Showing 61 - 80 results of 4,776 for search '((cheers OR cher) OR ((chee OR when) OR ((hern OR hern) OR sher)))*', query time: 0.20s Refine Results
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    Factors affecting the decision making process of customer when their salesperson jumps ship to another firm : an analysis of the Singapore insurance industry by Soh, Yong Joo, Lim, Elijah Vincent Deyuan, Yan, Naung Htut

    Published 2011
    “…Results showed that customers will choose to follow their agent to a new firm when they are very satisfied with their agent; they trust their agent and they are loyal to their agent. …”
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    Final Year Project (FYP)
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    Determining optimal timing of birth for women with chronic or gestational hypertension at term: the WILL (When to Induce Labour to Limit risk in pregnancy hypertension) randomised trial by Magee, LA, Kirkham, K, Tohill, S, Gkini, E, Moakes, CA, Dorling, J, Green, M, Hutcheon, JA, Javed, M, Kigozi, J, Mol, BWM, Singer, J, Hardy, P, Stubbs, C, Thornton, JG, von Dadelszen, P, WILL Trial Study Group

    Published 2024
    “…A total of 403 participants (37.3% of target) were randomised to the intervention (n = 201) or control group (n = 202), from 3 June 2019 to 19 December 2022, when the funder stopped the trial for delayed recruitment. …”
    Journal article
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    The effects of music-induced emotions on English-Chinese bilinguals' resolution of standing ambiguity. by Ho, Sher Min.

    Published 2012
    “…The biased sentences are manipulated in a way that adjectives are added to both NP1 and NP2 where the context of attaching the relative clause to NP1 would give rise to a sadder context than when attached to NP2. Since music is proven to have an effect on its listeners’ emotions, whether directly or indirectly (Trainor, 2003; Levinson, 1997), sad music is used to induce sad emotional cues for the context of reading the sentences. 27 English-Chinese bilinguals in Singapore participated in two experiments, 9 in Experiment 1 and the other 18 in Experiment 2. …”
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    Final Year Project (FYP)
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    AI techniques in CFD: leveraging physical priors with deep learning to improve on numerical solvers by Loh, Jessica Sher En

    Published 2025
    “…Additionally, it extends the use of residual training to improve flow field prediction for a GNN scenario with immersed object, when low resolution data is available. Lastly, the third part aims to enhance flow predictions around complex geometries, which may often be deconstructed into multiple, simple bodies, by leveraging existing data on these single geometry flow fields. …”
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    Thesis-Doctor of Philosophy
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    Driving home by Ulfahzatul Tysha Sher Zaman

    Published 2015
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    Final Year Project (FYP)
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