RESUMO
In this paper, we initially present an algorithm for automatic composition of melodies using chaotic dynamical systems. Afterward, we characterize chaotic music in a comprehensive way as comprising three perspectives: musical discrimination, dynamical influence on musical features, and musical perception. With respect to the first perspective, the coherence between generated chaotic melodies (continuous as well as discrete chaotic melodies) and a set of classical reference melodies is characterized by statistical descriptors and melodic measures. The significant differences among the three types of melodies are determined by discriminant analysis. Regarding the second perspective, the influence of dynamical features of chaotic attractors, e.g., Lyapunov exponent, Hurst coefficient, and correlation dimension, on melodic features is determined by canonical correlation analysis. The last perspective is related to perception of originality, complexity, and degree of melodiousness (Euler's gradus suavitatis) of chaotic and classical melodies by nonparametric statistical tests.
RESUMO
Se presentan tres casos de rinorrea acuosa de más de un mes de evolución, dos de sexo femenino y unos masculino de 69, 45 y 37 años respectivamente. Ninguno tenía antecedentes previos de alergia. Todos fueron tratados, con anterioridad a la consulta con antihisataminicos y descongestivos. Por las características de la rinorrea que empeoraron con los cambio de posición de la cabeza, edad de comienzo, falta de antecendentes de alergia y falta de repuesta a la medicación indicada, con la sola detección de glucosa en el liquido recogido fueron derivados al servicio de neurocirugia para el correcto diagnóstico topográfico de la fistula de liquido cefalorraquideo (LCR) y su posterior tratamiento quirúrgico.