Abstract
The amount of distributed generation (DG) the network can host depends on a number of parameters such as the characteristics of the generation units and their daily generation profiles, the characteristics of the network and its configuration, the hourly load profiles as well as national and regional grid code requirements. The high penetration of renewable energy sources (RES) in the distribution networks (DN), namely in medium voltage (MV) grids, may lead to reverse active power flows, to voltage rises and to an increase in voltage distortion due to the large use of power-electronic converters as generation interfaces with the grid, which may limit the hosting capacity (HC) of RES. This paper is intended to describe a new approach for identifying the HC for the integration of RES in electrical distribution systems. This is a planning tool based on the multi-period optimal power flow (MP-OPF) which aims to maximize the HC for DG under thermal and voltage constraints, involving also the verification of the harmonic voltage distortion via a set of current harmonic flow calculations, following a known current harmonic injection profile for each DG unit to be connected on grid. The case study shows that harmonic distortion limits may have substantial impacts on the allowable penetration of DG, for instance, due of the characteristics of DN and its configuration, the hourly load and generation profiles.

Abstract
A random-key genetic algorithm is an evolutionary metaheuristic for discrete and global optimization. Each solution is encoded as an array of n random keys, where a random key is a real number, randomly generated, in the continuous interval [0,1] A decoder maps each array of random keys to a solution of the optimization problem being solved and computes its cost. The algorithm starts with a population of p arrays of random keys. At each iteration, the arrays are partitioned into two sets, a smaller set of high-valued elite solutions and the remaining nonelite solutions. All elite elements are copied, without change, to the next population. A small number of random-key arrays (the mutants) are added to the population of the next iteration. The remaining elements of the population of the next iteration are generated by combining, with the parametrized uniform crossover of Spears and DeJong (On the virtues of parameterized uniform crossover. In: Proceedings of the fourth international conference on genetic algorithms, San Mateo, pp 230-236, 1991), pairs of arrays. This chapter reviews random-key genetic algorithms and describes an effective variant called biased random-key genetic algorithms.

Abstract
The present paper presents the conceptual mechanical design of a Standing Frame for children with mental deficiency. Those children deal with great difficulties in maintaining a correct biped posture, hindering certain system organs to work in its fullness. Thus, the target goal of this project is to provide a correct biped posture to the child with mental deficiency. To achieve this goal there were defined the main goals that the standing frame should fulfil: safety, comfort, adaptability, attractiveness and accessibility. After the definition of certain functions and specifications the final solution comes up. For this solution it was selected metallic materials (structure of the Standing Frame) and polymeric materials (supports). It was also needed to select a lifting system, to lift the child from the seat to the biped position. The best solution found was an hydraulic, linear and single acting actuator. In order to ecologically guide the project it was chosen materials with fabrication and recycling processes that allow the final solution to be the most ecologic as possible. (C) 2018 The Authors. Published by Elsevier B.V.

Abstract
Applying ethical principles to research is essential to ensure both participants’ universal rights and data quality. From the ethical point of view, researching with children poses additional challenges in designing the research, collecting and analysing data. The ethical principles generally accepted in scientific research are complementary, yet presenting conflicts that must be anticipated and mitigated by the researcher. This article explores the application of ethical principles in research with children, considering the different stages of research and both quantitative and qualitative research, proposing a set of six ethical principles to be applied before, during, and after the collection of data. The text includes examples from research adopting a mixed-method approach which involved 779 participants aged 7 to 15 years old. The study demonstrates that there is a strong interdependence among ethical principles applicable to research with children, not devoid of contradictions. Even widely accepted principles such as informed consent are complex and multifaceted. Moreover, the adoption of mixed methodology, in this particular case, has proven to be able to create ethic synergies, making the research globally more balanced. © Springer International Publishing AG 2018.

Abstract

Abstract
With the rapid growth in the use of digital platforms for the dissemination and expansion of a company’s business reach, it is vitally important that startup firms are firmly aware of the options when deciding whether to adopt a particular technology because they often have low resource availability, which reduces their margin for error. In order to help these companies to adopt Digital Marketing in a more secure way by knowing the most relevant factors that they can find as concerns the adoption of technologies, this study will analyze the factors that influence the adoption of technology, identifying them initially through the systematic literature review of similar scientific works. © Springer International Publishing AG 2018.