Abstract
Recommender systems still mainly base their reasoning on pairwise interactions or information on individual entities, like item attributes or ratings, without properly evaluating the multiple dimensions of the recommendation problem. However, in many cases, like in music, items are rarely consumed in isolation, thus users rather need a set of items, selected to work well together, serving a specific purpose, while having some cognitive properties as a whole, related to their perception of quality and satisfaction, under given circumstances. In this paper, we introduce the term of playlist concept in order to capture the implicit characteristics of joint music item selections, related to their context, scope and general perception by the users. Although playlist consumptions may be associated with contextual attributes, these may be of various types, differently influencing users' preferences, based on their character and emotional state, therefore differently reflected on their final selections. We highlight on the use of this term in HybA, our hybrid recommender system, to identify clusters of similar playlists able to capture inherit characteristics and semantic properties, not explicitly described in them. The experimental results presented, show that this conceptual clustering results in playlist continuations of improved quality, compared to using explicit contextual parameters, or the commonly used collaborative filtering technique.

Abstract
Refractive index sensors based on localized surface plasmon resonance are presented through the fabrication of gold nano-islands on top of optical fiber tips. Repeated dewetting process led to an increase of sensitivity from 60 to 186nm/RIU.

Abstract
This paper evaluates the success of an innovative web platform created in 2011 by the Institute for Financing Agriculture and Fisheries (IFAP) named "IFAP Private Account" in which the farmer was registered and accessed their data, their history of correspondence with the Institute, checking the forms they had already submitted as well inspections carried out in the field or administratively. In 2011 the ordinance 86/2011 was published that dictated new procedures by the Institute of Financing of Agriculture and Fisheries, I.P. (IFAP) as the institution allocated the managing of the EAGF (European Agricultural Guarantee Fund) and the EAFRD (European Agricultural Fund for Rural Development). Gradually, the functionalities included in this platform increased the possibility for farmers to submit application forms in their own private accounts. Later, in 2014, IFAP released an APP for Android and iOS smartphones where the beneficiary has access to his or her private account in a faster and more convenient way. For the enabling framework of the target audience of the study it was imperative to do a literature review to carry out an economic and social analysis of the sector and the population living in rural areas and manual labour and agricultural entrepreneurs. Therefore, to understand and characterize IFAP's target public (farmers/beneficiaries) as well as the wherewithal and knowledge they have to access their own private account in an autonomous way, quantifying and characterizing the type of access was a priority. Headquartered in low-density areas, agricultural entrepreneurs present unique opportunities for innovation and differentiation and, at the same time, experience several barriers to growth. Some of these barriers are mentioned in the article in order to raise awareness of the difficulties presented by farmers and inhabitants of rural and peripheral areas. Thus, surveys were directed to farmers and technicians in grassroots entities (associations and cooperatives) in order to understand whether users carry out access to the reserved area autonomously or if they need assistance from others in doing so.

Abstract
The problem of sequencing jobs on a single machine to minimize total cost (earliness and tardiness) is nowadays not just important due to traditional concerns but also due to its importance in the context of Collaborative Networked Organizations and Virtual Enterprises, where precision about promptly responses to customers' requests, along with other important requirements, assume a crucial role. In order to provide a contribution in this direction, in this paper the authors contribute with an applied constructive heuristics that tries to find appropriate solutions for single machine scheduling problems under different processing times and due dates, and without preemption allowed. In this paper, two different approaches for single-machine scheduling problems, based on external and internal performance measures are applied to the problem and a comparative analysis is performed. Computational results are presented for the problem under Just-in-Time and agile conditions on which each job has a due date, and the objective is to minimize the sum of holding costs for jobs completed before their due date and tardiness costs for jobs completed after their due date. Additional computational tests were developed based on different customer and enterprise oriented performance criteria, although preference is given to customer-oriented measures, namely the total number of tardy jobs and the maximum tardiness.

Abstract

Abstract
In this paper, a hybrid single-objective metaheuristic, named as C-DEEPSO (Canonical Differential Evolutionary Particle Swarm Optimization), is proposed to solve large-scale optimization problems. C-DEEPSO can be viewed as an evolutionary algorithm with recombination rules borrowed from PSO or an swarm optimization method with selection and self-adaptiveness properties. To assess the algorithm performance, the algorithm is run over 15 benchmark continuous problems presented in CEC'2015. The algorithm is also applied over a real world large-scale problem. The results indicate that the proposed algorithm is an efficient and competitive method to handle such problems. The experimental results also show that the new approach reaches competitive results when compared to the reference algorithm DECC-G. An application of C-DEEPSO were perform to solve the electric dispatch in a large scale energy network, the IEEE 57 Bus-System. The results show that the algorithm is a good way to solve nonlinear problems respecting many constraints associated.