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Institution

University of Nebraska–Lincoln

EducationLincoln, Nebraska, United States
About: University of Nebraska–Lincoln is a education organization based out in Lincoln, Nebraska, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 28059 authors who have published 61544 publications receiving 2139104 citations. The organization is also known as: Nebraska & UNL.


Papers
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Journal ArticleDOI
TL;DR: In this article, a review of methods to estimate yield gaps, with a focus on the local-to-global relevance of outcomes, is presented, based on which the authors recommend key components for a yield gap assessment that can be applied at local to global scales.

1,196 citations

Journal ArticleDOI
TL;DR: In this article, a special issue on bullying and victimization in school psychology review highlights current research efforts in American schools on bullying, peer victimization, and how this research can in
Abstract: This special issue on bullying and victimization in School Psychology Review highlights current research efforts in American schools on bullying and peer victimization, and how this research can in

1,186 citations

Journal ArticleDOI
TL;DR: A theoretical overview of some critical issues relevant to conditioned place preference is provided and it seems clear that CPP measures a learning process that is fundamentally distinct from drug self-administration.
Abstract: Rationale: Among the various experimental protocols that have been used to measure drug reward in laboratory animals, conditioned place preference (CPP) has been one of the most popular. However, a number of controversial issues have surrounded the use of this experimental protocol. Objective: The present review provides a theoretical overview of some critical issues relevant to CPP. The advantages and limitations of CPP are also covered. Results: Based on modern and traditional theoretical formulations of Pavlovian conditioning, CPP appears to reflect a preference for a context due to the contiguous association between the context and a drug stimulus. Within this theoretical framework, it seems clear that CPP measures a learning process that is fundamentally distinct from drug self-administration. The main advantages of CPP are that it: (1) tests animals in a drug-free state; (2) is sensitive to both reward and aversion; (3) allows for simultaneous determination of CPP and locomotor activity; (4) is adaptable to a variety of species; (5) typically yields dose-effect curves that are monophasic rather than biphasic; and (6) has utility in probing the neural circuits involved in drug reward. The main limitations of CPP are that it: (1) is subject to interpretation based on the notion of novelty seeking; (2) is cumbersome for providing the graded dose-effect curves needed for answering some pharmacological questions; (3) is difficult to interpret when animals prefer one context prior to drug conditioning; and (4) lacks face validity as an experimental protocol of drug reward in humans. Conclusion: Despite some limitations, CPP provides unique information about the rewarding effect of contextual cues associated with a drug stimulus.

1,184 citations

Journal ArticleDOI
TL;DR: In this article, the meaning of psychological capital (PsyCap) is defined and a micro-intervention to develop it is presented based on hope, optimism, efficacy, and resiliency development.
Abstract: After first providing the meaning of psychological capital (PsyCap), we present a micro-intervention to develop it. Drawn from hope, optimism, efficacy, and resiliency development, this PsyCap Intervention (PCI) is shown to have preliminary support for not only increasing participants' PsyCap, but also financial impact and high return on investment. Copyright © 2006 John Wiley & Sons, Ltd.

1,161 citations


Authors

Showing all 28272 results

NameH-indexPapersCitations
Donald P. Schneider2421622263641
Suvadeep Bose154960129071
David D'Enterria1501592116210
Aaron Dominguez1471968113224
Gregory R Snow1471704115677
J. S. Keller14498198249
Andrew Askew140149699635
Mitchell Wayne1391810108776
Kenneth Bloom1381958110129
P. de Barbaro1371657102360
Randy Ruchti1371832107846
Ia Iashvili135167699461
Yuichi Kubota133169598570
Ilya Kravchenko132136693639
Andrea Perrotta131138085669
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202393
2022381
20212,809
20202,977
20192,846
20182,854