the aim of this study was to evaluate the marginal adaptation of biodentine in comparison with mineral trioxide aggregate (mta) and intermediate restorative material (irm), as a root end filling material, using scanning electron microscopy (sem).thirty permanent maxillary central incisors were chemo-mechanically prepared and obturated. three millimetres of the root end were resected and 3mm ret...

the mel frequency cepstral coefficients are the most widely used feature in speech recognition but they are very sensitive to noise. in this paper to achieve a satisfactorily performance in automatic speech recognition (asr) applications we introduce a noise robust new set of mfcc vector estimated through following steps. first, spectral mean normalization is a pre-processing which applies to t...

BACKGROUND To examine empirically whether the mean difference (MD) or the standardised mean difference (SMD) is more generalizable and statistically powerful in meta-analyses of continuous outcomes when the same unit is used. METHODS From all the Cochrane Database (March 2013), we identified systematic reviews that combined 3 or more randomised controlled trials (RCT) using the same continuou...

Alcohol is the root cause of numerous traffic accidents due to its pharmacological action on the human central nervous system. This study conducted a detection process to distinguish drunk driving from normal driving under simulated driving conditions. The classification was performed by a support vector machine (SVM) classifier trained to distinguish between these two classes by integrating bo...

We provide two new characterizations of bounded orthogonally additive polynomials from a uniformly complete vector lattice into convex bornological space using separately polynomial identities Kusraeva involving the root mean power and geometric mean. Furthermore, it is shown that on whenever positive cone. These results improve recent by G. Buskes author.

Carbon fiber fabrics are important engineering materials. However, it is confusing to classify different carbon fiber fabrics, leading to risks in engineering processes. Here, a classification method for four types of carbon fiber fabrics is proposed using artificial neural networks (ANNs) and support vector machine (SVM) based on 229 experimental data groups. Sample width, breaking strength an...