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 & Computer science. The organization has 3698 authors who have published 8664 publications receiving 210163 citations. The organization is also known as: BSU & Boise State.
Topics: Population, Computer science, Poison control, Context (language use), Educational technology
Papers published on a yearly basis
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19 Mar 2013
148 citations
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TL;DR: In this article, the discovery of room-temperature ferromagnetic magnetism in nanoparticles at room temperature was reported, and the coercivity of the nanoparticles was shown to be in the range of 0.3em-0ex.
Abstract: This work reports the discovery of room-temperature ferromagnetism in $5\char21{}9\phantom{\rule{0.3em}{0ex}}\mathrm{nm}$ sized ${\mathrm{Ce}}_{1\ensuremath{-}x}{\mathrm{Ni}}_{x}{\mathrm{O}}_{2}$ nanoparticles $(0.01\ensuremath{\leqslant}x\ensuremath{\leqslant}0.20)$ prepared using a sol-gel based chemical method at room temperature and under ambient conditions. Particle induced x-ray emission studies were used to determine the dopant concentrations. Magnetic measurements of the chemically synthesized ${\mathrm{Ce}}_{1\ensuremath{-}x}{\mathrm{Ni}}_{x}{\mathrm{O}}_{2}$ samples at room temperature showed coercivity in the $40\char21{}120\phantom{\rule{0.3em}{0ex}}\mathrm{Oe}$ range, and the saturation magnetization showed a maximum of $1.21\phantom{\rule{0.3em}{0ex}}\mathrm{memu}∕\mathrm{g}$ ($8.59\ifmmode\times\else\texttimes\fi{}{10}^{\ensuremath{-}4}\phantom{\rule{0.3em}{0ex}}{\ensuremath{\mu}}_{B}∕\mathrm{Ni}$ ion) for $x=0.04$. Average crystallite sizes and lattice parameters estimated from x-ray diffraction and transmission electron microscopy studies showed a gradual decrease with $x$ in the entire doping range, while the lattice strain showed a minimum for $x=0.04$. Optical studies revealed direct band gap energies ranging from $3.23\phantom{\rule{0.3em}{0ex}}\text{to}\phantom{\rule{0.3em}{0ex}}3.99\phantom{\rule{0.3em}{0ex}}\mathrm{eV}$ with a minimum for $x=0.04$. A high Curie temperature of ${T}_{C}=665\phantom{\rule{0.3em}{0ex}}\mathrm{K}$ was obtained for $x=0.03$.
148 citations
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TL;DR: In this paper, the relationship between soil depth and topographic and land cover attributes was investigated for predicting soil depth in a semiarid mountainous watershed that are based upon the relationship this paper.
Abstract: [1] Soil depth is an important input parameter in hydrological and ecological modeling. Presently, the soil depth data available in national soil databases (STATSGO and SSURGO) from the Natural Resources Conservation Service are provided as averages within generalized land units (map units). Spatial uncertainty within these units limits their applicability for distributed modeling in complex terrain. This work reports statistical models for prediction of soil depth in a semiarid mountainous watershed that are based upon the relationship between soil depth and topographic and land cover attributes. Soil depth was surveyed by driving a rod into the ground until refusal at locations selected to represent the topographic and land cover variation in the Dry Creek Experimental Watershed near Boise, Idaho. The soil depth survey consisted of a model calibration set, measured at 819 locations over 8 subwatersheds representing topographic and land cover variability and a model testing set, measured at 130 more broadly distributed locations in the watershed. Many model input variables were developed for regression to the field data. Topographic attributes were derived from a digital elevation model. Land cover attributes were derived from Landsat remote sensing images and high-resolution aerial photographs. Generalized additive and random forests models were developed to predict soil depth over the watershed. They were able to explain about 50% of the soil depth spatial variation, which is an important improvement over the soil depth extracted from the SSURGO national soil database.
148 citations
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TL;DR: The present research found consistent support for the relation between mother-teen communications and drinking beliefs relevant to binge-drinking consequences in 266 incoming freshman college students.
Abstract: The present research contrasted theoretical models depicting the nature of the relation among drinking beliefs, drinking tendencies, and behavioral consequences in 266 incoming freshman college students. It also examined the theoretical relations between mother-teen communications and drinking beliefs relevant to behavioral consequences. The findings revealed direct relations between binge-drinking consequences and the drinking beliefs: Alcohol can make positive transformations, can enhance social behavior, and can increase negative affect and normative approval. Direct relations were not observed between consequences and the drinking beliefs regarding physical risk and health orientation. Finally, the present research found consistent support for the relation between mother-teen communications and drinking beliefs relevant to binge-drinking consequences.
147 citations
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TL;DR: In this article, the authors assess whether the adoption of a participatory budgeting (PB) program is associated with changes in social spending or changes in several indicators of well-being, finding that PB municipalities spend a slightly higher share of their budget on health and education programs, but there is little evidence that this shift in budget priorities affects measurable outcomes.
147 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 |