Cómics para videojuegos, industria cultural y digital.

Las Start-ups han se consideran el medio por el cual personas independientes puedan dar a conocer sus nuevas e innovadoras ideas. Estas nuevas ideas son las que hoy en día invaden el mundo de la tecnología, mueven el mercado y la inversión por parte de diferentes empresas. El auge de los smartphones y la tecnología que manejan, han permitido que diferentes Start-ups puedan sobresalir con sus ideas y poder mostrarlas el mercado. El éxito de este modelo de negocio ha permitido que haya más competencia y variabilidad en el mercado, de igual forma ha rompido con estereotipos que muchos profesionales han tenido por años. Estas pequeñas empresas a través de las aplicaciones móviles, o “Apps”, han hecho la vida del ser humano más simple dándole soluciones digitales en el teléfono celular o diferentes artefactos tecnológicos. La relación del hombre y la tecnología ha sido objeto de estudio para la antropología digital, pues el interactuar con el mundo tecnológico el ser humano ha cambiado su estilo de vida y comportamientos. Por otro lado, los medios que las industrias digitales ofrecen, han sido de gran ayuda para poder generar un mayor contacto, o empatía, con el ser humano. De esta manera muchas empresas acuden a estas ideas creativas para que sus productos puedan generar una mayor empatía con los consumidores y así haya fidelidad hacia éstos. Esta tesis buscará dar una solución a la empresa TTidh, para que pueda promocionar y dar a conocer al público, sus videojuegos en el formato de aplicaciones móviles. La solución a este problema se dará a través de un cómic el cual se hará con el videojuego Pesty Veggies. Este tendrá tres objetos de estudio principales. El Primero será el estudio de la antropología digital, las necesidades digitales y análogas. El segundo será analizar la historia de los cómics y cómo surgió su éxito. Finalmente, la realización del comic.

Branching random motions, nonlinear hyperbolic systems and traveling waves

A branching random motion on a line, with abrupt changes of direction, is studied. The branching mechanism, being independient of random motion, and intensities of reverses are defined by a particle's current direction. A soluton of a certain hyperbolic system of coupled non-linear equations (Kolmogorov type backward equation) have a so-called McKean representation via such processes. Commonly this system possesses traveling-wave solutions. The convergence of solutions with Heaviside terminal data to the travelling waves is discussed.This Paper realizes the McKean programme for the Kolmogorov-Petrovskii-Piskunov equation in this case. The Feynman-Kac formula plays a key role.

Close reading 11-14 : comprehension, interpretation and language activities.

Este recurso se compone de quince fragmentos, en su mayoría de novelas modernas, diseñados para alumnos de doce a catorce años. Los pasajes están, más o menos, clasificados en orden de dificultad, con las últimas selecciones procedentes de libros dirigidos a lectores adultos. Se ofrece un resumen para estimular el interés del conjunto del texto. Cada capítulo se centra en una característica específica del lenguaje y proporciona explicaciones y ejercicios de prácticas en ese aspecto. Los temas varían en dificultad, y los maestros pueden usar su criterio para decidir si una sección es apropiada para un grupo de alumnos en particular. Se proporciona al final del libro material para la revisión.

Validation of the Scale of Preferences and Expectations in Close Interpersonal Relationships (EPERIC)

Resumen tomado de la publicaci??n

Medical image registration based on random line sampling

One of the key aspects in 3D-image registration is the computation of the joint intensity histogram. We propose a new approach to compute this histogram using uniformly distributed random lines to sample stochastically the overlapping volume between two 3D-images. The intensity values are captured from the lines at evenly spaced positions, taking an initial random offset different for each line. This method provides us with an accurate, robust and fast mutual information-based registration. The interpolation effects are drastically reduced, due to the stochastic nature of the line generation, and the alignment process is also accelerated. The results obtained show a better performance of the introduced method than the classic computation of the joint histogram

Random walk radiosity with generalized absorption probabilities

The author studies random walk estimators for radiosity with generalized absorption probabilities. That is, a path will either die or survive on a patch according to an arbitrary probability. The estimators studied so far, the infinite path length estimator and finite path length one, can be considered as particular cases. Practical applications of the random walks with generalized probabilities are given. A necessary and sufficient condition for the existence of the variance is given, together with heuristics to be used in practical cases. The optimal probabilities are also found for the case when one is interested in the whole scene, and are equal to the reflectivities

Error and complexity of random walk Monte Carlo radiosity

The author studies the error and complexity of the discrete random walk Monte Carlo technique for radiosity, using both the shooting and gathering methods. The author shows that the shooting method exhibits a lower complexity than the gathering one, and under some constraints, it has a linear complexity. This is an improvement over a previous result that pointed to an O(n log n) complexity. The author gives and compares three unbiased estimators for each method, and obtains closed forms and bounds for their variances. The author also bounds the expected value of the mean square error (MSE). Some of the results obtained are also shown

Analysis and Simulation of Transverse Random Fracture of Long Fibre Reinforced Composites

La present tesi proposa una metodología per a la simulació probabilística de la fallada de la matriu en materials compòsits reforçats amb fibres de carboni, basant-se en l'anàlisi de la distribució aleatòria de les fibres. En els primers capítols es revisa l'estat de l'art sobre modelització matemàtica de materials aleatoris, càlcul de propietats efectives i criteris de fallada transversal en materials compòsits. El primer pas en la metodologia proposada és la definició de la determinació del tamany mínim d'un Element de Volum Representatiu Estadístic (SRVE) . Aquesta determinació es du a terme analitzant el volum de fibra, les propietats elàstiques efectives, la condició de Hill, els estadístics de les components de tensió i defromació, la funció de densitat de probabilitat i les funcions estadístiques de distància entre fibres de models d'elements de la microestructura, de diferent tamany. Un cop s'ha determinat aquest tamany mínim, es comparen un model periòdic i un model aleatori, per constatar la magnitud de les diferències que s'hi observen. Es defineix, també, una metodologia per a l'anàlisi estadístic de la distribució de la fibra en el compòsit, a partir d'imatges digitals de la secció transversal. Aquest anàlisi s'aplica a quatre materials diferents. Finalment, es proposa un mètode computacional de dues escales per a simular la fallada transversal de làmines unidireccionals, que permet obtenir funcions de densitat de probabilitat per a les variables mecàniques. Es descriuen algunes aplicacions i possibilitats d'aquest mètode i es comparen els resultats obtinguts de la simulació amb valors experimentals.

A atitude dos professores face à inclusão de alunos com deficiência : a influência do nível de ensino

RESUMO: A conjuntura actual veicula a necessidade de reflexão e de mudança acerca da concepção do modelo educativo, que se reformulam em novas realidades e ajustam a incumbência de adaptar. É certo que as necessidades de mudança devem partir de uma reflexão séria, fundamentando-se e difundindo o seu propósito em valores superiores. Estes desafios, que se cruzam na moralização social, tornam a discussão acerca do Paradigma Inclusivo substancial. O carácter quantitativo do estudo, assume o pressuposto de encontrar uma forma de monitorização de dados, decorrentes da aplicação de um inquérito por questionário, que para além da recolha de informações, visava também promover a reflexão dos professores, acerca das suas atitudes. Numa lógica de investigação em mosaico, obteve-se uma amostra total de 741 inquiridos, seleccionados no universo docente de forma aleatória. O tratamento estatístico foi desenvolvido por meio do suplemento EZanalyze, recorrendo-nos do teste paramétrico de análise de variância – ANOVA. Assim, pareceu-nos pertinente, centrar este estudo na figura activa do professor, no processo ensino-aprendizagem em contexto de sala de aula, propondo-nos a procurar eventuais analogias entre as variáveis Nível de Ensino e Grupo Disciplinar em estreita relação com a atitude dos docentes, relativas às vantagens da educação inclusiva, tanto para os alunos ditos normais como para os alunos portadores de deficiência, averiguando tanto a deficiência no seu âmbito geral, como especificando ainda a Deficiência Mental e a Deficiência Motora. Verificou-se que as variáveis Nível de Ensino e o Grupo Disciplinar influenciam directamente a atitude dos professores face aos benefícios para os alunos, que advêm da implementação do Paradigma Inclusivo. Verificou-se ainda que as vantagens que a inclusão proporciona, vão-se esbatendo à medida que o nível de ensino vai avançando. Naturalmente, destacam-se de forma positiva, os Educadores de Infância e os professores do 1º ciclo como os que se aproximam de atitudes mais inclusivas. Por sua vez constatou-se que as atitudes dos docentes do 2º ciclo ao ensino secundário evidenciavam atitudes bastante idênticas. ABSTRACT: The present context conveys the need for reflection and transformation on the educational model, which will reshape into new realities and readapt. It is true that the need for change must start from a serious enquiry, basing himself and his purpose on spreading higher standards. These challenges are intertwined in social moralizing which makes the discussion surrounding the Inclusive Paradigm substantial. The quantitative nature of the study, assumes the purpose of finding a way to monitor data from the application of a questionnaire that in addition to the collection of information, also aimed at promoting teachers reflection about their attitudes. In the logics of mosaic research, we obtained a total sample of 741 respondents, all of them were teachers selected at random. Statistical analysis was developed through EZanalyze, using the parametric test analysis of variance - ANOVA. Thus, it seemed appropriate that this study focused on the teacher's active figure on the teaching-learning process in the classroom, offering us a look for possible analogies between the variables Education Degree and Discipline Group in close relation with the teacher’s attitude concerning the advantages of inclusive education, for normal students as for students with disabilities, examining the deficiency within the general scope, such as specifying mentally and physical disabled. It was concluded that the variables Level of Education and Discipline Group directly influence teacher’s attitude, towards student’s benefits, coming from implementation of the Inclusive Paradigm. It was also concluded that the benefits of inclusion, are blurred as the education level progresses. Standing in a positive way, Early Childhood Educators and First Degree Teachers have more inclusive attitudes. Also, teachers from Second Degree to Secondary Degree has evidenced has being fairly homogeneous related to their attitudes towards the benefits of implementing a truly Inclusive Paradigm.

Algorithm for generating defective graphene sheets

An algorithm is presented for the generation of molecular models of defective graphene fragments, containing a majority of 6-membered rings with a small number of 5- and 7-membered rings as defects. The structures are generated from an initial random array of points in 2D space, which are then subject to Delaunay triangulation. The dual of the triangulation forms a Voronoi tessellation of polygons with a range of ring sizes. An iterative cycle of refinement, involving deletion and addition of points followed by further triangulation, is performed until the user-defined criteria for the number of defects are met. The array of points and connectivities are then converted to a molecular structure and subject to geometry optimization using a standard molecular modeling package to generate final atomic coordinates. On the basis of molecular mechanics with minimization, this automated method can generate structures, which conform to user-supplied criteria and avoid the potential bias associated with the manual building of structures. One application of the algorithm is the generation of structures for the evaluation of the reactivity of different defect sites. Ab initio electronic structure calculations on a representative structure indicate preferential fluorination close to 5-ring defects.

Periodic Reordering

For many networks in nature, science and technology, it is possible to order the nodes so that most links are short-range, connecting near-neighbours, and relatively few long-range links, or shortcuts, are present. Given a network as a set of observed links (interactions), the task of finding an ordering of the nodes that reveals such a range-dependent structure is closely related to some sparse matrix reordering problems arising in scientific computation. The spectral, or Fiedler vector, approach for sparse matrix reordering has successfully been applied to biological data sets, revealing useful structures and subpatterns. In this work we argue that a periodic analogue of the standard reordering task is also highly relevant. Here, rather than encouraging nonzeros only to lie close to the diagonal of a suitably ordered adjacency matrix, we also allow them to inhabit the off-diagonal corners. Indeed, for the classic small-world model of Watts & Strogatz (1998, Collective dynamics of ‘small-world’ networks. Nature, 393, 440–442) this type of periodic structure is inherent. We therefore devise and test a new spectral algorithm for periodic reordering. By generalizing the range-dependent random graph class of Grindrod (2002, Range-dependent random graphs and their application to modeling large small-world proteome datasets. Phys. Rev. E, 66, 066702-1–066702-7) to the periodic case, we can also construct a computable likelihood ratio that suggests whether a given network is inherently linear or periodic. Tests on synthetic data show that the new algorithm can detect periodic structure, even in the presence of noise. Further experiments on real biological data sets then show that some networks are better regarded as periodic than linear. Hence, we find both qualitative (reordered networks plots) and quantitative (likelihood ratios) evidence of periodicity in biological networks.

The use of earth observation techniques to improve catchment-scale pollution predictions

Remote sensing can potentially provide information useful in improving pollution transport modelling in agricultural catchments. Realisation of this potential will depend on the availability of the raw data, development of information extraction techniques, and the impact of the assimilation of the derived information into models. High spatial resolution hyperspectral imagery of a farm near Hereford, UK is analysed. A technique is described to automatically identify the soil and vegetation endmembers within a field, enabling vegetation fractional cover estimation. The aerially-acquired laser altimetry is used to produce digital elevation models of the site. At the subfield scale the hypothesis that higher resolution topography will make a substantial difference to contaminant transport is tested using the AGricultural Non-Point Source (AGNPS) model. Slope aspect and direction information are extracted from the topography at different resolutions to study the effects on soil erosion, deposition, runoff and nutrient losses. Field-scale models are often used to model drainage water, nitrate and runoff/sediment loss, but the demanding input data requirements make scaling up to catchment level difficult. By determining the input range of spatial variables gathered from EO data, and comparing the response of models to the range of variation measured, the critical model inputs can be identified. Response surfaces to variation in these inputs constrain uncertainty in model predictions and are presented. Although optical earth observation analysis can provide fractional vegetation cover, cloud cover and semi-random weather patterns can hinder data acquisition in Northern Europe. A Spring and Autumn cloud cover analysis is carried out over seven UK sites close to agricultural districts, using historic satellite image metadata, climate modelling and historic ground weather observations. Results are assessed in terms of probability of acquisition probability and implications for future earth observation missions. (C) 2003 Elsevier Ltd. All rights reserved.