ORCID Profile
0000-0003-4504-2338
Current Organisations
Foresion
,
City University
,
SOAS University of London
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In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Tree Improvement (Selection and Breeding) | Forestry Sciences | Forestry Management and Environment | Marketing | Wood Processing | Sustainability Accounting and Reporting | Consumer-Oriented Product or Service Development | Computer-Human Interaction
Marketing | Technological and Organisational Innovation | Wood Sawing and Veneer | Livestock Product Traceability and Quality Assurance | Integration of Farm and Forestry | Hardwood Plantations |
Publisher: IGI Global
Date: 2014
DOI: 10.4018/978-1-4666-6150-9.CH006
Abstract: This chapter examines how the rapid diffusion of social media and Mobile Web is impacting personal healthcare management amongst those living with chronic disease. Despite a recent increase in research in this area (Moorhead, et al., 2013), evaluating the “social” still poses challenges to conventional notions of the “Internet empowered” patient and the best ways to support the management of chronic disease (Østbye, et al., 2005). The chapter argues that there is a need for advancing conceptual thinking on how health and IT are now interacting at the level of in idual patients/citizens and how this is continuing to transform health professional-patient interactions (Glasgow, et al., 2008). By drawing on ex les of e-health research, the chapter illustrates how notions of the “social” and “technology” have evolved over time from medically centred e-health through to patient-centred e-health. The chapter considers how this evolution may lead to a future focus on community-centred personal healthcare of chronic disease supported by “social” e-health tools, applications, and services that continue to blur the more conventional boundaries between health professionals, patients, and their social networks.
Publisher: Wiley
Date: 06-03-2012
Publisher: Elsevier BV
Date: 06-2020
Publisher: Springer International Publishing
Date: 2019
Publisher: Wiley
Date: 06-2016
DOI: 10.1002/ASE.1549
Abstract: Gross anatomy instruction in medical curricula involve a range of resources and activities including dissection, prosected specimens, anatomical models, radiological images, surface anatomy, textbooks, atlases, and computer-assisted learning (CAL). These resources and activities are underpinned by the expectation that students will actively engage in self-directed study (SDS) to enhance their knowledge and understanding of anatomy. To gain insight into preclinical versus clinical medical students' preferences for SDS resources for learning gross anatomy, and whether these vary on demographic characteristics and attitudes toward anatomy, students were surveyed at two Australian medical schools, one undergraduate-entry and the other graduate-entry. Lecture/tutorial ractical notes were ranked first by 33% of 156 respondents (mean rank ± SD, 2.48 ± 1.38), textbooks by 26% (2.62 ± 1.35), atlases 20% (2.80 ± 1.44), videos 10% (4.34 ± 1.68), software 5% (4.78 ± 1.50), and websites 4% (4.24 ± 1.34). Among CAL resources, Wikipedia was ranked highest. The most important factor in selecting CAL resources was cost (ranked first by 46%), followed by self-assessment, ease of use, alignment with curriculum, and excellent graphics (each 6-9%). Compared with preclinical students, clinical students ranked software and Acland's Video Atlas of Human Anatomy higher and felt radiological images were more important in selecting CAL resources. Along with other studies reporting on the quality, features, and impact on learning of CAL resources, the ersity of students' preferences and opinions on usefulness and ease of use reported here can help guide faculty in selecting and recommending a range of CAL and other resources to their students to support their self-directed study.
Publisher: MDPI AG
Date: 07-04-2022
DOI: 10.3390/APP12083723
Abstract: Blockchain applications have received a lot of attention in recent years. They provide enormous benefits and advantages to many different sectors. To date, there have not been any systematic studies comprehensively reviewing current blockchain-based applications in the forestry sector. This paper examines published work on blockchain-based applications in the forestry sector. A systematic review was conducted to identify, analyze, and discuss current literature on current blockchain applications deployed (and/or proposed) in the forestry sector, grouping results into three domains of forest management, traceability of forest-based products, and forest fire detection based on content analysis. The analyses highlight reported benefits, opportunities, and challenges of blockchain applications in the forestry sector. The study results show that blockchain has great potential in sustainable forestry, minimizing illegal logging, conserving bio ersity, and many other areas in forestry. It also shows that blockchain in forestry is still immature and complex, since it requires specialists to adopt. This paper contributes towards filling the existing research gap through this systematic review on blockchain applications in forestry. This review offers insights into a deep understanding of blockchain applications for managers, practitioners, and consultants interested in forestry. The paper identifies existing research gaps on related topics of blockchain applications in forestry and makes recommendations on potential future directions for research into blockchain in forestry.
Publisher: IGI Global
Date: 2008
DOI: 10.4018/978-1-59904-945-8.CH076
Abstract: This chapter examines issues relating to the introduction of information and communication technologies that have emerged as part of planning for the Pathways Home for Respiratory Illness project. The project aims to assist patients with chronic respiratory conditions (chronic obstructive pulmonary disease and cystic fibrosis) to achieve increased levels of self-management and self-efficacy through interactions with case mentors and the deployment of ICTs. The chapter highlights that in deploying ICTs, it is important to ensure that solutions implemented are based on a detailed understanding of users, their needs and complex interactions with health professionals, the health system, and their wider environment. Achieving benefits from the introduction of ICTs as part of processes aimed at building sustainable self-efficacy and self-management is very difficult, not least because of a desire to avoid simply replacing patient dependency on health professionals with dependency on technology. More specifically, it also requires sensitivity toward assumptions made about the role, impact, and importance of information per se given that it is often only one factor among many that influence health attitudes, perceptions, actions, and outcomes. More broadly, the chapter indicates that as ICT-supported patient-focused interventions become more common, there is a need to consider how assessments of benefit in terms of a cohort of patients inform us about an in idual patient’s experience and what this implies for terms like in idualized care or patient empowerment (Muir Gray, 2004). At this level, there are implications for clinical practice and one-size-fits-all care-delivery practices. This collaborative project involves a multidisciplinary team of researchers from the University of Tasmania’s School of Medicine, School of Nursing and Midwifery, and School of Information Systems. The project is supported by the Tasmanian Department of Health and Human Services and funded by the Commonwealth Department of Health and Ageing, and is due for completion in June 2008.
Publisher: Springer International Publishing
Date: 2019
Publisher: MDPI AG
Date: 20-01-2022
DOI: 10.3390/F13020153
Abstract: Unoccupied Aircraft Systems (UAS) are beginning to replace conventional forest plot mensuration through their use as low-cost and powerful remote sensing tools for monitoring growth, estimating biomass, evaluating carbon stocks and detecting weeds however, physical s les remain mostly collected through time-consuming, expensive and potentially dangerous conventional techniques. Such conventional techniques include the use of arborists to climb the trees to retrieve s les, shooting branches with firearms from the ground, canopy cranes or the use of pole-mounted saws to access lower branches. UAS hold much potential to improve the safety, efficiency, and reduce the cost of acquiring canopy s les. In this work, we describe and demonstrate four iterations of 3D printed canopy s ling UAS. This work includes detailed explanations of designs and how each iteration informed the design decisions in the subsequent iteration. The fourth iteration of the aircraft was tested for the collection of 30 canopy s les from three tree species: eucalyptus pulchella, eucalyptus globulus and acacia dealbata trees. The collection times ranged from 1 min and 23 s, up to 3 min and 41 s for more distant and challenging to capture s les. A vision for the next iteration of this design is also provided. Future work may explore the integration of advanced remote sensing techniques with UAS-based canopy s ling to progress towards a fully-automated and holistic forest information capture system.
Publisher: Informa UK Limited
Date: 09-04-2017
DOI: 10.1080/09593330.2017.1310303
Abstract: This paper presents an approach to the design of environmental sensor networks (ESN) which aims at providing a robust, fit-for-purpose network with minimum redundancy. A set of near optimum ESN designs is sought using an evolutionary algorithm, which incorporates redundancy and robustness as fitness functions. This work can assist the decision-making process when determining the number of sensor nodes and how the nodes are going to be deployed in the region of interest.
Publisher: MDPI AG
Date: 09-11-2018
DOI: 10.3390/INFORMATICS5040041
Abstract: Background: The WHO framework on integrated people-centred health services promotes a focus on the needs of people and their communities to empower them to have a more active role in their own health. It has advocated five strategies including: Engaging and empowering people and communities co-ordinating services within and across sectors and, creating an enabling environment. Any implementation of these strategies needs to occur at in idual, community, and health service levels. Useful steps to reorganising health service provision are already being guided by existing models of care linked to increased adoption and use of digital technologies with ex les including: Wagner’s Chronic Care Model (CCM) Valentijn’s Rainbow Model of Integrated Care (RMIC) and Phanareth’s et al.’s Epital Care Model (ECM). However, what about in iduals and the communities they live in? How will strategies be implemented to address known inequities in: the social determinants of health access to, and use of digital technologies, and in idual textual, technical, and health literacies? Proposal of a matrix framework: This paper argues that people with complex and chronic conditions (PwCCC) living in communities that are at risk of being under-served or marginalised in health service provision require particular attention. It articulates a step-by-step process to identify these in iduals and co-produce mechanisms to engage, empower and ultimately emancipate these in iduals to become activated in living with their conditions and in their interactions with the health system and community. This step-by-step process focuses on key issues related to the design and role of digital services in mitigating the effects of the health service inequity and avoiding the creation of an e-health ide amongst users when advocating digital behaviour change initiatives. This paper presents a matrix framework providing a scaffold across three inter-related levels of the in idual the provider, and the health and care system. The matrix framework supports examination of and reflection on the design and role of digital technologies in conjunction with pre-existing motivational instruments. This matrix framework is illustrated with ex les from practice. Conclusion: It is anticipated that the matrix framework will evolve and can be used to map and reflect on approaches and practices aiming to enrich and stimulate co-production activities supported by digital technology focused on enhancing people-centred health services for the marginalised.
Publisher: IGI Global
Date: 2000
DOI: 10.4018/978-1-93177-743-8.CH002
Abstract: This chapter is ided to two parts. Part one identifies common security and privacy weaknesses that exist in e-mail and WWW browsers and highlights some of the major implications for organisational security that result from employees’ online behaviours. This section aims to raise awareness of these weaknesses amongst users and to encourage administrators to mitigate their consequences through enhanced security and privacy-focused user education and training. Part two makes recommendations for improved user education as a component of information systems security management practices. These recommendations have been generated from a forensic computing perspective that aims to balance the complex set of issues involved in developing effective IS security management policies and practices. From this perspective these policies and practices should improve security of organisation and the privacy of employees without compromising the potential need for future forensic investigation of inappropriate, criminal, or other illegal online behaviours.
Publisher: Research Institute for Intelligent Computer Systems
Date: 08-2014
DOI: 10.47839/IJC.4.2.333
Abstract: The growing incidence of e-crime and computer misuse has increased demand for effective defensive and offensive solutions. Most responses have tended to focus on discrete sets of technical, organisational or legal challenges, but there is increasing recognition of the need for more integrated solutions that balance security, in idual privacy and the generation of legally admissible digital evidence. More importantly, there is also proof to indicate that these fragmented approaches are impairing their own effectiveness due to the inter-relatedness of challenges faced. This research paper adopts an e-forensic approach to examine the links between technical, organisational and legal responses to the challenges posed by illegal or inappropriate on-line behaviour. The paper acknowledges some of the numerous challenges that remain unresolved in each approach and argues that future developments must be focused on integrated and balanced solutions that are calibrated to address the dynamic and multi-faceted nature of the forensic computing domain.
Publisher: MDPI AG
Date: 08-12-2021
Abstract: Background: Forestry products and forestry organizations play an essential role in our lives and significantly contribute to the global economy. They are also being impacted by the rapid development of advanced technologies and Industry 4.0. More specifically, several technologies associated with Industry 4.0 have been identified for their potential to optimize traditional forest supply chains. However, to date, there has been limited research that has systematically investigated these technologies and the scientific evidence on their impact on forest supply chains. This research systematically reviews the state-of-the-art technologies applied in the forest supply chain and reports on the current (and/or potential) impacts of technologies on the transformation of the forest supply chain towards ‘Forest Industry 4.0′. Methods: The systematic literature review methodology identified 45 peer-reviewed studies for inclusion that are analyzed, interpreted and discussed in this paper. Results: This study developed a framework on the forest supply chain in Industry 4.0. This framework has three components related to forest supply chains: current supportive technologies, improvements and characteristics of the forest supply chain in Industry 4.0, and the strategic outcomes in economic, environmental and social dimensions. The reported impacts of technologies in different phases of the forest supply chain are interpreted and discussed. Conclusion: The study results confirm that most technologies in Industry 4.0 have real or perceived positive impacts on the forest supply chain and reported obstacles and challenges are identified. The results of this study also contribute insights on the wide range of options in terms of technologies available to decision-makers to optimize the forest supply chain towards ‘Forest Industry 4.0′.
Publisher: Informa UK Limited
Date: 13-05-2019
Publisher: Ovid Technologies (Wolters Kluwer Health)
Date: 11-2012
Publisher: SAGE Publications
Date: 07-04-2011
Abstract: With growing emphasis on the importance of scientific evidence through clinical trials, qualitative studies have been used to deepen our understanding of research from participants’ perspectives. For people with a chronic illness, research participation could represent an additional impost on lives already overwhelmed with medical and care issues, and little is known about participants’ motivations when the research requires them to think differently about their illness and participate over an extended period. We interviewed participants with chronic obstructive pulmonary disease participating in a trial of a chronic disease self-management (CDSM) program. Our finding that people participate in research for altruistic reasons has similarities with other studies. We then extend our understanding of why people participate to explore how they participate. We argue that motivation based on dominant voluntaristic or altruistic values can be problematic for researchers attempting to demonstrate the benefits of CDSM strategies.
Publisher: Springer Science and Business Media LLC
Date: 25-04-2007
Publisher: IEEE
Date: 08-2008
Publisher: Springer Science and Business Media LLC
Date: 13-05-2010
Publisher: MDPI AG
Date: 07-04-2021
DOI: 10.3390/RS13081413
Abstract: Forest inventories play an important role in enabling informed decisions to be made for the management and conservation of forest resources however, the process of collecting inventory information is laborious. Despite advancements in mapping technologies allowing forests to be digitized in finer granularity than ever before, it is still common for forest measurements to be collected using simple tools such as calipers, measuring tapes, and hypsometers. Dense understory vegetation and complex forest structures can present substantial challenges to point cloud processing tools, often leading to erroneous measurements, and making them of less utility in complex forests. To address this challenge, this research demonstrates an effective deep learning approach for semantically segmenting high-resolution forest point clouds from multiple different sensing systems in erse forest conditions. Seven erse point cloud datasets were manually segmented to train and evaluate this model, resulting in per-class segmentation accuracies of Terrain: 95.92%, Vegetation: 96.02%, Coarse Woody Debris: 54.98%, and Stem: 96.09%. By exploiting the segmented point cloud, we also present a method of extracting a Digital Terrain Model (DTM) from such segmented point clouds. This approach was applied to a set of six point clouds that were made publicly available as part of a benchmarking study to evaluate the DTM performance. The mean DTM error was 0.04 m relative to the reference with 99.9% completeness. These approaches serve as useful steps toward a fully automated and reliable measurement extraction tool, agnostic to the sensing technology used or the complexity of the forest, provided that the point cloud has sufficient coverage and accuracy. Ongoing work will see these models incorporated into a fully automated forest measurement tool for the extraction of structural metrics for applications in forestry, conservation, and research.
Publisher: Hindawi Limited
Date: 03-2009
DOI: 10.1111/J.1365-2524.2008.00808.X
Abstract: The rising prevalence of dementia and concomitant demands upon dementia services are global issues. In Australia, dementia has attained national health priority status and governments at all levels have implemented service strategies to help manage the complex lives of people with dementia. Despite recognition that information is pivotal to effective dementia service delivery, little is known about the information needs of in idual providers and the processes used to transfer information between providers. This qualitative study scoped information issues for key service providers for people with dementia living in the community in southern Tasmania, Australia, including information needs, availability, and transfer. Eleven focus groups were held with general practitioners, residential aged care facility staff, home carers, community health nurses, and aged care-assessment team members. Findings revealed that provider groups shared common, albeit unbeknown to them, information needs (e.g. diagnosis, behaviours, and services) and information concerns (e.g. untrustworthy information and poor information transfer) leading to poor service coordination. General practitioners emerged as a stand-out group with markedly fewer needs and concerns than other providers, a finding of special interest given their pivotal role in dementia diagnosis and referral. Participants were adamant in their view that electronic data bases and single points of entry to dementia services would improve service provision and should be developed. The research highlights complexities and associated frustrations of information transferability, accessibility, and trustworthiness for dementia service providers in the community. Increased understanding of providers' erse yet interdependent roles could, we believe, play an important part in breaking the cycle of frustration experienced by all participants and thus contribute to system reform.
Publisher: Wiley
Date: 2004
DOI: 10.1002/KPM.190
Publisher: Informa UK Limited
Date: 20-02-2019
Publisher: Elsevier BV
Date: 11-2021
Publisher: Informa UK Limited
Date: 19-08-2013
DOI: 10.3109/17538157.2013.812646
Abstract: People with cystic fibrosis (CF) frequently experience isolation and are subjected to extensive complex treatment regimens which could be complemented by remote support. In the current research this is particularly relevant as the location, Tasmania, has the second highest incidence of CF in the world. This paper provides an overview of the evaluation of a pilot trial of an information system conceptualised and developed to assist people with CF, and their families, to enhance their skills and communication in relation to self-management for their condition. The pilot involved people with CF ranging in age from 19 months to 52 years and their families. The primary outcome was the perceived usability of the online-symptom diary from the user's perspective. To assess perceived usability qualitative semi-structured interviews were conducted pre- and post-pilot and analysed using thematic coding. Participants initially and primarily perceived myCF as a system that would help others and enable peer support. Connectivity and involvement were highlighted as complex issues that needed consideration. There was an overall encouraging response to the pilot and indications that the use of information communication technology to complement health care delivery and facilitate self-care skills may be particularly suited to the Australian context where geographical distances and isolation provide a relative barrier to specialist care for chronic complex conditions.
Publisher: SPIE
Date: 04-2019
DOI: 10.1117/12.2514270
Publisher: MDPI AG
Date: 07-12-2020
DOI: 10.3390/LIFE10120329
Abstract: Health care systems struggle to consistently deliver integrated high-quality, safe, and patient-centered care to all in an economically sustainable manner. Inequity of access to health care services and variation in diagnostic and treatment outcomes are common. Further, as health care systems become ever more complex, iatrogenesis and counter productivity have emerged as real dangers. In exploring this paradox, this paper considers a subset of those in society living with chronic conditions. Their attributes and circumstances have led to them being marginalized or excluded from ‘end-user’ engagement and/or from their requirements being incorporated into technology supported chronic disease management initiatives. Significantly, these citizens are often the most vulnerable and socially disadvantaged and tend to achieve poorer results and cost more per capita than the ‘average patient’ in their interactions with the health care system. Critically, this paper argues that a truly people-centered technology supported chronic care system can only be designed by understanding and responding to the needs, attributes and capabilities of the most vulnerable in society. This paper suggests innovative ways of supporting interactions with these ‘end-users’ and highlights how reflection on these approaches can contribute to emancipating the health system to move towards more socially inclusive eHealth solutions.
Publisher: Springer Science and Business Media LLC
Date: 09-02-2018
DOI: 10.1007/S10661-018-6510-0
Abstract: This paper proposes a method to design the deployment of sensor nodes in a new region where historical data is not available. A number of mobile platforms are simulated to build initial knowledge of the region. Further, an evolutionary algorithm is employed to find the optimum placement of a given number of sensor nodes that best represents the region of interest.
Publisher: Elsevier BV
Date: 12-2006
Publisher: SAGE Publications
Date: 02-2009
Abstract: This research described family carers' experiences in accessing dementia information and services in Southern Tasmania, Australia. Focus groups were conducted around three topics: (i) information available to family carers prior to a formal diagnosis of dementia, (ii) sources of information following diagnosis, and (iii) means of transfer of information. Data analysis identified themes reflecting participants' progressive care experiences: from hurtful and dismissive attitudes towards initial requests for information and early diagnosis, to futile searching for information within a seemingly disorganized healthcare system, to eventual resolution of a kind whereby dementia services were finally procured for family members to varying degrees — all of which created emotional turmoil and delayed receipt of services. This study strongly emphasises the value of health professionals seriously and empathically hearing and acting upon family carers' requests for information and prompt diagnosis of dementia. In addition, there is a significant need to improve access and organization of information and services for people with dementia and their family carers.
Publisher: Elsevier BV
Date: 2005
Publisher: Springer International Publishing
Date: 2018
Publisher: Pluto Journals
Date: 2003
DOI: 10.1080/0810902032000051036
Abstract: Knowledge management (KM) approaches have developed traditionally from the knowledge-based view (KBV), a derivative of the resource-based view (RBV). Drawing on the relational and industry structure views, this paper presents a framework for analysing knowledge management practices in the biotechnology industry. These firms exhibit sophisticated and strategic KM practices and deploy a range of strategies in leveraging competitive advantage through their intellectual property practices. The paper demonstrates that the current KBV needs to be modified and extended to reflect current KM practice within Australian biotechnology firms through examining their use and management of intellectual property.
Publisher: IGI Global
Date: 2009
DOI: 10.4018/978-1-60566-016-5.CH013
Abstract: This chapter explores how in developing patient-centred e-health systems it is possible to accommodate heterogeneous characteristics of end-users and their erse health and care contexts. It concurs with conventional sociotechnical design paradigms that argue systems must be easy to use, fulfill a perceived need, and present a clear value proposition to ensure successful adoption and utilisation by patients. The chapter also highlights the need for awareness of a number of key challenges relating to emerging discourses on ‘empowering patients’ and ‘e-health’. The implications of these challenges for the development of a truly patient-centred e-health approach are explored in a detailed case study. This chapter contributes to research focused on supporting patients to become genuine co-participants in their own care, health and well-being. However, it also acknowledges that part of the challenge of achieving this goal requires a focus on assisting clinicians to learn to respond to this shift in the autonomy of decision- making
Publisher: Informa UK Limited
Date: 07-2004
Publisher: Elsevier BV
Date: 04-2020
Publisher: Elsevier BV
Date: 12-2020
Publisher: BMJ
Date: 09-2013
Publisher: American Society for Microbiology
Date: 06-2015
DOI: 10.1128/AAC.05014-14
Abstract: The pharmacokinetics of sublingual artemether (ArTiMist) was investigated in 91 young African children with severe malaria or who could not tolerate oral antimalarial therapy. Each received 3.0 mg/kg of body weight of artemether at 0, 8, 24, 36, 48, and 60 h or until the initiation of oral treatment. Few blood s les were drawn postdose. Plasma artemether and dihydroartemisinin (DHA) levels were measured using liquid chromatography-mass spectrometry, and the data were analyzed using established population compartmental pharmacokinetic models. Parasite clearance was prompt (median parasite clearance time, 24 h), and there were no serious adverse events. Consistent with studies in healthy adults (S. Salman, D. Bendel, T. C. Lee, D. Templeton, and T. M. E. Davis, Antimicrob Agents Chemother 59:3197–3207, 2015, 0.1128/AAC.05013-14 ), the absorption of sublingual artemether was biphasic, and multiple dosing was associated with the autoinduction of the metabolism of artemether to DHA (which itself has potent antimalarial activity). In contrast to studies using healthy volunteers, pharmacokinetic modeling indicated that the first absorption phase did not avoid first-pass metabolism, suggesting that the drug is transferred to the upper intestine through postdose fluid/food intake. Simulations using the present data and those from an earlier study in older Melanesian children with uncomplicated malaria treated with artemether-lumefantrine tablets suggested that the bioavailability of sublingual artemether was at least equivalent to that after conventional oral artemether-lumefantrine (median [interquartile range] areas under the concentration-time curve for artemether, 3,403 [2,471 to 4,771] versus 3,063 [2,358 to 4,514] μg · h/liter, respectively and for DHA, 2,958 [2,146 to 4,278] versus 2,839 [1,812 to 3,488] μg · h/liter, respectively P ≥ 0.42). These findings suggest that sublingual artemether could be used as prereferral treatment for sick children before transfer for definitive management of severe or moderately severe malaria.
Publisher: Springer Science and Business Media LLC
Date: 30-06-2006
Publisher: Wiley
Date: 06-03-2012
Publisher: MDPI AG
Date: 09-04-2021
DOI: 10.3390/F12040455
Abstract: Australia’s large potential forest bioenergy resource is considerably underutilised, due largely to its high delivered costs. Drying forest biomass at the roadside can potentially reduce its delivered cost through weight reduction and increased net calorific value. There has been little research on the impact of roadside drying for Australian conditions and plantation species. This study compared delivered costs for three forest biomass types—Eucalyptus globulus plantation whole trees and logging residue (LR)-disaggregated (LR conventional) or aggregated (LR fuel-adapted)—and three roadside storage scenarios—no storage, ≤two-month storage and optimal storage—to supply a hypothetical thermal power plant in south-west Western Australia. The study was performed using a tactical linear programming tool (MCPlan). Roadside storage reduced delivered costs, with optimal storage (storage for up to 14 months) producing the lowest costs. Delivered costs were inversely related to forest biomass spatial density due to transport cost reductions. Whole trees, which had the highest spatial density, stored under the optimal storage scenario had the lowest delivered costs (AUD 7.89/MWh) while LR conventional, with the lowest spatial density, had the highest delivered costs when delivered without storage (AUD 15.51/MWh). For both LR types, two-month storage achieved ~60% of the savings from the optimal storage scenario but only 23% of the savings for whole trees. The findings suggested that roadside drying and high forest biomass spatial density are critical to reducing forest biomass delivered costs.
Publisher: IGI Global
Date: 2006
DOI: 10.4018/978-1-59904-186-5.CH009
Abstract: Regional Australia continues to be the recipient of public programs premised on assumptions about the benefits of Information and Communications Technologies (ICTs) related development, at the same time as it is experiencing a reduction in basic services and problems associated with the digital ide. From a research perspective, these circumstances pose challenges on how to evaluate meaningfully the impacts of ICTs on regional development. These challenges are compounded by the considerable confusion that exists over what is meant by regional development, how it can be achieved, and how to measure and evaluate the role ICTs play in reviving and sustaining regional communities. The exploratory research reported in this chapter examines the issues surrounding what is meant by ICT-related development in a regional context. It also explores the usefulness of multiple measures, as opposed to single measures, to describe what in reality is a very complex process. In this context, the chapter outlines the preliminary development of, and the rationale behind, a holistic approach for evaluating the role of ICTs in regional development, based on insights generated from ongoing research in Tasmania. The role of ICT … in economic growth and social change has received considerable attention in recent years [but] … reliable and comprehensive indicators are needed to track developments in new information technologies and understand their impacts on our economies and societies. (OECD, 2002, p. 3)
Publisher: Springer Science and Business Media LLC
Date: 13-06-2012
Publisher: JMIR Publications Inc.
Date: 20-05-2015
Publisher: IEEE
Date: 04-2013
Publisher: MDPI AG
Date: 18-01-2022
DOI: 10.3390/F13020138
Abstract: Forest biomass (FB) could supply more of Australia’s energy needs, but delivered costs must be reduced for it to be a viable energy source. Operational planning is critical to reducing delivered costs as it determines actual activities, though few operational FB supply chain (FBSC) planning tools have been published. This paper presents a “proof-of-concept” operational FBSC decision support system (DSS) to schedule FB deliveries for eight weeks from roadside storage for the least cost, taking in account moisture content changes. Four mathematical models are compared, solving a linear formulation of the FB delivery problem in terms of solution speed and delivered cost, and the practicality of implementing the solutions. The best performing model was a Greedy algorithm as it produced solutions not significantly different from those of the tested linear programming solver and was readily modified to significantly improve solution implementation through the addition of a non-linear element. FBSC planning tools typically assume accurate knowledge of stored FB quantities and that little or no rainfall occurs during storage. In practice, stored FB quantity estimates can be inaccurate due to variation in the bulk density of the piles. Improving these estimates is a critical area for future research. This study found that simulated rainfall with mm during the first week of the scheduled period did not significantly effect delivered costs.
Publisher: MDPI AG
Date: 25-03-2022
DOI: 10.3390/APP12073341
Abstract: Advances in artificial intelligence in healthcare are frequently promoted as ‘solutions’ to improve the accuracy, safety, and quality of clinical decisions, treatments, and care. Despite some diagnostic success, however, AI systems rely on forms of reductive reasoning and computational determinism that embed problematic assumptions about clinical decision-making and clinical practice. Clinician autonomy, experience, and judgement are reduced to inputs and outputs framed as binary or multi-class classification problems benchmarked against a clinician’s capacity to identify or predict disease states. This paper examines this reductive reasoning in AI systems for colorectal cancer (CRC) to highlight their limitations and risks: (1) in AI systems themselves due to inherent biases in (a) retrospective training datasets and (b) embedded assumptions in underlying AI architectures and algorithms (2) in the problematic and limited evaluations being conducted on AI systems prior to system integration in clinical practice and (3) in marginalising socio-technical factors in the context-dependent interactions between clinicians, their patients, and the broader health system. The paper argues that to optimise benefits from AI systems and to avoid negative unintended consequences for clinical decision-making and patient care, there is a need for more nuanced and balanced approaches to AI system deployment and evaluation in CRC.
Publisher: Juniper Publishers
Date: 23-05-2019
Publisher: Elsevier BV
Date: 07-2020
Publisher: Springer Science and Business Media LLC
Date: 17-06-2011
Publisher: SPIE
Date: 10-10-2018
DOI: 10.1117/12.2325480
Publisher: University of Illinois Libraries
Date: 30-12-2018
Abstract: Objectives: Diffusion of smartphones has normalised consumers’ use of mobile applications (apps). But how do app designs and contexts of use interact with differential consumer attributes to impact on their effectiveness, usability and value over time? For consumer food safety, answering these questions is of importance as numerous food choices increase challenges in safe food management (SFM). This research reports on results of a randomised field experiment with Australian consumers using an SFM mobile app developed by the researchers.Method: The SFM app development employed insights from the Health Literacy Online Heuristics framework and the experiment involved evaluation of information and/or knowledge acquisition from the app versus from a paper-based version. The experiment spanned four weeks and involved eight participants (experimental group n=4 control group n=4).Results: The results highlight differentials in cognitive burden between paper and the app beneficial affordances from the app for refreshing consumer knowledge and longer knowledge retention on safe food management from app use over-time.Discussion: We identified two key impacts of the app on consumer knowledge acquisition and knowledge retention. First, the SFM app takes longer to achieve knowledge acquisition but results in longer knowledge retention than the control. Second, the SFM app induces some level of cognitive load in adoption however the affordance of its reuse for quick but infrequent revisitations facilitates knowledge retention. Although the study is limited by the small s le size, it however highlights the need for a large scale and purely quantitative investigation that are generalisable to the Australian population.Conclusion: It is anticipated that the insights gained from this study can be used to develop nationwide interventions for addressing consumer SFM knowledge gaps in the home thus, moving a step closer towards addressing SFM behaviours of Australian consumers.
Publisher: Institution of Engineering and Technology (IET)
Date: 12-02-2019
Publisher: Springer Science and Business Media LLC
Date: 07-08-2017
Publisher: Wiley
Date: 12-2021
DOI: 10.1111/EMR.12505
Abstract: The benefits of using remote sensing technologies for informing and monitoring ecological restoration of forests from the community to the in idual are presented. At the community level, we link remotely sensed measures of structural complexity with animal behaviour. At the plot level, we monitor the return of vegetation structure and ecosystem services (e.g. carbon sequestration) using data‐rich three‐dimensional point clouds. At the in idual‐level, we use high‐resolution images to accurately classify plants to species and provenance and show genetic‐based variation in canopy structural traits. To facilitate the wider use of remote sensing in restoration, we discuss the challenges that remain to be resolved.
Publisher: MDPI AG
Date: 27-11-2015
DOI: 10.3390/S151229765
Publisher: IEEE
Date: 2008
Publisher: ISEKI Food Association
Date: 18-04-2016
Publisher: SAGE Publications
Date: 10-2011
DOI: 10.1177/183335831104000301
Abstract: This paper investigates the coding of dementia in the episode of care in a pilot study group ( N=48) post hospital discharge and the possible implications of under-coding. The assigned ICD-10-AM codes and Diagnosis Related Groups were reviewed. Results demonstrate under-coding of dementia and of cognitive deficits poor correlation between admission diagnoses and dementia codes on separation and changes in in idual patients' cognitive status across forms and assessments in the same admission. The complexities of accurately coding dementias will impact upon planning for future treatments and service provision and will have a flow-on effect for patients, hospitals, and patient care in Australia.
Publisher: Bentham Science Publishers Ltd.
Date: 15-09-2010
DOI: 10.2174/1874431101004010188
Abstract: Building an evidence base for healthcare interventions has long been advocated as both professionally and ethically desirable. By supporting meaningful comparison amongst different approaches, a good evidence base has been viewed as an important element in optimising clinical decision-making and the safety and quality of care. Unsurprisingly, medical research has put considerable effort into supporting the development of this evidence base, and the randomised controlled trial has become the dominant methodology. Recently however, a body of research has begun to question, not just this methodology per se, but also the extent to which the evidence it produces may marginalise in idual patient experiences, priorities and perceptions. Simultaneously, the widespread adoption and utilisation of information systems (IS) in health care has also prompted initiatives to develop a stronger base of evidence about their impacts. These calls have been stimulated both by numerous system failures and research expressing concerns about the limitations of information systems methodologies in health care environments. Alongside the potential of information systems to produce positive, negative and unintended consequences, many measures of success, impact or benefit appear to have little to do with improvements in care, health outcomes or in idual patient experiences. Combined these methodological concerns suggest the need for more detailed examination. This is particularly the case, given the prevalence within contemporary clinical and IS discourses on health interventions advocating the need to put the ‘patient at the centre’ by engaging them in their own care and/or ‘empowering’ them through the use of information systems. This paper aims to contribute to these on-going debates by focusing on the socio-technical processes by which patients’ interests and outcomes are measured, defined and evaluated within health interventions that involve them using web-based information systems. The paper outlines an integrated approach that aims to generate evidence about the impact of these types of health interventions that are meaningful at both in idual patient and patient cohort levels.
Publisher: Wiley
Date: 11-2008
Publisher: IEEE
Date: 2008
Publisher: Elsevier BV
Date: 2021
Publisher: IEEE
Date: 2004
Publisher: Springer London
Date: 2007
Publisher: CSIRO Publishing
Date: 2012
DOI: 10.1071/PY10072
Abstract: The growing burden of chronic disease will increase the role of primary care in supporting self-management and health behaviour change. This role could be undertaken to some extent by the increased practice nurse workforce that has occurred over recent years. Mixed methods were used to investigate the potential for general practice nurses to adopt this role during a 12-month randomised controlled study of telephone-delivered health mentoring in Tasmanian practices. Nurses (general practice and community health) were trained as health mentors to assist chronic obstructive pulmonary disease patients to identify and achieve personal health related goals through action plans. Of 21% of invited practices that responded, 19 were allocated to health mentoring however, general practice nurses were unable to train as health mentors in 14 (74%), principally due to lack of financial compensation and/or workload pressure. For five general practice nurses trained as health mentors, their roles had previously included some chronic disease management, but training enhanced their understanding and skills of self-management approaches and increased the focus on patient partnership, prioritising patients’ choices and achievability. Difficulties that led to early withdrawal of health mentors were competing demands, insufficient time availability, phone calls having lower priority than face-to-face interactions and changing employment. Skills gained were rated as valuable, applicable to all clinical practice and transferable to other health care settings. Although these results suggest that training can enhance general practice nurses’ skills to deliver self-management support in chronic disease, there are significant system barriers that need to be addressed through funding models and organisational change.
Publisher: Elsevier BV
Date: 04-2021
Publisher: Springer Science and Business Media LLC
Date: 30-09-2012
Publisher: MDPI AG
Date: 29-10-2021
DOI: 10.3390/F12111495
Abstract: The feasibility of reliably generating bioenergy from forest biomass waste is intimately linked to supply chain and production processing costs. These costs are, at least in part, directly related to assumptions about the reliability and cost-efficiency of the machinery used along the forestry bioenergy supply chain. Although mechanization in forestry operations has advanced in the last 20 years, it is evident that challenges remain in relation to production capability, standardization of wood quality, and supply guarantee from forestry resources because of the age and reliability of the machinery. An important component in sustainable bioenergy from biomass supply chains will be confidence in consistent production costs linked to guarantees about harvest and haulage machinery reliability. In this context, this paper examines the issue of machinery maintenance and advances in machine learning and big data analysis that are contributing to improved intelligent prediction that is aiding supply chain reliability in bioenergy from woody biomass. The concept of “Industry 4.0” refers to the integration of numerous technologies and business processes that are transforming many aspects of conventional industries. In the realm of machinery maintenance, the dramatic increase in the capacity to dynamically collect, collate, and analyze data inputs including maintenance archive data, sensor-based monitoring, and external environmental and contextual variables. Big data analytics offers the potential to enhance the identification and prediction of maintenance (PdM) requirements. Given that estimates of costs associated with machinery maintenance vary between 20% and 60% of the overall costs, the need to find ways to better mitigate these costs is important. While PdM has been shown to help, it is noticeable that to-date there has been limited assessment of the impacts of external factors such as weather condition, operator experiences and/or operator fatigue on maintenance costs, and in turn the accuracy of maintenance predictions. While some researchers argue these data are captured by sensors on machinery components, this remains to be proven and efforts to enhance weighted calibrations for these external factors may further contribute to improving the prediction accuracy of remaining useful life (RUL) of machinery. This paper reviews and analyzes underlying assumptions embedded in different types of data used in maintenance regimes and assesses their quality and their current utility for predictive maintenance in forestry. The paper also describes an approach to building ‘intelligent’ predictive maintenance for forestry by incorporating external variables data into the computational maintenance model. Based on these insights, the paper presents a model for an intelligent predictive maintenance system (IPdM) for forestry and a method for its implementation and evaluation in the field.
Publisher: SPIE
Date: 27-03-2018
DOI: 10.1117/12.2297327
Publisher: MDPI AG
Date: 21-05-2020
DOI: 10.3390/RS12101652
Abstract: The application of Unmanned Aircraft Systems (UAS) beneath the forest canopy provides a potentially valuable alternative to ground-based measurement techniques in areas of dense canopy cover and undergrowth. This research presents results from a study of a consumer-grade UAS flown under the forest canopy in challenging forest and terrain conditions. This UAS was deployed to assess under-canopy UAS photogrammetry as an alternative to field measurements for obtaining stem diameters as well as ultra-high-resolution (~400,000 points/m2) 3D models of forest study sites. There were 378 tape-based diameter measurements collected from 99 stems in a native, unmanaged eucalyptus pulchella forest with mixed understory conditions and steep terrain. These measurements were used as a baseline to evaluate the accuracy of diameter measurements from under-canopy UAS-based photogrammetric point clouds. The diameter measurement accuracy was evaluated without the influence of a digital terrain model using an innovative tape-based method. A practical and detailed methodology is presented for the creation of these point clouds. Lastly, a metric called the Circumferential Completeness Index (CCI) was defined to address the absence of a clearly defined measure of point coverage when measuring stem diameters from forest point clouds. The measurement of the mean CCI is suggested for use in future studies to enable a consistent comparison of the coverage of forest point clouds using different sensors, point densities, trajectories, and methodologies. It was found that root-mean-squared-errors of diameter measurements were 0.011 m in Site 1 and 0.021 m in the more challenging Site 2. The point clouds in this study had a mean validated CCI of 0.78 for Site 1 and 0.7 for Site 2, with a mean unvalidated CCI of 0.86 for Site 1 and 0.89 for Site 2. The results in this study demonstrate that under-canopy UAS photogrammetry shows promise in becoming a practical alternative to traditional field measurements, however, these results are currently reliant upon the operator’s knowledge of photogrammetry and his/her ability to fly manually in object-rich environments. Future work should pursue solutions to autonomous operation, more complete point clouds, and a method for providing scale to point clouds when global navigation satellite systems are unavailable.
Publisher: Georg Thieme Verlag KG
Date: 2017
DOI: 10.15265/IY-2017-014
Abstract: Objective: To review the developments in human factors (HF) research on the challenges of health information technology (HIT) implementation and impact given the continuing incidence of usability problems and unintended consequences from HIT development and use. Methods: A search of PubMed/Medline and Web of Science® identified HF research published in 2015 and 2016. Electronic health records (EHRs) and patient-centred HIT emerged as significant foci of recent HF research. The authors selected prominent papers highlighting ongoing HF and usability challenges in these areas. This selective rather than systematic review of recent HF research highlights these key challenges and reflects on their implications on the future impact of HF research on HIT. Results: Research provides evidence of continued poor design, implementation, and usability of HIT, as well as technology-induced errors and unintended consequences. The paper highlights support for: (i) strengthening the evidence base on the benefits of HF approaches (ii) improving knowledge translation in the implementation of HF approaches during HIT design, implementation, and evaluation (iii) increasing transparency, governance, and enforcement of HF best practices at all stages of the HIT system development life cycle. Discussion and Conclusion: HF and usability approaches are yet to become embedded as integral components of HIT development, implementation, and impact assessment. As HIT becomes ever-more pervasive including with patients as end-users, there is a need to expand our conceptualisation of the problems to be addressed and the suite of tactics and strategies to be used to calibrate our pro-active involvement in its improvement.
Publisher: IGI Global
Date: 2010
DOI: 10.4018/978-1-61520-981-1.CH023
Abstract: Integrating environmental considerations into supply-chain management has become an increasingly important issue for industry, government and academic researchers. Supply chain managers are being required to respond to the challenges of new legislation, standards and regulations changing customer demands drivers for efficiency, cost effectiveness and return on investment while simultaneously being ‘green’. The fundamental tension between business and environmental drivers is difficult, but critical to understanding how to effectively re-engineer and re-design existing supply chains in a manner that is sustainable both financially and environmentally. Information systems have a significant role to play in supporting corporate responses to environmental management and the development of holistic green logistic solutions. This chapter examines contemporary discussions on the current state of sustainable supply-chain management and green logistics. It presents a case study from the Fujitsu Corporation in Japan and explores models of information systems and RFID use in green logistics. Combining insights from the case and existing models the chapter explores an ex le of how a combined model can be used to explore the potential of a specific emerging technology (RFIDs) in ‘greening’ supply chains.
Publisher: Wiley
Date: 12-2008
DOI: 10.1111/J.1741-6612.2008.00316.X
Abstract: To reveal views about dementia diagnosis derived from a larger study of information needs of carers of people with dementia in Tasmania, Australia. Over 100 participants, including family carers, health professionals and dementia service personnel, met as discrete focus groups. Data pertinent to dementia diagnosis were segregated and subjected to across-group comparative analysis. The term dementia held connotations of stigma and futility, despite stated benefits of having a diagnosis. General practitioners were regarded as pivotal but having inadequate diagnostic and treatment options. While most health professionals advocated a longitudinal diagnostic process, this created considerable stress for family carers who sought a speedy process. Without a diagnosis, some dementia-specific services were undeliverable. Dementia diagnosis is steeped in deep-rooted difficulties and stressful implications, compounded by carers' differing needs and interests. Better understanding between care providers of their conflicting and consistent views could contribute to better dementia care.
Publisher: MDPI AG
Date: 19-11-2021
DOI: 10.3390/RS13224677
Abstract: Forest mensuration remains critical in managing our forests sustainably, however, capturing such measurements remains costly, time-consuming and provides minimal amounts of information such as diameter at breast height (DBH), location, and height. Plot scale remote sensing techniques show great promise in extracting detailed forest measurements rapidly and cheaply, however, they have been held back from large-scale implementation due to the complex and time-consuming workflows required to utilize them. This work is focused on describing and evaluating an approach to create a robust, sensor-agnostic and fully automated forest point cloud measurement tool called the Forest Structural Complexity Tool (FSCT). The performance of FSCT is evaluated using 49 forest plots of terrestrial laser scanned (TLS) point clouds and 7022 destructively s led manual diameter measurements of the stems. FSCT was able to match 5141 of the reference diameter measurements fully automatically with mean, median and root mean squared errors (RMSE) of 0.032 m, 0.02 m, and 0.103 m respectively. A video demonstration is also provided to qualitatively demonstrate the ersity of point cloud datasets that the tool is capable of measuring. FSCT is provided as open source, with the goal of enabling plot scale remote sensing techniques to replace most structural forest mensuration in research and industry. Future work on this project will seek to make incremental improvements to this methodology to further improve the reliability and accuracy of this tool in most high-resolution forest point clouds.
Publisher: IEEE
Date: 12-2018
Publisher: Springer Science and Business Media LLC
Date: 25-11-2010
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
Start Date: 2004
End Date: 2007
Funder: Department of Health and Human Services Tasmania
View Funded ActivityStart Date: 2009
End Date: 2009
Funder: Rebecca L Cooper Medical Research Foundation
View Funded ActivityStart Date: 2008
End Date: 2010
Funder: Tasmanian Community Fund
View Funded ActivityStart Date: 2011
End Date: 2012
Funder: CRC Forestry Ltd
View Funded ActivityStart Date: 2016
End Date: 2020
Funder: Forest & Wood Products Australia Limited
View Funded ActivityStart Date: 2014
End Date: 2015
Funder: Worksafe Tasmania
View Funded ActivityStart Date: 2016
End Date: 2020
Funder: Forestry Tasmania
View Funded ActivityStart Date: 2016
End Date: 2020
Funder: Sustainable Forest Management Pty Ltd
View Funded ActivityStart Date: 2016
End Date: 2020
Funder: Forico Pty Ltd
View Funded ActivityStart Date: 2016
End Date: 2020
Funder: Greening Australia (TAS) Ltd
View Funded ActivityStart Date: 2015
End Date: 2016
Funder: University of Tasmania
View Funded ActivityStart Date: 2015
End Date: 2019
Funder: Australian Research Council
View Funded ActivityStart Date: 2016
End Date: 2016
Funder: University of Tasmania
View Funded ActivityStart Date: 2012
End Date: 2017
Funder: Australian Research Council
View Funded ActivityStart Date: 2016
End Date: 2016
Funder: Norske-Skog (Australasia) Pty Ltd
View Funded ActivityStart Date: 2019
End Date: 2019
Funder: University of Tasmania
View Funded ActivityStart Date: 2011
End Date: 2012
Funder: Small and Medium Business Administration (Korea)
View Funded ActivityStart Date: 2013
End Date: 2016
Funder: WorkCover Tasmania
View Funded ActivityStart Date: 2015
End Date: 2016
Funder: University of Tasmania
View Funded ActivityStart Date: 2015
End Date: 2016
Funder: University of Tasmania
View Funded ActivityStart Date: 2020
End Date: 2022
Funder: Fisheries Research & Development Corporation
View Funded ActivityStart Date: 2010
End Date: 2010
Funder: Department of Health and Ageing
View Funded ActivityStart Date: 11-2015
End Date: 11-2021
Amount: $3,630,239.00
Funder: Australian Research Council
View Funded ActivityStart Date: 07-2014
End Date: 07-2021
Amount: $2,500,000.00
Funder: Australian Research Council
View Funded Activity