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Institution

Clemson University

EducationClemson, South Carolina, United States
About: Clemson University is a education organization based out in Clemson, South Carolina, United States. It is known for research contribution in the topics: Population & Control theory. The organization has 20556 authors who have published 42518 publications receiving 1170779 citations. The organization is also known as: Clemson Agricultural College of South Carolina.


Papers
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Journal ArticleDOI
05 Feb 1999-Science
TL;DR: The thermoelectric materials have been investigated with the goal of maximizing electrical conductivity while minimizing thermal conductivity, which is required for good thermal performance as discussed by the authors, and the results suggest that important further improvements are on the horizon with promising applications in the computer and other high-tech industries.
Abstract: Thermoelectric materials, which have applications in refrigeration and power generation, are experiencing a surge in research activity. Many different materials are investigated with the goal of maximizing electrical conductivity while minimizing thermal conductivity, which is required for good thermoelectric performance. Only recently was a 30-year deadlock in thermoelectric performance overcome. Predictions for the new materials suggest that important further improvements are on the horizon, with promising applications in the computer and other high-tech industries.

680 citations

Journal ArticleDOI
Markus Ackermann, Marco Ajello1, Andrea Albert2, W. B. Atwood3  +174 moreInstitutions (43)
TL;DR: The first IGRB measurement with the Large Area Telescope (LAT) on board the Fermi Gamma-ray Space Telescope (Fermi) used 10 months of sky-survey data and considered an energy range between 200 MeV and 100 GeV.
Abstract: The gamma-ray sky can be decomposed into individually detected sources, diffuse emission attributed to the interactions of Galactic cosmic rays with gas and radiation fields, and a residual all-sky emission component commonly called the isotropic diffuse gamma-ray background (IGRB). The IGRB comprises all extragalactic emissions too faint or too diffuse to be resolved in a given survey, as well as any residual Galactic foregrounds that are approximately isotropic. The first IGRB measurement with the Large Area Telescope (LAT) on board the Fermi Gamma-ray Space Telescope (Fermi) used 10 months of sky-survey data and considered an energy range between 200 MeV and 100 GeV. Improvements in event selection and characterization of cosmic-ray backgrounds, better understanding of the diffuse Galactic emission, and a longer data accumulation of 50 months, allow for a refinement and extension of the IGRB measurement with the LAT, now covering the energy range from 100 MeV to 820 GeV. The IGRB spectrum shows a significant high-energy cutoff feature, and can be well described over nearly four decades in energy by a power law with exponential cutoff having a spectral index of 2.32 plus or minus 0.02 and a break energy of (279 plus or minus 52) GeV using our baseline diffuse Galactic emission model. The total intensity attributed to the IGRB is (7.2 plus or minus 0.6) x 10(exp -6) cm(exp -2) s(exp -1) sr(exp -1) above 100 MeV, with an additional +15%/-30% systematic uncertainty due to the Galactic diffuse foregrounds.

680 citations

Journal ArticleDOI
29 Oct 2010-Mbio
TL;DR: A random matrix theory (RMT)-based conceptual framework for identifying functional molecular ecological networks was developed with the high-throughput functional gene array hybridization data of soil microbial communities in a long-term grassland FACE (free air, CO2 enrichment) experiment, suggesting that eCO2 dramatically altered the network interactions among different microbial functional genes/populations.
Abstract: Biodiversity and its responses to environmental changes are central issues in ecology and for society. Almost all mi- crobial biodiversity research focuses on "species" richness and abundance but not on their interactions. Although a network approach is powerful in describing ecological interactions among species, defining the network structure in a microbial commu- nity is a great challenge. Also, although the stimulating effects of elevated CO2 (eCO2) on plant growth and primary productivity are well established, its influences on belowground microbial communities, especially microbial interactions, are poorly under- stood. Here, a random matrix theory (RMT)-based conceptual framework for identifying functional molecular ecological net- works was developed with the high-throughput functional gene array hybridization data of soil microbial communities in a long-term grassland FACE (free air, CO2 enrichment) experiment. Our results indicate that RMT is powerful in identifying func- tional molecular ecological networks in microbial communities. Both functional molecular ecological networks under eCO2 and ambient CO2 (aCO2) possessed the general characteristics of complex systems such as scale free, small world, modular, and hier- archical. However, the topological structures of the functional molecular ecological networks are distinctly different between eCO2 and aCO2, at the levels of the entire communities, individual functional gene categories/groups, and functional genes/ sequences, suggesting that eCO2 dramatically altered the network interactions among different microbial functional genes/ populations. Such a shift in network structure is also significantly correlated with soil geochemical variables. In short, elucidat- ing network interactions in microbial communities and their responses to environmental changes is fundamentally important for research in microbial ecology, systems microbiology, and global change. IMPORTANCE Microorganisms are the foundation of the Earth's biosphere and play integral and unique roles in various ecosys- tem processes and functions. In an ecosystem, various microorganisms interact with each other to form complicated networks. Elucidating network interactions and their responses to environmental changes is difficult due to the lack of appropriate experi- mental data and an appropriate theoretical framework. This study provides a conceptual framework to construct interaction networks in microbial communities based on high-throughput functional gene array hybridization data. It also first documents that elevated carbon dioxide in the atmosphere dramatically alters the network interactions in soil microbial communities, which could have important implications in assessing the responses of ecosystems to climate change. The conceptual framework developed allows microbiologists to address research questions unapproachable previously by focusing on network interactions beyond the listing of, e.g., the number and abundance of species. Thus, this study could represent transformative research and a paradigm shift in microbial ecology.

678 citations

Journal ArticleDOI
TL;DR: This article analyzed several hundred firms that expand via acquisition and/or increase their reported number of business segments and found that half or more of the reduction in excess value occurs because the firms acquire already discounted business units, and not because combining firms destroys value.
Abstract: We analyze several hundred firms that expand via acquisition and/or increase their reported number of business segments. The average combined market reaction to acquisition announcements is positive but, according to the Berger and Ofek (1995) method for valuing conglomerates, the excess values of the acquiring firms decline after the diversifying event. For our sample, half or more of the reduction in excess value occurs because the firms acquire already-discounted business units, and not because combining firms destroys value. We also show that firms that increase their number of business segments due to pure reporting changes do not exhibit reductions in excess value. Our results suggest that the standard assumption that conglomerate divisions can be benchmarked to typical stand-alone firms should be carefully reconsidered.

677 citations

Journal ArticleDOI
19 May 2006-Science
TL;DR: Eradication of stress-induced transposition evidently stabilized the MDS genomes and provided some of the new properties and led to unanticipated beneficial properties: high electroporation efficiency and accurate propagation of recombinant genes and plasmids that were unstable in other strains.
Abstract: With the use of synthetic biology, we reduced the Escherichia coli K-12 genome by making planned, precise deletions. The multiple-deletion series (MDS) strains, with genome reductions up to 15%, were designed by identifying nonessential genes and sequences for elimination, including recombinogenic or mobile DNA and cryptic virulence genes, while preserving good growth profiles and protein production. Genome reduction also led to unanticipated beneficial properties: high electroporation efficiency and accurate propagation of recombinant genes and plasmids that were unstable in other strains. Eradication of stress-induced transposition evidently stabilized the MDS genomes and provided some of the new properties.

675 citations


Authors

Showing all 20718 results

NameH-indexPapersCitations
Yury Gogotsi171956144520
Philip S. Yu1481914107374
Aaron Dominguez1471968113224
Danny Miller13351271238
Marco Ajello13153558714
David C. Montefiori12992070049
Frank L. Lewis114104560497
Jianqing Fan10448858039
Wei Chen103143844994
Ken A. Dill9940141289
Gerald Schubert9861434505
Rod A. Wing9833347696
Feng Chen95213853881
Jimin George9433162684
François Diederich9384346906
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202363
2022253
20212,407
20202,362
20192,080
20181,978