(Table 1) Porewater analysis with respect to gypsum from different ODP holes

The stability of gypsum in marine sediments has been investigated through the calculation of its saturation index at the sediment in situ temperature and pressure, using the entire ODP/IODP porewater composition database (14416 samples recovered from sediments collected during 95 ODP and IODP Legs). Saturation is reached in sediment porewaters of 26 boreholes drilled at 23 different sites, during 12 ODP/IODP Legs. As ocean bottom seawater is largely undersaturated with respect to gypsum, the porewater Ca content or its SO4 concentration, or both, must increase in order to reach equilibrium. At several sites equilibrium is reached either through the presence of evaporitic gypsum layers found in the sedimentary sequence, and/or through a salinity increase due to the presence of evaporitic brines with high concentrations of Ca and SO4. Saturation can also be reached in porewaters of seawater-like salinity (~ 35 per mil), provided sulfate reduction is limited. In this case, saturation is due to the alteration of volcanogenic material which releases large amounts of Ca to the porewaters, where the Ca concentration can reach 55 times its seawater value as for example at ODP Leg 134 site 833. At a few sites, saturation is reached in hydrothermal environments, or as a consequence of the alteration of the basaltic basement. In addition to the well known influence of brines on the formation of gypsum, these results indicate that the alteration of sediments rich in volcanogenic material is a major process leading to gypsum saturation in marine sediment porewaters. Therefore, the presence of gypsum in ancient and recent marine sediments should not be systematically interpreted as due to hypersaline waters, especially if volcanogenic material is present.

Cloud Computing Service for Managing Large Medical Image Data-Sets Using Balanced Collaborative Agents

Managing large medical image collections is an increasingly demanding important issue in many hospitals and other medical settings. A huge amount of this information is daily generated, which requires robust and agile systems. In this paper we present a distributed multi-agent system capable of managing very large medical image datasets. In this approach, agents extract low-level information from images and store them in a data structure implemented in a relational database. The data structure can also store semantic information related to images and particular regions. A distinctive aspect of our work is that a single image can be divided so that the resultant sub-images can be stored and managed separately by different agents to improve performance in data accessing and processing. The system also offers the possibility of applying some region-based operations and filters on images, facilitating image classification. These operations can be performed directly on data structures in the database.

Cloud Computing en salud: Sistema para Administrar Imagenes Biomedicas

En el campo de la biomedicina se genera una inmensa cantidad de imágenes diariamente. Para administrarlas es necesaria la creación de sistemas informáticos robustos y ágiles, que necesitan gran cantidad de recursos computacionales. El presente artículo presenta un servicio de cloud computing capaz de manejar grandes colecciones de imágenes biomédicas. Gracias a este servicio organizaciones y usuarios podrían administrar sus imágenes biomédicas sin necesidad de poseer grandes recursos informáticos. El servicio usa un sistema distribuido multi agente donde las imágenes son procesadas y se extraen y almacenan en una estructura de datos las regiones que contiene junto con sus características. Una característica novedosa del sistema es que una misma imagen puede ser dividida, y las sub-imágenes resultantes pueden ser almacenadas por separado por distintos agentes. Esta característica ayuda a mejorar el rendimiento del sistema a la hora de buscar y recuperar las imágenes almacenadas.

Reliability issues related to the usage of Cloud Computing in Critical Infrastructures

The use of cloud computing is extending to all kind of systems, including the ones that are part of Critical Infrastructures, and measuring the reliability is becoming more difficult. Computing is becoming the 5th utility, in part thanks to the use of cloud services. Cloud computing is used now by all types of systems and organizations, including critical infrastructure, creating hidden inter-dependencies on both public and private cloud models. This paper investigates the use of cloud computing by critical infrastructure systems, the reliability and continuity of services risks associated with their use by critical systems. Some examples are presented of their use by different critical industries, and even when the use of cloud computing by such systems is not widely extended, there is a future risk that this paper presents. The concepts of macro and micro dependability and the model we introduce are useful for inter-dependency definition and for analyzing the resilience of systems that depend on other systems, specifically in the cloud model.