scispace - formally typeset
Search or ask a question
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
More filters
Journal ArticleDOI
TL;DR: In this paper, a combined analysis of the latest neutrino oscillation data presented at the Neutrino2020 conference shows that previous hints for the neutrinos mass ordering have significantly decreased, and normal ordering (NO) is favored only at the 1.6σ level.
Abstract: Our herein described combined analysis of the latest neutrino oscillation data presented at the Neutrino2020 conference shows that previous hints for the neutrino mass ordering have significantly decreased, and normal ordering (NO) is favored only at the 1.6σ level. Combined with the χ2 map provided by Super-Kamiokande for their atmospheric neutrino data analysis the hint for NO is at 2.7σ. The CP conserving value δCP = 180° is within 0.6σ of the global best fit point. Only if we restrict to inverted mass ordering, CP violation is favored at the ∼ 3σ level. We discuss the origin of these results — which are driven by the new data from the T2K and NOvA long-baseline experiments —, and the relevance of the LBL-reactor oscillation frequency complementarity. The previous 2.2σ tension in ∆m221 preferred by KamLAND and solar experiments is also reduced to the 1.1σ level after the inclusion of the latest Super-Kamiokande solar neutrino results. Finally we present updated allowed ranges for the oscillation parameters and for the leptonic Jarlskog determinant from the global analysis.

635 citations

Proceedings ArticleDOI
19 May 2013
TL;DR: The current knowledge about various protection techniques are systematized by setting up a general model for memory corruption attacks, and what policies can stop which attacks are shown, to analyze the reasons why protection mechanisms implementing stricter polices are not deployed.
Abstract: Memory corruption bugs in software written in low-level languages like C or C++ are one of the oldest problems in computer security. The lack of safety in these languages allows attackers to alter the program's behavior or take full control over it by hijacking its control flow. This problem has existed for more than 30 years and a vast number of potential solutions have been proposed, yet memory corruption attacks continue to pose a serious threat. Real world exploits show that all currently deployed protections can be defeated. This paper sheds light on the primary reasons for this by describing attacks that succeed on today's systems. We systematize the current knowledge about various protection techniques by setting up a general model for memory corruption attacks. Using this model we show what policies can stop which attacks. The model identifies weaknesses of currently deployed techniques, as well as other proposed protections enforcing stricter policies. We analyze the reasons why protection mechanisms implementing stricter polices are not deployed. To achieve wide adoption, protection mechanisms must support a multitude of features and must satisfy a host of requirements. Especially important is performance, as experience shows that only solutions whose overhead is in reasonable bounds get deployed. A comparison of different enforceable policies helps designers of new protection mechanisms in finding the balance between effectiveness (security) and efficiency. We identify some open research problems, and provide suggestions on improving the adoption of newer techniques.

635 citations

Journal ArticleDOI
09 Oct 2003-Nature
TL;DR: Experimental evidence showing that partial melting of hydrous basalt in the eclogite facies produces granitoid liquids with major- and trace-element compositions equivalent to Archaean TTG is presented, suggesting that TTG magmatism may have taken place beneath granite-greenstone complexes developing along Archaean intraoceanic island arcs by imbricate thrust-stacking and tectonic accretion of a diversity of subduction-related terranes.
Abstract: The tectonic setting in which the first continental crust formed, and the extent to which modern processes of arc magmatism at convergent plate margins were operative on the early Earth, are matters of debate1,2. Geochemical studies have shown that felsic rocks in both Archaean high-grade metamorphic (‘grey gneiss’) and low-grade granite-greenstone terranes are comprised dominantly of sodium-rich granitoids of the tonalite-trondhjemite-granodiorite (TTG) suite of rocks3,4,5,6,7. Here we present direct experimental evidence showing that partial melting of hydrous basalt in the eclogite facies produces granitoid liquids with major- and trace-element compositions equivalent to Archaean TTG, including the low Nb/Ta and high Zr/Sm ratios of ‘average’ Archaean TTG8, but from a source with initially subchondritic Nb/Ta. In modern environments, basalts with low Nb/Ta form by partial melting of subduction-modified depleted mantle9,10, notably in intraoceanic arc settings in the forearc11,12 and back-arc13,14 regimes. These observations suggest that TTG magmatism may have taken place beneath granite-greenstone complexes developing along Archaean intraoceanic island arcs by imbricate thrust-stacking15 and tectonic accretion16 of a diversity of subduction-related terranes. Partial melting accompanying dehydration of these generally basaltic source materials at the base of thickened, ‘arc-like’ crust would produce compositionally appropriate TTG granitoids in equilibrium with eclogite residues.

635 citations

Journal ArticleDOI
TL;DR: Electrospinning is used to fabricate biodegradable non-woven poly(lactide)- and poly(glycolide)-based scaffolds for cardiac tissue engineering applications and concludes that engineered cardiac tissue structure and function can be modulated by the chemistry and geometry of the provided nano- and micro-textured surfaces.

632 citations

Journal ArticleDOI
TL;DR: Time spent and self-disclosure with outgroup friends yielded significantly greater associations with attitudes than other friendship measures, suggesting that attitudes are most likely to improve when cross-group friendships involve behavioral engagement.
Abstract: This work identifies how cross-group friendships are conceptualized and measured in intergroup research, investigates which operationalizations yield the strongest effects on intergroup attitudes, explores potential moderators, and discusses the theoretical importance of the findings. Prior meta-analyses have provided initial evidence that cross-group friendships are especially powerful forms of intergroup contact. Although studies of cross-group friendship have grown considerably in recent years, varied assessments leave us without a clear understanding of how different operationalizations affect relationships between friendship and attitudes. With a greatly expanded database of relevant studies, the authors compared friendship-attitude associations across a wide range of specific conceptualizations. Time spent and self-disclosure with outgroup friends yielded significantly greater associations with attitudes than other friendship measures, suggesting that attitudes are most likely to improve when cross-group friendships involve behavioral engagement. Processes underlying cross-group friendships are discussed, as are implications for future research and application.

632 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
Network Information
Related Institutions (5)
University of Washington
305.5K papers, 17.7M citations

97% related

Stanford University
320.3K papers, 21.8M citations

96% related

Columbia University
224K papers, 12.8M citations

96% related

University of California, Los Angeles
282.4K papers, 15.7M citations

96% related

University of Pennsylvania
257.6K papers, 14.1M citations

95% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023124
2022453
20213,609
20203,747
20193,426
20183,127