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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TL;DR: Recordings from the visual cortex of mouse and monkey are used to investigate the relationship between individual neurons and the population, and to establish the underlying circuit mechanisms, showing that neighbouring neurons can differ in their coupling to the overall firing of the population.
Abstract: A large population of neurons can, in principle, produce an astronomical number of distinct firing patterns In cortex, however, these patterns lie in a space of lower dimension, as if individual neurons were "obedient members of a huge orchestra" Here we use recordings from the visual cortex of mouse (Mus musculus) and monkey (Macaca mulatta) to investigate the relationship between individual neurons and the population, and to establish the underlying circuit mechanisms We show that neighbouring neurons can differ in their coupling to the overall firing of the population, ranging from strongly coupled 'choristers' to weakly coupled 'soloists' Population coupling is largely independent of sensory preferences, and it is a fixed cellular attribute, invariant to stimulus conditions Neurons with high population coupling are more strongly affected by non-sensory behavioural variables such as motor intention Population coupling reflects a causal relationship, predicting the response of a neuron to optogenetically driven increases in local activity Moreover, population coupling indicates synaptic connectivity; the population coupling of a neuron, measured in vivo, predicted subsequent in vitro estimates of the number of synapses received from its neighbours Finally, population coupling provides a compact summary of population activity; knowledge of the population couplings of n neurons predicts a substantial portion of their n(2) pairwise correlations Population coupling therefore represents a novel, simple measure that characterizes the relationship of each neuron to a larger population, explaining seemingly complex network firing patterns in terms of basic circuit variables
438 citations
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University of Sydney1, St George's Hospital2, Johns Hopkins University3, Population Health Research Institute4, Karolinska Institutet5, Ruijin Hospital6, Brigham and Women's Hospital7, The George Institute for Global Health8, Barts Health NHS Trust9, Boston University10, University of Modena and Reggio Emilia11, National Yang-Ming University12, University Hospital of Basel13, François Rabelais University14, University of Birmingham15, Mayo Clinic16, University of Toronto17, University of Western Australia18, Trinity College, Dublin19, Cornell University20, Lankenau Institute for Medical Research21, The Chinese University of Hong Kong22, Aalborg University23, Edinburgh Napier University24, Duke University25, University of Auckland26, University of Belgrade27, University of Groningen28, University of Alberta29, University of Hong Kong30, University of Copenhagen31, Stanford University32, VA Palo Alto Healthcare System33, University of Göttingen34
TL;DR: A strong case for AF screening now is provided while recognizing that large randomized outcomes studies would be helpful to strengthen the evidence base.
Abstract: Approximately 10% of ischemic strokes are associated with atrial fibrillation (AF) first diagnosed at the time of stroke. Detecting asymptomatic AF would provide an opportunity to prevent these strokes by instituting appropriate anticoagulation. The AF-SCREEN international collaboration was formed in September 2015 to promote discussion and research about AF screening as a strategy to reduce stroke and death and to provide advocacy for implementation of country-specific AF screening programs. During 2016, 60 expert members of AF-SCREEN, including physicians, nurses, allied health professionals, health economists, and patient advocates, were invited to prepare sections of a draft document. In August 2016, 51 members met in Rome to discuss the draft document and consider the key points arising from it using a Delphi process. These key points emphasize that screen-detected AF found at a single timepoint or by intermittent ECG recordings over 2 weeks is not a benign condition and, with additional stroke factors, carries sufficient risk of stroke to justify consideration of anticoagulation. With regard to the methods of mass screening, handheld ECG devices have the advantage of providing a verifiable ECG trace that guidelines require for AF diagnosis and would therefore be preferred as screening tools. Certain patient groups, such as those with recent embolic stroke of uncertain source (ESUS), require more intensive monitoring for AF. Settings for screening include various venues in both the community and the clinic, but they must be linked to a pathway for appropriate diagnosis and management for screening to be effective. It is recognized that health resources vary widely between countries and health systems, so the setting for AF screening should be both country- and health system-specific. Based on current knowledge, this white paper provides a strong case for AF screening now while recognizing that large randomized outcomes studies would be helpful to strengthen the evidence base.
437 citations
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07 Jun 2015TL;DR: This work jointly optimize pedestrian detection with semantic tasks, including pedestrian attributes and scene attributes, by proposing a novel deep model to learn high-level features from multiple tasks and multiple data sources.
Abstract: Deep learning methods have achieved great successes in pedestrian detection, owing to its ability to learn discriminative features from raw pixels. However, they treat pedestrian detection as a single binary classification task, which may confuse positive with hard negative samples (Fig.1 (a)). To address this ambiguity, this work jointly optimize pedestrian detection with semantic tasks, including pedestrian attributes (e.g. ‘carrying backpack’) and scene attributes (e.g. ‘vehicle’, ‘tree’, and ‘horizontal’). Rather than expensively annotating scene attributes, we transfer attributes information from existing scene segmentation datasets to the pedestrian dataset, by proposing a novel deep model to learn high-level features from multiple tasks and multiple data sources. Since distinct tasks have distinct convergence rates and data from different datasets have different distributions, a multi-task deep model is carefully designed to coordinate tasks and reduce discrepancies among datasets. Extensive evaluations show that the proposed approach outperforms the state-of-the-art on the challenging Caltech [9] and ETH [10] datasets where it reduces the miss rates of previous deep models by 17 and 5.5 percent, respectively.
437 citations
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TL;DR: A better understanding of the mechanisms by which tubular injury drives inflammation and fibrosis is necessary for the development of therapeutics to halt the progression of chronic kidney disease.
437 citations
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06 Jul 2009TL;DR: The comprehensive experimental analysis shows that WSRec achieves better prediction accuracy than other approaches, and includes a user-contribution mechanism for Web service QoS information collection and an effective and novel hybrid collaborative filtering algorithm for Web Service QoS value prediction.
Abstract: As the abundance of Web services on the World Wide Web increase,designing effective approaches for Web service selection and recommendation has become more and more important. In this paper, we present WSRec, a Web service recommender system, to attack this crucial problem. WSRec includes a user-contribution mechanism for Web service QoS information collection and an effective and novel hybrid collaborative filtering algorithm for Web service QoS value prediction. WSRec is implemented by Java language and deployed to the real-world environment. To study the prediction performance, A total of 21,197 public Web services are obtained from the Internet and a large-scale real-world experiment is conducted, where more than 1.5 millions test results are collected from 150 service users in different countries on 100 publicly available Web services located all over the world. The comprehensive experimental analysis shows that WSRec achieves better prediction accuracy than other approaches.
436 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 |