Institution
Boston University
Education•Boston, Massachusetts, United States•
About: Boston University is a education organization based out in Boston, Massachusetts, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 48688 authors who have published 119622 publications receiving 6276020 citations. The organization is also known as: BU & Boston U.
Papers published on a yearly basis
Papers
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TL;DR: A dense whole-genome scan of DNA samples from the Framingham Heart Study participants was used to identify a common genetic variant near the INSIG2 gene associated with obesity, suggesting that common genetic polymorphisms are important determinants of obesity.
Abstract: Obesity is a heritable trait and a risk factor for many common diseases such as type 2 diabetes, heart disease, and hypertension. We used a dense whole-genome scan of DNA samples from the Framingham Heart Study participants to identify a common genetic variant near the INSIG2 gene associated with obesity. We have replicated the finding in four separate samples composed of individuals of Western European ancestry, African Americans, and children. The obesity-predisposing genotype is present in 10% of individuals. Our study suggests that common genetic polymorphisms are important determinants of obesity.
727 citations
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Technical University of Madrid1, Spanish National Research Council2, University of Pennsylvania3, Washington University in St. Louis4, Pierre-and-Marie-Curie University5, Universidad Miguel Hernández de Elche6, RWTH Aachen University7, New York University8, Max Planck Society9, Hungarian Academy of Sciences10, University of Pittsburgh11, Stanford University12, École Polytechnique Fédérale de Lausanne13, Icahn School of Medicine at Mount Sinai14, Cold Spring Harbor Laboratory15, University of Debrecen16, National Institutes of Health17, Technische Universität München18, German Cancer Research Center19, Brandeis University20, Boston University21, French Institute of Health and Medical Research22, University of California, San Francisco23, University of California, San Diego24, Yale University25, George Washington University26, University of Göttingen27, University of Szeged28, University College London29, Wenzhou Medical College30, Tufts University31, Howard Hughes Medical Institute32, Krasnow Institute for Advanced Study33
TL;DR: A possible taxonomical solution for classifying GABAergic interneurons of the cerebral cortex based on a novel, web-based interactive system that allows experts to classify neurons with pre-determined criteria is described.
Abstract: A systematic classification and accepted nomenclature of neuron types is much needed but is currently lacking. This article describes a possible taxonomical solution for classifying GABAergic interneurons of the cerebral cortex based on a novel, web-based interactive system that allows experts to classify neurons with pre-determined criteria. Using Bayesian analysis and clustering algorithms on the resulting data, we investigated the suitability of several anatomical terms and neuron names for cortical GABAergic interneurons. Moreover, we show that supervised classification models could automatically categorize interneurons in agreement with experts' assignments. These results demonstrate a practical and objective approach to the naming, characterization and classification of neurons based on community consensus.
727 citations
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TL;DR: In this paper, the authors examined linkages between strategy, incentive bonus system and effectiveness at the strategic busines unit (SBU) level within diversified firms, and found that the relationship between extent of reliance on short run criteria and effectiveness is virtually independent of SBU strategy.
Abstract: Rooted in contingency theory, this paper examines linkages between strategy, incentive bonus system and effectiveness at the strategic busines unit (SBU) level within diversified firms. Data from 58 SBUs reveal (1) that greater reliance on long-run criteria as well as subjective (non-formula) approaches for determining the SBU general managers’ bonus contributes to effectiveness in the case of ‘build’ SBUs but hampers it in the case of ‘harvest’ SBUs, and (2) that the relationship between extent of reliance on short-run criteria and effectiveness is virtually independent of SBU strategy.
726 citations
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TL;DR: The approach integrates a number of domain-specific high-level features such as pattern class and ridge density at higher levels of the search and incorporates elastic structural feature-based matching for indexing the database at the lowest level.
Abstract: With the current rapid growth in multimedia technology, there is an imminent need for efficient techniques to search and query large image databases. Because of their unique and peculiar needs, image databases cannot be treated in a similar fashion to other types of digital libraries. The contextual dependencies present in images, and the complex nature of two-dimensional image data make the representation issues more difficult for image databases. An invariant representation of an image is still an open research issue. For these reasons, it is difficult to find a universal content-based retrieval technique. Current approaches based on shape, texture, and color for indexing image databases have met with limited success. Further, these techniques have not been adequately tested in the presence of noise and distortions. A given application domain offers stronger constraints for improving the retrieval performance. Fingerprint databases are characterized by their large size as well as noisy and distorted query images. Distortions are very common in fingerprint images due to elasticity of the skin. In this paper, a method of indexing large fingerprint image databases is presented. The approach integrates a number of domain-specific high-level features such as pattern class and ridge density at higher levels of the search. At the lowest level, it incorporates elastic structural feature-based matching for indexing the database. With a multilevel indexing approach, we have been able to reduce the search space. The search engine has also been implemented on Splash 2-a field programmable gate array (FPGA)-based array processor to obtain near-ASIC level speed of matching. Our approach has been tested on a locally collected test data and on NIST-9, a large fingerprint database available in the public domain.
725 citations
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TL;DR: In this paper, a modified Cox model that allows adjustment for competing risk of noncardiovascular death was used to construct a prediction algorithm for 30-year risk of hard CVD events (coronary death, myocardial infarction, stroke).
Abstract: Background— Present cardiovascular disease (CVD) risk prediction algorithms were developed for a ≤10-year follow up period. Clustering of risk factors at younger ages and increasing life expectancy suggest the need for longer-term risk prediction tools. Methods and Results— We prospectively followed 4506 participants (2333 women) of the Framingham Offspring cohort aged 20 to 59 years and free of CVD and cancer at baseline examination in 1971–1974 for the development of “hard” CVD events (coronary death, myocardial infarction, stroke). We used a modified Cox model that allows adjustment for competing risk of noncardiovascular death to construct a prediction algorithm for 30-year risk of hard CVD. Cross-validated survival C statistic and calibration χ2 were used to assess model performance. The 30-year hard CVD event rates adjusted for the competing risk of death were 7.6% for women and 18.3% for men. Standard risk factors (male sex, systolic blood pressure, antihypertensive treatment, total and high-densit...
724 citations
Authors
Showing all 49233 results
Name | H-index | Papers | Citations |
---|---|---|---|
Walter C. Willett | 334 | 2399 | 413322 |
Robert Langer | 281 | 2324 | 326306 |
Meir J. Stampfer | 277 | 1414 | 283776 |
Ronald C. Kessler | 274 | 1332 | 328983 |
JoAnn E. Manson | 270 | 1819 | 258509 |
Albert Hofman | 267 | 2530 | 321405 |
George M. Whitesides | 240 | 1739 | 269833 |
Paul M. Ridker | 233 | 1242 | 245097 |
Eugene Braunwald | 230 | 1711 | 264576 |
Ralph B. D'Agostino | 226 | 1287 | 229636 |
David J. Hunter | 213 | 1836 | 207050 |
Daniel Levy | 212 | 933 | 194778 |
Christopher J L Murray | 209 | 754 | 310329 |
Tamara B. Harris | 201 | 1143 | 163979 |
André G. Uitterlinden | 199 | 1229 | 156747 |