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Article
Pre-conception maternal food intake and the association with childhood allergies
Grieger, J. A., Pelecanos, A. M., Hurst, C., Tai, A. & Clifton, V. L., Aug 2019, In: Nutrients. 11, 8, p. 1-12 12 p., 1851.Research output: Contribution to journal › Article › peer-review
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Precooling for Performance in the Tropics
Brearley, M. & Finn, J., 2003, In: Sportscience. 7, p. 1-5 5 p.Research output: Contribution to journal › Article › peer-review
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Precursory effects on entrepreneurial behaviour in the agri-food industry
Yaseen, A., Saleem, M. A., Zahra, S. & Israr, M., 1 Jan 2018, In: Journal of Entrepreneurship in Emerging Economies. 10, 1, p. 2-22 21 p.Research output: Contribution to journal › Article › peer-review
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Pre-Dalslandian deformation and recrystallization in the basement of the Dalslandian Supracrustals, Grenvillian (Sveconorwegian) Belt, Southwest Sweden
Jakobsen, H., Munksgaard, N. & Zeck, H. P., 1983, In: Geologiska Foreningens i Stockholm Forhandlinger. 105, 3, p. 205-212 8 p.Research output: Contribution to journal › Article › peer-review
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Predation by introduced cats Felis catus on Australian frogs: Compilation of species records and estimation of numbers killed
Woinarski, J. C. Z., Legge, S. M., Woolley, L. A., Palmer, R., Dickman, C. R., Augusteyn, J., Doherty, T. S., Edwards, G., Geyle, H., McGregor, H., Riley, J., Turpin, J. & Murphy, B. P., Oct 2020, In: Wildlife Research. 47, 8, p. 580-588 9 p.Research output: Contribution to journal › Article › peer-review
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Predation by the saltwater crocodile (Crocodylus porosus) on sea turtle adults, eggs, and hatchlings
Whiting, S. & Whiting, A., 1 Dec 2011, In: Chelonian Conservation and Biology. 10, 2, p. 198-205 8 p.Research output: Contribution to journal › Article › peer-review
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Predation of artificial ground nests in Australian tropical savannas: inverse edge effects
Fraser, F. & Whitehead, P., 2005, In: Wildlife Research. 32, 4, p. 313-319 7 p.Research output: Contribution to journal › Article › peer-review
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Predator satiation and recruitment in a mast fruiting monocarpic forest herb
Tsvuura, Z., Griffiths, M. E., Gunton, R. & Lawes, M., Mar 2011, In: Annals of Botany. 107, 3, p. 379-387 9 p.Research output: Contribution to journal › Article › peer-review
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Predators shape sedimentary organic carbon storage in a coral reef ecosystem
Atwood, T. B., Madin, E. M. P., Harborne, A. R., Hammill, E., Luiz, O. J., Ollivier, Q. R., Roelfsema, C. M., Macreadie, P. I. & Lovelock, C. E., 3 Aug 2018, In: Frontiers in Ecology and Evolution. 6, AUG, p. 1-11 11 p., 110.Research output: Contribution to journal › Article › peer-review
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Pre-deployment Heat Acclimatization Guidelines for Disaster Responders
Brearley, M. B., 2015, In: Prehospital and Disaster Medicine. 31, 1, p. 85-89 5 p.Research output: Contribution to journal › Article › peer-review
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Prediabetes and cardiovascular complications study (PACCS): International collaboration 4 years' summary and future direction
Nwose, E. U., Richards, R. S., Bwititi, P. T., Igumbor, E. O., Oshionwu, E. J., Okolie, K., Onyia, I. C., Pokhrel, A., Gyawali, P., Okuzor, J. N., Oguoma, V., Gardiner, F. W. & Wang, L., 11 Dec 2017, In: BMC Research Notes. 10, 1, p. 1-6 6 p., 730.Research output: Contribution to journal › Article › peer-review
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Predictability of Recurrence using Immunohistochemistry to delineate Surgical Margins in mucosal Head and Neck Squamous Cell Carcinoma (PRISM-HNSCC): study protocol for a prospective, observational and bilateral study in Australia and India
Joseph, S., Janakiraman, R., Chacko, G., Jayaraj, R., Thomas, M., Thomas, M. & Mukhopadhyay, S., 1 Oct 2017, In: BMJ Open. 7, 10, p. 1-7 7 p., e014824.Research output: Contribution to journal › Article › peer-review
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Predicting Absolute Risk of Type 2 Diabetes Using Age and Waist Circumference Values in an Aboriginal Australian Community
Adegbija, O., Hoy, W. & Wang, Z., 2015, In: PLoS One. 10, 4, e0123788.Research output: Contribution to journal › Article › peer-review
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Predicting Alcohol Pre-Drinking in Australian Undergraduate Students Using an Integrated Theoretical Model
Caudwell, K. M. & Hagger, M. S., 1 Jul 2015, In: Applied Psychology: Health and Well-Being. 7, 2, p. 188-213 26 p.Research output: Contribution to journal › Article › peer-review
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Predicting avian distributions to evaluate spatiotemporal overlap with locust control operations in eastern Australia
Szabo, J., Davy, P., Hooper, M. J. & Astheimer, L. B., 2009, In: Ecological Applications. 19, 8, p. 2026-2037 12 p.Research output: Contribution to journal › Article › peer-review
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Predicting community earthquake preparedness: A cross-cultural comparison of Japan and New Zealand
Paton, D., Bajek, R., Okada, N. & McIvor, D., 2010, In: Natural Hazards. 54, 3, p. 765-781 17 p.Research output: Contribution to journal › Article › peer-review
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Predicting delay in residents' decisions on defending v. evacuating through antecedents of decision avoidance
McNeill, I., Dunlop, P., Skinner, T. & Morrison, D., 2015, In: International Journal of Wildland Fire. 24, 2, p. 153-161 9 p.Research output: Contribution to journal › Article › peer-review
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Predicting folivorous primate abundance: Validation of a nutritional model
Chapman, C., Chapman, L., NAUGHTON-TREVES, L., Lawes, M. & McDowell, L., 2004, In: American Journal of Primatology. 62, 2, p. 55-69 15 p.Research output: Contribution to journal › Article › peer-review
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Predicting high temperature mechanical properties of CrN and CrAlN coatings from in-situ synchrotron radiation X-ray diffraction
Mohammadpour, E., Jiang, Z. T., Altarawneh, M., Xie, Z., Zhou, Z. F., Mondinos, N., Kimpton, J. & Dlugogorski, B. Z., 29 Jan 2016, In: Thin Solid Films. 599, January, p. 98-103 6 p.Research output: Contribution to journal › Article › peer-review
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Predicting intention to quit in the call centre industry: does the retail model fit?
Zhong, M., MELLOR, D., Moore, K. & Firth, L., 2006, In: Journal of Managerial Psychology. 21, 3, p. 231-243 13 p.Research output: Contribution to journal › Article › peer-review
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Predicting Intention to Use Nicotine Replacement Therapy in People Attending Residential Treatment for Substance Dependence
Kelly, P. J., Townsend, C. J., Osborne, B. A., Baker, A. L., Deane, F. P., Keane, C., Ingram, I. & Lunn, J., 3 Apr 2018, In: Journal of Dual Diagnosis. 14, 2, p. 120-129 10 p.Research output: Contribution to journal › Article › peer-review
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Predicting likelihood of legitimate data loss in email DLP
Faiz, M. F., Arshad, J., Alazab, M. & Shalaginov, A., Sep 2020, In: Future Generation Computer Systems. 110, p. 744-757 14 p.Research output: Contribution to journal › Article › peer-review
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Predicting multiple criteria of criminal behavior with HEXACO domains and facets
Petrovic, B., Medjedovic, J., Savic, M. & Zeleskov Doric, J., 2014, In: Personality and Individual Differences. 60, Supplement, p. S40-S40 1 p.Research output: Contribution to journal › Article › peer-review
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Predicting Novel Riparian Ecosystems in a Changing Climate
Catford, J. A., Naiman, R. J., Chambers, L. E., Roberts, J., Douglas, M. & Davies, P., 2013, In: Ecosystems. 16, 3, p. 382-400 19 p.Research output: Contribution to journal › Article › peer-review
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Predicting positive and negative change in expeditioners at 2-months and 12-months post Antarctic employment
Moult, C., Norris, K., Paton, D. & Ayton, J., 2015, In: The Polar Journal . 5, 1, p. 128-145 18 p.Research output: Contribution to journal › Article › peer-review
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Predicting Problem Gambling Severity: Interplay between Emotion Dysregulation and Gambling-related Cognitions
Buen, A. & Flack, M., 31 May 2021, In: Journal of Gambling Studies. 2021, p. 1-16 16 p.Research output: Contribution to journal › Article › peer-review
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Predicting Risk-Mitigating Behaviors From Indecisiveness and Trait Anxiety: Two Cognitive Pathways to Task Avoidance
McNeill, I. M., Dunlop, P., Skinner, T. & Morrison, D. L., Feb 2016, In: Journal of Personality. 84, 1, p. 36-45 10 p.Research output: Contribution to journal › Article › peer-review
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Predicting spatio-temporal distribution for eastern Australian birds using Birds Australia's Atlas data: Survey method, habitat and seasonal effects
Szabo, J., Davy, P., Hooper, M. J. & Astheimer, L. B., 2007, In: Emu. 107, 2, p. 89-99 11 p.Research output: Contribution to journal › Article › peer-review
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Predicting species distributions for conservation decisions
Guisan, A., Tingley, R., Baumgartner, J., Naujokaitis-Lewis, I., Sutcliffe, P., Tulloch, A., Regan, T., Brotons, L., McDonald-Madden, E., Mantyka-Pringle, C., Martin, T., Rhodes, J., Maggini, R., Setterfield, S., Elith, J., Schwartz, M., Wintle, B., Broennimann, O., Austin, M., Ferrier, S. & 3 others, , 2013, In: Ecology Letters. 16, 12, p. 1424-1435 12 p.Research output: Contribution to journal › Article › peer-review
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Predicting the causative pathogen among children with osteomyelitis using Bayesian networks: Improving antibiotic selection in clinical practice
Wu, Y., McLeod, C., Blyth, C., Bowen, A., Martin, A., Nicholson, A., Mascaro, S. & Snelling, T., Jul 2020, In: Artificial Intelligence in Medicine. 107, p. 1-11 11 p., 101895.Research output: Contribution to journal › Article › peer-review
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Predicting the Clinical Outcome of Severe Falciparum Malaria in African Children: Findings From a Large Randomized Trial
Von Seidlein, L., Olaosebikan, R., Hendriksen, I., Lee, S. J., Adedoyin, O. T., Agbenyega, T., Nguah, S. B., Bojang, K., Deen, J., Evans, J., Fanello, C., Gomes, E., Pedro, A., Kahabuka, C., Karema, C., Kivaya, E., Maitland, K., Mokuolu, O. A., Mtove, G., Mwanga-Amumpaire, J. & 13 others, , 15 May 2012, In: Clinical Infectious Diseases. 54, 8, p. 1080-1090 11 p.Research output: Contribution to journal › Article › peer-review
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Predicting the geographical distributions of the macaque hosts and mosquito vectors of Plasmodium knowlesi malaria in forested and non-forested areas
Moyes, C., Shearer, FM., Huang, Z., Wiebe, A., Gibson, H. S., Nijman, V., Mohd-Azlan, J., Brodie, J., Malaivijitnond, S., Linkie, M., Samejima, H., O'Brien, T. G., Trainor, C., Hamada, Y., Giordano, A., Kinnaird, MF., Elyazar, I., Sinka, M., Vythilingam, I., Bangs, M. & 4 others, , 2016, In: Parasites and Vectors. 9, 1, p. 1-12 12 p.Research output: Contribution to journal › Article › peer-review
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Predicting the impact of pneumococcal conjugate vaccine programme options in Vietnam
Le Polain De Waroux, O., Edmunds, W. J., Takahashi, K., Ariyoshi, K., Mulholland, E. K., Goldblatt, D., Choi, Y. H., Anh, D. D., Yoshida, L. M. & Flasche, S., 2018, In: Human Vaccines and Immunotherapeutics. 14, 8, p. 1939-1947 9 p.Research output: Contribution to journal › Article › peer-review
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Predicting the Influence of Streamflow on Migration and Spawning of a Threatened Diadromous Fish, the Australian Grayling Prototroctes Maraena
Koster, W. M., Crook, D. A., Dawson, D. R., Gaskill, S. & Morrongiello, J. R., Mar 2018, In: Environmental Management. 61, 3, p. 443-453 11 p.Research output: Contribution to journal › Article › peer-review
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Predicting the potential distribution of the beaded lizard and identification of priority areas for conservation
Domiguez-Vega, H., Monroy-Vilchis, O., Balderas-Valdivia, C., Gienger, C. & Ariano-sanchez, D., Aug 2012, In: Journal for Nature Conservation. 20, 4, p. 247-253 7 p.Research output: Contribution to journal › Article › peer-review
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Predicting the probability of large carnivore occurrence: A strategy to promote crocodile and human coexistence
Campbell, H., Dwyer, R., Wilson, H., Irwin, T. & Franklin, C., Aug 2015, In: Animal Conservation. 18, 4, p. 387-395 9 p.Research output: Contribution to journal › Article › peer-review
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Predicting the spatial distribution of gambling vulnerability: An application of gravity modeling using ABS Mesh Blocks
DORAN, B. & Young, M., 2009, In: Applied Geography. 30, 1, p. 141-152 12 p.Research output: Contribution to journal › Article › peer-review
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Predicting the Timing and Magnitude of Tropical Mosquito Population Peaks for Maximizing Control Efficiency
YANG, G., BROOK, B. & Bradshaw, C., 2009, In: PLoS Neglected Tropical Diseases. 3, 2, p. e385-Research output: Contribution to journal › Article › peer-review
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Predicting total lengths of spectacled Caiman (Caiman crocodilus) from skin measurements: A tool for managing the skin trade
Webb, G., Brien, M., Manolis, C. & Medrano-Bitar, S., 2012, In: Herpetological Conservation and Biology. 7, 1, p. 16-26 11 p.Research output: Contribution to journal › Article › peer-review
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Predicting undergraduate nursing students’ willingness to care for older adults: A multicenter cross-sectional study in Asia
Liu, X-L., Cheng, H. & Lam, S. C., Mar 2022, In: Nursing Open. 9, 2, p. 1402-1411 10 p.Research output: Contribution to journal › Article › peer-review
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Predicting uptake of continuous positive airway pressure (CPAP) therapy in obstructive sleep apnoea (OSA): a belief-based theoretical approach
Skinner, T., McNeil, L., Olaithe, M., Eastwood, P., Hillman, D., Phang, J., de Regt, T. & Bucks, R., Dec 2013, In: Sleep and Breathing. 17, 4, p. 1229-1240 12 p.Research output: Contribution to journal › Article › peer-review
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Predicting vicarious traumatization in those indirectly exposed to bushfires
Byrne, M. K., Lerias, D. & Sullivan, N. L., Aug 2006, In: Stress and Health. 22, 3, p. 167-177 11 p.Research output: Contribution to journal › Article › peer-review
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Prediction of cardiovascular disease risk using waist circumference among Aboriginals in a remote Australian community
Wang, Z., 31 Jan 2015, In: BMC Public Health. 15, p. 1-9 9 p., 57.Research output: Contribution to journal › Article › peer-review
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Prediction of energy consumption and evaluation of affecting factors in a full-scale WWTP using a machine learning approach
Bagherzadeh, F., Nouri, A. S., Mehrani, M-J. & Thennadil, S., Oct 2021, In: Process Safety and Environmental Protection. 154, p. 458-466 9 p.Research output: Contribution to journal › Article › peer-review
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Prediction of kidney-related outcomes in patients with type 2 diabetes
Jardine, M., Hata, J., Woodward, M., Perkovic, V., Ninomiya, T., Arima, H., Zoungas, S., Cass, A., Patel, A., Marre, M., Mancia, G., Mogensen, C., Poulter, N. & Chalmers, J., 2012, In: American Journal of Kidney Diseases. 60, 5, p. 770-778 9 p.Research output: Contribution to journal › Article › peer-review
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Prediction of Landsliding using Univariate Forecasting Models
Aggarwal, A., Rani, A., Sharma, P., Kumar, M., Shankar, A. & Alazab, M., Jan 2022, In: Internet Technology Letters. 5, 1, p. 1-6 6 p., e209.Research output: Contribution to journal › Article › peer-review
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Prediction of Sediment Yield in a Data-Scarce River Catchment at the Sub-Basin Scale Using Gridded Precipitation Datasets
Ijaz, M. A., Ashraf, M., Hamid, S., Niaz, Y., Waqas, M. M., Tariq, M. A. U. R., Saifullah, M., Bhatti, M. T., Tahir, A. A., Ikram, K., Shafeeque, M. & Ng, A. W. M., 1 May 2022, In: Water: an open access journal. 14, 9, p. 1-21 21 p., 1480.Research output: Contribution to journal › Article › peer-review
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Prediction of track performance in competitive BMX riders using laboratory measures
Gahreman, D., 30 Jun 2020, In: Journal of Science and Cycling. 9, 1, p. 44-56 13 p.Research output: Contribution to journal › Article › peer-review
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Prediction versus reality: The use of mathematical models to predict elite performance in swimming and athletics at the Olympic Games
Heazlewood, I., 2006, In: Journal of Sports Science and Medicine. 5, p. 541-547 7 p.Research output: Contribution to journal › Article › peer-review
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Predictive analysis across spatial scales links zoonotic malaria to deforestation
Brock, P. M., Fornace, K. M., Grigg, M. J., Anstey, N. M., William, T., Cox, J., Drakeley, C. J., Ferguson, H. M. & Kao, R. R., 16 Jan 2019, In: Proceedings of the Royal Society B: Biological Sciences. 286, 1894, p. 1-9 9 p., 20182351.Research output: Contribution to journal › Article › peer-review
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