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Abstract
This research aims to investigate the level of knowledge of the population of Mozambique Island about malaria, one of the diseases that most affect the country. Against this background we have developed an exploratory study, constituted by a sample of 500 individuals of both sexes, residing in different districts of the island. Overall, the respondents are mostly well informed about the characteristics of the disease, its implications, and ways of prevention. Still, the Island has residents without information about malaria. These people, who have a low level of knowledge about the disease, although in smaller numbers, still perform little preventive procedures and contribute to the increase in cases of this disease. It is considered that the results of this study are a contribution to the definition of priority actions in the promotion of education and health, specifically with regard to malaria.

Abstract
In practice, there are several processes which are exhibiting oscillatory behaviour. Some representatives are disk-drive heads, robot arms, cranes and power-electronics. One of techniques, aimed at reducing the oscillations, is Posicast Input Command Shaping (PICS) method. The paper combines the PICS method and Magnitude Optimum Multiple Integration (MOMI) tuning method for PID controllers. The combination of both methods significantly improves the speed and stability of the closed-loop tracking responses. Moreover, the proposed approach is relatively simple for implementation in practice and can be used either on process time-response data or on the process model in frequency-domain.

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This article describes the use of learning design to contextualise learning resources in a repository through the use of pre-defined templates. We advocate a close connection between a resource and its pattern of use in order to improve learning objects reuse. Moreover, we present the rationale for adopting and using learning design templates in the TREE repository.

Abstract
In life, trust is considered the base of all relationships, including Business-to-Business (B2B) relationships. The selection of a supplier depends not only on its reputation and the costs involved, but also on its trustworthiness and other factors. But how can the trustworthiness of a supplier be measured? What are the factors that influence the supplier's trustworthiness, i.e., what are the relevant factors of trust in the selection of a supplier in a B2B relationship? Answers to these questions will help model the supplier agents' behavior in the multi-agent ANTE platform. In this paper we propose to consider fifteen attributes to measure the trustworthiness of a supplier as a conceptual model of trust, coming out of a combination of several determinants gathered from the literature review. Raw data was gathered by sending a questionnaire to a set of firms from different industrial sectors. The results support part of the proposed determinants, introducing new determinants of trust that resulted from exploratory factor analysis and a new model obtained from confirmatory factor analysis. With this, two possible multi-attribute supplier agents can be modeled. This paper discusses the results and limitations of this study and proposes suggestions for future work.