational resources are needed, because only the points in the boundary are processed.

Discontinuity spacing analysis in rock masses using 3D point clouds

The complete characterization of rock masses implies the acquisition of information of both, the materials which compose the rock mass and the discontinuities which divide the outcrop. Recent advances in the use of remote sensing techniques – such as Light Detection and Ranging (LiDAR) – allow the accurate and dense acquisition of 3D information that can be used for the characterization of discontinuities. This work presents a novel methodology which allows the calculation of the normal spacing of persistent and non-persistent discontinuity sets using 3D point cloud datasets considering the three dimensional relationships between clusters. This approach requires that the 3D dataset has been previously classified. This implies that discontinuity sets are previously extracted, every single point is labeled with its corresponding discontinuity set and every exposed planar surface is analytically calculated. Then, for each discontinuity set the method calculates the normal spacing between an exposed plane and its nearest one considering 3D space relationship. This link between planes is obtained calculating for every point its nearest point member of the same discontinuity set, which provides its nearest plane. This allows calculating the normal spacing for every plane. Finally, the normal spacing is calculated as the mean value of all the normal spacings for each discontinuity set. The methodology is validated through three cases of study using synthetic data and 3D laser scanning datasets. The first case illustrates the fundamentals and the performance of the proposed methodology. The second and the third cases of study correspond to two rock slopes for which datasets were acquired using a 3D laser scanner. The second case study has shown that results obtained from the traditional and the proposed approaches are reasonably similar. Nevertheless, a discrepancy between both approaches has been found when the exposed planes members of a discontinuity set were hard to identify and when the planes pairing was difficult to establish during the fieldwork campaign. The third case study also has evidenced that when the number of identified exposed planes is high, the calculated normal spacing using the proposed approach is minor than those using the traditional approach.