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 U-Pb systematics of zircon and xenotime on the single-to sub-grain scale by high-precision ID-TIMS geochronology on 11 rock samples ranging from 0.1 to 3.3 Ga.
418 citations
••
TL;DR: A simple nonparametric modeling technique and an algorithm implementing it—an improved and generalized version of Bayesian Blocks [Scargle 1998]—that finds the optimal segmentation of the data in the observation interval are presented.
Abstract: This paper addresses the problem of detecting and characterizing local variability in time series and other forms of sequential data. The goal is to identify and characterize statistically significant variations, at the same time suppressing the inevitable corrupting observational errors. We present a simple nonparametric modeling technique and an algorithm implementing it—an improved and generalized version of Bayesian Blocks [Scargle 1998]—that finds the optimal segmentation of the data in the observation interval. The structure of the algorithm allows it to be used in either a real-time trigger mode, or a retrospective mode. Maximum likelihood or marginal posterior functions to measure model fitness are presented for events, binned counts, and measurements at arbitrary times with known error distributions. Problems addressed include those connected with data gaps, variable exposure, extension to piecewise linear and piecewise exponential representations, multi-variate time series data, analysis of variance, data on the circle, other data modes, and dispersed data. Simulations provide evidence that the detection efficiency for weak signals is close to a theoretical asymptotic limit derived by [Arias-Castro, Donoho and Huo 2003]. In the spirit of Reproducible Research [Donoho et al. (2008)] all of the code and data necessary to reproduce all of the figures in this paper are included as auxiliary material.
417 citations
••
TL;DR: The enormous progress of dynamic DNA nanotechnology over the past years seems poised for practical application, with toehold-mediated strand displacement reactions used with ever increasing sophistication.
Abstract: Dynamic DNA nanotechnology, a subfield of DNA nanotechnology, is concerned with the study and application of nucleic acid strand-displacement reactions. Strand-displacement reactions generally proceed by three-way or four-way branch migration and initially were investigated for their relevance to genetic recombination. Through the use of toeholds, which are single-stranded segments of DNA to which an invader strand can bind to initiate branch migration, the rate with which strand displacement reactions proceed can be varied by more than 6 orders of magnitude. In addition, the use of toeholds enables the construction of enzyme-free DNA reaction networks exhibiting complex dynamical behavior. A demonstration of this was provided in the year 2000, in which strand displacement reactions were employed to drive a DNA-based nanomachine (Yurke, B.; et al. Nature 2000, 406, 605–608). Since then, toehold-mediated strand displacement reactions have been used with ever increasing sophistication and the field of dynam...
413 citations
••
Northern Kentucky University1, Boise State University2, Arizona State University3, Chinese Academy of Sciences4, North Carolina State University5, United States Forest Service6, University of Vermont7, University of California, Santa Barbara8, Ohio University9, Florida International University10, University of California, Los Angeles11, University of Utah12, University of Washington13, University of California, Davis14
TL;DR: It is suggested that a suite of variables, including income, contribute to the distribution of UTC cover, and can help target simultaneous strategies for UTC goals and environmental justice concerns.
Abstract: This study examines the distributional equity of urban tree canopy (UTC) cover for Baltimore, MD, Los Angeles, CA, New York, NY, Philadelphia, PA, Raleigh, NC, Sacramento, CA, and Washington, D.C. using high spatial resolution land cover data and census data. Data are analyzed at the Census Block Group levels using Spearman’s correlation, ordinary least squares regression (OLS), and a spatial autoregressive model (SAR). Across all cities there is a strong positive correlation between UTC cover and median household income. Negative correlations between race and UTC cover exist in bivariate models for some cities, but they are generally not observed using multivariate regressions that include additional variables on income, education, and housing age. SAR models result in higher r-square values compared to the OLS models across all cities, suggesting that spatial autocorrelation is an important feature of our data. Similarities among cities can be found based on shared characteristics of climate, race/ethnicity, and size. Our findings suggest that a suite of variables, including income, contribute to the distribution of UTC cover. These findings can help target simultaneous strategies for UTC goals and environmental justice concerns.
409 citations
••
TL;DR: In this article, the authors review a substantial literature detailing the impacts of noise on wildlife and provide a conceptual framework to guide future research, and discuss how several likely impacts of exposure have yet to be rigorously studied and outline how behavioral responses to noise are linked to the nature of the noise stimulus.
Abstract: Anthropogenic noise is an important environmental stressor that is rapidly gaining attention among biologists, resource managers, and policy makers. Here we review a substantial literature detailing the impacts of noise on wildlife and provide a conceptual framework to guide future research. We discuss how several likely impacts of noise exposure have yet to be rigorously studied and outline how behavioral responses to noise are linked to the nature of the noise stimulus. Chronic and frequent noise interferes with animals' abilities to detect important sounds, whereas intermittent and unpredictable noise is often perceived as a threat. Importantly, these effects can lead to fitness costs, either directly or indirectly. Future research should consider the range of behavioral and physiological responses to this burgeoning pollutant and pair measured responses with metrics that appropriately characterize noise stimuli. This will provide a greater understanding of the mechanisms that govern wildlife responses...
408 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 |