67,704 research outputs found
President Gene R. Nichol Resignation and Response Collection Images
No full textThe Special Collections Research Center continues to document events related to the term of President Nichol and his resignation. Those interested in assisting with the documentation should contact the department at [email protected] or 757.221.3090.President Gene Nichol resigned as president of the College of William and Mary on February 12, 2008. The photos here are from the faculty and student rally in the Sunken Garden on February 12, 2008 and of Kathleen Brasington, class of 2008, riding her bicycle outside of the Daily Grind in William and Mary cycling gear on February 13, 2008.Special Collections Research Center, Earl Gregg Swem Librar
Advertising Flyer for God\u27s Woman by Charles Ready Nichol, 1938
No full textA flyer advertising Nichols\u27 1938 book, God\u27s Woman published both by Mrs. C. R. Nichol and Wm. B. Eerdmans Publishing Company. This flyer contains testimonials commending the book by some of the most notable evangelists, editors, educators and preachers among Churches of Christ: W. L. Oliphant, T. E. Milholland, G. H. P. Showalter, Leslie G. Thomas, R. L. Whiteside, N. B. Hardeman, Guy N. Woods and Gus Nichols. Nichol\u27s book argued for expanded speaking roles for women in the assembly and deaconesses.https://digitalcommons.acu.edu/sc_teaching_images/1045/thumbnail.jp
Lawrence Walter Nichol 1935-2015
No full textLawrence (Laurie) Walter Nichol FAA was Vice Chancellor of the Australian National University (ANU) from 1988 to 1993, and before that, of the University of New England (UNE) from 1985 to 1988. His independent academic career began in 1963 at the ANU as a Research Fellow in the Department of Physical Biochemistry in the John Curtin School of Medical Research (JCSMR). The department was headed by Professor Alexander (Sandy) G. Ogston FRS. Thus, Laurie's career finally circled back, after overseas sabbaticals and other appointments at Australian universities, to the ANU
The Edinburgh-Durham Southern Galaxy Catalogue - 7. The Edinburgh-Milano cluster redshift survey
No full textIn this paper, we present the redshifts of the galaxies and galaxy clusters which form the Edinburgh-Milano (EM) cluster redshift survey. A total of 777 galaxy redshifts have been measured in 94 clusters extracted from the digitized Edinburgh-Durham Cluster Catalogue. We also present the radial velocity dispersions for 37 clusters. Observational and data reduction techniques are discussed in detail, together with the strategy adopted to determine the mean redshift of a cluster and to identify and discard plausible phantom clusters. Some 10 per cent of our clusters show heavy contamination, indicating that projection is a serious problem for optically selected, rich clusters. The median velocity dispersion estimated for a subsample of richness R greater than or equal to 1 clusters is 742 +/- 63 km s(-1). From a simple comparison with Omega = 1 cold dark matter models of structure formation, these results favour a biasing parameter b = 1.6-2.0 and are inconsistent with a bias outside of the range b = 1.3-2.5
Spike Hunting in Galaxy Spectra: a Semiparametric Approach
No full textURL: http://www.stat.cmu.edu/tr/tr828/tr828.htm
On the use of abiotic surrogates to describe marine benthic biodiversity
No full textM.A. McArthur, B.P. Brooke, R. Przeslawski, D.A. Ryan, V.L. Lucieer, S. Nichol, A.W. McCallum, C. Mellin, I.D. Cresswell, L.C. Radk
The design of a Space-borne multispectral canopy LiDAR to estimate global carbon stock and gross primary productivity
No full textUnderstanding the dynamics of the global carbon cycle is one of the most challenging issues for the scientific community. The ability to measure the magnitude of terrestrial carbon sinks as well as monitoring the short and long term changes is vital for environmental decision making. Forests form a significant part of the terrestrial biosystem and understanding the global carbon cycle, Above Ground Biomass (AGB) and Gross Primary Productivity (GPP) are critical parameters. Current estimates of AGB and GPP are not adequate to support models of the global carbon cycle and more accurate estimates would improve predictions of the future and estimates of the likely behaviour of these sinks. Various vegetation indices have been proposed for the characterisation of forests including canopy height, canopy area, Normalised Difference Vegetation Index (NDVI) and Photochemical Reflectance Index (PRI). Both NDVI and PRI are obtained from a measure of reflectivity at specific wavelengths and have been estimated from passive measurements. The use of multi-spectral LiDAR to measure NDVI and PRI and their vertical distribution within the forest represents a significant improvement over current techniques. This paper describes an approach to the design of an advanced Multi-Spectral Canopy LiDAR, using four wavelengths for measuring the vertical profile of the canopy simultaneously. It is proposed that the instrument be placed on a satellite orbiting the Earth on a sun synchronous polar orbit to provide samples on a rectangular grid at an approximate separation of 1km with a suitable revisit frequency. The systems engineering concept design will be presented
The Edinburgh-Durham Southern Galaxy Catalogue - VIII. The cluster galaxy luminosity function
No full textWe have re-examined the nature of the cluster galaxy luminosity function using the data from the Edinburgh-Durham Southern Galaxy Catalogue and the Edinburgh-Milano Redshift Survey. We derive a best-fitting luminosity function (LF) over the range -18 to -21 in M(b(j)), for a composite sample of 22 of the richer clusters that has M(b(j))* = -20.16 +/- 0.02 and alpha = -1.22 +/- -0.04. The dominant error in these values results from the choice of background subtraction method. From extensive simulations we can show that when the LF is fitted over this narrow range, it is difficult to discriminate against bright values of M* in the single cluster fits, but that faint values provide a strong test of the universality of the luminosity function. We find that all the individual cluster data are well-fitted by a Schechter function with or fixed at -1.25, and that less than or equal to 10 per cent of these have fitted values of M* that disagree from the average at the 99 per cent confidence level. We further show that fitting only a single parameter Schechter function to composite subsets of the data can give erroneous results for the derived M*, as might be expected from the known tight correlation between M* and alpha. By considering two parameter fits, the results of Monte Carlo simulations and direct two-sample chi(2) tests, we conclude that there is only weak evidence for differences between the data when broken down into subsets based on physical properties (Bautz-Morgan class, richness, velocity dispersion): from our simulations, only the evidence for a difference between subsets based on velocity dispersion may in fact be significant. However, we find no evidence at all that a Schechter function is not a good model for the intrinsic cluster luminosity function over this absolute magnitude range. Models that invoke strong evolution of galaxy luminosity of all galaxies within clusters are inconsistent with our results
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
No full textBoth spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
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