2,626 research outputs found

    The Language of Bias: A Linguistic Approach to Understanding Intergroup Relations

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    [Excerpt] This chapter explores the role of language in the relationship between diversity and team performance. Specifically, we consider how a linguistic approach to social categorization may be used to study the social psychological mechanisms that underlie diversity effects. Using the results of a study examining the effects of gender, ethnicity and tenure on language abstraction, we consider the potential implications for team processes and effectiveness. In addition, we propose a revised team input-process-output model that highlights the potential effects of language on team processes. We conclude by suggesting directions for future research linking diversity, linguistic categorization and team effectiveness

    Measurements at low energies of the polarization-transfer coefficient Kyy' for the reaction 3H(p,n)3He at 0 degrees

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    Measurements of the transverse polarization coefficient Kyy' for the reaction 3H(p,n)3He are reported for outgoing neutron energies of 1.94, 5.21, and 5.81 MeV. This reaction is important both as a source of polarized neutrons for nuclear physics experiments, and as a test of theoretical descriptions of the nuclear four-body system. Comparison is made to previous measurements, confirming the 3H(p,n)3He reaction can be used as a polarized neutron source with the polarization known to an accuracy of approximately 5%. Comparison to R-matrix theory suggests that the sign of the 3F3 phase-shift parameter is incorrect. Changing the sign of this parameter dramatically improves the agreement between theory and experiment.Comment: 12 pages, RevTeX, 5 eps figures, submitted to Phys. Rev.

    Automated classification of three-dimensional reconstructions of coral reefs using convolutional neural networks

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    © The Author(s), 2020. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Hopkinson, B. M., King, A. C., Owen, D. P., Johnson-Roberson, M., Long, M. H., & Bhandarkar, S. M. Automated classification of three-dimensional reconstructions of coral reefs using convolutional neural networks. PLoS One, 15(3), (2020): e0230671, doi: 10.1371/journal.pone.0230671.Coral reefs are biologically diverse and structurally complex ecosystems, which have been severally affected by human actions. Consequently, there is a need for rapid ecological assessment of coral reefs, but current approaches require time consuming manual analysis, either during a dive survey or on images collected during a survey. Reef structural complexity is essential for ecological function but is challenging to measure and often relegated to simple metrics such as rugosity. Recent advances in computer vision and machine learning offer the potential to alleviate some of these limitations. We developed an approach to automatically classify 3D reconstructions of reef sections and assessed the accuracy of this approach. 3D reconstructions of reef sections were generated using commercial Structure-from-Motion software with images extracted from video surveys. To generate a 3D classified map, locations on the 3D reconstruction were mapped back into the original images to extract multiple views of the location. Several approaches were tested to merge information from multiple views of a point into a single classification, all of which used convolutional neural networks to classify or extract features from the images, but differ in the strategy employed for merging information. Approaches to merging information entailed voting, probability averaging, and a learned neural-network layer. All approaches performed similarly achieving overall classification accuracies of ~96% and >90% accuracy on most classes. With this high classification accuracy, these approaches are suitable for many ecological applications.This study was funded by grants from the Alfred P. Sloan Foundation (BMH, BR2014-049; https://sloan.org), and the National Science Foundation (MHL, OCE-1657727; https://www.nsf.gov). The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript

    Measurements of the Total Cross Section for the Scattering of Polarized Neutrons from Polarized 3^3He

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    Measurements of polarized neutron--polarized 3^3He scattering are reported. The target consisted of cryogenically-polarized solid 3^3He, thickness 0.04 atom/b and polarization 40%. The longitudinal and transverse total cross-section differences ΔσL\Delta\sigma_L and ΔσT\Delta\sigma_T were measured for incident neutron energies 2-8 MeV. The results are compared to phase-shift predictions based on four different analyses of n-3^3He scattering. The best agreement is obtained with a recent R-matrix analysis of A=4 scattering and reaction data, lending strong suport to the 4^4He level scheme obtained in that analysis.Comment: 19 pages RevTeX style, 5 postscript figures, excepted for publication in the Aug96 issue of Phys. Rev. C. Revised version includes correct version of 1 postscript figur

    Coastal River Basins Water Resource Assessment An Evaluation of Water Use and Availability in Seven Coastal River Basins

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    Georgia has experienced a persistent drought for the last four years. While the drought conditions have subsided, the need for effective river basin planning continues. Effective water planning for our river basins will ensure adequate resource availability for the immediate future as well as over the long run.Basin planning consists of four primary steps: 1) understanding current and future water demands, 2) understanding existing resources (water supply), 3) anticipating potential shortfalls and other issues that might arise from the discrepancies between supply and demand, and 4) devising policy solutions which adequately resolve items identified in step 3).This report explores the available data for water demands and supplies across the seven river basins that make up the coastal region served by the Coastal Rivers Water Planning and Policy Center at Georgia Southern University. The permit issuing and water use reporting processes have made it difficult to accurately estimate water demand across the region. Moreover, the river data is sparse, sporadic, and insufficient to determine the unimpaired flows for any of our rivers. Our intent is to highlight the areas for future data collection such that our state policy makers may successfully establish river basin water use plans that ensure sustainable economic growth, with minimal environmental impacts. Working Paper # 2003-00

    Transcriptome of the Caribbean stony coral Porites astreoides from three developmental stages

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    © The Author(s), 2016. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in GigaScience 5 (2016): 33, doi:10.1186/s13742-016-0138-1.Porites astreoides is a ubiquitous species of coral on modern Caribbean reefs that is resistant to increasing temperatures, overfishing, and other anthropogenic impacts that have threatened most other coral species. We assembled and annotated a transcriptome from this coral using Illumina sequences from three different developmental stages collected over several years: free-swimming larvae, newly settled larvae, and adults (>10 cm in diameter). This resource will aid understanding of coral calcification, larval settlement, and host–symbiont interactions. A de novo transcriptome for the P. astreoides holobiont (coral plus algal symbiont) was assembled using 594 Mbp of raw Illumina sequencing data generated from five age-specific cDNA libraries. The new transcriptome consists of 867 255 transcript elements with an average length of 685 bases. The isolated P. astreoides assembly consists of 129 718 transcript elements with an average length of 811 bases, and the isolated Symbiodinium sp. assembly had 186 177 transcript elements with an average length of 1105 bases. This contribution to coral transcriptome data provides a valuable resource for researchers studying the ontogeny of gene expression patterns within both the coral and its dinoflagellate symbiont.Bioinformatic analysis was performed in part on computing resources at the University of Puerto Rico (UPR) Puerto Rico Center for Environmental Neuroscience (PRCEN)’s High Performance Computing Facility, which is supported by: Institutional Development Award Networks of Biomedical Research Excellent (INBRE) grant P20GM103475 from the National Institute of General Medical Sciences, National Institutes of Health; the Institute for Functional Nanomaterials (IFN) award from the Experimental Program to Stimulate Competitive Research (EPSCoR) Track 1 program of the National Science Foundation (NSF); and EPSCoR Track 2 awards for computational nanoscience (EPS 1002410, EPS 1010094). Funding and support of the research was provided by PRCEN thanks to an NSF Centers of Research Excellent in Science and Technology (CREST) award, number HRD-1137725
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