Carlos Angulo

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PURPOSE To develop a powerful archetype editing framework capable of handling multiple reference models and oriented towards the semantic description and standardization of legacy data. METHODS The main prerequisite for implementing tools providing enhanced support for archetypes is the clear specification of archetype semantics. We propose a(More)
In this paper we describe Pangea-LE, a message-oriented lightweight data integration engine that allows homogeneous and concurrent access to clinical information from disperse and heterogeneous data sources. The engine extracts the information and passes it to the requesting client applications in a flexible XML format. The XML response message can be(More)
Standardization of data is a prerequisite to achieve semantic interoperability in any domain. This is even more important in the healthcare sector where the need for exchanging health related data among professional and institutions is not an exception but the rule. Currently, there are several international organizations working on the definition of(More)
Host cells use an intricate signaling system to respond to invasions by pathogenic microorganisms. Although several signaling components of disease resistance against necrotrophic fungal pathogens have been identified, our understanding for how molecular components and host processes contribute to plant disease susceptibility is rather sparse. Here, we(More)
Plants exhibit several mechanisms to survive under high salinity conditions. The uptake and compartmentalization of Na+ ion by the NHX antiporter is a crucial mechanism in homeostasis maintenance. Therefore, we evaluated McNHX2 gene expression and several physiological responses induced in three natural genetic variants of ice plants under salt stress.(More)
The beta-glucosidase (BGLU, EC gene family in B73 maize contains 26 BGLU paralogs of unknown functional redundancy. Promoter sequences revealed that each paralog possesses a distinct set of cis elements and transcription factor binding sites that can modulate transcriptional activity in response to a variety of stimuli. Agrobacterium-mediated fast(More)
We present a method based on Bayesian estimation with prior Markov random field models for segmentation of range images of polyhedral objects. This method includes new ways to determine the confidence associated with the information given for every pixel in the image as well as an improved method for localization of the boundaries between regions. The(More)
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