In this study, the application of Bayes networks and fault tree analysis in reliability estimation have been investigated. Fault tree analysis is one of the most widely used methods for estimating reliability. In recent years, a method called "Bayes Network" has been used, which is a dynamic method, and information about the probable failure of the system components will be updated according to...

If $G$ is a connected graph with vertex set $V$, then the eccentric connectivity index of $G$, $xi^c(G)$, is defined as $sum_{vin V(G)}deg(v)ecc(v)$ where $deg(v)$ is the degree of a vertex $v$ and $ecc(v)$ is its eccentricity. In this paper we show some convergence in probability and an asymptotic normality based on this index in random bucket recursive trees.

In this paper we investigate results of the form “every graph G has a cycle C such that induced subgraph on V(G)∖V(C) small maximum degree.” Such haven't been studied before, but are motivated by Bessy and Thomassé Theorem which states vertices any can be covered C1 in disjoint C2 complement G. There two main theorems paper. The first is every with Δ(G[V(G)∖V(C)])≤12(|V(G)∖V(C)|−1). bound degre...

background we present a novel method for augmenting the standard c-v flap used for nipple reconstruction with a free dermal graft which aims to improve the appearance of the nipple reconstruction, decrease loss of projection and improve patient satisfaction overall. methods the surgical technique for performing a free dermal graft augmentation of a cv flap is described. all patients who underwe...

genomic selection (gs) is a tool for prediction of breeding values for quantitative traits. for a successful application of gs, accuracy of predicted genomic breeding value (gebv) is a key issue to consider. here we investigated the accuracy of gebv in 345 genotyped iranian holstein cattle. the study was performed on milk, fat, protein yield and somatic cell count. four methods g-blup, bayes b,...

Large Bayes (LB) is a recently introduced classifier built from frequent and interesting itemsets. LB uses itemsets to create context-specific probabilistic models of the data and estimate the conditional probability P(c i |A) of each class c i given a case A. In this paper we use chi-square tests to address several drawbacks of the originally proposed interestingness metric, namely: (i) the in...