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
Papers
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University of Glasgow1, VU University Amsterdam2, Stockholm University3, Colorado State University4, Purdue University5, National Park Service6, Exponent7, Utah State University8, Western Washington University9, Canadian Wildlife Service10, State University of New York at Plattsburgh11, California Polytechnic State University12, University of Michigan13, Boise State University14
TL;DR: It is argued that this framework can reveal the presence of ‘sensory danger zones’, hotspots of conservation concern where sensory pollutants overlap in space and time with an organism’s activity, and foster development of strategic interventions to mitigate the impact of sensory pollutants.
Abstract: Global expansion of human activities is associated with the introduction of novel stimuli, such as anthropogenic noise, artificial lights and chemical agents. Progress in documenting the ecological effects of sensory pollutants is weakened by sparse knowledge of the mechanisms underlying these effects. This severely limits our capacity to devise mitigation measures. Here, we integrate knowledge of animal sensory ecology, physiology and life history to articulate three perceptual mechanisms—masking, distracting and misleading—that clearly explain how and why anthropogenic sensory pollutants impact organisms. We then link these three mechanisms to ecological consequences and discuss their implications for conservation. We argue that this framework can reveal the presence of ‘sensory danger zones’, hotspots of conservation concern where sensory pollutants overlap in space and time with an organism’s activity, and foster development of strategic interventions to mitigate the impact of sensory pollutants. Future research that applies this framework will provide critical insight to preserve the natural sensory world.
104 citations
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TL;DR: Data from agglomerated MO NPs suggests that the elemental composition and dissolution potential are major drivers of toxicity, and exposure to dissolved Zn2+ may be a major contributor to ZnO toxicity.
Abstract: Engineered metal oxide nanoparticles (MO NPs) are finding increasing utility in the medical field as anticancer agents. Before validation of in vivo anticancer efficacy can occur, a better understanding of whole-animal toxicity is required. We compared the toxicity of seven widely used semiconductor MO NPs made from zinc oxide (ZnO), titanium dioxide, cerium dioxide and tin dioxide prepared in pure water and in synthetic seawater using a five-day embryonic zebrafish assay. We hypothesized that the toxicity of these engineered MO NPs would depend on physicochemical properties. Significant agglomeration of MO NPs in aqueous solutions is common making it challenging to associate NP characteristics such as size and charge with toxicity. However, data from our agglomerated MO NPs suggests that the elemental composition and dissolution potential are major drivers of toxicity. Only ZnO caused significant adverse effects of all MO particles tested, and only when prepared in pure water (point estimate median lethal concentration = 3.5-9.1 mg/L). This toxicity was life stage dependent. The 24 h toxicity increased greatly (~22.7 fold) when zebrafish exposures started at the larval life stage compared to the 24 hour toxicity following embryonic exposure. Investigation into whether dissolution could account for ZnO toxicity revealed high levels of zinc ion (40-89% of total sample) were generated. Exposure to zinc ion equivalents revealed dissolved Zn2+ may be a major contributor to ZnO toxicity.
104 citations
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TL;DR: A stochastic event reconstruction capability that can process information from an environmental sensor network is developed and a probability model is proposed to take into account both zero and non-zero concentration measurements that can be available from a sensor network because of a sensor's specified limit of detection.
104 citations
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TL;DR: In this article, a 3-D transient hydraulic tomography (3-D THT) field experiment at the Boise Hydrogeophysical Research Site is presented, which is different from prior approaches in that it represents a ‘‘baseline’ analysis of THT performance using only a single arrangement of a central pumping well and five observation wells with nearly complete pumping and observation coverage at 1 m intervals.
Abstract: [1] 3-D Hydraulic tomography (3-D HT) is a method for aquifer characterization whereby the 3-D spatial distribution of aquifer flow parameters (primarily hydraulic conductivity, K) is estimated by joint inversion of head change data from multiple partially penetrating pumping tests. While performance of 3-D HT has been studied extensively in numerical experiments, few field studies have demonstrated the real-world performance of 3-D HT. Here we report on a 3-D transient hydraulic tomography (3-D THT) field experiment at the Boise Hydrogeophysical Research Site which is different from prior approaches in that it represents a ‘‘baseline’’ analysis of 3-D THT performance using only a single arrangement of a central pumping well and five observation wells with nearly complete pumping and observation coverage at 1 m intervals. We jointly analyze all pumping tests using a geostatistical approach based on the quasi-linear estimator of Kitanidis (1995). We reanalyze the system after progressively removing pumping and/or observation intervals; significant progressive loss of information about heterogeneity is quantified as reduced variance of the K field overall, reduced correlation with slug test K estimates at wells, and reduced ability to accurately predict independent pumping tests. We verify that imaging accuracy is strongly improved by pumping and observational densities comparable to the aquifer heterogeneity geostatistical correlation lengths. Discrepancies between K profiles at wells, as obtained from HT and slug tests, are greatest at the tops and bottoms of wells where HT observation coverage was lacking.
104 citations
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TL;DR: Results indicated trust management significantly promoted fundraising performance via central (entrepreneur’s creditworthiness) and peripheral (Entrepreneur-sponsor interactions) routes.
Abstract: Purpose – The purpose of this paper is to investigate the role of trust management on the fundraising performance in reward-based crowdfunding. Design/methodology/approach – A research model was constructed based on elaboration likelihood model (ELM) and literatures with five hypotheses developed. Data were collected from www.demohour.com - the first and one of the largest reward-based crowdfunding platforms in China. In total, 829 reward-based crowdfunding projects were analyzed to test hypotheses. To test the hypotheses, partial least squares was used to analyze data of entrepreneur/sponsor profiles, entrepreneur/sponsor behaviors, and crowdfunding projects. Findings – Results indicated trust management significantly promoted fundraising performance via central (entrepreneur’s creditworthiness) and peripheral (entrepreneur-sponsor interactions) routes. The peripheral route (entrepreneur-sponsor interaction) showed significantly higher effects than the central route (entrepreneur’s creditworthiness). The...
104 citations
Authors
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Name | H-index | Papers | Citations |
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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 |