Screening a Case Base for Stroke Disease Detection

Stroke stands for one of the most frequent causes of death, without distinguishing age or genders. Despite representing an expressive mortality fig-ure, the disease also causes long-term disabilities with a huge recovery time, which goes in parallel with costs. However, stroke and health diseases may also be prevented considering illness evidence. Therefore, the present work will start with the development of a decision support system to assess stroke risk, centered on a formal framework based on Logic Programming for knowledge rep-resentation and reasoning, complemented with a Case Based Reasoning (CBR) approach to computing. Indeed, and in order to target practically the CBR cycle, a normalization and an optimization phases were introduced, and clustering methods were used, then reducing the search space and enhancing the cases re-trieval one. On the other hand, and aiming at an improvement of the CBR theo-retical basis, the predicates` attributes were normalized to the interval 0…1, and the extensions of the predicates that match the universe of discourse were re-written, and set not only in terms of an evaluation of its Quality-of-Information (QoI), but also in terms of an assessment of a Degree-of-Confidence (DoC), a measure of one`s confidence that they fit into a given interval, taking into account their domains, i.e., each predicate attribute will be given in terms of a pair (QoI, DoC), a simple and elegant way to represent data or knowledge of the type incomplete, self-contradictory, or even unknown.

Length of Stay in Intensive Care Units - A Case Base Evaluation

As a matter of fact, an Intensive Care Unit (ICU) stands for a hospital facility where patients require close observation and monitoring. Indeed, predicting Length-of-Stay (LoS) at ICUs is essential not only to provide them with improved Quality-of-Care, but also to help the hospital management to cope with hospital resources. Therefore, in this work one`s aim is to present an Artificial Intelligence based Decision Support System to assist on the prediction of LoS at ICUs, which will be centered on a formal framework based on a Logic Programming acquaintance for knowledge representation and reasoning, complemented with a Case Based approach to computing, and able to handle unknown, incomplete, or even contradictory data, information or knowledge.

A Case-base Approach to Workforces’ Satisfaction Assessment

It is well known that human resources play a valuable role in a sustainable organizational development. Indeed, this work will focus on the development of a decision support system to assess workers’ satisfaction based on factors related to human resources management practices. The framework is built on top of a Logic Programming approach to Knowledge Representation and Reasoning, complemented with a Case Based approach to computing. The proposed solution is unique in itself, once it caters for the explicit treatment of incomplete, unknown, or even self-contradictory information, either in terms of a qualitative or quantitative setting. Furthermore, clustering methods based on similarity analysis among cases were used to distinguish and aggregate collections of historical data or knowledge in order to reduce the search space, therefore enhancing the cases retrieval and the overall computational process.

Waiting Time Screening in Diagnostic Medical Imaging - A Case-Based View

Due to the high standards expected from diagnostic medical imaging, the analysis of information regarding waiting lists via different information systems is of utmost importance. Such analysis, on the one hand, may improve the diagnostic quality and, on the other hand, may lead to the reduction of waiting times, with the concomitant increase of the quality of services and the reduction of the inherent financial costs. Hence, the purpose of this study is to assess the waiting time in the delivery of diagnostic medical imaging services, like computed tomography and magnetic resonance imaging. Thereby, this work is focused on the development of a decision support system to assess waiting times in diagnostic medical imaging with recourse to operational data of selected attributes extracted from distinct information systems. The computational framework is built on top of a Logic Programming Case-base Reasoning approach to Knowledge Representation and Reasoning that caters for the handling of in-complete, unknown, or even self-contradictory information.

A Case Based approach to assess Waiting Time Prediction at an Intensive Care Unity

Waiting time at an intensive care unity stands for a key feature in the assessment of healthcare quality. Nevertheless, its estimation is a difficult task, not only due to the different factors with intricate relations among them, but also with respect to the available data, which may be incomplete, self-contradictory or even unknown. However, its prediction not only improves the patients’ satisfaction but also enhance the quality of the healthcare being provided. To fulfill this goal, this work aims at the development of a decision support system that allows one to predict how long a patient should remain at an emergency unit, having into consideration all the remarks that were just stated above. It is built on top of a Logic Programming approach to knowledge representation and reasoning, complemented with a Case Base approach to computing.

Chest Breadths to Predict Individuals' Age - A Case Based View

It is well known that rib cage dimensions depend on the gender and vary with the age of the individual. Under this setting it is therefore possible to assume that a computational approach to the problem may be thought out and, consequently, this work will focus on the development of an Artificial Intelligence grounded decision support system to predict individual’s age, based on such measurements. On the one hand, using some basic image processing techniques it were extracted such descriptions from chest X-rays (i.e., its maximum width and height). On the other hand, the computational framework was built on top of a Logic Programming Case Base approach to knowledge representation and reasoning, which caters for the handling of incomplete, unknown, or even contradictory information. Furthermore, clustering methods based on similarity analysis among cases were used to distinguish and aggregate collections of historical data in order to reduce the search space, therefore enhancing the cases retrieval and the overall computational process. The accuracy of the proposed model is satisfactory, close to 90%.

Age Prediction through Pelvis X-Ray Images - A Case Based approach to Problem Solving

It is well known that the dimensions of the pelvic bones depend on the gender and vary with the age of the individual. Indeed, and as a matter of fact, this work will focus on the development of an intelligent decision support system to predict individual’s age based on pelvis’ dimensions criteria. On the one hand, some basic image processing technics were applied in order to extract the relevant features from pelvic X-rays. On the other hand, the computational framework presented here was built on top of a Logic Programming approach to knowledge representation and reasoning, that caters for the handling of incomplete, unknown, or even self-contradictory information, complemented with a Case Base approach to computing.

An Assessment of Pharmacological Properties of Schinus Essential Oils: A Soft Computing Approach

Plants of genus Schinus are native South America and introduced in Mediterranean countries, a long time ago. Some Schinus species have been used in folk medicine, and Essential Oils of Schinus spp. (EOs) have been reported as having antimicrobial, anti-tumoural and anti-inflammatory properties. Such assets are related with the EOs chemical composition that depends largely on the species, the geographic and climatic region, and on the part of the plants used. Considering the difficulty to infer the pharmacological properties of EOs of Schinus species without a hard experimental setting, this work will focus on the development of an Artificial Intelligence grounded Decision Support System to predict pharmacological properties of Schinus EOs. The computational framework was built on top of a Logic Programming Case Base approach to knowledge representation and reasoning, which caters to the handling of incomplete, unknown, or even self-contradictory information. New clustering methods centered on an analysis of attribute’s similarities were used to distinguish and aggregate historical data according to the context under which it was added to the Case Base, therefore enhancing the prediction process.

An Artificial Intelligence Approach to Individuals' Age Assessment

A link between patterns of pelvic growth and human life history is supported by the finding that, cross-culturally, variation in maturation rates of female pelvis are correlated with variation in ages of menarche and first reproduction, i.e., it is well known that the human dimensions of the pelvic bones depend on the gender and vary with the age. Indeed, one feature in which humans appear to be unique is the prolonged growth of the pelvis after the age of sexual maturity. Both the total superoinferior length and mediolateral breadth of the pelvis continues to grow markedly after puberty, and do not reach adult proportions until the late teens years. This continuation of growth is accomplished by relatively late fusion of the separate centers of ossification that form the bones of the pelvis. Hence, in this work we will focus on the development of an intelligent decision support system to predict individual’s age based on a pelvis' dimensions criteria. Some basic image processing techniques were applied in order to extract the relevant features from pelvic X-rays, being the computational framework built on top of a Logic Programming approach to Knowledge Representation and Reasoning that caters for the handling of incomplete, unknown, or even self-contradictory information, complemented with a Case Base approach to computing.

Papel das medidas agro-ambientais na gestão da paisagem rural no concelho de Marvão no PNSSM

As paisagens rurais portuguesas construídas e mantidas ao longo dos tempos por sistemas agrícolas tradicionais, estão hoje ameaçadas por motivos tão diversos como o envelhecimento da população, o abandono rural, a intensificação, a homogeneização dos sistemas de produção e a perda de competitividade. Mas apesar destes problemas, estas paisagens agrícolas, suportam ainda várias funções não produtivas, nomeadamente, constituem, um importante suporte de biodiversidade, pelo que a sua manutenção é importante para a conservação destes habitats e espécies. Eventualmente novas formas de gestão destas paisagens devem ser criadas, nomeadamente com base na combinação de várias funções numa perspectiva de multifuncionalidade, através de uma adaptação e integração de políticas públicas. Estando actualmente em discussão o novo programa de Desenvolvimento Rural e a definição das futuras Medidas Agro-Ambientais, e a gestão e o financiamento da Rede Natura 2000, estamos portanto num momento crítico para decisões futuras, que terão forçosamente que interligar, a agricultura, o ambiente e desenvolvimento das zonas rurais portuguesas. Com o intuito de melhor compreender estas problemáticas, em particular, as transformações em curso na paisagem rural, o papel das Medidas Agro-Ambientais e apresentar possíveis soluções, foi efectuado este estudo de caso no concelho de Marvão, concelho típico das áreas marginais agrícolas do interior sul de Portugal. ABSTRACT; The Portuguese rural landscapes built up and kept throughout the times by traditional agricultural systems, are today threatened by so diverse reasons as the ageing of the population, the agricultural abandonment, the intensification, the homogenization of the production systems and the loss of competitiveness. But despite these problems. These agricultural landscapes still support a multitude of non-commodity functions, and particularly they still constitute an important support of biodiversity and thus their maintenance is important for the conservation of these habitats and species. Probably new management forms must be created based on the combination of various functions and the adaptation and integration of public policies. Being currently in discussion the new program of Rural Development and the definition of the future Agri-Environmental Measures, and the management and the financing of the Natura 2000 Network, we are therefore at a critical moment for future decisions that will forcibly have to establish connections, between the agriculture, the environment and the development of the portuguese agricultural areas. With the intention of better understanding these problems and questions, , the transformations taking place in Portuguese peripheric rural areas, and in particular role of the Agri-Environmental Measures, and also for presenting possible solutions, a case study was analyzed in municipality of Marvão, characteristic of the agricultural marginal areas of the interior Southern Portugal.

Double bass and electric bass: the case study of John Patitucci

The electric bass and double bass are two different instruments sharing a common function: they link harmony with rhythm, especially when talking about jazz music. The capacity of a bassist to fully support an ensemble is something that can be achieved individually playing electric or double bass. However there are some bassists who, despite of the technical differences between these two instruments, choose to play both. Some of these performers are true masters using and switching electric and double bass according to the different musical settings. It is possible to define similarities and differences between the electric and double bass, but is it viable to use similar approaches too? In order to investigate this field, I focus my research on one exemplar player who combines all the qualities needed to both play electric than double bass: John Patitucci, an inspiration for bassists of all generations and a musician who synthesizes all the fundamental characteristics of an ideal bass player. This dissertation is inspired by Patitucci’s example and by the urge to fill a gap in the specialized literature concerning the history and application of different left and right hand techniques on the electric and double bass. The main purpose of this study is to create the backbone of a bass program for teaching both instruments using John Patitucci as example. His technical approach on both instruments and his soloing vocabulary are points of departure of this dissertation. I begin my study with the historical origins of Patitucci’s techniques ending with the development of exercises created in order to teach his techniques and vocabulary to those who aspire to play electric and double bass; RESUMO: Baixo elétrico e contrabaixo, dois instrumentos distintos que partilham uma função comum: a possibilidade de produzir um conjunto de notas capazes de interligar uma grelha harmonia a uma base rítmica, criando uma coesão estética e musical, sobretudo na música jazz. A capacidade de um baixista de conseguir alcançar de forma eficiente esta ligação como sólido suporte para um “ensemble” musical está na base de uma sua eventual afirmação profissional. Há músicos que apesar das diferencias técnicas entre estes dois instrumentos, decidiram tocar ambos; alguns deles conseguiram destacarse, usando e trocando o baixo elétrico e o contrabaixo para servir melhor diferentes situações musicais. O contrabaixo e baixo elétrico têm características em comum mas ao mesmo tempo diferem por apresentar algumas diferenças técnica substanciais; será por isso possível abordar, explorar e aprender ambos utilizando uma mesma base metodológica? Com o intuito de explorar esta possibilidade direcionei a minha pesquisa para o estudo de um músico que no curso da sua longa carreira consegui grande destaque em quanto baixista elétrico e contrabaixista. John Patitucci é a síntese desta tipologia de músico, sendo uma fonte de inspiração para baixistas de todas as gerações. Esta dissertação é inspirada no seu exemplo e no desejo de colmatar o vazio presente na literatura musical comum aos dois instrumentos sobre a história e aplicação das técnicas da mão esquerda e direita. O foco principal é a criação de uma base sólida para o futuro desenvolvimento de um programa de ensino comum para o baixo eléctrico e o contrabaixo, utilizando o vocabulário técnico e improvisativo de Patitucci como ponto de partida. A dissertação aborda as origens históricas das técnicas utilizadas por Patitucci desenvolvendo, numa fase sucessiva, exercícios criados com a função de ensinar as suas técnicas aos que desejarem aprofundar a prática do baixo elétrico e do contrabaixo.

Scheduling the repair of aircraft components - a case study

In aircraft components maintenance shops, components are distributed amongst repair groups and their respective technicians based on the type of repair, on the technicians skills and workload, and on the customer required dates. This distribution planning is typically done in an empirical manner based on the group leader’s past experience. Such a procedure does not provide any performance guarantees, leading frequently to undesirable delays on the delivery of the aircraft components. Among others, a fundamental challenge faced by the group leaders is to decide how to distribute the components that arrive without customer required dates. This paper addresses the problems of prioritizing the randomly arriving of aircraft components (with or without pre-assigned customer required dates) and of optimally distributing them amongst the technicians of the repair groups. We proposed a formula for prioritizing the list of repairs, pointing out the importance of selecting good estimators for the interarrival times between repair requests, the turn-around-times and the man hours for repair. In addition, a model for the assignment and scheduling problem is designed and a preliminary algorithm along with a numerical illustration is presented.

The Evolution of Norms in Trade and Financial Networks in the First Global Age: the case of Simon Ruiz's network

In the 16th century, merchants and bankers gained a social influence and political relevance, due to their capacity of ‘faire travailler l’argent des autres’ (Benassar 1972:50). For the success of their activity, they built evolving networks with cooperative partners. These networks were much more than the sum of all partners. In the case study of the Castilian merchant Simon Ruiz, the network functioned in an unique way and independent from any formal institutional control. Its functioning varied in how different partners were associated and the particular characteristics and contents of these social ties. Being a self-organized network, since the formal institutions of trade regulation and the Crown control didn’t influence the network functioning, the Simon Ruiz network was deeply embedded in the economic and financial performance of the Hispanic Empires, in two different ways. The first, purely commercial. The monopolistic regime which was applied by the two crowns in the trade of certain colonial goods was insufficient to the costs of imperial maintenance. In such manner, particulars tried to rent a contract of exploration of trade, paying an annual sum to the crown, as in the Portuguese trade. Some of these agents also moved along Simon Ruiz’s network. But others were involved in relations with the imperial crowns on a second way, the finance. Maintaining Empires implied a lot of human, technical but also financial means, and most of the times Kings were forced to recur to these merchants, as we will demonstrate. What were the implications of these collaborative relations in both parts? The main goal of this paper is to comprehend the evolution of informal norms within Simon Ruiz’s network and how they influenced cooperative behavior of the agents, particularly analyzing mechanisms of sanctioning, control, punishment and reward, as well as their consequences in different dimensions: future interactions, social repercussions and in agent’s economic health and activity. The research is based in the bills of exchange and commercial correspondence of the private archive of Simon Ruiz, located in the Provincial Archive of Valladollid, Spain.

A gestão de talento numa empresa de consultoria e tecnologias de informação: o caso Capgemini

O relatório de estágio aqui apresentado foi realizado no âmbito do plano de estudos do Mestrado em Gestão – especialização em Recursos Humanos- da Universidade de Évora. Tendo por base a experiência de estágio curricular no Departamento de Recursos Humanos da empresa Capgemini Portugal – Serviços de Consultoria e Informática, S.A., procedeu-se a uma descrição detalhada das atividades realizadas e posterior análise de acordo com as dimensões (i) Estratégia de Gestão de Recursos Humanos, (ii) Gestão de Emprego, (iii) Recrutamento e Seleção, (iv) Formação e Desenvolvimento, e (v) Manutenção de Gestão de Recursos Humanos. Posteriormente, foram enquadradas as atividades a nível teórico, e partindo de uma análise crítica, elaborou-se um conjunto de propostas de intervenção/melhoria da realidade organizacional, nomeadamente ao nível dos Recursos Humanos; Abstract: “Talent Management on a Consulting and IT Organization – Capgemini case” The presented probation report was conducted as part of the Master’s curriculum in Management - specialization in Human Resources at Universidade de Évora. Based on the internship experience in the Human Resources Department of Capgemini Portugal – Serviços de Consultoria e Informática, S.A., the trainee proceeded to a detailed description of the activities and subsequent analysis according to the dimensions (i) Strategic Management of Human Resources, (ii) Employment Management, (iii) Recruitment and Selection, (iv) Training and Development, and (v) Maintenance of Human Resources Management. Afterwards, the activities were framed at a theoretical level, and a set of proposals for action / improvement of organizational reality were recommended, based on the previous critical analysis described.