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  1. 101
  2. 102

    Investigation of Synthetic Proteins Produced via Automated Fast-Flow Peptide Synthesis by Cowfer, Amanda Elizabeth

    Published 2024
    “…I will discuss the iterative steps my team took to vary both chemical and mechanical and control variables to improve per-coupling yield enough to enable access to full-length single-domain proteins. …”
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    Thesis
  3. 103
  4. 104
  5. 105

    Layer-by-layer aided β-cyclodextrin nanofilm for precise organic solvent nanofiltration by Li, Xin, Li, Can, Goh, Kunli, Chong, Tzyy Haur, Wang, Rong

    Published 2022
    “…Compared to the interlayer-free OSN membrane, a smoother selective layer with higher crosslinking degree is obtained for our developed membranes, enabling an improved organic dye rejection (e.g., 91.9% for methyl orange and 98.8% for brilliant blue R). …”
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    Journal Article
  6. 106

    Spectral-domain optical coherence tomography with dual-balanced detection for auto-correlation artifacts reduction by Bo, En, Liu, Xinyu, Chen, Si, Yu, Xiaojun, Wang, Xianghong, Liu, Linbo

    Published 2016
    “…This system employed a free-space Michelson interferometer, at the refraction plane of whose beam splitter, the light reflected experienced a π/2 phase shift with respect to the light transmitted. …”
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    Journal Article
  7. 107

    Specification and Planning of UAV Missions: A Process Algebra Approach by Karaman, Sertac, Rasmussen, Steven, Kingston, Derek, Frazzoli, Emilio

    Published 2010
    “…In particular, a tree-search algorithm is presented that computes a feasible plan in polynomial time. …”
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    Article
  8. 108

    Mean square consensus of multi-agent systems over fading networks with directed graphs by Xu, Liang, Zheng, Jianying, Xiao, Niao, Xie, Lihua

    Published 2020
    “…It is then shown that the mean square consensusability is solely determined by the edge state dynamics on a directed spanning tree. As a result, sufficient conditions are provided for mean square consensus over fading networks with directed graphs in terms of fading parameters, the network topology and the agent dynamics. …”
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    Journal Article
  9. 109

    Real-time visual object classification for augmented reality by Xu, Haoran

    Published 2020
    “…Furthermore, the project also researched on implementation of a novel approach of hierarchical image classification. A tree-based multi-model system was developed with a special prediction mechanism. …”
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    Final Year Project (FYP)
  10. 110

    Kinetic modelling of 70S ribosome and F1-ATPase by Le, Quang Luan

    Published 2021
    “…The proteome consists of free amino acids, metabolic proteins and ribosomes. …”
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    Thesis-Doctor of Philosophy
  11. 111

    Persistent symptoms and association with inflammatory cytokine signatures in recovered coronavirus disease 2019 patients by Ong, Sean Wei Xiang, Fong, Siew-Wai, Young, Barnaby Edward, Chan, Yi-Hao, Lee, Bernett, Siti Naqiah Amrun, Chee, Rhonda Sin-Ling, Yeo, Nicholas Kim-Wah, Tambyah, Paul, Pada, Surinder, Tan, Seow Yen, Ding, Ying, Renia, Laurent, Leo, Yee Sin, Ng, Lisa F. P., Lye, David C.

    Published 2022
    “…Background: The complications and sequelae of coronavirus disease 2019 (COVID-19) and their effect on long-term health are unclear, and the trajectory of associated immune dysregulation is poorly understood. …”
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    Journal Article
  12. 112

    Hyperbolic one-relator groups by Linton, M

    Published 2024
    “…These new groups, moreover, admit explicit decompositions as graphs of free groups with adjoined roots. In order to obtain this result, we characterize $\mathcal{2}$-free one-relator groups with exceptional intersection in terms of Christoffel words, show that hyperbolic one-relator groups have quasi-convex Magnus subgroup, and build upon the one-relator tower machinery developed in previous work of the author.…”
    Journal article
  13. 113

    Global solutions of the one-dimensional compressible Euler equations with nonlocal interactions via the inviscid limit by Carrillo, JA, Chen, G-QG, Yuan, D, Zatorska, E

    Published 2025
    “…The main difficulties in this paper arise from the appearance of the nonlocal terms. In particular, some uniform higher moment estimates for the compressible Navier-Stokes equations on expanding intervals with stress-free boundary conditions are obtained by careful design of the approximate initial data.…”
    Journal article
  14. 114

    Dataset of parent-child hyperscanning functional near-infrared spectroscopy recordings by Bizzego, Andrea, Gabrieli, Giulio, Azhari, Atiqah, Lim, Mengyu, Esposito, Gianluca

    Published 2022
    “…The term “hyperscanning” refers to the simultaneous recording of multiple individuals’ brain activity. …”
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    Journal Article
  15. 115
  16. 116

    Detection of false data injection attacks in smart grid cyber-physical systems by Li, Beibei

    Published 2019
    “…Recent studies have investigated the possibilities of proactively detecting FmDI attacks on smart grid CPSs by using D-FACTS devices. We term this approach as proactive false data detection (PFDD). …”
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    Thesis
  17. 117

    Electric-field control of magnetism in multiferroic composites by Ding, Hui

    Published 2015
    “…Multiferroic materials have at least two of the ferroic properties, namely ferroelectricity, ferro (anitferro) magnetism and ferroelasticity.The term usually refers to materials that possess both ferroelectric and magnetic orders. …”
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    Thesis
  18. 118

    Optimization, encapsulation and characterization of bromelain-generated angiotensin I-converting enzyme (Ace) - inhibitory hydrolysates from stone fish (Actinopyga lecanora Jaeger) by Auwal, Shehu Muhammad

    Published 2018
    “…The result of in vitro efficacy indicated significantly higher (p˂0.05) ACE-inhibitory activity of 51.96% for the nanoparticles compared to 36.84% for the free hydrolysates following their simulated gastrointestinal digestion. …”
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    Thesis
  19. 119

    A generalized stereotypical trust model by Fang, Hui, Zhang, Jie, Sensoy, Murat, Thalmann, Nadia Magnenat

    Published 2013
    “…We then propose a fuzzy semantic decision tree (FSDT) learning method to construct trust stereotypes that generalizes over seller non-nominal attributes by splitting their values in a fuzzy manner, and generalizes over nominal attributes by replacing their specific values with more general terms according to the ontology. …”
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    Conference Paper
  20. 120

    Machine learning attack on hardware implementation of one-way function by Lauw, Andri Renardi

    Published 2017
    “…It turns out that Support Vector Machine (SVM) is the most effective learning algorithm among all the six algorithms tested (Naïve Bayes, Decision Tree, Logistic Regression, Gradient Boosting, Neural Network, and SVM) to attack the PUF in terms of effectiveness and efficiency, which has prediction accuracy of 99% with relatively small amount of training data. …”
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    Final Year Project (FYP)