Institution
University of Nevada, Reno
Education•Reno, Nevada, United States•
About: University of Nevada, Reno is a education organization based out in Reno, Nevada, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 13561 authors who have published 28217 publications receiving 882002 citations. The organization is also known as: University of Nevada & Nevada State University.
Papers published on a yearly basis
Papers
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TL;DR: Transgenic Arabidopsis plants constitutively expressing the Cys2/His2 zinc finger protein Zat7 have suppressed growth and are more tolerant to salinity stress and a deletion or a mutation of the EAR-motif of Z at7 abolishes salinity tolerance without affecting growth suppression.
246 citations
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TL;DR: Steel factor appears important for the development of certain classes of IC, and IC-MY appear to be involved in the generation of electrical rhythmicity in the small intestine.
Abstract: Electrical rhythmicity in the gastrointestinal tract may originate in interstitial cells of Cajal (IC). Development of IC in the small intestine is linked to signaling via the tyrosine kinase recep...
246 citations
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Oak Ridge National Laboratory1, University of Alberta2, Florida International University3, University of Oklahoma4, Agricultural Research Service5, University of Nevada, Reno6, University of Montana7, United States Forest Service8, National Center for Atmospheric Research9, Canada Centre for Remote Sensing10, University of Edinburgh11, University of California, Berkeley12
TL;DR: In this article, the authors evaluated 13 stand-level models varying in their spatial, mechanistic, and temporal properties for their ability to capture intra-and interannual components of the water and carbon cycle for an upland, oak-dominated forest of eastern Tennessee.
Abstract: Models represent our primary method for integration of small-scale, process- level phenomena into a comprehensive description of forest-stand or ecosystem function. They also represent a key method for testing hypotheses about the response of forest ecosystems to multiple changing environmental conditions. This paper describes the eval- uation of 13 stand-level models varying in their spatial, mechanistic, and temporal com- plexity for their ability to capture intra- and interannual components of the water and carbon cycle for an upland, oak-dominated forest of eastern Tennessee. Comparisons between model simulations and observations were conducted for hourly, daily, and annual time steps. Data for the comparisons were obtained from a wide range of methods including: eddy covariance, sapflow, chamber-based soil respiration, biometric estimates of stand-level net primary production and growth, and soil water content by time or frequency domain reflectometry. Response surfaces of carbon and water flux as a function of environmental drivers, and a variety of goodness-of-fit statistics (bias, absolute bias, and model efficiency) were used to judge model performance. A single model did not consistently perform the best at all time steps or for all variables considered. Intermodel comparisons showed good agreement for water cycle fluxes, but considerable disagreement among models for predicted carbon fluxes. The mean of all model outputs, however, was nearly always the best fit to the observations. Not surprisingly, models missing key forest components or processes, such as roots or modeled soil water content, were unable to provide accurate predictions of ecosystem responses to short-term drought phenomenon. Nevertheless, an inability to correctly capture short-term physiolog- ical processes under drought was not necessarily an indicator of poor annual water and carbon budget simulations. This is possible because droughts in the subject ecosystem were of short duration and therefore had a small cumulative impact. Models using hourly time steps and detailed mechanistic processes, and having a realistic spatial representation of the forest ecosystem provided the best predictions of observed data. Predictive ability of all models deteriorated under drought conditions, suggesting that further work is needed to evaluate and improve ecosystem model performance under unusual conditions, such as drought, that are a common focus of environmental change discussions.
246 citations
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TL;DR: Patients with inflammatory arthritis who are undergoing treatment with infliximab appear to be at higher risk for developing symptomatic coccidioidomycosis as compared with those not receiving inflIXimab.
Abstract: Objective
To describe a group of patients who were treated with tumor necrosis factor α (TNFα) antagonists and who developed coccidioidomycosis, and to test the hypothesis that patients with inflammatory arthritis receiving TNFα antagonist therapy are at higher risk for developing symptomatic coccidioidomycosis.
Methods
Cases of coccidioidomycosis were identified and reviewed from among patients receiving TNFα antagonist therapy from May 1998 through February 2003 in 5 practices within the areas endemic for coccidioidomycosis (Arizona, California, and Nevada). In addition, the relative risk of developing symptomatic coccidioidomycosis was calculated in patients with inflammatory arthritis who were receiving treatment with infliximab, in comparison with patients with inflammatory arthritis who were not receiving infliximab, from January 2000 to February 2003 in a single medical center.
Results
Thirteen cases of documented coccidioidomycosis were associated with TNFα antagonist therapy. Twelve cases were associated with the use of infliximab and 1 case with etanercept. Among the cohort of patients from a single medical center, 7 of the 247 patients receiving infliximab and 4 of the 738 patients receiving other therapies developed symptomatic coccidioidomycosis (relative risk 5.23, 95% confidence interval 1.54–17.71; P < 0.01).
Conclusion
Patients with inflammatory arthritis who are undergoing treatment with infliximab appear to be at higher risk for developing symptomatic coccidioidomycosis as compared with those not receiving infliximab.
246 citations
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TL;DR: In this article, the authors present the Swift observations of GRB 090515 and compare it to other gamma-ray bursts (GRBs) in the Swift sample, and suggest it might be energy injection from an unstable millisecond pulsar contributing to their emission.
Abstract: The majority of short gamma-ray bursts (SGRBs) are thought to originate from the merger of compact binary systems collapsing directly to form a black hole. However, it has been proposed that both SGRBs and long gamma-ray bursts (LGRBs) may, on rare occasions, form an unstable millisecond pulsar (magnetar) prior to final collapse. GRB 090515, detected by the Swift satellite was extremely short, with a T90 of 0.036 ± 0.016 s, and had a very low fluence of 2 × 10−8 erg cm−2 and faint optical afterglow. Despite this, the 0.3–10 keV flux in the first 200 s was the highest observed for an SGRB by the Swift X-ray Telescope (XRT). The X-ray light curve showed an unusual plateau and steep decay, becoming undetectable after ∼500 s. This behaviour is similar to that observed in some long bursts proposed to have magnetars contributing to their emission.
In this paper, we present the Swift observations of GRB 090515 and compare it to other gamma-ray bursts (GRBs) in the Swift sample. Additionally, we present optical observations from Gemini, which detected an afterglow of magnitude 26.4 ± 0.1 at T+ 1.7 h after the burst. We discuss potential causes of the unusual 0.3–10 keV emission and suggest it might be energy injection from an unstable millisecond pulsar. Using the duration and flux of the plateau of GRB 090515, we place constraints on the millisecond pulsar spin period and magnetic field.
246 citations
Authors
Showing all 13726 results
Name | H-index | Papers | Citations |
---|---|---|---|
Robert Langer | 281 | 2324 | 326306 |
Thomas C. Südhof | 191 | 653 | 118007 |
David W. Johnson | 160 | 2714 | 140778 |
Menachem Elimelech | 157 | 547 | 95285 |
Jeffrey L. Cummings | 148 | 833 | 116067 |
Bing Zhang | 121 | 1194 | 56980 |
Arturo Casadevall | 120 | 980 | 55001 |
Mark H. Ellisman | 117 | 637 | 55289 |
Thomas G. Ksiazek | 113 | 398 | 46108 |
Anthony G. Fane | 112 | 565 | 40904 |
Leonardo M. Fabbri | 109 | 566 | 60838 |
Gary H. Lyman | 108 | 694 | 52469 |
Steven C. Hayes | 106 | 450 | 51556 |
Stephen P. Long | 103 | 384 | 46119 |
Gary Cutter | 103 | 737 | 40507 |