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Institution

Vanderbilt University

EducationNashville, Tennessee, United States
About: Vanderbilt University is a education organization based out in Nashville, Tennessee, United States. It is known for research contribution in the topics: Population & Cancer. The organization has 45066 authors who have published 106528 publications receiving 5435039 citations. The organization is also known as: Vandy.


Papers
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Journal ArticleDOI
TL;DR: In this article, the authors measured the luminosity and color dependence of galaxy clustering in the largest-ever galaxy redshift survey, the main galaxy sample of the Sloan Digital Sky Survey (SDSS) Seventh Data Release (DR7).
Abstract: We measure the luminosity and color dependence of galaxy clustering in the largest-ever galaxy redshift survey, the main galaxy sample of the Sloan Digital Sky Survey (SDSS) Seventh Data Release (DR7). We focus on the projected correlation function wp(rp) of volume-limited samples, extracted from the parent sample of ∼ 700,000 galaxies over 8000 deg 2 , extending up to redshift of 0.25. We interpret our measurements using halo occupation distribution (HOD) modeling assuming aCDM cosmol- ogy (inflationary cold dark matter with a cosmological constant). The amplitude of wp(rp) grows slowly with luminosity for L L) × (�8/0.8) = 1.06 + 0.21(L/L∗) 1.12 , where L is the sample luminosity threshold. At fixed luminosity, redder galaxies exhibit a higher amplitude and steeper correlation function, a steady trend that runs through the "blue cloud" and "green valley" and continues across the "red sequence." The cross-correlation of red and blue galaxies is close to the geometric mean of their auto- correlations, dropping slightly below at rp 4L∗, but the lowest luminosity red galaxies (0.04−0.25L∗) show very strong clustering on small scales (rp < 2h −1 Mpc). Most of the observed trends can be naturally understood within theCDM+HOD framework. The growth of wp(rp) for higher luminosity galaxies reflects an overall shift in the mass scale of their host dark matter halos, in particular an increase in the minimum host halo mass Mmin. The mass at which a halo has, on average, one satellite galaxy brighter than L is M1 ≈ 17Mmin(L) over most of the luminosity range, with a smaller ratio above L∗. The growth and steepening of wp(rp) for redder galaxies reflects the increasing fraction of galaxies that are satellite systems in high mass halos instead of central systems in low mass halos, a trend that is especially marked at low luminosities. Our exten- sive measurements, provided in tabular form, will allow detailed tests of theoretical models of galaxy formation, a firm grounding of semi-empirical models of the galaxy population, and new constraints on cosmological parameters from combining real-space galaxy clustering with mass-sensitive statistics such as redshift-space distortions, cluster mass-to-light ratios, and galaxy-galaxy lensing. Subject headings: cosmology: observations — cosmology: theory — galaxies: distances and redshifts — galaxies: halos — galaxies: statistics — large-scale structure of universe

806 citations

Journal ArticleDOI
TL;DR: In combination with traditional angiotensin converting enzyme inhibitors, newly identified cytokines may eventually form the basis for new therapeutic strategies aimed at inhibiting the progression of renal disease.
Abstract: The pathologic paradigm for renal progression is advancing tubulointerstitial fibrosis. Whereas mechanisms underlying fibrogenesis have grown in scope and understanding in recent decades, effective human treatment to directly halt or even reverse fibrosis remains elusive. Here, we examine key features mediating the molecular and cellular basis of tubulointerstitial fibrosis and highlight new insights that may lead to novel therapies. How to prevent chronic kidney disease from progressing to renal failure awaits even deeper biochemical understanding.

805 citations

Journal ArticleDOI
TL;DR: In this paper, a structural framework for examining the explosion in commercial activity on the Web is proposed, where the authors examine the factors that have led to the development of the Web as a commercial medium, evaluating the benefits it provides to both consumers and firms and its attractive size and demographic characteristics.
Abstract: The potential of the World Wide Web on the Internet as a commercial medium and market has been widely documented in a variety of media. However, a critical examination of its commercial development has received little attention. Therefore, in this paper we propose a structural framework for examining the explosion in commercial activity on the Web. First, we explore the role of the Web as a distribution channel and a medium for marketing communications. Second, we examine the factors that have led to the development of the Web as a commercial medium, evaluating the benefits it provides to both consumers and firms and its attractive size and demographic characteristics. Third, we discuss the barriers to commercial growth of the Web from both the supply and demand side perspectives. This analysis leads to a new classification of commercialization efforts that categorizes commercial Web sites into six distinct types including 1) Online Storefront, 2) Internet Presence, 3) Content, 4) Mall, 5) Incentive Site, and, 6) Search Agent. The first three comprise the “Integrated Destination Site,” and the latter three represent forms of “Web Traffic Control.” Our framework, argued in the context of integrated marketing, facilitates greater understanding of the Web as a commercial medium, and allows examination of commercial Web sites in terms of the opportunities and challenges firms face in the rush towards commercialization.

805 citations

Journal ArticleDOI
TL;DR: The authors examined firm behavior in response to disclosures of toxic release inventory (TRI) emissions and found that firms with the largest stock price decline on the day this information became public subsequently reduced emissions more than their industry peers, consistent with the view that financial markets may provide strong incentives for firms to change their environmental behavior.

804 citations

Journal ArticleDOI
TL;DR: This paper develops an efficient reliability analysis method that accurately characterizes the limit state throughout the random variable space and is both accurate for any arbitrarily shaped limit state and computationally efficient even for expensive response functions.
Abstract: Many engineering applications are characterized by implicit response functions that are expensive to evaluate and sometimes nonlinear in their behavior, making reliability analysis difficult. This paper develops an efficient reliability analysis method that accurately characterizes the limit state throughout the random variable space. The method begins with a Gaussian process model built from a very small number of samples, and then adaptively chooses where to generate subsequent samples to ensure that the model is accurate in the vicinity of the limit state. The resulting Gaussian process model is then sampled using multimodal adaptive importance sampling to calculate the probability of exceeding (or failing to exceed) the response level of interest. By locating multiple points on or near the limit state, more complex and nonlinear limit states can be modeled, leading to more accurate probability integration. By concentrating the samples in the area where accuracy is important (i.e., in the vicinity of the limit state), only a small number of true function evaluations are required to build a quality surrogate model. The resulting method is both accurate for any arbitrarily shaped limit state and computationally efficient even for expensive response functions. This new method is applied to a collection of example problems including one that analyzes the reliability of a microelectromechanical system device that current available methods have difficulty solving either accurately or efficiently.

804 citations


Authors

Showing all 45403 results

NameH-indexPapersCitations
Walter C. Willett3342399413322
Meir J. Stampfer2771414283776
John Q. Trojanowski2261467213948
Robert M. Califf1961561167961
Matthew Meyerson194553243726
Scott M. Grundy187841231821
Tony Hunter175593124726
David R. Jacobs1651262113892
Donald E. Ingber164610100682
L. Joseph Melton16153197861
Ralph A. DeFronzo160759132993
David W. Bates1591239116698
Charles N. Serhan15872884810
David Cella1561258106402
Jay Hauser1552145132683
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023141
2022540
20215,134
20205,232
20194,883
20184,649