FORTELE : Formación telemática en la enseñanza del español como lengua extranjera.

El proyecto FORTELE pretende, mediante la cooperación de diversas instituciones del ámbito educativo y sociocultural de la Región de Murcia, poner al servicio de la comunidad educativa un 'lugar de encuentro' donde formarse e intercambiar experiencias en torno a la enseñanza del español como segunda lengua. En el CD se encuentran los documentos de los dos niveles (inicial y avanzado) del curso formativo, en formato pdf, compuestos por ocho módulos cada uno además de un enlace externo a una web formativa desde la que realizar la formación on line dirigida a profesores de primaria y secundaria (de lengua y literatura y de aulas de acogida) y a aquellos otros ya formados en los primeros dos niveles de esta especialización.

Una pedanía de Lorca.

Se trata de una propuesta de programación dirigida a alumnos de sexto, séptimo y octavo de EGB en la que se plantean una serie de actividades en torno a los siguientes ejes: relieve, clima, agricultura, ganadería, flora, fauna y fiestas populares de la pedanía de Nogalte. En este documento se realiza un breve análisis y estudio de la pedanía de Nogalte en aquellos aspectos más significativos para que los alumnos comprendan y recreen las costumbres y formas de vida de su tierra. La principal fuente que ha surtido de datos este trabajo ha sido la transmisión oral de los mayores de la zona.

60 actividades para ciencias experimentales.

Este trabajo intenta desarrollar un currículum básico que abarque las Ciencias Naturales en el actual ciclo superior de EGB. El grupo de trabajo Alcatara elabora un programa global de Ciencias para este ciclo, dividiéndose en los siguientes temas: Ciencias de la Naturaleza, Física y Química. En este cuaderno aparecen 60 actividades relativas a los bloques temáticos: agua, aire y reacciones químicas. El objetivo principal de este cuaderno es facilitar la labor del profesorado y contribuir a la mejora de las aptitudes científicas de nuestros alumnos.

Fondos de educación del Instituto Alfonso X.

Los textos que acompañan al catálogo son de: Juan Ramón Medina Precioso, Carlos Collado Mena, Juan Manuel Quiñonero Cervantes, José Abelardo Vidal de Labra y Julia Muñoz Ripoll

Recorrido histórico-docente por el gabinete de Física del antiguo Instituto Provincial de 2 [segunda] Enseñanza de Murcia.

Primer premio de la segunda edición de Premios a la Elaboración de Materiales de Estudio sobre la Región de Murcia.

El Museo de Física y su contexto histórico-docente.

Sobre esta institución se han realizado varios trabajos que se inician con el de Verdú-Payá (1958) y Hernandez Pina (1978-1983), continúan con la celebración de los 150 años de la fundación del Instituto en 1987 y la publicación conmemorativa dirigida por Jiménez Madrid, además de las del autor de esta obra, Vidal de Labra, y las de López Fernández y colaboradores.

Social network measures for "nosduocentered" networks, their predictive power on performance

Our purpose in this article is to define a network structure which is based on two egos instead of the egocentered (one ego) or the complete network (n egos). We describe the characteristics and properties for this kind of network which we call “nosduocentered network”, comparing it with complete and egocentered networks. The key point for this kind of network is that relations exist between the two main egos and all alters, but relations among others are not observed. After that, we use new social network measures adapted to the nosduocentered network, some of which are based on measures for complete networks such as degree, betweenness, closeness centrality or density, while some others are tailormade for nosduocentered networks. We specify three regression models to predict research performance of PhD students based on these social network measures for different networks such as advice, collaboration, emotional support and trust. Data used are from Slovenian PhD students and their s

Novetats Editorial Documenta

Ressenya dels llibres: Cons i neocons. El rerefons filosòfic, de Joan Vergés Gifra (ed.); Les pintures rupestres prehistòriques del Zemmur (Sahara Occidental), de Joaquim Soler i Subils; Tratado de la cabrevación, de Jaume Tos i Urgellés; La patrimonialització de la materialitat etrusca de la Toscana

Distributions on the simplex

The simplex, the sample space of compositional data, can be structured as a real Euclidean space. This fact allows to work with the coefficients with respect to an orthonormal basis. Over these coefficients we apply standard real analysis, inparticular, we define two different laws of probability trought the density function and we study their main properties

When a data set can be considered compositional?

Traditionally, compositional data has been identified with closed data, and the simplex has been considered as the natural sample space of this kind of data. In our opinion, the emphasis on the constrained nature of compositional data has contributed to mask its real nature. More crucial than the constraining property of compositional data is the scale-invariant property of this kind of data. Indeed, when we are considering only few parts of a full composition we are not working with constrained data but our data are still compositional. We believe that it is necessary to give a more precise definition of composition. This is the aim of this oral contribution

Aitchison Geometry for Probability and Likelihood as a new approach to mathematical statistics

The Aitchison vector space structure for the simplex is generalized to a Hilbert space structure A2(P) for distributions and likelihoods on arbitrary spaces. Central notations of statistics, such as Information or Likelihood, can be identified in the algebraical structure of A2(P) and their corresponding notions in compositional data analysis, such as Aitchison distance or centered log ratio transform. In this way very elaborated aspects of mathematical statistics can be understood easily in the light of a simple vector space structure and of compositional data analysis. E.g. combination of statistical information such as Bayesian updating, combination of likelihood and robust M-estimation functions are simple additions/ perturbations in A2(Pprior). Weighting observations corresponds to a weighted addition of the corresponding evidence. Likelihood based statistics for general exponential families turns out to have a particularly easy interpretation in terms of A2(P). Regular exponential families form finite dimensional linear subspaces of A2(P) and they correspond to finite dimensional subspaces formed by their posterior in the dual information space A2(Pprior). The Aitchison norm can identified with mean Fisher information. The closing constant itself is identified with a generalization of the cummulant function and shown to be Kullback Leiblers directed information. Fisher information is the local geometry of the manifold induced by the A2(P) derivative of the Kullback Leibler information and the space A2(P) can therefore be seen as the tangential geometry of statistical inference at the distribution P. The discussion of A2(P) valued random variables, such as estimation functions or likelihoods, give a further interpretation of Fisher information as the expected squared norm of evidence and a scale free understanding of unbiased reasoning

Some last thoughts on compositional data analysis

One of the disadvantages of old age is that there is more past than future: this, however, may be turned into an advantage if the wealth of experience and, hopefully, wisdom gained in the past can be reflected upon and throw some light on possible future trends. To an extent, then, this talk is necessarily personal, certainly nostalgic, but also self critical and inquisitive about our understanding of the discipline of statistics. A number of almost philosophical themes will run through the talk: search for appropriate modelling in relation to the real problem envisaged, emphasis on sensible balances between simplicity and complexity, the relative roles of theory and practice, the nature of communication of inferential ideas to the statistical layman, the inter-related roles of teaching, consultation and research. A list of keywords might be: identification of sample space and its mathematical structure, choices between transform and stay, the role of parametric modelling, the role of a sample space metric, the underused hypothesis lattice, the nature of compositional change, particularly in relation to the modelling of processes. While the main theme will be relevance to compositional data analysis we shall point to substantial implications for general multivariate analysis arising from experience of the development of compositional data analysis…

Compositional Data in Biomedical Research

Modern methods of compositional data analysis are not well known in biomedical research. Moreover, there appear to be few mathematical and statistical researchers working on compositional biomedical problems. Like the earth and environmental sciences, biomedicine has many problems in which the relevant scienti c information is encoded in the relative abundance of key species or categories. I introduce three problems in cancer research in which analysis of compositions plays an important role. The problems involve 1) the classi cation of serum proteomic pro les for early detection of lung cancer, 2) inference of the relative amounts of di erent tissue types in a diagnostic tumor biopsy, and 3) the subcellular localization of the BRCA1 protein, and it's role in breast cancer patient prognosis. For each of these problems I outline a partial solution. However, none of these problems is \solved". I attempt to identify areas in which additional statistical development is needed with the hope of encouraging more compositional data analysts to become involved in biomedical research

Spatial Analysis of Cell Composition Data

A version of Matheron’s discrete Gaussian model is applied to cell composition data. The examples are for map patterns of felsic metavolcanics in two different areas. Q-Q plots of the model for cell values representing proportion of 10 km x 10 km cell area underlain by this rock type are approximately linear, and the line of best fit can be used to estimate the parameters of the model. It is also shown that felsic metavolcanics in the Abitibi area of the Canadian Shield can be modeled as a fractal

Conditional compositional biplots: theory and application

The biplot has proved to be a powerful descriptive and analytical tool in many areas of applications of statistics. For compositional data the necessary theoretical adaptation has been provided, with illustrative applications, by Aitchison (1990) and Aitchison and Greenacre (2002). These papers were restricted to the interpretation of simple compositional data sets. In many situations the problem has to be described in some form of conditional modelling. For example, in a clinical trial where interest is in how patients’ steroid metabolite compositions may change as a result of different treatment regimes, interest is in relating the compositions after treatment to the compositions before treatment and the nature of the treatments applied. To study this through a biplot technique requires the development of some form of conditional compositional biplot. This is the purpose of this paper. We choose as a motivating application an analysis of the 1992 US President ial Election, where interest may be in how the three-part composition, the percentage division among the three candidates - Bush, Clinton and Perot - of the presidential vote in each state, depends on the ethnic composition and on the urban-rural composition of the state. The methodology of conditional compositional biplots is first developed and a detailed interpretation of the 1992 US Presidential Election provided. We use a second application involving the conditional variability of tektite mineral compositions with respect to major oxide compositions to demonstrate some hazards of simplistic interpretation of biplots. Finally we conjecture on further possible applications of conditional compositional biplots