Invasion Percolation Between two Sites

We investigate the process of invasion percolation between two sites (injection and extraction sites) separated by a distance r in two-dimensional lattices of size L. Our results for the non-trapping invasion percolation model indicate that the statistics of the mass of invaded clusters is significantly dependent on the local occupation probability (pressure) Pe at the extraction site. For Pe=0, we show that the mass distribution of invaded clusters P(M) follows a power-law P(M) ~ M^{-\alpha} for intermediate values of the mass M, with an exponent \alpha=1.39. When the local pressure is set to Pe=Pc, where Pc corresponds to the site percolation threshold of the lattice topology, the distribution P(M) still displays a scaling region, but with an exponent \alpha=1.02. This last behavior is consistent with previous results for the cluster statistics in standard percolation. In spite of these discrepancies, the results of our simulations indicate that the fractal dimension of the invaded cluster does not depends significantly on the local pressure Pe and it is consistent with the fractal dimension values reported for standard invasion percolation. Finally, we perform extensive numerical simulations to determine the effect of the lattice borders on the statistics of the invaded clusters and also to characterize the self-organized critical behavior of the invasion percolation process.Comment: 7 pages, 11 figures, submited for PR

Entanglement Purification of Any Stabilizer State

We present a method for multipartite entanglement purification of any stabilizer state shared by several parties. In our protocol each party measures the stabilizer operators of a quantum error-correcting code on his or her qubits. The parties exchange their measurement results, detect or correct errors, and decode the desired purified state. We give sufficient conditions on the stabilizer codes that may be used in this procedure and find that Steane's seven-qubit code is the smallest error-correcting code sufficient to purify any stabilizer state. An error-detecting code that encodes two qubits in six can also be used to purify any stabilizer state. We further specify which classes of stabilizer codes can purify which classes of stabilizer states.Comment: 11 pages, 0 figures, comments welcome, submitting to Physical Review

Promoting safety during process variability : a multidisciplinary challenge

Variability can be defined as the inherent instability of any type of process. In manufacturing settings, some efforts in reducing process variability have been developed, but zero variability seems to be, so far, an infeasible target. Ergonomic studies have been showing that workers are usually the ones responsible for residual variability. However, it can have impact over the safety of workers. The main purpose of this paper is to demonstrate that the need for managing residual variability in addition to putting the workers in a position of transgressors, it also exposes them to unforeseen risks. To achieve that, three examples of variability situations are described. The main method applied was the Ergonomic Analysis of Work Activity. It is argued that there is the need for a multidisciplinary approach, including not only OH&S professionals, but also human resources and engineering designers, to promote safety during process variability.This work was partially supported by a grant from the Brazilian National Council for Scientific and Technological Development ( CNPq / Brazil)

Shelf Life of m. \u3ci\u3elongissimus lumborum\u3c/i\u3e from Beef Fed Antioxidants and Wet Distillers Grains

Crossbred steers (n = 483) were fed dry-rolled corn based finishing dietscontaining 0 or 30% wet distillers grains with the synthetic antioxidants, ethoxyquin and tertiary butyl hydroquinone (AGRADO®PLUS). Synthetic antioxidants reduced lipid and color deterioration of strip steaks at the end of the retail display period under high or atmosphericoxygen packaging conditions

Mioma Parasita: Forma Rara de Apresentação de uma Entidade Comum

Parasitic myomas are a rare form of uterine leiomyomas. Distinction from other abdominal masses may be difficult, due to parasitic leiomyomas' variable anatomic locations and clinical manifestations. We describe the case of a 45 years-old woman, presenting with abdominal pain and a large pelvic mass that turned out to be a parasitic myoma at surgical assessment. Histological analysis confirmed the intraoperative suspicion. We intend to bring awareness to the inclusion of this condition in the differential diagnosis of pelvic masses, especially in women with risk factors for parasitic myomas, such as previous surgery for uterine fibromyomatosis or concomitant uterine myomas.info:eu-repo/semantics/publishedVersio