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Institution

University of Memphis

EducationMemphis, Tennessee, United States
About: University of Memphis is a education organization based out in Memphis, Tennessee, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 7710 authors who have published 20082 publications receiving 611618 citations. The organization is also known as: U of M.


Papers
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Journal ArticleDOI
TL;DR: The authors review the large and multifaceted literature on death anxiety, fear, threat and acceptance, focusing on the attitudes toward death and dying of relevant professional and patient groups, and the relationship of death concern to aging, physical and mental health, religiosity, and terror management strategies.
Abstract: One of the most substantial legacies of Herman Feifel was his pioneering research on attitudes toward death and dying in a variety of populations. The authors review the large and multifaceted literature on death anxiety, fear, threat and acceptance, focusing on the attitudes toward death and dying of relevant professional and patient groups, and the relationship of death concern to aging, physical and mental health, religiosity, and terror management strategies. We conclude with several recommendations for improving the conceptual and practical yield of future work in this area.

312 citations

Journal ArticleDOI
TL;DR: It is shown that the LCD graph is much more robust than classical random graphs with the same number of edges, but also more vulnerable to attack, namely robustness to random damage, and vulnerability to malicious attack.
Abstract: Recently many new "scale-free" random graph models have been introduced, motivated by the power-law degree sequences observed in many large-scale, real-world networks. Perhaps the best known, the Barabasi-Albert model, has been extensively studied from heuristic and experimental points of view. Here we consider mathematically two basic characteristics of a precise version of this model, the LCD model, namely robustness to random damage, and vulnerability to malicious attack. We show that the LCD graph is much more robust than classical random graphs with the same number of edges, but also more vulnerable to attack. In particular, if vertices of the n-vertex LCD graph are deleted at random, then as long as any positive proportion remains, the graph induced on the remaining vertices has a component of order n. In contrast, if the deleted vertices are chosen maliciously, a constant fraction less then 1 can be deleted to destroy all large components. For the Barabasi-Albert model, these questions have been st...

310 citations

Journal ArticleDOI
TL;DR: In this article, the authors propose that relationships are important mechanisms through which socialization tactics influence commitment and turnover in new hire recruitment and retention, and they find that new hire perceive their relationship with the organization as supportive, caring, and entailing positive social exchanges and become embedded within the organization.
Abstract: Summary Retention of new hires is a critical issue for organizations. We propose that relationships are important mechanisms through which socialization tactics influence commitment and turnover. The key theoretical mechanisms connecting socialization tactics to turnover in our model are the extent to which newcomers perceive their relationship with the organization as supportive, caring, and entailing positive social exchanges and the extent to which newcomers become embedded within the organization. We collected longitudinal data from over 500 employees over the first year of employment. Consistent with our hypotheses, socialization tactics influence perceived organizational support (POS) and job embeddedness, and POS and embeddedness both relate to organizational commitment and voluntary turnover. Results support POS and embeddedness as relational mechanisms that bind employees to the organization as a result of socialization tactics. Copyright © 2012 John Wiley & Sons, Ltd.

310 citations

Journal ArticleDOI
TL;DR: In this paper, the authors review the literature on the influential microstructural attributes on fatigue performance of additive manufacturing (AM) parts with a focus on generated defects, including defect-based, microstructure-sensitive, and multiscale models.

309 citations

Journal ArticleDOI
TL;DR: Surovell et al. as discussed by the authors developed an empirical model of taphonomic bias, which is the tendency for younger things to be overrepresented relative to older things in the archaeological record due to the operation of destructive processes like erosion and weathering.

308 citations


Authors

Showing all 7827 results

NameH-indexPapersCitations
James F. Sallis169825144836
Robert G. Webster15884390776
Ching-Hon Pui14580572146
James Whelan12878689180
Tom Baranowski10348536327
Peter C. Doherty10151640162
Jian Chen96171852917
Arthur C. Graesser9561438549
David Richards9557847107
Jianhong Wu9372636427
Richard W. Compans9152631576
Shiriki K. Kumanyika9034944959
Alexander J. Blake89113335746
Marek Czosnyka8874729117
David M. Murray8630021500
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202327
2022169
20211,049
20201,044
2019843
2018846