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    A Non‐Intrusive Machine Learning Framework for Debiasing Long‐Time Coarse Resolution Climate Simulations and Quantifying Rare Events Statistics by Barthel Sorensen, B., Charalampopoulos, A., Zhang, S., Harrop, B. E., Leung, L. R., Sapsis, T. P.

    Published 2024
    “…As fully‐resolved climate simulations remain computationally intractable, policy makers must rely on coarse‐models to quantify risk for extremes. However, coarse models suffer from inherent bias due to the ignored “sub‐grid” scales. …”
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    Article
  18. 258

    Development of a Computational Tool for Simplifying Engineering Tradeoff Analysis for the Design of Cost-Optimized, Time-Variant, Electrodialysis Reversal Desalination Systems by Costello, Jeffrey

    Published 2024
    “…This study presents an analytical tool for characterizing a wide swath of the designspace for time-variant electrodialysis reversal brackish water desalination (TEDR) while avoiding the computation time oft required by mechanistic models of electrodialysis reversal (EDR) and time-variant processes. …”
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    Thesis
  19. 259

    Development of multiplex real-time TaqMan reverse-transcription PCR (RT-PCR) for rapid diagnosis of hand, foot and mouth disease. by Lee, Si Qi.

    Published 2009
    “…In this study, a multiplex real-time TaqMan reverse transcriptase polymerase chain reaction (RT-PCR) was developed to demonstrate a rapid and sensitive method in detecting and differentiating EV71 and CA16, using CFX96 Real-Time PCR Detection System (Bio-Rad, USA). …”
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    Final Year Project (FYP)
  20. 260

    Anti-fouling thin film composite (TFC) polyamide reverse osmosis (RO) membranes based on piezoelectric polyvinylidene fluoride (PVDF) substrates by Fu, Jia Shen

    Published 2024
    “…Reverse osmosis (RO) technology, which exhibits advantages such as lower energy consumption, reduced footprint and higher water quality as compared to thermal-based technologies, has become one of the main technologies in desalination industry. …”
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    Thesis-Master by Research