Institution
New York University
Education•New York, New York, United States•
About: New York University is a education organization based out in New York, New York, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 72380 authors who have published 165545 publications receiving 8334030 citations. The organization is also known as: NYU & University of the City of New York.
Topics: Population, Poison control, Context (language use), Health care, Cancer
Papers published on a yearly basis
Papers
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01 Dec 2003TL;DR: This paper proposes a multi-scale structural similarity method, which supplies more flexibility than previous single-scale methods in incorporating the variations of viewing conditions, and develops an image synthesis method to calibrate the parameters that define the relative importance of different scales.
Abstract: The structural similarity image quality paradigm is based on the assumption that the human visual system is highly adapted for extracting structural information from the scene, and therefore a measure of structural similarity can provide a good approximation to perceived image quality. This paper proposes a multi-scale structural similarity method, which supplies more flexibility than previous single-scale methods in incorporating the variations of viewing conditions. We develop an image synthesis method to calibrate the parameters that define the relative importance of different scales. Experimental comparisons demonstrate the effectiveness of the proposed method.
1,205 citations
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Indiana University1, University of Notre Dame2, Utah State University3, University of New Hampshire4, University of California, Santa Barbara5, University of Tokyo6, United States Department of Energy7, Ludwig Maximilian University of Munich8, J. Craig Venter Institute9, National Institutes of Health10, University of Illinois at Urbana–Champaign11, Hebrew University of Jerusalem12, University of North Texas13, Harvard University14, University of Geneva15, Research Institute of Molecular Pathology16, Oregon State University17, Utrecht University18, University of California, Davis19, Hoffmann-La Roche20, University of Iowa21, University of Strasbourg22, University of Washington23, University of Texas at Arlington24, University of California, Santa Cruz25, Life Technologies26, New York University27, University of Guelph28, Imperial College London29, University of California, Berkeley30
TL;DR: The Daphnia genome reveals a multitude of genes and shows adaptation through gene family expansions, and the coexpansion of gene families interacting within metabolic pathways suggests that the maintenance of duplicated genes is not random.
Abstract: We describe the draft genome of the microcrustacean Daphnia pulex, which is only 200 megabases and contains at least 30,907 genes. The high gene count is a consequence of an elevated rate of gene duplication resulting in tandem gene clusters. More than a third of Daphnia's genes have no detectable homologs in any other available proteome, and the most amplified gene families are specific to the Daphnia lineage. The coexpansion of gene families interacting within metabolic pathways suggests that the maintenance of duplicated genes is not random, and the analysis of gene expression under different environmental conditions reveals that numerous paralogs acquire divergent expression patterns soon after duplication. Daphnia-specific genes, including many additional loci within sequenced regions that are otherwise devoid of annotations, are the most responsive genes to ecological challenges.
1,204 citations
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04 Dec 2006TL;DR: A novel unsupervised method for learning sparse, overcomplete features using a linear encoder, and a linear decoder preceded by a sparsifying non-linearity that turns a code vector into a quasi-binary sparse code vector.
Abstract: We describe a novel unsupervised method for learning sparse, overcomplete features. The model uses a linear encoder, and a linear decoder preceded by a sparsifying non-linearity that turns a code vector into a quasi-binary sparse code vector. Given an input, the optimal code minimizes the distance between the output of the decoder and the input patch while being as similar as possible to the encoder output. Learning proceeds in a two-phase EM-like fashion: (1) compute the minimum-energy code vector, (2) adjust the parameters of the encoder and decoder so as to decrease the energy. The model produces "stroke detectors" when trained on handwritten numerals, and Gabor-like filters when trained on natural image patches. Inference and learning are very fast, requiring no preprocessing, and no expensive sampling. Using the proposed unsupervised method to initialize the first layer of a convolutional network, we achieved an error rate slightly lower than the best reported result on the MNIST dataset. Finally, an extension of the method is described to learn topographical filter maps.
1,204 citations
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TL;DR: In a cohort of 6,441 volunteers followed over an average of 8.2 years, Naresh Punjabi and colleagues find sleep-disordered breathing to be independently associated with mortality and identify predictive characteristics.
Abstract: Background: Sleep-disordered breathing is a common condition associated with adverse health outcomes including hypertension and cardiovascular disease. The overall objective of this study was to determine whether sleep-disordered breathing and its sequelae of intermittent hypoxemia and recurrent arousals are associated with mortality in a community sample of adults aged 40 years or older. Methods and Findings: We prospectively examined whether sleep-disordered breathing was associated with an increased risk of death from any cause in 6,441 men and women participating in the Sleep Heart Health Study. Sleep-disordered breathing was assessed with the apnea–hypopnea index (AHI) based on an in-home polysomnogram. Survival analysis and proportional hazards regression models were used to calculate hazard ratios for mortality after adjusting for age, sex, race, smoking status, body mass index, and prevalent medical conditions. The average follow-up period for the cohort was 8.2 y during which 1,047 participants (587 men and 460 women) died. Compared to those without sleep-disordered breathing (AHI: ,5 events/h), the fully adjusted hazard ratios for all-cause mortality in those with mild (AHI: 5.0–14.9 events/h), moderate (AHI: 15.0–29.9 events/h), and severe (AHI: $30.0 events/h) sleep-disordered breathing were 0.93 (95% CI: 0.80– 1.08), 1.17 (95% CI: 0.97–1.42), and 1.46 (95% CI: 1.14–1.86), respectively. Stratified analyses by sex and age showed that the increased risk of death associated with severe sleep-disordered breathing was statistically significant in men aged 40–70 y (hazard ratio: 2.09; 95% CI: 1.31–3.33). Measures of sleep-related intermittent hypoxemia, but not sleep fragmentation, were independently associated with all-cause mortality. Coronary artery disease–related mortality associated with sleepdisordered breathing showed a pattern of association similar to all-cause mortality. Conclusions: Sleep-disordered breathing is associated with all-cause mortality and specifically that due to coronary artery disease, particularly in men aged 40–70 y with severe sleep-disordered breathing. Please see later in the article for the Editors’ Summary.
1,204 citations
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TL;DR: This work quantified the negative correlation between these two networks in 26 subjects, during active (Eriksen flanker task) and resting state scans, and found that the strength of the correlation between the two networks varies across individuals.
1,204 citations
Authors
Showing all 73237 results
Name | H-index | Papers | Citations |
---|---|---|---|
Rob Knight | 201 | 1061 | 253207 |
Virginia M.-Y. Lee | 194 | 993 | 148820 |
Frank E. Speizer | 193 | 636 | 135891 |
Stephen V. Faraone | 188 | 1427 | 140298 |
Eric R. Kandel | 184 | 603 | 113560 |
Andrei Shleifer | 171 | 514 | 271880 |
Eliezer Masliah | 170 | 982 | 127818 |
Roderick T. Bronson | 169 | 679 | 107702 |
Timothy A. Springer | 167 | 669 | 122421 |
Alvaro Pascual-Leone | 165 | 969 | 98251 |
Nora D. Volkow | 165 | 958 | 107463 |
Dennis R. Burton | 164 | 683 | 90959 |
Charles N. Serhan | 158 | 728 | 84810 |
Giacomo Bruno | 158 | 1687 | 124368 |
Tomas Hökfelt | 158 | 1033 | 95979 |