95 research outputs found

    Requests On E-Mail: a Cross-Cultural Comparison

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    This study investigates differences in request e-mails written in English by Chinese English learners and native American English speakers The results show that while Chinese English learners treat e-mail communications like either formal letters or telephone conversations, native American English speakers regard e-mail communications as closer to written memos It was also found that although the native American English speakers structure their e-mail request messages in a rather direct sequence, the linguistic forms they employ to express their requests are more indirect In contrast, the Chinese English learners structure their request messages in an indirect sequence, but the linguistic forms they use to realize their requests are more direct Given this contrast, it is not surprising that some of the request samples written by Chinese English learners were judged as very impolite by the native English speaking evaluators in this study The findings of this study thus demonstrate the importance of studying requests within the overall discourse in which they occur. Studying only the linguistic forms used in phrasing the request itself, as in the studies conducted by Blum-Kulka et al (1989), cannot provide us with a full picture of the cultural differences inherent in making requestsPeer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/69055/2/10.1177_003368829802900206.pd

    Tensor based multichannel reconstruction for breast tumours identification from DCE-MRIs

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    A new methodology based on tensor algebra that uses a higher order singular value decomposition to perform three-dimensional voxel reconstruction from a series of temporal images obtained using dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is proposed. Principal component analysis (PCA) is used to robustly extract the spatial and temporal image features and simultaneously de-noise the datasets. Tumour segmentation on enhanced scaled (ES) images performed using a fuzzy C-means (FCM) cluster algorithm is compared with that achieved using the proposed tensorial framework. The proposed algorithm explores the correlations between spatial and temporal features in the tumours. The multi-channel reconstruction enables improved breast tumour identification through enhanced de-noising and improved intensity consistency. The reconstructed tumours have clear and continuous boundaries; furthermore the reconstruction shows better voxel clustering in tumour regions of interest. A more homogenous intensity distribution is also observed, enabling improved image contrast between tumours and background, especially in places where fatty tissue is imaged. The fidelity of reconstruction is further evaluated on the basis of five new qualitative metrics. Results confirm the superiority of the tensorial approach. The proposed reconstruction metrics should also find future applications in the assessment of other reconstruction algorithms

    Three-mode analysis

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    Direct detection of onshore hydrocarbon microseepages by remote sensing techniques

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    Remote sensing to detect hydrocarbon microseepage onshore, has the advantage of recognizing marginal and submarginal low relief structural prospects and all stratigraphic traps that are overlooked by reflection seismograph, besides its fast speed and low cost. The hydrocarbon-induced surface alterations of soil and sediments and associated anomalous vegetation that can be identified from remote sensing imagery are reduction of ferric iron (red bed bleaching), conversion of mixed-layer clays and feldspars to kaolinite, increase of carbonate content and anomalous spectral reflectance of vegetation. Conventional remote sensing data mostly cover 0.4-2.5 μm wavelength region with broad bandwidth that cannot characterize the absorption features caused by hydrocarbon microseepage. High spectral resolution imaging data are demanded
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