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Institution

University of California, Riverside

EducationRiverside, California, United States
About: University of California, Riverside is a education organization based out in Riverside, California, United States. It is known for research contribution in the topics: Population & Galaxy. The organization has 22633 authors who have published 56043 publications receiving 2442037 citations. The organization is also known as: UC Riverside & UCR.


Papers
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Journal ArticleDOI
TL;DR: The extremely high value of the thermal conductivity suggests that graphene can outperform carbon nanotubes in heat conduction and establishes graphene as an excellent material for thermal management.
Abstract: We report the measurement of the thermal conductivity of a suspended single-layer graphene. The room temperature values of the thermal conductivity in the range ∼(4.84 ± 0.44) × 103 to (5.30 ± 0.48) × 103 W/mK were extracted for a single-layer graphene from the dependence of the Raman G peak frequency on the excitation laser power and independently measured G peak temperature coefficient. The extremely high value of the thermal conductivity suggests that graphene can outperform carbon nanotubes in heat conduction. The superb thermal conduction property of graphene is beneficial for the proposed electronic applications and establishes graphene as an excellent material for thermal management.

11,878 citations

Journal ArticleDOI
TL;DR: The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of prevalence, incidence, and years lived with disability (YLDs) for 328 causes in 195 countries and territories from 1990 to 2016.

10,401 citations

Journal ArticleDOI
TL;DR: In this paper, results from searches for the standard model Higgs boson in proton-proton collisions at 7 and 8 TeV in the CMS experiment at the LHC, using data samples corresponding to integrated luminosities of up to 5.8 standard deviations.

8,857 citations

Journal ArticleDOI
TL;DR: The results reveal that happiness is associated with and precedes numerous successful outcomes, as well as behaviors paralleling success, and the evidence suggests that positive affect may be the cause of many of the desirable characteristics, resources, and successes correlated with happiness.
Abstract: Numerous studies show that happy individuals are successful across multiple life domains, including marriage, friendship, income, work performance, and health. The authors suggest a conceptual model to account for these findings, arguing that the happiness-success link exists not only because success makes people happy, but also because positive affect engenders success. Three classes of evidence--crosssectional, longitudinal, and experimental--are documented to test their model. Relevant studies are described and their effect sizes combined meta-analytically. The results reveal that happiness is associated with and precedes numerous successful outcomes, as well as behaviors paralleling success. Furthermore, the evidence suggests that positive affect--the hallmark of well-being--may be the cause of many of the desirable characteristics, resources, and successes correlated with happiness. Limitations, empirical issues, and important future research questions are discussed.

5,713 citations

Journal ArticleDOI
28 Aug 2015-Science
TL;DR: A large-scale assessment suggests that experimental reproducibility in psychology leaves a lot to be desired, and correlational tests suggest that replication success was better predicted by the strength of original evidence than by characteristics of the original and replication teams.
Abstract: Reproducibility is a defining feature of science, but the extent to which it characterizes current research is unknown. We conducted replications of 100 experimental and correlational studies published in three psychology journals using high-powered designs and original materials when available. Replication effects were half the magnitude of original effects, representing a substantial decline. Ninety-seven percent of original studies had statistically significant results. Thirty-six percent of replications had statistically significant results; 47% of original effect sizes were in the 95% confidence interval of the replication effect size; 39% of effects were subjectively rated to have replicated the original result; and if no bias in original results is assumed, combining original and replication results left 68% with statistically significant effects. Correlational tests suggest that replication success was better predicted by the strength of original evidence than by characteristics of the original and replication teams.

5,532 citations


Authors

Showing all 22858 results

NameH-indexPapersCitations
Yi Chen2174342293080
Anton M. Koekemoer1681127106796
Hongfang Liu1662356156290
Jian-Kang Zhu161550105551
Dongyuan Zhao160872106451
Menachem Elimelech15754795285
Jay Hauser1552145132683
Gordon H. Hanson1521434119422
Aaron Dominguez1471968113224
Peter Capak14767970483
A. Paul Alivisatos146470101741
Brajesh C Choudhary1431618108058
Manfred Paulini1411791110930
J. Conway1401692105213
Stephen Wimpenny1381489104084
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023106
2022403
20213,011
20203,097
20192,925
20182,768