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Institution

Southern Illinois University Carbondale

EducationCarbondale, Illinois, United States
About: Southern Illinois University Carbondale is a education organization based out in Carbondale, Illinois, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 13570 authors who have published 24819 publications receiving 667385 citations. The organization is also known as: SIU Carbondale & SIUC.


Papers
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Journal ArticleDOI
TL;DR: Biological iron apportionment has been described as one of the most ancient forms of microbial metabolism on Earth, and as a conceivable extraterrestrial metabolism on other iron-mineral-rich planets such as Mars.
Abstract: Iron (Fe) has long been a recognized physiological requirement for life, yet for many microorganisms that persist in water, soils and sediments, its role extends well beyond that of a nutritional necessity. Fe(II) can function as an electron source for iron-oxidizing microorganisms under both oxic and anoxic conditions and Fe(III) can function as a terminal electron acceptor under anoxic conditions for iron-reducing microorganisms. Given that iron is the fourth most abundant element in the Earth's crust, iron redox reactions have the potential to support substantial microbial populations in soil and sedimentary environments. As such, biological iron apportionment has been described as one of the most ancient forms of microbial metabolism on Earth, and as a conceivable extraterrestrial metabolism on other iron-mineral-rich planets such as Mars. Furthermore, the metabolic versatility of the microorganisms involved in these reactions has resulted in the development of biotechnological applications to remediate contaminated environments and harvest energy.

1,440 citations

Journal ArticleDOI
TL;DR: In this article, the authors examined the links between senescence and aging in vivo, and showed that expression of p16INK4a and Arf markedly increases in almost all rodent tissues with advancing age, while there is little or no change in the expression of related cell cycle inhibitors.
Abstract: The Ink4a/Arf locus encodes 2 tumor suppressor molecules, p16INK4a and Arf, which are principal mediators of cellular senescence. To study the links between senescence and aging in vivo, we examined Ink4a/Arf expression in rodent models of aging. We show that expression of p16INK4a and Arf markedly increases in almost all rodent tissues with advancing age, while there is little or no change in the expression of other related cell cycle inhibitors. The increase in expression is restricted to well-defined compartments within each organ studied and occurs in both epithelial and stromal cells of diverse lineages. The age-associated increase in expression of p16INK4a and Arf is attenuated in the kidney, ovary, and heart by caloric restriction, and this decrease correlates with diminished expression of an in vivo marker of senescence, as well as decreased pathology of those organs. Last, the age-related increase in Ink4a/Arf expression can be independently attributed to the expression of Ets-1, a known p16INK4a transcriptional activator, as well as unknown Ink4a/Arf coregulatory molecules. These data suggest that expression of the Ink4a/Arf tumor suppressor locus is a robust biomarker, and possible effector, of mammalian aging.

1,369 citations

Journal ArticleDOI
TL;DR: In this paper, the authors explore the relationship between R. W. Shephard's input distance function and D. G. Luenberger's benefit function and point out that the latter can be recognized in a production context as a directional input distance functions which can exhaustively characterize technologies in both price and input space.

1,247 citations

Journal ArticleDOI
28 Feb 2003-Science
TL;DR: Despite the similarities among mammals and invertebrates in insulin-like peptides and their signal cascade, more research is needed to determine whether these signals control aging in the same way in all the species by the same mechanism.
Abstract: Reduced signaling of insulin-like peptides increases the life-span of nematodes, flies, and rodents. In the nematode and the fly, secondary hormones downstream of insulin-like signaling appear to regulate aging. In mammals, the order in which the hormones act is unresolved because insulin, insulin-like growth factor-1, growth hormone, and thyroid hormones are interdependent. In all species examined to date, endocrine manipulations can slow aging without concurrent costs in reproduction, but with inevitable increases in stress resistance. Despite the similarities among mammals and invertebrates in insulin-like peptides and their signal cascade, more research is needed to determine whether these signals control aging in the same way in all the species by the same mechanism.

1,241 citations

Journal ArticleDOI
01 Jan 1997
TL;DR: In this paper basic results on distributed detection are reviewed and the parallel and the serial architectures are considered in some detail and the decision rules obtained from their optimization based an the Neyman-Pearson criterion and the Bayes formulation are discussed.
Abstract: In this paper basic results on distributed detection are reviewed. In particular we consider the parallel and the serial architectures in some detail and discuss the decision rules obtained from their optimization based an the Neyman-Pearson (NP) criterion and the Bayes formulation. For conditionally independent sensor observations, the optimality of the likelihood ratio test (LRT) at the sensors is established. General comments on several important issues are made including the computational complexity of obtaining the optimal solutions the design of detection networks with more general topologies, and applications to different areas.

1,167 citations


Authors

Showing all 13607 results

NameH-indexPapersCitations
Pulickel M. Ajayan1761223136241
Russel J. Reiter1691646121010
Derek R. Lovley16858295315
Martin B. Keller13154165069
Kurunthachalam Kannan12682059886
John P. Giesy114116262790
Michael L. Blute11252745296
Jianjun Liu112104071032
Janusz Pawliszyn10978852082
Wei Zhang104291164923
Horst Zincke10137530818
Janet R. Daling10035431957
Eric Lam9949234893
Sergei V. Kalinin9599937022
John C. Cheville9043332806
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202319
202279
2021718
2020691
2019732
2018806