Codon-based substitution models are routinely used to measure selective pressures acting on protein-coding genes. To this effect, the nonsynonymous to synonymous rate ratio (dN/dS = omega) is estimated. The proportion of amino-acid sites potentially under positive selection, as indicated by omega > 1, is inferred by fitting a probability distribution where some sites are permitted to have omega...

let r be a ring,  be an endomorphism of r and mr be a -rigid module. amodule mr is called quasi-baer if the right annihilator of a principal submodule of r isgenerated by an idempotent. it is shown that an r-module mr is a quasi-baer module if andonly if m[[x]] is a quasi-baer module over the skew power series ring r[[x; ]].

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background: left ventricular (lv) twist is due to oppositely directed apical and basal rotation and has been proposed as a sensitive marker of lv function. we sought to assess the impact of chronic pure mitral regurgitation (mr) on the torsional mechanics of the left human ventricle using tissue doppler imaging. methods: nineteen severe mr patients with a normal lv ejection fraction and 16 non-...

The death rate has increased in recent years due to the rising prevalence of encephaloma tumors across all age brackets. Because their complex structure and background noise, are difficult detect medical imaging require a great deal time effort on part professionals. This is crucial since locating tumor early key successful treatment. Scans can even forecast presence cancer at variety stages. A...

A novel relational learning approach that tightly integrates the naı̈ve Bayes learning scheme with the inductive logic programming rule-learner FOIL is presented. In contrast to previous combinations that have employed naı̈ve Bayes only for post-processing the rule sets, the presented approach employs the naı̈ve Bayes criterion to guide its search directly. The proposed technique is implemented in...

An image classification scheme using Naïve Bayes Classifier is proposed in this paper. The proposed Naive Bayes Classifier-based image classifier can be considered as the maximum a posteriori decision rule. The Naïve Bayes Classifier can produce very accurate classification results with a minimum training time when compared to conventional supervised or unsupervised learning algorithms. Compreh...