Abstract
Regression testing is of paramount importance to ensure that the quality of software does not suffer when code changes are implemented. However, having a large set of tests is mostly done by hand and is time-consuming. Regression tests are written to test functionality that is already implemented and thus are a prime target for automatic test generation. Mutation testing is a technique that evaluates the quality of tests by applying simple changes to source code and checking if any test detects those changes. This paper presents an approach focused on GUI Testing that takes the idea behind mutation testing and applies it, not to the source code, but the actual tests. Generated tests are then analyzed, and those that generate different outcomes are chosen. The set of initial test cases is obtained from the interactions of the actual users of the service under analysis. In the end, an evaluation of the approach is presented.

Abstract
Numerous sophisticated machine learning tools (e.g. ensembles or deep networks) have shown outstanding performance in terms of accuracy on different numeric forecasting tasks. In many real world application domains the numeric predictions of the models drive important and costly decisions. Frequently, decision makers require more than a black box model to be able to “trust” the predictions up to the point that they base their decisions on them. In this context, understanding these black boxes has become one of the hot topics in Machine Learning and Data Mining research. This paper proposes a series of visualisation tools that help in understanding the predictive performance of non-interpretable regression models. More specifically, these tools allow the user to relate the expected error of any model to the values of the predictor variables. This type of information allows end-users to correctly assess the risks associated with the use of the models, by showing how concrete values of the predictors may affect the performance of the models. Our illustrations with different real world data sets and learning algorithms provide insights on the type of usage and information these tools bring to both the data analyst and the end-user. © 2019, Springer Nature Switzerland AG.

Abstract
This work aims to present and summarize the identified main research fields about player engagement enhancement with video games. The expansion of video game diversity, complexity and applicability increased development costs. New approaches aim to automatize the design process by developing algorithms that can understand players requirements and redesign games on the fly. Multiplayer games have the added benefit of socially engage all involved parties through game-play. But balancing becomes more important as feeling overwhelmed by a stronger opponent may be demotivating, as feeling underwhelmed by a weaker adversary that cannot provide enough challenge and stimulation. Our research concludes that there is still lack of research effort in the identified fields. This may be due to the lack of academy incentive on the subject. The entertainment industry depends on game quality to increase their revenue, but lack interest on sharing their knowledge. We identify potential application on Serious Games. © Springer Nature Switzerland AG 2019.

Abstract
O presente estudo tem o objetivo de demonstrar a aplicação dos indicadores de Desenvolvimento Sustentável sugeridos pela OCDE (Organização para Cooperação e Desenvolvimento Econômico) para Museus. Esta aplicação tem o intuito de demonstrar como é possível reconhecer o nível de sustentabilidade dos Museus. Para isso foram realizadas pesquisas bibliográficas que evidenciam a importância de se organizar tais parâmetros, com base nas características do País em que o Museu está instalado e que demonstram a efetiva contribuição destas organizações no que se refere aos objetivos do Desenvolvimento Sustentável. Neste estudo preliminar, foram realizadas recolha de dados em dois museus da Região Centro de Portugal. A recolha de dados teve como referência Indicadores de Sustentabilidade sugeridos e publicados pela OCDE  em 2018. Estes parâmetros foram a base da recolha de dados, que resultou em uma análise do nível de sustentabilidade desses dois museus, seguindo as referências OCDE. O resultado demonstrou uma efetiva possibilidade de medição dos níveis de sustentabilidade dos museus e mostra também, a potencialidade dos museus para cooperação nos objetivos delineados pela Agenda 2030 do Desenvolvimento Sustentável, elaborado pela Organização das Nações Unidas.

Abstract

Abstract
With the growing research in the field of optical clearing and the various applications of this technique that have been recently developed, more than 1000 agents have been tested in various tissues in the past two decades to evaluate their clearing potential. To optimize the clearing treatments, knowledge on the dispersions and absorption spectra of the agents is necessary. We have gathered experimental and literature data to show that the absorption bands of typical clearing agents are located in the deep ultraviolet range, where the refractive index is significantly high. The desired characteristics for the clearing agents are presented, and their classification in three major groups is indicated. Solutions containing mixtures of optical clearing agents (OCAs) and diluted solutions are also important for certain applications, such as the enhancement of agent delivery or the evaluation of agent diffusion properties. Such applications are referred, and some examples are presented. A simple method to prepare diluted solutions of clearing agents is also described. © 2019, The Author(s), under exclusive license to Springer Nature Switzerland AG.