Abstract
Cyber Physical Systems (CPS) are expected to shape the evolution of production towards the fourth industrial revolution named Industry 4.0. The increasing integration of manufacturing processes and the strengthening of the autonomous capabilities of manufacturing systems make investigating the role of humans a primary research objective in view of emerging social and demographic megatrends. Understanding how the employees can be better integrated to enable increased flexibility in manufacturing systems is a prerequisite to allow technological solutions, as well as humans, to harness their full potential. Humans can supervise and adjust the settings, be a source of knowledge and competences, can diagnose situations, take decisions and several other activities influencing manufacturing performances, overall providing additional degrees of freedom to the systems. This paper, studies two different integration models: Human-in-the-Loop and Human-in-the-Mesh. They are both analysed in the context of four industrial cases of deployment of cyber physical systems in production.

Abstract
In this work, we report the design process for an optimal response of plasmonic sensors, exploiting gold nano-antenna array geometry realized on a D-shaped plastic optical fiber (POF). We have used different nano-slot arrays geometry, made by realizing rectangular slots on the gold layer. The numerical results obtained with different geometrical parameters, such as Slot's length, Slot's width and spacing, are presented. The aim of this work is to consider a different approach to obtain a plasmonic sensor in POFs, in which the geometrical parameters of the slots can modify the sensor's response to the different analytes placed and bound on the gold layer. The polarization of the Magnetic Field and the different patterns of the nano-slot array, for example different spacing among the slots, influence the plasmonic phenomena: Localized Surface Plasmon Resonance, Surface Plasmon Resonance or both. © 2016 The Authors.

Abstract
Heart auscultation is one of the basic exams performed during a patient physical examination, but it is also one that has a high skill ceiling. Decision support systems can provide physicians with a tool that can help to reduce the demanding skill requirements of this exam. Nevertheless, this second opinion needs to be delivered in a timely interval in order to be truly useful for a physician. To do this we need not only optimized algorithms, but also a well designed system. In this paper, we have studied how two different data exchange protocols, that define how data should be transferred from an acquisition to a process module, can impact the celerity of delivering second opinion to a physician. With data collected from real exams, acquired in a field hospital initiative in Brazil, we recreated two use cases that allowed us to measure performance in the form of time and resources spent, as well as power consumption. Results have shown that different data exchange protocols can have a significant impact on a decision support system response time.

Abstract
Learning is understood as an educational activity which aims to help develop the capacities of individuals. These capabilities make individuals able to establish a personal relationship with the environment in which they are inserted. For the learning process to develop the individual has to use its sensory, motor, cognitive, affective and linguistic. Thus, this work aims at studying the effect of emotion in learning systems in online learning environments, analysing the extent to which emotional state can influence the thinking, decision making and learning process.

Abstract
This work reports the treatment of crystallized-fruit effluents, characterized by a very low biodegradability (BOD5/COD <0.19), through the application of a UV-A LED photo-Fenton process. Firstly, a Box-Behnken design of Response Surface Methodology was applied to achieve the optimal conditions for the UV-A LED photo-Fenton process, trying to maximize the efficiency by saving chemicals and time. Under the optimal conditions ([H2O2] = 5459 mg/L; [Fe3+]= 286 mg/L; time >180 min), a COD removal of 45, 64 and 74% was achieved after 360 min, using an irradiance of 23, 70 and 85 W/m(2) respectively. Then a combination of UV-A LED photo-Fenton with coagulation flocculation decantation attained a higher COD removal (80%), as well as almost total removal of turbidity (99%) and total suspended solids (95%). Subsequent biodegradability of treated effluents increased, allowing the application of a biological treatment step after the photochemical/CFD with 85 W/m(2).

Abstract