Iterative Multiuser Detection and Decoding with Spatially Coupled Interleaving

Spatially coupled (SC) interleaving is proposed to improve the performance of iterative multiuser detection and decoding (MUDD) for quasi-static fading multiple-input multiple-output systems. The linear minimum mean-squared error (LMMSE) demodulator is used to reduce the complexity and to avoid error propagation. Furthermore, sliding window MUDD is proposed to circumvent an increase of the decoding latency due to SC interleaving. Theoretical and numerical analyses show that SC interleaving can improve the performance of the iterative LMMSE MUDD for regular low-density parity-check codes.Comment: Long version of a paper submitted to IEEE Wireless Commun. Let

Negative Correlation between the Diffusion Coefficient and Transcriptional Activity of the Glucocorticoid Receptor

The glucocorticoid receptor (GR) is a transcription factor, which interacts with DNA and other cofactors to regulate gene transcription. Binding to other partners in the cell nucleus alters the diffusion properties of GR. Raster image correlation spectroscopy (RICS) was applied to quantitatively characterize the diffusion properties of EGFP labeled human GR (EGFP-hGR) and its mutants in the cell nucleus. RICS is an image correlation technique that evaluates the spatial distribution of the diffusion coefficient as a diffusion map. Interestingly, we observed that the averaged diffusion coefficient of EGFP-hGR strongly and negatively correlated with its transcriptional activities in comparison to that of EGFP-hGR wild type and mutants with various transcriptional activities. This result suggests that the decreasing of the diffusion coefficient of hGR was reflected in the high-affinity binding to DNA. Moreover, the hyper-phosphorylation of hGR can enhance the transcriptional activity by reduction of the interaction between the hGR and the nuclear corepressors

The Theory of Crimp of Textile Fibers

The fundamental idea running through this paper is to correlate the crimps of textile fibers with bilateral structure which was found by the author and collaborators, and a series of results obtained by them on this line are reviewed. Section I outlines the study on the crimped rayon staple which gave rise to finding the bilateral structure. Several species of wool fibers are also endowed a priori with bilateral structure, which induces the fibers to crimp as shown in Section II. Section III deals with the mathematical analysis of the dynamics of crimp. The ideal form of crimp is the helical spring, which is preferred to the plane zig-zag from the practical point of view. Section IV describes the production of bilateral fibers made up of two components by the “conjugate melt spinning” process. It is important in the processes of treating the filaments and fabrics that the component polymers in each bilateral filament should be kept inseparable. The compatibility of the several pairs of polymers is estimated by the study of epitaxy, as mentioned in Section V. It is shown in Section VI that the chemical similarity between different polymers is also an essential factor to produce strong cohesion. In Section VII, some of the practical data of crimps, such as the diameter of helix and the number of crimps per unit length are shown with several kinds of conjugate-spun fibers as a function of degree of stretching before producing coiling, the conditions of heat treatment and so forth

FLUIDIZATION—PAST & FUTURE

With the understanding on paradigm shift in sciences as well as on the relationships between science and society, the footmarks of fluidization research and its present situation were briefly revisited so that the future directions can be defined and discussed in the fluidization society in a wider perspective

Fluidized bed combustor modeling

A general mathematical model for the prediction of performance of a fluidized bed coal combustor (FBC) is developed. The basic elements of the model consist of: (1) hydrodynamics of gas and solids in the combustor; (2) description of gas and solids contacting pattern; (3) kinetics of combustion; and (4) absorption of SO2 by limestone in the bed. The model is capable of calculating the combustion efficiency, axial bed temperature profile, carbon hold-up in the bed, oxygen and SO2 concentrations in the bubble and emulsion phases, sulfur retention efficiency and particulate carry over by elutriation. The effects of bed geometry, excess air, location of heat transfer coils in the bed, calcium to sulfur ratio in the feeds, etc. are examined. The calculated results are compared with experimental data. Agreement between the calculated results and the observed data are satisfactory in most cases. Recommendations to enhance the accuracy of prediction of the model are suggested

ACTIVELY CREATING A HEALTH-CONSCIOUS LIFESTYLE THROUGH FOOD LABEL LITERACY IN HAWAII

M.A

Texture Classification Based on Complex Network Model with Spatial Information

This paper proposes a method for image texture classification based on a complex network model. Finding relevant and valuable information in an image texture is an essential issue for image classification and remains a challenge. Recently, a complex network model has been used for texture analysis and classification. However, with current analysis methods, important empirical properties of image texture such as spatial information are discarded from consideration. Accordingly, we propose local spatial pattern mapping (LSPM) method for manipulating the spatial information in an image texture with multi-radial distance analysis to capture the texture pattern. In experiments, the feature properties under the traditional complex network model and those with the proposed method are analyzed by using the Brodatz, UIUC, and Outex databases. As results, the proposed method is shown to be effective for texture classification, providing an improved classification rate as compared to the traditional complex network model