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Institution

Stony Brook University

EducationStony Brook, New York, United States
About: Stony Brook University is a education organization based out in Stony Brook, New York, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 32534 authors who have published 68218 publications receiving 3035131 citations. The organization is also known as: State University of New York at Stony Brook & SUNY Stony Brook.


Papers
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Journal ArticleDOI
TL;DR: It was found that a small amount of ceramide significantly stabilized domain/raft formation and the molecular basis for, and the implications of, the effects of different sterols and sphingolipids on the behavior and biological function of rafts are discussed.

522 citations

Journal ArticleDOI
Y. Ashie1, J. Hosaka1, K. Ishihara1, Yoshitaka Itow1, J. Kameda1, Yusuke Koshio1, A. Minamino1, C. Mitsuda1, M. Miura1, Shigetaka Moriyama1, Masayuki Nakahata1, Toshio Namba1, R. Nambu1, Y. Obayashi1, Masato Shiozawa1, Yasunari Suzuki1, Y. Takeuchi1, K. Taki1, Shinya Yamada1, Masaki Ishitsuka1, Takaaki Kajita1, K. Kaneyuki1, Shoei Nakayama1, A. Okada1, Ko Okumura1, T. Ooyabu1, C. Saji1, Y. Takenaga1, Shantanu Desai2, E. Kearns2, S. Likhoded2, J. L. Stone2, L. R. Sulak2, C. W. Walter2, W. Wang2, M. Goldhaber3, David William Casper4, J. P. Cravens4, W. Gajewski4, W. R. Kropp4, D. W. Liu4, S. Mine4, Michael B. Smy4, H. W. Sobel4, C. W. Sterner4, Mark R. Vagins4, K. S. Ganezer5, John Hill5, W. E. Keig5, J. S. Jang6, J. Y. Kim6, I. T. Lim6, R. W. Ellsworth7, S. Tasaka8, G. Guillian, A. Kibayashi, John G. Learned, S. Matsuno, D. Takemori, M. D. Messier9, Y. Hayato, A. K. Ichikawa, T. Ishida, T. Ishii, T. Iwashita, T. Kobayashi, Tomoyuki Maruyama, K. Nakamura, K. Nitta, Yuichi Oyama, Makoto Sakuda, Y. Totsuka, Atsumu Suzuki10, Masaya Hasegawa11, K. Hayashi11, T. Inagaki11, I. Kato11, H. Maesaka11, Taichi Morita11, Tsuyoshi Nakaya11, K. Nishikawa11, T. Sasaki11, S. Ueda11, Shoji Yamamoto11, Todd Haines12, Todd Haines4, S. Dazeley13, S. Hatakeyama13, R. Svoboda13, E. Blaufuss14, J. A. Goodman14, G. W. Sullivan14, D. Turcan14, Kate Scholberg15, Alec Habig16, Y. Fukuda17, C. K. Jung18, T. Kato18, Katsuhiro Kobayashi18, Magdalena Malek18, C. Mauger18, C. McGrew18, A. Sarrat18, E. Sharkey18, C. Yanagisawa18, T. Toshito19, Kazumasa Miyano20, N. Tamura20, J. Ishii21, Y. Kuno21, Y. Nagashima21, M. Takita21, Minoru Yoshida21, S. B. Kim22, J. Yoo22, H. Okazawa, T. Ishizuka23, Y. Choi24, H. Seo24, Y. Gando25, Takehisa Hasegawa25, Kunio Inoue25, J. Shirai25, A. Suzuki25, Masatoshi Koshiba1, Y. Nakajima26, Kyoshi Nishijima26, T. Harada27, Hirokazu Ishino27, R. Nishimura27, Y. Watanabe27, D. Kielczewska28, D. Kielczewska4, J. Zalipska28, H. G. Berns29, R. Gran29, K. K. Shiraishi29, A. L. Stachyra29, K. Washburn29, R. J. Wilkes29 
TL;DR: A dip in the L/E distribution was observed in the data, as predicted from the sinusoidal flavor transition probability of neutrino oscillation, which constrained nu(micro)<-->nu(tau) neutrinos oscillation parameters.
Abstract: Muon neutrino disappearance probability as a function of neutrino flight length $L$ over neutrino energy $E$ was studied. A dip in the $L/E$ distribution was observed in the data, as predicted from the sinusoidal flavor transition probability of neutrino oscillation. The observed $L/E$ distribution constrained ${\ensuremath{ u}}_{\ensuremath{\mu}}\ensuremath{\leftrightarrow}{\ensuremath{ u}}_{\ensuremath{\tau}}$ neutrino oscillation parameters; $1.9\ifmmode\times\else\texttimes\fi{}{10}^{\ensuremath{-}3}l\ensuremath{\Delta}{m}^{2}l3.0\ifmmode\times\else\texttimes\fi{}{10}^{\ensuremath{-}3}\text{ }\text{ }{\mathrm{e}\mathrm{V}}^{2}$ and ${sin }^{2}2\ensuremath{\theta}g0.90$ at 90% confidence level.

522 citations

Journal ArticleDOI
TL;DR: In this paper, the authors derived the diffusion coefficient of the heavy quark as the temporal variation of a Wilson line along the Schwinger-Keldysh contour in strongly coupled Yang-Mills theory by studying the fluctuations of a string in the Kruskal plane.
Abstract: We express the heavy quark diffusion coefficient as the temporal variation of a Wilson line along the Schwinger-Keldysh contour. This generalizes the classical formula for diffusion as a force-force correlator to a non-Abelian theory. We use this formula to compute the diffusion coefficient in strongly coupled $\mathcal{N}=4$ Yang-Mills theory by studying the fluctuations of a string in ${\mathrm{AdS}}_{5}\ifmmode\times\else\texttimes\fi{}{S}_{5}$. The string solution spans the full Kruskal plane and gives access to contour correlations. The diffusion coefficient is $D=2/\sqrt{\ensuremath{\lambda}}\ensuremath{\pi}T$ and is therefore parametrically smaller than momentum diffusion, $\ensuremath{\eta}/(e+p)=1/4\ensuremath{\pi}T$. The quark mass must be much greater than $T\sqrt{\ensuremath{\lambda}}$ in order to treat the quark as a heavy quasiparticle. The result is discussed in the context of the Relativistic Heavy Ion Collider (RHIC) experiments.

522 citations

Journal ArticleDOI
TL;DR: An evolutionarily conserved shorter splice variant of PLD1 lacking 38 amino acids is identified that arises from regulated splicing of an alternate exon, suggesting that these three classes of regulators interact with different sites on the enzyme.

520 citations

Journal ArticleDOI
TL;DR: Unemployment rates in the United States remain near a 25-year high and global unemployment is rising, and public health initiatives could target unemployed persons for more aggressive cardiovascular screening and interventions aimed at reducing risk-taking behaviors.

520 citations


Authors

Showing all 32829 results

NameH-indexPapersCitations
Zhong Lin Wang2452529259003
Dennis W. Dickson1911243148488
Hyun-Chul Kim1764076183227
David Baker1731226109377
J. N. Butler1722525175561
Roderick T. Bronson169679107702
Nora D. Volkow165958107463
Jovan Milosevic1521433106802
Thomas E. Starzl150162591704
Paolo Boffetta148145593876
Jacques Banchereau14363499261
Larry R. Squire14347285306
John D. E. Gabrieli14248068254
Alexander Milov142114393374
Meenakshi Narain1421805147741
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023124
2022453
20213,609
20203,747
20193,426
20183,127