Institution
University of Georgia
Education•Athens, Georgia, United States•
About: University of Georgia is a education organization based out in Athens, Georgia, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 41934 authors who have published 93622 publications receiving 3713212 citations. The organization is also known as: UGA & Franklin College.
Topics: Population, Poison control, Gene, Genome, Virus
Papers published on a yearly basis
Papers
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TL;DR: In this paper, the authors examine the behavior of measured variances from the options market and the underlying stock market, and show that biases inherent in the procedure they use to imply variances cannot explain this result.
Abstract: We examine the behavior of measured variances from the options market and the underlying stock market. Under the joint hypotheses that markets are informationally efficient and that option prices are explained by a particular asset pricing model, forecasts from time-series models of the stockreturn process should not have predictive content given the market forecast as embodied in option prices. Both in-sample and out-of-sample tests suggest that this hypothesis can be rejected. Using simulations, we show that biases inherent in the procedure we use to imply variances cannot explain this result. Thus, we provide evidence inconsistent with the orthogonality restrictions of option pricing models that assume that variance risk is unpriced. These results also have implicationsfor optimal variance forecast rules.
611 citations
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University of Georgia1, North Carolina State University2, Washington State University3, University of Guelph4, University of California, Davis5, Ludwig Maximilian University of Munich6, Royal Veterinary College7, University of Wisconsin-Madison8, Tufts University9, University of Pennsylvania10, University of Minnesota11, University of Florida12
TL;DR: The Consensus Statement is intended to be a guide for veterinarians, but it is not a statement of standard of care or a substitute for clinical judgment.
Abstract: Consensus Statements of the American College of Veterinary Internal Medicine (ACVIM) provide veterinarians with guidelines regarding the pathophysiology, diagnosis, or treatment of animal diseases. The foundation of the Consensus Statement is evidence-based medicine, but if such evidence is conflicting or lacking, the panel provides interpretive recommendations on the basis of their collective expertise. The Consensus Statement is intended to be a guide for veterinarians, but it is not a statement of standard of care or a substitute for clinical judgment. Topics of statements and panel members to draft the statements are selected by the Board of Regents with input from the general membership. A draft prepared and input from Diplomates is solicited at the ACVIM Forum and via the ACVIM Web site and incorporated in a final version. This Consensus Statement was approved by the Board of Regents of the ACVIM before publication.
611 citations
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TL;DR: Complementary computational studies confirm the nature of the bonding in L:(Cl)Si–Si(Cl):L and L:Si=Si:L, a carbene-stabilized diatomic silicon molecule with the Si atoms in the formal oxidation state of zero.
Abstract: Dative, or nonoxidative, ligand coordination is common in transition metal complexes; however, this bonding motif is rare in compounds of main group elements in the formal oxidation state of zero. Here, we report that the potassium graphite reduction of the neutral hypervalent silicon-carbene complex L:SiCl4 {where L: is:C[N(2,6-Pri2-C6H3)CH]2 and Pri is isopropyl} produces L:(Cl)Si–Si(Cl):L, a carbene-stabilized bis-silylene, and L:Si=Si:L, a carbene-stabilized diatomic silicon molecule with the Si atoms in the formal oxidation state of zero. The Si-Si bond distance of 2.2294 ± 0.0011 (standard deviation) angstroms in L:Si=Si:L is consistent with a Si=Si double bond. Complementary computational studies confirm the nature of the bonding in L:(Cl)Si–Si(Cl):L and L:Si=Si:L.
610 citations
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TL;DR: This novel SERS assay can detect spectral differences between viruses, viral strains, and viruses with gene deletions in biological media and provides rapid diagnostics for detection and characterization of viruses generating reproducible spectra without viral manipulation.
Abstract: A spectroscopic assay based on surface enhanced Raman scattering (SERS) using silver nanorod array substrates has been developed that allows for rapid detection of trace levels of viruses with a high degree of sensitivity and specificity. This novel SERS assay can detect spectral differences between viruses, viral strains, and viruses with gene deletions in biological media. The method provides rapid diagnostics for detection and characterization of viruses generating reproducible spectra without viral manipulation.
610 citations
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TL;DR: In this paper, the authors present empirical evidence on the determinants of three types of informal technology transfer by faculty members: transfer of commercial technology, joint publications with industry scientists, and industrial consulting.
Abstract: Formal university technology transfer mechanisms, through licensing agreements, research joint ventures, and university-based startups, have attracted considerable attention in the academic literature. Surprisingly, there has been little systematic empirical analysis of the propensity of academics to engage in informal technology transfer. This paper presents empirical evidence on the determinants of three types of informal technology transfer by faculty members: transfer of commercial technology, joint publications with industry scientists, and industrial consulting. We find that male, tenured and research-grant active faculty members are more likely to engage in all three forms of informal technology transfer.
608 citations
Authors
Showing all 42268 results
Name | H-index | Papers | Citations |
---|---|---|---|
Rob Knight | 201 | 1061 | 253207 |
Feng Zhang | 172 | 1278 | 181865 |
Zhenan Bao | 169 | 865 | 106571 |
Carl W. Cotman | 165 | 809 | 105323 |
Yoshio Bando | 147 | 1234 | 80883 |
Mark Raymond Adams | 147 | 1187 | 135038 |
Han Zhang | 130 | 970 | 58863 |
Dmitri Golberg | 129 | 1024 | 61788 |
Godfrey D. Pearlson | 128 | 740 | 58845 |
Douglas E. Soltis | 127 | 612 | 67161 |
Richard A. Dixon | 126 | 603 | 71424 |
Ajit Varki | 124 | 542 | 58772 |
Keith A. Johnson | 120 | 798 | 51034 |
Gustavo E. Scuseria | 120 | 658 | 95195 |
Julian I. Schroeder | 120 | 315 | 50323 |