The facility manager architect : the social responsability as an added value.

From the very first steps to execute a building, it is essential to analyze its life cycle. Similarly, we should consider the life cycle when projecting an urban intervention. Professionals of the Facility Management take part in construction projects, developing and managing DBFMO projects (Design, Build, Finance, Maintenance & Operate). Whatever the nature of the promoter is – private or public – promoters are leaders in projects of responsible management of spaces, whether these are work spaces, leisure spaces or residential spaces. They know and identify with the company and its performance, its values and its needs. These professionals give sustainable solutions in the life cycle of buildings (offices and housing), new ways to work and initiatives of innovations linked to current social changes: technology, social networks, and new habits. Concepts where innovation is essential should consider responsible values. Social, economic and sustainable aspects have to associate with the management performed by a Facilities Manager when considering the three groups of stakeholders with which it is linked: economic (shareholders), contractual (users), non-contractual (neighborhoods, organizations, etc.). Marcus Vitruvius Pollio, at the beginning of his book "The Ten Books on Architecture" describes and argues how the distribution in buildings must always adapt to their inhabitants. Let us build cities and buildings with responsible criteria, bearing in mind all its users and the needs of each one of them. Not to mention the need to adapt to future requirements with minimum cost and maximum profitability. These needs, under responsible management, are competencies developed by a Facilities Manager in his day to day. He cares and takes over the entire life cycle of buildings and their surroundings. This work is part of the PhD project whose main aim is to study the added value to the architectural profession when social responsibility criteria are applied in his/her role as Facility Manager.

Localization and Tracking in Energy-Constrained Networks with Dynamic Connectivity

Systems used for target localization, such as goods, individuals, or animals, commonly rely on operational means to meet the final application demands. However, what would happen if some means were powered up randomly by harvesting systems? And what if those devices not randomly powered had their duty cycles restricted? Under what conditions would such an operation be tolerable in localization services? What if the references provided by nodes in a tracking problem were distorted? Moreover, there is an underlying topic common to the previous questions regarding the transfer of conceptual models to reality in field tests: what challenges are faced upon deploying a localization network that integrates energy harvesting modules? The application scenario of the system studied is a traditional herding environment of semi domesticated reindeer (Rangifer tarandus tarandus) in northern Scandinavia. In these conditions, information on approximate locations of reindeer is as important as environmental preservation. Herders also need cost-effective devices capable of operating unattended in, sometimes, extreme weather conditions. The analyses developed are worthy not only for the specific application environment presented, but also because they may serve as an approach to performance of navigation systems in absence of reasonably accurate references like the ones of the Global Positioning System (GPS). A number of energy-harvesting solutions, like thermal and radio-frequency harvesting, do not commonly provide power beyond one milliwatt. When they do, battery buffers may be needed (as it happens with solar energy) which may raise costs and make systems more dependent on environmental temperatures. In general, given our problem, a harvesting system is needed that be capable of providing energy bursts of, at least, some milliwatts. Many works on localization problems assume that devices have certain capabilities to determine unknown locations based on range-based techniques or fingerprinting which cannot be assumed in the approach considered herein. The system presented is akin to range-free techniques, but goes to the extent of considering very low node densities: most range-free techniques are, therefore, not applicable. Animal localization, in particular, uses to be supported by accurate devices such as GPS collars which deplete batteries in, maximum, a few days. Such short-life solutions are not particularly desirable in the framework considered. In tracking, the challenge may times addressed aims at attaining high precision levels from complex reliable hardware and thorough processing techniques. One of the challenges in this Thesis is the use of equipment with just part of its facilities in permanent operation, which may yield high input noise levels in the form of distorted reference points. The solution presented integrates a kinetic harvesting module in some nodes which are expected to be a majority in the network. These modules are capable of providing power bursts of some milliwatts which suffice to meet node energy demands. The usage of harvesting modules in the aforementioned conditions makes the system less dependent on environmental temperatures as no batteries are used in nodes with harvesters--it may be also an advantage in economic terms. There is a second kind of nodes. They are battery powered (without kinetic energy harvesters), and are, therefore, dependent on temperature and battery replacements. In addition, their operation is constrained by duty cycles in order to extend node lifetime and, consequently, their autonomy. There is, in turn, a third type of nodes (hotspots) which can be static or mobile. They are also battery-powered, and are used to retrieve information from the network so that it is presented to users. The system operational chain starts at the kinetic-powered nodes broadcasting their own identifier. If an identifier is received at a battery-powered node, the latter stores it for its records. Later, as the recording node meets a hotspot, its full record of detections is transferred to the hotspot. Every detection registry comprises, at least, a node identifier and the position read from its GPS module by the battery-operated node previously to detection. The characteristics of the system presented make the aforementioned operation own certain particularities which are also studied. First, identifier transmissions are random as they depend on movements at kinetic modules--reindeer movements in our application. Not every movement suffices since it must overcome a certain energy threshold. Second, identifier transmissions may not be heard unless there is a battery-powered node in the surroundings. Third, battery-powered nodes do not poll continuously their GPS module, hence localization errors rise even more. Let's recall at this point that such behavior is tight to the aforementioned power saving policies to extend node lifetime. Last, some time is elapsed between the instant an identifier random transmission is detected and the moment the user is aware of such a detection: it takes some time to find a hotspot. Tracking is posed as a problem of a single kinetically-powered target and a population of battery-operated nodes with higher densities than before in localization. Since the latter provide their approximate positions as reference locations, the study is again focused on assessing the impact of such distorted references on performance. Unlike in localization, distance-estimation capabilities based on signal parameters are assumed in this problem. Three variants of the Kalman filter family are applied in this context: the regular Kalman filter, the alpha-beta filter, and the unscented Kalman filter. The study enclosed hereafter comprises both field tests and simulations. Field tests were used mainly to assess the challenges related to power supply and operation in extreme conditions as well as to model nodes and some aspects of their operation in the application scenario. These models are the basics of the simulations developed later. The overall system performance is analyzed according to three metrics: number of detections per kinetic node, accuracy, and latency. The links between these metrics and the operational conditions are also discussed and characterized statistically. Subsequently, such statistical characterization is used to forecast performance figures given specific operational parameters. In tracking, also studied via simulations, nonlinear relationships are found between accuracy and duty cycles and cluster sizes of battery-operated nodes. The solution presented may be more complex in terms of network structure than existing solutions based on GPS collars. However, its main gain lies on taking advantage of users' error tolerance to reduce costs and become more environmentally friendly by diminishing the potential amount of batteries that can be lost. Whether it is applicable or not depends ultimately on the conditions and requirements imposed by users' needs and operational environments, which is, as it has been explained, one of the topics of this Thesis.

Active learning and generic competences in an operating systems course

The Bologna Declaration and the implementation of the European Higher Education Area are promoting the use of active learning methodologies. The aim of this study is to evaluate the effects obtained after applying active learning methodologies to the achievement of generic competences as well as to the academic performance. This study has been carried out at the Universidad Politécnica de Madrid, where these methodologies have been applied to the Operating Systems I subject of the degree in Technical Engineering in Computer Systems. The fundamental hypothesis tested was whether the implementation of active learning methodologies (cooperative learning and problem based learning) favours the achievement of certain generic competences (‘teamwork’ and ‘planning and time management’) and also whether this fact improved the academic performance of our students. The original approach of this work consists in using psychometric tests to measure the degree of acquired student’s generic competences instead of using opinion surveys, as usual. Results indicated that active learning methodologies improve the academic performance when compared to the traditional lecture/discussion method, according to the success rate obtained. These methods seem to have as well an effect on the teamwork competence (the perception of the behaviour of the other members in the group) but not on the perception of each students’ behaviour. Active learning does not produce any significant change in the generic competence ‘planning and time management'.

Business models in the Smart Grid: challenges, opportunities and proposals for prosumer profitability.

Considering that non-renewable energy resources are dwindling, the smart grid turns out to be one of the most promising and compelling systems for the future of energy. Not only does it combine efficient energy consumption with avant-garde technologies related to renewable energies, but it is also capable of providing several beneficial utilities, such as power monitoring and data provision. When smart grid end users turn into prosumers, they become arguably the most important value creators within the smart grid and a decisive agent of change in terms of electricity usage. There is a plethora of research and development areas related to the smart grid that can be exploited for new business opportunities, thus spawning another branch of the so-called ?green economy? focused on turning smart energy usage into a profitable business. This paper deals with emerging business models for smart grid prosumers, their strengths and weaknesses and puts forward new prosumer-oriented business models, along with their value propositions.

Let's Gain More Confidence Of Clinicians With Our Colorful Contours: Blood Flow Simulation In Arteries Using Abaqus & STAR-CCM+

The objective of the current work is to present the results of several numerical simulations of pulsatile blood flow in healthy and diseased arteries and compare with clinical expectations. Different realistic and physiological aspects such as blood flow interaction with arterial walls, effect of heart movement, cardiovascular autoregulation, arterial walls' hyperelasticity and cardiovascular disorders have been incorporated in the models thanks to a direct coupling of Abaqus and STAR-CCM+. Comparisons of implicit and explicit coupling methods in cardiovascular simulations have been discussed. An in-house methodology combined with explicit FSI coupling has reduced considerably calculation time while the simulations stay realistic and reliable for clinicians

Characterisation of the operation & maintenance phase in PV rural electrification programmes

Con 1.300 millones de personas en el mundo sin acceso a la electricidad (la mayoría en entornos rurales de países empobrecidos), la energía solar fotovoltaica constituye una solución viable técnica y económicamente para electrificar las zonas más remotas del planeta donde las redes eléctricas convencionales no llegan. Casi todos los países en el mundo han desarrollado algún tipo de programa de electrificación fotovoltaica rural durante los últimos 40 años, principalmente los países más pobres, donde a través de diferentes modelos de financiación, se han instalado millones de sistemas solares domiciliarios (pequeños sistemas fotovoltaicos para uso doméstico). Durante este largo período, se han ido superando muchas barreras, como la mejora de la calidad de los sistemas fotovoltaicos, la reducción de costes, la optimización del diseño y del dimensionado de los sistemas, la disponibilidad financiera para implantar programas de electrificación rural, etc. Gracias a esto, la electrificación rural descentralizada ha experimentado recientemente un salto de escala caracterizada por la implantación de grandes programas con miles de sistemas solares domiciliarios e integrando largos períodos de mantenimiento. Muchos de estos grandes programas se están llevando a cabo con limitado éxito, ya que generalmente parten de supuestos e hipótesis poco contrastadas con la realidad, comprometiendo así un retorno económico que permita el desarrollo de esta actividad a largo plazo. En este escenario surge un nuevo reto: el de cómo garantizar la sostenibilidad de los grandes programas de electrificación rural fotovoltaica. Se argumenta que la principal causa de esta falta de rentabilidad es el imprevisto alto coste de la fase de operación y mantenimiento. Cuestiones clave tales como la estructura de costes de operación y mantenimiento o la fiabilidad de los componentes del sistema fotovoltaico no están bien caracterizados hoy en día. Esta situación limita la capacidad de diseñar estructuras de mantenimiento capaces de asegurar la sostenibilidad y la rentabilidad del servicio de operación y mantenimiento en estos programas. Esta tesis doctoral tiene como objetivo responder a estas cuestiones. Se ha realizado varios estudios sobre la base de un gran programa de electrificación rural fotovoltaica real llevado a cabo en Marruecos con más de 13.000 sistemas solares domiciliarios instalados. Sobre la base de este programa se ha hecho una evaluación en profundidad de la fiabilidad de los sistemas solares a partir de los datos de mantenimiento recogidos durante 5 años con más de 80.000 inputs. Los resultados han permitido establecer las funciones de fiabilidad de los equipos tal y como se comportan en condiciones reales de operación, las tasas de fallos y los tiempos medios hasta el fallo para los principales componentes del sistema, siendo este el primer caso de divulgación de resultados de este tipo en el campo de la electrificación rural fotovoltaica. Los dos principales componentes del sistema solar domiciliario, la batería y el módulo fotovoltaico, han sido analizados en campo a través de una muestra de 41 sistemas trabajando en condiciones reales pertenecientes al programa solar marroquí. Por un lado se ha estudiado la degradación de la capacidad de las baterías y por otro la degradación de potencia de los módulos fotovoltaicos. En el caso de las baterías, los resultados nos han permitido caracterizar la curva de degradación en capacidad llegando a obtener una propuesta de nueva definición del umbral de vida útil de las baterías en electrificación rural. También sobre la base del programa solar de Marruecos se ha llevado a cabo un estudio de caracterización de los costes reales de operación y mantenimiento a partir de la base de datos de contabilidad del programa registrados durante 5 años. Los resultados del estudio han permitido definir cuáles son costes que más incidencia tienen en el coste global. Se han obtenido los costes unitarios por sistema instalado y se han calculado los montantes de las cuotas de mantenimiento de los usuarios para garantizar la rentabilidad de la operación y mantenimiento. Finalmente, se propone un modelo de optimización matemática para diseñar estructuras de mantenimiento basado en los resultados de los estudios anteriores. La herramienta, elaborada mediante programación lineal entera mixta, se ha aplicado al programa marroquí con el fin de validar el modelo propuesto. ABSTRACT With 1,300 million people worldwide deprived of access to electricity (mostly in rural environments), photovoltaic solar energy has proven to be a cost‐effective solution and the only hope for electrifying the most remote inhabitants of the planet, where conventional electric grids do not reach because they are unaffordable. Almost all countries in the world have had some kind of rural photovoltaic electrification programme during the past 40 years, mainly the poorer countries, where through different organizational models, millions of solar home systems (small photovoltaic systems for domestic use) have been installed. During this long period, many barriers have been overcome, such as quality enhancement, cost reduction, the optimization of designing and sizing, financial availability, etc. Thanks to this, decentralized rural electrification has recently experienced a change of scale characterized by new programmes with thousands of solar home systems and long maintenance periods. Many of these large programmes are being developed with limited success, as they have generally been based on assumptions that do not correspond to reality, compromising the economic return that allows long term activity. In this scenario a new challenge emerges, which approaches the sustainability of large programmes. It is argued that the main cause of unprofitability is the unexpected high cost of the operation and maintenance of the solar systems. In fact, the lack of a paradigm in decentralized rural services has led to many private companies to carry out decentralized electrification programmes blindly. Issues such as the operation and maintenance cost structure or the reliability of the solar home system components have still not been characterized. This situation does not allow optimized maintenance structure to be designed to assure the sustainability and profitability of the operation and maintenance service. This PhD thesis aims to respond to these needs. Several studies have been carried out based on a real and large photovoltaic rural electrification programme carried out in Morocco with more than 13,000 solar home systems. An in‐depth reliability assessment has been made from a 5‐year maintenance database with more than 80,000 maintenance inputs. The results have allowed us to establish the real reliability functions, the failure rate and the main time to failure of the main components of the system, reporting these findings for the first time in the field of rural electrification. Both in‐field experiments on the capacity degradation of batteries and power degradation of photovoltaic modules have been carried out. During the experiments both samples of batteries and modules were operating under real conditions integrated into the solar home systems of the Moroccan programme. In the case of the batteries, the results have enabled us to obtain a proposal of definition of death of batteries in rural electrification. A cost assessment of the Moroccan experience based on a 5‐year accounting database has been carried out to characterize the cost structure of the programme. The results have allowed the major costs of the photovoltaic electrification to be defined. The overall cost ratio per installed system has been calculated together with the necessary fees that users would have to pay to make the operation and maintenance affordable. Finally, a mathematical optimization model has been proposed to design maintenance structures based on the previous study results. The tool has been applied to the Moroccan programme with the aim of validating the model.

Optimization methods for the operating room management under uncertainty: stochastic programming vs. decomposition approach

The operating theatres are the engine of the hospitals; proper management of the operating rooms and its staff represents a great challenge for managers and its results impact directly in the budget of the hospital. This work presents a MILP model for the efficient schedule of multiple surgeries in Operating Rooms (ORs) during a working day. This model considers multiple surgeons and ORs and different types of surgeries. Stochastic strategies are also implemented for taking into account the uncertain in surgery durations (pre-incision, incision, post-incision times). In addition, a heuristic-based methods and a MILP decomposition approach is proposed for solving large-scale ORs scheduling problems in computational efficient way. All these computer-aided strategies has been implemented in AIMMS, as an advanced modeling and optimization software, developing a user friendly solution tool for the operating room management under uncertainty.

Gestión de dispositivos integrados en una Arquitectura de la Red de las Cosas

La Arquitectura de la Red de las Cosas (IoT) hace referencia a una red de objetos cotidianos interconectados digitalmente. Gracias a IoT, no sólo podemos almacenar, analizar e intercambiar información y datos con dichos objetos, sino que además ellos pueden tener la capacidad de interactuar entre ellos de forma autónoma. Para ellos, los objetos cotidianos disponen de actuadores y sensores que permiten modificar su comportamiento y conocer su estado y propiedades, respectivamente. La gestión de IoT combina todas las funcionalidades necesarias para coordinar un sistema con una Arquitectura de la Red de las Cosas. Una buena gestión del sistema puede reducir costes, mejorar la asistencia a problemas de uso inesperado, corregir fallos y permitir la escalabilidad del sistema permitiéndole la incorporación de nuevos módulos y funcionalidades. En este Proyecto Fin de Grado se realizará primero un análisis de los aspectos de IoT relacionados con la gestión de dispositivos integrados en la Arquitectura de la Red de las Cosas. Después se procederá a realizar la especificación y el diseño de plataforma de gestión. Y finalmente se desarrollarán un caso de uso que permita validar algunos elementos de la plataforma diseñada. Se realizarán distintas pruebas para comprobar una correcta gestión de los dispositivos como el correcto funcionamiento del diseño previamente establecido, por medio, entre otras, de las siguientes operaciones: listar los elementos conectados, posibilidad de obtener y/o modificar dichos elementos (su configuración y su estado) o presentar informes y comprobar el estado en el que se encuentran los dispositivos: operativos o no operativos. De tal forma, en esta memoria se plasma como se ha desarrollado la gestión de dispositivos integrados en un sistema con Arquitectura de la Red de las Cosas utilizando tanto plataformas Intel Galileo como Arduino. ABSTRACT. The Architecture of the Internet of Things (IoT) refers to a network of digitally interconnected everyday objects. With IoT, not only we can store, analyze and exchange information and data with objects, but they can also autonomously interact among them. To accomplish that, the everyday objects are made of actuators and sensors that let us act on their behavior and know their state and properties, respectively. Management of IoT combines all the functionalities needed for coordinating a system with an Architecture of the Internet of Things. A good management system can reduce faults, improve assistance to reduce unexpected problems, correct errors and allow the scalability of the system, allowing the addition of new modules and functionalities. In this Degree Final Project, an analysis about aspects of IoT related to the management of devices integrated into the Architecture of the Internet of things is carried out first. Then, the specification and the design of the management platform is made. Finally, a use case will be developed to validate some elements of the designed platform. Several tests will be run to check the correct management of the devices such as the proper functioning of the design previously established, requesting, among others, the following set of operations: list the connected elements, possibility to obtain or modify these elements (their configuration and their state) or reporting and checking which devices are operating or non-operating. So, in this memory it is explained how it has been carried out the management of devices integrated in a system with an Architecture of the Internet of Things (IoT), based on the Intel Galileo and Arduino platforms.

Estudio y diseño de un régimen fiscal que optimice la inversión en exploración y producción de hidrocarburos

Los regímenes fiscales que se aplican a los contratos de exploración y desarrollo de petróleo y gas, entre los propietarios del recurso natural (generalmente el país soberano representado por su gobierno) y las compañías operadoras internacionales (COI) que aportan capital, experiencia y tecnología, no han sabido responder a la reciente escalada de los precios del crudo y han dado lugar a que los países productores no estén recibiendo la parte de renta correspondiente al incremento de precios. Esto ha provocado una ola de renegociaciones llegándose incluso a la imposición unilateral de nuevos términos por parte de algunos gobiernos entre los que destacan el caso de Venezuela y Argentina, por ser los más radicales. El objetivo del presente trabajo es el estudio y diseño de un régimen fiscal que, en las actuales condiciones del mercado, consiga que los gobiernos optimicen sus ingresos incentivando la inversión. Para ello se simulan los efectos de siete tipos diferentes de fiscalidades aplicadas a dos yacimientos de características muy distintas y se valoran los resultados. El modelo utilizado para la simulación es el modelo de escenarios, ampliamente utilizado tanto por la comunidad académica como por la industria para comparar el comportamiento de diferentes regímenes fiscales. Para decidir cuál de las fiscalidades estudiadas es la mejor se emplea un método optimización multicriterio. Los criterios que se han aplicado para valorar los resultados recogen la opinión de expertos de la industria sobre qué factores se consideran deseables en un contrato a la hora invertir. El resultado permite delinear las características de un marco fiscal ideal del tipo acuerdo de producción compartida, sin royalties, con un límite alto de recuperación de crudo coste que permita recobrar todos los costes operativos y una parte de los de capital en cualquier escenario de precios, un reparto de los beneficios en función de un indicador de rentabilidad como es la TIR, con un mecanismo de recuperación de costes adicional (uplift) que incentive la inversión y con disposiciones que premien la exploración y más la de alto riesgo como la amortización acelerada de los gastos de capital o una ampliación de la cláusula de ringfence. Un contrato con estas características permitirá al gobierno optimizar los ingresos obtenidos de sus reservas de petróleo y gas maximizando la producción al atraer inversión para la exploración y mejorar la recuperación alargando la vida del yacimiento. Además al reducir el riesgo percibido por el inversor que recupera sus costes, menor será la rentabilidad exigida al capital invertido y por tanto mayor la parte de esos ingresos que irá a parar al gobierno del país productor. ABSTRACT Fiscal systems used in petroleum arrangements between the owners of the resource (usually a sovereign country represented by its government) and the international operating company (IOC) that provides capital, knowhow and technology, have failed to allocate profits from the recent escalation of oil prices and have resulted in producing countries not receiving the right share of that increase. This has caused a wave of renegotiations and even in some cases, like Venezuela and Argentina, government unilaterally imposed new terms. This paper aims to outline desirable features of a petroleum fiscal system, under current market conditions, for governments to maximize their revenues while encouraging investment. Firstly the impact of seven different types of fiscal regimes is studied with a simulation for two separate oil fields using the scenario approach. The scenario approach has been frequently employed by academic and business researchers to compare the performance of diverse fiscal regimes. In order to decide which of the fiscal regimes’ performance is best we used a multi-objective optimization decision making approach to assess the results. The criteria applied gather the preferences of a panel of industry experts about the desirable features of a contract when making investment decisions. The results show the characteristics of an ideal fiscal framework that closely resembles a production sharing contract, with no royalty payment and a high cost recovery limit that allows the IOC to recover all operating expenses and a share of its capital costs under any price scenario, a profit oil sharing mechanism based on a profitability indicator such as the ROR, with an uplift that allows to recover an additional percentage of capital costs and provisions that promote exploration investment, specially high-risk exploration, such as accelerated depreciation for capital costs and a wide definition of the ringfence clause. A contract with these features will allow governments to optimize overall revenues from its petroleum resources maximizing production by promoting investment on exploration and extending oil fields life. Also by reducing the investor’s perception of risk it will reduce the minimum return to capital required by the IOC and therefore it will increase the government share of those revenues.

Evidence for balancing selection operating at the het-c heterokaryon incompatibility locus in a group of filamentous fungi

In filamentous fungi, het loci (for heterokaryon incompatibility) are believed to regulate self/nonself-recognition during vegetative growth. As filamentous fungi grow, hyphal fusion occurs within an individual colony to form a network. Hyphal fusion can occur also between different individuals to form a heterokaryon, in which genetically distinct nuclei occupy a common cytoplasm. However, heterokaryotic cells are viable only if the individuals involved have identical alleles at all het loci. One het locus, het-c, has been characterized at the molecular level in Neurospora crassa and encodes a glycine-rich protein. In an effort to understand the role of this locus in filamentous fungi, we chose to study its evolution by analyzing het-c sequence variability in species within Neurospora and related genera. We determined that the het-c locus was polymorphic in a field population of N. crassa with close to equal frequency of each of the three allelic types. Different species and even genera within the Sordariaceae shared het-c polymorphisms, indicating that these polymorphisms originated in an ancestral species. Finally, an analysis of the het-c specificity region shows a high occurrence of nonsynonymous substitution. The persistence of allelic lineages, the nearly equal allelic distribution within populations, and the high frequency of nonsynonymous substitutions in the het-c specificity region suggest that balancing selection has operated to maintain allelic diversity at het-c. Het-c shares this particular evolutionary characteristic of departing from neutrality with other self/nonself-recognition systems such as major histocompatibility complex loci in mammals and the S (self-incompatibility) locus in angiosperms.

A hierarquia de preferência do consumidor em decisões de investimento financeiro

A literatura acadêmica sobre o comportamento do investidor financeiro é bastante escassa. A pesquisa sobre o processo de decisão, em geral, aborda tradeoffs na aquisição de produtos e pouco se discute o processo de decisão de investimento. Esta tese pretende contribuir para a redução deste gap ao discutir fatores determinantes para a tomada de decisão do investidor pessoal em produtos financeiros. A decisão de investimento é complexa, envolve, entre outros, o tradeoff entre renunciar o consumo presente pela possibilidade de maior bem estar no futuro. Adicionalmente, em muitas situações, existe possibilidade real de perda dos recursos financeiros investidos. Para investigar os percursos desta decisão foram realizadas entrevistas em profundidade com executivos ligados ao setor de fundos de investimento e ao de distribuição de produtos de investimento dos maiores bancos brasileiros atuantes no segmento de varejo. Os conhecimentos recolhidos e a revisão de literatura efetuada subsidiaram a elaboração do questionário de pesquisa aplicado em plataforma web junto a potenciais investidores. Os atributos rentabilidade, possibilidade de perda (proxy de risco), liquidez, taxa de administração e recomendação do gerente foram identificados como os mais relevantes para a decisão do investidor. Para construção dos estímulos e decomposição da utilidade da decisão foi utilizada a técnica conjoint based choice (CBC) que simula uma decisão real. Os resultados apontaram ser a recomendação do gerente o atributo mais importante para a formação da preferência por uma alternativa de investimento, resultado que, por si só, indica que fatores não racionais exercem influência na decisão. Estudou-se, então, o impacto da aversão ao risco e do estilo cognitivo do investidor. Os resultados denotam que os mais avessos e os mais intuitivos são mais suscetíveis à recomendação do gerente, mas que seus efeitos são independentes entre si. As evidências sugerem que os mais intuitivos utilizam o gerente para alcançar conforto cognitivo na decisão e que os mais avessos para mitigar a sensação de risco associada ao produto. Uma análise de cluster indicou ser possível segmentar a amostra em dois grupos, um mais propenso à recomendação do gerente e outro aos atributos do produto. A recomendação do gerente mostrou ser o atributo mais forte na distinção dos grupos. Os resultados indicam que uma segmentação de mercado baseada na propensão à recomendação do gerente pode ser efetiva para direcionar a construção de uma estratégia de relacionamento que busque incrementar os resultados de longo prazo.

Don’t Let Me Down: An Autoethnography of an Urban Teacher

Students in urban schools who are negatively impacted need stability and continuity the most. However, at least half of new teachers leave their profession within five years. In order for this situation to change, support is needed for new teachers and encouragement is needed for experienced teachers. The purpose of the study is to offer a first-hand description of factors that affect the profession of teaching and especially teachers who may be wondering how to stay in teaching for more than five years. Veteran teachers gain the opportunity to reflect, validate, and (probably) celebrate their own journey through this profession. This autoethnography uses my experience of a 29-year veteran teacher, who started with an alternative teaching license, to mirror what researchers have identified as key factors for sustainability and how they affected my continued commitment to teaching in urban schools. The following questions framed the study: 1. Why did I choose teaching as a career? 2. What supportive factors contributed to my decision to continue teaching in an urban school rather than leave the profession? 3. What internal and external struggles have I encountered in teaching and what strategies did I use to overcome them? 4. What beliefs and experiences led to my steadfast commitment to teaching in an urban setting? 5. How do I define success as an urban teacher? 6. What are the implications of my story for urban education? This autoethnography involves data collection and in-depth analysis of documents and artifacts that were generated during my teaching career as an urban educator. These documents and artifacts come from both internal and external sources. The study’s implications reach beyond teachers and include two sub-groups: teacher education programs and school administrators. The implication for teachers is the importance of a two-fold support system in order to thrive: first teachers need spiritual support and second they need to surround themselves with likeminded teachers. The implications for teacher education programs include making pre-service teachers aware of the realities of urban settings and provide them with resources, which could help overcome the attrition rate. Additionally, pre-service teachers need to know how to form credible relationships with their students. This study also reveals the important role that school principals play in the success of their teachers. First, principals are responsible for creating a positive school climate that promotes a professional learning community. Second, they need to establish relational trust in their building. Third, they need to nourish their staff both physically and emotionally. Finally, the implications of autoethnography for teachers and researchers are also discussed.

“Let the American potter be a professional amateur" Laura Anne Fry and the American art pottery movement

"Artist Laura Anne Fry blended the concepts of professional and amateur, and helped raise the merit of ceramics in the United States. Fry influenced American art pottery with her contributions to Rookwood Pottery of Cincinnati—changing the course of the company. Her successful experiments with decorating techniques helped Rookwood become a national leader in art pottery, and eventually led to over a decade of controversy between Fry and Rookwood"