Manuel Maña

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We have previously demonstrated that exposing rats to cold (5 degrees C) for 3-4 weeks potentiates the increase in extracellular norepinephrine (NE) in the medial prefrontal cortex produced by acute tail shock. In the present study, we used microdialysis to determine the duration of cold exposure required to produce this sensitization and explored the(More)
In vivo extracellular single-unit recording techniques revealed that chronic cold stress significantly alters both the basal and the evoked electrophysiological activity of noradrenergic neurons in the locus coeruleus of the anaesthetized rat. Following 17-21 days of chronic cold exposure (5 degrees C), the single-unit activity of histologically-identified(More)
Text Classification tasks are becoming increasingly popular in the field of Information Access. Being approached as Machine Learning problems, the definition of suitable attributes for each task is approached in an ad-hoc way. We believe that a more principled framework is required, and we present initial insights on attribute engineering for Text(More)
Drug-Drug Interaction (DDI) extraction from the pharmacological literature is an emergent challenge in the text mining area. In this paper we describe a DDI extraction system based on a machine learning approach. We propose distinct solutions to deal with the high dimensionality of the problem and the unbalanced representation of classes in the dataset. On(More)
AORESCU project main goals are focused on the retrieval and processing of information generated by users about an entity. The idea is to get insights from this information that help us to understand the perception of users about an entity. We can retrieve two types of information from web 2.0 sources: structured information (e.g. numerical rating) and(More)
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