Abstract
Purpose - The purpose of this paper is to create a movement within the service research community that aspires to help the billions of impoverished people across the world achieve better service from each other, from their communities, from corporations, from their governments, and from nongovernmental organizations. The authors believe every human being is worthy of being served properly. To achieve this purpose, understanding and learning from this huge low-income segment of society known as the base of the pyramid (BoP) is essential. There are myths about the BoP that need to be dispelled and there is a fundamental lack of service research on this important problem. Design/methodology/approach - The existence of an extensive BoP literature combined with service research priorities has called attention to drafting research agendas. Human service systems are explored historically and systems theory provides a perspective for understanding and reducing poverty. Transformative service research, service design research, and community action research are presented to illustrate three research approaches that can contribute to understanding and then better serving the needs of the neglected billions of humanity. Findings - First, the authors present a practical and meaningful call to action by making the case for the service research community to contribute to poverty alleviation with the creation of fresh ideas and research agendas. Second, the authors describe the ample opportunity for conducting service research in and with the BoP and thereby expanding service knowledge about the BoP. Third, the authors suggest a number of approaches for service researchers to join this new movement and help improve the well-being of billions of impoverished people. Social implications - Most existing service research comes from highly developed Anglo-Saxon countries and concerns the service problems of customers in affluent societies. Therefore, there is a fundamental lack of service research at the BoP. The social implications are truly global. Poverty is a global service system problem that can be reduced. Effective poverty alleviation solutions in one part of the world can be adapted to other parts of the world. Originality/value - This paper is a new and very original call to action to the service research community. First, with the exception of a few previous manuscripts calling for research on the BoP, this is the first time a collaborative effort has been made to start systematically changing this knowledge gap. Second, the service research community has never worked on a project of this magnitude. The authors hope to offer a role model to other academic communities as to how to marshal their resources to have a collective, positive impact on the well-being of the world's impoverished.

Abstract
Multimedia content consumption is very popular nowadays. However, not every content can be consumed in its original format: the combination of content, transport and access networks, consumption device and usage environment characteristics may all pose restrictions to that purpose. One way to provide the best possible quality to the user is to adapt the content according to these restrictions as well as user preferences. This adaptation stage can be best executed if knowledge about the content is known a-priori. In order to provide this knowledge we classify the content based on metrics to define its temporal and spatial complexity. The temporal complexity classification is based on the Motion Vectors of the predictive encoded frames and on the difference between frames. The spatial complexity classification is based on different implementations of an edge detection algorithm and an image activity measure.

Abstract
Exceptional Preferences Mining (EPM) is a crossover between two subfields of datamining: local pattern mining and preference learning. EPM can be seen as a local pattern mining task that finds subsets of observations where the preference relations between subsets of the labels significantly deviate from the norm; a variant of Subgroup Discovery, with rankings as the (complex) target concept. We employ three quality measures that highlight subgroups featuring exceptional preferences, where the focus of what constitutes 'exceptional' varies with the quality measure: the first gauges exceptional overall ranking behavior, the second indicates whether a particular label stands out from the rest, and the third highlights subgroups featuring unusual pairwise label ranking behavior. As proof of concept, we explore five datasets. The results confirm that the new task EPM can deliver interesting knowledge. The results also illustrate how the visualization of the preferences in a Preference Matrix can aid in interpreting exceptional preference subgroups.

Abstract
The research proposes a novel technological solution for marker-based human motion capture called WirelessSyncroVision (WSV). The WSV is formed by two main modules: the visual node (WSV-V) which is based on a stereoscopic vision system and the marker node (WSV-M) that is constituted by a 6-DOF active marker. The solution synchronizes the acquisition of images in remote muti-cameras with the ON period of the active marker. This increases the robustness of the stereoscopic system to illumination changes, which is extremely relevant for programming industrial robotic-arms using a human demonstrator programming by demonstration (PbD). In addition, the research presents a robust method named Adaptive and Robust Synchronization (ARS), that is designed for temporal alignment of remote devices using a wireless network. The algorithm models the phase difference as a function of time, measuring the parameters that must be known to predict the synchronization instant between the active marker and the remote cameras. Results demonstrate that the ARS creates a balance between the real-time capability and the performance estimation of the phase difference. Therefore, this research proposes an elegant solution to synchronize image acquisition systems in real-time that is easy to implement with low operational costs; however, the major advantage of the WSV is related to its high level of flexibility since it can be extended toward to other devices besides the PbD, for instance, motion capture, motion analysis, and remote sensoring systems.

Abstract
Destination image is critical for the development of tourism, particularly for islands where the scarcity of resources requires special care in focusing on the few determinants the islands have. This paper aims to describe the most perceived image determinants by tourists of Cape Verde. Based on a convenience sample of 627 international tourists, a second order factor analysis model was validated through the model fit measures. Despite a scarcity of resources, the results suggest that the image of Cape Verde is a multidimensional construct comprising five factors: natural attractions, man-made attractions, amenities, culture and price. Among these, the man-made and natural attractions as well as amenities are the most important image determinants for Cape Verde. Potentially there is a plurality of dimensions to be appreciated in the positioning process. Challenging many studies which have almost exclusively emphasised the attractions of natural resources, the tourism sector of this destination can offer a major and more flexible competitive advantage. The results may be helpful to other African countries which share similar developmental constraints with Cape Verde. © 2017 Nova Science Publishers, Inc.

Abstract
Soil erosion is a serious environmental problem. An estimation of the expected soil loss by water-caused erosion can be calculated considering the Revised Universal Soil Loss Equation (RUSLE). Geographical Information Systems (GIS) provide different tools to create categorical maps of soil erosion risk which help to study the risk assessment of soil loss. The objective of this study was to develop a GIS open source application (in QGIS), using the RUSLE methodology for estimating erosion rate at the watershed scale (desktop application) and provide the same application via web access (web application). The applications developed allow one to generate all the maps necessary to evaluate the soil erosion risk. Several libraries and algorithms from SEXTANTE were used to develop these applications. These applications were tested in Montalegre municipality (Portugal). The maps involved in RUSLE method-soil erosivity factor, soil erodibility factor, topographic factor, cover management factor, and support practices-were created. The estimated mean value of the soil loss obtained was 220 ton km(-2) year(-1) ranged from 0.27 to 1283 ton km(-2) year(-1). The results indicated that most of the study area (80 %) is characterized by very low soil erosion level (<321 ton km(-2) year(-1)) and in 4 % of the studied area the soil erosion was higher than 962 ton km(-2) year(-1). It was also concluded that areas with high slope values and bare soil are related with high level of erosion and the higher the P and C values, the higher the soil erosion percentage. The RUSLE web and the desktop application are freely available.