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Adelaide Research & Scholarship
Adelaide Research & Scholarship
Browsing "Research Centres and Institutes" by By Date
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Showing results 41 to 60 of 11383
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Issue Date
Title
Author(s)
2023
Saos-2 cells cultured under hypoxia rapidly differentiate to an osteocyte-like stage and support intracellular infection by Staphylococcus aureus.
Zelmer, A.R.
;
Starczak, Y.
;
Solomon, L.B.
;
Richter, K.
;
Yang, D.
;
Atkins, G.J.
2023
Machine learning for classifying and predicting grape maturity indices using absorbance and fluorescence spectra
Armstrong, C.E.J.
;
Gilmore, A.M.
;
Boss, P.K.
;
Pagay, V.
;
Jeffery, D.W.
2023
Speed limit reductions in 2011 on South Australian high speed roads
Kloeden, C.
;
This research was funded via a deed with the South Australian Government
2023
Active-learning accelerated computational screening of A₂B@NG catalysts for CO₂ electrochemical reduction
Li, X.
;
Li, H.
;
Zhang, Z.
;
Shi, J.Q.
;
Jiao, Y.
;
Qiao, S.-Z.
2023
The contribution of driver fatigue to casualty and fatal crashes in South Australia
Thompson, J.
;
Wundersitz, L.
;
This research was funded via a deed with the South Australian Government
2023
Crashes involving road users who have recently arrived in South Australia
Thompson, J.
;
Lindsay, V.
;
Baldock, M.
;
This research was funded via a deed with the South Australian Government
2023
Collection and analysis of EDR data from crash-involved vehicles: 2021 summary report
Elsegood, M.
;
Doecke, S.
;
Ponte, G.
;
This research was partly funded via a deed with the South Australian Government and by the Victorian Transport Accident Commission
2023
Development and trial of a process to audit vehicle safety technologies in rural areas
Elsegood, M.
;
Mackenzie, J.
;
This research was funded via a deed with the South Australian Government
2023
Injury crashes involving child cyclists in South Australia 2009-2018
Elsegood, M.
;
Hutchinson, T.P.
;
This research was funded via a deed with the South Australian Government
2023
A novel low-cost Safe System-aligned treatment for regional and remote intersections
Mongiardini, M.
;
Stokes, C.
;
This project was funded through the Australian Government’s Road Safety Innovation Fund (RSIF) program, administered by the Office of Road Safety (Project Number RSIF2-74). In-kind support was also provided by the South Australian Department for Infrastructure and Transport (DIT).
2023
Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images
Tian, Y.
;
Liu, F.
;
Pang, G.
;
Chen, Y.
;
Liu, Y.
;
Verjans, J.W.
;
Singh, R.
;
Carneiro, G.
2023
Visual Place Recognition: A Tutorial
Schubert, S.
;
Neubert, P.
;
Garg, S.
;
Milford, M.
;
Fischer, T.
2023
Paleogenomic study of the Mexican past
Llamas, B.
;
Roca-Rada, X.
2023
Targeting hyaluronan-mediated motility receptor (HMMR) enhances response to androgen receptor signalling inhibitors in prostate cancer
Hinneh, J.A.
;
Gillis, J.L.
;
Mah, C.Y.
;
Irani, S.
;
Shrestha, R.K.
;
Ryan, N.K.
;
Atsushi, E.
;
Nassar, Z.D.
;
Lynn, D.J.
;
Selth, L.A.
;
Kato, M.
;
Centenera, M.M.
;
Butler, L.M.
2023
Ultrastructural analysis of prostate cancer tissue provides insights into androgen-dependent adaptations to membrane contact site establishment
Butler, L.M.
;
Evergren, E.
2023
Population genomic diversity and structure in the golden bandicoot: a history of isolation, extirpation, and conservation
Rick, K.
;
Byrne, M.
;
Cameron, S.
;
Cooper, S.J.B.
;
Dunlop, J.
;
Hill, B.
;
Lohr, C.
;
Mitchell, N.J.
;
Moritz, C.
;
Travouillon, K.J.
;
von Takach, B.
;
Ottewell, K.
2023
Build it and some may come: early stage habitat restoration may initially favour herbivore return
Cross, S.
;
Tomlinson, S.
;
Craig, M.
;
Bateman, P.
;
Doherty, T.
2023
Predicting progression of Parkinson’s disease motor outcomes using a multimodal combination of baseline clinical measures, neuroimaging and biofluid markers
McNamara, A.
;
Ellul, B.
;
Baetu, I.-I.
;
Lau, S.
;
Jenkinson, M.
;
Collins-Praino, L.
;
6th World Parkinson Congress (4 Jul 2023 - 7 Jul 2023 : Barcelona, Spain)
2023
Multi-Modal Learning With Missing Modality via Shared-Specific Feature Modelling
Wang, H.
;
Chen, Y.
;
Ma, C.
;
Avery, J.C.
;
Hull, M.L.
;
Carneiro, G.
;
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (17 Jun 2023 - 24 Jun 2023 : Vancouver, Canada)
2023
Discovery of Graphene Growth Alloy Catalysts Using High-Throughput Machine Learning
Li, X.
;
Shi, J.Q.
;
Page, A.J.