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Institution

United States Department of the Army

GovernmentArlington, Virginia, United States
About: United States Department of the Army is a government organization based out in Arlington, Virginia, United States. It is known for research contribution in the topics: Poison control & Population. The organization has 32668 authors who have published 42453 publications receiving 947075 citations. The organization is also known as: DA & U.S. Department of the Army.
Topics: Poison control, Population, Laser, Signal, Projectile


Papers
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Journal ArticleDOI
Theo Vos, Abraham D. Flaxman1, Mohsen Naghavi1, Rafael Lozano1  +360 moreInstitutions (143)
TL;DR: Prevalence and severity of health loss were weakly correlated and age-specific prevalence of YLDs increased with age in all regions and has decreased slightly from 1990 to 2010, but population growth and ageing have increased YLD numbers and crude rates over the past two decades.

7,021 citations

Journal ArticleDOI
Christopher J L Murray1, Theo Vos2, Rafael Lozano1, Mohsen Naghavi1  +366 moreInstitutions (141)
TL;DR: The results for 1990 and 2010 supersede all previously published Global Burden of Disease results and highlight the importance of understanding local burden of disease and setting goals and targets for the post-2015 agenda taking such patterns into account.

6,861 citations

Journal ArticleDOI
TL;DR: Combined results from four experiments lead to the following conclusions: the PQ and ITQ are internally consistent measures with high reliability; there is a weak but consistent positive relation between presence and task performance in VEs; individuals who report more simulator sickness symptoms in VE report less presence than those who report fewer symptoms.
Abstract: The effectiveness of virtual environments (VEs) has often been linked to the sense of presence reported by users of those VEs. (Presence is defined as the subjective experience of being in one place or environment, even when one is physically situated in another.) We believe that presence is a normal awareness phenomenon that requires directed attention and is based in the interaction between sensory stimulation, environmental factors that encourage involvement and enable immersion, and internal tendencies to become involved. Factors believed to underlie presence were described in the premier issue of Presence: Teleoperators and Virtual Environments. We used these factors and others as the basis for a presence questionnaire (PQ) to measure presence in VEs. In addition we developed an immersive tendencies questionnaire (ITQ) to measure differences in the tendencies of individuals to experience presence. These questionnaires are being used to evaluate relationships among reported presence and other research variables. Combined results from four experiments lead to the following conclusions: the PQ and ITQ are internally consistent measures with high reliability; there is a weak but consistent positive relation between presence and task performance in VEs; individual tendencies as measured by the ITQ predict presence as measured by the PQ; and individuals who report more simulator sickness symptoms in VE report less presence than those who report fewer symptoms.

4,940 citations

Journal ArticleDOI
TL;DR: In this article, self-report data from 297 alumni of an all-male religious college indicate that identification with the alma mater was associated with: (1) the hypothesized organizational antecedents of organizational distinctiveness, organizational prestige, and (absence of) intraorganizational competition, but not with interorganization competition, the hypothesized individual antecedent of satisfaction with the organization, tenure as students, and sentimentality, not with recency of attendance, number of schools attended, or the existence of a mentor, and hypothesized outcomes of making financial contributions, willingness to
Abstract: Summary Organizational identification is defined as a perceived oneness with an organization and the experience of the organization's successes and failures as one's own. While identification is considered important to the organization, it has not been clearly operationalized. The current study tests a proposed model of organizational identification. Self-report data from 297 alumni of an all-male religious college indicate that identification with the alma mater was associated with: (1) the hypothesized organizational antecedents of organizational distinctiveness, organizational prestige, and (absence of) intraorganizational competition, but not with interorganizational competition, (2) the hypothesized individual antecedents of satisfaction with the organization, tenure as students, and sentimentality, but not with recency of attendance, number of schools attended, or the existence of a mentor, and (3) the hypothesized outcomes of making financial contributions, willingness to advise one's offspring and others to attend the college, and participating in various school functions. The findings provide direction for academic administrators seeking to increase alumni support, as well as for corporate managers concerned about the loyalty of workers in an era of mergers and takeovers.

4,726 citations

Journal ArticleDOI
TL;DR: In this paper, a procedure for determining statistically whether the highest observation, lowest observation, highest and lowest observations, or more of the observations in the sample are statistical outliers is given.
Abstract: Procedures are given for determining statistically whether the highest observation, the lowest observation, the highest and lowest observations, the two highest observations, the two lowest observations, or more of the observations in the sample are statistical outliers. Both the statistical formulae and the application of the procedures to examples are given, thus representing a rather complete treatment of tests for outliers in single samples. This paper has been prepared primarily as an expository and tutorial article on the problem of detecting outlying observations in much experimental work. We cover only tests of significance in thii paper.

3,551 citations


Authors

Showing all 32680 results

NameH-indexPapersCitations
David L. Kaplan1771944146082
Russel J. Reiter1691646121010
Donald G. Truhlar1651518157965
Jie Liu131153168891
Martin A. Green127106976807
William J. Kraemer12375554774
Steven J. Jacobsen12366262716
Roger H Unger12149348035
Thomas C. Quinn12082765881
John B. Holcomb12073353760
Stephen Mann12066955008
Bette T. Korber11739249526
Thomas G. Ksiazek11339846108
John R. Anderson11253884725
Stanley I. Rapoport10769645793
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20232
202229
2021914
2020960
2019964
2018911