Abstract
Data has increased in a large scale in various fields leading to the coin of the term Big Data. Big data is mainly used to describe enormous datasets that typically includes masses of unstructured data that may need real-time analysis. As human behaviour and personality can be captured through human-computer interaction a massive opportunity opens for providing wellness services. Through the use of interaction data, behavioral biometrics can be obtained. The usage of biometrics has increased due to several factors such as the rise of power and availability of computational power. One of the challenges in this kind of approaches has to do with handling the acquired data. The growing volumes, variety and velocity brings challenges in the tasks of pre-processing, storage and providing analytics. In this sense, the problem can be framed as a Big Data problem. In this work it is intended to provide an architecture that accommodates the data pipeline of data generated by human-computer interaction, providing real time data analytics on behavioral biometrics.

Abstract
An abrupt transition from sinus rhythm to atrial fibrillation (AF) is common in patients with chronic heart failure (CHF). We propose a conceptual framework for viewing this malignant transition in terms of a type of sublimation marked by the switch from highly periodic sinus interbeat interval dynamics characteristic of CHF to a state of random disorganization with AF. Sublimation of physical substances involves an increase in entropy via heat transfer. In contrast, the disease-related sublimation-like behavior involves a loss of information content, associated decreases in cardiac bioenergetic capacity and in multiscale entropy. © 2016 Wiley Periodicals, Inc. Complexity 21: 24–32, 2016. © 2016 Wiley Periodicals, Inc.

Abstract
The emergence of the smart grid concept led to different proposals for the organization of distributed energy resources (DER), control processes, and management functionalities, instantiated in distinct architectures. Besides the usual scientific publications about the theme, a number of projects, namely, in the Framework Programs FP6 and FP7 and Horizon 2020 (H2020) of the European Union, have been developed in the recent years, addressing this theme directly and indirectly. Commercial solutions are already available for total or partial implementation of smart grids, namely, regarding network automation and enhanced network operation smart appliances. On the other hand, some pilots and demonstration projects that field-tested architectures and functionalities and assessed the impact of the changes in the electric power systems derived from the implementation of smart grid concepts have been deployed throughout the world. This chapter reviews the most relevant elements of this kind, compares the main options for the overall architectures, and details the analysis of some specific functionalities, indispensable for the real implementation of the smart grid paradigm. © 2016 John Wiley & Sons, Ltd. All rights reserved.

Abstract
E-commerce notably increases the reach of enterprises, bringing a firm's products and services into the international arena. In times of shrinking domestic markets, due to national crises, becoming available in global markets is essential for survival and growth. We have thus held three focus group interactions to produce a set of strategic recommendations with regards to how to improve e-Commerce adoption levels in Iberian enterprises, essential in times of local hardship and market contraction. Suggestions include creating actions to influence governments to re-evaluate the legislation that regulates e-Commerce, making it more transparent; encouraging venture capitalists, banks and business angels to finance such e-Commerce endeavors; encouraging higher education institutions (HEI) to partner with Iberian enterprises to ensure knowledge transfer in both directions; creating, with HEI and training organizations, a set of new training courses directed at Iberian enterprises and focusing on concepts such as Web 2.0 capabilities and a coherent online organizational identity. Fundamental is the perspective that e-Commerce is a strategic issue, warranting funds and qualified personnel, at different levels in the hierarchy, for adequate strategic e intent, e-vision, and e-mission formulation, followed by effective e-process implementation.

Abstract
In similar conditions of food handling and genetics, there are large differences in the final productivity of farms, resulting from inherent factors of the production system. This fact predisposes the need of studies on optimizing the rearing conditions of the farms, in order to verify the main limitations for the producers. Therefore, the present study aims to generate predictions of the swine productivity in the finishing phase, using variables related to their profiles and the production results achieved. 107 farmers belonging to a swine cooperative were considered in the study, located in 47 counties at the Taquari valley region, Brazil. Predictions were generated through the aid of neural networks, and the findings show that Artificial Neural Networks (ANN) can predict the productivity variables Feed Conversion, Mortality and Average Daily Gain for the proposed case. © 2016 Brazilian Operations Research Society.

Abstract
This paper presents work-in-progress of the POSTDATA project. This project aims to provide means to solve the interoperability issues that exist among the digital poetry repertoires. These repertoires hold data of poetry metrics that is locked in their own databases and it is not freely available to be compared and to be used by intelligent machines that could infer over the data. The POSTDATA project will use Linked Open Data (LOD) technologies to overcome the interoperability problems. POSTDATA is developing a metadata application profile (MAP) for the digital poetry repertoires, a construct that enhances interoperability. This development follows the method for the development of MAP (Me4MAP). A MAP for the digital poetry repertoires will open doors for these repertoires to be able to structure the data with a common model in order to publish it as Linked Open Data. This paper presents how this MAP is being developed so far.