Curtin Theses: Recent submissions
Now showing items 61-70 of 5215
-
(2024)Using methods drawn from oral history and life writing, this study is a creative non-fiction work focused on the life stories of Catholic priests and nuns in South Australia aged over 60 years. This generation of priests ...
-
(2024)Platinum Group Metals (PGMs) are part of the internationally declared Critical Minerals and are typically found in disseminated ultramafic polymetallic deposits. They are crucial for the green energy transition. Australia's ...
-
(2023)This study addresses the increased demand for health products amid the COVID-19 pandemic by proposing supercritical CO2 (Sc-CO2) extraction as an environmentally friendly alternative to Soxhlet extraction for Brucea ...
-
(2024)Harnessing urban wind energy using vertical-axis wind turbines is inefficient due to unpredictable wind conditions. This MPhil study explores extracting unnatural wind energy from cooling tower exhaust air using ...
-
(2024)This research investigates how bilinguals process emotion in their first and second language. It explores whether differences in bilingual profiles affect moral decision-making and emotional word processing, examining the ...
-
(2024)Solar photovoltaic (PV) systems encounter Partial Shading Condition (PSC) issues due to uneven solar irradiance exposure on-site. This thesis presents three novel algorithms to address the PSC issues of PV systems namely, ...
-
(2024)Environmental concerns like plastic pollution and energy crises drive sustainable biopolymer and bioelectricity development. Biomass conversion, especially from macroalgae, addresses climate change. This study optimized ...
-
(2024)This research explored WA public health sector workers' perceptions of mandated workplace training to identify strategies to optimise the uptake and impact of the training. The key finding was that staff are more likely ...
-
(2024)This thesis examined the prescription of water-based circuit exercise training as an alternative to traditional gym-based exercise training in people with stable coronary heart disease. The project found that water-based ...
-
(2024)The thesis aims to predict precious metal market prices using a deep learning model known as Nonlinear AutoRegressive with eXogenous input. Market forecasts of the 58 assets selected are evaluated through portfolio ...