Abstract
The number and size of 3D object repositories have been increasing at a considerable rate. Consequently, finding a specific 3D model in such collections is getting more difficult. Current 3D search engines do not take advantage of novel interaction technologies, usually presenting query results in grids of thumbnails. This greatly hinders objects' interpretation and allows little to none manipulation at all. Immersive environments are believed as promising solutions for displaying 3D models, allowing complete representations of the models. These environments can be enhanced with multimodal techniques for a more natural interaction. In this paper we present a prototype that uses immersive visualization and mid-air interactions to explore query results in a dataset with 3D objects, using one of four different visualization modes. We evaluated these modes with 29 users and concluded that our immersive approaches are preferred by users and, albeit novel, perform at par relatively to traditional bi-dimensional grids with thumbnails.

Abstract
This book presents a careful selection of the contributions presented at the Mathematical Methods in Engineering (MME10) International Symposium, held at the Polytechnic Institute of Coimbra- Engineering Institute of Coimbra (IPC/ISEC), Portugal, October 21-24, 2010. The volume discusses recent developments about theoretical and applied mathematics toward the solution of engineering problems, thus covering a wide range of topics, such as: Automatic Control, Autonomous Systems, Computer Science, Dynamical Systems and Control, Electronics, Finance and Economics, Fluid Mechanics and Heat Transfer, Fractional Mathematics, Fractional Transforms and Their Applications, Fuzzy Sets and Systems, Image and Signal Analysis, Image Processing, Mechanics, Mechatronics, Motor Control and Human Movement Analysis, Nonlinear Dynamics, Partial Differential Equations, Robotics, Acoustics, Vibration and Control, and Wavelets. © Springer Science+Business Media Dordrecht 2014.

Abstract
An aneurysm is a life-threatening condition,which left untreated may burst or rupture, causing massive blood loss. One of the currently available treatments for aortic aneurysms is endovascular aneurysm repair (EVAR). However, in spite of major advances in the surgical techniques, complications are still likely to occur making it recommendable to maintain lifelong surveillance. In order to reduce and even eliminate current surveillance imaging exams, as well as to reduce follow-up costs, new technological solutions are being pursued. The work presented herein aims to develop a novel and dependable non- invasive coronary stent-graft monitoring system based on RFID technology. The monitoring system uses an inductive coupling interface to capture the pressures given by a cluster of sensors placed on the stent-graft's wall. The application of multimodal data fusion techniques enables the improvement of the surveillance system performance in terms of accuracy, robustness and reliability. The processing of the pressure signalsmeasured inside the aneurysm sac with other physiological signals - electrocardiogram (ECG) and arterial blood pressure (ABP) - will allow obtaining better monitoring resolution and reliability. The techniques utilized to diagnose deviations fromthe normal operation or faults in the flexible pressure sensors are described and tested, showing promising results for achieving a highly reliable system. © 2014, Springer International Publishing Switzerland.

Abstract
In the current global market organizations face uncertainties and shorter response time. In order to remain competitive many organizations adopted flexible resources capable of performing several operations with different performance capabilities. The unrelated parallel-machines makespan minimization problem (Rm||Cmax) is known to be NP-hard or too complex to be solved exactly. Among the several heuristics used for solving this problem, it is possible to identify MCT (Minimum Completion Time) that allocates tasks in a random order to the minimum completion time machine. This paper proposes an ordered approach to the MCT heuristic. MOMCT (Modified Ordered Minimum Completion Time), which will order tasks in accordance to the mean difference of the completion time on each machine and the minimum completion time machine. The computational study demonstrated the improved performance of the proposed ordered approach to the MCT heuristic.

Abstract
In the context of globalization of contemporary service economies there is an increasing need for interoperability, standardization and submission of service processes to common norms and regulations. This stimulates the research effort in elaboration of generic, unified approaches in service processes design. Service Science emerged in the past decade as an interdisciplinary specialization of systems theory, but there is still lack of consensus on its theoretical foundations. Starting from the comparative analysis of some relevant generic service models reported in the literature, the paper raises some specific questions regarding the research effort in this area and, based on a Service Science worldview of a service system and on the generic phases of a business process, deduces a generic model of a service process lifecycle, including part of the ISPAR states. Finally, a simple example from the educational service sector is discussed.

Abstract
Objective: to identify diet quality time trends in Portuguese elderly households and the association of diet quality with sociodemographic characteristics. Design: Set of four cross-sectional studies. Setting: Portuguese population. Subjects: nationally representative samples from Household Budget Surveys (1989-1990, 1994-1995, 2000-2001 and 2005-2006 versions). Households with members aged >= 65 years were categorized as solitary elderly female, solitary elderly male, or elderly couple (composed of one elderly female and one elderly male) and compared with adult households with the same composition. Methods: Diet quality was assessed through a revised version of the Healthy Diet indicator (HDIr). Univariate and multiple backward linear regression models were used to study the association with sociodemographic characteristics. Results: Mean values of dietary index were low and the proportion of elderly households with low diet quality (HDIr <= 4) was high (between 47.4% and 68.4%). However, the frequency of HDIr inadequacy for adult household was even higher (P<0.05). in general, adjusted coefficients for survey year, educational level of the household head, and eating out expenses were inversely associated with HDIr; whilst semi-urban and rural location of the households predicted higher HDIr values. exceptions were found in elderly male households where the educational level of the household head was positively associated with HDIr values. Conclusions: overall, diet quality was low and decreased over time but lonely elderly female and elderly couple households had higher values of HDIr. adherence to a healthier diet was associated with lower educational level of the household head and location of the household in less urbanized areas.