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Institution

University of Nevada, Reno

EducationReno, Nevada, United States
About: University of Nevada, Reno is a education organization based out in Reno, Nevada, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 13561 authors who have published 28217 publications receiving 882002 citations. The organization is also known as: University of Nevada & Nevada State University.


Papers
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Journal ArticleDOI
TL;DR: It is demonstrated that large firms, as well as those that have been relying on outsourcing or EDI, tended to be slow to migrate to the internet platform, while firm size, partner usage, electronic data interchange (EDI) usage, and perceived obstacles were found to negatively affect e-commerce migration.

389 citations

Journal ArticleDOI
TL;DR: In this paper, a proportional specimen resistance (PSR) model has been proposed that consists of the elastic resistance of the test specimen and frictional effects at the indentor facet/specimen interface during microindentation.
Abstract: The microhardness indentation load/size effect (ISE) on the Knoop microhardness of single crystals of TiO2 and SnO2 has been investigated. Experimental results have been analysed using the classical power law approach and from an effective indentation test load viewpoint. The Hays/Kendall concept of a critical applied test load for the initiation of plastic deformation was considered, but rejected to explain the ISE. A proportional specimen resistance (PSR) model has been proposed that consists of the elastic resistance of the test specimen and frictional effects at the indentor facet/specimen interface during microindentation. The microhardness test load, P, and the resulting indentation size, d, have been found to follow the relationship $$P = a_1 d + a_2 d^2 = a_1 d + (P_c /d_0^2 ) d^2$$ The ISE is a consequence of the indentation-size proportional resistance of the test specimen as described by a 1. a 2 is found to be related to the load-independent indentation hardness. It consists of the critical indentation load, P c, and the characteristic indentation size, d o.

388 citations

Journal ArticleDOI
TL;DR: In this paper, the authors examined the behavioral and subjective impact of a control-based versus acceptance rationale, using a cold pressor task, and found that acceptance was effective in manipulating the believability of reason giving, a key process measure.
Abstract: Acceptance approaches, which have been receiving increased attention within behavior therapy, seek to undermine the linkage between private events and overt behavior, rather than attempting to control the form or frequency of private events per se Research comparing control versus acceptance strategies is limited The present study examined the behavioral and subjective impact of a control-based versus acceptance rationale, using a cold pressor task Subjects in the acceptance group demonstrated greater tolerance of pain compared to the control-based and placebo groups Only the control-based rationale targeted the subjective experience of pain but it did not differ across rationales Results confirmed that acceptance was effective in manipulating the believability of reason giving, a key process measure By encouraging individuals to distance themselves from their private events, acceptance methods may help reduce the use of emotional reasons to explain behavior and hence shift concern from moderating thoughts and feelings to experiencing the consequences of one’s action Acceptance is a promising new technique Its effect is all the more surprising given that it teaches principles (eg, “thoughts do not cause behavior”) that run counter both to the popular culture and to the dominant approaches within empirical clinical intervention

387 citations

Journal ArticleDOI
01 Mar 1999

386 citations


Authors

Showing all 13726 results

NameH-indexPapersCitations
Robert Langer2812324326306
Thomas C. Südhof191653118007
David W. Johnson1602714140778
Menachem Elimelech15754795285
Jeffrey L. Cummings148833116067
Bing Zhang121119456980
Arturo Casadevall12098055001
Mark H. Ellisman11763755289
Thomas G. Ksiazek11339846108
Anthony G. Fane11256540904
Leonardo M. Fabbri10956660838
Gary H. Lyman10869452469
Steven C. Hayes10645051556
Stephen P. Long10338446119
Gary Cutter10373740507
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202368
2022222
20211,756
20201,743
20191,514
20181,397