We investigated food patterns in the diet composition of 452 specimens of Crotalus durissus from Central Brazil. Thirty-three items were recorded corresponding to four categories: rodents (75.76%), marsupials (6.06%), unidentified mammals (9.09%) and reptiles (9.09%). Adults of both sexes and some juveniles feed mostly on mammals, specifically rodents, it is the most active and abundant prey th...

High and Low alexithymia scorers were confronted with a modified visual oddball task that allows to study Categorical Perception of emotional expressions on faces. Participants had to quickly detect a deviant (rare) morphed face that shared or did not share the same emotional expression as the frequent one. Expected categorical perception effects, which were also neurophysiologically indexed, s...

We present an auditory stimulus optimization and a pilot study of a two–step input speller application combined with a spatial auditory brain–computer interface (saBCI) for paralyzed users. The application has been developed for 45, out of 48 defining the full set, Japanese kana characters in a two–step input procedure setting for an easy–to–use BCI–speller interface. The user first selects the...

Functional magnetic resonance imaging (fMRI) data are acquired as a complex image pair including magnitude and phase information. The vast majority of fMRI experiments do not attempt to take advantage of the time varying phase information. The phase of the MRI signal is related to the local magnetic field changes, suggesting it may contain useful information about the source of hemodynamic acti...

Given a large, weighted graph, how can we find anomalies? Which rules should be violated, before we label a node as an anomaly? We propose the OddBall algorithm, to find such nodes. The contributions are the following: (a) we discover several new rules (power laws) in density, weights, ranks and eigenvalues that seem to govern the socalled “neighborhood sub-graphs” and we show how to use these ...

Background and Purpose: By using advanced detection/identification methods, the list of emerging uncommon opportunistic yeast infections is rapidly expanding worldwide. Our aim in the present study was sequence-based species delineation of previously unidentified yeasts obtained from a clinically yeast collection. Materials and Methods: A total of twenty three out of the 855 (5.7%) yeast isolat...