Investigación-acción a través del video participativo. Una experiencia de aprendizaje en san Lorenzo, Castellón, España

The aim of this paper is to analyse a Participatory Action Research (PAR) process undertook as part of a summer school in 2014, in the neighbourhood of San Lorenzo, Castellón–Spain. The methodology of Participatory Video (PV) was used to introduce action learning amongst attending international students; to visualize the work of local practitioners and to enhance the voice of the local community. To carry out the analysis of this experience, an original framework is developed (the ePARC cube). The cube features three axes that represent the dimensions the PV process touches upon: 1. participation, 2. knowledge, and 3. public deliberation. From this three dimensional perspective, we argue that a genuine participatory process raises issues that often cross-cut. We conclude that to take full advantage of the momentum a PV process could reach in a community to affect social change; more engagement from policy makers should be sought.El objetivo de este artículo es analizar una experiencia de investigación-acción participativa (IAP) desarrollada en el año 2014, en el barrio San Lorenzo de Castellón, España dentro del marco de una escuela de verano. El Video Participativo (VP) fue usado para generar aprendizajes entre los y las estudiantes internacionales participantes, así como para visualizar el trabajo social de profesionales locales y amplificar la voz de la comunidad. El artículo presenta un nuevo marco de análisis, el “Cubo ePARC”, para identificar los aprendizajes más relevantes. Los tres ejes del cubo representan las dimensiones en las que consiste el proceso de VP: 1. participación 2. Conocimiento y 3. Deliberación pública. Desde esta perspectiva tridimensional, el artículo sugiere que en un proceso participativo genuino muy frecuentemente estas dimensiones se superponen. El texto concluye que para sacar el máximo provecho del proceso de VP en una comunidad es necesaria la implicación activa de los responsables de políticas públicas en el proceso

El uso de nuevas herramientas gráficas en la intervención patrimonial: la rehabilitación de las antiguas carnicerías reales del siglo XVI de Porcuna (Andalucía).

El proceso de rehabilitación patrimonial se configura en la contemporaneidad como un ejercicio de síntesis en el que se analiza de forma sistemática el proceso constructivo, compositivo, organoléptico, etc. Estos procesos de descomposición no suelen ser evidentes cuando las realidades sobre las que nos toca intervenir son el resultado de continuos procesos de transformación y sedimentación histórica. Para poder acometer cualquier acercamiento a estos elementos o conjuntos necesitamos la ayuda de numerosas herramientas. El resultado es un proyecto contextualizado en forma y discurso, en el que la fotogrametría, la restitución muraria y estructural, la lectura paramental, la investigación bibliográfica existente y el dibujo de elementos conexos e inconexos, junto con estratificación de elementos gráficos arqueológicos, etc. han configurado un ‘unicum’ para determinar una herramienta de intervención, personalizada para esta obra y determinada por los requerimientos de la misma.Present-day heritage restoration entails a process by means of which construction, composition and organization are systematically analysed. Such decomposition processes do not remain evident when the entities to be dealt with are the result of ongoing transformation and historical sedimentation. In order to carry out any approach to any of these alemjents or groups of elements, we are in needd of several tools. There is where theimportance of the graphic tools lies, adding a potential not yet discovered. The result is a contextualised project in both, form and discourse. Photogrammetry, wall and structure restoration, study of the existing bibliography, drawing of related and unrelated elements, 3D volumetry, stratification of archaeological graphic elements, etc, have combined aas a “unicum”to shape a working tool, personalised for this approach and determined by its requirements and needs.Universitat Politècnica de Valènci

Implicit dose-response curves

We develop tools from computational algebraic geometry for the study of steady state features of autonomous polynomial dynamical systems via elimination of variables. In particular, we obtain nontrivial bounds for the steady state concentration of a given species in biochemical reaction networks with mass-action kinetics. This species is understood as the output of the network and we thus bound the maximal response of the system. The improved bounds give smaller starting boxes to launch numerical methods. We apply our results to the sequential enzymatic network studied in Markevich et al. (J Cell Biol 164(3):353–359, 2004) to find nontrivial upper bounds for the different substrate concentrations at steady state. Our approach does not require any simulation, analytical expression to describe the output in terms of the input, or the absence of multistationarity. Instead, we show how to extract information from effectively computable implicit dose-response curves, with the use of resultants and discriminants. We moreover illustrate in the application to an enzymatic network, the relation between the exact implicit dose-response curve we obtain symbolically and the standard hysteresis diagram provided by a numerical ode solver. The setting and tools we propose could yield many other results adapted to any autonomous polynomial dynamical system, beyond those where it is possible to get explicit expressions.Fil: Pérez Millán, Mercedes Soledad. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Matemática; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Dickenstein, Alicia Marcela. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigaciones Matemáticas "Luis A. Santaló". Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Matemáticas "Luis A. Santaló"; Argentin

A Comparison of Agricultural Productivity in the European Union Regions

This paper is concerned with the estimation of productivity and technical progress based on DEA applied to complete panel data (intertemporal-DEA). Instead of assuming unchanged technology, this paper presents a formulation of technical change that allows the decomposition of productivity scores obtained using intertemporal-DEA. The assumption here is that the technology level in period t for each country is the maximum productivity index obtained until this period. The model assumes that improvements over earlier productivity levels are due to technical progress and that productivity scores below the earlier maximum productivity level are due to inefficiency. The methodology is applied to the analysis of agricultural productivity in the European Union regions in the 1985-97 period. The major source of data is Cronos in Eurostat. This database is used to obtain the disaggregated outputs, intermediate inputs, and depreciation, in current and constant 1990 prices, and labor in annual work units. Capital is measured by depreciation. Land is agricultural area in hectares. Outputs are aggregated in two categories: crops and animal products. Intermediate inputs are grouped into two major categories: feedstuffs and other materials. Aggregation uses national price indices and regional production structures, using the translog price formula. All output, intermediate input and depreciation data, originally reported in local currencies was converted into ECUs, using the 1990 exchange rates. The discriminatory power of the analysis is higher than those with only contemporary analysis of technical efficiency, giving less than 10% of observations in the reference set. Further discrimination is explored using super-efficiency analysis. Radial efficiency measures give only a particular form of inefficiency that can be explained by a proportional contraction in input usage. The paper studies particular output and input efficiencies. As examples, animal products inefficiency is usual only in southern regions. Inefficiency in intermediate consumption usage is pervasive, suggesting the possibility of reducing agricultural production costs. Labor and capital inefficiencies arise in different regions. Land slacks are common in the southern and the westernmost regions.

Knowledge representation issues in control knowledge learning

Seventeenth International Conference on Machine Learning. Stanford, CA, USA, 29 June-2 July, 2000Knowledge representation is a key issue for any machine learning task. There have already been many comparative studies about knowledge representation with respect to machine learning in classication tasks. However, apart from some work done on reinforcement learning techniques in relation to state representation, very few studies have concentrated on the eect of knowledge representation for machine learning applied to problem solving, and more specically, to planning. In this paper, we present an experimental comparative study of the eect of changing the input representation of planning domain knowledge on control knowledge learning. We show results in two classical domains using three dierent machine learning systems, that have previously shown their eectiveness on learning planning control knowledge: a pure ebl mechanism, a combination of ebl and induction (hamlet), and a Genetic Programming based system (evock).Publicad