Manuel Maña

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Ethanol (1.5 g/kg) administered intraperitoneally to kindled rats blocked the seizures normally elicited in these subjects by electrical stimulation of the amygdala. Tolerance to this anticonvulsant effect developed following a series of ethanol intubations delivered at 48-hr intervals only when an amygdaloid stimulation was administered during each period(More)
The effect of convulsive stimulation during periods of drug exposure on the development of tolerance to the anticonvulsant effects of carbamazepine (CBZ), diazepam (DZP), or sodium valproate (VPA) was studied in three similar experiments. In each experiment, amygdala-kindled rats were assigned to one of three groups: one group received a drug injection(More)
Pyrithiamine-induced thiamine deficiency (PTD) in rats is used to model the etiology, diencephalic neuropathology, and memory deficits of Korsakoff's amnesia. We assessed the performance of rats exposed to PTD on a test of object recognition--nonrecurring-items delayed nonmatching-to-sample (DNMS). PTD produced thalamic lesions similar to those of(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)
The involvement of serotonin type-2 (S2) receptors in morphine-induced analgesia was assessed by challenging the effect of 10 mg/kg of morphine sulphate (IP) with the S2 receptor blockers, pirenperone and ketanserin. Tail-flick latencies were assessed at 0, 30, 60, 90 and 120 min after injections by measuring the time that it took each rat to remove its(More)
In this paper, we present a machine learning system that identify the negation and speculation signals in biomedical texts, in particular, in the BioScope corpus. The objective of this research is to compare the efficiency of this approach focused on machine learning with which it is based on regular expressions. Among the systems that follow the latter(More)
We assessed the development of tolerance to the anticonvulsant effects of carbamazepine (CBZ), diazepam (DZP), and sodium valproate (VPA) on convulsions elicited by amygdala stimulation in kindled rats in three similar experiments. In each experiment, amygdala-kindled rats were assigned to a drug group or to a corresponding vehicle control group. The rats(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)
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)