Cooking and Active Leisure TAS Program, Spain: A Program Impact Pathways (PIP) analysis

Background. The ���Cooking and Active Leisure��� Tu y Al��cia por la Salud (CAL-TAS) Program is a schoolbased pilot that addresses healthy lifestyle needs of Spanish secondary school students with initiatives that research has proven to improve dietary and physical activity behaviors. Objective. The objectives were to perform a Program Impact Pathways (PIP) analysis to describe key activities and processes of the CAL-TAS Program, identify Critical Quality Control Points (CCPs), and identify a suite of common indicators of healthy lifestyles to be applied across participant schools. Methods. The CAL-TAS Program designers and implementation team developed this PIP analysis through an iterative process and presented the results for feedback at the seven-country Healthy Lifestyles Program Evaluation Workshop held in Granada, Spain, 13���14 September 2013, under the auspices of the Mondel��z International Foundation. Results. The team identified three PIP CCPs: teachers��� motivation and training, changes in students��� knowledge of healthy lifestyles, and changes in students��� healthy lifestyle behavior. The selected indicators of the program���s impact on healthy lifestyles are adequacy of food intake, level of knowledge of healthy lifestyles gained, and adequacy of physical activity level according to World Health Organization recommendations. A clear definition of impact indicators, as well as collection of accurate data on healthy lifestyle behaviors and knowledge, is essential to understanding the effectiveness of this program before it can be scaled up. Conclusions. CAL-TAS is an effective secondary school-based program encouraging healthy lifestyles. The PIP analysis was instrumental in identifying CCPs to sustain and improve the quality of the program. The team hopes to sustain and improve the program through these program evaluation recommendations.

Eliciting and fostering learners' metacognitive knowledge about language learning in self-directed learning programs: a review of data collection methods and procedures

S��n molts els estudis que avui en dia incideixen en la necessitat d���oferir un suport metodol��gic i psicol��gic als aprenents que treballen de manera aut��noma. L���objectiu d���aquest suport ��s ajudar-los a desenvolupar les destreses que necessiten per dirigir el seu aprenentatge aix�� com una actitud positiva i una major conscienciaci�� envers aquest aprenentatge. En definitiva, aquests dos tipus de preparaci�� es consideren essencials per ajudar els aprenents a esdevenir m��s aut��noms i m��s eficients en el seu propi aprenentatge. Malgrat aix��, si b�� ��s freq��ent trobar estudis que exemplifiquen aplicacions del suport metodol��gic dins els seus programes, principalment en la formaci�� d���estrat��gies o ajudant els aprenents a desenvolupar un pla de treball, aquest no ��s el cas quan es tracta de la seva preparaci�� psicol��gica. Amb rares excepcions, trobem estudis que documentin com s���incideix en les actituds i en les creences dels aprenents, tamb�� coneguts com a coneixement metacognitiu (CM), en programes que fomenten l���autonomia en l���aprenentatge. Els objectius d���aquest treball son dos: a) oferir una revisi�� d���estudis que han utilitzat diferents mitjans per incidir en el CM dels aprenents i b) descriure les febleses i avantatges dels procediments i instruments que utilitzen, tal com han estat valorats en estudis de recerca, ja que ens permetr�� establir criteris objectius sobre com i quan utilitzar-los en programes que fomentin l���aprenentatge autodirigit.

Aplicaciones Single Program Multiple Data (SPMD) en ambientes distribuidos

Un reto al ejecutar las aplicaciones en un cluster es lograr mejorar las prestaciones utilizando los recursos de manera eficiente, y este reto es mayor al utilizar un ambiente distribuido. Teniendo en cuenta este reto, se proponen un conjunto de reglas para realizar el c��mputo en cada uno de los nodos, basado en el an��lisis de c��mputo y comunicaciones de las aplicaciones, se analiza un esquema de mapping de celdas y un m��todo para planificar el orden de ejecuci��n, tomando en consideraci��n la ejecuci��n por prioridad, donde las celdas de fronteras tienen una mayor prioridad con respecto a las celdas internas. En la experimentaci��n se muestra el solapamiento del computo interno con las comunicaciones de las celdas fronteras, obteniendo resultados donde el Speedup aumenta y los niveles de eficiencia se mantienen por encima de un 85%, finalmente se obtiene ganancias de los tiempos de ejecuci��n, concluyendo que si se puede dise��ar un esquemas de solapamiento que permita que la ejecuci��n de las aplicaciones SPMD en un cluster se hagan de forma eficiente.

The Electoral Determinants of Collective Remittances: The Mexican 3x1 Program for Migrants

The 3x1 Program for Migrants is a matching grant scheme that seeks to direct the money sent by migrant organizations abroad to the provision of public and social infrastructure, and to productive projects in migrants��� communities of origin. To do so, the municipal, state, and federal administrations match the amount sent by hometown associations by 3 to 1. This opens the door to the political manipulation of the program. We explore the impact of a particular facet of Mexican political life on the operation of the 3x1: its recent democratization and the increasing political competition at the municipal level. Relying on the literature on redistributive politics, we posit that an increasing number of effective parties in elections may have two different effects. On the one hand, the need to cater to more heterogeneous constituencies may increase the provision of public projects. On the other hand, since smaller coalitions are needed to win elections under tighter competition, fewer public and more private (clientelistic) projects could be awarded. Using a unique dataset on the 3x1 Program for Migrants for over 2,400 municipalities in the period 2002 through 2007, we find a lower provision of public goods in electorally competitive jurisdictions. Thus, we remain sceptical about the program success in promoting public goods in politically competitive locations with high migration levels.

CAT (Curator Archiving Tool): improving access to web archives

PADICAT is the web archive created in 2005 in Catalonia (Spain ) by the Library of Catalonia (BC ) , the National Library of Catalonia , with the aim of collecting , processing and providing permanent access to the digital heritage of Catalonia . Its harvesting strategy is based on the hybrid model ( of massive harvesting . SPA top level domain ; selective compilation of the web site output of Catalan organizations; focused harvesting of public events) . The system provides open access to the whole collection , on the Internet . We consider necessary to complement the current search for new and visualization software with open source software tool, CAT ( Curator Archiving Tool) , composed by three modules aimed to effectively managing the processes of human cataloguing ; to publish directories where the digital resources and special collections ; and to offer statistical information of added value to end users. Within the framework of the International Internet Preservation Consortium meeting ( Vienna 2010) , the progress in the development of this new tool, and the philosophy that has motivated his design, are presented to the international community.

Effects of increased drought and selective thinning on growth and resprouting of two coexisting Mediterranean oaks with contrasting leaf habit (Quercus ilex and Quercus cerrioides)

According to the IPCC (2007), the Mediterranean basin is expected to suffer important changes in temperature and precipitation in the next few decades, leading the climate warmer and dryer. Therefore, it is necessary to determine the possible effects of increased drought on species with different structural and physiological traits, to be able to predict possible changes in the structure and composition of Mediterranean forests. Moreover, it will be necessary to assess whether traditional management practices can mitigate the effects of climate change on these forests. The main aim of this study has been to analyze the effects of increased drought on the mortality, growth and resprouting patterns of two co-occurring Mediterranean oak species with contrasting leaf habit (the evergreen Quercus ilex and the winter-deciduous Quercus cerrioides), and to assess the effects of selective thinning on their response to increased drought. Our results show a differential effect of increased drought between species: no differences were observed in the growth of Q. ilex while Q. cerrioides reduced its growth under increased drought conditions. Selective thinning reduced the negative effects of increased drought on tree growth, although this beneficial effect tended to decrease during the experiment. Our results show that increasing aridity in Mediterranean areas can be a constraining factor for deciduous oaks, thus potentially causing their decline in mixed forests and favouring their substitution by the evergreen congeneric species. However, as seen in this study, management can strongly encourage growth both for deciduous and evergreen species, thus reversing the effects of increased water stress on Mediterranean coppices.

Including the workload effect in the parallel program signature

Performance prediction and application behavior modeling have been the subject of exten- sive research that aim to estimate applications performance with an acceptable precision. A novel approach to predict the performance of parallel applications is based in the con- cept of Parallel Application Signatures that consists in extract an application most relevant parts (phases) and the number of times they repeat (weights). Executing these phases in a target machine and multiplying its exeuction time by its weight an estimation of the application total execution time can be made. One of the problems is that the performance of an application depends on the program workload. Every type of workload affects differently how an application performs in a given system and so affects the signature execution time. Since the workloads used in most scientific parallel applications have dimensions and data ranges well known and the behavior of these applications are mostly deterministic, a model of how the programs workload affect its performance can be obtained. We create a new methodology to model how a program���s workload affect the parallel application signature. Using regression analysis we are able to generalize each phase time execution and weight function to predict an application performance in a target system for any type of workload within predefined range. We validate our methodology using a synthetic program, benchmarks applications and well known real scientific applications.

Art painting Data Collection

The classification of Art painting images is a computer vision applications that isgrowing considerably. The goal of this technology, is to classify an art paintingimage automatically, in terms of artistic style, technique used, or its author. For thispurpose, the image is analyzed extracting some visual features. Many articlesrelated with these problems have been issued, but in general the proposed solutionsare focused in a very specific field. In particular, algorithms are tested using imagesat different resolutions, acquired under different illumination conditions. Thatmakes complicate the performance comparison of the different methods. In thiscontext, it will be very interesting to construct a public art image database, in orderto compare all the existing algorithms under the same conditions. This paperpresents a large art image database, with their corresponding labels according to thefollowing characteristics: title, author, style and technique. Furthermore, a tool thatmanages this database have been developed, and it can be used to extract differentvisual features for any selected image. This data can be exported to a file in CSVformat, allowing researchers to analyze the data with other tools. During the datacollection, the tool stores the elapsed time in the calculation. Thus, this tool alsoallows to compare the efficiency, in computation time, of different mathematicalprocedures for extracting image data.