James Curtis and spiritualism in Nineteenth-Century Ballarat
- Authors: Young, Gregory
- Date: 2017
- Type: Text , Thesis , PhD
- Full Text:
- Description: This thesis is about the origins, growth, and decline of spiritualism in nineteenth- century Ballarat. It gives special attention to Rustlings in the Golden City, the religious confessions of James Curtis, a notable Ballarat pioneer and the city’s most active and prominent spiritualist believer and evangelist. In Ballarat, spiritualism was commonly regarded as little more than entertaining humbug, usually derided by the press as delusive nonsense. Though clerics occasionally condemned it as heretical and dangerous, few people took spiritualist ideas and practice seriously. Even so, Ballarat had its small core of devout believers. For these, spiritualism provided a route to direct, intuitive, knowledge of the destiny of the spiritual self, comparable to gnostic liberating self-discovery. Rustlings in the Golden City stands as a classic statement of Victorian-era spiritualism and James Curtis has claim to be regarded as Australia’s greatest nineteenth-century spiritualist. While the commitment of many prominent Australian spiritualists of the period was compromised by credulity, bad faith, and self-interest, James Curtis was guileless and sincere. His writings open a window on a neglected area of nineteenth-century Australian social and religious history. The historiography of the thesis is realist and empiricist, with the predominant methodology critical text-analysis. Its chief source is contemporary newspapers and journals and the publications of spiritualists and their opponents and critics.
- Description: Doctor of Philosophy
- Authors: Young, Gregory
- Date: 2017
- Type: Text , Thesis , PhD
- Full Text:
- Description: This thesis is about the origins, growth, and decline of spiritualism in nineteenth- century Ballarat. It gives special attention to Rustlings in the Golden City, the religious confessions of James Curtis, a notable Ballarat pioneer and the city’s most active and prominent spiritualist believer and evangelist. In Ballarat, spiritualism was commonly regarded as little more than entertaining humbug, usually derided by the press as delusive nonsense. Though clerics occasionally condemned it as heretical and dangerous, few people took spiritualist ideas and practice seriously. Even so, Ballarat had its small core of devout believers. For these, spiritualism provided a route to direct, intuitive, knowledge of the destiny of the spiritual self, comparable to gnostic liberating self-discovery. Rustlings in the Golden City stands as a classic statement of Victorian-era spiritualism and James Curtis has claim to be regarded as Australia’s greatest nineteenth-century spiritualist. While the commitment of many prominent Australian spiritualists of the period was compromised by credulity, bad faith, and self-interest, James Curtis was guileless and sincere. His writings open a window on a neglected area of nineteenth-century Australian social and religious history. The historiography of the thesis is realist and empiricist, with the predominant methodology critical text-analysis. Its chief source is contemporary newspapers and journals and the publications of spiritualists and their opponents and critics.
- Description: Doctor of Philosophy
Learning a trade in New Zealand : On and off the job learning in engineering trades
- Authors: Cannan, James
- Date: 2017
- Type: Text , Thesis , PhD
- Full Text:
- Description: The engineering trades selected for this study were specifically in the automotive and refrigeration/air-conditioning/electrical disciplines, as they are typical of the engineering discipline trade groups studying at institutes of technology and workplaces as apprentices. This research focused on two trade occupations within the engineering industry and investigated differences between pre-apprentice and apprentice experiences in skills and knowledge acquisition and assessment whilst learning on and off the job; that is, studying vocational education at institutes of technology and engaging in practical activities at the workplace. New Zealand has faced dramatic changes in tertiary education over the past 20 years, particularly in the vocational education and training (VET) sector. As a result of these changes there has been a substantial increase in participation in education and training. There is now a far wider range of courses to cater for the needs of learners in the vocational sector as the New Zealand population grows, along with the engineering trade opportunities that are currently available in the workplace. A qualitative research approach was used including interviews, focus groups and questionnaires. The project consisted of case studies based around cohorts of apprentices and pre-apprentices. Lecturers and employers were also included. The findings of the study will inform discussions on the ways in which learning prior to and in the workplace might be more effectively facilitated and managed in the future. It also raises questions about the effectiveness and quality of current training and assessment of engineering trade programs of study within New Zealand, as well as issues in apprenticeships and attrition within specific trades.
- Description: Doctor of Philosophy
- Authors: Cannan, James
- Date: 2017
- Type: Text , Thesis , PhD
- Full Text:
- Description: The engineering trades selected for this study were specifically in the automotive and refrigeration/air-conditioning/electrical disciplines, as they are typical of the engineering discipline trade groups studying at institutes of technology and workplaces as apprentices. This research focused on two trade occupations within the engineering industry and investigated differences between pre-apprentice and apprentice experiences in skills and knowledge acquisition and assessment whilst learning on and off the job; that is, studying vocational education at institutes of technology and engaging in practical activities at the workplace. New Zealand has faced dramatic changes in tertiary education over the past 20 years, particularly in the vocational education and training (VET) sector. As a result of these changes there has been a substantial increase in participation in education and training. There is now a far wider range of courses to cater for the needs of learners in the vocational sector as the New Zealand population grows, along with the engineering trade opportunities that are currently available in the workplace. A qualitative research approach was used including interviews, focus groups and questionnaires. The project consisted of case studies based around cohorts of apprentices and pre-apprentices. Lecturers and employers were also included. The findings of the study will inform discussions on the ways in which learning prior to and in the workplace might be more effectively facilitated and managed in the future. It also raises questions about the effectiveness and quality of current training and assessment of engineering trade programs of study within New Zealand, as well as issues in apprenticeships and attrition within specific trades.
- Description: Doctor of Philosophy
Manipulating a conditioning activity to enhance potentiation and its application to jumping and sprinting performance
- Authors: O'Grady, Mathew
- Date: 2017
- Type: Text , Thesis , PhD
- Full Text:
- Description: Post-activation potentiation (PAP) is the phenomenon where contractile history of a muscle may acutely increase voluntary performance of future contractions that are biomechanically similar (72). In order to exploit the PAP phenomenon, a conditioning activity (CA) is performed to enhance the performance of a subsequent skill. Throughout the literature, a common example of a CA is sets of heavy-loaded squats in order to potentiate subsequent jumping (31,33,39,57,83,116,151,163) or sprinting performance (15,28,39,99). Post-activation potentiation can be used either in a warm-up to acutely enhance performance for competition, or used within a resistance training session to enhance speed-strength, with the intention of producing a greater training stimulus for chronic adaptations. The major issue with the PAP literature is the inconsistent results from study to study. There are many examples within the research that show the positive effects of PAP (44,54,57,62,83,102,133,163), whilst many others have failed to find any increase in performance (42,47,56,81,112,123,141). The results have been inconsistent as the methodology between studies has varied dramatically. These differences include the warm-up used prior to testing sessions, changes in the type of CA (30,54,163), the intensity or load of the CA (19,21,33) and the rest period allocated between the CA and the performance of the skill. Furthermore, it seems that certain individuals respond better to a CA, with most of the literature suggesting that participant strength has a positive correlation with a potentiating response (15,31,44,116,128,129,163). Due to the vast differences in methodologies used throughout the potentiation literature, it is hard for coaches to identify the best practice in order to elicit a positive potentiating effect. Therefore, four studies were designed to address these current gaps within the potentiation literature in order to establish the best methodology to elicit a potentiating response. The first study sought to investigate whether a heavy half-squat CA could further improve jumping after an individualised optimal warm-up. As many of the warm-ups used prior to the baseline measurement in the potentiation research have been insufficient (30,44,69,71,88,102,111,115,140,143,158), it is plausible to suggest that improvements after a CA could be due to general mechanisms of a warm-up, rather than PAP. To investigate this, participants performed six different volumes of warm-ups on six separate days, followed by CMJ and DJ testing. After each participant completed the six warm-ups, their individual optimum warm-up was identified as the warm-up that produced the greatest CMJ relative peak power (RPP). On two separate sessions, a CA of four half-squats at a 5RM load was then added to each individual’s optimum warm-up and a sub-optimum warm-up. Countermovement jump tests were performed before the CA (pre) and then four and eight minutes after the CA. Drop jump testing was performed before the CA (pre) and then six and 10 minutes after the CA. When examining each post-test separately, no improvements in CMJ performance were identified. Furthermore, for both the optimum and sub-optimum warm-up conditions, DJ performance significantly decreased at all post-tests (p < 0.05). When each individuals best recovery period was considered (post-best), both the maximum and mean CMJ jump height significantly increased above baseline measures for the optimum warm-up condition. No other CMJ or DJ variable displayed any significant change after the addition of the CA for either condition. As significant increases in CMJ jump height were identified, the four half-squat CA with a 5RM load was used in the next investigation. Although each individual’s optimum warm-up volume varied, the moderate warm-up volume produced sufficient CMJ performance for all individuals. Considering the time required identifying each individuals optimum warm-up, the moderate warm-up was deemed sufficient and was used for the following studies. The second study of this thesis investigated the acute response of two different CA strategies. Both CAs included four half squats at a 5RM load, however, in one condition participants were instructed to perform the squat in a controlled manner, whilst in the second condition, they were instructed to lift the bar as fast as possible without losing contact with the ground. At any post-time (including post-best), no significant improvement were identified for any CMJ variable in either condition. Furthermore, DJ performance significantly decreased at all post-tests for the explosive CA condition. Although no significant improvements were identified, when each individual’s optimum recovery period was considered, CMJ jump height increased by 2.6% in the explosive CA condition, as opposed to 0.9% in the controlled CA condition. Because of this difference within the means of each condition, for the future studies throughout this thesis, participants were instructed to lift the bar as fast as possible during a heavy half-squat CA. The third study of this thesis compared different volumes of plyometric CAs (rebound jumps) to a CA involving heavy half-squats and assessed the effect each had on potentiating CMJ and sprinting performance. Past research had often used small amounts of plyometric contacts to potentiate future contractions (23,30,143,146,151), however, due to their short duration; they were often not successful in improving performance. For one condition, this study increased the repetitions of plyometric contacts in the CA, so that its duration matched the time under tension exhibited by the four half-squats with a 5RM load. Furthermore, two other plyometric CA conditions were included; one that matched half of the time under tension of the half-squats and one that involved only four repetitions of the rebound jump (match the amount of repetitions of the half-squat). No CA (plyometric or half-squat) displayed statistical significant improvements in CMJ or sprint performance at any post-test interval. For CMJ performance, although it did not significantly improve performance, generally the heavy half-squat CA had smaller decrements in performance than the plyometric CAs, hence the final investigation of this thesis focussed upon different heavy dynamic CAs in order to potentiate CMJ performance. The final study of this thesis firstly aimed to investigate the effect of three different types of half-squat CAs had on potentiating CMJ performance. This study also aimed to explore why certain individuals respond positively to a CA, whilst others respond in a negative manner. At the beginning of this study, participants completed a number of fitness performance tests, to assess each individual’s performance. Participants then assessed the effect of three different CAs on CMJ performance. These CAs included three repetitions of the half-squat with a 3RM load (3 @ 3RM), four repetitions with a 5RM load (4 @ 5RM) and then five repetitions with a 5RM load (5 @ 5RM). In terms of the entire population of the study, after each of the CAs, post-CMJ performance typically decreased across all rest periods, whilst any improvement in particular CMJ variables were considered to only be trivial in terms of effect size magnitudes. Despite this, multiple statistically significant positive correlations were evident between particular fitness qualities (absolute strength, CMJ RPP and aerobic capacity) and the change scores between pre and post-best CMJ performance after certain CAs. Therefore, the participants were median split in terms of each of the following fitness qualities to assess the relationship each quality has on potentiating CMJ performance. When the population was split in terms of absolute strength, the stronger participants significantly improved CMJ performance at their best recovery period after the performance of the 5 @ 5RM CA (three out of the four CMJ variables assessed significantly improved), whilst the weaker individuals showed no significant improvements. A similar trend was exhibited when the population was split in terms of CMJ RPP, with the more powerful individuals improving by small to moderate effect size magnitudes after the 5 @ 5RM CA, whilst the less powerful group did not. From the studies presented in the thesis, it can be concluded that certain recreationally resistance trained males can acutely enhance CMJ performance with the use of a heavy dynamic CA, even after pre-test performance has been optimised by a general warm-up. The optimum recovery period for the individual does need to be considered, as individuals require different amounts of rest to allow for an improvement in performance. Furthermore, the individual needs to have sufficient strength of the lower limbs in order to improve future contractions via the use of the heavy dynamic CA, as individuals with less strength do not improve post-CMJ performance after a CA. In terms of the type of CA used, heavy half-squat seem to be more effective than rebound jumps in order to potentiate CMJ performance. Furthermore, five repetitions with a 5RM load seems more effective than heavier CAs (3 @ 3RM) or ones that have less repetitions (4 @ 5RM) for this particular population.
- Description: Doctor of Philosophy
- Authors: O'Grady, Mathew
- Date: 2017
- Type: Text , Thesis , PhD
- Full Text:
- Description: Post-activation potentiation (PAP) is the phenomenon where contractile history of a muscle may acutely increase voluntary performance of future contractions that are biomechanically similar (72). In order to exploit the PAP phenomenon, a conditioning activity (CA) is performed to enhance the performance of a subsequent skill. Throughout the literature, a common example of a CA is sets of heavy-loaded squats in order to potentiate subsequent jumping (31,33,39,57,83,116,151,163) or sprinting performance (15,28,39,99). Post-activation potentiation can be used either in a warm-up to acutely enhance performance for competition, or used within a resistance training session to enhance speed-strength, with the intention of producing a greater training stimulus for chronic adaptations. The major issue with the PAP literature is the inconsistent results from study to study. There are many examples within the research that show the positive effects of PAP (44,54,57,62,83,102,133,163), whilst many others have failed to find any increase in performance (42,47,56,81,112,123,141). The results have been inconsistent as the methodology between studies has varied dramatically. These differences include the warm-up used prior to testing sessions, changes in the type of CA (30,54,163), the intensity or load of the CA (19,21,33) and the rest period allocated between the CA and the performance of the skill. Furthermore, it seems that certain individuals respond better to a CA, with most of the literature suggesting that participant strength has a positive correlation with a potentiating response (15,31,44,116,128,129,163). Due to the vast differences in methodologies used throughout the potentiation literature, it is hard for coaches to identify the best practice in order to elicit a positive potentiating effect. Therefore, four studies were designed to address these current gaps within the potentiation literature in order to establish the best methodology to elicit a potentiating response. The first study sought to investigate whether a heavy half-squat CA could further improve jumping after an individualised optimal warm-up. As many of the warm-ups used prior to the baseline measurement in the potentiation research have been insufficient (30,44,69,71,88,102,111,115,140,143,158), it is plausible to suggest that improvements after a CA could be due to general mechanisms of a warm-up, rather than PAP. To investigate this, participants performed six different volumes of warm-ups on six separate days, followed by CMJ and DJ testing. After each participant completed the six warm-ups, their individual optimum warm-up was identified as the warm-up that produced the greatest CMJ relative peak power (RPP). On two separate sessions, a CA of four half-squats at a 5RM load was then added to each individual’s optimum warm-up and a sub-optimum warm-up. Countermovement jump tests were performed before the CA (pre) and then four and eight minutes after the CA. Drop jump testing was performed before the CA (pre) and then six and 10 minutes after the CA. When examining each post-test separately, no improvements in CMJ performance were identified. Furthermore, for both the optimum and sub-optimum warm-up conditions, DJ performance significantly decreased at all post-tests (p < 0.05). When each individuals best recovery period was considered (post-best), both the maximum and mean CMJ jump height significantly increased above baseline measures for the optimum warm-up condition. No other CMJ or DJ variable displayed any significant change after the addition of the CA for either condition. As significant increases in CMJ jump height were identified, the four half-squat CA with a 5RM load was used in the next investigation. Although each individual’s optimum warm-up volume varied, the moderate warm-up volume produced sufficient CMJ performance for all individuals. Considering the time required identifying each individuals optimum warm-up, the moderate warm-up was deemed sufficient and was used for the following studies. The second study of this thesis investigated the acute response of two different CA strategies. Both CAs included four half squats at a 5RM load, however, in one condition participants were instructed to perform the squat in a controlled manner, whilst in the second condition, they were instructed to lift the bar as fast as possible without losing contact with the ground. At any post-time (including post-best), no significant improvement were identified for any CMJ variable in either condition. Furthermore, DJ performance significantly decreased at all post-tests for the explosive CA condition. Although no significant improvements were identified, when each individual’s optimum recovery period was considered, CMJ jump height increased by 2.6% in the explosive CA condition, as opposed to 0.9% in the controlled CA condition. Because of this difference within the means of each condition, for the future studies throughout this thesis, participants were instructed to lift the bar as fast as possible during a heavy half-squat CA. The third study of this thesis compared different volumes of plyometric CAs (rebound jumps) to a CA involving heavy half-squats and assessed the effect each had on potentiating CMJ and sprinting performance. Past research had often used small amounts of plyometric contacts to potentiate future contractions (23,30,143,146,151), however, due to their short duration; they were often not successful in improving performance. For one condition, this study increased the repetitions of plyometric contacts in the CA, so that its duration matched the time under tension exhibited by the four half-squats with a 5RM load. Furthermore, two other plyometric CA conditions were included; one that matched half of the time under tension of the half-squats and one that involved only four repetitions of the rebound jump (match the amount of repetitions of the half-squat). No CA (plyometric or half-squat) displayed statistical significant improvements in CMJ or sprint performance at any post-test interval. For CMJ performance, although it did not significantly improve performance, generally the heavy half-squat CA had smaller decrements in performance than the plyometric CAs, hence the final investigation of this thesis focussed upon different heavy dynamic CAs in order to potentiate CMJ performance. The final study of this thesis firstly aimed to investigate the effect of three different types of half-squat CAs had on potentiating CMJ performance. This study also aimed to explore why certain individuals respond positively to a CA, whilst others respond in a negative manner. At the beginning of this study, participants completed a number of fitness performance tests, to assess each individual’s performance. Participants then assessed the effect of three different CAs on CMJ performance. These CAs included three repetitions of the half-squat with a 3RM load (3 @ 3RM), four repetitions with a 5RM load (4 @ 5RM) and then five repetitions with a 5RM load (5 @ 5RM). In terms of the entire population of the study, after each of the CAs, post-CMJ performance typically decreased across all rest periods, whilst any improvement in particular CMJ variables were considered to only be trivial in terms of effect size magnitudes. Despite this, multiple statistically significant positive correlations were evident between particular fitness qualities (absolute strength, CMJ RPP and aerobic capacity) and the change scores between pre and post-best CMJ performance after certain CAs. Therefore, the participants were median split in terms of each of the following fitness qualities to assess the relationship each quality has on potentiating CMJ performance. When the population was split in terms of absolute strength, the stronger participants significantly improved CMJ performance at their best recovery period after the performance of the 5 @ 5RM CA (three out of the four CMJ variables assessed significantly improved), whilst the weaker individuals showed no significant improvements. A similar trend was exhibited when the population was split in terms of CMJ RPP, with the more powerful individuals improving by small to moderate effect size magnitudes after the 5 @ 5RM CA, whilst the less powerful group did not. From the studies presented in the thesis, it can be concluded that certain recreationally resistance trained males can acutely enhance CMJ performance with the use of a heavy dynamic CA, even after pre-test performance has been optimised by a general warm-up. The optimum recovery period for the individual does need to be considered, as individuals require different amounts of rest to allow for an improvement in performance. Furthermore, the individual needs to have sufficient strength of the lower limbs in order to improve future contractions via the use of the heavy dynamic CA, as individuals with less strength do not improve post-CMJ performance after a CA. In terms of the type of CA used, heavy half-squat seem to be more effective than rebound jumps in order to potentiate CMJ performance. Furthermore, five repetitions with a 5RM load seems more effective than heavier CAs (3 @ 3RM) or ones that have less repetitions (4 @ 5RM) for this particular population.
- Description: Doctor of Philosophy
Misogynology and the impossibility of dwelling
- Authors: Hammond, Richard
- Date: 2017
- Type: Text , Thesis , PhD
- Full Text:
- Description: For Martin Heidegger, the essence of technology—Ge-stell—is a framing and ordering of the world that valorises instrumental-calculative thinking at the direct expense of other forms of thought. As being-in-the-world—a notion that the later Heidegger would re-interpret as belonging-to Being as the mortal of the fourfold—human being is given over to the logos of framing and ordering: technology. In the technological age, human being is ordered into an inauthentic relationship with itself, its environment, and with Being itself. Yet the gatheringsaying of the modern logos is more than a framing of the cosmos into standing reserve, it is also a peculiarly gendered framing of human being. In this thesis I claim that while Heidegger was oblivious to the inherently masculinist aspect of the Western tradition, his thought provides an effective theoretical basis to interrogate invisible systemic gender inequality. In order to demonstrate this I develop an account of Heidegger’s critique of technology by tracing the origins of the critique from Heidegger’s early thinking in Being and Time onwards. This genealogical approach demonstrates the centrality of Heidegger’s critique of technology to his broader project, and facilitates an exploration of the fourfold as a heuristic from which an originary sense of Being (as dwelling) can emerge. By employing Heidegger’s critique of technology to highlight the metaphysical assumptions that frame mainstream debates on pornography, I demonstrate that the pornification of popular culture—now largely synonymous with rape culture—can be interpreted as a significant aspect of the logos of Ge-stell. I argue that rather than remain the purview of masculine privilege, the seeming impossibility of dwelling in the modern age reveals the techno-misogynological framing of Ge-stell.
- Description: Doctor of Philosophy
- Authors: Hammond, Richard
- Date: 2017
- Type: Text , Thesis , PhD
- Full Text:
- Description: For Martin Heidegger, the essence of technology—Ge-stell—is a framing and ordering of the world that valorises instrumental-calculative thinking at the direct expense of other forms of thought. As being-in-the-world—a notion that the later Heidegger would re-interpret as belonging-to Being as the mortal of the fourfold—human being is given over to the logos of framing and ordering: technology. In the technological age, human being is ordered into an inauthentic relationship with itself, its environment, and with Being itself. Yet the gatheringsaying of the modern logos is more than a framing of the cosmos into standing reserve, it is also a peculiarly gendered framing of human being. In this thesis I claim that while Heidegger was oblivious to the inherently masculinist aspect of the Western tradition, his thought provides an effective theoretical basis to interrogate invisible systemic gender inequality. In order to demonstrate this I develop an account of Heidegger’s critique of technology by tracing the origins of the critique from Heidegger’s early thinking in Being and Time onwards. This genealogical approach demonstrates the centrality of Heidegger’s critique of technology to his broader project, and facilitates an exploration of the fourfold as a heuristic from which an originary sense of Being (as dwelling) can emerge. By employing Heidegger’s critique of technology to highlight the metaphysical assumptions that frame mainstream debates on pornography, I demonstrate that the pornification of popular culture—now largely synonymous with rape culture—can be interpreted as a significant aspect of the logos of Ge-stell. I argue that rather than remain the purview of masculine privilege, the seeming impossibility of dwelling in the modern age reveals the techno-misogynological framing of Ge-stell.
- Description: Doctor of Philosophy
Optimising the management of invasive aquatic plants targeted for extirpation from catchments and waterways : Utilising alligator weed (Alternanthera philoxeroides (Mart.) Griseb.) as a target species
- Authors: Clements, Daniel
- Date: 2017
- Type: Text , Thesis , PhD
- Full Text:
- Description: Aquatic plants are integral components of freshwater ecosystems and provide essential ecosystem services. However, when invasive species establish in new aquatic environments, there are few natural checks and balances to inhibit their growth and spread. Overabundant aquatic vegetation can harm aquatic systems if left unchecked and negatively impact on agricultural productivity, social amenity and biodiversity values. Prevention and early intervention are recognised as the most cost effective means to manage invasive species that pose a biosecurity risk. This thesis contributes to the development of effective management strategies for one of the world’s most invasive aquatic plant species, known as alligator weed (Alternanthera philoxeroides (Mart.) Griseb.). It focusses on developing management strategies in an early stage of invasion, in order to achieve extirpation of this species from catchments and waterways. Developing effective detection and surveillance strategies are required for invasive aquatic plants, as a key impediment to achieving extirpation is the ability to detect infestations, so that control strategies can be enacted. This thesis investigates the effectiveness of aerial surveillance for detection of alligator weed at different spatial scales, using high altitude aerial imagery (orthophotos) and unmanned aerial vehicle (UAV) technology. An examination of the growth rate of alligator weed in Victoria, Australia, over a five year period, demonstrates the effective use of orthophotos to detect and monitor large infestations of aquatic alligator weed. The efficacy of unmanned aerial vehicle technology, including the use of automated algorithms, to detect patches of alligator weed growing in waterways is evaluated against current detection techniques. Effective management of invasive aquatic plants targeted for extirpation requires the coupling of effective detection and control efforts to prevent reproduction. To date, development of control strategies for aquatic alligator weed has been limited to evaluating the efficacy of short-term control at a local scale without regard to the effects of management strategies on dispersal of propagules throughout catchments. This thesis determines that viable alligator weed stem fragments are produced following herbicide application, which comprises extirpation efforts. This thesis has gone further than current practice in that it has evaluated the efficacy of current and novel control techniques, in both laboratory and field trials and has developed methods to manage viable fragment production post-herbicide application, to limit dispersal throughout catchments. In this respect, the application of the herbicides glyphosate, metsulfuron-methyl and imazapyr, and their effectiveness when incorporating surfactant systems and plant growth regulators, have been evaluated in field and laboratory studies to optimise control techniques for aquatic alligator weed. Results have shown that our approaches, when used in an early stage of invasion, are capable of eliminating patches of alligator weed in two to three years. Integral to the research is an experiment to determine the effect of herbicide treatments on the production of alligator weed stem fragments and their subsequent viability. Further investigation to determine the usefulness of commercially available plant growth regulators (PGRs) to reduce the number of viable propagules produced by alligator weed post-herbicide application was found to be ineffective. This thesis also evaluates the impact of herbicides and surfactant systems, on all key alligator weed response metrics in aquatic environments including; above ground biomass, below ground biomass and viable stem fragmentation. No previous studies have looked simultaneously at these three important measures for determining the efficacy of a particular control regime, and we have determined that this is essential for effective management of aquatic alligator weed in an early stage of invasion. The thesis has underscored the notion that development of more effective management strategies, based upon experimental trials, will result in an increased likelihood of eradicating invasive aquatic plants that pose a biosecurity risk, and thus move toward the mitigation of the threat that high-risk species pose to aquatic ecosystems. PLEASE NOTE: Portions of the full text have been removed due to copyright restrictions.
- Description: Doctor of Philosophy
- Authors: Clements, Daniel
- Date: 2017
- Type: Text , Thesis , PhD
- Full Text:
- Description: Aquatic plants are integral components of freshwater ecosystems and provide essential ecosystem services. However, when invasive species establish in new aquatic environments, there are few natural checks and balances to inhibit their growth and spread. Overabundant aquatic vegetation can harm aquatic systems if left unchecked and negatively impact on agricultural productivity, social amenity and biodiversity values. Prevention and early intervention are recognised as the most cost effective means to manage invasive species that pose a biosecurity risk. This thesis contributes to the development of effective management strategies for one of the world’s most invasive aquatic plant species, known as alligator weed (Alternanthera philoxeroides (Mart.) Griseb.). It focusses on developing management strategies in an early stage of invasion, in order to achieve extirpation of this species from catchments and waterways. Developing effective detection and surveillance strategies are required for invasive aquatic plants, as a key impediment to achieving extirpation is the ability to detect infestations, so that control strategies can be enacted. This thesis investigates the effectiveness of aerial surveillance for detection of alligator weed at different spatial scales, using high altitude aerial imagery (orthophotos) and unmanned aerial vehicle (UAV) technology. An examination of the growth rate of alligator weed in Victoria, Australia, over a five year period, demonstrates the effective use of orthophotos to detect and monitor large infestations of aquatic alligator weed. The efficacy of unmanned aerial vehicle technology, including the use of automated algorithms, to detect patches of alligator weed growing in waterways is evaluated against current detection techniques. Effective management of invasive aquatic plants targeted for extirpation requires the coupling of effective detection and control efforts to prevent reproduction. To date, development of control strategies for aquatic alligator weed has been limited to evaluating the efficacy of short-term control at a local scale without regard to the effects of management strategies on dispersal of propagules throughout catchments. This thesis determines that viable alligator weed stem fragments are produced following herbicide application, which comprises extirpation efforts. This thesis has gone further than current practice in that it has evaluated the efficacy of current and novel control techniques, in both laboratory and field trials and has developed methods to manage viable fragment production post-herbicide application, to limit dispersal throughout catchments. In this respect, the application of the herbicides glyphosate, metsulfuron-methyl and imazapyr, and their effectiveness when incorporating surfactant systems and plant growth regulators, have been evaluated in field and laboratory studies to optimise control techniques for aquatic alligator weed. Results have shown that our approaches, when used in an early stage of invasion, are capable of eliminating patches of alligator weed in two to three years. Integral to the research is an experiment to determine the effect of herbicide treatments on the production of alligator weed stem fragments and their subsequent viability. Further investigation to determine the usefulness of commercially available plant growth regulators (PGRs) to reduce the number of viable propagules produced by alligator weed post-herbicide application was found to be ineffective. This thesis also evaluates the impact of herbicides and surfactant systems, on all key alligator weed response metrics in aquatic environments including; above ground biomass, below ground biomass and viable stem fragmentation. No previous studies have looked simultaneously at these three important measures for determining the efficacy of a particular control regime, and we have determined that this is essential for effective management of aquatic alligator weed in an early stage of invasion. The thesis has underscored the notion that development of more effective management strategies, based upon experimental trials, will result in an increased likelihood of eradicating invasive aquatic plants that pose a biosecurity risk, and thus move toward the mitigation of the threat that high-risk species pose to aquatic ecosystems. PLEASE NOTE: Portions of the full text have been removed due to copyright restrictions.
- Description: Doctor of Philosophy
Perceived organisational support and expatriation in Ghana
- Authors: Sokro, Evans
- Date: 2017
- Type: Text , Thesis , PhD
- Full Text:
- Description: This thesis explores the relationship between perceived organisational support and expatriation outcomes in host subsidiaries of multinational companies. While multinationals depend on expatriates to manage their foreign subsidiaries, successful expatriation is influenced by expatriates’ cross-cultural adjustment to the host country’s environments. Although Ghana has witnessed a substantial growth in the number of foreign subsidiaries operating in various sectors of the country’s economy, support structures have not been well researched in terms of how host organisations manage expatriation, considered from an African perspective. Adopting a positivist research approach, this study surveyed 229 expatriates working in foreign subsidiaries of multinational companies based in Ghana. Structural equation modelling was employed to test the model and hypothesised relationships. The test of the hypothesised model reveals that support from the organisation and host employees has significant positive effects on expatriation. Specifically, the study shows that perceived organisational support positively relates to expatriate assignment completion and career development. Host-country nationals’ support has a significant effect on expatriate adjustment to the work environment but no effect on Ghanaian cultural adjustment. The empirical results indicate that headquarters-subsidiary coordination has significant positive effects on expatriate adjustment to the host country’s environment and on how the subsidiary is shaped through knowledge transfer. In contrast, Ghanaian cultural adjustment was found to have a negative impact on assignment completion and shaping of the subsidiary. Furthermore, while assignment completion is positively related to career and professional skills development, shaping the subsidiary has a direct effect on overall success. Career development and overall success are significantly associated with expatriate satisfaction. This thesis concludes by discussing the implications of the findings of the study for both theory and practice. The limitations of the study are acknowledged and explained. Several recommendations for future research are detailed to ensure successful expatriation in sub-Saharan Africa in general.
- Description: Doctor of Philosophy
- Authors: Sokro, Evans
- Date: 2017
- Type: Text , Thesis , PhD
- Full Text:
- Description: This thesis explores the relationship between perceived organisational support and expatriation outcomes in host subsidiaries of multinational companies. While multinationals depend on expatriates to manage their foreign subsidiaries, successful expatriation is influenced by expatriates’ cross-cultural adjustment to the host country’s environments. Although Ghana has witnessed a substantial growth in the number of foreign subsidiaries operating in various sectors of the country’s economy, support structures have not been well researched in terms of how host organisations manage expatriation, considered from an African perspective. Adopting a positivist research approach, this study surveyed 229 expatriates working in foreign subsidiaries of multinational companies based in Ghana. Structural equation modelling was employed to test the model and hypothesised relationships. The test of the hypothesised model reveals that support from the organisation and host employees has significant positive effects on expatriation. Specifically, the study shows that perceived organisational support positively relates to expatriate assignment completion and career development. Host-country nationals’ support has a significant effect on expatriate adjustment to the work environment but no effect on Ghanaian cultural adjustment. The empirical results indicate that headquarters-subsidiary coordination has significant positive effects on expatriate adjustment to the host country’s environment and on how the subsidiary is shaped through knowledge transfer. In contrast, Ghanaian cultural adjustment was found to have a negative impact on assignment completion and shaping of the subsidiary. Furthermore, while assignment completion is positively related to career and professional skills development, shaping the subsidiary has a direct effect on overall success. Career development and overall success are significantly associated with expatriate satisfaction. This thesis concludes by discussing the implications of the findings of the study for both theory and practice. The limitations of the study are acknowledged and explained. Several recommendations for future research are detailed to ensure successful expatriation in sub-Saharan Africa in general.
- Description: Doctor of Philosophy
Pixel N-grams for Mammographic Image Classification
- Authors: Kulkarni, Pradnya
- Date: 2017
- Type: Text , Thesis , PhD
- Full Text:
- Description: X-ray screening for breast cancer is an important public health initiative in the management of a leading cause of death for women. However, screening is expensive if mammograms are required to be manually assessed by radiologists. Moreover, manual screening is subject to perception and interpretation errors. Computer aided detection/diagnosis (CAD) systems can help radiologists as computer algorithms are good at performing image analysis consistently and repetitively. However, image features that enhance CAD classification accuracies are necessary for CAD systems to be deployed. Many CAD systems have been developed but the specificity and sensitivity is not high; in part because of challenges inherent in identifying effective features to be initially extracted from raw images. Existing feature extraction techniques can be grouped under three main approaches; statistical, spectral and structural. Statistical and spectral techniques provide global image features but often fail to distinguish between local pattern variations within an image. On the other hand, structural approach have given rise to the Bag-of-Visual-Words (BoVW) model, which captures local variations in an image, but typically do not consider spatial relationships between the visual “words”. Moreover, statistical features and features based on BoVW models are computationally very expensive. Similarly, structural feature computation methods other than BoVW are also computationally expensive and strongly dependent upon algorithms that can segment an image to localize a region of interest likely to contain the tumour. Thus, classification algorithms using structural features require high resource computers. In order for a radiologist to classify the lesions on low resource computers such as Ipads, Tablets, and Mobile phones, in a remote location, it is necessary to develop computationally inexpensive classification algorithms. Therefore, the overarching aim of this research is to discover a feature extraction/image representation model which can be used to classify mammographic lesions with high accuracy, sensitivity and specificity along with low computational cost. For this purpose a novel feature extraction technique called ‘Pixel N-grams’ is proposed. The Pixel N-grams approach is inspired from the character N-gram concept in text categorization. Here, N number of consecutive pixel intensities are considered in a particular direction. The image is then represented with the help of histogram of occurrences of the Pixel N-grams in an image. Shape and texture of mammographic lesions play an important role in determining the malignancy of the lesion. It was hypothesized that the Pixel N-grams would be able to distinguish between various textures and shapes. Experiments carried out on benchmark texture databases and binary basic shapes database have demonstrated that the hypothesis was correct. Moreover, the Pixel N-grams were able to distinguish between various shapes irrespective of size and location of shape in an image. The efficacy of the Pixel N-gram technique was tested on mammographic database of primary digital mammograms sourced from a radiological facility in Australia (LakeImaging Pty Ltd) and secondary digital mammograms (benchmark miniMIAS database). A senior radiologist from LakeImaging provided real time de-identified high resolution mammogram images with annotated regions of interests (which were used as groundtruth), and valuable radiological diagnostic knowledge. Two types of classifications were observed on these two datasets. Normal/abnormal classification useful for automated screening and circumscribed/speculation/normal classification useful for automated diagnosis of breast cancer. The classification results on both the mammography datasets using Pixel N-grams were promising. Classification performance (Fscore, sensitivity and specificity) using Pixel N-gram technique was observed to be significantly better than the existing techniques such as intensity histogram, co-occurrence matrix based features and comparable with the BoVW features. Further, Pixel N-gram features are found to be computationally less complex than the co-occurrence matrix based features as well as BoVW features paving the way for mammogram classification on low resource computers. Although, the Pixel N-gram technique was designed for mammographic classification, it could be applied to other image classification applications such as diabetic retinopathy, histopathological image classification, lung tumour detection using CT images, brain tumour detection using MRI images, wound image classification and tooth decay classification using dentistry x-ray images. Further, texture and shape classification is also useful for classification of real world images outside the medical domain. Therefore, the pixel N-gram technique could be extended for applications such as classification of satellite imagery and other object detection tasks.
- Description: Doctor of Philosophy
- Authors: Kulkarni, Pradnya
- Date: 2017
- Type: Text , Thesis , PhD
- Full Text:
- Description: X-ray screening for breast cancer is an important public health initiative in the management of a leading cause of death for women. However, screening is expensive if mammograms are required to be manually assessed by radiologists. Moreover, manual screening is subject to perception and interpretation errors. Computer aided detection/diagnosis (CAD) systems can help radiologists as computer algorithms are good at performing image analysis consistently and repetitively. However, image features that enhance CAD classification accuracies are necessary for CAD systems to be deployed. Many CAD systems have been developed but the specificity and sensitivity is not high; in part because of challenges inherent in identifying effective features to be initially extracted from raw images. Existing feature extraction techniques can be grouped under three main approaches; statistical, spectral and structural. Statistical and spectral techniques provide global image features but often fail to distinguish between local pattern variations within an image. On the other hand, structural approach have given rise to the Bag-of-Visual-Words (BoVW) model, which captures local variations in an image, but typically do not consider spatial relationships between the visual “words”. Moreover, statistical features and features based on BoVW models are computationally very expensive. Similarly, structural feature computation methods other than BoVW are also computationally expensive and strongly dependent upon algorithms that can segment an image to localize a region of interest likely to contain the tumour. Thus, classification algorithms using structural features require high resource computers. In order for a radiologist to classify the lesions on low resource computers such as Ipads, Tablets, and Mobile phones, in a remote location, it is necessary to develop computationally inexpensive classification algorithms. Therefore, the overarching aim of this research is to discover a feature extraction/image representation model which can be used to classify mammographic lesions with high accuracy, sensitivity and specificity along with low computational cost. For this purpose a novel feature extraction technique called ‘Pixel N-grams’ is proposed. The Pixel N-grams approach is inspired from the character N-gram concept in text categorization. Here, N number of consecutive pixel intensities are considered in a particular direction. The image is then represented with the help of histogram of occurrences of the Pixel N-grams in an image. Shape and texture of mammographic lesions play an important role in determining the malignancy of the lesion. It was hypothesized that the Pixel N-grams would be able to distinguish between various textures and shapes. Experiments carried out on benchmark texture databases and binary basic shapes database have demonstrated that the hypothesis was correct. Moreover, the Pixel N-grams were able to distinguish between various shapes irrespective of size and location of shape in an image. The efficacy of the Pixel N-gram technique was tested on mammographic database of primary digital mammograms sourced from a radiological facility in Australia (LakeImaging Pty Ltd) and secondary digital mammograms (benchmark miniMIAS database). A senior radiologist from LakeImaging provided real time de-identified high resolution mammogram images with annotated regions of interests (which were used as groundtruth), and valuable radiological diagnostic knowledge. Two types of classifications were observed on these two datasets. Normal/abnormal classification useful for automated screening and circumscribed/speculation/normal classification useful for automated diagnosis of breast cancer. The classification results on both the mammography datasets using Pixel N-grams were promising. Classification performance (Fscore, sensitivity and specificity) using Pixel N-gram technique was observed to be significantly better than the existing techniques such as intensity histogram, co-occurrence matrix based features and comparable with the BoVW features. Further, Pixel N-gram features are found to be computationally less complex than the co-occurrence matrix based features as well as BoVW features paving the way for mammogram classification on low resource computers. Although, the Pixel N-gram technique was designed for mammographic classification, it could be applied to other image classification applications such as diabetic retinopathy, histopathological image classification, lung tumour detection using CT images, brain tumour detection using MRI images, wound image classification and tooth decay classification using dentistry x-ray images. Further, texture and shape classification is also useful for classification of real world images outside the medical domain. Therefore, the pixel N-gram technique could be extended for applications such as classification of satellite imagery and other object detection tasks.
- Description: Doctor of Philosophy
Rainfall prediction in Australia : Clusterwise linear regression approach
- Authors: Mahmood, Arshad
- Date: 2017
- Type: Text , Thesis , PhD
- Full Text:
- Description: Accurate rainfall prediction is a challenging task because of the complex physical processes involved. This complexity is compounded in Australia as the climate can be highly variable. Accurate rainfall prediction is immensely benecial for making informed policy, planning and management decisions, and can assist with the most sustainable operation of water resource systems. Short-term prediction of rainfall is provided by meteorological services; however, the intermediate to long-term prediction of rainfall remains challenging and contains much uncertainty. Many prediction approaches have been proposed in the literature, including statistical and computational intelligence approaches. However, finding a method to model the complex physical process of rainfall, especially in Australia where the climate is highly variable, is still a major challenge. The aims of this study are to: (a) develop an optimization based clusterwise linear regression method, (b) develop new prediction methods based on clusterwise linear regression, (c) assess the influence of geographic regions on the performance of prediction models in predicting monthly and weekly rainfall in Australia, (d) determine the combined influence of meteorological variables on rainfall prediction in Australia, and (e) carry out a comparative analysis of new and existing prediction techniques using Australian rainfall data. In this study, rainfall data with five input meteorological variables from 24 geographically diverse weather stations in Australia, over the period January 1970 to December 2014, have been taken from the Scientific Information for Land Owners (SILO). We also consider the climate zones when selecting weather stations, because Australia experiences a variety of climates due to its size. The data was divided into training and testing periods for evaluation purposes. In this study, optimization based clusterwise linear regression is modified and new prediction methods are developed for rainfall prediction. The proposed method is applied to predict monthly and weekly rainfall. The prediction performance of the clusterwise linear regression method was evaluated by comparing observed and predicted rainfall values using the performance measures: root mean squared error, the mean absolute error, the mean absolute scaled error and the Nash-Sutclie coefficient of efficiency. The proposed method is also compared with the clusterwise linear regression based on the maximum likelihood estimation, linear support vector machines for regression, support vector machines for regression with radial basis kernel function, multiple linear regression, artificial neural networks with and without hidden layer and k-nearest neighbours methods using computational results. Initially, to determine the appropriate input variables to be used in the investigation, we assessed all combinations of meteorological variables. The results confirm that single meteorological variables alone are unable to predict rainfall accurately. The prediction performance of all selected models was improved by adding the input variables in most locations. To assess the influence of geographic regions on the performance of prediction models and to compare the prediction performance of models, we trained models with the best combination of input variables and predicted monthly and weekly rainfall over the test periods. The results of this analysis confirm that the prediction performance of all selected models varied considerably with geographic regions for both weekly and monthly rainfall predictions. It is found that models have the lowest prediction error in the desert climate zone and highest in subtropical and tropical zones. The results also demonstrate that the proposed algorithm is capable of finding the patterns and trends of the observations for monthly and weekly rainfall predictions in all geographic regions. In desert, tropical and subtropical climate zones, the proposed method outperform other methods in most locations for both monthly and weekly rainfall predictions. In temperate and grassland zones the prediction performance of the proposed model is better in some locations while in the remaining locations it is slightly lower than the other models.
- Description: Doctor of Philosophy
- Description: Accurate rainfall prediction is a challenging task because of the complex physical processes involved. This complexity is compounded in Australia as the climate can be highly variable. Accurate rainfall prediction is immensely benecial for making informed policy, planning and management decisions, and can assist with the most sustainable operation of water resource systems. Short-term prediction of rainfall is provided by meteorological services; however, the intermediate to long-term prediction of rainfall remains challenging and contains much uncertainty. Many prediction approaches have been proposed in the literature, including statistical and computational intelligence approaches. However, finding a method to model the complex physical process of rainfall, especially in Australia where the climate is highly variable, is still a major challenge. The aims of this study are to: (a) develop an optimization based clusterwise linear regression method, (b) develop new prediction methods based on clusterwise linear regression, (c) assess the influence of geographic regions on the performance of prediction models in predicting monthly and weekly rainfall in Australia, (d) determine the combined influence of meteorological variables on rainfall prediction in Australia, and (e) carry out a comparative analysis of new and existing prediction techniques using Australian rainfall data. In this study, rainfall data with five input meteorological variables from 24 geographically diverse weather stations in Australia, over the period January 1970 to December 2014, have been taken from the Scientific Information for Land Owners (SILO). We also consider the climate zones when selecting weather stations, because Australia experiences a variety of climates due to its size. The data was divided into training and testing periods for evaluation purposes. In this study, optimization based clusterwise linear regression is modified and new prediction methods are developed for rainfall prediction. The proposed method is applied to predict monthly and weekly rainfall. The prediction performance of the clusterwise linear regression method was evaluated by comparing observed and predicted rainfall values using the performance measures: root mean squared error, the mean absolute error, the mean absolute scaled error and the Nash-Sutclie coefficient of efficiency. The proposed method is also compared with the clusterwise linear regression based on the maximum likelihood estimation, linear support vector machines for regression, support vector machines for regression with radial basis kernel function, multiple linear regression, artificial neural networks with and without hidden layer and k-nearest neighbors methods using computational results. Initially, to determine the appropriate input variables to be used in the investigation, we assessed all combinations of meteorological variables. The results confirm that single meteorological variables alone are unable to predict rainfall accurately. The prediction performance of all selected models was improved by adding the input variables in most locations. To assess the influence of geographic regions on the performance of prediction models and to compare the prediction performance of models, we trained models with the best combination of input variables and predicted monthly and weekly rainfall over the test periods. The results of this analysis confirm that the prediction performance of all selected models varied considerably with geographic regions for both weekly and monthly rainfall predictions. It is found that models have the lowest prediction error in the desert climate zone and highest in subtropical and tropical zones. The results also demonstrate that the proposed algorithm is capable of finding the patterns and trends of the observations for monthly and weekly rainfall predictions in all geographic regions. In desert, tropical and subtropical climate zones, the proposed method outperform other methods in most locations for both monthly and weekly rainfall predictions. In temperate and grassland zones the prediction performance of the proposed model is better in some locations while in the remaining locations it is slightly lower than the other models.
- Authors: Mahmood, Arshad
- Date: 2017
- Type: Text , Thesis , PhD
- Full Text:
- Description: Accurate rainfall prediction is a challenging task because of the complex physical processes involved. This complexity is compounded in Australia as the climate can be highly variable. Accurate rainfall prediction is immensely benecial for making informed policy, planning and management decisions, and can assist with the most sustainable operation of water resource systems. Short-term prediction of rainfall is provided by meteorological services; however, the intermediate to long-term prediction of rainfall remains challenging and contains much uncertainty. Many prediction approaches have been proposed in the literature, including statistical and computational intelligence approaches. However, finding a method to model the complex physical process of rainfall, especially in Australia where the climate is highly variable, is still a major challenge. The aims of this study are to: (a) develop an optimization based clusterwise linear regression method, (b) develop new prediction methods based on clusterwise linear regression, (c) assess the influence of geographic regions on the performance of prediction models in predicting monthly and weekly rainfall in Australia, (d) determine the combined influence of meteorological variables on rainfall prediction in Australia, and (e) carry out a comparative analysis of new and existing prediction techniques using Australian rainfall data. In this study, rainfall data with five input meteorological variables from 24 geographically diverse weather stations in Australia, over the period January 1970 to December 2014, have been taken from the Scientific Information for Land Owners (SILO). We also consider the climate zones when selecting weather stations, because Australia experiences a variety of climates due to its size. The data was divided into training and testing periods for evaluation purposes. In this study, optimization based clusterwise linear regression is modified and new prediction methods are developed for rainfall prediction. The proposed method is applied to predict monthly and weekly rainfall. The prediction performance of the clusterwise linear regression method was evaluated by comparing observed and predicted rainfall values using the performance measures: root mean squared error, the mean absolute error, the mean absolute scaled error and the Nash-Sutclie coefficient of efficiency. The proposed method is also compared with the clusterwise linear regression based on the maximum likelihood estimation, linear support vector machines for regression, support vector machines for regression with radial basis kernel function, multiple linear regression, artificial neural networks with and without hidden layer and k-nearest neighbours methods using computational results. Initially, to determine the appropriate input variables to be used in the investigation, we assessed all combinations of meteorological variables. The results confirm that single meteorological variables alone are unable to predict rainfall accurately. The prediction performance of all selected models was improved by adding the input variables in most locations. To assess the influence of geographic regions on the performance of prediction models and to compare the prediction performance of models, we trained models with the best combination of input variables and predicted monthly and weekly rainfall over the test periods. The results of this analysis confirm that the prediction performance of all selected models varied considerably with geographic regions for both weekly and monthly rainfall predictions. It is found that models have the lowest prediction error in the desert climate zone and highest in subtropical and tropical zones. The results also demonstrate that the proposed algorithm is capable of finding the patterns and trends of the observations for monthly and weekly rainfall predictions in all geographic regions. In desert, tropical and subtropical climate zones, the proposed method outperform other methods in most locations for both monthly and weekly rainfall predictions. In temperate and grassland zones the prediction performance of the proposed model is better in some locations while in the remaining locations it is slightly lower than the other models.
- Description: Doctor of Philosophy
- Description: Accurate rainfall prediction is a challenging task because of the complex physical processes involved. This complexity is compounded in Australia as the climate can be highly variable. Accurate rainfall prediction is immensely benecial for making informed policy, planning and management decisions, and can assist with the most sustainable operation of water resource systems. Short-term prediction of rainfall is provided by meteorological services; however, the intermediate to long-term prediction of rainfall remains challenging and contains much uncertainty. Many prediction approaches have been proposed in the literature, including statistical and computational intelligence approaches. However, finding a method to model the complex physical process of rainfall, especially in Australia where the climate is highly variable, is still a major challenge. The aims of this study are to: (a) develop an optimization based clusterwise linear regression method, (b) develop new prediction methods based on clusterwise linear regression, (c) assess the influence of geographic regions on the performance of prediction models in predicting monthly and weekly rainfall in Australia, (d) determine the combined influence of meteorological variables on rainfall prediction in Australia, and (e) carry out a comparative analysis of new and existing prediction techniques using Australian rainfall data. In this study, rainfall data with five input meteorological variables from 24 geographically diverse weather stations in Australia, over the period January 1970 to December 2014, have been taken from the Scientific Information for Land Owners (SILO). We also consider the climate zones when selecting weather stations, because Australia experiences a variety of climates due to its size. The data was divided into training and testing periods for evaluation purposes. In this study, optimization based clusterwise linear regression is modified and new prediction methods are developed for rainfall prediction. The proposed method is applied to predict monthly and weekly rainfall. The prediction performance of the clusterwise linear regression method was evaluated by comparing observed and predicted rainfall values using the performance measures: root mean squared error, the mean absolute error, the mean absolute scaled error and the Nash-Sutclie coefficient of efficiency. The proposed method is also compared with the clusterwise linear regression based on the maximum likelihood estimation, linear support vector machines for regression, support vector machines for regression with radial basis kernel function, multiple linear regression, artificial neural networks with and without hidden layer and k-nearest neighbors methods using computational results. Initially, to determine the appropriate input variables to be used in the investigation, we assessed all combinations of meteorological variables. The results confirm that single meteorological variables alone are unable to predict rainfall accurately. The prediction performance of all selected models was improved by adding the input variables in most locations. To assess the influence of geographic regions on the performance of prediction models and to compare the prediction performance of models, we trained models with the best combination of input variables and predicted monthly and weekly rainfall over the test periods. The results of this analysis confirm that the prediction performance of all selected models varied considerably with geographic regions for both weekly and monthly rainfall predictions. It is found that models have the lowest prediction error in the desert climate zone and highest in subtropical and tropical zones. The results also demonstrate that the proposed algorithm is capable of finding the patterns and trends of the observations for monthly and weekly rainfall predictions in all geographic regions. In desert, tropical and subtropical climate zones, the proposed method outperform other methods in most locations for both monthly and weekly rainfall predictions. In temperate and grassland zones the prediction performance of the proposed model is better in some locations while in the remaining locations it is slightly lower than the other models.
Reducing climate change related fugitive greenhouse gas emissions from operational longwall coal mines
- Authors: Holmes, Robert
- Date: 2017
- Type: Text , Thesis , PhD
- Full Text:
- Description: The aim of this research is to quantify and validate a method which can significantly reduce fugitive greenhouse gas emissions from collieries in Australia, both cost-effectively and safely. Methane (CH₄) is controlled in collieries currently only for safety, statutory compliance or for capture and use reasons. But today, there is pressure on collieries to reduce not only mining costs but their greenhouse gas emissions. It is known that 65% of greenhouse gas (GHG) emissions associated with collieries come from fugitive ventilation air methane (VAM). The oxidising machinery to mitigate these fugitive emissions is expensive, has safety concerns and is not widely used at present for these reasons. But widespread concern over GHG emissions means that it is desirable to lower VAM emissions now. One safe, low-cost and non-gas drainage solution explored herein to reduce emissions, is a method to prevent some CH₄ from entering the mine airstream and becoming VAM in the first place. This emissions reduction method underwent a 12-month trial in a colliery in the Hunter Valley using six different quantified and costed non-gas drainage measures. All relevant data was retained, and with the mine’s permission has been processed and published here as a part of this research. A reduction in fugitive emissions of 95,398 t/CO₂-e below that projected for the subsequent 12 months was quantified, at a mitigation cost of A$1.08 t/CO₂-e. The level of mitigation achieved, represents approximately 20% of the mine’s VAM emissions. This research has also further tested the method used in the Hunter Valley trial, by visiting two other large collieries in Queensland, and assessing the two most successful mitigation measures from the Hunter Valley trial (roadway sealing and pressure balancing of sealed panels) against operational conditions at these collieries by ventilation modelling, using their measured gas, airflow and seal pressure data.
- Description: Doctor of Philosophy
- Authors: Holmes, Robert
- Date: 2017
- Type: Text , Thesis , PhD
- Full Text:
- Description: The aim of this research is to quantify and validate a method which can significantly reduce fugitive greenhouse gas emissions from collieries in Australia, both cost-effectively and safely. Methane (CH₄) is controlled in collieries currently only for safety, statutory compliance or for capture and use reasons. But today, there is pressure on collieries to reduce not only mining costs but their greenhouse gas emissions. It is known that 65% of greenhouse gas (GHG) emissions associated with collieries come from fugitive ventilation air methane (VAM). The oxidising machinery to mitigate these fugitive emissions is expensive, has safety concerns and is not widely used at present for these reasons. But widespread concern over GHG emissions means that it is desirable to lower VAM emissions now. One safe, low-cost and non-gas drainage solution explored herein to reduce emissions, is a method to prevent some CH₄ from entering the mine airstream and becoming VAM in the first place. This emissions reduction method underwent a 12-month trial in a colliery in the Hunter Valley using six different quantified and costed non-gas drainage measures. All relevant data was retained, and with the mine’s permission has been processed and published here as a part of this research. A reduction in fugitive emissions of 95,398 t/CO₂-e below that projected for the subsequent 12 months was quantified, at a mitigation cost of A$1.08 t/CO₂-e. The level of mitigation achieved, represents approximately 20% of the mine’s VAM emissions. This research has also further tested the method used in the Hunter Valley trial, by visiting two other large collieries in Queensland, and assessing the two most successful mitigation measures from the Hunter Valley trial (roadway sealing and pressure balancing of sealed panels) against operational conditions at these collieries by ventilation modelling, using their measured gas, airflow and seal pressure data.
- Description: Doctor of Philosophy
Reflective leadership : A self-study of practice
- Authors: Ludvigsen, Donna
- Date: 2017
- Type: Text , Thesis , PhD
- Full Text:
- Description: Encouraging reflective leadership practice is a recognised focus for coaches and consultants in primary schools. Despite the wealth of knowledge on coaching and consulting in organisational learning, there is less known about the transition between these two interactions and the purpose behind this. This self-study of my practice as a regional school improvement officer in Victoria, Australia, details my interaction with six teacher-leaders, who considered school improvement strategies by constructing a pattern-block representation of the structures within their schools. The research questions posed were: “What do teacher-leaders reflect upon when considering school improvement approaches?” and “How does the external facilitator encourage teacherleaders to reflect upon their practice?” Research undertaken for this study was used to develop a range of statements related to Donald Schön’s theory of reflective practice, particularly reflection-in-action. The statements were presented as a stimulus for action in practice and encompassed a range of tensions. Tensions included; orchestrating change by moving between the current situation and a preferred future; making connections by acknowledging the complexity of the situation whilst attempting to create order; developing a strategy from the consideration of a shared vision and a written plan; and undertaking leadership by moving between hierarchical, distributive and self-organising structures. Tacit and explicit knowledge was evident when reflecting-inaction. Finally I explored how, as the external facilitator, I encouraged reflection by moving between coaching and consulting interactions. I began this research by examining the practice of others. However, the greatest learning I achieved related to how I reflected-in-action and my understanding of self-study in practice. Initially in this study, I placed myself at the centre of the research and considered this a selfin- study; however, as the study progressed, I examined both my practice and the research simultaneously, terming this self-and-study, and, finally, from my analysis of the research when the study concluded, I developed a series of statements that could be used as a stimulus for future action, which I refer to as self-from-study. The larger implication for this research therefore relates to my understanding of my own reflection-in-action and how by embracing a number of tensions one can consider a range of possibilities for improvement.
- Description: Doctor of Philosophy
- Authors: Ludvigsen, Donna
- Date: 2017
- Type: Text , Thesis , PhD
- Full Text:
- Description: Encouraging reflective leadership practice is a recognised focus for coaches and consultants in primary schools. Despite the wealth of knowledge on coaching and consulting in organisational learning, there is less known about the transition between these two interactions and the purpose behind this. This self-study of my practice as a regional school improvement officer in Victoria, Australia, details my interaction with six teacher-leaders, who considered school improvement strategies by constructing a pattern-block representation of the structures within their schools. The research questions posed were: “What do teacher-leaders reflect upon when considering school improvement approaches?” and “How does the external facilitator encourage teacherleaders to reflect upon their practice?” Research undertaken for this study was used to develop a range of statements related to Donald Schön’s theory of reflective practice, particularly reflection-in-action. The statements were presented as a stimulus for action in practice and encompassed a range of tensions. Tensions included; orchestrating change by moving between the current situation and a preferred future; making connections by acknowledging the complexity of the situation whilst attempting to create order; developing a strategy from the consideration of a shared vision and a written plan; and undertaking leadership by moving between hierarchical, distributive and self-organising structures. Tacit and explicit knowledge was evident when reflecting-inaction. Finally I explored how, as the external facilitator, I encouraged reflection by moving between coaching and consulting interactions. I began this research by examining the practice of others. However, the greatest learning I achieved related to how I reflected-in-action and my understanding of self-study in practice. Initially in this study, I placed myself at the centre of the research and considered this a selfin- study; however, as the study progressed, I examined both my practice and the research simultaneously, terming this self-and-study, and, finally, from my analysis of the research when the study concluded, I developed a series of statements that could be used as a stimulus for future action, which I refer to as self-from-study. The larger implication for this research therefore relates to my understanding of my own reflection-in-action and how by embracing a number of tensions one can consider a range of possibilities for improvement.
- Description: Doctor of Philosophy
The development of the Malaysian vocational education and training system
- Ramanathan Chettiar, Palaniappan
- Authors: Ramanathan Chettiar, Palaniappan
- Date: 2017
- Type: Text , Thesis , PhD
- Full Text:
- Description: The vocational education and training (VET) sector in Malaysia has experienced significant change over the last 10 years. This thesis aimed to identify the challenges facing VET development in Malaysia and consider the lessons that can be learnt from Australian and Singaporean VET experiences. This research explored the challenges using a mixed methods approach (qualitative and quantitative) to answer the research question from a multiple stakeholder perspective. The 42 respondents included policymakers, chief executive officers (CEOs) from industry, CEOs from registered training organisations (RTOs), VET instructors and trainees. There were 34 respondents from Malaysia involved in the interviews. Two policymakers and two CEOs of RTOs from Singapore and Australia were also involved in the interviews. An online survey was answered by 209 Malaysian respondents. Significantly, the literature review, including literature from Malaysia, Australia, Singapore, the United Kingdom, Europe and the United States, focused on the development of VET policy and the ideas associated with vocational education theory, human capital theory, systems theory and threshold theory, program theory, employability theory, collective skills formation, stakeholder engagement and the capability approach. The literature review provided an overview of the motivations behind government initiates to expand skills development initiatives using different models, the shifting of responsibility for employability to the employee and promoting inclusivity within the nation. While VET objectives were overt, the need for socially inclusive results were not. There is a need to consider economic, social and education contexts when developing VET systems, given the diversity of Malaysian society. The argument is made within the thesis that the development of VET policy has been largely led by government and legislation, rather than industry. The thesis suggests that challenges inherent in the development of a VET system arise from the gaps between VET policy and practice, rhetoric and implementation. While the presence of policy mechanisms for system efficiency was acknowledged by stakeholders, VET policy was characterised by respondents as incremental rather than long term. Most stakeholders acknowledged the importance of lifelong learning and for the need for Malaysia to become a learning nation. The lack of a single agency to monitor skills development was considered an obstacle for effective skills development within the country. Accordingly, this thesis proposes a set of recommendations to address these challenges and provides directions for future research.
- Description: Doctor of Philosophy
- Authors: Ramanathan Chettiar, Palaniappan
- Date: 2017
- Type: Text , Thesis , PhD
- Full Text:
- Description: The vocational education and training (VET) sector in Malaysia has experienced significant change over the last 10 years. This thesis aimed to identify the challenges facing VET development in Malaysia and consider the lessons that can be learnt from Australian and Singaporean VET experiences. This research explored the challenges using a mixed methods approach (qualitative and quantitative) to answer the research question from a multiple stakeholder perspective. The 42 respondents included policymakers, chief executive officers (CEOs) from industry, CEOs from registered training organisations (RTOs), VET instructors and trainees. There were 34 respondents from Malaysia involved in the interviews. Two policymakers and two CEOs of RTOs from Singapore and Australia were also involved in the interviews. An online survey was answered by 209 Malaysian respondents. Significantly, the literature review, including literature from Malaysia, Australia, Singapore, the United Kingdom, Europe and the United States, focused on the development of VET policy and the ideas associated with vocational education theory, human capital theory, systems theory and threshold theory, program theory, employability theory, collective skills formation, stakeholder engagement and the capability approach. The literature review provided an overview of the motivations behind government initiates to expand skills development initiatives using different models, the shifting of responsibility for employability to the employee and promoting inclusivity within the nation. While VET objectives were overt, the need for socially inclusive results were not. There is a need to consider economic, social and education contexts when developing VET systems, given the diversity of Malaysian society. The argument is made within the thesis that the development of VET policy has been largely led by government and legislation, rather than industry. The thesis suggests that challenges inherent in the development of a VET system arise from the gaps between VET policy and practice, rhetoric and implementation. While the presence of policy mechanisms for system efficiency was acknowledged by stakeholders, VET policy was characterised by respondents as incremental rather than long term. Most stakeholders acknowledged the importance of lifelong learning and for the need for Malaysia to become a learning nation. The lack of a single agency to monitor skills development was considered an obstacle for effective skills development within the country. Accordingly, this thesis proposes a set of recommendations to address these challenges and provides directions for future research.
- Description: Doctor of Philosophy
The immanence of traumatic rupture : From the extra/ordinary to the originary
- Authors: Pedersen, Cassie
- Date: 2017
- Type: Text , Thesis , PhD
- Full Text:
- Description: This thesis critically intervenes into the interdisciplinary space of trauma theory by both identifying and circumventing the tendency of theorists to posit trauma in a relation of either transcendence or immanence to the contexts in which it occurs. In the classical trauma theories of Shoshana Felman, Dori Laub, and Cathy Caruth, trauma is broadly defined as a disruptive and aporetic event that shatters the cognitive, experiential, and representational frameworks necessary for making sense of the occurrence. These theorists conceptualise trauma as transcendent, seeing trauma as existing “outside” or “beyond” the frameworks in which it comes into being. However, more recent critics enter a polemic with classical trauma theorists by reconceptualising trauma as immanent to the all too human frameworks that facilitate its occurrence in the first place. I contend that the mutual exclusive insistence that trauma need either be conceived as immanent to, or transcendent of, the frameworks in which it occurs has led to a conceptual impasse in trauma theory that is rooted in a false dichotomy between these extremes. Tracing this oppositional tendency across a broad disciplinary spectrum, engaging contributions to trauma theory from philosophy, literary theory, and history, the major aim of this thesis to move beyond the false dichotomy between the immanent and the transcendent by revealing that these terms are inextricably bound. Drawing on the works of Hannah Arendt, Giorgio Agamben, Sigmund Freud, Jacques Lacan, Jean Laplanche, and Jean-François Lyotard (to name only a few), this thesis revitalises the space of trauma theory by offering a series of interlocking arguments that conceptualise the alterity of trauma as being immanent to the frameworks it transcends. This paradoxical logic is at the crux of what I refer to as the immanence of traumatic rupture.
- Description: Doctor of Philosophy
- Authors: Pedersen, Cassie
- Date: 2017
- Type: Text , Thesis , PhD
- Full Text:
- Description: This thesis critically intervenes into the interdisciplinary space of trauma theory by both identifying and circumventing the tendency of theorists to posit trauma in a relation of either transcendence or immanence to the contexts in which it occurs. In the classical trauma theories of Shoshana Felman, Dori Laub, and Cathy Caruth, trauma is broadly defined as a disruptive and aporetic event that shatters the cognitive, experiential, and representational frameworks necessary for making sense of the occurrence. These theorists conceptualise trauma as transcendent, seeing trauma as existing “outside” or “beyond” the frameworks in which it comes into being. However, more recent critics enter a polemic with classical trauma theorists by reconceptualising trauma as immanent to the all too human frameworks that facilitate its occurrence in the first place. I contend that the mutual exclusive insistence that trauma need either be conceived as immanent to, or transcendent of, the frameworks in which it occurs has led to a conceptual impasse in trauma theory that is rooted in a false dichotomy between these extremes. Tracing this oppositional tendency across a broad disciplinary spectrum, engaging contributions to trauma theory from philosophy, literary theory, and history, the major aim of this thesis to move beyond the false dichotomy between the immanent and the transcendent by revealing that these terms are inextricably bound. Drawing on the works of Hannah Arendt, Giorgio Agamben, Sigmund Freud, Jacques Lacan, Jean Laplanche, and Jean-François Lyotard (to name only a few), this thesis revitalises the space of trauma theory by offering a series of interlocking arguments that conceptualise the alterity of trauma as being immanent to the frameworks it transcends. This paradoxical logic is at the crux of what I refer to as the immanence of traumatic rupture.
- Description: Doctor of Philosophy
The role of Telomeres in the development of Cardiac Hypertrophy
- Authors: Booth, Scott
- Date: 2017
- Type: Text , Thesis , PhD
- Full Text:
- Description: Doctor of Philosophy
- Description: The overall aim of this thesis was to determine the role of telomeres in the development of cardiac hypertrophy. It was hypothesised that changes in cardiomyocyte telomere length and/or maintenance cause cardiac hypertrophy.
- Authors: Booth, Scott
- Date: 2017
- Type: Text , Thesis , PhD
- Full Text:
- Description: Doctor of Philosophy
- Description: The overall aim of this thesis was to determine the role of telomeres in the development of cardiac hypertrophy. It was hypothesised that changes in cardiomyocyte telomere length and/or maintenance cause cardiac hypertrophy.
Theoretical perspectives on using epidemiology and systems thinking to better understand the aetiology and prevention of distance running-related injury
- Authors: Hulme, Adam
- Date: 2017
- Type: Text , Thesis , PhD
- Full Text:
- Description: On a global scale, the sporting activity of distance running has increased in popularity. This is likely attributable to a growing societal concern for the documented rise in several lifestyle-related chronic diseases. As a form of exercise, running provides significant beneficial effects on a range of biomedical health indices, and is the preferred physical activity of choice for many people given its high accessibility and relatively low financial cost. Notwithstanding the many health-related benefits associated with running, the risk of sustaining a distance running-related injury (RRI) can be high. Therefore, from an injury prevention perspective, understanding why runners sustain RRI is of primary scientific importance. Over the last fifty years, the science behind RRI causation and prevention has attracted considerable interest amongst sports injury prevention researchers. During that time, there has been a concerted scholarly effort to understand the aetiology of RRI from an epidemiological and clinical research-based standpoint. Traditional scientific approaches have attempted to identify the effect of discrete trainingrelated, behavioural, and/or biomechanical exposures on the risk of developing either general or specific RRI. Despite what is now a considerable body of work, several descriptive and systematic reviews have found a history of previous injury to be the only definitive risk factor for subsequent RRI development. Alongside the continuing application of traditional scientific approaches, this PhD thesis promotes the use of a complementary ‘systems thinking’ theoretical perspective for better understanding the development and prevention of RRI. There are several contained chapters, the first of which is a systematic review of the RRI aetiological literature. After examining in closer detail the causal mechanism underpinning RRI development, a series of papers urge injury prevention scientists to consider drawing on alternative philosophical perspectives when planning and designing research. In building on the preceding arguments, the final chapters involve the construction of a systems ergonomics control structure model of the Australian distance running system, including the way RRI is managed and controlled.
- Description: Doctor of Philosophy
- Authors: Hulme, Adam
- Date: 2017
- Type: Text , Thesis , PhD
- Full Text:
- Description: On a global scale, the sporting activity of distance running has increased in popularity. This is likely attributable to a growing societal concern for the documented rise in several lifestyle-related chronic diseases. As a form of exercise, running provides significant beneficial effects on a range of biomedical health indices, and is the preferred physical activity of choice for many people given its high accessibility and relatively low financial cost. Notwithstanding the many health-related benefits associated with running, the risk of sustaining a distance running-related injury (RRI) can be high. Therefore, from an injury prevention perspective, understanding why runners sustain RRI is of primary scientific importance. Over the last fifty years, the science behind RRI causation and prevention has attracted considerable interest amongst sports injury prevention researchers. During that time, there has been a concerted scholarly effort to understand the aetiology of RRI from an epidemiological and clinical research-based standpoint. Traditional scientific approaches have attempted to identify the effect of discrete trainingrelated, behavioural, and/or biomechanical exposures on the risk of developing either general or specific RRI. Despite what is now a considerable body of work, several descriptive and systematic reviews have found a history of previous injury to be the only definitive risk factor for subsequent RRI development. Alongside the continuing application of traditional scientific approaches, this PhD thesis promotes the use of a complementary ‘systems thinking’ theoretical perspective for better understanding the development and prevention of RRI. There are several contained chapters, the first of which is a systematic review of the RRI aetiological literature. After examining in closer detail the causal mechanism underpinning RRI development, a series of papers urge injury prevention scientists to consider drawing on alternative philosophical perspectives when planning and designing research. In building on the preceding arguments, the final chapters involve the construction of a systems ergonomics control structure model of the Australian distance running system, including the way RRI is managed and controlled.
- Description: Doctor of Philosophy
Your stories, my stories, our stories : Power/knowledge relations and Koorie perspectives in discourses of Australian History Education
- Authors: Weuffen, Sara
- Date: 2017
- Type: Text , Thesis , PhD
- Full Text:
- Description: Over the past decade, popularised notions and approaches to the teaching and learning of Australia’s history have been overwhelmingly researched and written by non-Indigenous academics. This research challenges dominant non-Indigenous curriculum and research agendas by exploring how, why, and to what degree Koorie, and by extension Aboriginal and Torres Strait Islander perspectives, are taken up for the development and implementation of school-based curriculum aligned to the Year Nine Australian Curriculum: History. The research is guided by Michel Foucault’s poststructural theory to examine a range of discourses identified by year nine history teachers and three Koorie Elders in Ballarat and Greater Shepparton. It is supplemented through Martin Nakata’s ground breaking work on Indigenous Standpoint Theory to acknowledge and highlight the cross-cultural/racial power/knowledge relations of peoples who are involved in the research. It is a timely response to the 2013 mandatory implementation of the Australian Curriculum: History in Victorian state schools. The research builds upon academic research (see Clark, 2006; Harrison & Greenfield, 2011; Mackinlay & Barney, 2011; 2014b) about how teachers may engage critically with Aboriginal and Torres Strait Islander specific content. It contributes significantly to a field of research that has not received much attention over the past eleven years. The research is a striking contribution to understandings of Australian cross-cultural/racial research and education practices. It argues that teachers are not necessarily insensitive to cross-cultural/racial relations operating in Australia; rather, that more rigorous and comprehensive teacher education programs are required for the integration of Koorie perspectives on Australian history. The research clearly demonstrates that stories from local Koorie communities offers up a wealth of knowledge that may be drawn upon to reform curriculum agendas towards shared-history understandings of Australia’s history. Ultimately, it advocates for a more nuanced and mature conversation about contemporary cross-cultural/racial education practices in Australia.
- Description: Doctor of Philosophy
- Authors: Weuffen, Sara
- Date: 2017
- Type: Text , Thesis , PhD
- Full Text:
- Description: Over the past decade, popularised notions and approaches to the teaching and learning of Australia’s history have been overwhelmingly researched and written by non-Indigenous academics. This research challenges dominant non-Indigenous curriculum and research agendas by exploring how, why, and to what degree Koorie, and by extension Aboriginal and Torres Strait Islander perspectives, are taken up for the development and implementation of school-based curriculum aligned to the Year Nine Australian Curriculum: History. The research is guided by Michel Foucault’s poststructural theory to examine a range of discourses identified by year nine history teachers and three Koorie Elders in Ballarat and Greater Shepparton. It is supplemented through Martin Nakata’s ground breaking work on Indigenous Standpoint Theory to acknowledge and highlight the cross-cultural/racial power/knowledge relations of peoples who are involved in the research. It is a timely response to the 2013 mandatory implementation of the Australian Curriculum: History in Victorian state schools. The research builds upon academic research (see Clark, 2006; Harrison & Greenfield, 2011; Mackinlay & Barney, 2011; 2014b) about how teachers may engage critically with Aboriginal and Torres Strait Islander specific content. It contributes significantly to a field of research that has not received much attention over the past eleven years. The research is a striking contribution to understandings of Australian cross-cultural/racial research and education practices. It argues that teachers are not necessarily insensitive to cross-cultural/racial relations operating in Australia; rather, that more rigorous and comprehensive teacher education programs are required for the integration of Koorie perspectives on Australian history. The research clearly demonstrates that stories from local Koorie communities offers up a wealth of knowledge that may be drawn upon to reform curriculum agendas towards shared-history understandings of Australia’s history. Ultimately, it advocates for a more nuanced and mature conversation about contemporary cross-cultural/racial education practices in Australia.
- Description: Doctor of Philosophy
A conceptual re-alignment of methodology underpinning tax effect accounting : An Australian exploration of the contemporary normalising effect
- Authors: Morton, Elizabeth
- Date: 2016
- Type: Text , Thesis , PhD
- Full Text:
- Description: This research examines the presence and effectiveness of the ‘normalising effect’, traditionally offered as the main justification for tax effect accounting’s (TEA) adoption. TEA can be seen as a technical facet of accounting practice, ‘normalising’ the timing differences between the accounting and taxation systems. That is, income tax is recognised according to when transactions are recognised for accounting purposes in order to ‘normalise’ reported profits, thereby reflecting an income statement focus. It has been contended that this will improve the usefulness of financial reports by ‘correcting’ misleading and ‘unreal’ fluctuations in income tax. Australia’s adoption of AIFRS in 2005 entailed a major conceptual re-alignment of the methodology underpinning TEA, moving away from the income statement focus in favour of a balance sheet focus. This implied a different normalisation emphasis. It is within this contemporary setting, based on a study of 90 companies over the two regulatory periods between 2002 and 2011 (AGAAP and AIFRS), that a quantitative measure of the presence and effectiveness of the normalising effect was undertaken, additionally considering the subsequent balance sheet impact. Effective normalisation was revealed during the AGAAP period, whilst only effective after the removal of loss makers during the AIFRS period. These findings suggest that the relaxation of recognition criteria under AIFRS may have had a meaningful impact on the effectiveness of the new standard. However, when normalisation was given a more narrow definition in light of prima facie tax, deferred taxes had a more substantial impact, particularly during the AIFRS period. Such findings are consistent with the notion thatTEA enables reported tax to be ‘as if’ it were a function of accounting, without a substantial build up on the balance sheet as a consequence. These findings have implications for evaluating the efficacy of TEA and comprehending the nature of contemporary financial statements.
- Description: Doctor of Philosophy
- Authors: Morton, Elizabeth
- Date: 2016
- Type: Text , Thesis , PhD
- Full Text:
- Description: This research examines the presence and effectiveness of the ‘normalising effect’, traditionally offered as the main justification for tax effect accounting’s (TEA) adoption. TEA can be seen as a technical facet of accounting practice, ‘normalising’ the timing differences between the accounting and taxation systems. That is, income tax is recognised according to when transactions are recognised for accounting purposes in order to ‘normalise’ reported profits, thereby reflecting an income statement focus. It has been contended that this will improve the usefulness of financial reports by ‘correcting’ misleading and ‘unreal’ fluctuations in income tax. Australia’s adoption of AIFRS in 2005 entailed a major conceptual re-alignment of the methodology underpinning TEA, moving away from the income statement focus in favour of a balance sheet focus. This implied a different normalisation emphasis. It is within this contemporary setting, based on a study of 90 companies over the two regulatory periods between 2002 and 2011 (AGAAP and AIFRS), that a quantitative measure of the presence and effectiveness of the normalising effect was undertaken, additionally considering the subsequent balance sheet impact. Effective normalisation was revealed during the AGAAP period, whilst only effective after the removal of loss makers during the AIFRS period. These findings suggest that the relaxation of recognition criteria under AIFRS may have had a meaningful impact on the effectiveness of the new standard. However, when normalisation was given a more narrow definition in light of prima facie tax, deferred taxes had a more substantial impact, particularly during the AIFRS period. Such findings are consistent with the notion thatTEA enables reported tax to be ‘as if’ it were a function of accounting, without a substantial build up on the balance sheet as a consequence. These findings have implications for evaluating the efficacy of TEA and comprehending the nature of contemporary financial statements.
- Description: Doctor of Philosophy
A three tier forensic model for automatic identification of evidence of child exploitation by analysing the content of chat-logs
- Authors: Miah, Md Waliur Rahman
- Date: 2016
- Type: Text , Thesis , PhD
- Full Text:
- Description: Detection of child exploitation (CE) in Internet chatting by locating evidence in the chat-log is an important issue for the protection of children from prospective online paedophiles. The un-grammatical and informal nature of chat-text makes it difficult for existing formal language processing techniques to handle the problem. The methodology of the current research avoids those difficulties by developing a multi-tier digital forensic model bulit on new ideas of psychological similarity measures and ways of applying them to chat-texts. The model uses text classifiers in the beginning to identify shallow evidence of CE. For locating the particular evidence it is required to identify the behavioural pattern of CE chats consisting of documented CE psychological stages and associate the perpetrators' posts to them. Similarities among the posts of a chat play an important role for the task of differentiating and identifying these stages. To accomplish this task a novel similarity measure is constructed backed by a dictionary with terms associated with each CE stage. Using the new similarity measure is constructed backed by a dictionary with terms associated with each CE stage. Using the new similarity measure in a hieraarchial agglomerative algoritm a new clusterer is built to cluster the posts of a chat-log into the CE stages to learn whether it follows the CE pattern. Inspired by the field of recognition of textual entailment a new soft entailment technique is developed and implemented to locate the specific posts associated with the CE stages. Those specific posts of the perpetrator are extarcted as the particular evidence from the chat-log. It is anticipated that the developed methodology will have many future pratical implementations. It would assist in the development of forensic tools for digital forensic experts in law and enforcement agencies to conveniently locate evidence of online child grooming in a confiscated hard disk drive. Another future implementation would be a parental filter used by parents to protect their children from potential online offenders.
- Description: Doctor of Philosphy
- Authors: Miah, Md Waliur Rahman
- Date: 2016
- Type: Text , Thesis , PhD
- Full Text:
- Description: Detection of child exploitation (CE) in Internet chatting by locating evidence in the chat-log is an important issue for the protection of children from prospective online paedophiles. The un-grammatical and informal nature of chat-text makes it difficult for existing formal language processing techniques to handle the problem. The methodology of the current research avoids those difficulties by developing a multi-tier digital forensic model bulit on new ideas of psychological similarity measures and ways of applying them to chat-texts. The model uses text classifiers in the beginning to identify shallow evidence of CE. For locating the particular evidence it is required to identify the behavioural pattern of CE chats consisting of documented CE psychological stages and associate the perpetrators' posts to them. Similarities among the posts of a chat play an important role for the task of differentiating and identifying these stages. To accomplish this task a novel similarity measure is constructed backed by a dictionary with terms associated with each CE stage. Using the new similarity measure is constructed backed by a dictionary with terms associated with each CE stage. Using the new similarity measure in a hieraarchial agglomerative algoritm a new clusterer is built to cluster the posts of a chat-log into the CE stages to learn whether it follows the CE pattern. Inspired by the field of recognition of textual entailment a new soft entailment technique is developed and implemented to locate the specific posts associated with the CE stages. Those specific posts of the perpetrator are extarcted as the particular evidence from the chat-log. It is anticipated that the developed methodology will have many future pratical implementations. It would assist in the development of forensic tools for digital forensic experts in law and enforcement agencies to conveniently locate evidence of online child grooming in a confiscated hard disk drive. Another future implementation would be a parental filter used by parents to protect their children from potential online offenders.
- Description: Doctor of Philosphy
An investigation into the relationships between novel Y chromosome-linked long non-coding RNAs and coronary artery disease
- Authors: Molina, Elsa
- Date: 2016
- Type: Text , Thesis , PhD
- Full Text:
- Description: Coronary artery disease (CAD) is the most common type of cardiovascular disease and is one of the leading causes of morbidity and mortality globally. However, the pathogenesis of atherosclerosis which leads to CAD and results in heart attacks, heart failure and death is not well understood. In this context, studies have demonstrated a positive correlation between increased hepatic free fatty acids (FFAs) in atherosclerosis and CAD. Although CAD has welldefined environmental risk factors, genome-wide association studies (GWAS) have demonstrated a genetic influence on CAD. Previous studies have shown that genetic variation within the human Y chromosome is associated with an increased risk of developing CAD independent of traditional cardiovascular risk factors; possibly through a modulating effect of an adaptive immunity and inflammatory response by macrophages in men. However, no Y chromosome-linked gene has been investigated in this disease so far. Long non-coding RNAs (lncRNAs) have recently gained focused attention as a new class of regulatory RNA molecules involved in cardiovascular function and associated disease, particularly long intergenic noncoding RNAs (lincRNAs), the largest class within the lncRNA group so far. To date, Y chromosome-linked lincRNAs are poorly characterised and the potential link between these non-coding RNA molecules and CAD in men has not been investigated. In this context, I hypothesised that Y chromosome-linked lncRNAs may regulate pathways involved in lipid metabolism and trigger an over accumulation of FFAs in coronary arteries contributing to atherosclerosis, the underlying cause of CAD. The main objective of this thesis was to therefore further investigate the relationship between the Y chromosome, lncRNAs and CAD in light of the deficiencies within the literature to better understand the causative molecular mechanisms of CAD pathophysiology in men. In my first study (Chapter 2), I identified for the first time through gene expression analysis (real-time PCR) the expression of the following (unannotated in PubMed) Y chromosomelinked lincRNA transcripts: lnc-KDM5D-4:1, lnc-ZFY-1:1, lnc-ZFY-1:3, lnc-ZFY-2:1, lnc- RBMY1B-1:1, lnc-RBMY1B-1:4, lnc-RBMY1J-1:1, lnc-RBMY1J-1:2, and lnc-RBMY1J- 1:3, across 21 different normal, human tissues such as adipose, bladder, brain, cervix, colon, esophagus, heart, kidney, liver, lung, ovary, placenta, prostate, skeletal muscle, small intestine, spleen, testes, thymus, thyroid, trachea, and white blood cells (WBCs) (leukocytes). I found that Y-linked lincRNAs were expressed at low levels (with the lowest CT number equal at 24.5) with a high tissue-specificity for some. Also, the Y-linked RNA gene lnc-KDM5D-4 was widely expressed across male tissues while the Y-linked RNA gene lnc-RBMY1J-1 was specific to the testes. Furthermore, this study presents the first evidence through gene expression analysis that the Y chromosome-linked lincRNA transcripts, lnc-KDM5D-4:1, lnc- ZFY-1:1, lnc-ZFY-1:3, lnc-ZFY-2:1, lnc-RBMY1B-1:1, lnc-RBMY1B-1:4, and lnc- RBMY1J-1:3 are expressed in male leukocytes. Hence, these lincRNAs could be potential non-protein coding gene candidates for CAD research. Knowing that the Y chromosome contributes to lipid levels in humans, to further explore the potential function of these Y-linked lincRNAs in CAD in men, I then studied their expression in a fatty liver context (steatosis-associated atherosclerosis) (Chapter 3). This was performed using the human hepatocellular liver carcinoma cell line, HepG2; the human model of liver cells in CAD research. This study showed for the first time that the Y-linked lincRNA transcripts lnc-KDM5D-4:1, lnc-ZFY-1:1, lnc-ZFY-2:1, lnc-RBMY1B-1:1, and lncxix RBMY1B-1:4 were expressed in HepG2 cells, hence in hepatocellular carcinoma (HCC). Furthermore, this study demonstrated that lnc-KDM5D-4 is a nuclear-retained lincRNA using RNA fluorescence in situ hybridisation (RNA FISH), and is upregulated in palmitate-induced steatosis within hepatocytes (Fold Change = 2.16; p-value = 0.00216). The human Atherosclerosis RT2 Profiler™ PCR Array determined that the silencing of lnc-KDM5D-4 in HepG2 cells was triggering the upregulation of the inhibitor of apoptosis (IAP) gene baculoviral IAP repeat containing 3 (BIRC3) (Fold Change = 12.45, p-value = 0.000025), a well-described protein-coding gene expressed by vascular smooth muscle cells and macrophage foam cells of the inflamed vascular wall of atherosclerotic arteries. Furthermore, perilipin 2 (PLIN2), a gene known to be implicated in lipid metabolism, was also found upregulated. Therefore, this study provides the first evidence for the involvement of a Ychromosome- linked lincRNA, lnc-KDM5D-4, in steatosis-associated atherosclerosis and its retained-nuclear cellular localisation in human hepatocytes, suggesting a function which takes place in the cell nucleus and may play a role in regulating metabolic processes in the liver that are implicated in atherosclerosis. Having shown that a Y chromosome-linked lincRNA could be involved in the determination of lipid level and hence atherosclerosis in men, and to further explore the role of lnc-KDM5D- 4, the expression of this Y-linked lincRNA was studied in human coronary artery smooth muscle cells, especially in atherosclerotic coronary artery cells (Chapter 4). The expression of other non-coding RNAs were also studied such as the protein kinase, Y-linked, pseudogene (PRKY) - previously considered as a new functional candidate for the development of CAD. By analysing the transcriptome of human atherosclerotic and non-atherosclerotic coronary artery smooth muscle cells, I established evidence for the implication of the human Y chromosome in atherosclerosis and CAD. This study exposed the general underexpression of the transcripts from the Y chromosome in atherosclerotic cells implicating a loss or a repression of this chromosome in relation to CAD. Furthermore, this research determined by RNA sequencing a significant downregulation of seven transcripts from Y chromosome genes, including RPS4Y1, USP9Y, DDX3Y, TXLNGY, NLGN4Y and PRKY. RNA FISH determined the subcellular localisation of PRKY in smooth muscle cells by showing a nuclear and a cytoplasmic expression. Furthermore, qPCR gene expression analysis demonstrated that lnc- KDM5D-4 is significantly downregulated in atherosclerotic cells in comparison to the nonatherosclerotic cells. Together, these results showed that lnc-KDM5D-4 is a potential regulator of PLIN2 and BIRC3 genes. Therefore, the downregulation of lnc-KDM5D-4 in atherosclerotic coronary artery smooth muscle cells suggests that this downregulation could be linked to the inflammation of the vascular smooth muscle cells in pathophysiology of CAD via the inhibition of apoptosis of the vascular smooth muscle cells triggered by the upregulation of BIRC3 in these cells. Overall, this study is the first to emphasise a potential involvement of a Y-specific lincRNA, called lnc-KDM5D-4, as a potential contributor to physiology in males. Lnc-KDM5D-4 knockdown resulted in an upregulation of anti-apoptosis and lipid metabolism-related genes. Collectively, our data suggest that the male–specific lnc-KDM5D-4 may regulate key processes in cellular inflammation that trigger atherosclerosis and CAD in men. Accordingly, this data suggests that lnc-KDM5D-4 may provide a novel molecular biomarker for atherosclerotic arteries, and could potentially lead to revolutionary treatment modalities on Y-linked lincRNA as therapeutic agents to manipulate CAD-causing genes in men.
- Description: Doctor of Philosophy
- Authors: Molina, Elsa
- Date: 2016
- Type: Text , Thesis , PhD
- Full Text:
- Description: Coronary artery disease (CAD) is the most common type of cardiovascular disease and is one of the leading causes of morbidity and mortality globally. However, the pathogenesis of atherosclerosis which leads to CAD and results in heart attacks, heart failure and death is not well understood. In this context, studies have demonstrated a positive correlation between increased hepatic free fatty acids (FFAs) in atherosclerosis and CAD. Although CAD has welldefined environmental risk factors, genome-wide association studies (GWAS) have demonstrated a genetic influence on CAD. Previous studies have shown that genetic variation within the human Y chromosome is associated with an increased risk of developing CAD independent of traditional cardiovascular risk factors; possibly through a modulating effect of an adaptive immunity and inflammatory response by macrophages in men. However, no Y chromosome-linked gene has been investigated in this disease so far. Long non-coding RNAs (lncRNAs) have recently gained focused attention as a new class of regulatory RNA molecules involved in cardiovascular function and associated disease, particularly long intergenic noncoding RNAs (lincRNAs), the largest class within the lncRNA group so far. To date, Y chromosome-linked lincRNAs are poorly characterised and the potential link between these non-coding RNA molecules and CAD in men has not been investigated. In this context, I hypothesised that Y chromosome-linked lncRNAs may regulate pathways involved in lipid metabolism and trigger an over accumulation of FFAs in coronary arteries contributing to atherosclerosis, the underlying cause of CAD. The main objective of this thesis was to therefore further investigate the relationship between the Y chromosome, lncRNAs and CAD in light of the deficiencies within the literature to better understand the causative molecular mechanisms of CAD pathophysiology in men. In my first study (Chapter 2), I identified for the first time through gene expression analysis (real-time PCR) the expression of the following (unannotated in PubMed) Y chromosomelinked lincRNA transcripts: lnc-KDM5D-4:1, lnc-ZFY-1:1, lnc-ZFY-1:3, lnc-ZFY-2:1, lnc- RBMY1B-1:1, lnc-RBMY1B-1:4, lnc-RBMY1J-1:1, lnc-RBMY1J-1:2, and lnc-RBMY1J- 1:3, across 21 different normal, human tissues such as adipose, bladder, brain, cervix, colon, esophagus, heart, kidney, liver, lung, ovary, placenta, prostate, skeletal muscle, small intestine, spleen, testes, thymus, thyroid, trachea, and white blood cells (WBCs) (leukocytes). I found that Y-linked lincRNAs were expressed at low levels (with the lowest CT number equal at 24.5) with a high tissue-specificity for some. Also, the Y-linked RNA gene lnc-KDM5D-4 was widely expressed across male tissues while the Y-linked RNA gene lnc-RBMY1J-1 was specific to the testes. Furthermore, this study presents the first evidence through gene expression analysis that the Y chromosome-linked lincRNA transcripts, lnc-KDM5D-4:1, lnc- ZFY-1:1, lnc-ZFY-1:3, lnc-ZFY-2:1, lnc-RBMY1B-1:1, lnc-RBMY1B-1:4, and lnc- RBMY1J-1:3 are expressed in male leukocytes. Hence, these lincRNAs could be potential non-protein coding gene candidates for CAD research. Knowing that the Y chromosome contributes to lipid levels in humans, to further explore the potential function of these Y-linked lincRNAs in CAD in men, I then studied their expression in a fatty liver context (steatosis-associated atherosclerosis) (Chapter 3). This was performed using the human hepatocellular liver carcinoma cell line, HepG2; the human model of liver cells in CAD research. This study showed for the first time that the Y-linked lincRNA transcripts lnc-KDM5D-4:1, lnc-ZFY-1:1, lnc-ZFY-2:1, lnc-RBMY1B-1:1, and lncxix RBMY1B-1:4 were expressed in HepG2 cells, hence in hepatocellular carcinoma (HCC). Furthermore, this study demonstrated that lnc-KDM5D-4 is a nuclear-retained lincRNA using RNA fluorescence in situ hybridisation (RNA FISH), and is upregulated in palmitate-induced steatosis within hepatocytes (Fold Change = 2.16; p-value = 0.00216). The human Atherosclerosis RT2 Profiler™ PCR Array determined that the silencing of lnc-KDM5D-4 in HepG2 cells was triggering the upregulation of the inhibitor of apoptosis (IAP) gene baculoviral IAP repeat containing 3 (BIRC3) (Fold Change = 12.45, p-value = 0.000025), a well-described protein-coding gene expressed by vascular smooth muscle cells and macrophage foam cells of the inflamed vascular wall of atherosclerotic arteries. Furthermore, perilipin 2 (PLIN2), a gene known to be implicated in lipid metabolism, was also found upregulated. Therefore, this study provides the first evidence for the involvement of a Ychromosome- linked lincRNA, lnc-KDM5D-4, in steatosis-associated atherosclerosis and its retained-nuclear cellular localisation in human hepatocytes, suggesting a function which takes place in the cell nucleus and may play a role in regulating metabolic processes in the liver that are implicated in atherosclerosis. Having shown that a Y chromosome-linked lincRNA could be involved in the determination of lipid level and hence atherosclerosis in men, and to further explore the role of lnc-KDM5D- 4, the expression of this Y-linked lincRNA was studied in human coronary artery smooth muscle cells, especially in atherosclerotic coronary artery cells (Chapter 4). The expression of other non-coding RNAs were also studied such as the protein kinase, Y-linked, pseudogene (PRKY) - previously considered as a new functional candidate for the development of CAD. By analysing the transcriptome of human atherosclerotic and non-atherosclerotic coronary artery smooth muscle cells, I established evidence for the implication of the human Y chromosome in atherosclerosis and CAD. This study exposed the general underexpression of the transcripts from the Y chromosome in atherosclerotic cells implicating a loss or a repression of this chromosome in relation to CAD. Furthermore, this research determined by RNA sequencing a significant downregulation of seven transcripts from Y chromosome genes, including RPS4Y1, USP9Y, DDX3Y, TXLNGY, NLGN4Y and PRKY. RNA FISH determined the subcellular localisation of PRKY in smooth muscle cells by showing a nuclear and a cytoplasmic expression. Furthermore, qPCR gene expression analysis demonstrated that lnc- KDM5D-4 is significantly downregulated in atherosclerotic cells in comparison to the nonatherosclerotic cells. Together, these results showed that lnc-KDM5D-4 is a potential regulator of PLIN2 and BIRC3 genes. Therefore, the downregulation of lnc-KDM5D-4 in atherosclerotic coronary artery smooth muscle cells suggests that this downregulation could be linked to the inflammation of the vascular smooth muscle cells in pathophysiology of CAD via the inhibition of apoptosis of the vascular smooth muscle cells triggered by the upregulation of BIRC3 in these cells. Overall, this study is the first to emphasise a potential involvement of a Y-specific lincRNA, called lnc-KDM5D-4, as a potential contributor to physiology in males. Lnc-KDM5D-4 knockdown resulted in an upregulation of anti-apoptosis and lipid metabolism-related genes. Collectively, our data suggest that the male–specific lnc-KDM5D-4 may regulate key processes in cellular inflammation that trigger atherosclerosis and CAD in men. Accordingly, this data suggests that lnc-KDM5D-4 may provide a novel molecular biomarker for atherosclerotic arteries, and could potentially lead to revolutionary treatment modalities on Y-linked lincRNA as therapeutic agents to manipulate CAD-causing genes in men.
- Description: Doctor of Philosophy
Applying prospect-refuge theory to a local environment : My house and the nature strip outside my house
- Authors: Ryan, Vin
- Date: 2016
- Type: Text , Thesis , PhD
- Full Text:
- Description: Jay Appleton’s prospect-refuge theory asserts that there are innate, evolutionary factors that influence how we respond to the landscapes around us. Appleton identifies an instinctive desire for prospect and refuge as significant factors that influence the way that we read and respond to our surroundings. Appleton’s notion of prospect is one that encapsulates our desire to seek opportunity and interest from our surroundings. His notion of refuge refers to a desire to seek safety and shelter from within the same environment. Where Appleton seeks meaning from historical notions of landscape, subsequent writers and practitioners have applied prospect-refuge theory to broader categories that encapsulate a notion of environment, this is particularly the case within the field of architecture. Since prospect-refuge theory is largely forgotten within the field of fine art, this project seeks to test its currency as an applicable and useful tool for a contemporary visual art practitioner. My aim here is to test the limits of prospect-refuge theory by applying its universal principles to a set of parochial and idiosyncratic concerns that form part of my visual arts practice. Specifically I look at a personal set of associations that I have with the spaces of my suburban home and nature strip. I seek to use prospect-refuge theory as a means through which to contextualise these personal responses within a broader and more complex discourse.
- Description: Doctor of Philosophy
- Authors: Ryan, Vin
- Date: 2016
- Type: Text , Thesis , PhD
- Full Text:
- Description: Jay Appleton’s prospect-refuge theory asserts that there are innate, evolutionary factors that influence how we respond to the landscapes around us. Appleton identifies an instinctive desire for prospect and refuge as significant factors that influence the way that we read and respond to our surroundings. Appleton’s notion of prospect is one that encapsulates our desire to seek opportunity and interest from our surroundings. His notion of refuge refers to a desire to seek safety and shelter from within the same environment. Where Appleton seeks meaning from historical notions of landscape, subsequent writers and practitioners have applied prospect-refuge theory to broader categories that encapsulate a notion of environment, this is particularly the case within the field of architecture. Since prospect-refuge theory is largely forgotten within the field of fine art, this project seeks to test its currency as an applicable and useful tool for a contemporary visual art practitioner. My aim here is to test the limits of prospect-refuge theory by applying its universal principles to a set of parochial and idiosyncratic concerns that form part of my visual arts practice. Specifically I look at a personal set of associations that I have with the spaces of my suburban home and nature strip. I seek to use prospect-refuge theory as a means through which to contextualise these personal responses within a broader and more complex discourse.
- Description: Doctor of Philosophy
Assessing productive soil - landscapes in Victoria using digital soil mapping
- Authors: Robinson, Nathan
- Date: 2016
- Type: Text , Thesis , PhD
- Full Text:
- Description: Spatial soil information is used to support questions on agriculture and the environment from global to local scales. Historically, soil mapping has been used to inform and guide a multitude of land users with their decisions. Demand for specific spatial soil information is increasing in response from a wider range of users operating across agricultural and environmental domains. To satisfy these demands, users must be provided with practical and relevant spatial soil information. Novel approaches are required to deal with global deficiencies in available soil information. A major limitation to this is the plethora of incongruent legacy data with poor spatial and temporal coverage. This research study initially identifies the specific needs of users for spatial soil information with a focus on the requirements of biophysical modellers. Secondly, error sources that hamper Digital Soil Mapping (DSM) are identified, described and assessed using pH in practical and relevant examples. A final aim is to spatially predict soil properties (e.g. clay mineralogy) that underpin soil chemical behaviour. This is achieved by harmonising legacy data in combination with new spectroscopy techniques and a spatial inference approach. The spatial soil information needs of biophysical modellers in Victoria, Australia were found to be consistent with global needs for information including soil water characteristics, organic carbon and effective rooting depth. To accommodate stochastic and epistemic uncertainties in spatial soil information, uncertainty frameworks proved effective to deal with, and understand the limitations of legacy data in spatial inference models. Robust and reliable spectroscopic models for properties that are linked to functions and services delivered by soil were achieved and used in 3D spatial models. These findings will enable a tactical response through the delivery of pertinent spatial soil information that is contemporary, quality assured and sought by users. Learnings presented should enable producers of spatial soil information to be more comprehensive in their delivery of products that are easy to use, accessible and understood by a growing user community.
- Description: Doctor of Philosphy
- Authors: Robinson, Nathan
- Date: 2016
- Type: Text , Thesis , PhD
- Full Text:
- Description: Spatial soil information is used to support questions on agriculture and the environment from global to local scales. Historically, soil mapping has been used to inform and guide a multitude of land users with their decisions. Demand for specific spatial soil information is increasing in response from a wider range of users operating across agricultural and environmental domains. To satisfy these demands, users must be provided with practical and relevant spatial soil information. Novel approaches are required to deal with global deficiencies in available soil information. A major limitation to this is the plethora of incongruent legacy data with poor spatial and temporal coverage. This research study initially identifies the specific needs of users for spatial soil information with a focus on the requirements of biophysical modellers. Secondly, error sources that hamper Digital Soil Mapping (DSM) are identified, described and assessed using pH in practical and relevant examples. A final aim is to spatially predict soil properties (e.g. clay mineralogy) that underpin soil chemical behaviour. This is achieved by harmonising legacy data in combination with new spectroscopy techniques and a spatial inference approach. The spatial soil information needs of biophysical modellers in Victoria, Australia were found to be consistent with global needs for information including soil water characteristics, organic carbon and effective rooting depth. To accommodate stochastic and epistemic uncertainties in spatial soil information, uncertainty frameworks proved effective to deal with, and understand the limitations of legacy data in spatial inference models. Robust and reliable spectroscopic models for properties that are linked to functions and services delivered by soil were achieved and used in 3D spatial models. These findings will enable a tactical response through the delivery of pertinent spatial soil information that is contemporary, quality assured and sought by users. Learnings presented should enable producers of spatial soil information to be more comprehensive in their delivery of products that are easy to use, accessible and understood by a growing user community.
- Description: Doctor of Philosphy