Showing 141 - 160 results of 26,876 for search '"Melbourne IT"', query time: 0.35s Refine Results
  1. 141

    Variation in the Structure and Composition of Bacterial Communities within Drinking Water Fountains in Melbourne, Australia by Warren Evan Blyth, Esmaeil Shahsavari, Arturo Aburto-Medina, Andrew S. Ball, Andrew Mark Osborn

    Published 2022-03-01
    “…This study was conducted on twelve drinking fountains (of three different types, namely types A, B and C) within the Melbourne (Australia) city area with the aim to (i) characterize the water quality and viable and total counts at each fountain, (ii) compare the differences in the structure and diversity of the bacterial community between bulk water and biofilm and (iii) determine differences between the bacterial communities based on fountain type. …”
    Get full text
    Article
  2. 142

    Serological testing of blood donors to characterise the impact of COVID-19 in Melbourne, Australia, 2020. by Dorothy A Machalek, Kaitlyn M Vette, Marnie Downes, John B Carlin, Suellen Nicholson, Rena Hirani, David O Irving, Iain B Gosbell, Heather F Gidding, Hannah Shilling, Eithandee Aung, Kristine Macartney, John M Kaldor

    Published 2022-01-01
    “…We estimated SARS-CoV-2 specific antibody prevalence (seroprevalence) among blood donors in metropolitan Melbourne following a COVID-19 outbreak in the city between June and September 2020. …”
    Get full text
    Article
  3. 143
  4. 144

    Seasonal asthma in Melbourne, Australia, and some observations on the occurrence of thunderstorm asthma and its predictability. by Jeremy D Silver, Michael F Sutherland, Fay H Johnston, Edwin R Lampugnani, Michael A McCarthy, Stephanie J Jacobs, Alexandre B Pezza, Edward J Newbigin

    Published 2018-01-01
    “…We examine the seasonality of asthma-related hospital admissions in Melbourne, Australia, in particular the contribution and predictability of episodic thunderstorm asthma. …”
    Get full text
    Article
  5. 145
  6. 146

    A genomic survey of Clostridioides difficile isolates from hospitalized patients in Melbourne, Australia by Sarah Larcombe, Galain C. Williams, Jacob Amy, Su Chen Lim, Thomas V. Riley, Anthony Muleta, Adele A. Barugahare, David R. Powell, Priscilla A. Johanesen, Allen C. Cheng, Anton Y. Peleg, Dena Lyras

    Published 2023-12-01
    “…Here, we studied the genetic relatedness of C. difficile isolated from patients at a major hospital in Melbourne, Australia. Diverse ribotypes were detected, including those associated with community and environmental sources. …”
    Get full text
    Article
  7. 147

    BUILDING FOOTPRINT SEGMENTATION USING TRANSFER LEARNING: A CASE STUDY OF THE CITY OF MELBOURNE by B. Neupane, J. Aryal, A. Rajabifard

    Published 2022-10-01
    “…Our experiments on a case study from the City of Melbourne show that the modified U-Net is highly robust than the original U-Net and SegNet, and the dataset we develop is significantly more robust than an existing benchmark dataset. …”
    Get full text
    Article
  8. 148

    2016 Thunderstorm-asthma epidemic in Melbourne, Australia: An analysis of patient characteristics associated with hospitalization by Harun, N, Lachapelle, P, Bowatte, G, Lodge, C, Braitberg, G, Irving, L, Hinks, T, Dharmage, S, Douglass, J

    Published 2020
    “…</p> <p><strong>Objectives:</strong> We identified affected patients who presented to The Royal Melbourne Hospital, an adult tertiary center in North-West Melbourne. …”
    Journal article
  9. 149
  10. 150
  11. 151
  12. 152
  13. 153

    Does parkland influence walking? The relationship between area of parkland and walking trips in Melbourne, Australia by King Tania L, Thornton Lukar E, Bentley Rebecca J, Kavanagh Anne M

    Published 2012-09-01
    “…</p> <p>Methods</p> <p>Residents of 50 urban areas in metropolitan Melbourne, Australia completed a physical activity survey (n = 2305). …”
    Get full text
    Article
  14. 154
  15. 155

    The effects of summer temperature, age and socioeconomic circumstance on Acute Myocardial Infarction admissions in Melbourne, Australia by Tapper Nigel J, Nicholls Neville, Loughnan Margaret E

    Published 2010-08-01
    “…</p> <p>Conclusions</p> <p>This study has demonstrated that both age and socioeconomic inequality contribute to AMI admissions to hospital in Melbourne during hot weather. By using socioeconomic circumstance to define quintiles, differences in AMI admissions were quantified and demographic differences in AMI admissions were described. …”
    Get full text
    Article
  16. 156

    Thermal, radioactive and magnetic properties of the lavas of the Mt Melbourne Volcanic Field (Victoria Land, Antarctica) by Egidio Armadillo, Paolo Chiozzi, Massimo Verdoya, Vincenzo Pasquale

    Published 2009-06-01
    “…We present the results of measurements of physical properties carried out on mafic lavas from the Mt Melbourne&lt;br /&gt;Volcanic Field, useful for interpretation of geophysical surveys designed to shed light on the structure of the&lt;br /&gt;crust. …”
    Get full text
    Article
  17. 157
  18. 158
  19. 159

    First detection and genetic characterisation of Enterocytozoon bieneusi in wild deer in Melbourne’s water catchments in Australia by Yan Zhang, Anson V. Koehler, Tao Wang, Shane R. Haydon, Robin B. Gasser

    Published 2018-01-01
    “…Here, we undertook the first molecular epidemiological investigation of E. bieneusi in three species of deer (Cervus elaphus, Dama dama and Rusa unicolor) that live in the catchment areas that supply the city of Melbourne with drinking water. Methods Genomic DNA was extracted from a total of 610 individual faecal samples from wild deer, including sambar deer (Rusa unicolor) (n = 516), red deer (Cervus elaphus) (n = 77) and fallow deer (Dama dama) (n = 17) from nine catchment areas, and then tested using a nested PCR-based sequencing approach employing internal transcribed spacer (ITS) of nuclear ribosomal DNA as the genetic marker. …”
    Get full text
    Article
  20. 160

    Use of Spatial Analysis Techniques to Identify Statistically Significant Crash Hot Spots in Metropolitan Melbourne by Elizabeth Hovenden, Gang-Jun Liu

    Published 2020-11-01
    “…Several spatial statistical methods were used to examine crash clustering in metropolitan Melbourne, including Global Moran’s I statistic, Kernel Density Estimation and Getis-Ord Gi* statistic. …”
    Get full text
    Article