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Hong Kong, China

The Chinese University of Hong Kong is a public research university in Shatin, Hong Kong, formally established in 1963 by a charter granted by the Legislative Council of Hong Kong. It is the territory's second oldest institution of higher learning, and the only collegiate university. The University was originally founded as a federation of three existing colleges, Chung Chi College, New Asia College and United College, the oldest of which was founded in 1949.Today, CUHK is organised into nine constituent colleges and eight academic faculties. Though the original statement in the charter of the University stipulates Chinese as the principal language, English is currently the main language of instruction in most classes, with Cantonese and Mandarin Chinese being retained only by a minority of colleges and academic departments. As of 2013, four Nobel laureates are associated with the University, making it the only tertiary institution in the territory with recipients of the Nobel Prize, Turing Award, Fields Medal and Veblen Prize as faculty in residence. Wikipedia.


Huang J.,Chinese University of Hong Kong
IEEE Transactions on Automatic Control | Year: 2011

This technical note further considers the synchronized output regulation problem of linear networked systems proposed in the paper by Xiang We first make the assumptions of the problem more accurate and present a more straightforward solution for the problem. Then we further point out that, under a different detectability condition, the problem can be solved by a decentralized control scheme. © 2006 IEEE. Source


Long intergenic non-coding RNAs (lincRNAs) are emerging as a novel class of non-coding RNAs and potent gene regulators. High-throughput RNA-sequencing combined with de novo assembly promises quantity discovery of novel transcripts. However, the identification of lincRNAs from thousands of assembled transcripts is still challenging due to the difficulties of separating them from protein coding transcripts (PCTs). We have implemented iSeeRNA, a support vector machine (SVM)-based classifier for the identification of lincRNAs. iSeeRNA shows better performance compared to other software. A public available webserver for iSeeRNA is also provided for small size dataset. iSeeRNA demonstrates high prediction accuracy and runs several magnitudes faster than other similar programs. It can be integrated into the transcriptome data analysis pipelines or run as a web server, thus offering a valuable tool for lincRNA study. Source


Wang X.,Chinese University of Hong Kong
Pattern Recognition Letters | Year: 2013

Intelligent multi-camera video surveillance is a multidisciplinary field related to computer vision, pattern recognition, signal processing, communication, embedded computing and image sensors. This paper reviews the recent development of relevant technologies from the perspectives of computer vision and pattern recognition. The covered topics include multi-camera calibration, computing the topology of camera networks, multi-camera tracking, object re-identification, multi-camera activity analysis and cooperative video surveillance both with active and static cameras. Detailed descriptions of their technical challenges and comparison of different solutions are provided. It emphasizes the connection and integration of different modules in various environments and application scenarios. According to the most recent works, some problems can be jointly solved in order to improve the efficiency and accuracy. With the fast development of surveillance systems, the scales and complexities of camera networks are increasing and the monitored environments are becoming more and more complicated and crowded. This paper discusses how to face these emerging challenges. © 2012 Elsevier B.V. All rights reserved. Source


BACKGROUND: The decision as to whether to use more expensive novel oral anticoagulants (NOACs) or invest resources for quality improvement of warfarin therapy requires input from both clinical and economic analyses. OBJECTIVE: Cost-effectiveness of NOACs compared to warfarin therapy at various levels of patient-time in therapeutic range (TTR) in patients with atrial fibrillation was examined, from the healthcare provider's perspective. DESIGN, SUBJECTS AND INTERVENTION: A Markov model was used to compare life-long economic and treatment outcomes of warfarin and NOACs in a hypothetical cohort of 65-year-old atrial fibrillation patients with CHADS2 scores of 2 or above. Model inputs were derived from clinical trials published in the literature. MAIN MEASURES: The outcome measure was incremental cost per quality-adjusted life-year (QALY) gained (ICER). KEY RESULTS: Using United States Dollar (USD) 50,000 as the threshold of willingness-to-pay per QALY, NOACs therapy was cost-effective when TTR of warfarin therapy was 60 % or below, or monthly cost of warfarin management increased by two-fold or more to achieve 70 % TTR. Warfarin therapy was cost-effective when TTR of warfarin was 70 % with up to a 1.5-fold increment in monthly cost of care, or when TTR reached 75 % with monthly cost of warfarin care increased up to three-fold. At TTR 60 %, 70 % and 75 %, NOACs was cost-effective when monthly drug cost was < USD 200, < USD 122-185 and < USD 85-145, respectively. 10,000 Monte Carlo simulations showed NOACs to be cost-effective 83.6 %, 50.7 % and 32.7 % of the time at TTR of 60 %, 70 % and 75 %, respectively. CONCLUSIONS: The acceptance of NOACs as cost-effective was highly dependent upon drug cost, anticoagulation control for warfarin, and anticoagulation service cost. © 2013 Society of General Internal Medicine. Source


Leung C.K.-S.,Chinese University of Hong Kong
Current Opinion in Ophthalmology | Year: 2014

PURPOSE OF REVIEW: Optical coherence tomography (OCT) imaging of the retinal nerve fiber layer (RNFL), optic nerve head (ONH) and macula has gained popularity in recent years to detect and monitor glaucoma. With significant improvement in scan speed and scan resolution, spectral-domain OCT has become an efficient platform to evaluate progressive RNFL thinning and ONH remodeling. This review summarizes the recent progress of OCT RNFL, ONH and macular measurements for the detection of glaucoma progression. RECENT FINDINGS: The RNFL thickness map facilitates visualization of RNFL defects and their progression patterns, and attains a higher sensitivity to detect glaucoma progression compared with the conventional circumpapillary RNFL thickness profile. The measurement of lamina cribrosa displacement is informative to discern the relationship between intraocular pressure and ONH modeling. Ganglion cell and inner plexiform layer analysis has offered a useful alternative to track glaucoma progression. In the interpretation of progression analysis, the impact of age-related change, disease severity and image signal-to-noise ratio should always be considered. SUMMARY: The analyses of the RNFL thickness map, lamina cribrosa displacement and inner macular thickness have provided a new paradigm to evaluate glaucomatous damage and its progression. © 2014 Wolters Kluwer Health. Source

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