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Faculty of Engineering: Recent submissions

    • Assessing the economic potential of large-scale, carbonate-formation-free CO2 electrolysis 

      Jing, Xuechen; Li, Fengwang; Wang, Yuhang
      Published 2022
      Electrochemical CO2 reduction is a potential approach to manufacture carbon-neutral fuels and chemicals. To deploy CO2 electrolysis in the practical production of fuels and chemicals, energetically efficient electrolyzers ...
      Open Access
      Article
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    • The antimicrobial efficacy of plasma-activated water against Listeria and E. coli is modulated by reactor design and water composition 

      Rothwell, Joanna G; Alam, David; Carter, Dee A.; Soltani, Behdad; McConchie, Robyn; Zhou, Renwu; Cullen, Patrick J.; Mai-Prochnow, Anne
      Published 2021
      Aims: This study aimed to compare the efficacy of plasma-activated water (PAW) generated by two novel plasma reactors against pathogenic foodborne illness organisms. Methods and results: The antimicrobial efficacy of ...
      Open Access
      Article
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    • A census-based housing vulnerability index for typhoon hazards in the Philippines 

      Healey, Sarah; Lloyd, Sophie; Gray, Jasmine; Opdyke, Aaron
      Published 2022
      The Sendai Framework for Disaster Risk Reduction recognises housing as an important element of vulnerability, however, there remains limited understanding of how sub-national housing vulnerability varies spatially. This ...
      Open Access
      Article
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    • Immigrant settlement patterns, transit accessibility, and transit use 

      Allen, Jeff; Farber, Steven; Greaves, Stephen; Clinton, Geoffrey; Wu, Hao; Sarkar, Somwrita; Levinson, David M.
      Published 2021
      Public transit is immensely important among recent immigrants for enabling daily travel and activity participation. The objective of this study is to examine whether immigrants settle in areas of high or low transit ...
      Open Access
      Article
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    • The ensemble approach to forecasting: A review and synthesis 

      Wu, Hao; Levinson, David M.
      Published 2021
      Ensemble forecasting is a modeling approach that combines data sources, models of different types, with alternative assumptions, using distinct pattern recognition methods. The aim is to use all available information in ...
      Open Access
      Article
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