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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.


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Journal ArticleDOI
Kazuhisa Mitsuda, Mark W. Bautz1, Hajime Inoue, Richard L. Kelley2, Katsuji Koyama3, Hideyo Kunieda4, Kazuo Makishima5, Yoshiaki Ogawara, Robert Petre2, Tadayuk Takahashi, Hiroshi Tsunemi6, Nicholas E. White2, Naohisa Anabuki6, Lorella Angelini2, Keith A. Arnaud2, Hisamitsu Awaki7, Aya Bamba, Kevin R. Boyce2, Gregory V. Brown2, Kai Wing Chan2, Jean Cottam2, Tadayasu Dotani, John P. Doty, Ken Ebisawa, Yuichiro Ezoe, Andrew C. Fabian8, Enectali Figueroa2, Ryuichi Fujimoto, Yasushi Fukazawa9, Tae Furusho, Akihiro Furuzawa4, Keith C. Gendreau2, Richard E. Griffiths10, Yoshito Haba4, Kenji Hamaguchi2, Ilana M. Harrus2, Günther Hasinger11, Isamu Hatsukade12, Kiyoshi Hayashida4, Patrick Henry, Junko S. Hiraga, Stephen S. Holt13, Ann Hornschemeier2, John P. Hughes14, Una Hwang2, Manabu Ishida15, Yoshitaka Ishisaki15, Naoki Isobe, Masayuki Itoh16, Naoko Iyomoto2, Steven M. Kahn17, Tuneyoshi Kamae17, Hideaki Katagiri9, Jun Kataoka18, Haruyoshi Katayama, Nobuyuki Kawai18, Caroline Kllbourne2, Kenzo Kinugasa, Steve Klssel1, Shunji Kitamoto19, Mitsuhiro Kohama, Takayoshi Kohmura20, Motohide Kokubun5, Taro Kotani18, J. Kotoku18, Aya Kubota5, Greg Madejski17, Yoshitomo Maeda, Fumiyoshi Makino, Alex Markowitz2, Chiho Matsumoto4, Hironori Matsumoto3, Masaru Matsuoka, Kyoko Matsushita21, Dan McCammon22, Tatehiko Mihara, Kazutami Misakl11, Emi Miyata6, Tsunefumi Mizuno9, Koji Mori12, Hideyuki Mori3, Mikio Morii, Harvey Moseley2, Koji Mukai2, Hiroshi Murakami, Toshio Murakami23, Richard Mushotzky2, Fumiaki Nagase, M. Namiki6, Hitoshi Negoro24, Kazuhiro Nakazawa, John A. Nousek25, Takashi Okajima2, Yasushi Ogasaka4, Takaya Ohashi15, T. Oshima15, Naomi Ota, Masanobu Ozaki, H. Ozawa6, Arvind Parmar26, W. D. Pence2, F. Scott Porter2, James Reeves2, George R. Ricker1, Ikuya Sakurai4, Wilton T. Sanders, Atsushi Senda, Peter J. Serlemitsos2, Ryo Shibata4, Yang Soong2, Randall K. Smith2, Motoko Suzuki, Andrew Szymkowiak27, Hiromitsu Takahashi9, Toru Tamagawa, Keisuke Tamura4, Takayuki Tamura, Yasuo Tanaka11, Makoto Tashiro28, Yuzuru Tawara4, Yukikatsu Terada, Yuichi Terashima, Hiroshi Tomida, Ken'ichi Torii6, Yohko Tsuboi29, Masahiro Tsujimoto19, Takeshi Go Tsuru3, Martin J. L. Turner30, Yoshihiro Ueda3, Shiro Ueno, M. Ueno18, Shin'ichiro Uno31, Yuji Urata28, Shin Watanabe, Norimasa Yamamoto4, Kazutaka Yamaoka32, Noriko Y. Yamasaki, Koujun Yamashita4, Makoto Yamauchi12, Shigeo Yamauchi33, Tahir Yaqoob2, Daisuke Yonetoku23, Atsumasa Yoshida32 
TL;DR: In this paper, the authors summarized the spacecraft, in-orbit performance, operations, and data processing that are related to observations of the Suzaku X-ray observatory, including high-sensitivity wide-band Xray spectroscopy.
Abstract: High-sensitivity wide-band X-ray spectroscopy is the key feature of the Suzaku X-ray observatory, launched on 2005 July 10. This paper summarizes the spacecraft, in-orbit performance, operations, and data processing that are related to observations. The scientific instruments, the high-throughput X-ray telescopes, X-ray CCD cameras, non-imaging hard X-ray detector are also described.

908 citations

Journal ArticleDOI
TL;DR: The paper discusses arguments from computer vision and psychology showing that vision is "intelligent" and involves elements of "problem solving" and examines a number of examples where instructions and "hints" are alleged to affect what is seen.
Abstract: Although the study of visual perception has made more progress in the past 40 years than any other area of cognitive science, there remain major disagreements as to how closely vision is tied to cognition. This target article sets out some of the arguments for both sides (arguments from computer vision, neuroscience, psychophysics, perceptual learning, and other areas of vision science) and defends the position that an important part of visual perception, corresponding to what some people have called early vision, is prohibited from accessing relevant expectations, knowledge, and utilities in determining the function it computes - in other words, it is cognitively im- penetrable. That part of vision is complex and involves top-down interactions that are internal to the early vision system. Its function is to provide a structured representation of the 3-D surfaces of objects sufficient to serve as an index into memory, with somewhat differ- ent outputs being made available to other systems such as those dealing with motor control. The paper also addresses certain concep- tual and methodological issues raised by this claim, such as whether signal detection theory and event-related potentials can be used to assess cognitive penetration of vision. A distinction is made among several stages in visual processing, including, in addition to the inflexible early-vision stage, a pre-per- ceptual attention-allocation stage and a post-perceptual evaluation, selection, and inference stage, which accesses long-term memory. These two stages provide the primary ways in which cognition can affect the outcome of visual perception. The paper discusses argu- ments from computer vision and psychology showing that vision is "intelligent" and involves elements of "problem solving." The cases of apparently intelligent interpretation sometimes cited in support of this claim do not show cognitive penetration; rather, they show that certain natural constraints on interpretation, concerned primarily with optical and geometrical properties of the world, have been com- piled into the visual system. The paper also examines a number of examples where instructions and "hints" are alleged to affect what is seen. In each case it is concluded that the evidence is more readily assimilated to the view that when cognitive effects are found, they have a locus outside early vision, in such processes as the allocation of focal attention and the identification of the stimulus.

907 citations

Journal ArticleDOI
01 Sep 1998-Voluntas
TL;DR: In this paper, the authors test five existing theories of the nonprofit sector against data assembled on eight countries as part of the Johns Hopkins Comparative Nonprofit Sector Project and find none of these theories adequate to explain the variations among countries in either the size, the composition, or the financing of the non-profit sector.
Abstract: Recent research has usefully documented the contribution that nonprofit organizations make to “social capital” and to the economic and political development it seems to foster. Because of a gross lack of basic comparative data, however, the question of what it is that allows such organizations to develop remains far from settled. This article seeks to remedy this by testing five existing theories of the nonprofit sector against data assembled on eight countries as part of the Johns Hopkins Comparative Nonprofit Sector Project. The five theories are: (a) government failure/market failure theory; (b) supply-side theory; (c) trust theories; (d) welfare state theory; and (e) interdependence theory. The article finds none of these theories adequate to explain the variations among countries in either the size, the composition, or the financing of the nonprofit sector. On this basis it suggests a new theoretical approach to explaining patterns of nonprofit development among countries—the “social origins” approach—which focuses on broader social, political, and economic relationships. Using this theory, the article identifies four “routes” of third-sector development (the liberal, the social democratic, the corporatist, and the statist), each associated with a particular constellation of class relationships and pattern of state-society relations. The article then tests this theory against the eight-country data and finds that it helps make sense of anomalies left unexplained by the prevailing theories.

906 citations

Journal ArticleDOI
TL;DR: This paper reviews studies that investigate the effects of plants on metals in wetlands and suggests that metals in litter are available to deposit feeders and, thus, can enter estuarine food webs.

905 citations

Journal ArticleDOI
TL;DR: The findings provide a solid foundation for continued examination of resting state fcMRI in typical and atypical populations, and short- and long-term measures of the consistency of global connectivity patterns were highly robust.
Abstract: Recent years have witnessed an upsurge in the usage of resting-state functional magnetic resonance imaging (fMRI) to examine functional connectivity (fcMRI), both in normal and pathological populations. Despite this increasing popularity, concerns about the psychologically unconstrained nature of the “resting-state” remain. Across studies, the patterns of functional connectivity detected are remarkably consistent. However, the test–retest reliability for measures of resting state fcMRI measures has not been determined. Here, we quantify the test–retest reliability, using resting scans from 26 participants at 3 different time points. Specifically, we assessed intersession (>5 months apart), intrasession ( nonsignificant), 2) correlation valence (positive > negative), and 3) network membership (default mode > task positive network). Short- and long-term measures of the consistency of global connectivity patterns were highly robust. Finally, hierarchical clustering solutions were highly reproducible, both across participants and sessions. Our findings provide a solid foundation for continued examination of resting state fcMRI in typical and atypical populations.

905 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