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Institution

Rutgers University

EducationNew Brunswick, New Jersey, United States
About: Rutgers University is a education organization based out in New Brunswick, New Jersey, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 68736 authors who have published 159418 publications receiving 6713860 citations. The organization is also known as: Rutgers, The State University of New Jersey & Rutgers.


Papers
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Journal ArticleDOI
TL;DR: AAPM Task Group 119 has produced quantitative confidence limits as baseline expectation values for IMRT commissioning and locally derived confidence limits that substantially exceed these baseline values may indicate the need for improved IM RT commissioning.
Abstract: AAPM Task Group 119 has produced quantitative confidence limits as baseline expectation values for IMRT commissioning. A set of test cases was developed to assess the overall accuracy of planning and delivery of IMRT treatments. Each test uses contours of targets and avoidance structures drawn within rectangular phantoms. These tests were planned, delivered, measured, and analyzed by nine facilities using a variety of IMRT planning and delivery systems. Each facility had passed the Radiological Physics Center credentialing tests for IMRT. The agreement between the planned and measured doses was determined using ion chamber dosimetry in high and low dose regions, film dosimetry on coronal planes in the phantom with all fields delivered, and planar dosimetry for each field measured perpendicular to the central axis. The planar dose distributions were assessed using gamma criteria of 3%/3 mm. The mean values and standard deviations were used to develop confidence limits for the test results using the concept confidence limit = /mean/ + 1.96sigma. Other facilities can use the test protocol and results as a basis for comparison to this group. Locally derived confidence limits that substantially exceed these baseline values may indicate the need for improved IMRT commissioning.

854 citations

Journal ArticleDOI
TL;DR: In this article, the authors investigate how critics affect the box office performance of films and how the effects may be moderated by stars and budgets, and they find that both positive and negative reviews are correlated with weekly box office revenue over an eight-week period.
Abstract: The authors investigate how critics affect the box office performance of films and how the effects may be moderated by stars and budgets. The authors examine the process through which critics affect box office revenue, that is, whether they influence the decision of the film going public (their role as influencers), merely predict the decision (their role as predictors), or do both. They find that both positive and negative reviews are correlated with weekly box office revenue over an eight-week period, suggesting that critics play a dual role: They can influence and predict box office revenue. However, the authors find the impact of negative reviews (but not positive reviews) to diminish over time, a pattern that is more consistent with critics’ role as influencers. The authors then compare the positive impact of good reviews with the negative impact of bad reviews to find that film reviews evidence a negativity bias; that is, negative reviews hurt performance more than positive reviews help performance, but only during the first week of a film’s run. Finally, the authors examine two key moderators of critical reviews, stars and budgets, and find that popular stars and big budgets enhance box office revenue for films that receive more negative critical reviews than positive critical reviews but do little for films that receive more positive reviews than negative reviews. Taken together, the findings not only replicate and extend prior research on critical reviews and box office performance but also offer insight into how film studios can strategically manage the review process to enhance box office revenue.

852 citations

Journal ArticleDOI
Patrick J. Keeling1, Patrick J. Keeling2, Fabien Burki2, Heather M. Wilcox3, Bassem Allam4, Eric E. Allen5, Linda A. Amaral-Zettler6, Linda A. Amaral-Zettler7, E. Virginia Armbrust8, John M. Archibald1, John M. Archibald9, Arvind K. Bharti10, Callum J. Bell10, Bank Beszteri11, Kay D. Bidle12, Connor Cameron10, Lisa Campbell13, David A. Caron14, Rose Ann Cattolico8, Jackie L. Collier4, Kathryn J. Coyne15, Simon K. Davy16, Phillipe Deschamps17, Sonya T. Dyhrman18, Bente Edvardsen19, Ruth D. Gates20, Christopher J. Gobler4, Spencer J. Greenwood21, Stephanie Guida10, Jennifer L. Jacobi10, Kjetill S. Jakobsen19, Erick R. James2, Bethany D. Jenkins22, Uwe John11, Matthew D. Johnson23, Andrew R. Juhl18, Anja Kamp24, Anja Kamp25, Laura A. Katz26, Ronald P. Kiene27, Alexander Kudryavtsev28, Alexander Kudryavtsev29, Brian S. Leander2, Senjie Lin30, Connie Lovejoy31, Denis H. Lynn2, Denis H. Lynn32, Adrian Marchetti33, George B. McManus30, Aurora M. Nedelcu34, Susanne Menden-Deuer22, Cristina Miceli35, Thomas Mock36, Marina Montresor37, Mary Ann Moran38, Shauna A. Murray39, Govind Nadathur40, Satoshi Nagai, Peter B. Ngam10, Brian Palenik5, Jan Pawlowski29, Giulio Petroni41, Gwenael Piganeau42, Matthew C. Posewitz43, Karin Rengefors44, Giovanna Romano37, Mary E. Rumpho30, Tatiana A. Rynearson22, Kelly B. Schilling10, Declan C. Schroeder, Alastair G. B. Simpson1, Alastair G. B. Simpson9, Claudio H. Slamovits9, Claudio H. Slamovits1, David Roy Smith45, G. Jason Smith46, Sarah R. Smith5, Heidi M. Sosik23, Peter Stief24, Edward C. Theriot47, Scott N. Twary48, Pooja E. Umale10, Daniel Vaulot49, Boris Wawrik50, Glen L. Wheeler51, William H. Wilson52, Yan Xu53, Adriana Zingone37, Alexandra Z. Worden3, Alexandra Z. Worden1 
Canadian Institute for Advanced Research1, University of British Columbia2, Monterey Bay Aquarium Research Institute3, Stony Brook University4, University of California, San Diego5, Brown University6, Marine Biological Laboratory7, University of Washington8, Dalhousie University9, National Center for Genome Resources10, Alfred Wegener Institute for Polar and Marine Research11, Rutgers University12, Texas A&M University13, University of Southern California14, University of Delaware15, Victoria University of Wellington16, University of Paris-Sud17, Columbia University18, University of Oslo19, University of Hawaii at Manoa20, University of Prince Edward Island21, University of Rhode Island22, Woods Hole Oceanographic Institution23, Max Planck Society24, Jacobs University Bremen25, Smith College26, University of South Alabama27, Saint Petersburg State University28, University of Geneva29, University of Connecticut30, Laval University31, University of Guelph32, University of North Carolina at Chapel Hill33, University of New Brunswick34, University of Camerino35, University of East Anglia36, Stazione Zoologica Anton Dohrn37, University of Georgia38, University of Technology, Sydney39, University of Puerto Rico40, University of Pisa41, Centre national de la recherche scientifique42, Colorado School of Mines43, Lund University44, University of Western Ontario45, California State University46, University of Texas at Austin47, Los Alamos National Laboratory48, Pierre-and-Marie-Curie University49, University of Oklahoma50, Plymouth Marine Laboratory51, Bigelow Laboratory For Ocean Sciences52, Princeton University53
TL;DR: In this paper, the authors describe a resource of 700 transcriptomes from marine microbial eukaryotes to help understand their role in the world's oceans and their biology, evolution, and ecology.
Abstract: Current sampling of genomic sequence data from eukaryotes is relatively poor, biased, and inadequate to address important questions about their biology, evolution, and ecology; this Community Page describes a resource of 700 transcriptomes from marine microbial eukaryotes to help understand their role in the world's oceans.

852 citations

Journal ArticleDOI
TL;DR: It is hypothesized that neocortico-hippocampal transfer of information and the modification process in neocortical circuitries by the hippocampal output take place in a temporally discontinuous manner and might be delayed by minutes, hours, or days.
Abstract: In gross anatomical terms, the hippocampal archicortex can be conceived as an "appendage' of the large neocortex. In contrast to neocortical areas, the main output targets of the hippocampus are the same as its main inputs (i.e., the entorhinal cortex). Highly processed information about the external world (the content) reaches the hippocampus via the entorhinal cortex, whereas information about the "internal world' (the context) is conveyed by the subcortical inputs. Removal of the context makes the content illegible, as demonstrated by the observation that the behavioral impairment following surgical removal of hippocampopetal subcortical inputs is as devastating as removing the hippocampus itself. From its strategic anatomical position and input-output connections, it may be suggested that the main function of the hippocampal formation is to modify its inputs by feeding back a processed "reafferent copy' to the neocortex. I hypothesize that neocortico-hippocampal transfer of information and the modification process in neocortical circuitries by the hippocampal output take place in a temporally discontinuous manner and might be delayed by minutes, hours, or days. Acquisition of information may happen very fast during the activated state of the hippocampus associated with theta/gamma oscillations. Intrahippocampal consolidation and the hippocampal-neocortical transfer of the stored representations, on the other hand, is protracted and carried by discrete quanta of cooperative neuronal bursts during slow wave sleep.

850 citations

Journal ArticleDOI
TL;DR: In this paper, it was shown that configurations of multiple D-branes related by SU(N) rotations will preserve unbroken supersymmetry, including cases in which two Dbranes are related by a rotation of arbitrarily small angle.

849 citations


Authors

Showing all 69437 results

NameH-indexPapersCitations
Salim Yusuf2311439252912
Daniel Levy212933194778
Eugene V. Koonin1991063175111
Eric Boerwinkle1831321170971
David L. Kaplan1771944146082
Derek R. Lovley16858295315
Mark Gerstein168751149578
Gang Chen1673372149819
Hongfang Liu1662356156290
Robert Stone1601756167901
Mark E. Cooper1581463124887
Michael B. Sporn15755994605
Cumrun Vafa15750988515
Wolfgang Wagner1562342123391
David M. Sabatini155413135833
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023274
20221,028
20218,250
20208,150
20197,397
20186,594