Knowledge management framework based on brain models and human physiology

The life of humans and most living beings depend on sensation and perception for the best assessment of the surrounding world. Sensorial organs acquire a variety of stimuli that are interpreted and integrated in our brain for immediate use or stored in memory for later recall. Among the reasoning aspects, a person has to decide what to do with available information. Emotions are classifiers of collected information, assigning a personal meaning to objects, events and individuals, making part of our own identity. Emotions play a decisive role in cognitive processes as reasoning, decision and memory by assigning relevance to collected information. The access to pervasive computing devices, empowered by the ability to sense and perceive the world, provides new forms of acquiring and integrating information. But prior to data assessment on its usefulness, systems must capture and ensure that data is properly managed for diverse possible goals. Portable and wearable devices are now able to gather and store information, from the environment and from our body, using cloud based services and Internet connections. Systems limitations in handling sensorial data, compared with our sensorial capabilities constitute an identified problem. Another problem is the lack of interoperability between humans and devices, as they do not properly understand human’s emotional states and human needs. Addressing those problems is a motivation for the present research work. The mission hereby assumed is to include sensorial and physiological data into a Framework that will be able to manage collected data towards human cognitive functions, supported by a new data model. By learning from selected human functional and behavioural models and reasoning over collected data, the Framework aims at providing evaluation on a person’s emotional state, for empowering human centric applications, along with the capability of storing episodic information on a person’s life with physiologic indicators on emotional states to be used by new generation applications.

CEO overconfidence and leverage ratio: Evidence from the founder members of Mila

The study investigates the impact of the managerial overconfidence bias on the capital structure of a sample of 78 firms from Chile, Peru and Colombia, during the years 1996-2014. We infer that there is a positive relation between the leverage ratio and a) the overconfidence; b) the experience and c) the male gender of the executive. Overconfidence is measured according to the status of the CEO (entrepreneur or not-entrepreneur) and the hypotheses are tested through dynamic panel data model. The empirical results show a highly significant positive correlation between overconfidence and leverage ratio and between gender and leverage ratio while, in contrast, the relation between experience and leverage ratio is negative.

Column-based databases: estudo exploratório no âmbito das bases de dados NoSQL

Dissertação de mestrado integrado em Engenharia e Gestão de Sistemas de Informação

Document-based databases: estudo comparativo no âmbito das bases de dados NoSql

Dissertação de mestrado integrado em Engenharia e Gestão de Sistemas de Informação

Multi-scale support vector algorithms for hot spot detection and modelling

The algorithmic approach to data modelling has developed rapidly these last years, in particular methods based on data mining and machine learning have been used in a growing number of applications. These methods follow a data-driven methodology, aiming at providing the best possible generalization and predictive abilities instead of concentrating on the properties of the data model. One of the most successful groups of such methods is known as Support Vector algorithms. Following the fruitful developments in applying Support Vector algorithms to spatial data, this paper introduces a new extension of the traditional support vector regression (SVR) algorithm. This extension allows for the simultaneous modelling of environmental data at several spatial scales. The joint influence of environmental processes presenting different patterns at different scales is here learned automatically from data, providing the optimum mixture of short and large-scale models. The method is adaptive to the spatial scale of the data. With this advantage, it can provide efficient means to model local anomalies that may typically arise in situations at an early phase of an environmental emergency. However, the proposed approach still requires some prior knowledge on the possible existence of such short-scale patterns. This is a possible limitation of the method for its implementation in early warning systems. The purpose of this paper is to present the multi-scale SVR model and to illustrate its use with an application to the mapping of Cs137 activity given the measurements taken in the region of Briansk following the Chernobyl accident.

Recruitment and retention incentives in health labour markets: an analysis of participation in NHS Scotland following Dental Vocational

This paper uses a unique individual level administrative data set to analyse the participation of health professionals in the NHS after training. The data set contains information on over 1,000 dentists who received Dental Vocational Training in Scotland between 1995 and 2006. Using a dynamic nonlinear panel data model, we estimate the determinants of post-training participation. We nd there is signi cant persistence in these data and are able to show that the persistence arises from state dependence and individual heterogeneity. This finding has implications for the structure of policies designed to increase participation rates. We apply this empirical framework to assess the accuracy of predictions for workforce forecasting, and to provide a preliminary estimate of the impact of one of the recruitment and retention policies available to dentists in Scotland.

Estudio, análisis y mejora de un sistema de gestión de expedientes

El proyecto consistió en el estudio, propuesta y realización de una serie de mejoras derivadas del análisis de un sistema de gestión de expedientes. El sistema analizado es SEDAS, un producto de gestión de los procesos de recobro de deudas desarrollado por Steria. Las mejoras se concentraron en la parametrización y mejora de diversos apartados tales como el modelo de datos, el sistema de generación de informes o la interfaz gráfica.

Generació de codi amb WebRatio

L'objectiu d'aquest PFC és la implementació d'una eina que s'encarregui de transformar un model de dades en un model de navegació complet i correcte. Per fer-ho, el programa WebRatio suporta completament el llenguatge WebML i s'utilitzarà com a dissenyador dels models de dades i també com a eina per comprovar els models de navegació generats.

Sistema gestor d'empresa d'excavacions

El següent document recull la documentació tècnica generada durant el desenvolupament del Sistema gestor d'empresa d'excavacions amb tecnologia J2EE i el conjunt de decisions que s'han pres per a portar-lo a terme en el termini previst.Aquest, es divideix principalment en 9 capítols:El primer, en el que es defineixen les característiques principals per a la gestió del projecte.En el segon recull els requeriments, l'anàlisi i el disseny del mateix projecte,acompanyats dels respectius diagrames de casos d'ús i de seqüència.En el tercer es descriu el model de dades utilitzat.El quart està format pel model físic del sistema on es defineix la arquitectura, lescaracterístiques tècniques principals del sistema i de la seva implementació, i les decisions adoptades durant el desenvolupament.El cinquè és un recull dels canvis realitzats sobre el disseny original.El sisè està dedicat a les proves de testeig realitzades un cop finalitzat el desenvolupament.El setè, és un manual d'instal·lació, on es descriuen les especificacions necessàries i els passos a seguir per a poder-lo desplegar.En el vuitè es fa una breu valoració econòmica de l'aplicació conjuntament amb un estudi d'oportunitat.I el novè, on es descriuen les conclusions sobre la realització d'aquest treball de final de carrera.

Creació magatzem de dades de planificació hidrològica

La primera part del projecte consisteix en la definició tant de les dimensions i atributs com dels indicadors del model de dades i per això caldrà: analitzar en detall les dades proporcionades pel nostre client i les seves peticions d´informació. A continuació es dissenya i es crea un magatzem de dades fent servir Oracle Express. Aquest magatzem de dades s'alimentarà amb les dades prèviament transformades, per a adaptar-les a l'estructura necessària per la seva càrrega (Procés ETL). Per últim es creen els diferents informes i gràfics. Aquesta part del projecte és la que realment aporta un valor afegit al nostre client doncs l'ajuda en el procés de presa de decisions.

Generic entry into a regulated pharmaceutical market

The aim of this paper is to analyse empirically entry decisions by generic firms intomarkets with tough regulation. Generic drugs might be a key driver of competitionand cost containment in pharmaceutical markets. The dynamics of reforms ofpatents and pricing across drug markets in Spain are useful to identify the impact ofregulations on generic entry. Estimates from a count data model using a panel of 86active ingredients during the 1999 2005 period show that the drivers of genericentry in markets with price regulations are similar to less regulated markets: genericfirms entries are positively affected by the market size and time trend, and negativelyaffected by the number of incumbent laboratories and the number of substitutesactive ingredients. We also find that contrary to what policy makers expected, thesystem of reference pricing restrains considerably the generic entry. Short run brandname drug price reductions are obtained by governments at the cost of long runbenefits from fostering generic entry and post-patent competition into the markets.

Sistema per gestionar les incidències d'un servei d'informàtica amb una arquitectura J2EE distribuïda en tres nivells

Tant en la meva etapa d’estudiant com en la meva curta vida laboral, he participat en el desenvolupament de varies aplicacions de gestió, tant d’escriptori com web, que majoritàriament sempre estaven dividides en tres capes però en dos nivells: la base de dades i l’aplicació, que contenia tant la lògica de negoci com la vista. Des de fa temps he tingut la curiositat i la necessitat d’intentar desenvolupar una aplicació de gestió que estigui distribuïda en tres o més nivells, separant el model de dades i la lògica de negoci de la vista. Crec que el treball de fi de carrera és idoni per desenvolupar-la. L’aplicació a desenvolupar anirà destinada a la gestió d’un servei d’informàtica, que s’encarrega de resoldre les incidències, inventariar i realitzar el manteniment preventiu dels equips informàtics d’una o de varies empreses. Es crearà una aplicació que contindrà el model de dades i la lògica de negoci. També es crearan dues aplicacions clients: una aplicació d’escriptori que donarà accés a totes i cadascuna de les funcionalitats del sistema i una aplicació web que oferirà un accés lleuger i des de qualsevol ubicació a les funcionalitats d’explotació del sistema. Per últim, també es crearà una altre aplicació web que s’encarregarà de generar els llistats sol•licitats per les dues aplicacions clients. D’aquesta manera també es centralitzarà la gestió dels llistats de les aplicacions del sistema. Per desenvolupar el sistema, s’utilitzarà la plataforma J2EE de Java, i es comptarà amb l’ajuda de marcs de treball com, per exemple, Oracle ADF o JasperReports. Com a conclusió general, puc assegurar que si es distribueixen les tres capes d’un sistema en tres nivells s’obtenen beneficis en l’administració, en el manteniment, en l’escalabilitat, en la flexibilitat i en la reutilització de les aplicacions. El principal inconvenient és el possible augment de lentitud en les aplicacions clients.

Analyse des séjours hospitaliers : apport des données infirmières

Background: In Switzerland the aim of health insurance (LAMaI) is to control rising health costs. One method is to institute a prospective payment system (DRGs) for all Swiss hospitals in 2012, according to which hospital funding will be based only on medical and administrative data. Question: What is the contribution of nursing to the analysis of hospital stays? Method: On the basis of aIl patient hospital stays in the CHUV (Lausanne) during 2005 and 2006, we have compared a medico-administrative data model and a nursing data model. We used a logistic regression on the probability of patient exit. Results: The capacity of discrimination of the model is appreciably improved since the surface under curve O.C.R. passes from 0.712 with the casemix data and the rang of day to 0.785 if it's adds data on heaviness of care (pseudo R² respectively 0.096 and 0.152). Discussion: This approach provides evidence on the feasibility of using standards of care pathway allowing managers to analyse the organisation of patient care and securing a better estimate of hospital funding.

Robust accelerated failure time regression

Robust estimators for accelerated failure time models with asymmetric (or symmetric) error distribution and censored observations are proposed. It is assumed that the error model belongs to a log-location-scale family of distributions and that the mean response is the parameter of interest. Since scale is a main component of mean, scale is not treated as a nuisance parameter. A three steps procedure is proposed. In the first step, an initial high breakdown point S estimate is computed. In the second step, observations that are unlikely under the estimated model are rejected or down weighted. Finally, a weighted maximum likelihood estimate is computed. To define the estimates, functions of censored residuals are replaced by their estimated conditional expectation given that the response is larger than the observed censored value. The rejection rule in the second step is based on an adaptive cut-off that, asymptotically, does not reject any observation when the data are generat ed according to the model. Therefore, the final estimate attains full efficiency at the model, with respect to the maximum likelihood estimate, while maintaining the breakdown point of the initial estimator. Asymptotic results are provided. The new procedure is evaluated with the help of Monte Carlo simulations. Two examples with real data are discussed.

IowAccess Project 8 : statewide geographic information systems (GIS) support, 1998

This is the final report of the of IowAccess Project 8, which designed and implemented a geospatial data infrastructure for Iowa, including a formalized coordination body, a coordination staff, and enhanced data clearing house, and a statewide GIS training and education effort.