1,183 research outputs found

    Selling fashion: realizing the research potential of the House of Fraser archive, University of Glasgow Archive Services

    No full text
    The House of Fraser archive is a rich resource for the study of the development of fashion retailing in Britain since the mid-nineteenth century. It is, however, underexploited by textile, fashion and retail historians. During the summer of 2009, the University of Glasgow archive services will complete an Arts and Humanities Research Council-funded project which seeks to improve the accessibility of the Archive. Adopting a progressive approach to archival description, the project is developing an innovative online catalogue, providing fuller access to information about the Archive and the resources contained within it

    Beyond Lesson Studies and Design Experiments: Using theoretical tools in practice and finding out how they work

    No full text
    This paper aims to illustrate how fruitful insights into the link between school teaching practice and student learning outcomes can be theoretically grounded by the variation theory from the field of phenomenography; and from this framework demonstrate how a 'pedagogy of awareness' can be implemented in the classroom. In this study, five teachers and 162 students at Primary Four level of school education in Hong Kong participated and the practice of the 'learning study' was adopted. By comparing the results of pre- and posttests, a significant gain was observed in the students learning outcomes.

    Figure 1. Australian and New Guinean drainage basins showing the 46 in Electrophoretic delineation of species boundaries within the genus Chelodina (Testudines: Chelidae) of Australia, New Guinea and Indonesia

    No full text
    Figure 1. Australian and New Guinean drainage basins showing the 46 basins from which samples were collected. Drainage basins are numbered as follows. South Australia: 1. Broughton (Clo); 2. Millicent Coast (Clo). Victoria: 3. Murray- Riverina (Cex, Clo); 4. Bega (Clo). New South Wales: 5. Clyde River–Jervis Bay (Clo); 6. Hawkesbury (Clo); 7. Hunter (Clo); 8. Macleay (Clo); 9. Clarence (Clo); 10. Murrumbidgee (Clo); 11. Castlereagh (Cex); 12. Namoi (Cex, Clo); 13. Gwydir (Clo); 14. Border (Clo). Queensland: 15. Condamine–Culgoa (Cex, Clo); 16. Logan–Albert (Cex); 17. Pine (Cex); 18. Mary (Cex); 19. Fraser Island (Cex, Clo); 20. Burnett (Cex); 21. Fitzroy (Cex); 22. Shoalwater (Clo ¥ Cno); 23. Styx (Cno); 24. Proserpine (Cno); 25. Don (Cno, Clo ¥ Cno); 26. Ross (Cno); 27. Jardine (Cru); 28. Mitchell (Cru); 29. Gilbert (Cno, Cru, Cno ¥ Cru); 30. Nicholson (Cno). Northern Territory: 31. Robinson (Cru); 32. Roper (Cno); 33. Liverpool (Cbu); 34. SouthPublished as part of Georges, Arthur, Adams, Mark & McCORD, William, 2002, Electrophoretic delineation of species boundaries within the genus Chelodina (Testudines: Chelidae) of Australia, New Guinea and Indonesia, pp. 401-421 in Zoological Journal of the Linnean Society 134 (4) on page 403, DOI: 10.1046/j.1096-3642.2002.00007.x, http://zenodo.org/record/543402

    Underemployment : a skills utilisation perspective

    No full text
    More than half of all employees believe that the skills they possess are higher than those required to do their present jobs. This is one of several findings reported in a research paper on "under-employment" in the current edition of the University of Strathclyde's Fraser of Allander Review published today. According to the author of the paper, John Sutherland of the Scottish Centre for Employment Research at the university, this provides further evidence that "under-employment" is as important a policy problem as "unemployment"

    Long-term mean Antarctic landfast sea ice persistence map

    No full text
    Progress Code: completedStatement: Quality of the underlying product described in detail in the associated dataset paper: Fraser, A. D., Massom, R. A., Ohshima, K. I., Willmes, S., Kappes, P. J., Cartwright, J., and Porter-Smith, R.: High-resolution mapping of circum-Antarctic landfast sea ice distribution, 2000–2018, Earth Syst. Sci. Data, 12, 2987–2999, https://doi.org/10.5194/essd-12-2987-2020, 2020.<b>Purpose</b><br/>The purpose of releasing this processed/derived product is to facilitate wider distribution of this commonly-requested product. This product is also a candidate for Quantarctica Version 4, so a DOI will facilitate the incorporation of this dataset into that collection.This dataset provides the dataset underlying Figure 2 from the following publication: <br/>Fraser, A. D., Massom, R. A., Handcock, M. S., Reid, P., Ohshima, K. I., Raphael, M. N., Cartwright, J., Klekociuk, A. R., Wang, Z., and Porter-Smith, R.: Eighteen-year record of circum-Antarctic landfast-sea-ice distribution allows detailed baseline characterisation and reveals trends and variability, The Cryosphere, 15, 5061–5077, https://doi.org/10.5194/tc-15-5061-2021, 2021.<br/><br/>It gives a map of the long-term (2000-2018) mean persistence of Antarctic landfast ice by simply averaging across the time dimension.<br/><br/>From the referenced paper:<br/><br/>Around Antarctica, landfast or fast ice is a stationary and consolidated form of sea ice which is attached to, and held in place by, the coastline or floating ice shelf fronts (World Meteorological Organization, 1970) and icebergs grounded in waters shallower than approximately 400 m (Giles et al., 2008; Fraser et al., 2012). As such, Antarctic fast ice forms only on the continental shelf, typically in narrow (50 to 250 km wide) bands adjacent to the coast and/or upstream of protrusions into the westward Antarctic Coastal Current that intercept encroaching (drifting) pack ice (Fraser et al., 2012; Nihashi and Ohshima, 2015). Depending on location, Antarctic fast ice can range in persistence from annual through perennial to multi-decadal (e.g. Massom et al., 2010), with certain regions being highly variable and breaking out and reforming several times per year (e.g. Massom et al., 2009; Fraser et al., 2012).<br/><br/>Antarctic fast ice is not only a sensitive bellwether of climate change and variability (given its intimate linkage and interaction with the high-latitude ocean and atmosphere, Massom et al., 2009; Fraser, 2011; Aoki, 2017), but its distribution also influences the size of adjacent coastal polynyas (Massom et al., 1998, 2001; Nihashi and Ohshima, 2015; Fraser et al., 2019), affecting regional rates of sea-ice production, water mass modification and the formation of globally important Antarctic bottom water in certain key locations (e.g. Kusahara et al., 2017; Ohshima et al., 2013). Moreover, recent work has shown the importance of fast ice in mechanically bonding and stabilising vulnerable outer margins of floating glacier tongues and ice shelves (Massom et al., 2018, 2015, 2010) and also in controlling the seasonal dynamics and discharge rate of certain outlet glaciers (Greene et al., 2018). Fast ice is also of major ecological importance as a key breeding habitat for emperor penguins and Weddell seals (Kooyman and Burns, 1999; Massom et al., 2009), plays a role in structuring shallow coastal benthic ecosystems (Clark et al., 2017), and is a region of high primary productivity (concentrated ice algal growth, Meiners et al., 2018). Coastal fast ice also constitutes a reservoir of nutrients (de Jong et al., 2013) which can substantially enhance primary production in the coastal zone when released into the water column upon fast-ice breakout/melt (particularly for thick, multi-year fast ice, e.g. Shadwick et al., 2013). Finally, fast ice can either facilitate or impede aviation and station resupply activities, depending on its location, extent and thickness (COMNAP, 2015). It follows that change and/or variability in Antarctic fast-ice distribution and seasonality have wide-ranging ramifications, and characterisation of where and how fast ice is changing is a high priority.<br/><br/>Accurate, consistent, long-term and year-round time-series mapping of Antarctic fast ice at a high spatio-temporal resolution and on a circumpolar scale requires satellite observation but is technically challenging (Fraser et al., 2009, 2010; Nihashi and Ohshima, 2015; Fraser et al., 2020; Kim et al., 2018, 2020; Li et al., 2020). Knowledge of its distribution and trends has been identified as a major gap (Vaughan et al., 2013; Meredith et al., 2019). This has severely limited our understanding of the important coastal icescape and key interactive physical, biological and biogeochemical processes therein. Fraser et al. (2012) released an 8.8-year dataset of East Antarctic fast-ice extent from 2000 to 2008, but this dataset has not been updated. Using passive microwave satellite data, Nihashi and Ohshima (2015) subsequently produced a dataset of circum-Antarctic fast-ice extent from 2003 to 2011, but at a relatively coarse resolution of 6.25 km per pixel, and this technique does not detect and include young fast ice (Fraser et al., 2019). Li et al. (2020) recently released a high-spatial-resolution circum-Antarctic dataset of fast ice covering November only in the years 2006–2011 and 2016–2017 using synthetic aperture radar (SAR) image analysis. However, since November is a month characterised by regionally variable fast-ice retreat (Fraser et al., 2012), it is inadequate for analysis of long-term trends in extent.<br/><br/>As such, detailed circumpolar characterisation of fast ice has not been possible due to the lack of a suitable underlying dataset. This gap has recently been filled by the publication of a new time series of fast-ice extent from March 2000 to March 2018 (Fraser et al., 2020). This dataset contains 432 contiguous maps of fast-ice extent at a 1 km and 15 d resolution, generated by compositing cloud-free visible and thermal infrared imagery from NASA Moderate Resolution Imaging Spectroradiometer (MODIS) sensors aboard the Terra and Aqua satellites (Fraser et al., 2009, 2010). The process of generating the cloud-free composite imagery relies upon the MOD35 cloud mask product (Ackerman et al., 2006), which performs brightness temperature and reflectance-based spectral tests to determine the probability of cloud contamination. This product has limitations, especially during polar night (Fraser et al., 2010), and the procedure for composite generation may be improved using machine-learning-based techniques such as those demonstrated by Paul and Huntemann (2021). Such improvements may be implemented in a future fast-ice product.<br/><br/>Here, we use the newly released fast-ice dataset to perform a first detailed characterisation of circum-Antarctic fast-ice distribution, change and variability. We first identify eight distinct regions in terms of fast-ice co-variability, which form the basis of the new analysis of fast-ice trends around Antarctica. These regions differ from the sectors more traditionally used in Antarctic sea-ice analyses (Zwally et al., 1983). We then present the overall extent time series and annual climatology, spatial characterisation of mean fast-ice persistence, age and timing of minimum/maximum extent across the 18-year dataset. We also analyse fast-ice persistence in concert with bathymetric depth, and interpret this regionally, to more widely assess and determine the linkages between fast ice and grounded icebergs, which act both as stable anchor points for fast-ice formation (e.g. Massom et al., 2009; Li et al., 2020) and to intercept and retain encroaching pack ice, thus encouraging fast-ice formation upstream (Massom et al., 2001; Massom, 2003)

    Legionnaires' disease - Atypical pneumonia

    No full text
    PT: J; CR: 1978, ANN INTERN MED, V88, P363 1978, MORBID MORTAL WEEKLY, V27, P523 BARCLAY WR, 1979, JAMA, V241, P1387 BROOME CV, 1979, ANN INTERN MED, V90, P1 CHANDLER FW, 1977, NEW ENGL J MED, V297, P1218 DIETRICH PA, 1978, RADIOLOGY, V127, P577 EDELSTEIN PH, 1978, LANCET, V2, P1172 FRASER DW, 1977, NEW ENGL J MED, V297, P1189 FRIEDMAN HM, 1978, ANN INTERN MED, V88, P294 GASPER TM, 1978, BRIT MED J, V2, P1611 HALEY CE, 1979, ANN INTERN MED, V90, P583 JENKINS P, 1979, BRIT J DISEASES CHES, V73, P31 KARIMAN K, 1979, CHEST, V75, P736 KEYS TF, 1977, MAYO CLIN P, V52, P657 KIRBY BD, 1978, ANN INTERN MED, V89, P297 KNOCHEL JP, 1977, ARCH INTERN MED, V137, P203 LATTIMER GL, 1978, NEW ENGLAND J MED, V299, P1172 LEWIN S, 1979, AM J MED, V67, P339 LOVE WC, 1978, LANCET, V2, P1249 MCDADE JE, 1977, NEW ENGL J MED, V297, P1197 MORGAN JR, 1979, LANCET, V1, P1083 OLDENBURGER D, 1979, JAMA-J AM MED ASSOC, V241, P1269 SANFORD JP, 1979, NEW ENGL J MED, V300, P654; NR: 23; TC: 1; J9: POSTGRAD MED; PG: 4; GA: JA741Source type: Electronic(1

    L201 Albany Fraser Orogen Deep Crustal Reflection Seismic Survey, WA 2012. Stacked and migrated seismic data and images for lines AF1, AF2, AF3 and T1

    No full text
    Maintenance and Update Frequency: asNeededStatement: The survey involves the acquisition of seismic reflection and gravity Data over the Yilgarn Craton margin and the Albany Fraser Orogen of Western Australia. The survey consisted of four lines, totalling 677kms.Geoscience Australia conducted the Albany Fraser Orogen 2D Seismic Survey in 2012. The survey involves the acquisition of seismic reflection and gravity Data over the Yilgarn Craton margin and the Albany Fraser Orogen of Western Australia. The survey consisted of four lines, totalling 677kms. The project is a collaborative project between Geoscience Australia and the Geological Survey of Western Australia and is part of the ongoing cooperation under the National Geoscience Agreement (NGA). Funding of this project is through the Western Australian Government's Royalties for Regions Exploration Incentive Scheme. The primary objective of the project is to Image the crustal architecture of the Yilgarn Craton margin and its relationship to the Albany-Fraser Orogen and establish the subsurface extent of the Yilgarn Craton beneath the Albany-Fraser Orogen, and look for mantle-tapping structures that may have provided fluid pathways for mineralization. The seismic lines are designed to cross several major faults, such as the Cundeelee Fault, the Fraser Fault, the Newman Shear Zone, and the Red Island Shear Zone. A 70km long deep crustal seismic line was also acquired near the Tropicana Gold mine with the assistance of AuScope Earth Imaging, Anglo Gold Ashanti and the Independence Group. The purpose of this line was to image the crustal architecture as well as to understand the structural geometry around the Tropicana gold deposit and help define prospective areas elsewhere along the belt.<br/><br/>Raw data for this survey are available on request from [email protected]

    Fixed-interval conditioned feed-intake in swine and cattle

    No full text
    PT: J; CR: 1982, CANADIAN HOG CARCASS 1982, SAS USERS GUIDE STAT 1983, BEEF CARCASS APPRAIS AUFFRAY P, 1980, REPROD NUTR DEV, V20, P1625 AUFFRAY P, 1983, REPROD NUTR DEV, V23, P517 BELL JM, 1975, CAN J ANIM SCI, V55, P61 BURT AWA, 1967, P NUTR SOC, V26, P181 CHASE LE, 1976, J DAIRY SCI, V59, P1923 CONARD BE, 1978, POULTRY SCI, V57, P719 CROMWELL GL, 1965, J ANIM SCI, V24, P877 FRASER D, 1984, APPL ANIM BEHAV SCI, V11, P317 FRIEND DW, 1964, J NUTR, V83, P251 FRIEND DW, 1967, J ANIM SCI, V26, P316 GIBSON JP, 1981, ANIM PROD, V32, P275 HANSEN LL, 1982, APPL ANIM ETHOL, V8, P307 HORTON OH, 1964, J DAIRY SCI, V47, P196 HOUPT KA, 1983, AM J PHYSIOL, V244, R279 HURNIK JF, 1985, DICT FARM ANIMAL BEH MELNIKOV SV, 1956, SVINOVODSTRO, V8, P25 MOORE CL, 1975, J DAIRY SCI, V58, P1531 PSENICNYJ PD, 1958, VESTN SELSKOHOZ NAUK, V3, P96 PUTNAM PA, 1968, J ANIM SCI, V27, P1494 RANDOLPH JH, 1981, J ANIM SCI, V53, P922 SHAW RA, 1978, ANIM PROD, V27, P277 SNIFFEN CJ, 1984, CAN J ANIM SCI, V64, P529 SWENSON MJ, 1977, DUKES PHYSL DOMESTIC VASILATOS R, 1980, J DAIRY SCI, V63, P412 WALKER N, 1970, J AGR SCI CAMB, V75, P241; NR: 28; TC: 4; J9: CAN J ANIM SCI; PG: 7; GA: J3875Source type: Electronic(1

    Multifractal measures : from self-affine to nonlinear

    No full text
    This thesis is based on three papers the author wrote during his time as a PhD student. In Chapter 2 we study -spectra of planar self-affine measures generated by diagonal matrices. We introduce a new technique for constructing and understanding examples based on combinatorial estimates for the exponential growth of certain split binomial sums. Using this approach we find counterexamples to a statement of Falconer and Miao from 2007 and a conjecture of Miao from 2008 concerning a closed form expression for the generalised dimensions of generic self-affine measures. We also answer a question of Fraser from 2016 in the negative by proving that a certain natural closed form expression does not generally give the -spectrum. As a further application we provide examples of self-affine measures whose -spectra exhibit new types of phase transitions. Finally, we provide new non-trivial closed form bounds for the -spectra, which in certain cases yield sharp results. In Chapter 3 we study -spectra of measures in the plane generated by certain nonlinear maps. In particular we study attractors of iterated function systems consisting of maps whose components are ¹⁺ᵅ and for which the Jacobian is a lower triangular matrix at every point subject to a natural domination condition on the entries. We calculate the -spectrum of Bernoulli measures supported on such sets using an appropriately defined analogue of the singular value function and an appropriate pressure function. In Chapter 4 we study a more general class of invariant measures supported on the attractors introduced in Chapter 3. These are pushforward quasi-Bernoulli measures, a class which includes the well-known class of Gibbs measures for Hölder continuous potentials. We show these measures are exact dimensional and that their exact dimensions satisfy a Ledrappier-Young formula."The work in this thesis was supported by an Engineering and Physical Sciences Research Council (EPSRC) Doctoral Training Grant (EP/N509759/1)." -- Fundin
    corecore