Abstract
This paper presents a tool (iMPAcT) that automates testing of mobile applications based on the presence of recurring behaviour, UI Patterns. It combines reverse engineering, pattern matching and testing. The reverse engineering process is responsible for crawling the application, i.e. analysing the state of the application and interacting with it by firing events. The pattern matching tries to identify the presence of UI patterns based on a catalogue of patterns. When a UI Pattern from the catalogue is detected, a test strategy is applied (testing). These test strategies are called UI Test Patterns. These three phases work in an iterative way: the patterns are identified and tested between firing of events, i.e. the process alternates between exploring the application and testing the UI Patterns. The process is dynamic and fully automatic not requiring any previous knowledge about the application under test. This paper presents the results of an experiment studying the reliability of the results obtained by iMPAcT. The experiment involved 25 applications found on Google Play Store and concludes that iMPAcT is successful in identifying failures in the tested patterns and that the degree of certainty of an identified failure being an actual failure is high.

Abstract
Environmental policies could accelerate the replacement of Internal Combustion Engine Vehicles (ICEV) by Plug-in-Electric Vehicles (PEV) in many countries. However, in countries where these policies are still not implemented (for example those with no significant PEV subsidies like Spain), technical and economic criteria can also be relevant to assess the future PEV penetration. This work develops a new long-term expansion model that computes the share of PEV and ICEV based on economic criteria, including the impact of PEV on the electricity price and generation mix. The model minimizes the power and transport system costs (investment, operation and maintenance costs, etc.) considering electricity and private transportation needs. Results provide insight on the combined evolution of the renewable generation and of the PEV and ICEV future fleets in Spain, considering environmental constraints such as those imposed by the European Commission.

Abstract
The classroom will always present great challenges to the teachers. It is important to know how to provide learning to a new generation of students and to try to understand how students learn today. Each student arrives at school with a diversity of knowledge resulting from their own life experience, probably divergent from that of their colleagues. On the other hand, the domain of the new Information and Communication Technologies (ICTs) is part of their own experience. The teacher/student relationship is becoming more and digital and, therefore, the limitations of space are more and more reduced. ICTS have greatly altered the way students have access to knowledge, how they share it or how they simply organize the work. Thus, traditional pedagogical strategies and processes must integrate technologies, as a way to apply new work methodologies that value the students' reflection and critical thinking. In return, technology will bring them closer to knowledge, increasing their autonomy and consequent motivation. This work aimed at introducing the topic of sustainable mobility, so that electric vehicles become a growing reality in everyday life. A power generation system was proposed using a grid of photovoltaic panels, which in turn will allow the sustained feeding of a quick charging station. The surplus of electricity produced by the grid of panels can be used to meet the energy needs of a service station. A varied range of software tools were used to address the challenge. This article aims at discussing the use of different software in the educational environment, highlighting the advantages, as well as the difficulties associated with the approach. Several educational software types were used in the final project of a master's degree in ISEC (Instituto Superior de Engenharia de Coimbra). Software tools are an effective way to train students. The use of virtual reality tools in concept teaching of fast charging stations was quite effective in the improvement of students.

Abstract
Hospital Information System is the most fragile component of the health care system in the countries in development process. The modernization of the health care system does not integrate a rigid reflection on the installation of these tools into hospitals, which remain foreign with the strategies of these countries. The main objective of this research is to present a systematic review on the relationship between process approach and continuous improvement with the development and continuity of hospital information systems. Hospital Information System and its sustainability are key factors for the functioning of services in Hospital Institutions which requires principles respect of quality management as the process approach among others. The main question to be treated in this paper is " Which reasons have been given for the views that the process approach is or isn't helping to have and give a Hospital Information System in continuous development?", in order to contribute to the systematization of knowledge in this area, the main objective of this research is to present a systematic review on the relationship between process approach and continuous improvement with the development and continuity of hospital information systems. The systematic review methodology was the PRISMA Statement (R), the search granted to find 7735 based on defined key-words, and after a preliminary examination, according to the exclusion conditions and the eligibility criteria 20 papers were considered relevant to a more detailed study. After an analysis of all relevant documents we have tried to reveal the important gap, which we will try to explore more in future investigations.

Abstract
Resource efficiency is a crucial step for manufacturing companies to improve their operations performance and to reduce waste generation. However, there is no guarantee of a zero waste scenario and companies need to look for new strategies to complement their resource efficiency vision. Therefore, it is important to enroll in an industrial symbiosis strategy as a means to maximize industrial value capturing through the exchange of resources (waste, energy, water and by-products) between different processes and companies. Within this, it is crucial to quantify and characterize the waste, e.g. to have clear understanding of the potential industrial symbiosis hot spots among the processes. For such characterization, it is proposed to use an innovative process efficiency assessment approach. This empowers a clear understanding and quantification of efficiency that identifies industrial symbiosis hot spots (donors) in low efficiency process steps, and enables a plausible definition of potential cold spots (receivers), in order to promote the symbiotic exchanges. (C) 2018 The Authors. Published by Elsevier B.V.

Abstract
A system for the identification of pollen grains in bright-field microscopic images is presented in this work. The system is based on segmentation of raw images and binary classification for 3 types of pollen grain. The segmentation method developed tackles a major difficulty of the problem: the existence of clustered pollen grains in the initial binary images. Two different SVM classification kernels are compared to identify the 3 pollen types. The method presented in this paper is able to provide a good estimate of the number of pollen grains of Olea Europea (relative error of 1.3%) in microscopic images. For the two others pollen types tested (Corylus and Quercus), the results were not as good (relative errors of 14.5% and 20.3%, respectively).