BACKGROUND The catastrophic health expenditure and impoverishment indices offer guidance for developing appropriate health policies and intervention programs to decrease financial inequity. This study assesses socioeconomic inequalities in catastrophic health expenditure and impoverishment in relation to self-reported non-communicable diseases (NCD) in urban Hanoi, Vietnam. METHODS A cross-se...

Up to the present, the wave union method can achieve the best timing performance in FPGA based TDC designs. However, it should be guaranteed in such a structure that the non-thermometer code to binary code (NTH2B) encoding process should be finished within just one system clock cycle. So the implementation of the NTH2B encoder is quite challenging considering the high speed requirement. Besides...

We consider a state-dependent multiaccess channel (MAC) with state non-causally known to some encoders. For simplicity of exposition, we focus on a two-encoder model in which one of the encoders has non-causal access to the channel state. The results can in principle be extended to any number of encoders with a subset of them being informed. We derive an inner bound for the capacity region in t...

MPEG-4 Visual, that part of the upcoming MPEG-4 standard describing the coding of natural and synthetic video signals, allows the encoding of video objects using motion, texture and shape information. In this paper, the MPEG-4 context-based arithmetic encoder for encoding binary shape information is presented in the context of a new MPEG-4 video encoder architecture. The encoder architecture en...

Non-linear manifold learning enables high-dimensional data analysis, but requires outof-sample-extension methods to process new data points. In this paper, we propose a manifold learning algorithm based on deep learning to create an encoder, which maps a high-dimensional dataset and its low-dimensional embedding, and a decoder, which takes the embedded data back to the high-dimensional space. S...

background : health policy makers are concerned about protecting people from catastrophic health expenditures and subsequent impoverishment. this study aimed to describe the magnitude and distribution of catastrophic health expenditures in kermanshah western iran. methods : in this descriptive study, during may 2008, 189 households were chosen by “systematic random sampling” among the commu...

Text normalization is the task of transforming lexical variants to their canonical forms. We model the problem of text normalization as a character-level sequence to sequence learning problem and present a neural encoder-decoder model for solving it. To train the encoder-decoder model, many sentences pairs are generally required. However, Japanese non-standard canonical pairs are scarce in the ...