7,938 research outputs found

    The role of English as a lingua franca in social integration: The case of the international students of a university in Taiwan

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    Globalization and the ease of mobility across nations in the last decade or so have brought some fundamental changes to the structural organization and operation of universities worldwide. To enhance global competitiveness, East Asian universities, in particular, have seen a growth in the intake of international students. A majority of the previous studies on students studying abroad were undertaken in the context of English-speaking countries such as the UK and USA; research investigating students coming from afar to study in countries which are predominantly Chinese-speaking appears to be lacking. Even scanter is the work related to how this group of students navigates through the social way-of-life at the university. This article explores the social integration of the international students of a bilingual university located in northern Taiwan. More specifically, the role English as a lingua franca plays in the integration will be examined based on the narrative accounts of 14 informants. The findings suggest that some institutional and individual obstacles need to be overcome before English can become more widely accepted as the common medium of communication.published_or_final_versio

    A soft coarse-grained reconfigurable array based high-level synthesis methodology: Promoting design productivity and exploring extreme FPGA frequency

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    Compared to the use of a typical software development flow, the productivity of developing FPGA-based compute applications remains much lower. Although the use of high-level synthesis (HLS) tools may partly alleviate this shortcoming, the lengthy low-level FPGA implementation process remains a major obstacle to high productivity computing, limiting the number of compile-debug-edit cycles per day. Furthermore, high-level application developers often lack the intimate hardware engineering experience that is needed to achieve high performance on FPGAs, therefore undermining their usefulness as accelerators. To address the productivity and performance problems, a HLS methodology that utilizes soft coarse-grained reconfigurable arrays (SCGRAs) as an intermediate compilation step is presented. Instead of compiling high-level applications directly to circuits, the compilation process is reduced to an operation scheduling task targeting the SCGRA. © 2013 IEEE.published_or_final_versio

    A model for peak matrix performance on FPGAs

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    Computations involving matrices form the kernel of a large spectrum of computationally demanding applications for which FPGAs have actively been utilized as accelerators. The performances of such matrix operations on FPGAs are related to underlying architectural parameters such as computational resources, memory and I/O bandwidth. A model that gives bounds on the peak performance of matrix-vector and matrix-matrix multiplication operations on FPGAs based on these parameters is presented. The architecture and efficiency of existing implementations are compared against the model. Future trends in matrix performance on FPGA devices are estimated based on the performance model and system parameters from the past decade. © 2011 IEEE.published_or_final_versio

    The role of religious coping and social support on medication adherence and quality of life among the elderly with type 2 diabetes

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    © 2019, Springer Nature Switzerland AG. Purpose: Type 2 diabetes is a major public health issue particularly in the elderly. Religion may affect the Health Related Quality of Life (HRQoL) in such patients, mediated by factors such as religious coping and social support. This study aimed to investigate the impact of religiosity on medication adherence and HRQoL. Methods: 793 adults (> 65 years old, 45% females) were recruited from 4 diabetes care centers and followed for 1 year. Duke University Religion Index, Spiritual Coping Strategies, Multidimensional Perceived Social Support, Medication Adherence Report Scale, WHOQOL-BREF and Diabetes-specific Quality of Life Questionnaire Module were used for assessment, as well as HbA1c and fasting blood glucose level. Using structural equation modeling, the potential paths were tested between religiosity, medication adherence and HRQoL; social support, religious coping and medication adherence served as the mediators. Results: Religious coping and social support were recognized as the significant mediators between religiosity and medication adherence (CFI = 0.983, TLI = 0.985, and RMSEA = 0.021). The relationships between religiosity and HRQoL were considerably mediated by social support, religious coping and medication adherence and these variables explained 12% and 33% of variances of generic and specific HRQoL, respectively. There was no significant direct effect of religiosity on HRQoL. HbA1c and fasting blood glucose level were successfully loaded on the latent construct of medication adherence (factor loading = 0.51 and 0.44, respectively). Conclusions: The impact of religiosity on medication adherence and HRQoL occurs through the mediators such as religious coping and social support. Therefore, to improve the adherence to treatment and quality of life, interventions may be designed based on these mediators

    A comparison of SAR image speckle filters

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    High quality images of Earth produced by synthetic aperture radar (SAR) systems have become increasingly available, however, SAR images are difficult to interpret. Speckle reduction remains one of the major issues in SAR imaging process, although speckle has been extensively studied for decades. Many reconstruction filters have been proposed and they can be classified into two categories: multilook and/or minimum mean-square error (MMSE) despeckling using the speckle model; and maximum a posteriori (MAP) or maximum likihood (ML) despeckling using the product model. The most well known Lee, Kuan, and Frost filters belong to first category. These filters are based on conventional techniques that were originally derived for stationary signals, such as MMSE. In the second category, filters are based on the product model, such as the MAP Gaussian filter and the Gamma filter, and require knowledge of the a priori probability density function. These filters force speckle to have nonstationary Gaussian or gamma distributed intensity mean. The speckle filtering is mainly Bayesian model fitting that optimizes the MAP criteria. Scene reconstruction is performed using an inversion of the ascending chain. An objective measure is required to compare the technical merits of these filters, and Shi et al. presented a comparison 15 years ago. In this paper, a brief introduction of speckle, product, and filter models is summarized. A review of some most widely used SAR image speckle filters is given. And stationary speckle filters, like Lee, Kuan, and Frost filters, and nonstationary speckle filters like Gamma MAP filter are studied. Despeckling results on stationary and nonstationary SAR image of these speckle filters are presented. © 2009 Copyright SPIE - The International Society for Optical Engineering.published_or_final_versio

    Acupuncture Transmitted Infections

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