MedVir: an interactive representation system of multidimensional medical data applied to Traumatic Brain Injury's rehabilitation prediction

Clinicians could model the brain injury of a patient through his brain activity. However, how this model is defined and how it changes when the patient is recovering are questions yet unanswered. In this paper, the use of MedVir framework is proposed with the aim of answering these questions. Based on complex data mining techniques, this provides not only the differentiation between TBI patients and control subjects (with a 72% of accuracy using 0.632 Bootstrap validation), but also the ability to detect whether a patient may recover or not, and all of that in a quick and easy way through a visualization technique which allows interaction.

La transformación de la fachada en la arquitectura del siglo XX : evolución de los elementos arquitectónicos hacia el espacio

Esta tesis doctoral, bajo el título “La transformación de la fachada en la arquitectura del siglo XX. Evolución de los elementos arquitectónicos hacia el espacio único”, examina –siguiendo el método deductivo mediante investigación documental y de campo– los principales mecanismos proyectuales que han originado una transformación arquitectónica en la fachada. El término fachada, leído normalmente como sinónimo de arquitectura, ha sido analizado bajo taxonomías historiográficas, sociopolíticas, formales, compositivas o materiales. Más allá de estas clasificaciones, esta investigación determina cómo han evolucionado los elementos arquitectónicos hacia el espacio único, transformando con ello tanto la realidad física como el concepto de fachada. Proyectar, como diría Robert Venturi1. 1966, tanto desde el exterior al interior como desde el interior al exterior, produce las tensiones necesarias que ayudan a generar la arquitectura. De ahí la importancia del estudio de la transformación de la fachada como faccia, máscara, disfraz o sistema de representación, a la fachada como un diafragma activo, como un espacio de relación o como un límite donde se produce una experiencia arquitectónica con nuevos significados. El término fachada, del latín facies y del italiano facciata, fue creado como tal durante el siglo XVI, aunque como elemento arquitectónico es una realidad clásica y un concepto humanista reinventado en el Renacimiento. A principios del siglo XX la fachada se transforma radicalmente, con la aparición del vidrio plano de grandes dimensiones, y se despoja de su carga historicista. La transparencia literal hace desaparecer (negar) la fachada. La fachada se construye con nuevos materiales, nuevas tecnologías, y responde a un espacio global que espera a ser colonizado por una sociedad en constante mutación; un espacio que irá siendo cada vez más complejo a lo largo del siglo pasado y que tendrá como una de sus principales consecuencias un mayor grado de abstracción en la fachada. Para desarrollar con mayor precisión las intenciones de este trabajo se analiza la acepción de fachada en la que se encuadra la línea de investigación de la tesis doctoral. Siguiendo las indicaciones del Profesor Kenneth Frampton, se ha optado por dedicar precisamente a este análisis el primer capítulo, de precedentes, con el fin de hacer una relectura de la fachada barroca en clave contemporánea. La fachada barroca se estudia como un punto de inflexión, y origen de la transformación, frente al clasicismo de siglos precedentes. Se plantea por tanto como el primero de los mecanismos proyectuales motivo de estudio. Estos mecanismos han sido sometidos a una clasificación que responde a diversos tipos de espacio arquitectónico que han provocado la transformación de la fachada, analizando cada uno de ellos con un filtro bajo el cual se ha desarrollado un estudio pormenorizado. De esta manera se examinan la transformación compositiva de la fachada por medio del espacio dinámico (capítulo 00_precedentes) en San Carlo alle Quattro Fontane de Francesco Borromini, la transformación constructiva de la fachada por medio del espacio membrana (capítulo 01) en la Villa Tugendhat de Mies van der Rohe, la transformación diagramática de la fachada por medio del espacio pliegue (capítulo 02) en la terminal portuaria de Yokohama de FOA, la transformación tecnológica de la fachada por medio del espacio estructura (capítulo 03) en la mediateca de Sendai de Toyo Ito y, finalmente, la transformación fenomenológica de la fachada por medio del espacio múltiple (capítulo 04) en el pabellón de vidrio del Museo Toledo de SANAA. La investigación se completa con el análisis de una serie de textos que acompañan a cada uno de los capítulos, generando así un cuerpo de conocimiento global junto al análisis documental y las visitas de campo de cada uno de los casos de estudio considerados. ABSTRACT This doctoral thesis entitled “The Transformation of the Façade in Twentieth Century Architecture. The Evolution of Architectural Elements Towards a Single Space“ employs a deductive methodology incorporating both archival and field research, to examine the main design strategies that have given rise to the architectural transformation of the façade. The term façade, usually read as a synonym for architecture, has been analyzed under historiographic, sociopolitical, formal, compositive and material taxonomies. Far beyond these classifications, this study determines how architectural elements have evolved towards a single space, consequently transforming both the physical reality and the concept of façade. As Robert Venturi would say,1 to design from the inside-out and from the outside-in can create valid tensions that help generate architecture, hence the importance of this study of the transformation of the façade as a faccia, a mask, disguise or representation system, to the façade as an active diaphragm, a connective space or a limit within which architectural events with new meaning take place. The term fachada (Spanish for façade), from the Latin facies and the Italian facciata, appeared as such during the sixteenth century, although as an architectural element it is a classical ingredient and a humanist concept reinvented during the Renaissance. At the beginning of the 20th century, the façade is radically transformed with the introduction of large format plate glass, stripping it of its historicist content. Literal transparency causes the façade to disappear. The façade is built with new materials, new technologies, responding to a global space to be occupied by an everchanging society. It is a space that becomes increasingly more complex throughout the last century and which will have, as a consequence, a larger degree of abstraction in the façade. In order to more precisely focus this investigation, the meaning of the façade has been scrutinized. Following Professor Kenneth Frampton’s advice, the first chapter -Precedents- is precisely dedicated to this analysis, in order to understand the baroque façade read in a contemporary manner. The baroque façade has been studied as a turning point, the origin of the transformation of the façade, as compared to the classicism of previous centuries. For this reason it is considered the first design strategy to be studied. These strategeies have been sorted into a classification of architectural spaces that have caused the transformation of the façade, all of which having been analyzed using a methodology allowing for detailed study. Thus, this investigation examines the compositional transformation of the façade by means of a dynamic space (chapter 00: Precedents) in San Carlo alle Quattro Fontane by Francesco Borromini, the constructive transformation of the façade by means of a membrane space (chapter 01) in the Tugendhat Villa by Mies van der Rohe, the diagrammatic transformation of the façade by means of a folded space (chapter 02) in the Yokohama International Port Terminal by FOA, the technological transformation of the façade by means of a structure space (chapter 03) in the Sendai Mediathèque by Toyo Ito, and finally, the technological transformation of the façade by means of multiple space (chapter 04) in the Glass Pavilion of the Toledo Museum of Art by SANAA. The research is supplemented by the analysis of a series of texts presented alongside each chapter; creating a global body of knowledge together alongside the documentary analysis and on site analysis of each of the case studies considered.

Desing and Validation of a Light Inference System to Support Embedded Context Reasoning

Embedded context management in resource-constrained devices (e.g. mobile phones, autonomous sensors or smart objects) imposes special requirements in terms of lightness for data modelling and reasoning. In this paper, we explore the state-of-the-art on data representation and reasoning tools for embedded mobile reasoning and propose a light inference system (LIS) aiming at simplifying embedded inference processes offering a set of functionalities to avoid redundancy in context management operations. The system is part of a service-oriented mobile software framework, conceived to facilitate the creation of context-aware applications—it decouples sensor data acquisition and context processing from the application logic. LIS, composed of several modules, encapsulates existing lightweight tools for ontology data management and rule-based reasoning, and it is ready to run on Java-enabled handheld devices. Data management and reasoning processes are designed to handle a general ontology that enables communication among framework components. Both the applications running on top of the framework and the framework components themselves can configure the rule and query sets in order to retrieve the information they need from LIS. In order to test LIS features in a real application scenario, an ‘Activity Monitor’ has been designed and implemented: a personal health-persuasive application that provides feedback on the user’s lifestyle, combining data from physical and virtual sensors. In this case of use, LIS is used to timely evaluate the user’s activity level, to decide on the convenience of triggering notifications and to determine the best interface or channel to deliver these context-aware alerts.d

A Mobile Feedback System for Integrated E-health Platforms to improve Self-Care and Compliance of Diabetes Mellitus Patients

Exploiting the full potential of telemedical systems means using platform based solutions: data are recovered from biomedical sensors, hospital information systems, care-givers, as well as patients themselves, and are processed and redistributed in an either centralized or, more probably, decentralized way. The integration of all these different devices, and interfaces, as well as the automated analysis and representation of all the pieces of information are current key challenges in telemedicine. Mobile phone technology has just begun to offer great opportunities of using this diverse information for guiding, warning, and educating patients, thus increasing their autonomy and adherence to their prescriptions. However, most of these existing mobile solutions are not based on platform systems and therefore represent limited, isolated applications. This article depicts how telemedical systems, based on integrated health data platforms, can maximize prescription adherence in chronic patients through mobile feedback. The application described here has been developed in an EU-funded R&D project called METABO, dedicated to patients with type 1 or type 2 Diabetes Mellitus

A Multi-agent System for Emergency Decision Support

This paper describes the multi-agent organization of a computer system that was designed to assist operators in decision making in the presence of emergencies. The application was developed for the case of emergencies caused by river floods. It operates on real-time receiving data recorded by sensors (rainfall, water levels, flows, etc.) and applies multi-agent techniques to interpret the data, predict the future behavior and recommend control actions. The system includes an advanced knowledge based architecture with multiple symbolic representation with uncertainty models (bayesian networks). This system has been applied and validated at two particular sites in Spain (the Jucar basin and the South basin).

Acceso de la mujer a puestos de dirección en organizaciones deportivas

Dos de los factores por los que se mide el progreso dentro de las sociedades avanzadas son la posición y estatus de las mujeres dentro de dicha sociedad. En el caso de España, la situación de la mujer ha cambiado mucho en de los últimos 40 años, y más concretamente a partir de su ingreso dentro del mercado laboral. De esta forma, sabemos que el avance hacia la igualdad en cualquier campo se ha estado produciendo, pero existen ámbitos en los que dicho avance tiene lugar de forma más lenta. Este es el caso de los puestos directivos donde la infrarrepresentación de la mujer en la toma de decisiones está observada en numerosos estudios anteriores. Pues bien, uno de los objetivos generales de la presente tesis doctoral es conocer las barreras actitudinales, lo que es conocido internacionalmente como el concepto “Techo de cristal”, en la consecución de este tipo de puestos por parte de las mujeres, dentro del sistema deportivo y en la Comunidad de Madrid. La metodología usada en esta investigación ha sido descriptiva, de corte transversal y estandarizada por medio de cuestionario, aplicado a una muestra final de 401 personas. Siendo la población objeto las personas que trabajan ocupando un puesto directivo dentro de entidades deportivas públicas y privadas ubicadas en la Comunidad de Madrid. Con una afijación proporcional según género y tipo de entidad. Los resultados obtenidos demuestran que a día de hoy todavía hay diferencias dentro de los puestos de responsabilidad, como por ejemplo, en el porcentaje de ocupación del puesto máximo, los salarios, etc, apareciendo diferentes actitudes que dificultan el acceso o promoción dentro de este tipo de puestos. Una de las principales conclusiones es que todavía no existe la equidad absoluta dentro de los puestos directivos de las organizaciones deportivas ubicadas en la Comunidad de Madrid, pero que el avance paulatino y constante se está produciendo para conseguir la plena igualdad. SUMMARY. Two of the factors that measured progress in advanced societies are the position and status of women within that society. In the case of Spain, the situation of women has changed a lot in the past 40 years, and more specifically from their entry into the labour market. In this way, we know that the progress towards equality in any field has been producing, but there are areas in which such progress takes place more slowly. This is the case of managerial posts where the under-representation of women in decision-making is observed in many previous studies. As well, one of the general objectives of this thesis it is know the attitudinal barriers, what is known internationally as the 'Glass ceiling' concept, in the pursuit of this type of posts by women within the sports system and in the community of Madrid. The methodology used in this research was descriptive, transversal and standardized cutting through questionnaire, applied to a final sample of 401 people. The target population to be people who work occupying a post steering within public and private sports organizations located in the community of Madrid. With a proportional affixation according to gender and type of entity. The results obtained show that today there are still differences in positions of responsibility, as for example, in the percentage of occupation since maximum, wages, etc., appearing different attitudes that hinder access to or promotion within this type of posts. One of the main conclusions is that there is still no absolute equity within the management positions of sport organisations located in the community of Madrid, but is occurring the gradual and steady progress to achieve full equality.

Optimizing Functional Network Representation of Multivariate Time Series

By combining complex network theory and data mining techniques, we provide objective criteria for optimization of the functional network representation of generic multivariate time series. In particular, we propose a method for the principled selection of the threshold value for functional network reconstruction from raw data, and for proper identification of the network's indicators that unveil the most discriminative information on the system for classification purposes. We illustrate our method by analysing networks of functional brain activity of healthy subjects, and patients suffering from Mild Cognitive Impairment, an intermediate stage between the expected cognitive decline of normal aging and the more pronounced decline of dementia. We discuss extensions of the scope of the proposed methodology to network engineering purposes, and to other data mining tasks.

Using modular neural networks to model self-consciousness and self-representation for artificial entities

Self-consciousness implies not only self or group recognition, but also real knowledge of one’s own identity. Self-consciousness is only possible if an individual is intelligent enough to formulate an abstract self-representation. Moreover, it necessarily entails the capability of referencing and using this elf-representation in connection with other cognitive features, such as inference, and the anticipation of the consequences of both one’s own and other individuals’ acts. In this paper, a cognitive architecture for self-consciousness is proposed. This cognitive architecture includes several modules: abstraction, self-representation, other individuals'representation, decision and action modules. It includes a learning process of self-representation by direct (self-experience based) and observational learning (based on the observation of other individuals). For model implementation a new approach is taken using Modular Artificial Neural Networks (MANN). For model testing, a virtual environment has been implemented. This virtual environment can be described as a holonic system or holarchy, meaning that it is composed of autonomous entities that behave both as a whole and as part of a greater whole. The system is composed of a certain number of holons interacting. These holons are equipped with cognitive features, such as sensory perception, and a simplified model of personality and self-representation. We explain holons’ cognitive architecture that enables dynamic self-representation. We analyse the effect of holon interaction, focusing on the evolution of the holon’s abstract self-representation. Finally, the results are explained and analysed and conclusions drawn.

Design and Validation of a Light Inference System to Support Embedded Context Reasoning

Embedded context management in resource-constrained devices (e.g. mobile phones, autonomous sensors or smart objects) imposes special requirements in terms of lightness for data modelling and reasoning. In this paper, we explore the state-of-the-art on data representation and reasoning tools for embedded mobile reasoning and propose a light inference system (LIS) aiming at simplifying embedded inference processes offering a set of functionalities to avoid redundancy in context management operations. The system is part of a service-oriented mobile software framework, conceived to facilitate the creation of context-aware applications?it decouples sensor data acquisition and context processing from the application logic. LIS, composed of several modules, encapsulates existing lightweight tools for ontology data management and rule-based reasoning, and it is ready to run on Java-enabled handheld devices. Data management and reasoning processes are designed to handle a general ontology that enables communication among framework components. Both the applications running on top of the framework and the framework components themselves can configure the rule and query sets in order to retrieve the information they need from LIS. In order to test LIS features in a real application scenario, an ?Activity Monitor? has been designed and implemented: a personal health-persuasive application that provides feedback on the user?s lifestyle, combining data from physical and virtual sensors. In this case of use, LIS is used to timely evaluate the user?s activity level, to decide on the convenience of triggering notifications and to determine the best interface or channel to deliver these context-aware alerts.

Wind intermittency and CO2 reductions: the case of the spanish power system

Renewable energy sources are believed to reduce drastically greenhouse gas emissions that would otherwise be generated from fossil fuels used to generate electricity. This implies that a unit of renewable energy will replace a unit of fossil-fuel, with its CO2 emissions, on an equivalent basis (with no other effects on the grid). But, the fuel economy and emissions in the existing power systems are not proportional with the electricity production of intermittent sources due to cycling of the fossil fuel plants that make up the balance of the grid (i.e. changing the power output makes thermal units to operate less efficiently). This study focuses in the interactions between wind generation and thermal plants cycling, by establishing the levels of extra fuel use caused by decreased efficiencies of fossil back-up for wind electricity in Spain. We analyze the production of all thermal plants in 2011, studying different scenarios where wind penetration causes major deviations in programming, while we define a procedure for quantifying the carbon reductions by using emission factors and efficiency curves from the existing installations. The objectives are to discuss the real contributions of renewable energies to the environmental targets as well as suggest alternatives that would improve the reliability of future power systems.

Knowledge representation tool for cognitiveprocesses modeling

In the last decades, neuropsychological theories tend to consider cognitive functions as a result of the whole brainwork and not as individual local areas of its cortex. Studies based on neuroimaging techniques have increased in the last years, promoting an exponential growth of the body of knowledge about relations between cognitive functions and brain structures [1]. However, so fast evolution make complicated to integrate them in verifiable theories and, even more, translated in to cognitive rehabilitation. The aim of this research work is to develop a cognitive process-modeling tool. The purpose of this system is, in the first term, to represent multidimensional data, from structural and functional connectivity, neuroimaging, data from lesion studies and derived data from clinical intervention [2][3]. This will allow to identify consolidated knowledge, hypothesis, experimental designs, new data from ongoing studies and emerging results from clinical interventions. In the second term, we pursuit to use Artificial Intelligence to assist in decision making allowing to advance towards evidence based and personalized treatments in cognitive rehabilitation. This work presents the knowledge base design of the knowledge representation tool. It is compound of two different taxonomies (structure and function) and a set of tags linking both taxonomies at different levels of structural and functional organization. The remainder of the abstract is organized as follows: Section 2 presents the web application used for gathering necessary information for generating the knowledge base, Section 3 describes knowledge base structure and finally Section 4 expounds reached conclusions.

Detecting changes in the basin of attraction of a dynamical system: Application to the postural restoring system

A method that provides athree-dimensional representation ofthe basin ofattraction of a dynamical system from experimen tal data was applied tothe problem ofdynamic balance restoration. The method isbased onthe density ofthe data onthe phase space ofthe system under study and makes use ofmodeling and numerical curve fittingtools.For the dynamical system ofbalance restora tion,the shape and the size of the basin of attraction depend on the dynamics of the postural restoring mechanisms and contain important information regarding the biomechanical,as well as the neuromuscular condition of the individual. The aim ofthis work was toexamine the ability ofthe method todetect, through the observed changes inthe shape and/or the size ofthe calculated basins of attraction, (a)the inherent differences between different systems (in the current application, postural restoring systems of different individuals)and (b)induced chan ges in the same system (thepostural restoring system of an individual).The results ofthe study confirm the validity of the method and furthermore justify its robustness.

Building a decision support system with a knowledge modeling tool

Knowledge modeling tools are software tools that follow a modeling approach to help developers in building a knowledge-based system. The purpose of this article is to show the advantages of using this type of tools in the development of complex knowledge-based decision support systems. In order to do so, the article describes the development of a system called SAIDA in the domain of hydrology with the help of the KSM modeling tool. SAIDA operates on real-time receiving data recorded by sensors (rainfall, water levels, flows, etc.). It follows a multi-agent architecture to interpret the data, predict the future behavior and recommend control actions. The system includes an advanced knowledge based architecture with multiple symbolic representation. KSM was especially useful to design and implement the complex knowledge based architecture in an efficient way.

ExperNet: An Intelligent Multiagent System for WAN Management

This paper describes ExperNet, an intelligent multi-agent system that was developed under an EU funded project to assist in the management of a large-scale data network. ExperNet assists network operators at various nodes of a WAN to detect and diagnose hardware failures and network traffic problems and suggests the most feasible solution, through a web-based interface. ExperNet is composed by intelligent agents, capable of both local problem solving and social interaction among them for coordinating problem diagnosis and repair. The current network state is captured and maintained by conventional network management and monitoring software components, which have been smoothly integrated into the system through sophisticated information exchange interfaces. For the implementation of the agents, a distributed Prolog system enhanced with networking facilities was developed. The agents’ knowledge base is developed in an extensible and reactive knowledge base system capable of handling multiple types of knowledge representation. ExperNet has been developed, installed and tested successfully in an experimental network zone of Ukraine.

Finite element code-based modeling of a multi-feature isolation system and passive alleviation of possible inner pounding

The existing seismic isolation systems are based on well-known and accepted physical principles, but they are still having some functional drawbacks. As an attempt of improvement, the Roll-N-Cage (RNC) isolator has been recently proposed. It is designed to achieve a balance in controlling isolator displacement demands and structural accelerations. It provides in a single unit all the necessary functions of vertical rigid support, horizontal flexibility with enhanced stability, resistance to low service loads and minor vibration, and hysteretic energy dissipation characteristics. It is characterized by two unique features that are a self-braking (buffer) and a self-recentering mechanism. This paper presents an advanced representation of the main and unique features of the RNC isolator using an available finite element code called SAP2000. The validity of the obtained SAP2000 model is then checked using experimental, numerical and analytical results. Then, the paper investigates the merits and demerits of activating the built-in buffer mechanism on both structural pounding mitigation and isolation efficiency. The paper addresses the problem of passive alleviation of possible inner pounding within the RNC isolator, which may arise due to the activation of its self-braking mechanism under sever excitations such as near-fault earthquakes. The results show that the obtained finite element code-based model can closely match and accurately predict the overall behavior of the RNC isolator with effectively small errors. Moreover, the inherent buffer mechanism of the RNC isolator could mitigate or even eliminate direct structure-tostructure pounding under severe excitation considering limited septation gaps between adjacent structures. In addition, the increase of inherent hysteretic damping of the RNC isolator can efficiently limit its peak displacement together with the severity of the possibly developed inner pounding and, therefore, alleviate or even eliminate the possibly arising negative effects of the buffer mechanism on the overall RNC-isolated structural responses.