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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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Proceedings ArticleDOI
03 Nov 2004
TL;DR: The FTSP achieves its robustness by utilizing periodic flooding of synchronization messages, and implicit dynamic topology update and comprehensive error compensation including clock skew estimation, which is markedly better than that of the existing RBS and TPSN algorithms.
Abstract: Wireless sensor network applications, similarly to other distributed systems, often require a scalable time synchronization service enabling data consistency and coordination. This paper describes the Flooding Time Synchronization Protocol (FTSP), especially tailored for applications requiring stringent precision on resource limited wireless platforms. The proposed time synchronization protocol uses low communication bandwidth and it is robust against node and link failures. The FTSP achieves its robustness by utilizing periodic flooding of synchronization messages, and implicit dynamic topology update. The unique high precision performance is reached by utilizing MAC-layer time-stamping and comprehensive error compensation including clock skew estimation. The sources of delays and uncertainties in message transmission are analyzed in detail and techniques are presented to mitigate their effects. The FTSP was implemented on the Berkeley Mica2 platform and evaluated in a 60-node, multi-hop setup. The average per-hop synchronization error was in the one microsecond range, which is markedly better than that of the existing RBS and TPSN algorithms.

2,267 citations

Journal ArticleDOI
TL;DR: SDSS-III as mentioned in this paper is a program of four spectroscopic surveys on three scientific themes: dark energy and cosmological parameters, the history and structure of the Milky Way, and the population of giant planets around other stars.
Abstract: Building on the legacy of the Sloan Digital Sky Survey (SDSS-I and II), SDSS-III is a program of four spectroscopic surveys on three scientific themes: dark energy and cosmological parameters, the history and structure of the Milky Way, and the population of giant planets around other stars. In keeping with SDSS tradition, SDSS-III will provide regular public releases of all its data, beginning with SDSS DR8 (which occurred in Jan 2011). This paper presents an overview of the four SDSS-III surveys. BOSS will measure redshifts of 1.5 million massive galaxies and Lya forest spectra of 150,000 quasars, using the BAO feature of large scale structure to obtain percent-level determinations of the distance scale and Hubble expansion rate at z 100 per resolution element), H-band (1.51-1.70 micron) spectra of 10^5 evolved, late-type stars, measuring separate abundances for ~15 elements per star and creating the first high-precision spectroscopic survey of all Galactic stellar populations (bulge, bar, disks, halo) with a uniform set of stellar tracers and spectral diagnostics. MARVELS will monitor radial velocities of more than 8000 FGK stars with the sensitivity and cadence (10-40 m/s, ~24 visits per star) needed to detect giant planets with periods up to two years, providing an unprecedented data set for understanding the formation and dynamical evolution of giant planet systems. (Abridged)

2,265 citations

Journal ArticleDOI
TL;DR: In this article, a mathematical framework for assessing the value of customer satisfaction is proposed, which enables managers to determine which customer satisfaction elements have the greatest impact, and how much money should be spent to improve particular satisfaction elements.

2,261 citations

Journal ArticleDOI
Silvia De Rubeis1, Xin-Xin He2, Arthur P. Goldberg1, Christopher S. Poultney1, Kaitlin E. Samocha3, A. Ercument Cicek2, Yan Kou1, Li Liu2, Menachem Fromer3, Menachem Fromer1, R. Susan Walker4, Tarjinder Singh5, Lambertus Klei6, Jack A. Kosmicki3, Shih-Chen Fu1, Branko Aleksic7, Monica Biscaldi8, Patrick Bolton9, Jessica M. Brownfeld1, Jinlu Cai1, Nicholas G. Campbell10, Angel Carracedo11, Angel Carracedo12, Maria H. Chahrour3, Andreas G. Chiocchetti, Hilary Coon13, Emily L. Crawford10, Lucy Crooks5, Sarah Curran9, Geraldine Dawson14, Eftichia Duketis, Bridget A. Fernandez15, Louise Gallagher16, Evan T. Geller17, Stephen J. Guter18, R. Sean Hill3, R. Sean Hill19, Iuliana Ionita-Laza20, Patricia Jiménez González, Helena Kilpinen, Sabine M. Klauck21, Alexander Kolevzon1, Irene Lee22, Jing Lei2, Terho Lehtimäki, Chiao-Feng Lin17, Avi Ma'ayan1, Christian R. Marshall4, Alison L. McInnes23, Benjamin M. Neale24, Michael John Owen25, Norio Ozaki7, Mara Parellada26, Jeremy R. Parr27, Shaun Purcell1, Kaija Puura, Deepthi Rajagopalan4, Karola Rehnström5, Abraham Reichenberg1, Aniko Sabo28, Michael Sachse, Stephen Sanders29, Chad M. Schafer2, Martin Schulte-Rüther30, David Skuse31, David Skuse22, Christine Stevens24, Peter Szatmari32, Kristiina Tammimies4, Otto Valladares17, Annette Voran33, Li-San Wang17, Lauren A. Weiss29, A. Jeremy Willsey29, Timothy W. Yu3, Timothy W. Yu19, Ryan K. C. Yuen4, Edwin H. Cook18, Christine M. Freitag, Michael Gill16, Christina M. Hultman34, Thomas Lehner35, Aarno Palotie36, Aarno Palotie3, Aarno Palotie24, Gerard D. Schellenberg17, Pamela Sklar1, Matthew W. State29, James S. Sutcliffe10, Christopher A. Walsh19, Christopher A. Walsh3, Stephen W. Scherer4, Michael E. Zwick37, Jeffrey C. Barrett5, David J. Cutler37, Kathryn Roeder2, Bernie Devlin6, Mark J. Daly3, Mark J. Daly24, Joseph D. Buxbaum1 
13 Nov 2014-Nature
TL;DR: Using exome sequencing, it is shown that analysis of rare coding variation in 3,871 autism cases and 9,937 ancestry-matched or parental controls implicates 22 autosomal genes at a false discovery rate of < 0.05, plus a set of 107 genes strongly enriched for those likely to affect risk (FDR < 0.30).
Abstract: The genetic architecture of autism spectrum disorder involves the interplay of common and rare variants and their impact on hundreds of genes. Using exome sequencing, here we show that analysis of rare coding variation in 3,871 autism cases and 9,937 ancestry-matched or parental controls implicates 22 autosomal genes at a false discovery rate (FDR) < 0.05, plus a set of 107 autosomal genes strongly enriched for those likely to affect risk (FDR < 0.30). These 107 genes, which show unusual evolutionary constraint against mutations, incur de novo loss-of-function mutations in over 5% of autistic subjects. Many of the genes implicated encode proteins for synaptic formation, transcriptional regulation and chromatin-remodelling pathways. These include voltage-gated ion channels regulating the propagation of action potentials, pacemaking and excitability-transcription coupling, as well as histone-modifying enzymes and chromatin remodellers-most prominently those that mediate post-translational lysine methylation/demethylation modifications of histones.

2,228 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