Application of Entropy and Fractal Dimension Analyses to the Pattern Recognition of Contaminated Fish Responses in Aquaculture

The objective of the work was to develop a non-invasive methodology for image acquisition, processing and nonlinear trajectory analysis of the collective fish response to a stochastic event. Object detection and motion estimation were performed by an optical flow algorithm in order to detect moving fish and simultaneously eliminate background, noise and artifacts. The Entropy and the Fractal Dimension (FD) of the trajectory followed by the centroids of the groups of fish were calculated using Shannon and permutation Entropy and the Katz, Higuchi and Katz-Castiglioni's FD algorithms respectively. The methodology was tested on three case groups of European sea bass (Dicentrarchus labrax), two of which were similar (C1 control and C2 tagged fish) and very different from the third (C3, tagged fish submerged in methylmercury contaminated water). The results indicate that Shannon entropy and Katz-Castiglioni were the most sensitive algorithms and proved to be promising tools for the non-invasive identification and quantification of differences in fish responses. In conclusion, we believe that this methodology has the potential to be embedded in online/real time architecture for contaminant monitoring programs in the aquaculture industry.

Aportación a las representaciones de úrsidos en el arte mobiliar magdaleniense

[ES] Durante la primera mitad del siglo XX se realizaron amplias excavaciones arqueológicas en la cueva de Isturitz que aportaron abundantes evidencias industriales y artísticas. En este artículo se trata de dar a la luz una obra de arte mueble que permanece inédita, en concreto una pareja de osos fabricados sobre una costilla, y que procede del nivel magdaleniense de la colección Saint-Périer.

Proteómica dirigida en la cirugía del cáncer gástrico

240 p. + anexos