Application of Bayesian Decision Tree in Hematology Research: Differential Diagnosis of β-Thalassemia Trait from Iron Deficiency Anemia

Objective. Several discriminating techniques have been proposed to discriminate between β-thalassemia trait (βTT) and iron deficiency anemia (IDA). These discrimination techniques are essential clinically, but they are challenging and typically difficult. This study is the first application of the Bayesian tree-based method for differential diagnosis of βTT from IDA. Method. This cross-sectional study included 907 patients with ages over 18 years old and a mean (±SD) age of 25 ± 16.1 with either βTT or IDA. Hematological parameters were measured using a Sysmex KX-21 automated hematology analyzer. Bayesian Logit Treed (BLTREED) and Classification and Regression Trees (CART) were implemented to discriminate βTT from IDA based on the hematological parameters. Results. This study proposes an automatic detection model of beta-thalassemia carriers based on a Bayesian tree-based method. The BLTREED model and CART showed that mean corpuscular volume (MCV) was the main predictor in diagnostic discrimination. According to the test dataset, CART indicated higher sensitivity and negative predictive value than BLTREED for differential diagnosis of βTT from IDA. However, the CART algorithm had a high false-positive rate. Overall, the BLTREED model showed better performance concerning the area under the curve (AUC). Conclusions. The BLTREED model showed excellent diagnostic accuracy for differentiating βTT from IDA. In addition, understanding tree-based methods are easy and do not need statistical experience. Thus, it can help physicians in making the right clinical decision. So, the proposed model could support medical decisions in the differential diagnosis of βTT from IDA to avoid much more expensive, time-consuming laboratory tests, especially in countries with limited recourses or poor health services.

Historical migration and taxonomic entity of Korean endemic shrub Lespedeza maritima (Fabaceae) based on microsatellite loci

Various plant species are endemic to the Korean Peninsula, but their evolutionary divergence and establishment are poorly understood. One of these, Lespedeza maritima, has been proposed as either a hybrid (L. cyrtobotrya × L. maximowiczii) or a synonym of L. thunbergii. A distinct taxon, L. uekii, has been proposed for inland populations. We investigated genetic diversity and structure in L. maritima and related taxa to resolve this. Genotypes of L. maritima (n = 244, including L. uekii) were determined using 12 microsatellite loci, then compared with those of related species. Genetic diversity within L. maritima was estimated, and Bayesian clustering analysis was used to represent its genetic structure and that of related taxa. Its distribution during the last glacial maximum (LGM) was predicted using ecological niche modelling (ENM). Neighbour-joining (NJ) analysis and principal coordinate analysis (PCoA) were used to investigate relationships among species. Bayesian tree based on nuclear ribosomal internal transcribed spacers (nrITS) was also reconstructed to show relationships and divergence time among species. Morphological features were examined using flower characteristics. In result, expected heterozygosity (HE) and allelic richness (AR) within L. maritima were higher in southern than northern populations. Bayesian clustering analysis largely assigned populations to two clusters (K = 2) (south vs. north). The ENM showed that L. maritima occurred around the East China Sea and Korean Strait land bridge during the LGM. Compared with other Lespedeza species, L. maritima was assigned to an independent cluster (K = 2–5), supported by the NJ, PCoA, Bayesian tree and morphological examination results. Lespedeza maritima and L. uekii were clustered to one clade on Bayesian tree. Given results, current L. maritima populations derive from post-LGM colonization away from southern refugia. The type L. uekii, which grows inland, is thought synonym of L. maritima. In addition, L. maritima is considered a distinct species, compared with related taxa.

Typological profile of the Transeurasian languages from a quantitative perspective

This chapter provides an overview of the typological features of the Transeurasian (Turkic, Mongolic, Tungusic, Japonic, Koreanic) languages, including brief descriptions of the phonology and morphosyntax of these languages. Through the application of phylogenetic comparative methods, a set of structural features with a high phylogenetic signal is delimited. These features can be assumed to be genealogically stable. The trees achieved by Bayesian tree-sampling based on all 226 features are compared with those derived via the 97 structural features with a high phylogenetic signal and the conclusion reached is that the data set with presumably stable structural features does not provide a tree that is compatible with the language history assumed by classical historical linguists. Neither the full nor the reduced feature set provides a reliable internal classification of the Turkic, Mongolic, Tungusic, and Japonic language families.

Fault Diagnosis of the Foundation Brake Rigging System Based on Fault Tree and Bayesian Network

Based on the analysis of the advantages and limits of the traditional fault tree and Bayesian network in fault diagnosis, the method that building the fault Bayesian network based on fault tree is proposed in this paper. The paper introduces the correspondences between elements of the fault tree and the fault Bayesian network, also describes the inference process of the junction tree algorithm in the fault Bayesian network. Then with the foundation brake rigging system of CRH380AL EMU as an example, we build up the fault tree, complete its transmission to the fault Bayesian network, proving the superiority of the fault Bayesian tree in fault analysis of the complex system at last.

Evolutionary relationships of completely sequenced Clostridia species and close relatives

The class Clostridia in the phylum Firmicutes includes a very heterogeneous assemblage of bacteria. Their evolutionary relationships are not well established; revisions of their phylogenetic placements based on comparative studies of 16S rRNA gene sequences are in progress as genome sequence information accumulates. In this work, phylogenetic trees were reconstructed based on 21 concatenated ribosomal protein sequences using Bayesian and maximum-likelihood methods. Both trees consistently indicate that the Halanaerobiales is a deeply branching order among the class Clostridia. The rest of the Clostridia species are grouped into 10 monophyletic clusters, most of which are comprised of two or three orders and families according to the current Clostridial taxonomy. The maximum-likelihood tree placed Coprothermobacter proteolyticus and Thermodesulfobium narugense in the class Clostridia in accordance with the current taxonomy, in which these two bacteria are assigned to the family Thermodesulfobiaceae. However, the Bayesian tree placed these two bacteria at the boundary between the Firmicutes and Actinobacteria. A gene arrangement that is present uniquely in the Firmicutes species was identified. Both Coprothermobacter proteolyticus and Thermodesulfobium narugense do not have this arrangement characteristic of the Firmicutes. On the basis of the Bayesian tree and gene arrangement comparison, it is suggested that Coprothermobacter proteolyticus and Thermodesulfobium narugense should be placed outside the phylum Firmicutes.