Validação do questionário de desenvolvimento emocional em adultos – QDE_A

O tema da inteligência emocional tem vindo a ganhar protagonismo no plano pessoal, organizacional e societário. A emocionalidade e a racionalidade devem ser ambas consideradas e valorizadas de forma equilibrada. Este estudo teve como amostra 507 enfermeiros a trabalhar em organizações do ramo da saúde. Estes profissionais têm uma tarefa complexa, uma vez que lidam diariamente com pessoas, que devido à sua situação de saúde fragilizada, estão mais vulneráveis e com o seu estado emocional mais alterado, o que remete para a necessidade de avaliar o desenvolvimento emocional dos mesmos. Definimos como objetivo geral contribuir para um maior conhecimento empírico sobre o desenvolvimento emocional em adultos. Os objetivos específicos são: a tradução e validação do questionário de desenvolvimento emocional em adultos (QDE_A) de Pérez-Escoda, Bisquerra, Filella e Soldevila (2010), adaptado à situação portuguesa, em enfermeiros; e a avaliação do desenvolvimento emocional dos mesmos. No que respeita à metodologia, o estudo é de carácter quantitativo, descritivo, exploratório e inferencial. Numa amostra de 507 enfermeiros, de duas regiões com caraterísticas socioeconómicas distintas, foi aplicado o QDE_A.A validação do mesmo foi concretizada através de uma análise fatorial exploratória e de uma análise fatorial confirmatória (CFA). Como objetivado foi conseguida a validação do QDE_A, tendo sido obtido um modelo constituído por cinco dimensões do desenvolvimento emocional, muito aproximado ao modelo proposto por Goleman (1995), sendo, assim, possível a sua utilização em investigações futuras e em intervenções na área da gestão dos recursos humanos e coaching. Relativamente ao objetivo de estudo, sobre o desenvolvimento emocional dos enfermeiros, verificámos que estes possuem níveis médios a elevados de desenvolvimento emocional global e que, dentro das dimensões, a auto motivação e a gestão das emoções são as mais evidenciadas, tendo em vista o incremento do desenvolvimento da inteligência emocional destes profissionais.

Bisphenol A alters transcript levels of biomarker genes for major depressive disorder

Major depressive disorder is a moderately heritable disorder characterized by one or more major depressive episodes. Laboratory tests to suport MDD diagnosis are not available. Diagnosis and treatment are based on various signs and symptoms not always fitting into strict diagnostic categories. Research for biological markers of neuropsychiatric disorders has been a challenge.

Business Intelligence – Aplicação prática no sector financeiro

Trabalho de Projecto apresentado como requisito parcial para obtenção do grau de Mestre em Estatística e Gestão de Informação

Fundamentos teóricos da competitive intelligence como vantagem competitiva

Comunicação apresentada na 5ª Conferência Ibérica de Sistemas e Tecnologias de Informação – CISTI 2010, 16-19 Jun., Santiago de Compostela, Espanha. Vol. 2 pp. 329-334.

Interrelation between parasitic infections and hypovitaminosis A: Schistosoma mansoni infection and the retinol blood levels in an endemic area of State of Minas Gerais (Brazil)

The interrelation between schistosomiasis and the retinol blood levels was studied in a double blind method, by comparing the serum vitamin A of the infected and non-infected group of an endemic area of Schistosoma mansoni infection. The infected group was characterized by 106 parasitized persons in the intestinal and hepatointestinal forms, who eliminated less than 500 eggs/gram of feces (Modified Kato's method); the non-infected group was characterized by 112 inhabitants of this endemic area without eggs in the stools and presenting negative intradermal reactions, and absence of previous specific treatment. The blood levels of retinol was determinated using trifluoracetic acid method, regarding the normal levels > 20,0mg/100ml. The results of this study point out the absence of correlation between S. mansoni infection and blood levels of vitamin A.

Is ambient intelligence a truly human-centric paradigm in industry? Current research and application scenario

Based on the paper presented at the International Conference “Autonomous Systems: inter-relations of technical and societal issues”, organized by IET with the support of the Portuguese-German collaboration project on “Technology Assessment of Autonomous Robotics” (DAAD/CRUP) at FCT-UNL, Biblioteca da UNL, Campus de Caparica on 5-6 November 2009.

Eosinophil levels in the acute phase of experimental chagas' disease

Eosinophil dynamics, in bone marrow, blood and peritoneal exudate, of resistant C57B1/6 (C57) and susceptible A/Snell (A/Sn) mice was comparatively studied during the acute phase of infection by Trypanosoma cruzi Y strain. A decline was observed in bone marrow eosinophil levels in A/Sn, but not in C57 mice, soon after infection, those of the former remaining significantly below those of the latter up to the 4th day of infection. Bone marrow eosinophil levels of C57 mice declined subsequently to levels comparable to those of A/Sn mice, the number of these cells in this compartment remaining 50% those of non infected controls, in both strains, up to the end of the experiment on the 14th day of infection. The fluctuations in eosinophil levels in blood and peritoneal space were similar in both mice strains studied. Concomitantly with depletion of eosinophils in the marrow, depletion in blood and a marked rise of these cells in the peritoneal space, initial site of infection, occurred in both strains. The difference in eosinophil bone marrow levels, between C57 and A/Sn mice, observed in the first four days of infection, suggests a higher eosinopoiesis capacity of the former in this period, which might contribute to their higher resistance to T. cruzi infection.

Competitive Intelligence através da Internet

Comunicação apresentada na 6ª CAPSI - Conferência da Associação Portuguesa de Sistemas de Informação - Escola Superior de Tecnologia de Bragança, 26-28 de Outubro.

Aulas de técnica de flauta em grupo: uma forma de motivar os alunos para o estudo da mesma: relatório de estágio

RESUMO I - PARTE PEDAGÓGICA - O presente relatório de estágio é composto por dois capítulos: Prática Pedagógica e Investigação. A atividade docente, que serviu de base para a realização deste primeiro capítulo, teve lugar no Conservatório de Música de Santarém. Primeiramente caracteriza-se o Conservatório de Música de Santarém, sendo possível observar a sua história e objetivos pedagógicos. São também caracterizados os alunos participantes no estágio, o seu percurso académico, as suas expectativas e motivações. O subcapítulo dedicado à prática educativa desenvolvida, apresenta os objetivos e metas traçados para cada aluno; as estratégias adotadas pelo docente de forma a permitir o desenvolvimento de níveis metacognitivos e a motivação intrínseca. Neste capítulo é feita uma análise crítica da atividade docente, onde é apresentado o trabalho desenvolvido com cada aluno, ao longo do ano. Neste subcapítulo, é à semelhança do anterior, aparecem algumas referências a aspetos presentes nas considerações teóricas apresentadas na introdução do trabalho. A conclusão da atividade docente consiste numa reflexão sobre a postura adotada pelo professor e a sua autoavaliação do trabalho realizado com os alunos.

Improving Assumption based Distributed Belief Revision

Belief revision is a critical issue in real world DAI applications. A Multi-Agent System not only has to cope with the intrinsic incompleteness and the constant change of the available knowledge (as in the case of its stand alone counterparts), but also has to deal with possible conflicts between the agents’ perspectives. Each semi-autonomous agent, designed as a combination of a problem solver – assumption based truth maintenance system (ATMS), was enriched with improved capabilities: a distributed context management facility allowing the user to dynamically focus on the more pertinent contexts, and a distributed belief revision algorithm with two levels of consistency. This work contributions include: (i) a concise representation of the shared external facts; (ii) a simple and innovative methodology to achieve distributed context management; and (iii) a reduced inter-agent data exchange format. The different levels of consistency adopted were based on the relevance of the data under consideration: higher relevance data (detected inconsistencies) was granted global consistency while less relevant data (system facts) was assigned local consistency. These abilities are fully supported by the ATMS standard functionalities.

Environmental Decision Support: a Distributed Artificial Intelligence Approach

Decision making in any environmental domain is a complex and demanding activity, justifying the development of dedicated decision support systems. Every decision is confronted with a large variety and amount of constraints to satisfy as well as contradictory interests that must be sensibly accommodated. The first stage of a project evaluation is its submission to the relevant group of public (and private) agencies. The individual role of each agency is to verify, within its domain of competence, the fulfilment of the set of applicable regulations. The scope of the involved agencies is wide and ranges from evaluation abilities on the technical or economical domains to evaluation competences on the environmental or social areas. The second project evaluation stage involves the gathering of the recommendations of the individual agencies and their justified merge to produce the final conclusion. The incorporation and accommodation of the consulted agencies opinions is of extreme importance: opinions may not only differ, but can be interdependent, complementary, irreconcilable or, simply, independent. The definition of adequate methodologies to sensibly merge, whenever possible, the existing perspectives while preserving the overall legality of the system, will lead to the making of sound justified decisions. The proposed Environmental Decision Support System models the project evaluation activity and aims to assist developers in the selection of adequate locations for their projects, guaranteeing their compliance with the applicable regulations.

A Hybrid Simulated Annealing approach to handle Energy Resource Management considering an intensive use of Electric Vehicles

The massification of electric vehicles (EVs) can have a significant impact on the power system, requiring a new approach for the energy resource management. The energy resource management has the objective to obtain the optimal scheduling of the available resources considering distributed generators, storage units, demand response and EVs. The large number of resources causes more complexity in the energy resource management, taking several hours to reach the optimal solution which requires a quick solution for the next day. Therefore, it is necessary to use adequate optimization techniques to determine the best solution in a reasonable amount of time. This paper presents a hybrid artificial intelligence technique to solve a complex energy resource management problem with a large number of resources, including EVs, connected to the electric network. The hybrid approach combines simulated annealing (SA) and ant colony optimization (ACO) techniques. The case study concerns different EVs penetration levels. Comparisons with a previous SA approach and a deterministic technique are also presented. For 2000 EVs scenario, the proposed hybrid approach found a solution better than the previous SA version, resulting in a cost reduction of 1.94%. For this scenario, the proposed approach is approximately 94 times faster than the deterministic approach.

Negotiation mechanism for self-organized scheduling system with collective intelligence

Current Manufacturing Systems challenges due to international economic crisis, market globalization and e-business trends, incites the development of intelligent systems to support decision making, which allows managers to concentrate on high-level tasks management while improving decision response and effectiveness towards manufacturing agility. This paper presents a novel negotiation mechanism for dynamic scheduling based on social and collective intelligence. Under the proposed negotiation mechanism, agents must interact and collaborate in order to improve the global schedule. Swarm Intelligence (SI) is considered a general aggregation term for several computational techniques, which use ideas and inspiration from the social behaviors of insects and other biological systems. This work is primarily concerned with negotiation, where multiple self-interested agents can reach agreement over the exchange of operations on competitive resources. Experimental analysis was performed in order to validate the influence of negotiation mechanism in the system performance and the SI technique. Empirical results and statistical evidence illustrate that the negotiation mechanism influence significantly the overall system performance and the effectiveness of Artificial Bee Colony for makespan minimization and on the machine occupation maximization.