background and aims. class iii malocclusions are considered complex and difficult orthodontic problems to diagnose and treat. the purpose of this study was to investigate the morphologic characteristics of the craniofacial complex of adults with class iii malocclusion in an iranian population. materials and methods. lateral cephalometric radiographs of 50 patients with class iii malocclusion (2...

Background The overall proportion of female physician is increasing worldwide. However, its ratio exhibits a substantial diversity among each member country of Organisation for Economic Co-operation and Development (OECD). This study aimed to reveal the social factors of countries associated with the percentage of female physicians....

Testability is a quality factor used to predict the amount of effort required for software testing and to indicate the difficulty of revealing faults. Also, it can be used to estimate the difficulty of software testing. This paper presents a quantitative testability analysis method for a software component that can be used when the source program is not available, but the bytecode is (as in Jav...

We propose a method for selecting variables in latent class analysis, which is the most common model-based clustering method for discrete data. The method assesses a variable's usefulness for clustering by comparing two models, given the clustering variables already selected. In one model the variable contributes information about cluster allocation beyond that contained in the already selected...

There has been a great effort to transfer linear discriminant techniques that operate on vector data to high-order data, generally referred to as Multilinear Discriminant Analysis (MDA) techniques. Many existing works focus on maximizing the inter-class variances to intra-class variances defined on tensor data representations. However, there has not been any attempt to employ class-specific dis...

In latent class analysis (LCA) one seeks a clustering of categorical data, such as patterns of symptoms of a patient, in terms of locally independent stochastic models. This leads to practical definitions of criteria, e.g., whether to include patients in further diagnostic examinations. The clustering is often determined by parameters that are estimated by the maximum likelihood method. The lik...