α-glucosidases (α-Gls) catalyze the last step of carbohydrate digestion in mammals and release glucose in bloodstream, which results in the increased blood glucose level. The evolution and classification of this enzyme has been a matter of debate. In the present study the amino acid sequences of α-Gls from 12 species were aliened and the Phylogenetic trees were constructed. The data indicated t...

BACKGROUND The goal of this study was to determine if left ventricular (LV) global longitudinal strain (GLS) predicts heart failure (HF) readmission in patients with acute decompensated heart failure. METHODS AND RESULTS Two hundred ninety one patients were enrolled at the time of admission for acute decompensated heart failure between January 2011 and September 2013. Left ventricle global lo...

Background: Different aspects of acute stroke management and strategies for stroke prevention derive from two viewpoints: specific traditional and historical backgrounds and evidence-based medicine from modern randomized controlled trials (RCTs), meta-analysis and authorized clinical practice guidelines (GLs). Regarding stroke, GLs have been published by national and international organizations...

We have been developing a methodology/system called GLS (Global Learning Scheme) for knowledge discovery in databases. The development of GLS has two main aspects. The first is to develop a m&i-strategy system. That is, many kinds of discovery/learning methods are cooperatively used in multiple learning phases for performing multi-aspect intelligent data analysis as well as multi-level conceptu...

We present a new approach for statistical inference on noise properties of CMB anisotropy data. We consider a Maximum Likelihood parametric estimator to recover the full dependence structure of the noise process. We also consider a semiparametric procedure which is only sensitive to the low frequency behavior of the noise spectral density. Both approaches are statistically robust and computatio...

kernel density estimators are the basic tools for density estimation in non-parametric statistics.  the k-nearest neighbor kernel estimators represent a special form of kernel density estimators, in  which  the  bandwidth  is varied depending on the location of the sample points. in this paper‎, we  initially introduce the k-nearest neighbor kernel density estimator in the random left-truncatio...

BACKGROUND Techniques of 2-dimensional speckle tracking enable the measurement of myocardial deformation (strain) during systole. Recent clinical studies explored the prognostic role of left ventricular global longitudinal strain (GLS). However, there are few data on the association between cardiovascular outcome and GLS in the community. Therefore, we hypothesized that GLS contains additive pr...

BACKGROUND Global longitudinal strain (GLS) is prognostic of adverse cardiovascular outcomes in various patient populations, but the prognostic utility of GLS for long-term cardiovascular morbidity and mortality in the general population is unknown. METHODS AND RESULTS A total of 1296 participants in a general population study underwent a health examination, including echocardiography measure...

BACKGROUND The management of patients with asymptomatic severe aortic stenosis (ASAS) is still under discussion. Therefore, it is advisable to search for the parameters of early damage to left ventricular (LV) function. AIM The aim of the study was to assess exercise-induced changes in LV global longitudinal strain (GLS) in ASAS. METHODS The ASAS group consisted of 50 patients (26 women and...

This paper uses the marginal treatment effect (MTE) to unify the nonparametric literature on treatment effects with the econometric literature on structural estimation using a nonparametric analog of a policy invariant parameter; to generate a variety of treatment effects from a common semiparametric functional form; to organize the literature on alternative estimators; and to explore what poli...