In this paper, we propose an unsupervised domain adaptation for Word Sense Disambiguation (WSD) using Stacked Denoising Autoencoder (SdA). SdA is an unsupervised learning method of obtaining the abstract feature set of input data using Neural Network. The abstract feature set absorbs the difference of domains, and thus SdA can solve a problem of domain adaptation. However, SdA does not always c...

This is a carotid artery stent (CAS) case report, which avoids post-stent deployment angioplasty (Post-SDA), with duplex confirmed continued stent expansion at 1, 3 and 30-day post deployment. This report confirms that self-expanding nitinol stents in the carotid artery may not require Post-SDA. We believe CAS can be performed without Post-SDA, which helps reduce the occurrence of intraoperativ...

We investigated the effect of subdiaphragmatic vagal deafferentation (SDA) on food intake, body weight gain, and metabolism in obese (fa/fa) and lean (Fa/?) Zucker rats. Before and after recovery from surgery, food intake and body weight gain were recorded, and plasma glucose and insulin were measured in tail-prick blood samples. After implantation of a jugular vein catheter, an intravenous glu...

Many scientific computing algorithms (in various domains, such as weather prediction, structural analysis, or electrical network analysis) strongly rely on solving fundamental matrix computation problems (such as linear system solving, eigenvalue decomposition, singular value decomposition, matrix nearness problems, joint diagonalization of matrices...). These problems are often solved using it...

The 2003-2014 period for Latin America refers to the recent boom within growth cycles of region and is called as “Latin American decade”. Given that, purpose paper analyze this specific based on structural transformation dynamics. In context, decomposition methods are evaluated outline patterns. For analysis, Groningen Growth Development Centre (GGDC) Economic Transformation Database (ETD), whi...

This paper presents a method based on chemometrics analysis to select the optimal wavebands for variety discrimination of Chinese cabbage seed by using a Visible/Near-infrared spectroscopy (Vis/NIRS) system. A total of 120 seed samples were investigated using a field spectroradiometer. Chemometrics was used to build the relationship between the absorbance spectra and varieties. Principle compon...