Generalized interval vector spaces and interval optimization

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Probabilistic Recursion Theory and Implicit Computational Complexity

In this thesis we provide a characterization of probabilistic computation in itself, from a recursion-theoretical perspective, without reducing it to deterministic computation. More specifically, we show that probabilistic computable functions, i.e., those functions which are computed by Probabilistic Turing Machines (PTM), can be characterized by a natural generalization of Kleene's partial recursive functions which includes, among initial functions, one that returns identity or successor with probability 1/2. We then prove the equi-expressivity of the obtained algebra and the class of functions computed by PTMs. In the the second part of the thesis we investigate the relations existing between our recursion-theoretical framework and sub-recursive classes, in the spirit of Implicit Computational Complexity. More precisely, endowing predicative recurrence with a random base function is proved to lead to a characterization of polynomial-time computable probabilistic functions.

On the signature of positive braids and adjacency for torus knots

The objects of study in this thesis are knots. More precisely, positive braid knots, which include algebraic knots and torus knots. In the first part of this thesis, we compare two classical knot invariants - the genus g and the signature σ - for positive braid knots. Our main result on positive braid knots establishes a linear lower bound for the signature in terms of the genus. In the second part of the thesis, a positive braid approach is applied to the study of the local behavior of polynomial functions from the complex affine plane to the complex numbers. After endowing polynomial function germs with a suitable topology, the adjacency problem arises: for a fixed germ f, what classes of germs g can be found arbitrarily close to f? We introduce two purely topological notions of adjacency for knots and discuss connections to algebraic notions of adjacency and the adjacency problem.

Análisis de la actividad neuronal y cerebral mediante técnicas de redes complejas

El cerebro humano es probablemente uno de los sistemas más complejos a los que nos enfrentamos en la actualidad, si bien es también uno de los más fascinantes. Sin embargo, la compresión de cómo el cerebro organiza su actividad para llevar a cabo tareas complejas es un problema plagado de restos y obstáculos. En sus inicios la neuroimagen y la electrofisiología tenían como objetivo la identificación de regiones asociadas a activaciones relacionadas con tareas especificas, o con patrones locales que variaban en el tiempo dada cierta actividad. Sin embargo, actualmente existe un consenso acerca de que la actividad cerebral tiene un carácter temporal multiescala y espacialmente extendido, lo que lleva a considerar el cerebro como una gran red de áreas cerebrales coordinadas, cuyas conexiones funcionales son continuamente creadas y destruidas. Hasta hace poco, el énfasis de los estudios de la actividad cerebral funcional se han centrado en la identidad de los nodos particulares que forman estas redes, y en la caracterización de métricas de conectividad entre ellos: la hipótesis subyacente es que cada nodo, que es una representación mas bien aproximada de una región cerebral dada, ofrece a una única contribución al total de la red. Por tanto, la neuroimagen funcional integra los dos ingredientes básicos de la neuropsicología: la localización de la función cognitiva en módulos cerebrales especializados y el rol de las fibras de conexión en la integración de dichos módulos. Sin embargo, recientemente, la estructura y la función cerebral han empezado a ser investigadas mediante la Ciencia de la Redes, una interpretación mecánico-estadística de una antigua rama de las matemáticas: La teoría de grafos. La Ciencia de las Redes permite dotar a las redes funcionales de una gran cantidad de propiedades cuantitativas (robustez, centralidad, eficiencia, ...), y así enriquecer el conjunto de elementos que describen objetivamente la estructura y la función cerebral a disposición de los neurocientíficos. La conexión entre la Ciencia de las Redes y la Neurociencia ha aportado nuevos puntos de vista en la comprensión de la intrincada anatomía del cerebro, y de cómo las patrones de actividad cerebral se pueden sincronizar para generar las denominadas redes funcionales cerebrales, el principal objeto de estudio de esta Tesis Doctoral. Dentro de este contexto, la complejidad emerge como el puente entre las propiedades topológicas y dinámicas de los sistemas biológicos y, específicamente, en la relación entre la organización y la dinámica de las redes funcionales cerebrales. Esta Tesis Doctoral es, en términos generales, un estudio de cómo la actividad cerebral puede ser entendida como el resultado de una red de un sistema dinámico íntimamente relacionado con los procesos que ocurren en el cerebro. Con este fin, he realizado cinco estudios que tienen en cuenta ambos aspectos de dichas redes funcionales: el topológico y el dinámico. De esta manera, la Tesis está dividida en tres grandes partes: Introducción, Resultados y Discusión. En la primera parte, que comprende los Capítulos 1, 2 y 3, se hace un resumen de los conceptos más importantes de la Ciencia de las Redes relacionados al análisis de imágenes cerebrales. Concretamente, el Capitulo 1 está dedicado a introducir al lector en el mundo de la complejidad, en especial, a la complejidad topológica y dinámica de sistemas acoplados en red. El Capítulo 2 tiene como objetivo desarrollar los fundamentos biológicos, estructurales y funcionales del cerebro, cuando éste es interpretado como una red compleja. En el Capítulo 3, se resumen los objetivos esenciales y tareas que serán desarrolladas a lo largo de la segunda parte de la Tesis. La segunda parte es el núcleo de la Tesis, ya que contiene los resultados obtenidos a lo largo de los últimos cuatro años. Esta parte está dividida en cinco Capítulos, que contienen una versión detallada de las publicaciones llevadas a cabo durante esta Tesis. El Capítulo 4 está relacionado con la topología de las redes funcionales y, específicamente, con la detección y cuantificación de los nodos mas importantes: aquellos denominados “hubs” de la red. En el Capítulo 5 se muestra como las redes funcionales cerebrales pueden ser vistas no como una única red, sino más bien como una red-de-redes donde sus componentes tienen que coexistir en una situación de balance funcional. De esta forma, se investiga cómo los hemisferios cerebrales compiten para adquirir centralidad en la red-de-redes, y cómo esta interacción se mantiene (o no) cuando se introducen fallos deliberadamente en la red funcional. El Capítulo 6 va un paso mas allá al considerar las redes funcionales como sistemas vivos. En este Capítulo se muestra cómo al analizar la evolución de la topología de las redes, en vez de tratarlas como si estas fueran un sistema estático, podemos caracterizar mejor su estructura. Este hecho es especialmente relevante cuando se quiere tratar de encontrar diferencias entre grupos que desempeñan una tarea de memoria, en la que las redes funcionales tienen fuertes fluctuaciones. En el Capítulo 7 defino cómo crear redes parenclíticas a partir de bases de datos de actividad cerebral. Este nuevo tipo de redes, recientemente introducido para estudiar las anormalidades entre grupos de control y grupos anómalos, no ha sido implementado nunca en datos cerebrales y, en este Capítulo explico cómo hacerlo cuando se quiere evaluar la consistencia de la dinámica cerebral. Para concluir esta parte de la Tesis, el Capítulo 8 se centra en la relación entre las propiedades topológicas de los nodos dentro de una red y sus características dinámicas. Como mostraré más adelante, existe una relación entre ellas que revela que la posición de un nodo dentro una red está íntimamente correlacionada con sus propiedades dinámicas. Finalmente, la última parte de esta Tesis Doctoral está compuesta únicamente por el Capítulo 9, el cual contiene las conclusiones y perspectivas futuras que pueden surgir de los trabajos expuestos. En vista de todo lo anterior, espero que esta Tesis aporte una perspectiva complementaria sobre uno de los más extraordinarios sistemas complejos frente a los que nos encontramos: El cerebro humano. ABSTRACT The human brain is probably one of the most complex systems we are facing, thus being a timely and fascinating object of study. Characterizing how the brain organizes its activity to carry out complex tasks is highly non-trivial. While early neuroimaging and electrophysiological studies typically aimed at identifying patches of task-specific activations or local time-varying patterns of activity, there has now been consensus that task-related brain activity has a temporally multiscale, spatially extended character, as networks of coordinated brain areas are continuously formed and destroyed. Up until recently, though, the emphasis of functional brain activity studies has been on the identity of the particular nodes forming these networks, and on the characterization of connectivity metrics between them, the underlying covert hypothesis being that each node, constituting a coarse-grained representation of a given brain region, provides a unique contribution to the whole. Thus, functional neuroimaging initially integrated the two basic ingredients of early neuropsychology: localization of cognitive function into specialized brain modules and the role of connection fibres in the integration of various modules. Lately, brain structure and function have started being investigated using Network Science, a statistical mechanics understanding of an old branch of pure mathematics: graph theory. Network Science allows endowing networks with a great number of quantitative properties, thus vastly enriching the set of objective descriptors of brain structure and function at neuroscientists’ disposal. The link between Network Science and Neuroscience has shed light about how the entangled anatomy of the brain is, and how cortical activations may synchronize to generate the so-called functional brain networks, the principal object under study along this PhD Thesis. Within this context, complexity appears to be the bridge between the topological and dynamical properties of biological systems and, more specifically, the interplay between the organization and dynamics of functional brain networks. This PhD Thesis is, in general terms, a study of how cortical activations can be understood as the output of a network of dynamical systems that are intimately related with the processes occurring in the brain. In order to do that, I performed five studies that encompass both the topological and the dynamical aspects of such functional brain networks. In this way, the Thesis is divided into three major parts: Introduction, Results and Discussion. In the first part, comprising Chapters 1, 2 and 3, I make an overview of the main concepts of Network Science related to the analysis of brain imaging. More specifically, Chapter 1 is devoted to introducing the reader to the world of complexity, specially to the topological and dynamical complexity of networked systems. Chapter 2 aims to develop the biological, topological and functional fundamentals of the brain when it is seen as a complex network. Next, Chapter 3 summarizes the main objectives and tasks that will be developed along the forthcoming Chapters. The second part of the Thesis is, in turn, its core, since it contains the results obtained along these last four years. This part is divided into five Chapters, containing a detailed version of the publications carried out during the Thesis. Chapter 4 is related to the topology of functional networks and, more specifically, to the detection and quantification of the leading nodes of the network: the hubs. In Chapter 5 I will show that functional brain networks can be viewed not as a single network, but as a network-of-networks, where its components have to co-exist in a trade-off situation. In this way, I investigate how the brain hemispheres compete for acquiring the centrality of the network-of-networks and how this interplay is maintained (or not) when failures are introduced in the functional network. Chapter 6 goes one step beyond by considering functional networks as living systems. In this Chapter I show how analyzing the evolution of the network topology instead of treating it as a static system allows to better characterize functional networks. This fact is especially relevant when trying to find differences between groups performing certain memory tasks, where functional networks have strong fluctuations. In Chapter 7 I define how to create parenclitic networks from brain imaging datasets. This new kind of networks, recently introduced to study abnormalities between control and anomalous groups, have not been implemented with brain datasets and I explain in this Chapter how to do it when evaluating the consistency of brain dynamics. To conclude with this part of the Thesis, Chapter 8 is devoted to the interplay between the topological properties of the nodes within a network and their dynamical features. As I will show, there is an interplay between them which reveals that the position of a node in a network is intimately related with its dynamical properties. Finally, the last part of this PhD Thesis is composed only by Chapter 9, which contains the conclusions and future perspectives that may arise from the exposed results. In view of all, I hope that reading this Thesis will give a complementary perspective of one of the most extraordinary complex systems: The human brain.

Investigación y análisis sobre la idoneidad de la práctica del tenis de mesa en la Educación Primaria

Esta investigación surge a raíz de la experiencia profesional del autor, maestro especialista de Educación Física en el C.E.I.P. “Alhambra” de Madrid, cuando de manera progresiva, aprecia que el tenis de mesa puede ser un deporte muy interesante de desarrollar en las sesiones de Educación Física y de promover dentro de los tiempos de recreo. El autor cree que este deporte desarrolla una serie de objetivos motrices, afectivos, cognitivos y sociales que pueden contribuir a la adquisición de las competencias básicas y al desarrollo integral de los alumnos. Es entonces cuando recibe formación sobre el deporte de tenis de mesa y busca los medios necesarios de financiación para que se dote al centro del material necesario. Así la Junta municipal del distrito de Fuencarral-El Pardo instala en el patio del colegio tres mesas de exterior y, con los recursos del colegio y la ayuda de la Asociación de padres y madres (AMPA), se consiguen cinco mesas de interior plegables y todo el material necesario (redes, raquetas, pelotas, etc.). Tras introducir este deporte desde 3º a 6º de Educación Primaria promueve un campeonato en el colegio cuyo índice de participación ronda el 90% del alumnado, estos resultados crean al autor ciertas incertidumbres que son la motivación y punto de partida para realizar esta investigación que analice si la práctica del tenis de mesa puede resultar idónea en la etapa de Educación Primaria. Introducción La legislación actual en materia de educación, Ley Orgánica 2/2006, de 3 de mayo, de Educación (LOE) modificada por la Ley Orgánica 8/2013, de 9 de diciembre, para la mejora de la calidad educativa. (LOMCE), otorga una gran relevancia al deporte en general. "El deporte es una actividad saludable, divertida y formativa que puede tener profundos beneficios no sólo para su salud y su bienestar sino también para el desarrollo personal integral físico, psicológico y psicosocial del niño, además de sobre su desarrollo deportivo" (Pradas, 2009, p. 151), es pues, un momento idóneo para analizar qué deportes se practican en los colegios o por qué se practican unos más que otros. "El tenis de mesa además de ser un deporte para todos, se presenta como un juego atractivo, en donde su práctica resulta muy divertida a cualquier edad, tanto para niños como para adultos, principalmente porque presenta unas reglas de juego simples, no encerrando peligro alguno para la integridad física de sus practicantes durante su juego" (Pradas, 2009, p. 83). Es un deporte que "está abierto a todos, sin distinción de edad o sexo, tanto como deporte de alto nivel como de práctica familiar o social" (Gatien, 1993, p. 16). No obstante, "son escasas las obras sobre tenis de mesa. Pocos libros, tanto de divulgación como de reflexión sobre el tenis de mesa, adornan los estantes de las librerías y las bibliotecas" (Erb, 1999, p.14) y añade “así pues, el medio escolar padece de falta de obras explicativas y pedagógicas referidas a este tema" (Erb, 1999, p.14 ) En particular, se pretenden conseguir cinco objetivos divididos en tres categorías (el centro, el profesorado y el deporte. • A nivel de Centro: - Conocer el porcentaje de colegios que disponen de espacios y materiales adecuados para la práctica del tenis de mesa, así como identificar, de las distintas Direcciones de Área Territoriales (DAT), cuál tiene los colegios mejor dotados tanto en instalaciones como en materiales para desarrollar programas de promoción del tenis de mesa. - Averiguar las posibles causas por las que el tenis de mesa no se practica tanto como otros deportes, analizando los impedimentos que limitan la implantación del tenis de mesa como un deporte habitual en los centros de Educación Primaria. Analizar la opinión del profesorado en cuanto a los materiales y las instalaciones necesarios para el tenis de mesa. • A nivel de profesorado: - Analizar el nivel de conocimiento que tienen los profesionales que imparten la asignatura de Educación Física sobre el tenis de mesa, así como sus necesidades para incluir unidades didácticas de tenis de mesa en sus programaciones didácticas. - Conocer el perfil de profesor ideal que recomienda la utilización del tenis de mesa y averiguar el interés del profesorado por recibir formación específica del tenis de mesa. • A nivel de deporte: - Analizar la opinión de los profesionales sobre la idoneidad del tenis de mesa en la Educación Primaria atendiendo a los objetivos que persigue, a las competencias que desarrolla, a los contenidos, criterios de evaluación y estándares de aprendizaje que se pueden trabajar y a las lesiones que se producen. Metodología La investigación se caracterizó por utilizar una metodología inductiva, al surgir de la experiencia profesional del autor, también fue transversal al analizar la realidad en un momento concreto y de tipo cuantitativa. La población objeto de estudio fue la totalidad de los colegios públicos de la Comunidad de Madrid, siendo los profesores de Educación Física los encargados de facilitar los datos solicitados. Estos datos se obtuvieron utilizando como instrumento de toma de datos el cuestionario auto administrado con preguntas cerradas de opción múltiple previamente validado por un panel de 5 expertos. Las variables indirectas fueron: el género del profesorado, la edad del profesorado, la experiencia profesional y el tipo de destino. El proceso de la toma de datos supuso un lapso de tiempo de 3 meses, desde mayo de 2015 hasta julio de 2015, en este tiempo hubo dos fases de recogida de datos, una online a través del correo electrónico institucional de los colegios públicos de la Comunidad de Madrid y otra “in situ” con cuestionarios de lápiz y papel. En cuanto a los datos que se obtuvieron, sobre una población de 798 colegios, se consiguió una muestra de 276, esto supuso una tasa de respuesta del 34,59%, asumiendo la situación más desfavorable posible (p=q) y un nivel de confianza del 95%, para el total de los 276 cuestionarios cumplimentados, el error máximo fue del ±4,78%. Resultados En cuanto a los resultados obtenidos, se establecieron de acuerdo a tres dimensiones: A nivel de Centro, a nivel de Profesorado y a nivel del Deporte y pretendieron averiguar si se alcanzaron los cinco objetivos planteados. Tras el análisis de los resultados, se apreció que los colegios públicos de la Comunidad de Madrid disponían de las suficientes instalaciones para el tenis de mesa, en cambio, faltaban materiales específicos y formación por parte del profesorado, así como recursos didácticos y un programa de promoción del tenis de mesa. Se apreció un manifiesto interés por parte del profesorado en recibir formación específica de tenis de mesa pues la mayoría recomendaba la utilización del tenis de mesa dentro de la asignatura de Educación Física en Educación Primaria. Por último, los resultados mostraron la cantidad de objetivos motrices, afectivos, cognitivos y sociales que desarrolla el tenis de mesa así como su contribución a la adquisición de las competencias básicas y al objetivo “k” de la Educación Primaria, que indica “Valorar la higiene y la salud, conocer y respetar el cuerpo humano, y utilizar la Educación Física y el deporte como medios para favorecer el desarrollo personal y social”, además, se mostró el bajo índice de lesiones que provoca. Discusión y conclusiones El tenis de mesa es un deporte idóneo para ser practicado y enseñado en la asignatura de Educación Física en la etapa de Educación Primaria debido a la gran cantidad de contenidos que son susceptibles de ser trabajados a través de este deporte y debido a la gran cantidad de valores, individuales y sociales que se pueden fomentar con la práctica del tenis de mesa. Las causas de que hasta ahora, el tenis de mesa no sea un deporte practicado de forma habitual en los colegios públicos de la Comunidad de Madrid a pesar de trabajar muchos contenidos específicos de la asignatura de Educación Física puede deberse a factores externos al deporte del tenis de mesa y susceptibles de ser solucionados con una adecuada inversión en materiales específicos, formación del profesorado y recursos didácticos. Si se dota a los centros de los materiales y recursos didácticos necesarios y dando formación al profesorado, éste introduciría unidades didácticas de tenis de mesa dentro de sus programaciones anuales. La federación española y madrileña de tenis de mesa, deberían desarrollar un programa de promoción dotando de materiales y recursos a los centros, tal y como lo han hecho otras federaciones como la de voleibol, bádminton o de baloncesto, entre otras. ABSTRACT This research arises from the professional experience of the author, specialized teacher of physical education in the CEIP "Alhambra" in Madrid, where progressively, appreciates that table tennis can be a very interesting sport to develop in physical education sessions and promote within the playtimes. The author believes that this sport develops a range of motor, affective, cognitive and social objectives that can contribute to the acquisition of basic skills and the integral development of students. It is then when receives training on the sport of table tennis and seeks ways of funding in order to outfit the center with necessary equipment. The Municipal District of Fuencarral-El Pardo installed three outdoor tables in the schoolyard and with the resources of the school and the support of the Association of Parents (AMPA), five indoor folding tables are achieved as well as all the necessary material (nets, rackets, balls, etc.). After introduce the sport from 3rd to 6th grade of primary education, promotes a championship in the school where the participation rate is around 90% of students, these results create the uncertainties to the author that are the motivation and starting point for this research to analyze whether the practice of table tennis can be ideal at the stage of primary education. Introduction The current legislation on education, Organic Law 2/2006 of 3 May, on Education (LOE) as amended by Organic Law 8/2013, of December 9, to improve educational quality (LOMCE), attaches great importance to the sport in general, "Sport is a healthy, funny and educational activity that can have great benefits not only for their health and well-being but also for the physical, psychological and psychosocial comprehensive personal child development besides on their sports development "(Pradas, 2009, p. 151), is therefore an ideal moment to analyze which sports are practiced in schools or why are practiced some more than others. "The table tennis as well as being a sport for everyone, is presented as an attractive game, where its practice is funny at any age, both children and adults, mainly because it has simple game rules, not enclosing danger for the physical integrity of its practitioners during their game" (Pradas, 2009, p. 83). It is a sport that is "open to all, regardless of age or sex, as high-level sport, as family or social practice" (Gatien, 1993, p. 16). However, "there are few books on table tennis. Few books, both reflexion or popularization about table tennis, adorn the shelves of bookstores and libraries." (Erb, 1999, p.14) and add "So, the school environment suffers from lack of explanatory and educational work related to this issue." (Erb, 1999, p.14) In particular, it is intended to achieve the following objectives within the Community of Madrid: • To determine the percentage of schools that have spaces and materials suitable for practicing table tennis and identify, from the different Directorates of Land Area (DAT), which has the best equipped schools in both facilities and materials to develop programs to promote table tennis. • Find out the possible causes that explained why table tennis is not practiced as much as other sports, analyzing impediments that limit the implementation of table tennis as a regular sport in primary schools. Analyze the opinion of teachers in terms of materials and facilities needed for table tennis. • Analyze the level of knowledge about table tennis among professionals who teach the subject of Physical Education and their needs to include teaching units about table tennis in their teaching programs. • Knowing the profile of the ideal teacher who recommends the use of table tennis and figure out the interest of teachers to receive specific training of table tennis. • Analyze the professional opinion on the suitability of table tennis in Primary Education taking into account the objectives pursued, to develop the skills, content, evaluation criteria and learning standards that can work and injuries involved. Methodology The investigation was characterized by using an inductive methodology, arising from the professional experience of the author, was also transverse to analyze reality in a particular time and quantitative type. The population under study were all the state schools in Madrid region, being the physical education teachers responsible for providing the requested data. These data were obtained using as data collection instrument a self-administered questionnaire with multiple choice questions, because it facilitates the analysis thereof. In terms of obtained data, on a population of 798 schools, a sample of 276 was achieved, this represented a response rate of 34.59%, assuming the worst case scenario (p = q) and a level 95% confidence for the total of the 276 completed questionnaires, the maximum error was ± 4.78%. Results In terms of the results, they were set according to three dimensions: center level, professorate level and Sport level and trying to find out whether the five objectives were achieved. After analyzing the results, it was found that schools possessed sufficient facilities for table tennis, however, lacked specific materials and training by teachers, as well as teaching resources and a program to promote table tennis. A clear interest was noticed by teachers in order to receive specific training in table tennis since most recommended the use of table tennis in the subject of physical education in primary education. Finally, the results proved the number of motor, affective, cognitive and social objectives developed by table tennis and its contribution to the acquisition of basic skills and the objective "k" of primary education, in addition to the low rate of injury it causes. Discussion and conclusions Table tennis is an ideal sport to be practiced and taught in the subject of Physical Education in Primary Education due to the large amount of content that are likely to be worked through this sport and due to the large number of individual and social values that can foster the practice of table tennis. The causes of that so far, table tennis is not a sport practiced regularly in schools despite working many specific contents of the subject of Physical Education may be due to factors outside the sport of table tennis and subject to solved with adequate investment in specific materials, teacher training and educational resources. By endowing the centers with the necessary teaching materials and resources and providing training to teachers, they would introduce teaching units of table tennis within their annual programs. Madrid and the Spanish Federation of table tennis should develop a promotional program by endowing materials and resources to the centers, as did other federations such as badminton and basketball, among others.

Assessing the Single Supervisory Mechanism: passing the point of no return for Europe's banking union. Egmont Paper No. 58, June 2013

From the Executive Summary. Europe’s financial and sovereign debt crises have become increasingly interconnected. In order to break the negative feedback loop between the two, the EU has decided to create a common supervisory framework for the banking sector: the Single Supervisory Mechanism (SSM). The SSM will involve a supervisory system including both the national supervisors and the European Central Bank (ECB). By endowing the ECB with supervisory authority over a major part of the European banking sector, the SSM’s creation will result in a shake-up of the way in which the European financial sector is being supervised. Under the right circumstances, this could be a major step forward in addressing Europe’s interconnected crises.

The Impact of Relationship Conflict on subjective Family Firm Valuation

The present paper empirically investigates the impact of family relationship conflict on subjective firm valuation by family firm owner managers. Drawing on the emerging socioemotional wealth perspective of corporate ownership, we find a U-shaped relationship between relationship conflict inside the family firm and subjective family firm valuation. This finding suggests that negatively valenced emotions induced by the conflict, at low levels of conflict, lead to emotion congruent withdrawal behavior and hence lower valuation. With conflicts gaining in fervor and severity, owner-managers start endowing and pricing sunk costs related to the conflict. This finding suggests that emotions do indeed have spill-over effects on monetary value perceptions and that negatively valenced emotions induced by relationship conflict are not linearly appraised. Rather, to understand the impact of negative emotions on corporate ownership appraisal and attachment it is required to reconcile the emotion congruency with the prospect theory perspective.

Specialization in pyramidal cell structure in the sensory-motor cortex of the vervet monkey (Cercopethicus pygerythrus)

Recent studies have revealed systematic differences in the pyramidal cell structure between functionally related cortical areas of primates. Trends for a parallel in pyramidal cell structure and functional complexity have been reported in visual, somatosensory, motor, cingulate and prefrontal cortex in the macaque monkey cortex. These specializations in structure have been interpreted as being fundamental in determining cellular and systems function, endowing circuits in these different cortical areas with different computational power. In the present study we extend our initial finding of systematic specialization of pyramidal cell structure in sensory-motor cortex in the macaque monkey [Cereb Cortex 12 (2002) 1071] to the vervet monkey. More specifically, we investigated pyramidal cell structure in somatosensory and motor areas 1/2, 5, 7, 4 and 6. Neurones in fixed, flat-mounted, cortical slices were injected intracellularly with Lucifer Yellow and processed for a light-stable 3,3'-diaminobenzidine reaction product. The size of, number of branches in, and spine density of the basal dendritic arbors varied systematically such that there was a trend for increasing complexity in arbor structure with progression through 1/2, 5 and 7. In addition, cells in area 6 were larger, more branched, and more spinous than those in area 4. (c) 2005 IBRO. Published by Elsevier Ltd. All rights reserved.

Requirements reflection:requirements as runtime entities

Computational reflection is a well-established technique that gives a program the ability to dynamically observe and possibly modify its behaviour. To date, however, reflection is mainly applied either to the software architecture or its implementation. We know of no approach that fully supports requirements reflection- that is, making requirements available as runtime objects. Although there is a body of literature on requirements monitoring, such work typically generates runtime artefacts from requirements and so the requirements themselves are not directly accessible at runtime. In this paper, we define requirements reflection and a set of research challenges. Requirements reflection is important because software systems of the future will be self-managing and will need to adapt continuously to changing environmental conditions. We argue requirements reflection can support such self-adaptive systems by making requirements first-class runtime entities, thus endowing software systems with the ability to reason about, understand, explain and modify requirements at runtime. © 2010 ACM.

Bayesian Inference in Large-scale Problems

Many modern applications fall into the category of "large-scale" statistical problems, in which both the number of observations n and the number of features or parameters p may be large. Many existing methods focus on point estimation, despite the continued relevance of uncertainty quantification in the sciences, where the number of parameters to estimate often exceeds the sample size, despite huge increases in the value of n typically seen in many fields. Thus, the tendency in some areas of industry to dispense with traditional statistical analysis on the basis that "n=all" is of little relevance outside of certain narrow applications. The main result of the Big Data revolution in most fields has instead been to make computation much harder without reducing the importance of uncertainty quantification. Bayesian methods excel at uncertainty quantification, but often scale poorly relative to alternatives. This conflict between the statistical advantages of Bayesian procedures and their substantial computational disadvantages is perhaps the greatest challenge facing modern Bayesian statistics, and is the primary motivation for the work presented here.

Two general strategies for scaling Bayesian inference are considered. The first is the development of methods that lend themselves to faster computation, and the second is design and characterization of computational algorithms that scale better in n or p. In the first instance, the focus is on joint inference outside of the standard problem of multivariate continuous data that has been a major focus of previous theoretical work in this area. In the second area, we pursue strategies for improving the speed of Markov chain Monte Carlo algorithms, and characterizing their performance in large-scale settings. Throughout, the focus is on rigorous theoretical evaluation combined with empirical demonstrations of performance and concordance with the theory.

One topic we consider is modeling the joint distribution of multivariate categorical data, often summarized in a contingency table. Contingency table analysis routinely relies on log-linear models, with latent structure analysis providing a common alternative. Latent structure models lead to a reduced rank tensor factorization of the probability mass function for multivariate categorical data, while log-linear models achieve dimensionality reduction through sparsity. Little is known about the relationship between these notions of dimensionality reduction in the two paradigms. In Chapter 2, we derive several results relating the support of a log-linear model to nonnegative ranks of the associated probability tensor. Motivated by these findings, we propose a new collapsed Tucker class of tensor decompositions, which bridge existing PARAFAC and Tucker decompositions, providing a more flexible framework for parsimoniously characterizing multivariate categorical data. Taking a Bayesian approach to inference, we illustrate empirical advantages of the new decompositions.

Latent class models for the joint distribution of multivariate categorical, such as the PARAFAC decomposition, data play an important role in the analysis of population structure. In this context, the number of latent classes is interpreted as the number of genetically distinct subpopulations of an organism, an important factor in the analysis of evolutionary processes and conservation status. Existing methods focus on point estimates of the number of subpopulations, and lack robust uncertainty quantification. Moreover, whether the number of latent classes in these models is even an identified parameter is an open question. In Chapter 3, we show that when the model is properly specified, the correct number of subpopulations can be recovered almost surely. We then propose an alternative method for estimating the number of latent subpopulations that provides good quantification of uncertainty, and provide a simple procedure for verifying that the proposed method is consistent for the number of subpopulations. The performance of the model in estimating the number of subpopulations and other common population structure inference problems is assessed in simulations and a real data application.

In contingency table analysis, sparse data is frequently encountered for even modest numbers of variables, resulting in non-existence of maximum likelihood estimates. A common solution is to obtain regularized estimates of the parameters of a log-linear model. Bayesian methods provide a coherent approach to regularization, but are often computationally intensive. Conjugate priors ease computational demands, but the conjugate Diaconis--Ylvisaker priors for the parameters of log-linear models do not give rise to closed form credible regions, complicating posterior inference. In Chapter 4 we derive the optimal Gaussian approximation to the posterior for log-linear models with Diaconis--Ylvisaker priors, and provide convergence rate and finite-sample bounds for the Kullback-Leibler divergence between the exact posterior and the optimal Gaussian approximation. We demonstrate empirically in simulations and a real data application that the approximation is highly accurate, even in relatively small samples. The proposed approximation provides a computationally scalable and principled approach to regularized estimation and approximate Bayesian inference for log-linear models.

Another challenging and somewhat non-standard joint modeling problem is inference on tail dependence in stochastic processes. In applications where extreme dependence is of interest, data are almost always time-indexed. Existing methods for inference and modeling in this setting often cluster extreme events or choose window sizes with the goal of preserving temporal information. In Chapter 5, we propose an alternative paradigm for inference on tail dependence in stochastic processes with arbitrary temporal dependence structure in the extremes, based on the idea that the information on strength of tail dependence and the temporal structure in this dependence are both encoded in waiting times between exceedances of high thresholds. We construct a class of time-indexed stochastic processes with tail dependence obtained by endowing the support points in de Haan's spectral representation of max-stable processes with velocities and lifetimes. We extend Smith's model to these max-stable velocity processes and obtain the distribution of waiting times between extreme events at multiple locations. Motivated by this result, a new definition of tail dependence is proposed that is a function of the distribution of waiting times between threshold exceedances, and an inferential framework is constructed for estimating the strength of extremal dependence and quantifying uncertainty in this paradigm. The method is applied to climatological, financial, and electrophysiology data.

The remainder of this thesis focuses on posterior computation by Markov chain Monte Carlo. The Markov Chain Monte Carlo method is the dominant paradigm for posterior computation in Bayesian analysis. It has long been common to control computation time by making approximations to the Markov transition kernel. Comparatively little attention has been paid to convergence and estimation error in these approximating Markov Chains. In Chapter 6, we propose a framework for assessing when to use approximations in MCMC algorithms, and how much error in the transition kernel should be tolerated to obtain optimal estimation performance with respect to a specified loss function and computational budget. The results require only ergodicity of the exact kernel and control of the kernel approximation accuracy. The theoretical framework is applied to approximations based on random subsets of data, low-rank approximations of Gaussian processes, and a novel approximating Markov chain for discrete mixture models.

Data augmentation Gibbs samplers are arguably the most popular class of algorithm for approximately sampling from the posterior distribution for the parameters of generalized linear models. The truncated Normal and Polya-Gamma data augmentation samplers are standard examples for probit and logit links, respectively. Motivated by an important problem in quantitative advertising, in Chapter 7 we consider the application of these algorithms to modeling rare events. We show that when the sample size is large but the observed number of successes is small, these data augmentation samplers mix very slowly, with a spectral gap that converges to zero at a rate at least proportional to the reciprocal of the square root of the sample size up to a log factor. In simulation studies, moderate sample sizes result in high autocorrelations and small effective sample sizes. Similar empirical results are observed for related data augmentation samplers for multinomial logit and probit models. When applied to a real quantitative advertising dataset, the data augmentation samplers mix very poorly. Conversely, Hamiltonian Monte Carlo and a type of independence chain Metropolis algorithm show good mixing on the same dataset.

Local government revenue from oil and gas production

Oil and gas production generates substantial revenue for state and local governments. This report examines revenue from oil and gas production flowing to local governments through four mechanisms: (i) state taxes or fees on oil and gas production; (ii) local property taxes on oil and gas property; (iii) leasing of state-owned land; and (iv) leasing of federally owned land. We examine every major oil- and gas-producing state and find that the share of oil and gas production value allocated to and collected by local governments ranges widely, from 0.5 percent to more than 9 percent due to numerous policy differences among states. School districts and trust funds endowing future school operations tend to see the highest share of revenue, followed by counties. Municipalities and other local governments with more limited geographic boundaries tend to receive smaller shares of oil and gas driven revenue. Some states utilize grant programs to allocate revenue to where impacts from the industry are greatest. Others send most revenue to state operating or trust funds, with little revenue earmarked specifically for local governments.

Assessing the Role of General Chemistry Learning in Higher Education

The inclusion of General Chemistry (GC) in the curricula of higher education courses in science and technology aims, on the one hand, to develop students' skills necessary for further studies and, on the other hand, to respond to the need of endowing future professionals of knowledge to analyze and solve multidisciplinary problems in a sustainable way. The participation of students in the evaluation of the role played by the GC in their training is crucial, and the analysis of the results can be an essential tool to increase success in the education of students and improving practices in various professions. Undeniably, this work will be focused on the development of an intelligent system to assess the role of GC. The computational framework is built on top of a Logic Programming approach to Knowledge Representation and Reasoning, complemented with a problem solving methodology moored on Artificial Neural Networks. The results so far obtained show that the proposed model stands for a good start, being its overall accuracy higher than 95%.