Institution
The Chinese University of Hong Kong
Education•Hong Kong, China•
About: The Chinese University of Hong Kong is a education organization based out in Hong Kong, China. It is known for research contribution in the topics: Population & Cancer. The organization has 43411 authors who have published 93672 publications receiving 3066651 citations.
Topics: Population, Cancer, Poison control, Randomized controlled trial, China
Papers published on a yearly basis
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George Washington University1, University of Pennsylvania2, University of California, San Francisco3, Alfaisal University4, Harvard University5, Leipzig University6, Olean General Hospital7, University of Helsinki8, University of Sheffield9, Karolinska Institutet10, The Chinese University of Hong Kong11, Tufts University12, Australian National University13, University of Toronto14
TL;DR: In this article, the authors describe emergency care systems and the extent of crowding across 15 countries outside of the United States: Australia, Canada, Denmark, Finland, France, Germany, Hong Kong, India, Iran, Italy, The Netherlands, Saudi Arabia, Catalonia (Spain), Sweden, and the United Kingdom.
Abstract: The maturation of emergency medicine (EM) as a specialty has coincided with dramatic increases in emergency department (ED) visit rates, both in the United States and around the world ED crowding has become a public health problem where periodic supply and demand mismatches in ED and hospital resources cause long waiting times and delays in critical treatments ED crowding has been associated with several negative clinical outcomes, including higher complication rates and mortality This article describes emergency care systems and the extent of crowding across 15 countries outside of the United States: Australia, Canada, Denmark, Finland, France, Germany, Hong Kong, India, Iran, Italy, The Netherlands, Saudi Arabia, Catalonia (Spain), Sweden, and the United Kingdom The authors are local emergency care leaders with knowledge of emergency care in their particular countries Where available, data are provided about visit patterns in each country; however, for many of these countries, no national data are available on ED visits rates or crowding For most of the countries included, there is both objective evidence of increases in ED visit rates and ED crowding and also subjective assessments of trends toward higher crowding in the ED ED crowding appears to be worsening in many countries despite the presence of universal health coverage Scandinavian countries with robust systems to manage acute care outside the ED do not report crowding is a major problem The main cause for crowding identified by many authors is the boarding of admitted patients, similar to the United States Many hospitals in these countries have implemented operational interventions to mitigate crowding in the ED, and some countries have imposed strict limits on ED length of stay (LOS), while others have no clear plan to mitigate crowding An understanding of the causes and potential solutions implemented in these countries can provide a lens into how to mitigate ED crowding in the United States through health policy interventions and hospital operational changes
475 citations
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TL;DR: Those who received lorlatinib had significantly longer progression-free survival and a higher frequency of intracranial response than those who received crizotinib.
Abstract: Background Lorlatinib, a third-generation inhibitor of anaplastic lymphoma kinase (ALK), has antitumor activity in previously treated patients with ALK-positive non–small-cell lung cancer ...
474 citations
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TL;DR: In this article, the authors argue that management sells assets when doing so provides the cheapest funds to pursue its objectives rather than for operating efficiency reasons alone, and they find that the typical firm in their sample performs poorly before the sale and that the average stock-price reaction to asset sales is positive only when the proceeds are paid out.
474 citations
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25 Jun 2006TL;DR: A framework for "batch mode active learning" that applies the Fisher information matrix to select a number of informative examples simultaneously and is more effective than the state-of-the-art algorithms for active learning.
Abstract: The goal of active learning is to select the most informative examples for manual labeling. Most of the previous studies in active learning have focused on selecting a single unlabeled example in each iteration. This could be inefficient since the classification model has to be retrained for every labeled example. In this paper, we present a framework for "batch mode active learning" that applies the Fisher information matrix to select a number of informative examples simultaneously. The key computational challenge is how to efficiently identify the subset of unlabeled examples that can result in the largest reduction in the Fisher information. To resolve this challenge, we propose an efficient greedy algorithm that is based on the property of submodular functions. Our empirical studies with five UCI datasets and one real-world medical image classification show that the proposed batch mode active learning algorithm is more effective than the state-of-the-art algorithms for active learning.
473 citations
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TL;DR: Li et al. as discussed by the authors examined the role of earnings management in the financial packaging of Chinese state-owned enterprises (SOEs) for public listing and found a statistically significant post-issue earnings decline for unprotected industry firms.
Abstract: This paper examines the earnings patterns of initial public offering (IPO) firms in China to shed light on the role of earnings management in the "financial packaging" of Chinese state-owned enterprises (SOEs) for public listing. We base our analysis on the case of B-Shares and H-Shares in China, two types of securities that now allow foreign investors to buy shares in SOEs previously wholly owned by the state. These IPOs mark the beginning of the stock market in China and signify an important step of Chinese economic reform. We examine the pre- and post-IPO earnings patterns for the entire sample, and separately for firms in protected vs. unprotected industries and for B-Shares vs. H-Shares. We find a statistically significant post-issue earnings decline for unprotected industry firms. This earnings decline is most significant for unprotected B-Share firms, and marginally significant for protected B-Share and unprotected H-Share firms, but not significant for protected H-Share firms. In addition, we find some evidence that the accounting accruals of sample firms in unprotected industries decline whereas their cash flows from operations increase after the IPO. Taken together, earnings management in the process of financial packaging seems to depend on the firm's relationship with the central government and on where the securities are listed. The evidence also suggests that the SOEs in unprotected industries may manage accounting accruals to boost earnings and/or list those business units with temporarily high profits resulting from high accounting accruals during the process of financial packaging.
472 citations
Authors
Showing all 43993 results
Name | H-index | Papers | Citations |
---|---|---|---|
Michael Marmot | 193 | 1147 | 170338 |
Jing Wang | 184 | 4046 | 202769 |
Jiaguo Yu | 178 | 730 | 113300 |
Yang Yang | 171 | 2644 | 153049 |
Mark Gerstein | 168 | 751 | 149578 |
Gang Chen | 167 | 3372 | 149819 |
Jun Wang | 166 | 1093 | 141621 |
Jean Louis Vincent | 161 | 1667 | 163721 |
Wei Zheng | 151 | 1929 | 120209 |
Rui Zhang | 151 | 2625 | 107917 |
Ben Zhong Tang | 149 | 2007 | 116294 |
Kypros H. Nicolaides | 147 | 1302 | 87091 |
Thomas S. Huang | 146 | 1299 | 101564 |
Galen D. Stucky | 144 | 958 | 101796 |
Joseph J.Y. Sung | 142 | 1240 | 92035 |