In the health care professions today, research guides best clinical practice. Yet, the methodological constraints required by the two main branches of research into Chinese medicine—bio-scientific and socio-historical—rarely assist Chinese medicine students, practitioners, or clinical researchers with treatment and practice issues. A great deal of bio-scientific research assumes that it must be...

Word frequencies play important roles in many NLP-related applications. Word frequency estimation for Chinese remains a big challenge due to the characteristics of Chinese. An underlying fact is that a perfect word-segmented Chinese corpus never exists, and currently we only have raw corpora, which can be of arbitrarily large size, automatically word-segmented corpora derived from raw corpora, ...

Automated text classification technologies have enabled researchers to amass enormous collections of personal narratives posted to English-language weblogs. In this paper, we explore analogous approaches to identify personal narratives in Chinese weblog posts as a precursor to the future empirical studies of cross-cultural differences in narrative structure. We describe the collection of over h...

Weichang’an (WCA) pill, a traditional Chinese patent medicine consisting of ten Chinese medicinal herbs, has been used to treat irritable bowel syndrome and functional dyspepsia for several decades. In this study, twelve bioactive constituents in the methanol extract of WCA were accurately identified since MS/MS fragmentation behavior of the references and the standards by using HPLC-DAD-ESI-MS...

Automated text classification technologies have enabled researchers to amass enormous collections of personal narratives posted to English-language weblogs. In this paper, we explore analogous approaches to identify personal narratives in Chinese weblog posts as a precursor to the future empirical studies of cross-cultural differences in narrative structure. We describe the collection of over h...