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𝗕𝗮𝗰𝗸𝗴𝗿𝗼𝘂𝗻𝗱: This thesis examines clinical reasoning in the practice of Chinese medicine and acupuncture, a critical yet under-researched domain. Clinical reasoning is essential for transl...
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This thesis extends the tax avoidance literature by refining the effective tax rate (ETR) as a better proxy for corporate tax aggressiveness (TAG). It challenges the commonly used ETR restriction o...
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Deep learning models, while immensely powerful and capable of revolutionizing various fields, have a critical shortcoming: they are not inherently designed with privacy and security considerations....
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Instance segmentation is a fundamental computer vision problem that identifies individual objects with precise boundaries to differentiate them using an instance mask. It has applications in self-d...
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Nearly half of all Australians now have one or more parents born overseas, with the biggest intake of migrants over the last two decades coming from China and India (ABS, 2021). Skilled migrants no...
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In recent years, distributed generators (DGs) have been developing rapidly to achieve a low-carbon energy transition. Owing to the high conversion efficiency and simple control structure of the DC ...
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The practice-led research project critically examined the possibilities of simulating various garment construction (sewing) techniques within the realm of fashion design education. The investigatio...
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Manipulators are becoming increasingly ubiquitous in human-centric environments, with some even operating in direct physical contact with humans. While consensus exists on the control strategies us...
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Federated learning (FL) has achieved great advances in the field of machine learning that enables multiple devices to jointly train a global model while keeping their own data private. However, het...
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My research explores auction mechanisms and behavioural models in market design. Two chapters focus on the theoretical and experimental study of innovative auction formats in perishable goods marke...