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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, Cancer, Gene, Health care


Papers
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Journal ArticleDOI
30 Jan 1981-Science
TL;DR: The psychological principles that govern the perception of decision problems and the evaluation of probabilities and outcomes produce predictable shifts of preference when the same problem is framed in different ways.
Abstract: The psychological principles that govern the perception of decision problems and the evaluation of probabilities and outcomes produce predictable shifts of preference when the same problem is framed in different ways. Reversals of preference are demonstrated in choices regarding monetary outcomes, both hypothetical and real, and in questions pertaining to the loss of human lives. The effects of frames on preferences are compared to the effects of perspectives on perceptual appearance. The dependence of preferences on the formulation of decision problems is a significant concern for the theory of rational choice.

15,513 citations

Journal ArticleDOI
TL;DR: This paper suggests ways to solve currently open problems in cryptography, and discusses how the theories of communication and computation are beginning to provide the tools to solve cryptographic problems of long standing.
Abstract: Two kinds of contemporary developments in cryptography are examined. Widening applications of teleprocessing have given rise to a need for new types of cryptographic systems, which minimize the need for secure key distribution channels and supply the equivalent of a written signature. This paper suggests ways to solve these currently open problems. It also discusses how the theories of communication and computation are beginning to provide the tools to solve cryptographic problems of long standing.

14,980 citations

Journal ArticleDOI
TL;DR: The centrality of the self-efficacy mechanism in human agency is discussed in this paper, where the influential role of perceived collective effi- cacy in social change is analyzed, as are the social con- ditions conducive to development of collective inefficacy.
Abstract: This article addresses the centrality of the self-efficacy mechanism in human agency. Self-per- cepts of efficacy influence thought patterns, actions, and emotional arousal. In causal tests the higher the level of induced self-efficacy, the higher the perfor- mance accomplishments and the lower the emotional arousal. Different lines of research are reviewed, show- ing that the self-efficacy mechanism may have wide explanatory power. Perceived self-efficacy helps to ac- count for such diverse phenomena as changes in coping behavior produced by different modes of influence, level of physiological stress reactions, self-regulation of refractory behavior, resignation and despondency to failure experiences, self-debilitating effects of proxy control and illusory inefficaciousness, achievement strivings, growth of intrinsic interest, and career pur- suits. The influential role of perceived collective effi- cacy in social change is analyzed, as are the social con- ditions conducive to development of collective inefficacy. Psychological theorizing and research tend to cen- ter on issues concerning either acquisition of knowledge or execution of response patterns. As a result the processes governing the interrelation- ship between knowledge and action have been largely neglected (Newell, 1978). Some of the re- cent efforts to bridge this gap have been directed at the biomechanics problem—how efferent com- mands of action plans guide the production of ap- propriate response patterns (Stelmach, 1976,1978). Others have approached the matter in terms of algorithmic knowledge, which furnishes guides for executing action sequences (Greeno, 1973; Newell, 1973). ,

14,898 citations

Journal ArticleDOI
17 Aug 2000-Nature
TL;DR: Variation in gene expression patterns in a set of 65 surgical specimens of human breast tumours from 42 different individuals were characterized using complementary DNA microarrays representing 8,102 human genes, providing a distinctive molecular portrait of each tumour.
Abstract: Human breast tumours are diverse in their natural history and in their responsiveness to treatments. Variation in transcriptional programs accounts for much of the biological diversity of human cells and tumours. In each cell, signal transduction and regulatory systems transduce information from the cell's identity to its environmental status, thereby controlling the level of expression of every gene in the genome. Here we have characterized variation in gene expression patterns in a set of 65 surgical specimens of human breast tumours from 42 different individuals, using complementary DNA microarrays representing 8,102 human genes. These patterns provided a distinctive molecular portrait of each tumour. Twenty of the tumours were sampled twice, before and after a 16-week course of doxorubicin chemotherapy, and two tumours were paired with a lymph node metastasis from the same patient. Gene expression patterns in two tumour samples from the same individual were almost always more similar to each other than either was to any other sample. Sets of co-expressed genes were identified for which variation in messenger RNA levels could be related to specific features of physiological variation. The tumours could be classified into subtypes distinguished by pervasive differences in their gene expression patterns.

14,768 citations

Journal ArticleDOI
01 Apr 1998
TL;DR: This paper provides an in-depth description of Google, a prototype of a large-scale search engine which makes heavy use of the structure present in hypertext and looks at the problem of how to effectively deal with uncontrolled hypertext collections where anyone can publish anything they want.
Abstract: In this paper, we present Google, a prototype of a large-scale search engine which makes heavy use of the structure present in hypertext. Google is designed to crawl and index the Web efficiently and produce much more satisfying search results than existing systems. The prototype with a full text and hyperlink database of at least 24 million pages is available at http://google.stanford.edu/. To engineer a search engine is a challenging task. Search engines index tens to hundreds of millions of web pages involving a comparable number of distinct terms. They answer tens of millions of queries every day. Despite the importance of large-scale search engines on the web, very little academic research has been done on them. Furthermore, due to rapid advance in technology and web proliferation, creating a web search engine today is very different from three years ago. This paper provides an in-depth description of our large-scale web search engine -- the first such detailed public description we know of to date. Apart from the problems of scaling traditional search techniques to data of this magnitude, there are new technical challenges involved with using the additional information present in hypertext to produce better search results. This paper addresses this question of how to build a practical large-scale system which can exploit the additional information present in hypertext. Also we look at the problem of how to effectively deal with uncontrolled hypertext collections where anyone can publish anything they want.

14,696 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
202117,862
202018,235
201916,190
201814,684