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Institution

SRI International

NonprofitMenlo Park, California, United States
About: SRI International is a nonprofit organization based out in Menlo Park, California, United States. It is known for research contribution in the topics: Ionosphere & Laser. The organization has 7222 authors who have published 13102 publications receiving 660724 citations. The organization is also known as: Stanford Research Institute & SRI.


Papers
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Journal ArticleDOI
TL;DR: Compared to Susceptibility-Weighted Imaging, FDRI appears more specific to age-dependent accumulation of non-heme brain iron than SWI, which is affected by heme iron and non-iron source effects on phase.

152 citations

Journal ArticleDOI
TL;DR: Inhalation exposure to styrene, mixed xylene, toluene, and 1,1,2-trichloroethylene resulted in hearing dysfunction only in the mid-frequency range and spared function at lower and higher frequencies, indicating that for those solvents reported thus far to cause hearing loss, the deficit is restricted to mid-frequencies in rats.

152 citations

Proceedings ArticleDOI
09 Jun 2013
TL;DR: Flover, a model checking system which verifies that the aggregate of flow policies instantiated within an OpenFlow network does not violate the network's security policy, is introduced.
Abstract: The OpenFlow (OF) switching specification represents an innovative and open standard for enabling the dynamic programming of flow control policies in production networks. Unfortunately, thus far researchers have paid little attention to the development of methods for verifying that dynamic flow policies inserted within an OpenFlow network do not violate the network's underlying security policy. We introduce Flover, a model checking system which verifies that the aggregate of flow policies instantiated within an OpenFlow network does not violate the network's security policy. We have implemented Flover using the Yices SMT solver, which we then integrated into NOX, a popular OpenFlow network controller. Flover provides NOX a formal validation of the OpenFlow network's security posture.

152 citations

Journal ArticleDOI
TL;DR: Results indicated that the two programs most effective at improving students’ science learning were the ones in which teachers received explicit instruction in models of teaching.
Abstract: This research study examined whether and how professional development can help teachers design sequences of instruction that lead to improved science learning. The efficacy of three professional development programs and a control condition was compared in a cluster randomized trial involving 53 middle school science teachers from a single school district. The four conditions varied along two dimensions: (a) the extent to which the programs guided teachers’ selection of curriculum materials and (b) whether or not teachers received explicit instruction in models of teaching associated with particular methods for designing instruction. Results indicated that the two programs most effective at improving students’ science learning were the ones in which teachers received explicit instruction in models of teaching.

151 citations

Journal ArticleDOI
TL;DR: In this article, the classical trajectory Monte Carlo method has been used to determine product-state distributions in electron-capture collisions at energies 50 and 100 keV/amu for fully stripped ions in charge states.
Abstract: The classical-trajectory Monte Carlo method has been used to determine product-state distributions in ${A}^{q+}+\mathrm{H}\ensuremath{\rightarrow}{A}^{(q\ensuremath{-}1)+}(\mathrm{nl})+{\mathrm{H}}^{+}$ electron-capture collisions at energies 50 and 100 keV/amu for fully stripped ions in charge states $q=1 \mathrm{to} 20$. In the energy region studied, the electron-capture products are found to populate predominately principal quantum numbers around ${n}_{m}\ensuremath{\approx}{q}^{\frac{3}{4}}$. Such behavior implies the captured electron tries to preserve both its original orbital energy and dimensions after the electron-capture collision. The orbital-angular-momentum quantum numbers $l$ are more highly peaked than statistical to large $l$ values for $nl{n}_{m}$, while they are found to maximize around $l\ensuremath{\approx}{q}^{\frac{3}{4}}$ for $ng{n}_{m}$.

151 citations


Authors

Showing all 7245 results

NameH-indexPapersCitations
Rodney S. Ruoff164666194902
Alex Pentland13180998390
Robert L. Byer130103696272
Howard I. Maibach116182160765
Alexander G. G. M. Tielens11572251058
Adolf Pfefferbaum10953040358
Amato J. Giaccia10841949876
Bernard Wood10863038272
Paul Workman10254738095
Thomas Kailath10266158069
Pascal Fua10261449751
Edith V. Sullivan10145534502
Margaret A. Chesney10132633509
Thomas C. Merigan9851433941
Carlos A. Zarate9741732921
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20236
202237
2021178
2020223
2019256
2018218