The variability and interdependence of spider viscid line tensile properties

True stress-true strain curves of naturally spun viscid line fibers retrieved directly from the spiral of orb-webs built by Argiope trifasciata spiders were measured using a novel methodology. This new procedure combines a method for removing the aqueous coating of the fibers and a technique that allows the accurate measurement of their cross sectional area. Comparison of the tensile behaviour of different samples indicates that naturally spun viscid lines show a large variability, comparable to that of other silks, such as major ampullate gland silk and silkworm silk. Nevertheless, application of a statistical analysis allowed identifying two independent parameters that underlie the variability and characterize the observed range of true stress-true strain curves. Combination of this result with previous mechanical and microstructural data suggested the assignment of these two independent effects to the degree of alignment of the protein chains and to the local relative humidity which, in turn, depends on the composition of the viscous coating and on the external environmental conditions.

Energy Analysis of Bare Electrodynamic Tethers

The design of an electrodynamic tether is a complex task that involves the control of dynamic instabilities, optimization of the generated power (or the descent time in deorbiting missions), and minimization of the tether mass. The electrodynamic forces on an electrodynamic tether are responsible for variations in the mechanical energy of the tethered system and can also drive the system to dynamic instability. Energy sources and sinks in this system include the following: 1) ionospheric impedance, 2) the potential drop at the cathodic contactor, 3) ohmic losses in the tether, 4) the corotational plasma electric field, and 5) generated power and/or 6) input power. The analysis of each of these energy components, or bricks, establishes parameters that are useful tools for tether design. In this study, the nondimensional parameters that govern the orbital energy variation, dynamic instability, and power generation were characterized, and their mutual interdependence was established. A space-debris mitigation mission was taken as an example of this approach for the assessment of tether performance. Numerical simulations using a dumbbell model for tether dynamics, the International Geomagnetic Reference Field for the geomagnetic field, and the International Reference Ionosphere for the ionosphere were performed to test the analytical approach. The results obtained herein stress the close relationships that exist among the velocity of descent, dynamic stability, and generated power. An optimal tether design requires a detailed tradeoff among these performances in a real-world scenario.

HERMES: A user-friendly connectivity analysis software

The analysis of the interdependence between time series has become an important field of research, mainly as a result of advances in the characterization of dynamical systems from the signals they produce, and the introduction of concepts such as Generalized (GS) and Phase synchronization (PS). This increase in the number of approaches to tackle the existence of the so-called functional (FC) and effective connectivity (EC) (Friston 1994) between two, (or among many) neural networks, along with their mathematical complexity, makes it desirable to arrange them into a unified toolbox, thereby allowing neuroscientists, neurophysiologists and researchers from related fields to easily access and make use of them.

HERMES: Towards an Integrated Toolbox to Characterize Functional and Effective Brain Connectivity

The analysis of the interdependence between time series has become an important field of research in the last years, mainly as a result of advances in the characterization of dynamical systems from the signals they produce, the introduction of concepts such as generalized and phase synchronization and the application of information theory to time series analysis. In neurophysiology, different analytical tools stemming from these concepts have added to the ‘traditional’ set of linear methods, which includes the cross-correlation and the coherency function in the time and frequency domain, respectively, or more elaborated tools such as Granger Causality. This increase in the number of approaches to tackle the existence of functional (FC) or effective connectivity (EC) between two (or among many) neural networks, along with the mathematical complexity of the corresponding time series analysis tools, makes it desirable to arrange them into a unified-easy-to-use software package. The goal is to allow neuroscientists, neurophysiologists and researchers from related fields to easily access and make use of these analysis methods from a single integrated toolbox. Here we present HERMES (http://hermes.ctb.upm.es), a toolbox for the Matlab® environment (The Mathworks, Inc), which is designed to study functional and effective brain connectivity from neurophysiological data such as multivariate EEG and/or MEG records. It includes also visualization tools and statistical methods to address the problem of multiple comparisons. We believe that this toolbox will be very helpful to all the researchers working in the emerging field of brain connectivity analysis.

Optimisation of algorithms to compute information theoretic indexes

Analysis of big amount of data is a field with many years of research. It is centred in getting significant values, to make it easier to understand and interpret data. Being the analysis of interdependence between time series an important field of research, mainly as a result of advances in the characterization of dynamical systems from the signals they produce. In the medicine sphere, it is easy to find many researches that try to understand the brain behaviour, its operation mode and its internal connections. The human brain comprises approximately 1011 neurons, each of which makes about 103 synaptic connections. This huge number of connections between individual processing elements provides the fundamental substrate for neuronal ensembles to become transiently synchronized or functionally connected. A similar complex network configuration and dynamics can also be found at the macroscopic scales of systems neuroscience and brain imaging. The emergence of dynamically coupled cell assemblies represents the neurophysiological substrate for cognitive function such as perception, learning, thinking. Understanding the complex network organization of the brain on the basis of neuroimaging data represents one of the most impervious challenges for systems neuroscience. Brain connectivity is an elusive concept that refers to diferent interrelated aspects of brain organization: structural, functional connectivity (FC) and efective connectivity (EC). Structural connectivity refers to a network of physical connections linking sets of neurons, it is the anatomical structur of brain networks. However, FC refers to the statistical dependence between the signals stemming from two distinct units within a nervous system, while EC refers to the causal interactions between them. This research opens the door to try to resolve diseases related with the brain, like Parkinson’s disease, senile dementia, mild cognitive impairment, etc. One of the most important project associated with Alzheimer’s research and other diseases are enclosed in the European project called Blue Brain. The center for Biomedical Technology (CTB) of Universidad Politecnica de Madrid (UPM) forms part of the project. The CTB researches have developed a magnetoencephalography (MEG) data processing tool that allow to visualise and analyse data in an intuitive way. This tool receives the name of HERMES, and it is presented in this document. Analysis of big amount of data is a field with many years of research. It is centred in getting significant values, to make it easier to understand and interpret data. Being the analysis of interdependence between time series an important field of research, mainly as a result of advances in the characterization of dynamical systems from the signals they produce. In the medicine sphere, it is easy to find many researches that try to understand the brain behaviour, its operation mode and its internal connections. The human brain comprises approximately 1011 neurons, each of which makes about 103 synaptic connections. This huge number of connections between individual processing elements provides the fundamental substrate for neuronal ensembles to become transiently synchronized or functionally connected. A similar complex network configuration and dynamics can also be found at the macroscopic scales of systems neuroscience and brain imaging. The emergence of dynamically coupled cell assemblies represents the neurophysiological substrate for cognitive function such as perception, learning, thinking. Understanding the complex network organization of the brain on the basis of neuroimaging data represents one of the most impervious challenges for systems neuroscience. Brain connectivity is an elusive concept that refers to diferent interrelated aspects of brain organization: structural, functional connectivity (FC) and efective connectivity (EC). Structural connectivity refers to a network of physical connections linking sets of neurons, it is the anatomical structur of brain networks. However, FC refers to the statistical dependence between the signals stemming from two distinct units within a nervous system, while EC refers to the causal interactions between them. This research opens the door to try to resolve diseases related with the brain, like Parkinson’s disease, senile dementia, mild cognitive impairment, etc. One of the most important project associated with Alzheimer’s research and other diseases are enclosed in the European project called Blue Brain. The center for Biomedical Technology (CTB) of Universidad Politecnica de Madrid (UPM) forms part of the project. The CTB researches have developed a magnetoencephalography (MEG) data processing tool that allow to visualise and analyse data in an intuitive way. This tool receives the name of HERMES, and it is presented in this document.

La planta Miralles: representación y pensamiento en la arquitectura de Enric Miralles

Resulta imposible disociar la evolución de la arquitectura de Enric Miralles de lo que fue el desarrollo de un sistema de representación propio. Partiendo de una posición heredada de su formación en la Escuela de Arquitectura de Barcelona y de su práctica en el estudio Viaplana-Piñón, donde adquiere el gusto por la precisión en el dibujo técnico, la delineación sobre papel vegetal o el grafismo constituido exclusivamente a base de líneas del mismo grosor, Miralles pronto evoluciona hacia un método caracterizado por un personal uso del sistema diédrico, vinculado a una concepción fragmentaria de la planta de arquitectura y del espacio mismo. Miralles proyectará por fragmentos de planta, asignándoles una geometría característica para diferenciarlos entre sí y desarrollar su espacialidad y sección con cierta autonomía, a través de planos y maquetas independientes. Gran parte de la arquitectura que elabora con Carme Pinós, en solitario o con Benedetta Tagliabue, estará compuesta por colecciones de piezas heterogéneas herederas de los fragmentos de la planta original, que encajan entre sí no en base a esquemas clásicos de integración subordinada o jerárquica, sino a través de posiciones relativas de yuxtaposición o superposición, caracterizadas por una ausencia de compacidad en la solución de conjunto. Este sistema de representación se apoya por tanto en la geometría como mecanismo de diferenciación por piezas, se basa en la fragmentación del diédrico desde la fragmentación de la planta, y en la falta de compacidad como soporte de pensamiento separativo. Un sistema que se define como “planta Miralles”, término que incluye todas las técnicas de representación empleadas por el arquitecto, desde planos a maquetas, pero que enfatiza la importancia estratégica de la planta como origen y guía del proyecto de arquitectura. La tesis se estructura en los tres primeros capítulos como un corolario de las categorías enunciadas, explicando, en orden cronológico a través de los proyectos, la evolución de la geometría, la utilización del diédrico, y el impacto de la falta de compacidad en la obra construida. Mientras que estos capítulos son globales, se refieren a la trayectoria de este método en su totalidad, el cuarto y último es un estudio de detalle de su aplicación en un proyecto particular, el Ayuntamiento de Utrecht, a través de los dibujos originales de Miralles. Tanto en la explicación global como en el estudio de detalle de este sistema de representación, la tesis pone de manifiesto su instrumentalidad en el pensamiento de esta arquitectura, argumentando que ésta no podría haber sido desarrollada sin la existencia del mismo. La relación entre representación y pensamiento es por tanto un tema capital para explicar esta obra. No obstante, hasta la fecha, las referencias al mismo en la bibliografía disponible no han pasado de ser una colección de opiniones dispersas, incapaces de construir por sí mismas un cuerpo estructurado y coherente de conocimiento. Se ha insistido sobremanera en el análisis y contextualización de los proyectos individuales, y poco en el estudio de la técnica proyectual utilizada para pensarlos y llevarlos a cabo. En definitiva, se han priorizado los resultados frente a los procesos creativos, existiendo por tanto un inexplicable vacío teórico respecto a un tema de gran importancia. Este vacío es el marco donde se inserta la necesidad de esta tesis doctoral. La investigación que aquí se presenta explica el origen y evolución del sistema de representación de Enric Miralles, desde su etapa como estudiante en la Escuela de Arquitectura de Barcelona hasta los últimos proyectos que elabora con Benedetta Tagliabue, así como el estudio de sus consecuencias en la obra construida. Termina concluyendo que su desarrollo es paralelo al de la arquitectura de Miralles, poniendo de manifiesto su vinculación y mutua interdependencia. ABSTRACT It is impossible to dissociate the evolution of the architecture of Enric Miralles from the development of his own system of representation. Starting from a position inherited from his training at the Barcelona School of Architecture and his practice at the office of Viaplana-Piñón, where he acquires a liking for precision in drafting and a graphic style based exclusively on lines of the same thickness, Miralles soon moves into a method defined by a customized use of the dihedral system, connected to a fragmented conception of the floorplan and space itself. Breaking up the floorplan into multiple fragments, Miralles will design an architecture where each of them has a unique shape and geometry, developing their sections and spatial qualities with a certain degree of autonomy within the whole, through separate plans and models. Many of the projects he designs with Carme Pinós, individually or with Benedetta Tagliabue, will consist of collections of heterogeneous pieces, heirs of the original floorplan fragments, which do not fit together according to classical principles of subordinate or hierarchical integration, but based on relative positions of juxtaposition or superposition that lead to a lack of compactness in the overall scheme. This system of representation is thus based on the use of geometry as a way of differentiating architectural pieces, on the fragmentation of the dihedral system from the fragmentation of the floorplan, and on a lack of compactness as a device of separative thinking. This system is defined as “Miralles plan”, a term that includes all techniques of representation used by the architect, from plans to models, and that emphasizes the particular importance of the floorplan as the guiding force of the design process. The first three chapters of the thesis have been structured as a corollary of these categories, explaining, in chronological order through Miralles’ projects, the evolution of geometry, the customization of the dihedral system, and the impact of the lack of compactness on the built work. While these three chapters are global, for they refer to the overall evolution of this system, the fourth and last one is a case study of its application to a particular project, the Utrecht Town Hall, through Miralles’ original drawings. Both in the global and particular explanations of this system of representation, the thesis highlights its instrumentality in the process of thinking this architecture, arguing that it could not have been designed without its parallel development. The relationship between thinking and representation is therefore a key issue to explain this architecture. However, to date, existing references to it in the available literature have not evolved from a collection of scattered opinions, unable to build for themselves a structured and coherent body of knowledge. Great emphasis has been put on the critical contextualization of this architecture through the analysis of the projects themselves, but little on the study of the design technique used to think and carry them out. Results have been prioritized over creative processes, existing therefore an inexplicable theoretical void on an issue of great importance. This void is the conceptual framework where the need for this thesis is inserted. This research explains the origin and evolution of Enric Miralles’ system of representation, from his time as student at the Barcelona School of Architecture to the last projects he designed with Benedetta Tagliabue, as well as the study of its impact on the built work. It concludes that the development of this system runs parallel to that of the architecture it is used for, making it explicit its indissolubility and mutual interdependence.

Functional and effective connectivity in MEG. Application to the study of epilepsy

Nuestro cerebro contiene cerca de 1014 sinapsis neuronales. Esta enorme cantidad de conexiones proporciona un entorno ideal donde distintos grupos de neuronas se sincronizan transitoriamente para provocar la aparición de funciones cognitivas, como la percepción, el aprendizaje o el pensamiento. Comprender la organización de esta compleja red cerebral en base a datos neurofisiológicos, representa uno de los desafíos más importantes y emocionantes en el campo de la neurociencia. Se han propuesto recientemente varias medidas para evaluar cómo se comunican las diferentes partes del cerebro a diversas escalas (células individuales, columnas corticales, o áreas cerebrales). Podemos clasificarlos, según su simetría, en dos grupos: por una parte, la medidas simétricas, como la correlación, la coherencia o la sincronización de fase, que evalúan la conectividad funcional (FC); mientras que las medidas asimétricas, como la causalidad de Granger o transferencia de entropía, son capaces de detectar la dirección de la interacción, lo que denominamos conectividad efectiva (EC). En la neurociencia moderna ha aumentado el interés por el estudio de las redes funcionales cerebrales, en gran medida debido a la aparición de estos nuevos algoritmos que permiten analizar la interdependencia entre señales temporales, además de la emergente teoría de redes complejas y la introducción de técnicas novedosas, como la magnetoencefalografía (MEG), para registrar datos neurofisiológicos con gran resolución. Sin embargo, nos hallamos ante un campo novedoso que presenta aun varias cuestiones metodológicas sin resolver, algunas de las cuales trataran de abordarse en esta tesis. En primer lugar, el creciente número de aproximaciones para determinar la existencia de FC/EC entre dos o más señales temporales, junto con la complejidad matemática de las herramientas de análisis, hacen deseable organizarlas todas en un paquete software intuitivo y fácil de usar. Aquí presento HERMES (http://hermes.ctb.upm.es), una toolbox en MatlabR, diseñada precisamente con este fin. Creo que esta herramienta será de gran ayuda para todos aquellos investigadores que trabajen en el campo emergente del análisis de conectividad cerebral y supondrá un gran valor para la comunidad científica. La segunda cuestión practica que se aborda es el estudio de la sensibilidad a las fuentes cerebrales profundas a través de dos tipos de sensores MEG: gradiómetros planares y magnetómetros, esta aproximación además se combina con un enfoque metodológico, utilizando dos índices de sincronización de fase: phase locking value (PLV) y phase lag index (PLI), este ultimo menos sensible a efecto la conducción volumen. Por lo tanto, se compara su comportamiento al estudiar las redes cerebrales, obteniendo que magnetómetros y PLV presentan, respectivamente, redes más densamente conectadas que gradiómetros planares y PLI, por los valores artificiales que crea el problema de la conducción de volumen. Sin embargo, cuando se trata de caracterizar redes epilépticas, el PLV ofrece mejores resultados, debido a la gran dispersión de las redes obtenidas con PLI. El análisis de redes complejas ha proporcionado nuevos conceptos que mejoran caracterización de la interacción de sistemas dinámicos. Se considera que una red está compuesta por nodos, que simbolizan sistemas, cuyas interacciones se representan por enlaces, y su comportamiento y topología puede caracterizarse por un elevado número de medidas. Existe evidencia teórica y empírica de que muchas de ellas están fuertemente correlacionadas entre sí. Por lo tanto, se ha conseguido seleccionar un pequeño grupo que caracteriza eficazmente estas redes, y condensa la información redundante. Para el análisis de redes funcionales, la selección de un umbral adecuado para decidir si un determinado valor de conectividad de la matriz de FC es significativo y debe ser incluido para un análisis posterior, se convierte en un paso crucial. En esta tesis, se han obtenido resultados más precisos al utilizar un test de subrogadas, basado en los datos, para evaluar individualmente cada uno de los enlaces, que al establecer a priori un umbral fijo para la densidad de conexiones. Finalmente, todas estas cuestiones se han aplicado al estudio de la epilepsia, caso práctico en el que se analizan las redes funcionales MEG, en estado de reposo, de dos grupos de pacientes epilépticos (generalizada idiopática y focal frontal) en comparación con sujetos control sanos. La epilepsia es uno de los trastornos neurológicos más comunes, con más de 55 millones de afectados en el mundo. Esta enfermedad se caracteriza por la predisposición a generar ataques epilépticos de actividad neuronal anormal y excesiva o bien síncrona, y por tanto, es el escenario perfecto para este tipo de análisis al tiempo que presenta un gran interés tanto desde el punto de vista clínico como de investigación. Los resultados manifiestan alteraciones especificas en la conectividad y un cambio en la topología de las redes en cerebros epilépticos, desplazando la importancia del ‘foco’ a la ‘red’, enfoque que va adquiriendo relevancia en las investigaciones recientes sobre epilepsia. ABSTRACT There are about 1014 neuronal synapses in the human brain. This huge number of connections provides the substrate for neuronal ensembles to become transiently synchronized, producing the emergence of cognitive functions such as perception, learning or thinking. Understanding the complex brain network organization on the basis of neuroimaging data represents one of the most important and exciting challenges for systems neuroscience. Several measures have been recently proposed to evaluate at various scales (single cells, cortical columns, or brain areas) how the different parts of the brain communicate. We can classify them, according to their symmetry, into two groups: symmetric measures, such as correlation, coherence or phase synchronization indexes, evaluate functional connectivity (FC); and on the other hand, the asymmetric ones, such as Granger causality or transfer entropy, are able to detect effective connectivity (EC) revealing the direction of the interaction. In modern neurosciences, the interest in functional brain networks has increased strongly with the onset of new algorithms to study interdependence between time series, the advent of modern complex network theory and the introduction of powerful techniques to record neurophysiological data, such as magnetoencephalography (MEG). However, when analyzing neurophysiological data with this approach several questions arise. In this thesis, I intend to tackle some of the practical open problems in the field. First of all, the increase in the number of time series analysis algorithms to study brain FC/EC, along with their mathematical complexity, creates the necessity of arranging them into a single, unified toolbox that allow neuroscientists, neurophysiologists and researchers from related fields to easily access and make use of them. I developed such a toolbox for this aim, it is named HERMES (http://hermes.ctb.upm.es), and encompasses several of the most common indexes for the assessment of FC and EC running for MatlabR environment. I believe that this toolbox will be very helpful to all the researchers working in the emerging field of brain connectivity analysis and will entail a great value for the scientific community. The second important practical issue tackled in this thesis is the evaluation of the sensitivity to deep brain sources of two different MEG sensors: planar gradiometers and magnetometers, in combination with the related methodological approach, using two phase synchronization indexes: phase locking value (PLV) y phase lag index (PLI), the latter one being less sensitive to volume conduction effect. Thus, I compared their performance when studying brain networks, obtaining that magnetometer sensors and PLV presented higher artificial values as compared with planar gradiometers and PLI respectively. However, when it came to characterize epileptic networks it was the PLV which gives better results, as PLI FC networks where very sparse. Complex network analysis has provided new concepts which improved characterization of interacting dynamical systems. With this background, networks could be considered composed of nodes, symbolizing systems, whose interactions with each other are represented by edges. A growing number of network measures is been applied in network analysis. However, there is theoretical and empirical evidence that many of these indexes are strongly correlated with each other. Therefore, in this thesis I reduced them to a small set, which could more efficiently characterize networks. Within this framework, selecting an appropriate threshold to decide whether a certain connectivity value of the FC matrix is significant and should be included in the network analysis becomes a crucial step, in this thesis, I used the surrogate data tests to make an individual data-driven evaluation of each of the edges significance and confirmed more accurate results than when just setting to a fixed value the density of connections. All these methodologies were applied to the study of epilepsy, analysing resting state MEG functional networks, in two groups of epileptic patients (generalized and focal epilepsy) that were compared to matching control subjects. Epilepsy is one of the most common neurological disorders, with more than 55 million people affected worldwide, characterized by its predisposition to generate epileptic seizures of abnormal excessive or synchronous neuronal activity, and thus, this scenario and analysis, present a great interest from both the clinical and the research perspective. Results revealed specific disruptions in connectivity and network topology and evidenced that networks’ topology is changed in epileptic brains, supporting the shift from ‘focus’ to ‘networks’ which is gaining importance in modern epilepsy research.

HERMES: towards an integrated toolbox to characterize functional and effective brain connectivity

The analysis of the interdependence between time series has become an important field of research in the last years, mainly as a result of advances in the characterization of dynamical systems from the signals they produce, the introduction of concepts such as generalized and phase synchronization and the application of information theory to time series analysis. In neurophysiology, different analytical tools stemming from these concepts have added to the ?traditional? set of linear methods, which includes the cross-correlation and the coherency function in the time and frequency domain, respectively, or more elaborated tools such as Granger Causality. This increase in the number of approaches to tackle the existence of functional (FC) or effective connectivity (EC) between two (or among many) neural networks, along with the mathematical complexity of the corresponding time series analysis tools, makes it desirable to arrange them into a unified, easy-to-use software package. The goal is to allow neuroscientists, neurophysiologists and researchers from related fields to easily access and make use of these analysis methods from a single integrated toolbox. Here we present HERMES (http://hermes.ctb.upm.es), a toolbox for the Matlab® environment (The Mathworks, Inc), which is designed to study functional and effective brain connectivity from neurophysiological data such as multivariate EEG and/or MEG records. It includes also visualization tools and statistical methods to address the problem of multiple comparisons. We believe that this toolbox will be very helpful to all the researchers working in the emerging field of brain connectivity analysis.

A dynamic, probabilistic model for city building

The problem of interdependence between housing and commuting in a city has been analysed within the framework of welfare economics. Uncertain changes overtime in the working population has been considered by means of a dynamic, probabilistic model. The characteristics of irreversibility and durability in city building have been explicitly dealt with. The ultimate objective is that the model after further development will be an auxiliary tool in city planning.

An extension of Mohring’s model for land rent distribution

In an early paper Herbert Mohring (J. Poi Et on , 49 (1961)) presented a model for land rent distribution yielding the well-known result that the price of land must fall with the distance from the city center to offset transportation costs. Our paper is an extension of Mohring's model in which we relax some of his drastic simplifying assumptions. This extended model has been incorporated in a method for economic evaluation of city master plans which has been applied to a Swedish city. In this method the interdependence among housing, heating, and transportation, the dura-bility of urban structures, and the uncertainty of future demand are explicitly considered within a cost-benefit approach. Some empirical results from this pilot study concerning land rent distributions are also presented here.

A holistic experience in the integrated learning of specialized English and content in Engineering degrees

This paper aims to outline a theory-based Content and Language Integrated Learning course and to establish the rationale for adopting a holistic approach to the teaching of languages in tertiary education. Our work focuses on the interdependence between Content and Language Integrated Learning (CLIL), and the use of Information and Communication Technologies (ICT), in particular regarding the learning of English within the framework of Telecommunications Engineering. The study first analyses the diverse components of the instructional approach and the extent to which this approach interrelates with technologies within the context of what we have defined as a holistic experience, since it also aims to develop a set of generic competences or transferable skills. Second, an example of a course project framed in this holistic approach is described in order to exemplify the specific actions suggested for learner autonomy and CLIL. The approach provides both an adequate framework as well as the conditions needed to carry out a lifelong learning experience within our context, a Spanish School of Engineering. In addition to specialized language and content, the approach integrates the learning of skills and capacities required by the new plans that have been established following the Bologna Declaration in 1999.

Disparador MIDI para batería

La batería acústica es un instrumento de percusión muy complejo que requiere altas dosis de coordinación, interdependencia y musicalidad. Los músicos necesitan nuevas formas de desarrollarse y expresarse. Buscando caminos que mejoren su comprensión. Así también los aprendices requieren herramientas para poder disfrutar del instrumento musical. Construir un disparador MIDI mejora esas prestaciones. Aumenta la cantidad de soni-dos, es adaptable a la forma de tocar y simplifica los conceptos evitando problemas a los principiantes. Actualmente existen escasos disparadores MIDI en el mercado. En su lugar se presen-tan módulos electrónicos con altas características, complejos de utilizar y con alto coste. El proyecto a implementar consiste en un disparador MIDI, un equipo cuyo fin es cap-tar los impactos que efectúa un músico; un percusionista. En el proyecto se estudian y analizan las problemáticas a las que se enfrenta este tipo de dispositivo, se propondrá distintas soluciones de concepto y, finalmente se construirá dicho sistema que será probado en un ordenador personal. Con un ideal en mente, emular una batería acústica y ser un proyecto abierto en el sentido de ser modulable y ampliable. ABSTRACT. Drum set is a very complex percussion instrument that requires a lot of coordination, interdependence and musicality. Musicians need new ways to develop and express themselves, as well as learners re-quire tools to enjoy the musical instrument. Build a MIDI drum trigger improves these benefits. It increases the amount of sounds, is customizable and simplifies problems for drummer beginners. There are currently a few MIDI triggers on the market. Instead, electronic modules with high features, complex to use and they are sold at high cost. The aim of the project is to implement a MIDI drum trigger, a kit to capture the impact that percussionist makes. The project studies and analyzes the problems which this type of device. Different solutions concept will be proposed and finally the system will be built. With an ideal in mind, emulate an acoustic drum.

Teaching writing through reading: a text-centred approach

Se comparan y contrastan las destrezas requeridas para la comprensión lectora con aquellas que se necesitan para la producción de escritos correctos, en inglés, coherentes y bien cohesionados. Se comentan las actividades didácticas relacionadas con ello.The aim of this article is to establish the relevance of teaching reading and writing skills to students at Madrid Polytechnic University, and to show the relationship and interdependence of these activities in EAP courses. The skills involved in reading and writing processes for academic purposes for L2 students are compared and commented on from a rhetorical point of view. Learning tasks based on text-type analysis are recommended as adequate activities to build schemata for writing and represent a synthesis of the teaching objectives proposed for reading and writing English courses.

Analytical models for the power subsystem and the attitude control subsystem of a microsatellite

El trabajo realizado en la presente tesis doctoral se debe considerar parte del proyecto UPMSat-2, que se enmarca dentro del ámbito de la tecnología aeroespacial. El UPMSat-2 es un microsatélite (de bajo coste y pequeño tamaño) diseñado, construido, probado e integrado por la Universidad Politécnica de Madrid (España), para fines de demostración tecnológica y educación. El objetivo de la presente tesis doctoral es presentar nuevos modelos analíticos para estudiar la interdependencia energética entre los subsistemas de potencia y de control de actitud de un satélite. En primer lugar, se estudia la simulación del subsistema de potencia de un microsatélite, prestando especial atención a la simulación de la fuente de potencia, esto es, los paneles solares. En la tesis se presentan métodos sencillos pero precisos para simular la producción de energía de los paneles en condiciones ambientales variables a través de su circuito equivalente. Los métodos propuestos para el cálculo de los parámetros del circuito equivalente son explícitos (o al menos, con las variables desacopladas), no iterativos y directos; no se necesitan iteraciones o valores iniciales para calcular los parámetros. La precisión de este método se prueba y se compara con métodos similares de la literatura disponible, demostrando una precisión similar para mayor simplicidad. En segundo lugar, se presenta la simulación del subsistema de control de actitud de un microsatélite, prestando especial atención a la nueva ley de control propuesta. La tesis presenta un nuevo tipo de control magnético es aplicable a la órbita baja terrestre (LEO). La ley de control propuesta es capaz de ajustar la velocidad de rotación del satélite alrededor de su eje principal de inercia máximo o mínimo. Además, en el caso de órbitas de alta inclinación, la ley de control favorece la alineación del eje de rotación con la dirección normal al plano orbital. El algoritmo de control propuesto es simple, sólo se requieren magnetopares como actuadores; sólo se requieren magnetómetros como sensores; no hace falta estimar la velocidad angular; no incluye un modelo de campo magnético de la Tierra; no tiene por qué ser externamente activado con información sobre las características orbitales y permite el rearme automático después de un apagado total del subsistema de control de actitud. La viabilidad teórica de la citada ley de control se demuestra a través de análisis de Monte Carlo. Por último, en términos de producción de energía, se demuestra que la actitud propuesto (en eje principal perpendicular al plano de la órbita, y el satélite que gira alrededor de ella con una velocidad controlada) es muy adecuado para la misión UPMSat-2, ya que permite una área superior de los paneles apuntando hacia el sol cuando se compara con otras actitudes estudiadas. En comparación con el control de actitud anterior propuesto para el UPMSat-2 resulta en un incremento de 25% en la potencia disponible. Además, la actitud propuesto mostró mejoras significativas, en comparación con otros, en términos de control térmico, como la tasa de rotación angular por satélite puede seleccionarse para conseguir una homogeneización de la temperatura más alta que apunta satélite y la antena. ABSTRACT The work carried out in the present doctoral dissertation should be considered part of the UPMSat-2 project, falling within the scope of the aerospace technology. The UPMSat-2 is a microsatellite (low cost and small size) designed, constructed integrated and tested for educational and technology demonstration purposes at the Universidad Politécnica de Madrid (Spain). The aim of the present doctoral dissertation is to present new analytical models to study the energy interdependence between the power and the attitude control subsystems of a satellite. First, the simulation of the power subsystem of a microsatellite is studied, paying particular attention to the simulation of the power supply, i.e. the solar panels. Simple but accurate methods for simulate the power production under variable ambient conditions using its equivalent circuit are presented. The proposed methods for calculate the equivalent circuit parameters are explicit (or at least, with decoupled variables), non-iterative and straight forward; no iterations or initial values for the parameters are needed. The accuracy of this method is tested and compared with similar methods from the available literature demonstrating similar precision but higher simplicity. Second, the simulation of the control subsystem of a microsatellite is presented, paying particular attention to the new control law proposed. A new type of magnetic control applied to Low Earth Orbit (LEO) satellites has been presented. The proposed control law is able to set the satellite rotation speed around its maximum or minimum inertia principal axis. Besides, the proposed control law favors the alignment of this axis with the normal direction to the orbital plane for high inclination orbits. The proposed control algorithm is simples, only magnetorquers are required as actuators; only magnetometers are required as sensors; no estimation of the angular velocity is needed; it does not include an in-orbit Earth magnetic field model; it does not need to be externally activated with information about the orbital characteristics and it allows automatic reset after a total shutdown of attitude control subsystem. The theoretical viability of the control law is demonstrated through Monte Carlo analysis. Finally, in terms of power production, it is demonstrated that the proposed attitude (on principal axis perpendicular to the orbit plane, and the satellite rotating around it with a controlled rate) is quite suitable for the UPMSat-2 mission, as it allows a higher area of the panels pointing towards the sun when compared to other studied attitudes. Compared with the previous attitude control proposed for the UPMSat-2 it results in a 25% increment in available power. Besides, the proposed attitude showed significant improvements, when compared to others, in terms of thermal control, as the satellite angular rotation rate can be selected to achieve a higher temperature homogenization of the satellite and antenna pointing.

Fomento del interés por la ciencia y la tecnología para estudiantes de enseñanza secundaria

Una de las metodologías más utilizadas en la asignatura de Tecnología debido a su naturaleza, íntimamente ligada con el saber cómo hacemos las cosas y por que las hacemos, es el aprendizaje a través del trabajo colaborativo. El objeto de este trabajo es analizar su utilización en 4o ESO, para introducir una propuesta de optimización del trabajo colaborativo en el aula de Tecnología. El primer capítulo de este documento se centra en las bases teóricas de la metodología, por un lado recoge su evolución histórica en el último siglo y su fundamentación, y por otro, los elementos necesarios para que pueda darse un aprendizaje colaborativo eficaz. A continuación, en los dos siguientes capítulos, se describe el procedimiento que se ha llevado a cabo para el estudio del trabajo colaborativo en Tecnología, realizando una descripción detallada de los instrumentos que se han utilizado para la recogida de datos: la observación sistemática de un grupo y el análisis de cuestionarios. En base a todo lo anterior, se exponen las conclusiones extraídas sobre la utilización del método, que ponen de manifiesto las dificultades de establecer relaciones de interdependencia entre los miembros de los grupos colaborativos. Para, por último, proponer la introducción de videojuegos multijugadores en el aula como herramienta educativa, para potenciar el desarrollo de las habilidades sociales necesarias en la optimización del trabajo colaborativo. One of the most popular methods used in engineering class in high school, due to its inquisitive nature of learning how to do things and why we do them, is collaborative work. The purpose of this thesis is to analyse its use in the fourth year of high school, in order to submit a proposal for collaborative work optimization in the Technology classroom. The outline of this paper is as follows. The first chapter of this paper presents the theoretical basis of the method, it firstly provides an overview of its historical evolution over the last century, and secondly, focuses on the essential elements required to have an effective collaborative learning. In the next two chapters, the procedure followed to study collaborative work is described through a detailed explanation of the techniques used for data collection: systematic observation of a group and survey analysis. Chapter 4 concludes. Findings from applying the examined methodology demonstrate the difficulties of establishing interdependence relationships among members of collaborative groups. Finally, the introduction of multiplayer gaming in the classroom is proposed as an educational tool to strengthen the development of social skills needed to optimize collaborative work.