265 research outputs found
Guan yu gong ren he gong si jin rong de yan jiu
No full textShen, Beibei.Thesis Ph.D. Chinese University of Hong Kong 2015.Includes bibliographical references.Abstracts also in Chinese.Title from PDF title page (viewed on 02, November, 2016).Shen, Beibei
CUHK electronic theses & dissertations collection
No full textLiu, Beibei.Thesis M.Phil. Chinese University of Hong Kong 2015.Includes bibliographical references (leaves 64-66).Abstracts also in Chinese.Title from PDF title page (viewed on 09, December, 2016)
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Third Party Funding for Dispute Resolution ::A Comparative Study of England, Hong Kong, Singapore, the Netherlands, and Mainland China /
No full textThis book represents a comparative study of Third Party Funding (TPF) and its regulation in England, Hong Kong, Singapore, the Netherlands and the Mainland of China. It provides a general review of the background in which TPF grows and the platform where third party funders are allowed to operate. In each and every chosen jurisdiction, the book analyses the legal risks related to TPF, the regulatory measures and the questions surrounding the challenges that lay ahead. This book is featured by the empirical study of the Chinese TPF market. As of the time of this writing, TPF activities operating in China have not been expanded upon in English or Chinese literature. The language barrier may be one reason. The lack of empirical materials may also contribute to this situation. In order to obtain some first-hand evidence of the TPF market in China, the author conducted empirical research in Shenzhen, with the assistance of Chinese third party funders and some local organizations and authorities. The empirical study took the form of questionnaire surveys. The first survey saw in total 175 responses, and the second saw 18 responses. Due to the fact that many funding arrangements for commercial disputes are kept in the dark, it is hard, if not impossible, to measure the size of the Chinese TPF market. This study provides a dataset that serves a humble purpose; namely to offer an insight into the Chinese TPF market, rather than to grasp the full picture of the industry
Enhancing clustering blog documents by utilizing author/reader comments
No full textBlogs are a new form of internet phenomenon and a vast everincreasing information resource. Mining blog files for information is a very new research direction in data mining. We propose to include the title, body, and comments of the blog pages in clustering datasets from blog documents. In particular, we argue that the author/reader comments of the blog pages may have more discriminating effect in clustering blog documents. We constructed a word-page matrix by downloading blog pages from a well-known website and experimented a k-means clustering algorithm with different weights assigned to the title, body, and comment parts. Our experimental results show that assigning a larger weight value to the blog comments helps the k-means algorithm produce better clustering solutions. The experimental results confirm our hypothesis that the author/reader comments of the blog files are very useful in discriminating blog files
Modelling of Single Mode Waveguide for Infrared Spectroscopy Measurements
No full textThis thesis explores the advancements in infrared spectroscopy with the use of single-mode waveguides. To address the high costs associated with developing new spectroscopic setups, the study employs simulation-based approaches using the finite element method (FEM) via COMSOL Multiphysics' Wave Optics Module. The research involves simulating and analyzing a single-mode waveguide for an IR Attenuated Total Reflection (ATR) spectrometer, developing and comparing two models to optimize transmittance by adjusting parameters like wavelength and refractive index. Validation against experimental data confirms the model's accuracy and identifies potential improvements, showcasing the usefulness of simulations in enhancing spectroscopic design and reducing reliance on costly physical experiments
Question bias and biased question words in Mandarin, German and Bangla
No full textBias is a linguistic phenomenon that is primarily found in questions. Various kinds of biased questions have been studied extensively in the literature, e.g. Negative Polar Questions, Questions with Minimizers, Questions with Verum focus (Ladd 1981, Buring & Gunlogson 2000, Guerzoni 2003, Romero & Han 2004, a.o.). Aside from those biased questions, there are questions with dedicated words that can express bias (i.e. biased question words). Those words are "nandao" in Mandarin, "etwa" in German, and "naki" in Bangla. The current dissertation takes a modal approach to bias, distinct from earlier accounts of bias. In order to find out the nature of bias, e.g. how it is introduced, at which level it is interpreted, and why it is primarily found in questions, I study the three biased question words at the interface of syntax, semantics and pragmatics. Based on the analyses of the three words, I claim that bias is a not-at-issue content that is revealed via the speaker's public belief domain (i.e. Discourse commitment). Considering the phenomenon in general, I isolate three conditions for introducing bias: a preference ranking of alternatives, selection of a particular alternative as privileged, and the requirement to update the Question Under Discussion with the alternatives. Biased question words lexically satisfy all three conditions and give rise to the obligatorily biased reading of questions containing them. With these three conditions, I provide a definition for bias and explain the opening statement that "bias is a linguistic phenomenon that is primarily found in questions".Ph.D.Includes bibliographical referencesby Beibei X
Enhancing clustering blog documents by utilizing author/reader comments
No full textBlogs are a new form of internet phenomenon and a vast ever-increasing information resource. Mining blog files for information is a very new research direction in data mining. Blog files are different from standard web files and may need specialized mining strategies. We propose to include the title, body, and comments of the blog pages in clustering datasets from blog documents. In particular, we argue that the author/reader comments of the blog pages may have more discriminating effect in clustering blog documents. We constructed a word-page matrix by downloading blog pages from a well-known website and experimented a k-means clustering algorithm with different weights assigned to the title, body, and comment parts. Our experimental results show that assigning a larger weight value to the blog comments helps the k-means algorithm produce better clustering solutions. The experimental results confirm our hypothesis that the author/reader comments of the blog files are very useful in discriminating blog files
Analysis on Composition, Characteristics and Functions of Network Young Option Leaders in China
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