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The use of Active Learning (AL) techniques can significantly improve the teaching–learning process, as the content is explored in a more interactive, participative, and relaxed way. Although expositive classes are still broadly used in Brazil, in this chapter we present some AL techniques, as well as experiences of their application, used in Brazilian K-12, undergraduate, and graduate Information Systems courses. As a result, we have noticed learning has been more effective, and students have been motivated by the use of these AL techniques. Although used in the context of Information System courses, the techniques could be adapted to other scenarios.

This paper addresses the adaptive passivation of multi‐input multi‐output (MIMO) non‐linear systems,with unknown parameters. The class of MIMO non‐linear systems considered here has an explicit linear parametric uncertainty and it is made equivalent to a passive system by means of an adaptive controller with adaptive laws specially designed, which include suitable time‐varying gains. The solution presented here is an extension of that obtained by the authors for single‐input single‐output (SISO) systems. The proposed algorithm was applied, at simulation level, to models of dynamical MIMO systems, to exemplify the controller design methodology and to observe the adaptive system behavior.

The fusion energy research in Europe is developed by a set of laboratories of different countries and organisations. EFDA is an organisation whose main objective is to promote and improve the coordination and collaboration among these laboratories. This paper sets out to describe a working federation (EFDA‐Fed) that gathers EFDA (as organisation) and a set of fusion research laboratories: EURATOM/CIEMAT (Spain), CEA (France), JET (UK), IST (Portugal) and KFKI/HAS (Hungary).

To achieve the objective a federation among all the organisations has been implemented based on PAPI as the authentication and authorization infrastructure that provides a security layer for accessing data among organisations.

During the implementation of EFDA federation some improvements in distributed single sign on systems have been achieved such as the integration of JAVA applications and a single sign off mechanism.

Users who belong to one of the federated organisations will be able to access from any IP address to resources located in any organisation of the federation in a secure way. On the other hand, new resources can be shared for federated users and access policies to these services can be implemented.

The paper describes a successful use of an open source technology (PAPI) for implementing a real multi‐organisation infrastructure for sharing services in a secure way, and integrating client applications and with a complete single sign off mechanism.

This paper analyzes county-level firm births across the United States using a spatial count model that permits spatial dependence, cross-correlation among different industry types, and over-dispersion commonly found in empirical count data. Results confirm the presence of spatial autocorrelation (which can arise from agglomeration effects and missing variables), industry-specific over-dispersion, and positive, significant cross-correlations. After controlling for existing-firm counts in 2008 (as an exposure term), parameter estimates and inference suggest that a younger work force and/or clientele (as quantified using each county’s median-age values) is associated with more firm births (in 2009). Higher population densities is associated with more new basic-sector firms, while reducing retail-firm starts. The modeling framework demonstrated here can be adopted for a variety of settings, harnessing very local, detailed data to evaluate the effectiveness of investments and policies, in terms of generating business establishments and promoting economic gains.

Plastic pollution is a widespread problem around the world. However, the problem is more severe and ever increasing in developing countries. The literature suggests that the majority of the work and the solutions that have been proposed to address plastic littering have been undertaken in developed countries. Thus, there is a need to explore the problem in developing countries to better understand the issue and to develop context-specific solutions. We explored the norms perspective using ‘The Focus Theory of Normative Conduct’, individual ethical position and place attachment factors. Interviews were conducted in Pakistan with 16 people who were recently at a beach at which there was a large amount of plastic litter. Results showed that people are influenced by the pro-littering social norms of their friends and neighbours. However, people with strong anti-littering personal norms are not influenced by pro-littering social norms. We also found that people have varying moral position, and their lack of attachment with the public place also influences their littering behaviour. Moreover, people believe that other people litter due to lack of education and awareness, lack of garbage bins and a general level of carelessness. Future research needs to focus on activating an individual's idealist moral position and an individuals' attachment with the place to enhance the activation of anti-littering personal norms which will help reduce littering behaviour. Further still, government needs to set up campaigns at public places to create awareness among people about the impact of littering, and government also needs to improve the effectiveness and efficiency of waste management. Businesses can also play a role by providing waste bins which may be used as a source of promoting their support for reducing litter.

The purpose of this paper is to capture the actual structural behavior of the longest timber footbridge in Spain by means of a multi-scale model updating approach in conjunction with ambient vibration tests.

In a first stage, a numerical pre-test analysis of the full bridge is performed, using standard beam-type finite elements with isotropic material properties. This approach offers a first structural model in which optimal sensor placement (OSP) methodologies are applied to improve the system identification process. In particular, the effective independence (EFI) method is used to determine the optimal locations of a set of sensors. Ambient vibration tests are conducted to determine experimentally the modal characteristics of the structure. The identified modal parameters are compared with those values obtained from this preliminary model. To improve the accuracy of the numerical predictions, the material response is modeled by means of a homogenization-based multi-scale computational approach. In a second stage, the structure is modeled by means of three-dimensional solid elements with the above material definition, capturing realistically the full orthotropic mechanical properties of wood. A genetic algorithm (GA) technique is adopted to calibrate the micromechanical parameters which are either not well-known or susceptible to considerable variations when measured experimentally.

An overall good agreement is found between the results of the updated numerical simulations and the corresponding experimental measurements. The longitudinal and transverse Young's moduli, sliding and rolling shear moduli, density and natural frequencies are computed by the present approach. The obtained results reveal the potential predictive capabilities of the present GA/multi-scale/experimental approach to capture accurately the actual behavior of complex materials and structures.

The uniqueness and importance of this structure leads to an intensive study of its structural behavior. Ambient vibration tests are carried out under environmental excitation. Extraction of modal parameters is obtained from output-only experimental data. The EFI methodology is applied for the OSP on a large-scale structure. Information coming from several length scales, from sub-micrometer dimensions to macroscopic scales, is included in the material definition. The strong differences found between the stiffness along the longitudinal and transverse directions of wood lumbers are incorporated in the structural model. A multi-scale model updating approach is carried out by means of a GA technique to calibrate the micromechanical parameters which are either not well-known or susceptible to considerable variations when measured experimentally.

The purpose of this paper is to introduce a multi‐agent architecture, which offers services to be applied in B2C e‐Marketplaces and to present the core system: the search agent.

The different parts that compose an e‐commerce portal are naturally performed through intelligent agents, which have the ability to communicate with one another and autonomously act depending on defined goals.

The search agent returns the more relevant results in direct shopping than others previously used. It is based on a usability‐improved fuzzy searching mechanism that allows the specification of uncertain and vague searching preferences.

More empirical research efforts need to be directed to study the efficiency over time. This work is based on a prototype, which is its main limitation.

Intelligent agents can be useful to improve e‐commerce services in B2C portals.

The research extends previous authors' work on the application of intelligent agents to e‐commerce fields.

The aim of this chapter is to investigate the relationship between ethics, risks of compliance failure and strategic value of global responsibility for BRICS companies. The first part of the chapter adopts a theoretical approach: it introduces and analyzes the key role of compliance risk management for sustainable and successful development of companies. The second part of the chapter uses an empirical approach, based on the case study method. The chapter focuses on the BRICS. The chapter demonstrates that mere formal compliance with laws, recommendations, and internal codes is not sufficient for companies that want to be responsible and attract stakeholders’ consent and resources. A shared background of ethical principles is required for a proper understanding of the rules, in order to prevent the risk of compliance failure and limit the global risk exposure of a company. Due to the business perspective adopted in the research, this chapter leaves out the sociological aspects regarding how to create, spread, and strengthen the culture of compliance within a company. The chapter encourages companies to connect ethical principles and compliance with the rules. Indeed, a lack of ethics in business operations, obscured by formal compliance, often results in indirect negative impacts on stakeholder relationships, so it is only a futile attempt to act responsibly. The originality of the chapter consists in suggesting the adoption of a responsibility-oriented approach for compliance risk management.

I will present an example of a shared decision-making process between adults and children: a case study of an intergenerational project built collaboratively between a group of artists, teachers, their current and former students, their families and the inhabitants of a pedestrian square in Lisbon's city centre.

The project began as weekly meetings that took place in the ruins of an abandoned house that only had walls and a cemented floor. The participants had to climb up the wall to enter it. Eventually, together they decided to renovate the ruins, paint them, garden in them and to research what had happened to that building. They began a newsletter with photos, drawings and texts that was compiled into a book, which was published and released in a public event.

The results were obtained by the triangulation of participatory observation data, interviews with the children and adults, written and filmed records. I will show how the project stimulated a learning process that was collective and active for all participants. As a consequence of the use of child-centred practice, the children saw their collaboration in the structuring of the meetings as a moment when the traditional school hierarchy was minimised and they felt their knowledge valued, with impact in their school performance.

A strong anti-immigrant and anti-refugee sentiment permeates the political discourse in the United States and many Western European countries. This political discourse, along with policies designed to limit immigration, is likely to influence the academic motivation of students from immigrant groups. In this chapter, we consider how anti-immigrant sentiment in the host countries may affect the motivation and achievement of immigrant and refugee students. Specifically, we apply findings from research examining stress and anxiety, belonging, identity, teacher expectancies, and stereotype threat to speculate about how these motivational factors may be affected by anti-immigrant rhetoric. Next, we use Maehr’s (1984) theory of personal investment (PI) as a framework for integrating the various components of motivation that can be applied to the current plight of immigrant and refugee students. The chapter concludes with a brief discussion about the steps we can take, both at the personal and the policy levels, to counteract the hostile political discourse and promote higher levels of PI in education among immigrant and refugee students.