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.

Abstract
The Assembly Line Part Feeding Problem (ALPFP) is a complex combinatorial optimisation problem concerned with the delivery of the required parts to the assembly workstations in the right quantities at the right time. Solving the ALPFP includes simultaneously solving two sub-problems, namely tour scheduling and tow-train loading. In this article, we first define the problem and formulate it as a multi-objective mixed-integer linear programming model. Then, we carry out a complexity analysis, proving the ALPFP to be NP-complete. A modified particle swarm optimisation (MPSO) algorithm incorporating mutation as part of the position updating scheme is subsequently proposed. The MPSO is capable of finding very good solutions with small time requirements. Computational results are reported, demonstrating the efficiency and effectiveness of the proposed MPSO.

Abstract
The knowledge on diet composition of the freshwater mussel Diplodon enno (Ortmann) would aid in its culture and propagation allowing, this way, the replacement of natural endangered populations in Brazil. Microalgae are the main food source for captive mussels and unionids have displayed an ability to sort algae based on the cellular characteristics prior to ingestion. The main objective of the present work is to analyze the phytoplankton composition of the water from and of the gastrointestinal contents of the mussel D. enno, as an initial step for development of a suitable rearing diet. Therefore, water samples and bivalve specimens were collected from S. Francisco River, city of Paulo Afonso, Bahia, Brazil. The microalgal composition found in water and stomach/gut content samples was very diverse being represented by the following divisions: Cyanophyta, Chlorophyta, Dinophyta and Heterokontophyta (Diatoms). Concerning the relative abundance of microalgae divisions, it is possible to state, for the water and gastrointestinal contents, that Cyanophyta represents 15% and 14%, Chlorophyta 54% in both, Heterokontophyta 31% and 27% and Dinophyta 0% and 5%, respectively. According to the Brazilian CETESB criteria for phytoplankton species classification, 50% of Cyanophyta and 15% of Chlorophyta species observed in the water samples were classified as "very frequent", as were 68% of Heterokontophyta and 33% of Chlorophyta species in the gut/stomach tract samples. Focusing at a species level, although in the water only Coelastrum sp. and Chroococcus sp. were observed in 100% and 75% of the samples, respectively, in the gastrointestinal tract the species Staurastrum sp., Aulacoseira sp., Scenedesmus sp. and Fragilaria crotonensis occurred in 80% to 100% of the samples. The present results showed that D. enno feeds not only on small chlorophytes microalgae, due to their convenient size that facilitates higher feeding rates, but also on large size diatoms, due to a possible nutritional advantage for the bivalves. Thus, a diet composed by large diatoms and small chlorophytes microalgae may be considered as the most reasonable for the maintenance of D. enno populations.