32 research outputs found
200 Human BCL-2 related BFL-1/A1 gene is up regulated in cisplatin-resistant human bladder cancer cells
No full textApplication of near Infrared Spectroscopy to Assessments of Colour Change in Plantation-Grown Eucalyptus Grandis
No full textA self-rectifying HfO x-based unipolar RRAM with Nisi electrode
No full text10.1109/LED.2011.2181971IEEE Electron Device Letters334585-587EDLE
Classification of EEG signals by evolutionary algorithm
No full textInternational audienceThe goal of this work is to predict the state of alertness of an individual by analyzing the brain activity through electroencephalographic data (EEG) captured with 58 electrodes. Alertness is characterized here as a binary variable that can be in a "normal" or "relaxed" state. We collected data from 44 subjects before and after a relaxation practice, giving a total of 88 records. After a pre-processing step and data validation, we analyzed each record and discriminate the alertness states using our proposed "slope criterion". Afterwards, several common methods for supervised classification (k nearest neighbors, decision trees (CART), random forests, PLS and discriminant sparse PLS) were applied as predictors for the state of alertness of each subject. The proposed "slope criterion" was further refined using a genetic algorithm to select the most important EEG electrodes in terms of classification accuracy. Results show that the proposed strategy derives accurate predictive models of alertness
Spinal trauma: pharmacological evidence for vasoconstrictor activity in cerebrospinal fluid.
No full textManagement of post dilatation oesophageal perforation: an experience from a tertiary centre
No full textProdução, coeficiente de digestibilidade da matéria seca e concentração de nutrientes em Panicum maximum Jacq., em função dos cortes aos 30, 45, 60 e 75 dias de idade
No full textVortex ring modelling of toroidal bubbles
No full text10.1007/s00162-005-0164-6Theoretical and Computational Fluid Dynamics195303-31
The influences of boron doping in various defect sites on the thermo-mechanical properties of armchair graphene nanoribbons
No full text
