scispace - formally typeset
Search or ask a question
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
More filters
Journal ArticleDOI
24 Apr 2008-Nature
TL;DR: High-resolution radio images and optical polarization measurements of the blazar BL Lacertae reveal a bright feature in the jet that causes a double flare of radiation from optical frequencies to TeV γ-ray energies, as well as a delayed outburst at radio wavelengths that is identified with the acceleration and collimation zone predicted by the theories.
Abstract: Blazars are the most extreme active galactic nuclei. They possess oppositely directed plasma jets emanating at near light speeds from accreting supermassive black holes. According to theoretical models, such jets are propelled by magnetic fields twisted by differential rotation of the black hole's accretion disk or inertial-frame-dragging ergosphere1, 2, 3. The flow velocity increases outward along the jet in an acceleration and collimation zone containing a coiled magnetic field4, 5. Detailed observations of outbursts of electromagnetic radiation, for which blazars are famous, can potentially probe the zone. It has hitherto not been possible to either specify the location of the outbursts or verify the general picture of jet formation. Here we report sequences of high-resolution radio images and optical polarization measurements of the blazar BL Lacertae. The data reveal a bright feature in the jet that causes a double flare of radiation from optical frequencies to TeV -ray energies, as well as a delayed outburst at radio wavelengths. We conclude that the event starts in a region with a helical magnetic field that we identify with the acceleration and collimation zone predicted by the theories. The feature brightens again when it crosses a standing shock wave corresponding to the bright 'core' seen on the images.

783 citations

Journal ArticleDOI
TL;DR: In this article, the authors examined the validity of a measurement system for the study of aggression that distinguishes among four principle dimensions of aggressive behaviour: overt and relational aggression (i.e., the "whats") and instrumental and reactive aggression.
Abstract: We examined the validity of a measurement system for the study of aggression that distinguishes among four principle dimensions of aggressive behaviour: overt and relational aggression (i.e., the "whats") and instrumental and reactive aggression (i.e., the "whys"). The sample comprised 1723 adolescents (Grades 5 through 10) from Berlin, Germany. The internal validity of the measurement system was strongly supported, revealing four discrete dimensions of aggression: two overriding forms (overt and relational) and two underlying functions (instrumental and reactive). The differential and unique patterns of criterion-related validity strongly supported the distinctions among the constructs. The importance of disentangling these dimensions in understanding the development of aggressive behaviour is discussed.

778 citations

Journal ArticleDOI
01 Jan 2005-Chest
TL;DR: None of the pooled metaanalyses showed a significant difference between devices in any efficacy outcome in any patient group for each of the clinical settings that was investigated.

755 citations

Journal ArticleDOI
TL;DR: A Delphi study in which experienced software project managers identified and ranked the most important risks led to the identification of risk factors and their relative importance, but also to novel insights into why project managers might view certain risks as being more important than others.
Abstract: We've all heard tales of multimillion dollar mistakes that somehow ran off course. Are software projects that risky or do managers need to take a fresh approach when preparing for such critical expeditions? Software projects are notoriously difficult to manage and too many of them end in failure. In 1995, annual U.S. spending on software projects reached approximately $250 billion and encompassed an estimated 175,000 projects [6]. Despite the costs involved, press reports suggest that project failures are occurring with alarming frequency. In 1995, U.S companies alone spent an estimated $59 billion in cost overruns on IS projects and another $81 billion on canceled software projects [6]. One explanation for the high failure rate is that managers are not taking prudent measures to assess and manage the risks involved in these projects. is Advocates of software project risk management claim that by countering these threats to success, the incidence of failure can be reduced [4, 5]. Before we can develop meaningful risk management strategies, however, we must identify these risks. Furthermore, the relative importance of these risks needs to be established, along with some understanding as to why certain risks are perceived to be more important than others. This is necessary so that managerial attention can be focused on the areas that constitute the greatest threats. Finally, identified risks must be classified in a way that suggests meaningful risk mitigation strategies. Here, we report the results of a Delphi study in which experienced software project managers identified and ranked the most important risks. The study led not only to the identification of risk factors and their relative importance, but also to novel insights into why project managers might view certain risks as being more important than others. Based on these insights, we introduce a framework for classifying software project risks and discuss appropriate strategies for managing each type of risk. Since the 1970s, both academics and practitioners have written about risks associated with managing software projects [1, 2, 4, 5, 7, 8]. Unfortunately , much of what has been written on risk is based either on anecdotal evidence or on studies limited to a narrow portion of the development process. Moreover, no systematic attempts have been made to identify software project risks by tapping the opinions of those who actually have experience in managing such projects. With a few exceptions [3, 8], there has been little attempt to understand the …

755 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
Network Information
Related Institutions (5)
Pennsylvania State University
196.8K papers, 8.3M citations

91% related

Boston University
119.6K papers, 6.2M citations

91% related

Vanderbilt University
106.5K papers, 5.4M citations

91% related

Indiana University
150K papers, 6.3M citations

90% related

University of North Carolina at Chapel Hill
185.3K papers, 9.9M citations

90% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202353
2022291
20212,013
20201,977
20191,745
20181,663