Recent submissions 

Curtin Research Publications: Recent submissions

Now showing items 2611-2620 of 70705

    • Electrolyte materials for intermediate-temperature solid oxide fuel cells
      Shi, Huangang; Su, Chao ; Ran, R.; Cao, Jiafeng; Shao, Zongping (2020)
      Solid oxide fuel cells (SOFCs) directly convert chemical energy that is stored in a wide range of fuels into direct current electricity, with high efficiency and low emissions, via a series of electrochemical reactions ...
    • Nonthermal Plasma Treatment for Electrocatalysts Structural and Surface Engineering
      Tang, Jiayi; Su, C.; Shao, Zongping (2022)
      Structure and surface modification of electrocatalysts demonstrates a promising lead for achieving excellent electrocatalytic activity and efficiency. Among various surface modification strategies, nonthermal plasma ...
    • Reconstructing the early global dynamics of under-ascertained COVID-19 cases and infections
      Russell, T.W.; Golding, Nick ; Hellewell, J.; Abbott, S.; Wright, L.; Pearson, C.A.B.; van Zandvoort, K.; Jarvis, C.I.; Gibbs, H.; Liu, Y.; Eggo, R.M.; Edmunds, W.J.; Kucharski, A.J.; Deol, A.K.; Villabona-Arenas, C.J.; Jombart, T.; O’Reilly, K.; Munday, J.D.; Meakin, S.R.; Lowe, R.; Gimma, A.; Endo, A.; Nightingale, E.S.; Medley, G.; Foss, A.M.; Knight, G.M.; Prem, K.; Hué, S.; Diamond, C.; Rudge, J.W.; Atkins, K.E.; Auzenbergs, M.; Flasche, S.; Houben, R.M.G.J.; Quilty, B.J.; Klepac, P.; Quaife, M.; Funk, S.; Leclerc, Q.J.; Emery, J.C.; Jit, M.; Simons, D.; Bosse, N.I.; Procter, S.R.; Sun, F.Y.; Clifford, S.; Sherratt, K.; Rosello, A.; Davies, N.G.; Brady, O.; Tully, D.C.; Gore-Langton, G.R. (2020)
      Background: Asymptomatic or subclinical SARS-CoV-2 infections are often unreported, which means that confirmed case counts may not accurately reflect underlying epidemic dynamics. Understanding the level of ascertainment ...
    • Modelling temperature-driven changes in species associations across freshwater communities
      Perrin, S.W.; van der Veen, B.; Golding, Nick ; Finstad, A.G. (2022)
      Due to global climate change–induced shifts in species distributions, estimating changes in community composition through the use of Species Distribution Models has become a key management tool. Being able to determine ...
    • steps: Software for spatially and temporally explicit population simulations
      Visintin, C.; Briscoe, N.J.; Woolley, S.N.C.; Lentini, P.E.; Tingley, R.; Wintle, B.A.; Golding, Nick (2020)
      Species population dynamics are driven by spatial and temporal changes in the environment, anthropogenic activities and conservation management actions. Understanding how populations will change in response to these drivers ...
    • Utilizing general human movement models to predict the spread of emerging infectious diseases in resource poor settings
      Kraemer, M.U.G.; Golding, Nick ; Bisanzio, D.; Bhatt, S.; Pigott, D.M.; Ray, S.E.; Brady, O.J.; Brownstein, J.S.; Faria, N.R.; Cummings, D.A.T.; Pybus, O.G.; Smith, D.L.; Tatem, A.J.; Hay, S.I.; Reiner, R.C. (2019)
      Human mobility is an important driver of geographic spread of infectious pathogens. Detailed information about human movements during outbreaks are, however, difficult to obtain and may not be available during future ...
    • Data Integration for Large-Scale Models of Species Distributions
      Isaac, N.J.B.; Jarzyna, M.A.; Keil, P.; Dambly, L.I.; Boersch-Supan, P.H.; Browning, E.; Freeman, S.N.; Golding, Nick ; Guillera-Arroita, G.; Henrys, P.A.; Jarvis, S.; Lahoz-Monfort, J.; Pagel, J.; Pescott, O.L.; Schmucki, R.; Simmonds, E.G.; O'Hara, R.B. (2020)
      With the expansion in the quantity and types of biodiversity data being collected, there is a need to find ways to combine these different sources to provide cohesive summaries of species’ potential and realized distributions ...
    • Land Use Quantile Regression Modeling of Fine Particulate Matter in Australia
      Wu, Peng ; Song, Yongze (2022)
      Small data samples are still a critical challenge for spatial predictions. Land use regression (LUR) is a widely used model for spatial predictions with observations at a limited number of locations. Studies have demonstrated ...
    • Driving Factors behind Energy‐Related Carbon Emissions in the U.S. Road Transport Sector: A Decomposition Analysis
      Jiang, R.; Wu, Peng ; Wu, C. (2022)
      The U.S. is the second largest contributor to carbon emissions in the world, with its road transport sector being one of the most significant emission sources. However, few studies have been conducted on factors influencing ...
    • Assessing block-level sustainable transport infrastructure development using a spatial trade-off relation model
      Song, Yongze ; Wu, Peng ; Hampson, Keith ; Anumba, C. (2021)
      Increasing quantity and quality of roads are pathways to sustainable road infrastructure development. Understanding quantity-quality relations of road sustainability is critically required for strategic decision making. ...