Vocational and occupational counsseling: a strategy of preventive intervention directed to Young men and women from the interior of the province of Buenos Aires

This work belongs to one of the activities that are carried out in the Vocational and Occupational Guidance Center (V.O.G.C.) of the Faculty of Humanities and Educational Sciences at the L.P.N.U. In the year 1994 the Vocational/Occupational Guidance Programme for Municipalities was created, destined for work with adolescents who are attending their last year at secondary schools in the interior of the Province of Buenos Aires . The Programme aims at fostering the development of spaces for reflection related to the educational/working projects of the adolescents who are close to entering university. The proposal is based on the methodology of work groups, in the journeys preoccupations are sheared, the worries and fears experienced by the students are shared with their hosts, possibilities are used as ground for construction, dealing both with aspects of their current situation and their future possibilities. From the analysis of the group productions collected throughout these years, we have developed a student's profile that - although it resembles the one obtained from local adolescents- adds new questions and points of view, thus increasing the complexity of the balance of forces related to the question of having to make a choice.

Vocational and occupational counsseling: a strategy of preventive intervention directed to Young men and women from the interior of the province of Buenos Aires

This work belongs to one of the activities that are carried out in the Vocational and Occupational Guidance Center (V.O.G.C.) of the Faculty of Humanities and Educational Sciences at the L.P.N.U. In the year 1994 the Vocational/Occupational Guidance Programme for Municipalities was created, destined for work with adolescents who are attending their last year at secondary schools in the interior of the Province of Buenos Aires . The Programme aims at fostering the development of spaces for reflection related to the educational/working projects of the adolescents who are close to entering university. The proposal is based on the methodology of work groups, in the journeys preoccupations are sheared, the worries and fears experienced by the students are shared with their hosts, possibilities are used as ground for construction, dealing both with aspects of their current situation and their future possibilities. From the analysis of the group productions collected throughout these years, we have developed a student's profile that - although it resembles the one obtained from local adolescents- adds new questions and points of view, thus increasing the complexity of the balance of forces related to the question of having to make a choice.

Vocational and occupational counsseling: a strategy of preventive intervention directed to Young men and women from the interior of the province of Buenos Aires

This work belongs to one of the activities that are carried out in the Vocational and Occupational Guidance Center (V.O.G.C.) of the Faculty of Humanities and Educational Sciences at the L.P.N.U. In the year 1994 the Vocational/Occupational Guidance Programme for Municipalities was created, destined for work with adolescents who are attending their last year at secondary schools in the interior of the Province of Buenos Aires . The Programme aims at fostering the development of spaces for reflection related to the educational/working projects of the adolescents who are close to entering university. The proposal is based on the methodology of work groups, in the journeys preoccupations are sheared, the worries and fears experienced by the students are shared with their hosts, possibilities are used as ground for construction, dealing both with aspects of their current situation and their future possibilities. From the analysis of the group productions collected throughout these years, we have developed a student's profile that - although it resembles the one obtained from local adolescents- adds new questions and points of view, thus increasing the complexity of the balance of forces related to the question of having to make a choice.

Building the View Graph of a Category by Exploiting Image Realism

We propose a weakly supervised method to arrange images of a given category based on the relative pose between the camera and the object in the scene. Relative poses are points on a sphere centered at the object in a given canonical pose, which we call object viewpoints. Our method builds a graph on this sphere by assigning images with similar viewpoint to the same node and by connecting nodes if they are related by a small rotation. The key idea is to exploit a large unlabeled dataset to validate the likelihood of dominant 3D planes of the object geometry. A number of 3D plane hypotheses are evaluated by applying small 3D rotations to each hypothesis and by measuring how well the deformed images match other images in the dataset. Correct hypotheses will result in deformed images that correspond to plausible views of the object, and thus will likely match well other images in the same category. The identified 3D planes are then used to compute affinities between images related by a change of viewpoint. We then use the affinities to build a view graph via a greedy method and the maximum spanning tree.

An investigation of the performance of a new Mechanical thrombectomy device using Bond Graph modelling: application to the extraction of blood clots in the middle cerebral artery

A number of thrombectomy devices using a variety of methods have now been developed to facilitate clot removal. We present research involving one such experimental device recently developed in the UK, called a ‘GP’ Thrombus Aspiration Device (GPTAD). This device has the potential to bring about the extraction of a thrombus. Although the device is at a relatively early stage of development, the results look encouraging. In this work, we present an analysis and modeling of the GPTAD by means of the bond graph technique; it seems to be a highly effective method of simulating the device under a variety of conditions. Such modeling is useful in optimizing the GPTAD and predicting the result of clot extraction. The aim of this simulation model is to obtain the minimum pressure necessary to extract the clot and to verify that both the pressure and the time required to complete the clot extraction are realistic for use in clinical situations, and are consistent with any experimentally obtained data. We therefore consider aspects of rheology and mechanics in our modeling.

Uniformly Reweighted Belief Propagation: A Factor Graph Approach

Tree-reweighted belief propagation is a message passing method that has certain advantages compared to traditional belief propagation (BP). However, it fails to outperform BP in a consistent manner, does not lend itself well to distributed implementation, and has not been applied to distributions with higher-order interactions. We propose a method called uniformly-reweighted belief propagation that mitigates these drawbacks. After having shown in previous works that this method can substantially outperform BP in distributed inference with pairwise interaction models, in this paper we extend it to higher-order interactions and apply it to LDPC decoding, leading performance gains over BP.

A graph-based approach for latency modeling and optimization in multiview video encoding

We present a novel framework for encoding latency analysis of arbitrary multiview video coding prediction structures. This framework avoids the need to consider an specific encoder architecture for encoding latency analysis by assuming an unlimited processing capacity on the multiview encoder. Under this assumption, only the influence of the prediction structure and the processing times have to be considered, and the encoding latency is solved systematically by means of a graph model. The results obtained with this model are valid for a multiview encoder with sufficient processing capacity and serve as a lower bound otherwise. Furthermore, with the objective of low latency encoder design with low penalty on rate-distortion performance, the graph model allows us to identify the prediction relationships that add higher encoding latency to the encoder. Experimental results for JMVM prediction structures illustrate how low latency prediction structures with a low rate-distortion penalty can be derived in a systematic manner using the new model.

Probabilistic Atlas Based Segmentation Using Affine Moment Descriptors and Graph-Cuts

We show a procedure for constructing a probabilistic atlas based on affine moment descriptors. It uses a normalization procedure over the labeled atlas. The proposed linear registration is defined by closed-form expressions involving only geometric moments. This procedure applies both to atlas construction as atlas-based segmentation. We model the likelihood term for each voxel and each label using parametric or nonparametric distributions and the prior term is determined by applying the vote-rule. The probabilistic atlas is built with the variability of our linear registration. We have two segmentation strategy: a) it applies the proposed affine registration to bring the target image into the coordinate frame of the atlas or b) the probabilistic atlas is non-rigidly aligning with the target image, where the probabilistic atlas is previously aligned to the target image with our affine registration. Finally, we adopt a graph cut - Bayesian framework for implementing the atlas-based segmentation.

Conditional parallelization of nonStrict independence. Procedures and assessmen

This paper presents a conditional parallelization process for and-parallelism based on the notion of non-strict independence, a more relaxed notion than the traditional of strict independence. By using this notion, a parallelism annotator can extract more parallelism from programs. On the other hand, the intrinsic complexity of non-strict independence poses new challenges to this task. We report here on the implementation we have accomplished of an annotator for non-strict independence, capable of producing both static and dynamic execution graphs. This implementation, along with the also implemented independence checker and their integration in our system, have resulted what is, to the best of our knowledge, the first parallelizing compiler based on nonstrict independence which produces dynamic execution graphs. The paper also presents a preliminary assessment of the implemented tools, comparing them with the existing ones for strict independence, which shows encouraging results.

Graph based study of allergen cross-reactivity of plant lipid transfer proteins (LTPs) using microarray in a multicenter study.

The study of cross-reactivity in allergy is key to both understanding. the allergic response of many patients and providing them with a rational treatment In the present study, protein microarrays and a co-sensitization graph approach were used in conjunction with an allergen microarray immunoassay. This enabled us to include a wide number of proteins and a large number of patients, and to study sensitization profiles among members of the LTP family. Fourteen LTPs from the most frequent plant food-induced allergies in the geographical area studied were printed into a microarray specifically designed for this research. 212 patients with fruit allergy and 117 food-tolerant pollen allergic subjects were recruited from seven regions of Spain with different pollen profiles, and their sera were tested with allergen microarray. This approach has proven itself to be a good tool to study cross-reactivity between members of LTP family, and could become a useful strategy to analyze other families of allergens.

Analysis of behavior directed towards changing the innovation agents. Case study of the Canary Islands

In 2005 the Directorate General for Industrial Development and Technological Innovation of the Canary Islands proceeded to carry out a project to measure the behavioral skills of various government agencies and companies in the Canary Islands in order to prepare a White Paper to assess the most effective measures for the stimulation of innovation in this autonomous community and to facilitate the objectives of public subsidies. This paper shows a portion of the work performed comparing the activity oriented towards innovation and the one aimed at sustaining the status quo of the organizations in the sample.

Segmentation of RV in 4D Cardiac MR Volumes using region-merging graph cuts

Non-invasive quantitative assessment of the right ventricular anatomical and functional parameters is a challenging task. We present a semi-automatic approach for right ventricle (RV) segmentation from 4D MR images in two variants, which differ in the amount of user interaction. The method consists of three main phases: First, foreground and background markers are generated from the user input. Next, an over-segmented region image is obtained applying a watershed transform. Finally, these regions are merged using 4D graph-cuts with an intensity based boundary term. For the first variant the user outlines the inside of the RV wall in a few end-diastole slices, for the second two marker pixels serve as starting point for a statistical atlas application. Results were obtained by blind evaluation on 16 testing 4D MR volumes. They prove our method to be robust against markers location and place it favourably in the ranks of existing approaches.