130,944 research outputs found
University of Melbourne (Mildura) Football Club, 1947.
This record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/261302Twenty-seven members of the Club, Premiers in the Sunraysia Football League, 1947, taken with buildings of the Mildura Branch in the background. Apart from the team, who are indexed, are K. Twiddy, B. Walklate, K. Henfrey, W. Tickner, G. Bethell and M. Griffith. Names are printed on cream cardboard mount. PERSONS K. Black, K.V. Merry, F. Ackerman, L. Weber, R. Slater, M. Blair, D. Hocking, J. Thwaites, A. Edwards, A. Marshall, G. Witten, R. Shalless, G. Warming, P. Bassett, J. Finlayson, L. Date, J. Jolley, H. Meredith, R. Faulkner, E. Costello, J. Lodge,201593
Item: [1987.0022.00004] "University of Melbourne (Mildura) Football Club, 1947.
Rebutting Mabo myths
tag=1 data=Rebutting Mabo myths
tag=2 data=Tickner, Robert
tag=6 data=^d ^mJune ^y1993
tag=8 data=ABORIGINAL LAND RIGHTS%MABO
tag=9 data=MABO STYLE
tag=15 data=PAM
tag=32 data=KEATING, PAUL%TICKNER, ROBER
Melbourne University 2nd XVIII Football Team, Mildura Branch, 1948.
This record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/261304Group of 23 men, the names printed on cream cardboard mount. Names not indexed because of lack of space: J. Peart, R. Cook, C. Pearson, I. Lyall, P. Geechoun, I. Downes, P. Hilder, H. Spalding, D. O'Connor, R. Inglis, P. McNeil, S. Martin, S. Pitt, D. Hall, J. Greenway, I. Gatliff, M. James, J. Reed-Hankey, J. McDonagh, G. Bethell, K. Woodard, J. Wilson, K. Currey,201595
Item: [1987.0022.00006] "Melbourne University 2nd XVIII Football Team, Mildura Branch, 1948.
Editorial: Implementing Environmental Flows: Lessons for Policy and Practice
Water resources and freshwater ecosystems are under pressure from a growing human population, thirstier lifestyles, and climate change (UNESCO and UN water, 2020). Consequently, water-related risks to society are increasing (World Economic Forum, 2020) and freshwater biodiversity is rapidly declining (Grooten, 2018). The UN Sustainable Development Goals (SDGs) include targets for improved water management, including SDG 6.4, which stipulates sustainable water withdrawals, and SDG 6.6, aimed at halting the degradation of water-related ecosystems. The hydrological regimes of rivers and other wetlands can be regarded as a litmus test of whether these targets are met (Tickner and Acreman, 2013). Environmental flow assessment (EFA) is the science-based process of determining appropriate flow regimes for individual water bodies given environmental, socio-economic and cultural objectives. Researchers have developed sophisticated EFA tools (Acreman et al., 2014; Poff et al., 2017) but implementation of environmental flows has been problematic, and research into the challenges of implementation is scarce.Full Tex
Melbourne University 1st XVIII Football Team, Mildura Branch, 1949.
This record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/261305Group of 29 men, named on cream cardboard mount. 21 players only are indexed. Others are D. Saunders (trainer), W.N. Thomas (trainer), F.D. Lang (time-keeper), L. Langford (goal-umpire), Bothroyd, Dr. J.S., L.R.D. Pyke (Coach), and K.H. Maling and K.H. Currey. A.N. Jephcott, I.M. Peachey, R.Dawkins, J.R. Mann, W.B. Beulke, W.F. Miles, A.K. Deacon, J.R. Johnson, E.W. Pick, H.S. Millar,M. Marchesani, T.J. Langley, J.E. Greenway, D.H. Fry, N.McK. Bennett, P.R. Scott, A.H. Vaughan, C. Riley, B. Sutherland, R.A. Leggatt, I.A. Stewart,201596
Item: [1987.0022.00007] "Melbourne University 1st XVIII Football Team, Mildura Branch, 1949.
MeSH term explosion and author rank improve expert recommendations
Information overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
Both 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.
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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