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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.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors presented new measurements of stellar velocity dispersions, using spectra obtained with the Keck Echellette Spectrograph and Imager (ESI), for 76 Seyfert 1 galaxies from the recent catalog of Greene and Ho.
Abstract: We present new measurements of stellar velocity dispersions, using spectra obtained with the Keck Echellette Spectrograph and Imager (ESI) and the Magellan Echellette (MagE), for 76 Seyfert 1 galaxies from the recent catalog of Greene and Ho. These objects were selected from the Sloan Digital Sky Survey (SDSS) to have estimated black hole (BH) masses below 2 x 10{sup 6} M{sub sun}. Combining our results with previous ESI observations of similar objects, we obtain an expanded sample of 93 galaxies and examine the relation between BH mass and velocity dispersion (the M{sub BH}-{sigma}{sub *} relation) for active galaxies with low BH masses. The low-mass active galaxies tend to follow the extrapolation of the M{sub BH}-{sigma}{sub *} relation of inactive galaxies. Including results for active galaxies of higher BH mass from the literature, we find a zero point {alpha} = 7.68 {+-} 0.08 and slope of {beta} = 3.32 {+-} 0.22 for the M{sub BH}-{sigma}{sub *} relation (in the form log M{sub BH} = {alpha} + {beta}log ({sigma}{sub *}/200 km s{sup -1})), with intrinsic scatter of 0.46 {+-} 0.03 dex. This result is consistent, within the uncertainties, with the slope of the M{sub BH}-{sigma}{sub *} relation for reverberation-mapped active galaxies withmore » BH masses from 10{sup 6} to 10{sup 9} M{sub sun}. For the subset of our sample having morphological information from Hubble Space Telescope images, we examine the slope of the M{sub BH}-{sigma}{sub *} relation separately for subsamples of barred and unbarred host galaxies, and find no significant evidence for a difference in slope. We do find a mild offset between low-inclination and high-inclination disk galaxies, such that more highly inclined galaxies tend to have larger {sigma}{sub *} at a given value of BH mass, presumably due to the contribution of disk rotation within the spectroscopic aperture. We also find that the velocity dispersion of the ionized gas, measured from narrow emission lines including [N II] {lambda}6583, [S II] {lambda}{lambda}6716, 6731, and the core of [O III] {lambda}5007 (with the blueshifted wing removed), trace the stellar velocity dispersion well for this large sample of low-mass Seyfert 1 galaxies.« less

212 citations

Journal ArticleDOI
TL;DR: This paper examined the effect of associational activity on the level of new business activity in emerging economies and found that associational activities become more instrumental for new business creation when aspiring entrepreneurs confront higher institutional burdens (i.e., obstacles derived from underdeveloped or absent institutions).

211 citations

Journal ArticleDOI
TL;DR: A new hybrid forecasting model which combined particle swarm optimization with fuzzy time series is proposed to improve the forecasted accuracy and the experimental results of forecasting enrollments of students of the University of Alabama show that the new model is better than any existing models.
Abstract: Many forecasting models based on the concept of fuzzy time series have been proposed in the past decades. Two main factors, which are the lengths of intervals and the content of forecast rules, impact the forecasted accuracy of the models. How to find the proper content of the main factors to improve the forecasted accuracy has become an interesting research topic. Some forecasting models, which combined heuristic methods or evolutionary algorithms (such as genetic algorithms and simulated annealing) with the fuzzy time series, have been proposed but their results are not satisfied. In this paper, we use the particle swarm optimization to find the proper content of the main factors. A new hybrid forecasting model which combined particle swarm optimization with fuzzy time series is proposed to improve the forecasted accuracy. The experimental results of forecasting enrollments of students of the University of Alabama show that the new model is better than any existing models, and it can get better quality solutions based on the first-order and the high-order fuzzy time series, respectively.

211 citations

Journal ArticleDOI
TL;DR: In this article, the authors examine the environmental conditions of markets in different development stages, namely mature, emerging and less developed markets, and explore consumer based, industry based, and legal/regulatory based challenges faced by globalizing retailers in these markets.

211 citations

Journal ArticleDOI
TL;DR: In this paper, the suppression of the yield per nucleon of J/psi and psi(') production for 800 GeV/c protons incident on heavy nuclear targets, relative to light nuclear targets was made with very broad coverage in x(F) and p(T).
Abstract: Measurements of the suppression of the yield per nucleon of J/psi and psi(') production for 800 GeV/ c protons incident on heavy nuclear targets, relative to light nuclear targets, have been made with very broad coverage in x(F) and p(T). The observed suppression is smallest at x(F) values of 0.25 and below, and increases at larger values of x(F). It is also strongest at small p(T). Substantial differences between psi(') and J/psi production are observed for the first time in p-A collisions. The suppression for psi(') production is stronger than that for J/psi for x(F) near zero, but becomes comparable to that for J/psi for x(F)>0.6.

211 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