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Institution

Stanford University

EducationStanford, California, United States
About: Stanford University is a education organization based out in Stanford, California, United States. It is known for research contribution in the topics: Population & Transplantation. The organization has 125751 authors who have published 320347 publications receiving 21892059 citations. The organization is also known as: Leland Stanford Junior University & University of Stanford.
Topics: Population, Transplantation, Medicine, Cancer, Gene


Papers
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TL;DR: This paper proposed Instructional manipulation check (IMC), a new tool for detecting participants who are not following instructions and demonstrated how the inclusion of an IMC can increase statistical power and reliability of a dataset.
Abstract: Participants are not always as diligent in reading and following instructions as experimenters would like them to be. When participants fail to follow instructions, this increases noise and decreases the validity of their data. This paper presents and validates a new tool for detecting participants who are not following instructions – the Instructional manipulation check (IMC). We demonstrate how the inclusion of an IMC can increase statistical power and reliability of a dataset.

2,220 citations

Journal ArticleDOI
TL;DR: In this paper, a sharp bound on the rate of growth of chaos in thermal quantum systems with a large number of degrees of freedom is given, based on plausible physical assumptions, establishing this conjecture.
Abstract: We conjecture a sharp bound on the rate of growth of chaos in thermal quantum systems with a large number of degrees of freedom. Chaos can be diagnosed using an out-of-time-order correlation function closely related to the commutator of operators separated in time. We conjecture that the influence of chaos on this correlator can develop no faster than exponentially, with Lyapunov exponent λ L ≤ 2πk B T/ℏ. We give a precise mathematical argument, based on plausible physical assumptions, establishing this conjecture.

2,216 citations

Journal ArticleDOI
TL;DR: In this paper, an efficient primal-dual interior-point method for solving second-order cone programs (SOCP) is presented. But it is not a generalization of interior point methods for convex problems.

2,215 citations

Journal ArticleDOI
TL;DR: It is recommended that laboratories performing clinical sequencing seek and report mutations of the specified classes or types in the genes listed here and encourage the creation of an ongoing process for updating these recommendations at least annually as further data are collected.

2,215 citations

Journal ArticleDOI
28 Jul 2014
TL;DR: This paper proposes P4 as a strawman proposal for how OpenFlow should evolve in the future, and describes how to use P4 to configure a switch to add a new hierarchical label.
Abstract: P4 is a high-level language for programming protocol-independent packet processors. P4 works in conjunction with SDN control protocols like OpenFlow. In its current form, OpenFlow explicitly specifies protocol headers on which it operates. This set has grown from 12 to 41 fields in a few years, increasing the complexity of the specification while still not providing the flexibility to add new headers. In this paper we propose P4 as a strawman proposal for how OpenFlow should evolve in the future. We have three goals: (1) Reconfigurability in the field: Programmers should be able to change the way switches process packets once they are deployed. (2) Protocol independence: Switches should not be tied to any specific network protocols. (3) Target independence: Programmers should be able to describe packet-processing functionality independently of the specifics of the underlying hardware. As an example, we describe how to use P4 to configure a switch to add a new hierarchical label.

2,214 citations


Authors

Showing all 127468 results

NameH-indexPapersCitations
Eric S. Lander301826525976
George M. Whitesides2401739269833
Yi Cui2201015199725
Yi Chen2174342293080
David Miller2032573204840
David Baltimore203876162955
Edward Witten202602204199
Irving L. Weissman2011141172504
Hongjie Dai197570182579
Robert M. Califf1961561167961
Frank E. Speizer193636135891
Thomas C. Südhof191653118007
Gad Getz189520247560
Mark Hallett1861170123741
John P. A. Ioannidis1851311193612
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023504
20222,786
202117,867
202018,236
201916,190
201814,684