696 research outputs found

    The Cultural and Commercial Values of Chinese Retail Complexes Designed in Traditional Vernacular Styles

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    In modern China, more and more buildings in imitation of traditional building style have sprung up. These structures not only have the appearance of historical buildings but also function as modern utilitarian buildings. This paper aims to study such buildings in order to discover the cultural and commercial values of Chinese retail complexes which have been designed in these traditional vernacular styles using the buildings of Fashion Island in Yancheng City as a case study. Firstly, by exploring the background of Fashion Island, the cultural connotations of this area are described which include the origin of Chinese city culture, Hui style architecture, aesthetics and style, and ancestor worship. Furthermore, through the concept of experience consumption, the way in which the commercial building reflects its commercial value is explored. Finally, according to questionnaire responses of both local residents and visitors, it is found that the buildings in Fashion Island inherit the traditional style of Yancheng City and reflect the culture and association of Fashion Island area with the city. Compared with normal commercial buildings, the function and connotation of the buildings that imitate traditional building style is richer, demonstrated by the integration of travel, recreation and shopping, and the connection between the buildings and their goods and services. According to field survey research and questionnaire, the cultural and commercial value of such commercial buildings in Fashion Island was determined. Finally, it was found how the cultural and commercial value of commercial buildings that imitate traditional styles can be expressed

    Interactive content-aware zooming

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    The authors wish to thank Tong-Yee Lee, Yu-Shuen Wang, Hui- Chih Lin, Robert Carroll and Yanwen Guo for sharing some of their results, as well as SeungYong Lee and the anonymous reviewers for their useful comments. We also thank Bernhard Vogl (“bigvienna”), Wikimedia user MarcusObal (“bigparis”), Flickr users Destinys Agent (“power station”), motorito (“beach boats”), andrewstern (“bigyuyuan”) and Diego 3336 (“santos”), for letting us use their images under cc or cc-by-nc licence. This work was supported in part by MKE/MCST/IITA [2008-F- 033-02], MKE/IITA u-Learning, and KRF-2008-313-D00922

    Using preparatory materials to facilitate fine learning and transition of postgraduate coursework students

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    The increased research component in Masters by coursework degrees has meant that most contain research statistics as a core unit, and a degree of trepidation towards this is often witnessed at the beginning of semester, especially among fully online students (Chih, 2013). Students who lack confidence during this transitional period tend to withdraw from or not perform well in the unit, and so a project was undertaken to equip students enrolled in STAT6000 Health Research Methods with adequate statistical skills early in order to assist their confidence building, learning and transition. Students were asked during Orientation week to attempt a diagnostic quiz which was set at a level equivalent to completion of an undergraduate applied statistics unit. Students were then asked to attend preparatory workshops by the end of Week 2 (or to access material and workshop recordings online), which covered descriptive statistics and the normal distribution together with an introduction to inferential statistics and STATA (a statistical software program). The materials were integrated into the unit via the learning management system (Blackboard) since Orientation week. Students were later invited to evaluate the materials using an online, anonymous 11-item survey, with a Likert scale ranging from one (strongly disagree/poor) to five (strongly agree/outstanding). This was followed by open-ended questions on the most/least useful aspects of the materials and on where improvements to the material could be made. This presentation will demonstrate the effectiveness of the preparatory materials in facilitating confidence building, fine learning and transition of these postgraduate students

    Regional differences in percutaneous coronary intervention outcomes in STEMI patients with diabetes: The Asia-Pacific evaluation of cardiovascular therapies (ASPECT) collaboration

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    Background: Diabetes is associated with poorer outcomes and increased complication rates in STEMI patients undergoing percutaneous coronary intervention (PCI). Data are notably lacking in the Asia-Pacific region. We report the overall association of Diabetes with clinical characteristics and outcomes in STEMI patients undergoing PCI across the Asia-Pacific, with a particular focus on regional differences. Methodology: The Asia Pacific Evaluation of Cardiovascular Therapies (ASPECT) collaboration consists of data from various PCI registries across Australia, Hong Kong, Singapore, Malaysia, Indonesia and Vietnam. Clinical characteristics, lesion characteristics, and outcomes were provided for STEMI patients. Key outcomes included 30-day overall mortality and major adverse cardiovascular events (MACE). Results: A total of 12,144 STEMI patients (mean(SD) age 59.3(12.3)) were included, of which 3912 (32.2%) had diabetes. Patients with diabetes were likely to have a higher baseline risk profile, poorer clinical presentation, and more complex lesion patterns (all p < 0.05). Across all regions, patients with diabetes had a higher rate of 30- day mortality and MACE (all p < 0.05). After multivariable adjustment, diabetes was significantly associated with both increased 30-day mortality (9.6%vs 5.5%, OR 1.79 [95% CI 1.40–2.30]) and MACE (13.3% vs 8.6%, R 1.73 [1.44–2.08]). The association between diabetes and 30-day MACE varied by region (pinteraction = 0.041), with the association (OR) ranging from 1.34 [1.08–1.67] in Malaysia, to 2.39 [1.66–3.45] in Singapore. Conclusions: Diabetes portends poorer clinical outcomes in STEMI patients undergoing PCI in the Asia-Pacific with regional variations noted. The development of effective preventative measures and interventional strategies targetted at this high-risk group is crucial.Mark Y.Z. Wong, Jonathan J.L. Yap, Hui Jun Chih, Bryan P.Y. Yan, Alan Y.Y. Fong, John F. Beltrame, Ika Prasetya Wijaya, Hoai T.T. Nguyen, Angela L. Brennan, Christopher M. Reid, Khung Keong Ye

    Atención farmacéutica en la bibliografía nacional e internacional

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    Community Pharmacist-Led Interventions to Improve Preconception and Pregnancy Health: A Systematic Review Polly y col. MDPI/ Pharmacy. 2021;9:171. https://doi.org/10.3390/pharmacy9040171 Provision of pharmaceutical care to suspected high-risk COVID-19 patients through telehealth: a nationwide simulated patient study Itani y col. BMC Health Services Research. 2021;21:997. https://doi.org/10.1186/s12913-021-07014-x Community pharmacist prescribing of antimicrobials: A systematic review from an antimicrobial stewardship perspective. Hui-Chih Wu y col. Can Pharm J (Ott). 2021 May-Jun;154(3):179–192.  https://doi.org/10.1177/171516352199941

    Atención farmacéutica en la bibliografía nacional e internacional

    No full text
    Community Pharmacist-Led Interventions to Improve Preconception and Pregnancy Health: A Systematic Review Polly y col. MDPI/ Pharmacy. 2021;9:171. https://doi.org/10.3390/pharmacy9040171 Provision of pharmaceutical care to suspected high-risk COVID-19 patients through telehealth: a nationwide simulated patient study Itani y col. BMC Health Services Research. 2021;21:997. https://doi.org/10.1186/s12913-021-07014-x Community pharmacist prescribing of antimicrobials: A systematic review from an antimicrobial stewardship perspective. Hui-Chih Wu y col. Can Pharm J (Ott). 2021 May-Jun;154(3):179–192.  https://doi.org/10.1177/171516352199941

    Unique functions of Sonic hedgehog signaling during external genitalia development

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    Mo, R.Show author details, Hui, C.-C.Show author details, Motoyama, J.Show author details, Makino, S.Show author details, Shiroishi, T.Show author details, Gaffield, W.Show author details, Yamada, G.Show author details Correspondence addres

    Inhibition of c-Jun suppresses LPS-induced BPIFA1 expression.

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    <p>Cells were pretreated with 10 μM of SP600125, curcumin, or tanshinone (inhibitors of c-Jun) for 30 min, followed by incubation with LPS (10 μg/ml) for 2 h. Cells were washed and treated with antibodies against (A) phosphorylated c-Jun or (B) BPIFA1, followed by incubation with FITC–conjugated anti-mouse IgG (green). Cells were probed with DAPI to visualize the nucleus (blue) and analyzed by confocal fluorescence microscopy. Bars, 10 μm.</p

    Unique functions of Sonic hedgehog signaling during external genitalia development

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    application/pdf論文(Article)Mo, R.Show author details, Hui, C.-C.Show author details, Motoyama, J.Show author details, Makino, S.Show author details, Shiroishi, T.Show author details, Gaffield, W.Show author details, Yamada, G.Show author details Correspondence addressjournal articl

    On the use of frame and segment-based methods for the detection and classification of speech sounds and features:

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    Statistical data-driven methods and knowledge-based methods are two recent trends in Automatic Speech Recognition (ASR). Hidden Markov Model (HMM)-based speech recognition techniques have achieved great success for controlled tasks and environments. However, when we require improved accuracy and robustness (closer to Human Speech Recognition (HSR)), HMM algorithms for speech recognition gradually fail. Hence a need has emerged to incorporate higher level linguistic information into ASR systems in order to further discriminate between speech classes or phonemes with high confusion rates. The Automatic Speech Attribute Transcription (ASAT) project is one of the recent research efforts that has tried to bridge the gap between ASR and HSR. In this thesis we focus on the design and optimization of the front end processing of the ASAT system, whose goal is to estimate a set of attribute and phoneme probability lattices which can be combined with information from higher level knowledge sources in a set of speech event verification modules in order to make a final recognition decision. We propose a set of both frame-based methods and segment-based methods to improve the recognition performance of distinctive features and phonemes in English. We also study and evaluate both a parallel speech feature organization and a hierarchical phoneme topology. There are 4 main parts in this thesis work. In the first part, we use frame-based methods to estimate the likelihood of static sounds (e.g., steady vowels, fricatives, etc), and implement the parallel feature detection using Multi-Layer Perceptrons (MLPs) in order to detect the 14 Sound Pattern of English (SPE) features. In the second part, we use segment-based methods to classify dynamic sounds (e.g., stop consonants, diphthongs, etc), and use Time-Delay Neural Networks (TDNNs) to recognize phoneme classes in a hierarchical phoneme and feature organization. In the third part and in the forth part, we combine the frame-based parallel speech feature detection system and the segment-based hierarchical phoneme classification system to improve the overall phoneme classification performance and the speech feature detection performance. The main contribution of this thesis is the creation of a phoneme recognizer that overcomes the disadvantages of pure statistical or knowledge-based systems, and provides a way to incorporate acoustic/phonetic/linguistic knowledge into an existing (HMM-based) automatic speech recognition system.Ph.D.Includes bibliographical references (p. 121-126)by Jun Ho
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