Institution
Mississippi State University
Education•Starkville, Mississippi, United States•
About: Mississippi State University is a education organization based out in Starkville, Mississippi, United States. It is known for research contribution in the topics: Population & Catfish. The organization has 14115 authors who have published 28594 publications receiving 700030 citations. The organization is also known as: The Mississippi State University of Agriculture and Applied Science & Mississippi State University of Agriculture and Applied Science.
Papers published on a yearly basis
Papers
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TL;DR: This study analysed black bear data collected with 123 hair snares with an SCR model accounting for differences in detection and movement between sexes and across the trapping occasions and found that results were similar across trap arrays, except when only 20% of the array was used.
Abstract: When estimating population density from data collected on non-invasive detector arrays, recently developed spatial capture-recapture (SCR) models present an advance over non-spatial models by accounting for individual movement. While these models should be more robust to changes in trapping designs, they have not been well tested. Here we investigate how the spatial arrangement and size of the trapping array influence parameter estimates for SCR models. We analysed black bear data collected with 123 hair snares with an SCR model accounting for differences in detection and movement between sexes and across the trapping occasions. To see how the size of the trap array and trap dispersion influence parameter estimates, we repeated analysis for data from subsets of traps: 50% chosen at random, 50% in the centre of the array and 20% in the South of the array. Additionally, we simulated and analysed data under a suite of trap designs and home range sizes. In the black bear study, we found that results were similar across trap arrays, except when only 20% of the array was used. Black bear density was approximately 10 individuals per 100 km2. Our simulation study showed that SCR models performed well as long as the extent of the trap array was similar to or larger than the extent of individual movement during the study period, and movement was at least half the distance between traps. SCR models performed well across a range of spatial trap setups and animal movements. Contrary to non-spatial capture-recapture models, they do not require the trapping grid to cover an area several times the average home range of the studied species. This renders SCR models more appropriate for the study of wide-ranging mammals and more flexible to design studies targeting multiple species.
173 citations
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TL;DR: A conceptual base for understanding why markets for sharing catastrophic risks may be incomplete and/or inefficient is presented and an alternative is introduced where the government would write risk options for specific perils.
Abstract: Catastrophic or systemic risks are a major challenge for the farm and food system and rural communities. Private sector markets for sharing catastrophic risks are limited, but less so than in the past. This article presents a conceptual base for understanding why markets for sharing catastrophic risks may be incomplete and/or inefficient. Next, federal efforts to address catastrophic risk losses are reviewed. Finally, new capital market developments are presented and an alternative is introduced where the government would write risk options for specific perils.
173 citations
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20 May 2013
TL;DR: This paper compares several implementations of LULESH, a proxy application for shock hydrodynamics, to determine strengths and weaknesses of different programming models for parallel computation, and focuses on four traditional (OpenMP, MPI,MPI+OpenMP+, CUDA) and four emerging (Chapel, Charm++, Liszt, Loci) programming models.
Abstract: Parallel machines are becoming more complex with increasing core counts and more heterogeneous architectures. However, the commonly used parallel programming models, C/C++ with MPI and/or OpenMP, make it difficult to write source code that is easily tuned for many targets. Newer language approaches attempt to ease this burden by providing optimization features such as automatic load balancing, overlap of computation and communication, message-driven execution, and implicit data layout optimizations. In this paper, we compare several implementations of LULESH, a proxy application for shock hydrodynamics, to determine strengths and weaknesses of different programming models for parallel computation. We focus on four traditional (OpenMP, MPI, MPI+OpenMP, CUDA) and four emerging (Chapel, Charm++, Liszt, Loci) programming models. In evaluating these models, we focus on programmer productivity, performance and ease of applying optimizations.
173 citations
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TL;DR: In this paper, the authors explored farmer decision-making in the context of reducing the application of nitrogen fertilizer as a climate change mitigation strategy and assessed barriers to reduced application and participating in a potential offsets program.
173 citations
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University of Science and Technology of China1, University of Illinois at Urbana–Champaign2, Thomas Jefferson National Accelerator Facility3, Massachusetts Institute of Technology4, California State University, Los Angeles5, University of Glasgow6, College of William & Mary7, Duquesne University8, Old Dominion University9, University of Virginia10, Hampton University11, Duke University12, Istituto Superiore di Sanità13, University of Bari14, University of Kentucky15, Mississippi State University16, Rutgers University17, Kharkov Institute of Physics and Technology18, Los Alamos National Laboratory19, Longwood University20, Brookhaven National Laboratory21, Cairo University22, Kyungpook National University23, Kent State University24, University of New Hampshire25, Florida International University26, University of Massachusetts Amherst27, Temple University28, University of Auvergne29, Seoul National University30, Carnegie Mellon University31, California Institute of Technology32, Syracuse University33, University of Ljubljana34, Lanzhou University35
TL;DR: In this article, the first measurement of target single spin asymmetries in the semi-inclusive ^3He(e,e^′π^±)X reaction on a transversely polarized target was reported.
Abstract: We report the first measurement of target single spin asymmetries in the semi-inclusive ^3He(e,e^′π^±)X reaction on a transversely polarized target The experiment, conducted at Jefferson Lab using a 59 GeV electron beam, covers a range of 016
173 citations
Authors
Showing all 14277 results
Name | H-index | Papers | Citations |
---|---|---|---|
Naomi J. Halas | 140 | 435 | 82040 |
Bin Liu | 138 | 2181 | 87085 |
Shuai Liu | 129 | 1095 | 80823 |
Vijay P. Singh | 106 | 1699 | 55831 |
Liangpei Zhang | 97 | 839 | 35163 |
K. L. Dooley | 95 | 320 | 63579 |
Feng Chen | 95 | 2138 | 53881 |
Marco Cavaglia | 93 | 372 | 60157 |
Tuan Vo-Dinh | 86 | 698 | 24690 |
Nicholas H. Barton | 84 | 267 | 32707 |
S. Kandhasamy | 81 | 235 | 50363 |
Michael S. Sacks | 80 | 386 | 20510 |
Dinesh Mohan | 79 | 283 | 35775 |
James Mallet | 78 | 209 | 21349 |
George D. Kuh | 77 | 248 | 30346 |