13 research outputs found
Species distribution and antimicrobial susceptibility of enterococci isolated from broilers infected experimentally with Eimeria spp and fed with diets containing different supplements
Toxoplasma-IgM and IgG-avidity in single samples from areas with a high infection rate can determine the risk of mother-to-child transmission
Biofilm formation on polystyrene under different temperatures by antibiotic resistant Enterococcus faecalis and Enterococcus faecium isolated from food
Avidity of IgG for rubella: an evaluation of the need for implementation at the Materno-Infantil Presidente Vargas Hospital in Porto Alegre, Rio Grande do Sul, Brazil
Rubella serum assays performed in the laboratory of the Materno-Infantil Presidente Vargas Hospital (HMIPV) from 1998 to 2002 were reviewed to determine if IgG avidity assays should be implemented. IgG was determined using the Enzyme Linked Fluorescent Assay, ELFA, VIDAS® system, bioMérieux or the Microparticle Enzyme Immunoassay, MEIA, Axsym® system, Abbott, and IgM was determined using the ELFA, VIDAS® system, bioMérieux, a capture format assay. Specific IgG was assayed in 2,863 samples, with positive results for 84% of the patients, for the most part with high levels of antibodies. IgM was assayed in 2,851 samples, being positive in 14 (0.49%) and inconclusive in 25 (0.88%). Serology for toxoplasmosis was also positive or inconclusive in 5 patients. After a cost-effectiveness analysis, it was decided not to implement avidity assays, considering that the HMIPV is a public institution, with limited funding. Difficulties concerning the integration of the Clinical Pathology Service with the Clinical Staff of the institution were also considered
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Two variants of minimum discarded fill ordering
It is well known that the ordering of the unknowns can have a significant effect on the convergence of Preconditioned Conjugate Gradient (PCG) methods. There has been considerable experimental work on the effects of ordering for regular finite difference problems. In many cases, good results have been obtained with preconditioners based on diagonal, spiral or natural row orderings. However, for finite element problems having unstructured grids or grids generated by a local refinement approach, it is difficult to define many of the orderings for more regular problems. A recently proposed Minimum Discarded Fill (MDF) ordering technique is effective in finding high quality Incomplete LU (ILU) preconditioners, especially for problems arising from unstructured finite element grids. Testing indicates this algorithm can identify a rather complicated physical structure in an anisotropic problem and orders the unknowns in the preferred'' direction. The MDF technique may be viewed as the numerical analogue of the minimum deficiency algorithm in sparse matrix technology. At any stage of the partial elimination, the MDF technique chooses the next pivot node so as to minimize the amount of discarded fill. In this work, two efficient variants of the MDF technique are explored to produce cost-effective high-order ILU preconditioners. The Threshold MDF orderings combine MDF ideas with drop tolerance techniques to identify the sparsity pattern in the ILU preconditioners. These techniques identify an ordering that encourages fast decay of the entries in the ILU factorization. The Minimum Update Matrix (MUM) ordering technique is a simplification of the MDF ordering and is closely related to the minimum degree algorithm. The MUM ordering is especially for large problems arising from Navier-Stokes problems. Some interesting pictures of the orderings are presented using a visualization tool. 22 refs., 4 figs., 7 tabs