Abstract
Genetic improvement in grapevine (Vitis vinifera L.) is performed mainly through clonal selection processes. This procedure takes advantage of the intro-varietal genetic variability existing in ancient varieties. It focuses on the selection of the most promising genotypes for certain quantitative characteristics, such as yield, soluble solids content, acidity, anthocyanins, tannins, among others, always preserving the intra-varietal diversity. In the present work, we evaluated the performance of 30 clones of Tempranillo' grape in two distinct trial sites at the Douro Demarcated Region (DDR), Cavernelho and Sao Luiz, during two consecutive years, measuring phytochemical content and oenological potential parameters. Significant differences between clones related to phytochemical content and antiradical activity, were observed in the Cavernelho and Sao Luiz fields, besides some oenological parameters in Sao Luiz. Among years, significant differences for clones, in total phenols and antiradical activity by the DPPH method were observed in both fields. In Sao Luiz, such differences were also found for the contents in anthocyanins, flavonoids and ortho-diphenols. Concerning the differences between samples from the same clone in the two fields, the greatest number of significant differences was observed for the anthocyanins content in 2016. A set of ten Tempranillo' grape clones displayed behavioral stability associated with appropriate values of soluble solids, titratable acidity and phytochemical content.

Abstract
EGFR and KRAS are the most frequently mutated genes in lung cancer, being active research topics in targeted therapy. The biopsy is the traditional method to genetically characterise a tumour. However, it is a risky procedure, painful for the patient, and, occasionally, the tumour might be inaccessible. This work aims to study and debate the nature of the relationships between imaging phenotypes and lung cancer-related mutation status. Until now, the literature has failed to point to new research directions, mainly consisting of results-oriented works in a field where there is still not enough available data to train clinically viable models. We intend to open a discussion about critical points and to present new possibilities for future radiogenomics studies. We conducted high-dimensional data visualisation and developed classifiers, which allowed us to analyse the results for EGFR and KRAS biological markers according to different combinations of input features. We show that EGFR mutation status might be correlated to CT scans imaging phenotypes; however, the same does not seem to hold for KRAS mutation status. Also, the experiments suggest that the best way to approach this problem is by combining nodule-related features with features from other lung structures.

Abstract
The breakdown of Dennard scaling has resulted in a decade-long stall of the maximum operating clock frequencies of processors. To mitigate this issue, computing shifted to multi-core devices. This introduced the need for programming flows and tools that facilitate the expression of workload parallelism at high abstraction levels. However, not all workloads are easily parallelizable, and the minor improvements to processor cores have not significantly increased single-threaded performance. Simultaneously, Instruction Level Parallelism in applications is considerably underexplored. This article reviews notable approaches that focus on exploiting this potential parallelism via automatic generation of specialized hardware from binary code. Although research on this topic spans over more than 20 years, automatic acceleration of software via translation to hardware has gained new importance with the recent trend toward reconfigurable heterogeneous platforms. We characterize this kind of binary acceleration approach and the accelerator architectures on which it relies. We summarize notable state-of-the-art approaches individually and present a taxonomy and comparison. Performance gains from 2.6x to 5.6x are reported, mostly considering bare-metal embedded applications, along with power consumption reductions between 1.3x and 3.9x. We believe the methodologies and results achievable by automatic hardware generation approaches are promising in the context of emergent reconfigurable devices.

Abstract

Abstract
The Information and Communication Technologies (ICT) plays a major role in tourism, travel and hospitality industry. The Integration of ICT in the tourism industry is essential for success of tourism enterprise, as such it is necessary to integrate ICT in higher education curricula. This paper analyzes the relevance given by the various Portuguese and Spanish institutions of higher education to ICT in their degrees. The analysis carried out was done in degree courses operating in the academic year 2018/2019, in Portuguese and Spanish universities and polytechnics. A comparison was also made with the reality of 2012/2013. Copyright © 2020. Elisabete PAULO MORAIS, Carlos R. CUNHA and João Pedro GOMES. Distributed under Creative Commons Attribution 4.0 International CC-BY 4.0.

Abstract
Common beans (Phaseolus vulgaris L.), represent the most consumed legume worldwide and constitute an important source of protein, being also known to contain antinutritional compounds, which compromise nutrients' bioavailability. However, the standard methodologies to assess these constituents are time-consuming and complex. Therefore, the present study evaluated the suitability of near-infrared (NIR) and mid-infrared (MIR) spectroscopies for the development of simple and reliable methods to assess protein, lipids, tannins and phytic acid contents, besides specific amino acids, in whole bean flours. Partial least squares (PLS) regression was used to develop analytical models, and external validation was performed. NIR displayed better performance for the evaluation of protein, lipids, tannins and phytic acid contents, and MIR, for the assessment of specific amino acids. In both techniques, the use of the 1st derivative was the best data treatment. Overall, both techniques represent reliable methods to evaluate the proximate and antinutritional composition of bean flours.