Preeclampsia affects from 5% to 14% of all pregnant women and is responsible for about 14% of maternal deaths per year in the world. This paper is focused on the use of a decision analysis tool for the early detection of preeclampsia in women at risk. This tool applies a fuzzy linguistic approach implemented in a wearable device. In order to develop this tool, a real dataset containing data of pregnant women with high risk of preeclampsia from a health center has been analyzed, and a fuzzy linguistic methodology with two main phases is used. Firstly, linguistic transformation is applied to the dataset to increase the interpretability and flexibility in the analysis of preeclampsia. Secondly, knowledge extraction is done by means of inferring rules using decision trees to classify the dataset. The obtained linguistic rules provide understandable monitoring of preeclampsia based on wearable applications and devices. Furthermore, this paper not only introduces the proposed methodology, but also presents a wearable application prototype which applies the rules inferred from the fuzzy decision tree to detect preeclampsia in women at risk. The proposed methodology and the developed wearable application can be easily adapted to other contexts such as diabetes or hypertension.

Abstract-By colocating with other tenants of an Infrastructure as a Service (IaaS) offering, IaaS users could reap significant cost savings by judiciously sharing their use of the fixed-size instances offered by IaaS providers. This paper presents the blueprints of a Colocation as a Service (CaaS) framework. CaaS strategic services identify coalitions of selfinterested users that would benefit from colocation on shared instances. CaaS operational services provide the information necessary for, and carry out the reconfigurations mandated by strategic services. CaaS could be incorporated into an IaaS offering by providers; it could be implemented as a valueadded proposition by IaaS resellers; or it could be directly leveraged in a peer-to-peer fashion by IaaS users. To establish the practicality of such offerings, this paper presents XCS -a prototype implementation of CaaS on top of the Xen hypervisor. XCS makes specific choices with respect to the various elements of the CaaS framework: it implements strategic services based on a game-theoretic formulation of colocation; it features novel concurrent migration heuristics which are shown to be efficient; and it offers monitoring and accounting services at both the hypervisor and VM layers. Extensive experimental results obtained by running PlanetLab trace-driven workloads on the XCS prototype confirm the premise of CaaS -by demonstrating the efficiency and scalability of XCS, and by quantifying the potential cost savings accrued through the use of XCS.

Emerging configurable infrastructures (large-scale overlays, grids, distributed testbeds, and

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We evaluated population density, group structure and home range of red howler monkeys in a bamboo forest fragment in the Cordillera Central mountain range of Colombia. We estimated a density of 377.7 individuals/km², which is a higher density than normally reported for this species. The average home range size was 3.6 ± 1.1 ha. We found large groups (15.1 ± 4.0 individuals) with subgrouping behavior (daily divisions in foraging subgroups), and a high number of adult and subadult individuals of both sexes per group (mean of 5 males and 7 females per group). The small home range and large group size observed may be related to the high density of howler monkeys in this fragment, which we suggest could be the result of limited dispersal opportunities for these monkeys. The results illustrate the great plasticity of the genus Alouatta, which enables the monkeys to live in a wide range of conditions.