302 research outputs found
Role of biofilms in the oral health of animals
No full textIn humans the importance of biofilms in disease processes is now widely recognised together with the difficulties in treating such infections once established. One of the earliest and certainly most studied biofilm in humans is that of dental plaque which is responsible for two of the most prevalent human infections, namely dental caries and periodontal disease. However, comparable studies of dental plaque in animals are relatively limited, despite the fact that similar infections also occur, and in the case of farm animals there is an associated economic impact. In addition, biofilms in the mouths of animals can also be detrimental to human health when transferred by animal bites. As a result, an understanding of both the microbial composition of animal plaque biofilms together with their role in animal diseases is important. Through the use of modern molecular studies, an insight into the oral microflora of animals is now being obtained and, to date, reveals that despite differences in terms of microbial species and relative proportions occurring between humans and animals, similarities do indeed exist. This information can be exploited in our efforts to both manage and treat infections in animals arising from the presence of an oral biofilm. This Chapter describes our current understanding of the microbial composition of animal plaque, its role in disease and how oral hygiene measures can be implemented to reduce subsequent infection
Cognitive and motivational parallels in moral development
No full textTwo experiments examined parallels between L. Kohlberg's (1963, 1976) cognitive developmental stages and a hierarchy of incentives (motivations) based on Kohlberg's "motives for moral action" aspect.Source type: Electronic(
Faculty Photo 2006-2007
No full textFirst Row (L to R): Helen Norton, Lisa Fairfax, Michael Van Alstine, Karen Rothenberg, Diane Hoffmann, Larry Gibson, Jana Singer
Second Row (L to R): Peter Quint, Patricia Campbell, Ellen Weber, Maxwell Chibundu, Brenda Bratton Blom, Robert Percival, Renee Hutchins, Michael Greenberger
Third Row (L to R): Daniel Goldberg, Roger Wolf, Andrew King, Deborah Hellman, Susan Hankin, Barbara Bezdek, Helen Norton, Sharon Reece, Lawrence Sung, Fernando Nunez, Robert Keller
Fourth Row (L to R): Peter Danchin, Steven Schwinn, Michael Pinard, Richard Boldt, Gordon Young, Richard Booth, Kathleen Hoke, Donald Gifford, Russell McClain, Jerome Deise, Mark Graberhttps://digitalcommons.law.umaryland.edu/photos/1006/thumbnail.jp
Cosmological parameter estimation using Very Small Array data out to ℓ= 1500
No full textWe estimate cosmological parameters using data obtained by the Very Small Array (VSA) in its extended configuration, in conjunction with a variety of other cosmic microwave background (CMB) data and external priors. Within the flat Λ cold dark matter (ΛCDM) model, we find that the inclusion of high-resolution data from the VSA modifies the limits on the cosmological parameters as compared to those suggested by the Wilkinson Microwave Anisotropy Probe (WMAP) alone, while still remaining compatible with their estimates. We find that Ωbh2= 0.0234+0.0012−0.0014, Ωdmh2= 0.111+0.014−0.016, h= 0.73+0.09−0.05, nS= 0.97+0.06−0.03, 1010AS= 23+7−3 and τ= 0.14+0.14−0.07 for WMAP and VSA when no external prior is included. On extending the model to include a running spectral index of density fluctuations, we find that the inclusion of VSA data leads to a negative running at a level of more than 95 per cent confidence ( nrun=−0.069 ± 0.032 ), something that is not significantly changed by the inclusion of a stringent prior on the Hubble constant. Inclusion of prior information from the 2dF galaxy redshift survey reduces the significance of the result by constraining the value of Ωm. We discuss the veracity of this result in the context of various systematic effects and also a broken spectral index model. We also constrain the fraction of neutrinos and find that fν < 0.087 at 95 per cent confidence, which corresponds to mν < 0.32 eV when all neutrino masses are equal. Finally, we consider the global best fit within a general cosmological model with 12 parameters and find consistency with other analyses available in the literature. The evidence for nrun < 0 is only marginal within this model
Interview: Anne-Marie Fortier
No full textThis paper is an edited version of an email interview conducted by Debra Ferreday and Adi Kuntsman with Anne-Marie Fortier, the author of Multicultural Horizons: Diversity and the Limits of the Civil Nation (Routledge, 2008). Fortier’s work has been informative in the development of some of the arguments explored in this special issue; in their conversation Ferreday and Kuntsman asked her to comment on the ideas of haunting, racial imaginaries, nostalgia, national anxieties, political feelings and hopes for the future
NSW DMR, Discovery 2000 Area L,Gilgandra, NSW, 1999 (P743), elevation line data
No full textMaintenance and Update Frequency: notPlannedStatement: This NSW DMR, Discovery 2000 Area L,Gilgandra, NSW, 1999 (P743), elevation line data is an airborne-derived elevation data for the NSW DMR, Discovery 2000 Area L,Gilgandra, NSW, 1999. The survey was acquired under the project No. 743 for the geological survey of NSW. A total of 31389 line-kilometres of data at a line spacing of 250m and 60m terrain clearance were acquired during this survey. The elevation data was calculated using the altimeters and Global Positioning System (GPS) sensor used for the benefit airborne of magnetic and radiometric data on the same survey. The elevation is the height relative to the Australian Height Datum GDA94 (AUSGEOID09). Details of the specifications of individual airborne surveys can be found in the Fourteenth Edition of the Index of Airborne Geophysical Surveys (Percival, 2014). This Index is also available online at http://pid.geoscience.gov.au/dataset/79134.
Reference:
Percival, P.J., 2014. Index of airborne geophysical surveys (Fourteenth Edition).The Digital Elevation Model represents ground surface topography between points of known elevation. The elevation data was calculated using the altimeters and Global Positioning System (GPS) sensor used for the benefit of airborne magnetic and radiometric data on the same survey. The elevation is the height relative to the Australian Height Datum GDA94 (AUSGEOID09). The processed elevation data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose.<br/> These line dataset from the NSW DMR, Discovery 2000 Area L,Gilgandra, NSW, 1999 survey were acquired in 1999 by the NSW Government, and consisted of 31389 line-kilometres of data at 250m line spacing and 60m terrain clearance
GSNSW Exploration NSW Area L Gilgandra potassium grid geodetic
No full textMaintenance and Update Frequency: notPlannedStatement: This GSNSW Exploration NSW Area L Gilgandra potassium grid geodetic is an airborne-derived radiometric potassium grid for the NSW DMR, Discovery 2000 Area L,Gilgandra, NSW, 1999. The survey was acquired under the project No. 743 for the geological survey of NSW. The grid has a cell size of 0.00048 degrees (approximately 50m). A total of 31389 line-kilometres of data at a line spacing of 250m and 60m terrain clearance were acquired to produce this grid. This radiometric potassium grid shows potassium element concentration of the NSW DMR, Discovery 2000 Area L,Gilgandra, NSW, 1999 in units of percent (or %). Noise-adjusted singular value decomposition (NASVD) has been applied to the data. NASVD is a spectral component analysis procedure for the removal of noise from gamma-ray spectra. Details of the specifications of individual airborne surveys can be found in the Fourteenth Edition of the Index of Airborne Geophysical Surveys (Percival, 2014). This Index is also available online at http://pid.geoscience.gov.au/dataset/79134.
Reference:
Percival, P.J., 2014. Index of airborne geophysical surveys (Fourteenth Edition).The radiometric, or gamma-ray spectrometric method, measures the natural variations in the gamma-rays detected near the Earth's surface as the result of the natural radioactive decay of potassium (K), uranium (U) and thorium (Th). The data collected are processed via standard methods to ensure the response recorded is that due only to the rocks in the ground. The results produce datasets that can be interpreted to reveal the geological structure of the sub-surface. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose.<br/>This radiometric potassium grid has a cell size of 0.00048 degrees (approximately 50m) and shows potassium element concentration of the NSW DMR, Discovery 2000 Area L,Gilgandra, NSW, 1999 in units of percent (or %). The data used to produce this grid was acquired in 1999 by the NSW Government, and consisted of 31389 line-kilometres of data at 250m line spacing and 60m terrain clearance
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