Principis deontològics dels professionals de la informació i la documentació: el codi de l'European Council of Information Associations (ECIA)

Qualsevol professió té, o hauria de tenir, un codi de regles ètiques que els seus membres normalment respecten i que fan servir com a guia en el cas que hagin de prendre decisions moralment difícils. Durant la reunió celebrada el novembre de 1998 a Lisboa, les associacions membres de l'ECIA van acordar adoptar un codi ètic que fos vàlid per als professionals de tots els països de la Unió Europea. Aquest codi no pot ser més que un enunciat de principis generals i deixa en mans de cada associació la facultat de desenvolupar-lo per tal que respongui a necessitats especials o nacionals. Un primer projecte fou presentat i discutit a la reunió de l'ECIA de març de 1999. La present revisió incorpora les modificacions proposades aleshores, elements provinents de codis d'altres organitzacions que foren presentats en la reunió a la consideració de l'autor, així com alguns aclariments.

Vortex state and effect of anisotropy in sub-100 nm magnetic nanodots

Magnetic properties of Fe nanodots are simulated using a scaling technique and Monte Carlo method, in good agreement with experimental results. For the 20-nm-thick dots with diameters larger than 60¿nm, the magnetization reversal via vortex state is observed. The role of magnetic interaction between dots in arrays in the reversal process is studied as a function of nanometric center-to-center distance. When this distance is more than twice the dot diameter, the interaction can be neglected and the magnetic properties of the entire array are determined by the magnetic configuration of the individual dots. The effect of crystalline anisotropy on the vortex state is investigated. For arrays of noninteracting dots, the anisotropy strongly affects the vortex nucleation field and coercivity, and only slightly affects the vortex annihilation field

Steady-state global optimization of metabolic non-linear dynamic models through recasting into power-law canonical models

Background: Design of newly engineered microbial strains for biotechnological purposes would greatly benefit from the development of realistic mathematical models for the processes to be optimized. Such models can then be analyzed and, with the development and application of appropriate optimization techniques, one could identify the modifications that need to be made to the organism in order to achieve the desired biotechnological goal. As appropriate models to perform such an analysis are necessarily non-linear and typically non-convex, finding their global optimum is a challenging task. Canonical modeling techniques, such as Generalized Mass Action (GMA) models based on the power-law formalism, offer a possible solution to this problem because they have a mathematical structure that enables the development of specific algorithms for global optimization. Results: Based on the GMA canonical representation, we have developed in previous works a highly efficient optimization algorithm and a set of related strategies for understanding the evolution of adaptive responses in cellular metabolism. Here, we explore the possibility of recasting kinetic non-linear models into an equivalent GMA model, so that global optimization on the recast GMA model can be performed. With this technique, optimization is greatly facilitated and the results are transposable to the original non-linear problem. This procedure is straightforward for a particular class of non-linear models known as Saturable and Cooperative (SC) models that extend the power-law formalism to deal with saturation and cooperativity. Conclusions: Our results show that recasting non-linear kinetic models into GMA models is indeed an appropriate strategy that helps overcoming some of the numerical difficulties that arise during the global optimization task.