BACKGROUND Left ventricular ejection fraction (LVEF) and global longitudinal strain (GLS) play important roles in diagnosis and management of cardiac diseases. However, the issue of the accuracy and reliability of LVEF and GLS remains to be solved. Image quality is one of the most important factors affecting measurement variability. The aim of this study was to investigate whether improved imag...

BACKGROUND In patients with aortic stenosis (AS), increased afterload induces changes in left ventricular (LV) geometry to preserve a normal ejection fraction (EF). Nevertheless, myocardial dysfunction may occur in spite of a normal EF. Global longitudinal strain (GLS) analysis can detect subtle contractile dysfunction at a pre-clinical stage. The aim of our study was to assess LV function dete...

We present fast new algorithms for evaluating trees with respect to least squares and minimum evolution (ME), the most commonly used criteria for inferring phylogenetic trees from distance data. The new algorithms include an optimal O(N2) time algorithm for calculating the edge (branch or internode) lengths on a tree according to ordinary or unweighted least squares (OLS); an O(N3) time algorit...

METHODS: Study subjects were at least 18 years of age and had moderate (GLS=2) to severe (GLS=3) glabellar lines at maximum frown, on the 4-point photonumeric Glabellar Line Scale (GLS, 0=no lines, 1=mild, 2=moderate, 3=severe). Subjects were randomly assigned in a 3:1 ratio to receive a single treatment (0.1 mL injected into each of 5 target sites in the glabellar region) of either DWP450 (tot...

The Traveling Salesman Problem (TSP) is one of the most famous problems in combinatorial optimization. In this paper, we are going to examine how the techniques of Guided Local Search (GLS) and Fast Local Search (FLS) can be applied to the problem. Guided Local Search sits on top of local search heuristics and has as a main aim to guide these procedures in exploring efficiently and effectively ...

Recently, path flow estimators (PFE) have been used for the estimation of origin–destination (O–D) matrices. This paper develops a formulation that incorporates a decoupled path flow estimator in a generalized least squares (GLS) framework. The approach seeks to solve a GLS problem that minimizes the sum of errors in traffic counts and O–D matrices based on an equilibrium assignment mapping der...

We study the behavior of numerical stabilization schemes in the context of linear quadratic regulator (LQR) control problems for convection diffusion equations. The motivation for this effort comes from the observation that when linearization is applied to fluid flow control problems the resulting equations have the form of a convection diffusion equation. This effort is focused on the specific...

Mushroom β-glucans are potent immunological stimulators in medicine, but their productivities are very low. In this study, we successfully improved its production by promoter engineering in Pleurotus ostreatus. The promoter for β-1,3-glucan synthase gene (GLS) was replaced by the promoter of glyceraldehyde-3-phosphate dehydrogenase gene of Aspergillus nidulans. The homologous recombination frag...

Gray leaf spot (GLS) is a major maize disease in Brazil that significantly affects grain production. We used Bayesian inference to investigate the nature and magnitude of gene effects related to GLS resistance by evaluation of contrasting lines and segregating populations. The experiment was arranged in a randomized block design with three replications and the mean values were analyzed us...

KDD (Knowledge Discovery in Databases) process has become a new and important research area. Within the framework of KDD process and the GLS (Global Learning Scheme) system recently proposed by us, this paper concentrates on the issue of KDD process planning. In our method, the KDD process is modeled as an organized society of intelligent agents (called KDD agents), and planning is a meta-agent...