Accumulating clinical evidence indicates increased aortic stiffness, an independent risk factor for cardiovascular and all-cause mortality, in type 2 diabetic and glucose-intolerant individuals. The present study sought to determine whether increased mechanical stiffness, an altered extracellular matrix, and a profibrotic gene expression profile could be observed in the aorta of the insulin-res...

Disassembly of focal adhesions (FAs) allows cell retraction and integrin detachment from the extracellular matrix, processes critical for cell movement. Growth of microtubules (MTs) can promote FA turnover by serving as tracks to deliver proteins essential for FA disassembly. The molecular nature of this FA "disassembly factor," however, remains elusive. By quantitative proteomics, we identifie...

The total variability factor space in speaker verification system architecture based on Factor Analysis (FA) has greatly improved speaker recognition performances. Carrying out channel compensation in a low dimensional total factor space, rather than in the GMM supervector space, allows for the application of new techniques. We propose here new intersession compensation and scoring methods. Fur...

normal 0 false false false en-us x-none ar-sa microsoftinternetexplorer4 background: the aim of research was to study spiral family implant by finite element analysis (fea) inserted in different bone qualities connected with abutments of different angulations. methods: the biomechanical behaviour of 4.2 × 13 mm dental implants, connecting screw, straight and 15° and 25° angulated abutments subj...

BACKGROUND Cell migration plays an essential role in many biological processes, such as cancer metastasis, wound healing and immune response. Cell migration is mediated through protrusion and focal adhesion (FA) assembly, maturation and disassembly. Epidermal growth factor (EGF) is known to enhance migration rate in many cell types; however it is not known how FA maturation, FA dynamics and pro...

For subspace estimation with an unknown colored noise, Factor Analysis (FA) is a good candidate for replacing the popular eigenvalue decomposition (EVD). Finding the unknowns in factor analysis can be done by solving a non-linear least square problem. For this type of optimization problems, the Gauss-Newton (GN) algorithm is a powerful and simple method. The most expensive part of the GN algori...

Considering Factor Analysis (FA) for each component of Gaussian Mixture Model (GMM), clustering and local dimensionality reduction can be addressed simultaneously by Mixture of Factor Analyzers (MFA) and Local Factor Analysis (LFA), which correspond to two FA parameterizations, respectively. This paper investigates the performance of Variational Bayes (VB) and Bayesian Ying-Yang (BYY) harmony l...

This study performs an exploratory factor analysis (EFA) to examine user engagement scale (UES) in the setting of daily life visual information search (i.e. searching images and/or videos using Web-based information systems). Principal Components Factor Analysis was employed to examine the six sub-scales of user engagement while searching images and/or videos on Web-based systems. Results indic...

To ensure the protection of drinking water an understanding of the catchment processes which can affect water quality is important as it enables targeted catchment management actions to be implemented. In this study factor analysis (FA) and comparing event mean concentrations (EMCs) with baseline values were techniques used to asses the relationships between water quality parameters and linking...