Institution
Boise State University
Education•Boise, Idaho, United States•
About: Boise State University is a education organization based out in Boise, Idaho, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 3698 authors who have published 8664 publications receiving 210163 citations. The organization is also known as: BSU & Boise State.
Topics: Population, Poison control, Educational technology, Snow, Zircon
Papers published on a yearly basis
Papers
More filters
••
TL;DR: In this paper, the authors evaluated the efficacy of a web-based personalized normative feedback program targeting heavy drinking in first-year intercollegiate athletes and found that high-risk athletes receiving the intervention reported significantly greater reductions in heavy drinking than those in the comparison group.
Abstract: This study evaluated the efficacy of a web-based personalized normative feedback program targeting heavy drinking in first-year intercollegiate athletes. The program was offered through the Athletic Department first-year seminar at a National Collegiate Athletic Association (NCAA) Division I university. Athletes were randomly assigned to either a web-based feedback group or a comparison condition. Results indicated high-risk athletes receiving the intervention reported significantly greater reductions in heavy drinking than those in the comparison group. Additionally, intervention effects were mediated by changes in perceptions of peer drinking. Findings support the use of web-based normative feedback for reducing heavy drinking in first-year intercollegiate athletes.
57 citations
••
TL;DR: In this paper, the authors used scanning transmission electron microscopy (STEM), electron energy loss spectroscopy (EELS) and energy filtered TEM (EFTEM) to identify the presence of silver at triple points and grain boundaries of the SiC layer in the TRISO particle.
56 citations
••
TL;DR: In this paper, the results of Raman spectroscopy studies of lattice dynamics and phase transitions in ferroelectric thin films and superlattices are reviewed, and the application of ultraviolet Raman Spectroscopy for studies of nanoscale Ferroelectric heterostructures, such as BaTiO3/SrTiOO3 super lattices, is demonstrated.
Abstract: Recent results of Raman spectroscopy studies of lattice dynamics and phase transitions in ferroelectric thin films and superlattices are reviewed. Raman studies of SrTiO3, BaTiO3, and BaxSr1−xTiO3 thin films in comparison with corresponding single crystals are presented; essential differences in the lattice dynamics behavior of thin films and single crystals are discussed. Application of ultraviolet Raman spectroscopy for studies of nanoscale ferroelectric heterostructures, such as BaTiO3/SrTiO3 superlattices, is demonstrated.
56 citations
••
TL;DR: In this paper, a combination of upward looking ground-penetrating radar and conventional snow height sensors enable continuous, nondestructive determinations of liquid water content in natural snow covers from first surficial wetting until shortly before melt out.
Abstract: Evaluating and improving snow models and outflow predictions for hydrological applications is hindered by the lack of continuous data on bulk volumetric liquid water content (θw) and storage capacity of the melting snowpack. The combination of upward looking ground-penetrating radar and conventional snow height sensors enable continuous, nondestructive determinations of θw in natural snow covers from first surficial wetting until shortly before melt out. We analyze diurnal and seasonal cycles of θw for 4 years in a flat study site and for three melt seasons on slopes and evaluate model simulations for two different water transport schemes in the snow cover model SNOWPACK. Observed maximum increases in θw during a day are below 1.7 vol % (90th percentile) at the flat site. Concerning seasonal characteristics of θw, less than 10% of recorded data exceed 5 vol % at the flat site and 3.5 vol % at slopes. Both water transport schemes in SNOWPACK underestimate maximum θw at the flat site systematically for all observed melt seasons, while simulated θw maxima on slopes are accurate. Implementing observed changes in θw per day in outflow predictions increases model performance toward higher agreement with lysimeter measurements. Hence, continuously monitoring θw improves our understanding of liquid water percolation and retention in snow, which is highly relevant for several aspects of the cryosphere such as avalanche formation, catchment hydrology, and ice sheet mass balances.
56 citations
••
TL;DR: The observation of ultrahigh third-order nonlinearity about 0.45 cm2/GW in graphene oxide thin films at the telecommunication wavelength region, which is four orders of magnitude higher than that of single crystalline silicon, can potentially significantly advance the performance of all-optical switches.
Abstract: All-optical switches have been considered as a promising solution to overcome the fundamental speed limit of the current electronic switches. However, the lack of a suitable third-order nonlinear material greatly hinders the development of this technology. Here we report the observation of ultrahigh third-order nonlinearity about 0.45 cm2/GW in graphene oxide thin films at the telecommunication wavelength region, which is four orders of magnitude higher than that of single crystalline silicon. Besides, graphene oxide is water soluble and thus easy to process due to the existence of oxygen containing groups. These unique properties can potentially significantly advance the performance of all-optical switches.
56 citations
Authors
Showing all 3902 results
Name | H-index | Papers | Citations |
---|---|---|---|
Jeffrey G. Andrews | 110 | 562 | 63334 |
Zhu Han | 109 | 1407 | 48725 |
Brian R. Flay | 89 | 325 | 26390 |
Jeffrey W. Elam | 83 | 435 | 24543 |
Pramod K. Varshney | 79 | 894 | 30834 |
Scott Fendorf | 79 | 244 | 21035 |
Gregory F. Ball | 76 | 342 | 21193 |
Yan Wang | 72 | 1253 | 30710 |
David C. Dunand | 72 | 527 | 19212 |
Juan Carlos Diaz-Velez | 64 | 334 | 14252 |
Michael K. Lindell | 62 | 186 | 19865 |
Matthew J. Kohn | 62 | 164 | 13741 |
Maged Elkashlan | 61 | 294 | 14736 |
Bernard Yurke | 58 | 242 | 17897 |
Miguel Ferrer | 58 | 478 | 11560 |