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Institution

Wayne State University

EducationDetroit, Michigan, United States
About: Wayne State University is a education organization based out in Detroit, Michigan, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 42801 authors who have published 82738 publications receiving 3083713 citations. The organization is also known as: WSU & Wayne University.


Papers
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Proceedings ArticleDOI
01 Nov 2008
TL;DR: In this article, the authors compare and contrast cloud computing with grid computing from various angles and give insights into the essential characteristics of both the two technologies, and compare the advantages of grid computing and cloud computing.
Abstract: Cloud computing has become another buzzword after Web 2.0. However, there are dozens of different definitions for cloud computing and there seems to be no consensus on what a cloud is. On the other hand, cloud computing is not a completely new concept; it has intricate connection to the relatively new but thirteen-year established grid computing paradigm, and other relevant technologies such as utility computing, cluster computing, and distributed systems in general. This paper strives to compare and contrast cloud computing with grid computing from various angles and give insights into the essential characteristics of both.

3,132 citations

Journal ArticleDOI
TL;DR: This work identified a highly tumorigenic subpopulation of pancreatic cancer cells expressing the cell surface markers CD44, CD24, and epithelial-specific antigen (ESA) that showed the stem cell properties of self-renewal, the ability to produce differentiated progeny, and increased expression of the developmental signaling molecule sonic hedgehog.
Abstract: Emerging evidence has suggested that the capability of a tumor to grow and propagate is dependent on a small subset of cells within a tumor, termed cancer stem cells. Although data have been provided to support this theory in human blood, brain, and breast cancers, the identity of pancreatic cancer stem cells has not been determined. Using a xenograft model in which primary human pancreatic adenocarcinomas were grown in immunocompromised mice, we identified a highly tumorigenic subpopulation of pancreatic cancer cells expressing the cell surface markers CD44, CD24, and epithelial-specific antigen (ESA). Pancreatic cancer cells with the CD44+CD24+ESA+ phenotype (0.2–0.8% of pancreatic cancer cells) had a 100-fold increased tumorigenic potential compared with nontumorigenic cancer cells, with 50% of animals injected with as few as 100 CD44+CD24+ESA+ cells forming tumors that were histologically indistinguishable from the human tumors from which they originated. The enhanced ability of CD44+CD24+ESA+ pancreatic cancer cells to form tumors was confirmed in an orthotopic pancreatic tail injection model. The CD44+CD24+ESA+ pancreatic cancer cells showed the stem cell properties of self-renewal, the ability to produce differentiated progeny, and increased expression of the developmental signaling molecule sonic hedgehog. Identification of pancreatic cancer stem cells and further elucidation of the signaling pathways that regulate their growth and survival may provide novel therapeutic approaches to treat pancreatic cancer, which is notoriously resistant to standard chemotherapy and radiation. [Cancer Res 2007;67(3):1030–7]

3,109 citations

Journal ArticleDOI
TL;DR: A standard set of quantity names and symbols related to the estimation of kinetic parameters from dynamic contrast‐enhanced T1‐weighted magnetic resonance imaging data, using diffusable agents such as gadopentetate dimeglumine (Gd‐DTPA), are described.
Abstract: We describe a standard set of quantity names and symbols related to the estimation of kinetic parameters from dynamic contrast-enhanced T(1)-weighted magnetic resonance imaging data, using diffusable agents such as gadopentetate dimeglumine (Gd-DTPA). These include a) the volume transfer constant K(trans) (min(-1)); b) the volume of extravascular extracellular space (EES) per unit volume of tissue v(e) (0 < v(e) < 1); and c) the flux rate constant between EES and plasma k(ep) (min(-1)). The rate constant is the ratio of the transfer constant to the EES (k(ep) = K(trans)/v(e)). Under flow-limited conditions K(trans) equals the blood plasma flow per unit volume of tissue; under permeability-limited conditions K(trans) equals the permeability surface area product per unit volume of tissue. We relate these quantities to previously published work from our groups; our future publications will refer to these standardized terms, and we propose that these be adopted as international standards.

3,078 citations

Journal ArticleDOI
TL;DR: The largest declines in risk exposure from 2010 to 2019 were among a set of risks that are strongly linked to social and economic development, including household air pollution; unsafe water, sanitation, and handwashing; and child growth failure.

3,059 citations


Authors

Showing all 43073 results

NameH-indexPapersCitations
Robert Langer2812324326306
Eugene Braunwald2301711264576
Rakesh K. Jain2001467177727
Anil K. Jain1831016192151
Richard A. Gibbs172889249708
Bradley Cox1692150156200
Jun Wang1661093141621
David Altshuler162345201782
Elliott M. Antman161716179462
Jovan Milosevic1521433106802
Roberto Romero1511516108321
Kypros H. Nicolaides147130287091
John F. Hartwig14571466472
Charles Maguire142119795026
Mingshui Chen1411543125369
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202391
2022407
20213,537
20203,508
20193,011
20182,963