scispace - formally typeset
Search or ask a question
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
More filters
Journal ArticleDOI
01 Mar 1999-Stroke
TL;DR: Midlife BP measures are significantly associated with later-life brain and WMHI volumes and the prevalence of symptomatic vascular disease, and extensive WMHI may be a subclinical expression of cerebrovascular disease.
Abstract: Background and Purpose—Cross-sectional studies show that cerebrovascular risk factors are associated with increased brain atrophy, accumulation of abnormal cerebral white matter signals, and clinically silent stroke We extend these findings by examining the relationship between midlife cerebrovascular risk factors and later-life differences in brain atrophy, amount of abnormal white matter, and stroke on MRI Methods—Subjects were the 414 surviving members of the prospective National Heart, Lung, and Blood Institute Twin Study, who have been examined on 4 separate occasions, spanning the 25 years between 1969–1973 and 1995–1997 Quantitative measures of brain volume, volume of abnormal white matter signal (WMHI), and volume of stroke, when present, were obtained from those participating in the fourth examination Results—The mean±SD age of the subjects was 472±30 years at initial examination and 725±29 years at final examination Average blood pressure (BP) levels were normal, although 32% of the sub

224 citations

Patent
04 Apr 2008
TL;DR: In this article, the authors present a method and apparatus for generating highly predictive blacklists of network addresses for a user of a network including collecting security log data from users of the network, identifying observed attacks by attack sources, assigning the attack sources to the blacklist based on a combination of the relevance each attack source to the user and the maliciousness of the attack source, and outputting the blacklist.
Abstract: In one embodiment, the present invention is a method and apparatus for generating highly predictive blacklists. One embodiment of a method for generating a blacklist of network addresses for a user of a network includes collecting security log data from users of the network, the security log data identifying observed attacks by attack sources, assigning the attack sources to the blacklist based on a combination of the relevance each attack source to the user and the maliciousness of the attack source, and outputting the blacklist.

223 citations

Journal Article
TL;DR: The EMERALD mission impact Intrusion Report Correlation System (M-Correlator) as mentioned in this paper is a mission impact-based approach to the analysis of security alerts produced by spatially distributed heterogeneous information security (INFOSEC) devices such as firewalls, intrusion detection systems, authentication services, and antivirus software.
Abstract: We describe a mission-impact-based approach to the analysis of security alerts produced by spatially distributed heterogeneous information security (INFOSEC) devices, such as firewalls, intrusion detection systems, authentication services, and antivirus software. The intent of this work is to deliver an automated capability to reduce the time and cost of managing multiple INFOSEC devices through a strategy of topology analysis, alert prioritization, and common attribute-based alert aggregation. Our efforts to date have led to the development of a prototype system called the EMERALD Mission Impact Intrusion Report Correlation System, or M-Correlator. M-Correlator is intended to provide analysts (at all experience levels) a powerful capability to automatically fuse together and isolate those INFOSEC alerts that represent the greatest threat to the health and security of their networks.

223 citations

Journal ArticleDOI
TL;DR: This a summary of recent work illustrating how sex differences and gonadal hormones influence sleep and circadian rhythms that was presented at a Mini-Symposium at the 2011 annual meeting of the Society for Neuroscience.
Abstract: While much is known about the mechanisms that underlie sleep and circadian rhythms, the investigation into sex differences and gonadal steroid modulation of sleep and biological rhythms is in its infancy. There is a growing recognition of sex disparities in sleep and rhythm disorders. Understanding how neuroendocrine mediators and sex differences influence sleep and biological rhythms is central to advancing our understanding of sleep-related disorders. While it is known that ovarian steroids affect circadian rhythms in rodents, the role of androgen is less understood. Surprising findings that androgens, acting via androgen receptors in the master “circadian clock” within the suprachiasmatic nucleus, modulate photic effects on activity in males point to novel mechanisms of circadian control. Work in aromatase-deficient mice suggests that some sex differences in photic responsiveness are independent of gonadal hormone effects during development. In parallel, aspects of sex differences in sleep are also reported to be independent of gonadal steroids and may involve sex chromosome complement. This a summary of recent work illustrating how sex differences and gonadal hormones influence sleep and circadian rhythms that was presented at a Mini-Symposium at the 2011 annual meeting of the Society for Neuroscience.

222 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
Network Information
Related Institutions (5)
Massachusetts Institute of Technology
268K papers, 18.2M citations

92% related

University of Illinois at Urbana–Champaign
225.1K papers, 10.1M citations

91% related

Stanford University
320.3K papers, 21.8M citations

90% related

Columbia University
224K papers, 12.8M citations

90% related

University of California, San Diego
204.5K papers, 12.3M citations

90% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20236
202237
2021178
2020223
2019256
2018218