Financial fraud has extremely damaged the sustainable growth of financial markets as a serious problem worldwide.Nevertheless, it is fairly challenging to identify frauds with highly imbalanced dataset because ratio of non-fraud companies is very high compared to fraudulent ones.Intelligent financial statement fraud detection systems have therefore
Introduction Paraphrenia consists on a syndrome of insidious development with a chronic delirium of great phenomenological richness, predominating productive or delusional-hallucinatory forms and with time it evolves to pure fabulation.Delusions appear in 100% of cases predominating persecution, reference and false identifications.It is a classic t
Abstract Background Bayesian phylogenetic inference holds promise as an alternative to maximum likelihood, particularly for large molecular-sequence data sets.We have investigated the performance of Bayesian inference with empirical and simulated protein-sequence data under conditions of relative branch-length differences and model violation.Result