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Michael L. Simpson

Researcher at Oak Ridge National Laboratory

Publications -  238
Citations -  10576

Michael L. Simpson is an academic researcher from Oak Ridge National Laboratory. The author has contributed to research in topics: Carbon nanofiber & Nanofiber. The author has an hindex of 56, co-authored 229 publications receiving 10028 citations. Previous affiliations of Michael L. Simpson include Battelle Memorial Institute & University of Tennessee.

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Vertically Aligned Carbon Nanofibers and Related Structures: Controlled Synthesis and Directed Assembly

TL;DR: In this article, a review of the application areas for carbon nanotubes and nanofibers including electron field-emission sources, electrochemical probes, functionalized sensor elements, scanning probe microscopy tips, nanoelectromechanical systems (NEMS), hydrogen and charge storage, and catalyst support.
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PHENIX detector overview

K. Adcox, +604 more
TL;DR: The PHENIX detector as mentioned in this paper is designed to perform a broad study of A-A, p-A and p-p collisions to investigate nuclear matter under extreme conditions, and is used to study systematic variations with species and energy as well as to measure the spin structure of the nucleon.
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Gene network shaping of inherent noise spectra

TL;DR: Noise spectral measurements provide mechanistic insights into gene regulation, as perturbations of gene circuit parameters are discernible in the measured noise frequency ranges, and suggest that noise spectral measurements could facilitate the discovery of novel regulatory relationships.
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Transcriptional Bursting from the HIV-1 Promoter Is a Significant Source of Stochastic Noise in HIV-1 Gene Expression

TL;DR: In this paper, the authors quantified expression noise from the long terminal repeat (LTR) promoter at different HIV-1 integration sites across the human genome and found that the measured noise levels are inconsistent with constitutive gene expression models, and that each burst generates an average of 2-10 mRNA transcripts before the promoter returned to an inactive state.