Abstract
In this study, fetal heart rate signal is used to exemplify the performance of compression and entropy based approaches in biometric identification. A total of 167 pairs of traces from real fetus are analyzed under the popular normalized compression distance, the recently proposed normalized relative compression measure and mutual information measure. The best performance was achieved with the normalized compression distance resulting in a misclassification rate of 12%. Fetal heart rate could be a relevant feature for biometric identification models, namely in multiple pregnancies. © 2018 IEEE.

Abstract
The integration of Renewable Energy Sources, mainly in distribution grids, has been changing the paradigm of power systems operation. This constitutes an opportunity to make use of flexible energy resources to support DSOs and TSOs on network operation activities. The amount of total flexibility available in the system can be quantified starting from lower voltage levels considering the implementation of demand response schemes. This work is focused on the development of an expeditious methodology to assess the total flexibility of low voltage consumers and aggregate it by means of a bottom-up approach until reaching the transmission network nodes.

Abstract
This paper reports the participation of the InfoLab at the TREC Precision Medicine Track 2018. InfoLab is an informal group that brings together researchers with interest in the information area and is located at Faculty of Engineering of University of Porto. The experiments made in this participation include query expansion approaches for the disease and gene concepts. The expansion of the disease terms was done using Unified Medical Language System (UMLS). UMLS is a repository that provides the mapping between a large number of vocabularies. The gene terms were expanded using Ensembl. Ensembl provides a genome browser that maps genes to their synonyms. An additional layer was developed on top of Terrier to provide the execution of a large batch of experiments. Multiple runs were evaluated in order to measure the influence of each expansion approach.

Abstract
We analyze the relationship between cultural values, societal values and the type of the economy with necessity-driven, opportunity-driven and improvement-driven entrepreneurship. We take into account GEM's data from 56 countries. These reports are also used to characterize the three types of entrepreneurship, the societal values and the type of economy. We approach national culture through the five dimensions of Hofstede's work on cultural values using the Values Survey Module 2013 (based on Hofstede's work). Cultural values marginally explain necessity-driven and opportunity-driven entrepreneurship. In turn, societal values only explain improvement-driven entrepreneurship. Finally, the type of economy is important in explaining necessity-driven and opportunity-driven entrepreneurship, however it is of no added value in explaining improvement-driven opportunity. One needs to be cautious when drawing general conclusions as we believe that societal values are failing to capture differences among the types of entrepreneurship analyzed.

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