Abstract
This paper presents an approach based on parity equations for the problem of fault diagnosis in Buck and Boost converters. The basic idea of this method consists of to formulate a set of residues that compare the difference between the signals measured from the power circuit with an equation model describing the nominal behavior of the power converter. The fault detection algorithm is based on checking the residuals of the inductor current and output voltage. The fault signatures matrix was obtained using a theoretical analysis of residuals in order to establish an appropriate and effective fault isolation algorithm for converters running in continuous mode. Simulation results demonstrate the effectiveness of the method to isolate the main faults in the Buck and Boost power converters. © 2020 IEEE.

Abstract
Question Answering (QA) and Question Generation (QG) have been subjects of an intensive study in recent years and much progress has been made in both areas. However, works on combining these two topics mainly focus on how QG can be used to improve QA results. Through existing Natural Language Processing (NLP) techniques, we have implemented a tool that addresses these two topics separately. We further use them jointly in a pipeline. Thus, our goal is to understand how these modules can help each other. For QG, our methodology employs a detailed analysis of the relevant content of a sentence through Part-of-speech (POS) tagging and Named Entity Recognition (NER). Ensuring loose coupling with the QA task, in the latter we use Information Retrieval to rank sentences that might contain relevant information regarding a certain question, together with Open Information Retrieval to analyse the sentences. In its current version, the QG tool takes a sentence to formulate a simple question. By connecting QG with the QA component, we provide a means to effortlessly generate a test set for QA. While our current QA approach shows promising results, when enhancing the QG component we will, in the future, provide questions for which a more elaborated QA will be needed. The generated QA datasets contribute to QA evaluation, while QA proves to be an important technique for assessing the ambiguity of the questions. © 2020, IFIP International Federation for Information Processing.

Abstract
Childhood obesity is associated with unbalanced lifestyle patterns, and new strategies are needed to support parents in the compliance with the guidelines for children's age. Tailored automatic recommendations mimic interpersonal counseling and are promising strategies to be considered for health promotion programs. This study aimed to develop and test a mobile recommendation system for parents of preschool children identified with overweight/obesity at health care centers. Evidence-based recommendations related to children's eating, drinking, moving, and sleeping habits were developed and tested using a questionnaire. A pilot study was conducted in a health care center to test how using an app with those tailored recommendations, in video format, influenced parents' perceptions of the child's weight status and their knowledge about the guidelines, compared to a control group. The chi-squared test was used for categorical variables and the Mann-Whitney U test for continuous variables (p< 0.05). A high proportion of parents were already informed about the guidelines, but their children were not meeting them. After watching the tailored recommendations, there was an increased knowledge of the guideline on water intake, but there was no improvement in the perception of the child's excessive weight. Parents may benefit from a mobile-based tailored recommendation system to improve their knowledge about the guidelines. However, there is a need to work with parents on motivation to manage the child's weight with additional strategies.

Abstract
Although the growing concern to make museums accessible to individuals with visual impairments, their participation in these institutions is still limited, given the multiple barriers they often experience and the lack of assistive technologies to promote access. This research investigates the perspectives of 72 blind and partially sighted individuals on enhancing their visiting experience in museums. A co-created framework to improve visitors' autonomy is proposed, concluding that sensory, intellectual and physical access must be integrated into the pre, on-site and post phases of visiting museums.

Abstract

Abstract
The current progress of modern medicine is based on the resistance of malignant tumors in advanced medical treatments, as well as on the need to develop new therapeutic approaches. In the last few years, numerous studies have focused their attention on the promising use of nanomaterials, such as nanowires, zinc oxide, or mesoporous silica nanoparticles, among others. All these particles are studied in the treatment of cancer and metastasis prevention with the advantage of operating directly at the biomolecular scale. These are innovative designs of magnetic nanomaterials based on a core/shell approach that started to gain prominence due to their versatility to tailor properties of both core and shell and to offer multifunctionality, such as core protection, biofunctionalization platform, toxicity reduction, and enhanced biocompatibility. These nanowire structural improvements allow the development of new bioanalytical chemistry and medical diagnostics advanced tools that will bring about a new age of nanotechnology with widespread use of nanowires for biomedical applications.