3,762 research outputs found

    Prevalence and severity of symptoms in terminal cancer patients: a study in Taiwan

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    This paper reports a prospective study conducted between September 1997 and July 1998 in 232 consecutive patients with terminal cancer. A structured data collection form was used daily to evaluate symptoms, which were analyzed at the time of admission, 1 week after admission and 48 h before death. Terminal cancer patients in this study were polysymptomatic. There were no statistically significant differences in the prevalence of most symptoms with the primary site of cancer. The majority of symptoms improved at the end of the Ist week after admission, but many symptoms worsened just before death. The high prevalence of symptoms and lack of significant difference among primary tumor sites may be related to shorter survival times caused by late referral, which is common in Taiwan

    On the Rhyme 歌 in the Yün Ching (韻鏡)

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    Many reexaminations of the phonemic system of the Ch’ieh Yün have been made after the presentation of Karlgren’s brilliant task. Concerning the rhyme 歌, however, it is almost established that the vowel was /ɑ/, opposing to the front vowel /ɑ/ of the rhyme 麻 etc., in Ancient Chinese. A single exception is C. W. Luh’s solution that assumes the vowel as /v/. (Luh Chih Wei: The Phonology of Ancient Chinese. Yenching Journal of Chinese Studies. Monograph Series No. 20, 1947) In this respect, the author cannot agree with him, especially from the view-point of the pattern of rhymes that is found in the relation to the upper character of fan ch’ieh (反切上字).Regarding the vowel of the rhyme 歌 as /a/ in Ancient Chinese, we have to solve the question why the rhymes 歌 and 麻 were arranged in the separate tables in Yün Ching, because, in Yün Ching, it is recognizable that both the rhymes containing /ɑ/ as a principle vowel and the rhymes containing /a/ are arranged in the same table. The author solves the question by the phonetic change of the vowel /a/ > /ɔ/ in open syllables that happened between the Ch’ieh Yün and Yün Ching, and this way of interpretation should not be restricted within this rhyme only. (cf. the author’s article “On the III and IV divisions of Yün Ching” in the Journal of the Linguistic Society of Japan, No. 21)Moreover, this solution seems to be suggestive to the meaning of 内外轉 denoted in the Yün Ching, for the rhymes 歌 and 麻 are denoted distinctively: the former as 内轉 and the latter as 外轉. But, the question of 外轉 for the group 臻 being not yet solved, a complete interpretation of 内外轉 demands further investigations.journal articl

    Sticherus bifidus (Willd.) Ching

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    Honduras, Olancho Campamento, Montana La Bellota. LAT (14°38'02'' N) N; LONG (86°40'51'' W) W. ALT (1000). Honduras. Sobre el matorral del bosque mixto y húmedo de Montaña ìLa Bellota 20 Kms. al N. O. de Campamento, Dept. Olancho. Alt. ì1000 m

    Jerome Silbergeld and Dora C. Y. Ching (eds.), The Family Model in Chinese Art and Culture, P. Y. and Kinmay W. Tang Center for East Asian Art, Department of Art and Archeology, Princeton, 2013

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    Lauwaert Françoise. Jerome Silbergeld and Dora C. Y. Ching (eds.), The Family Model in Chinese Art and Culture, P. Y. and Kinmay W. Tang Center for East Asian Art, Department of Art and Archeology, Princeton, 2013. In: Études chinoises, vol. 37, n°1,2018. pp. 141-160

    Distributed human computation framework for linked data co-reference resolution

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    Distributed Human Computation (DHC) is a technique used to solve computational problems by incorporating the collaborative effort of a large number of humans. It is also a solution to AI-complete problems such as natural language processing. The Semantic Web with its root in AI is envisioned to be a decentralised world-wide information space for sharing machine-readable data with minimal integration costs. There are many research problems in the Semantic Web that are considered as AI-complete problems. An example is co-reference resolution, which involves determining whether different URIs refer to the same entity. This is considered to be a significant hurdle to overcome in the realisation of large-scale Semantic Web applications. In this paper, we propose a framework for building a DHC system on top of the Linked Data Cloud to solve various computational problems. To demonstrate the concept, we are focusing on handling the co-reference resolution in the Semantic Web when integrating distributed datasets. The traditional way to solve this problem is to design machine-learning algorithms. However, they are often computationally expensive, error-prone and do not scale. We designed a DHC system named iamResearcher, which solves the scientific publication author identity co-reference problem when integrating distributed bibliographic datasets. In our system, we aggregated 6 million bibliographic data from various publication repositories. Users can sign up to the system to audit and align their own publications, thus solving the co-reference problem in a distributed manner. The aggregated results are published to the Linked Data Cloud
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