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Treatment of life threatening pneumococcal infections such as meningitis has recently become problematic due to the emergence of antibiotic resistant strains. Antimicrobial susceptibility data usually derived from the studies that included all clinical pneumococcal isolates. However, resistance patterns of this microorganism isolated from meningitis cases(More)
Markov chain Monte-Carlo methods are increasingly being applied to make inferences about the marginal posterior distributions of parameters in quantitative genetic models. This paper considers the application of one such method, Gibbs sampling, to Bayesian inferences about parameters in a normal mixed linear model when a restriction is imposed on the(More)
The use of Artificial Intelligence methods is becoming increasingly common in the modeling and forecasting of hydrological and water resource processes. In this study, applicability of Adaptive Neuro Fuzzy Inference System (ANFIS) and Artificial Neural Network (ANN) methods, Generalized Regression Neural Networks (GRNN) and Feed 5 Forward Neural Networks(More)
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