18397 research outputs found
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Artificial Intelligence for Fast Data Analysis and Fast Transient Detection Applications
No full textThis thesis explores the integration of artificial intelligence with machine learning techniques to enhance the study of transient astronomy. By developing bespoke machine learning models, the research aims to automate the identification of fast cosmic explosions, known as transients, and discover new classes of short-duration optical transients. This work contributes significantly to the field of transient astronomy by improving the efficiency and accuracy of transient detection, thereby advancing our understanding of the universe and its dynamic events. Through this innovative approach, the thesis presents a valuable contribution to the methodology and science of observing the cosmos
Applied and collaborative? Essays on the changing nature of corporate scientific research
No full textCorporate science, intended as scientific research conducted by business companies, is a key input to innovation worldwide. Some recent evidence has documented its quantitative decline since its heyday in the late 1960s, as measured by the shrinking share of scientific publications by business-affiliated authors, mostly due to the downsizing or closure of large corporate laboratories. This thesis complements this evidence, showing that firms are not disengaging from scientific research but are changing their organisation by moving from vertically integrated R&D activities towards a more dynamic system of applied in-house research and collaborations with universities
Investigation of Textile Reinforcement for 3D Concrete Printing Applications
No full text3D concrete printing technology is a rapidly growing automation method that could transform the construction industry. However, using 3D concrete printing for large-scale structures is challenging because of the difficulty in providing steel rebars. This thesis explores the potential of using high-strength, easily formable, and non-corrosive textile reinforcements like glass, carbon and basalt in 3D concrete printed structures. Textile reinforcement not only enhances the strength of 3D printed structures but also makes it easier to create complex and architecturally appealing shapes. Additionally, these slender, aesthetically pleasing textile-reinforced 3D concrete printed structures reduce the carbon footprint, promoting sustainable construction
Some Issues of Parameter Estimation for Linear Systems
No full textParameter estimation is the process of using system input-output observations to find a set of optimal parameters for a parametric model that allows the model to describe the behaviour of the system. In this thesis, two new parameter estimation methods are proposed: one contributes to the study of observer-based parameter estimation methods by introducing a new sliding mode observer, and the other focuses on the new method design of parameter estimation in the frequency domain. It is believed that the new parameter estimation methodologies developed in this research can be well applied to a wide range of control system designs
Soft electro- and photo- active hydrogels for neural cell stimulation
No full textRecent advances in neuroscience and biomedical engineering underscore the need for innovative neural stimulation materials and interfaces. Current challenges include biocompatibility and mechanical mismatch. This research develops a soft, electro- and photo-active hydrogel integrating graphene oxide (GO) and gold nanorods (AuNRs) within gelatin methacryloyl (GelMA). Key goals are optimizing material ratios, enhancing mechanical properties, and evaluating electrical and optical stimulation effects on neural cells. The hydrogel shows promising mechanical, electrochemical, and biocompatible properties, with potential applications in neural interfaces, tissue engineering, and regenerative medicine
Quantitative microscopy and systems biology approach to probe cellular heterogeneity in neuronal system and T cell development
No full textThis thesis investigates cellular response heterogeneity, which leads to distinct cell states, essential for understanding biological functions and diseases. Using microscopy and mathematical modeling, it explores variability in hippocampal neurons, microglia, and developing T cells. It outlines experimental protocols and modeling techniques to quantify and analyze cell states, providing insights crucial for drug development and translational research. The methodologies developed are applicable beyond the systems studied, offering a versatile toolkit for examining cellular heterogeneity in various biological contexts.</p
The lived experiences of middle managers in adapting global influences: a case study
No full textThis study delves into how middle managers adapt to global influences such as strategies and policies through the relationship between sensemaking and adapting. It uncovers a dual sensemaking process affecting both sense and action, prompting a reassessment of senior leaders' approach to implementing global strategies. Additionally, it sheds light on middle managers overlooked adaptive capability in co-creating these global influences
Morphology control of nanocatalysts for clean energy generation
No full textNanocatalysts are tiny particles that speed up chemical reactions. This thesis investigates the impact of morphology on nanocatalysts, specifically how it affects their activity and stability to produce green hydrogen and hydrogen peroxide. The unique nanostructures can expose active sites, increase surface area, and enhance mass transfer and electron transport to improve catalytic performance, thereby, reducing energy consumption and cost
Dementia in Victorian Prisons: Estimating the Prevalence and Experience of Undetected Diagnoses Suggestive of Dementia in a Sample of Older Prisoners
No full textThe prison population is ageing, bringing with it significant challenges for managing age-related illnesses, like dementia. Prisoners are an already vulnerable population with unique health concerns which may increase their chances of developing dementia. The prison environment makes managing dementia for prisoners particularly challenging, but important to address. This thesis explores dementia in Victorian prisons through establishing an estimate of the prevalence of dementia in prisoner cohorts, through exploring the experience of prison for older prisoners and through assessing staff's ability to detect and support prisoners with dementia. This research is a crucial first step to ensuring appropriate service delivery
Evaluating Specific Drivers of Antisocial Cognitions and Personality: A Desistance Informed Perspective
No full textThis research investigates innovative psychological measures within a correctional setting to better understand various risk factors for re-offending. It utilises the risk-need-responsivity model and integrates findings with a desistance-informed perspective to explore the progression from active offending to crime cessation, and ultimately, to prosocial reintergration. The aim is to contribute to a more comprehensive understanding of how individuals reintergrate into society following a period of criminal behaviour. Additionally, it hopes to encourage further research into desistance practices, promoting rehabilitation efforts that are more strengths-based, holistic, and humane