5,328 research outputs found

    The Development of Measurement Scale for Entertainment Tourism Experience: A Case Study in Macau

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    Tourism and entertainment industry is an important component in the world’s service sector. Entertainment tourism is receiving more attention, not only from practitioners, but also from academics. This study develops a scale to measure entertainment tourism experience in Macau from the consumers’ perspective. Entertainment tourism in this study is operationalized by Learning, Enjoyment, Escape, Refreshment, Novelty, Involvement, and Local culture. After examining the reliability of the measurement scale, this study applies factor analysis and multidimensional scaling to establish survey instrument. The reliability and validity of the scale are confirmed through the first and the second order confirmatory factor analysis. This study provides theoretical and practical implications and recommendations to entertainment stakeholders, including entertainment suppliers and government, to promote entertainment tourism practices in Macau

    Fuzzy rule based multiwavelet ECG signal denoising

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    Since different multiwavelets, pre- and post-filters have different impulse responses and frequency responses, different multiwavelets, pre- and post-filters should be selected and applied at different noise levels for signal denoising if signals are corrupted by additive white Gaussian noises. In this paper, some fuzzy rules are formulated for integrating different multiwavelets, pre- and post-filters together so that expert knowledge on employing different multiwavelets, pre- and post-filters at different noise levels on denoising performances is exploited. When an ECG signal is received, the noise level is first estimated. Then, based on the estimated noise level and our proposed fuzzy rules, different multiwavelets, pre- and post-filters are integrated together. A hard thresholding is applied on the multiwavelet coefficients. According to extensive numerical computer simulations, our proposed fuzzy rule based multiwavelet denoising algorithm outperforms traditional multiwavelet denoising algorithms by 30%

    Fast and Adaptive Sparse Precision Matrix Estimation in High Dimensions

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    This paper proposes a new method for estimating sparse precision matrices in the high dimensional setting. It has been popular to study fast computation and adaptive procedures for this problem. We propose a novel approach, called Sparse Column-wise Inverse Operator, to address these two issues. We analyze an adaptive procedure based on cross validation, and establish its convergence rate under the Frobenius norm. The convergence rates under other matrix norms are also established. This method also enjoys the advantage of fast computation for large-scale problems, via a coordinate descent algorithm. Numerical merits are illustrated using both simulated and real datasets. In particular, it performs favorably on an HIV brain tissue dataset and an ADHD resting-state fMRI dataset.Comment: Maintext: 24 pages. Supplement: 13 pages. R package scio implementing the proposed method is available on CRAN at https://cran.r-project.org/package=scio . Published in J of Multivariate Analysis at http://www.sciencedirect.com/science/article/pii/S0047259X1400260

    Inflammatory pseudotumor of the liver in association with a gastrointestinal stromal tumor: A case report

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    Inflammatory pseudotumor of the liver is a rare benign lesion that can mimic a malignant liver neoplasm. A case of inflammatory pseudotumor of the liver found in association with a malignant gastrointestinal stromal tumor (GIST) of the small bowel was reported. The inflammatory pseudotumor was misdiagnosed as a metastasis from the GIST by frozen section. A correct diagnosis was made only after histopathological examination of the paraffin section of the resected specimen. This case is particularly interesting because of the association of the two rare pathological entities and the diagnostic dilemma that arose 6from the similarity of their histological appearances. To our knowledge, this association has not been reported in the literature. Copyright © 2004 by The WJG Press.published_or_final_versio

    Marital satisfaction among Hong Kong couples

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    Sex knowledge, attitudes, and high-risk sexual behaviors among unmarried youth in Hong Kong

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    Properties of an invariant set of weights of perceptrons

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    In this paper, the dynamics of weights of perceptrons are investigated based on the perceptron training algorithm. In particular, the condition that the system map is not injective is derived. Based on the derived condition, an invariant set that results to a bijective invariant map is characterized. Also, it is shown that some weights outside the invariant set will be moved to the invariant set. Hence, the invariant set is attracting. Computer numerical simulation results on various perceptrons with exhibiting various behaviors, such as fixed point behaviors, limit cycle behaviors and chaotic behaviors, are illustrated
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