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Institution

Georgia State University

EducationAtlanta, Georgia, United States
About: Georgia State University is a education organization based out in Atlanta, Georgia, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 13988 authors who have published 35895 publications receiving 1164332 citations. The organization is also known as: GSU & Georgia State.


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Journal ArticleDOI
TL;DR: In this article, the authors model the financing decisions of a firm as a sequential signaling game and show that when insiders have perfect information regarding the firm's future case flows, the application of'refinements' to the set of admissible equilibria leads to the dominance of debt over equity financing.
Abstract: In this article we model the financing decisions of a firm as a sequential signaling game. We prove that, when insiders have perfect information regarding the firm's future case flows, the application of 'refinements' to the set of admissible equilibria leads to the dominance of debt over equity financing. However, we show that when insiders observe the firm's cash flows imperfectly, there may exist sequential equilibria in which this 'pecking order' breaks down and some firms strictly prefer equity to debt financing. We also prove that, despite the breakdown of the pecking order, the announcement effect of equity financing will be negative relative to debt financing.

210 citations

Journal ArticleDOI
TL;DR: The integration of protein-protein interaction network and gene expression data can help improve the precision of predicting essential proteins, and the proposed new centrality measure PeC is an effective essential protein discovery method.
Abstract: Background: Identification of essential proteins is always a challenging task since it requires experimental approaches that are time-consuming and laborious. With the advances in high throughput technologies, a large number of protein-protein interactions are available, which have produced unprecedented opportunities for detecting proteins’ essentialities from the network level. There have been a series of computational approaches proposed for predicting essential proteins based on network topologies. However, the network topology-based centrality measures are very sensitive to the robustness of network. Therefore, a new robust essential protein discovery method would be of great value. Results: In this paper, we propose a new centrality measure, named PeC, based on the integration of proteinprotein interaction and gene expression data. The performance of PeC is validated based on the protein-protein interaction network of Saccharomyces cerevisiae. The experimental results show that the predicted precision of PeC clearly exceeds that of the other fifteen previously proposed centrality measures: Degree Centrality (DC), Betweenness Centrality (BC), Closeness Centrality (CC), Subgraph Centrality (SC), Eigenvector Centrality (EC), Information Centrality (IC), Bottle Neck (BN), Density of Maximum Neighborhood Component (DMNC), Local Average Connectivity-based method (LAC), Sum of ECC (SoECC), Range-Limited Centrality (RL), L-index (LI), Leader Rank (LR), Normalized a-Centrality (NC), and Moduland-Centrality (MC). Especially, the improvement of PeC over the classic centrality measures (BC, CC, SC, EC, and BN) is more than 50% when predicting no more than 500 proteins. Conclusions: We demonstrate that the integration of protein-protein interaction network and gene expression data can help improve the precision of predicting essential proteins. The new centrality measure, PeC, is an effective essential protein discovery method.

209 citations

Journal ArticleDOI
TL;DR: The interactions of DAPI with natural DNA and synthetic polymers have been investigated by hydrodynamic, DNase I footprinting, spectroscopic, binding, and kinetic methods and results are consistent with two totally different DNA binding modes for DAPI in regions containing consecutive AT base pairs versus regions containing GC or mixed GC and AT base pair sequences.
Abstract: The interactions of DAPI with natural DNA and synthetic polymers have been investigated by hydrodynamic, DNase I footprinting, spectroscopic, binding, and kinetic methods. Footprinting results at low ratios (compound to base pair) are similar for DAPI and distamycin. At high ratios, however, GC regions are blocked from enzyme cleavage by DAPI but not by distamycin. Both poly[d(G-C)]2 and poly[d(A-T)]2 induce hypochromism and shifts of the DAPI absorption band to longer wavelengths, but the effects are larger with the GC polymer. NMR shifts of DAPI protons in the presence of excess AT and GC polymers are significantly different, upfield for GC and mixed small shifts for AT. The dissociation rate constants and effects of salt concentration on the rate constants are also quite different for the AT and the GC polymer complexes. The DAPI dissociation rate constant is larger with the GC polymer but is less sensitive to changes in salt concentration than with the AT complex. Binding of DAPI to the GC polymer and to poly[d(A-C)].poly[d(G-T)] exhibits slight negative cooperativity, characteristic of a neighbor-exclusion binding mode. DAPI binding to the AT polymer is unusually strong and exhibits significant positive cooperativity. DAPI has very different effects on the bleomycin-catalyzed cleavage of the AT and GC polymers, a strong inhibition with the AT polymer but enhanced cleavage with the GC polymer. All of these results are consistent with two totally different DNA binding modes for DAPI in regions containing consecutive AT base pairs versus regions containing GC or mixed GC and AT base pair sequences. The binding mode at AT sites has characteristics which are similar to those of the distamycin-AT complex, and all results are consistent with a cooperative, very strong minor groove binding mode. In GC and mixed-sequence regions the results are very similar to those observed with classical intercalators such as ethidium and indicate that DAPI intercalates in DNA sequences which do not contain at least three consecutive AT base pairs.

209 citations

Journal ArticleDOI
TL;DR: In this article, the authors take as its premise that members of the public assume three principal roles relative to public management: as customers, as partners, and as citizens, and they draw from recent research to recommend guidelines for how public managers can work effectively with the public in these several capacities.
Abstract: Scholars and practitioners have long debated what role the public should play in public management. When members of the public interact with the administrative side of government, should they be treated as customers, as citizens, or in some other manner? This article takes as its premise that members of the public assume three principal roles relative to public management: as customers, as partners, and as citizens. After placing these roles in the context of the history of public administration, the article draws from recent research to recommend guidelines for how public managers can work effectively with the public in these several capacities.

209 citations

Journal ArticleDOI
TL;DR: In this article, the authors developed the concept of integrated leadership in the public sector and analyzed the relationship between integrated leadership and federal program performance using data from the Federal Human Capital Survey and Program Assessment Rating Tool.
Abstract: article i nfo a bstract This study develops the concept of integrated leadership in the public sector. Integrated leadership is conceived as the combination of five leadership roles that are performed collectively by employees and managers at different levels of the hierarchy. The leadership roles are task-, relations-, change-, diversity-, and integrity-oriented leadership. Using data from the Federal Human Capital Survey and Program Assessment Rating Tool, we analyze the relationship between integrated leadership and federal program performance. The findings from the empirical analysis indicate that integrated leadership has a positive and sizeable effect on the performance of federal sub-agencies. The study concludes with a discussion of the implications of the findings and limitations of the study.

209 citations


Authors

Showing all 14161 results

NameH-indexPapersCitations
Paul M. Thompson1832271146736
Michael Tomasello15579793361
Han Zhang13097058863
David B. Audretsch12667172456
Ian O. Ellis126105175435
John R. Perfect11957352325
Vince D. Calhoun117123462205
Timothy E. Hewett11653149310
Kenta Shigaki11357042914
Eric Courchesne10724041200
Cynthia M. Bulik10771441562
Shaker A. Zahra10429363532
Robin G. Morris9851932080
Richard H. Myers9731654203
Walter H. Kaye9640330915
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202353
2022291
20212,013
20201,977
20191,745
20181,663