918 resultados para Soybean - Development
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This preliminary study is an early attempt to explicitly explore the role of social enterprises in regional development. Focusing on North West Tasmania, an isolated and predominately rural region, this study examines three social enterprises based in the region and the nature of their social and economic impacts.
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Recent studies suggest that meta-evaluation can be valuable in developing new approaches to evaluation, building evaluation capacities, and enhancing organizational learning. These new extensions of the concept of meta-evaluation are significant, given the growing emphasis on improving the quality and effectiveness of evaluation practices in the South Asian region. Following a review of the literature, this paper presents a case study of the use of concurrent meta-evaluation in the four-year project Assessing Communication for Social Change which developed and trialled a participatory impact assessment methodology in collaboration with a development communication Non-government organization (NGO) in Nepal. Key objectives of the meta-evaluation included to: continuously develop, adapt and improve the impact assessment methodology, Monitoring and Evaluation (M&E) systems and process and other project activities; identify impacts of the project; and build capacities in critical reflection and review. Our analysis indicates that this meta-evaluation was essential to understanding various constraints related to the organizational context that affected the success of the project and the development of improved M&E systems and capacities within the NGO. We identified several limitations of our meta-evaluation methods, which were balanced by the strengths of other methods. Our case study suggests that as well as assessing the quality, credibility and value of evaluation practices, meta-evaluations need to focus on important contextual issues that can have significant impacts on the outcomes of participatory evaluation projects. They include hierarchical organizational cultures, communication barriers, power/knowledge relations, and the time and resources available. Meta-evaluations also need to consider wider issues such as the sustainability of evaluation systems and approaches.
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With the emergence of Unmanned Aircraft Systems (UAS) there is a growing need for safety standards and regulatory frameworks to manage the risks associated with their operations. The primary driver for airworthiness regulations (i.e., those governing the design, manufacture, maintenance and operation of UAS) are the risks presented to people in the regions overflown by the aircraft. Models characterising the nature of these risks are needed to inform the development of airworthiness regulations. The output from these models should include measures of the collective, individual and societal risk. A brief review of these measures is provided. Based on the review, it was determined that the model of the operation of an UAS over inhabited areas must be capable of describing the distribution of possible impact locations, given a failure at a particular point in the flight plan. Existing models either do not take the impact distribution into consideration, or propose complex and computationally expensive methods for its calculation. A computationally efficient approach for estimating the boundary (and in turn area) of the impact distribution for fixed wing unmanned aircraft is proposed. A series of geometric templates that approximate the impact distributions are derived using an empirical analysis of the results obtained from a 6-Degree of Freedom (6DoF) simulation. The impact distributions can be aggregated to provide impact footprint distributions for a range of generic phases of flight and missions. The maximum impact footprint areas obtained from the geometric template are shown to have a relative error of typically less than 1% compared to the areas calculated using the computationally more expensive 6DoF simulation. Computation times for the geometric models are on the order of one second or less, using a standard desktop computer. Future work includes characterising the distribution of impact locations within the footprint boundaries.
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Three dimensional geological modelling techniques have been applied since 1996 with an aim to characterise the lithological and chronological units of New Zealand’s many diverse aquifers. Models of property-scattered data have also been applied to assess physical properties of aquifers and the distribution of groundwater chemistry, including groundwater age, to inform an understanding of groundwater systems. These models, fundamental to understanding groundwater recharge, flow and discharge have found many uses as outlined in this paper.
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Articular cartilage is a highly resilient tissue located at the ends of long bones. It has a zonal structure, which has functional significance in load-bearing. Cartilage does not spontaneously heal itself when damaged, and untreated cartilage lesions or age-related wear often lead to osteoarthritis (OA). OA is a degenerative condition that is highly prevalent, age-associated, and significantly affects patient mobility and quality of life. There is no cure for OA, and patients usually resort to replacing the biological joint with an artificial prosthesis. An alternative approach is to dynamically regenerate damaged or diseased cartilage through cartilage tissue engineering, where cells, materials, and stimuli are combined to form new cartilage. However, despite extensive research, major limitations remain that have prevented the wide-spread application of tissue-engineered cartilage. Critically, there is a dearth of information on whether autologous chondrocytes obtained from OA patients can be used to successfully generate cartilage tissues with structural hierarchy typically found in normal articular cartilage. I aim to address these limitations in this thesis by showing that chondrocyte subpopulations isolated from macroscopically normal areas of the cartilage can be used to engineer stratified cartilage tissues and that compressive loading plays an important role in zone-dependent biosynthesis of these chondrocytes. I first demonstrate that chondrocyte subpopulations from the superficial (S) and middle/deep (MD) zones of OA cartilage are responsive to compressive stimulation in vitro, and that the effect of compression on construct quality is zone-dependent. I also show that compressive stimulation can influence pericelluar matrix production, matrix metalloproteinase secretion, and cytokine expression in zonal chondrocytes in an alginate hydrogel model. Subsequently, I focus on recreating the zonal structure by forming layered constructs using the alginate-released chondrocyte (ARC) method either with or without polymeric scaffolds. Resulting zonal ARC constructs had hyaline morphology, and expressed cartilage matrix molecules such as proteoglycans and collagen type II in both scaffold-free and scaffold-based approaches. Overall, my findings demonstrate that chondrocyte subpopulations obtained from OA joints respond sensitively to compressive stimulation, and are able to form cartilaginous constructs with stratified organization similar to native cartilage using the scaffold-free and scaffold-based ARC technique. The ultimate goal in tissue engineering is to help provide improved treatment options for patients suffering from debilitating conditions such as OA. Further investigations in developing functional cartilage replacement tissues using autologous chondrocytes will bring us a step closer to improving the quality of life for millions of OA patients worldwide.
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"The concept of creative industries has developed considerable academic and policy momentum in the 21st century. There has been a connection identified between the rise of creative industries and the urbanisation of the world’s population, particularly in relation to the significance of cities as sites of cultural production and consumption. Much of the work on creative industries and cities, however, has drawn upon 'imagined geographies' about the relationship between creativity and place. This collection draws together contributions that critically appraise recent urban cultural policy discourses, as well as reflecting on the role of culture and creative industries in the future development of cities."---publisher website
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A basic element in advertising strategy is the choice of an appeal. Many researchers have studied communication message form and specifically forms of literalism and symbolism, or some variation. The motives for such study are grounded in increasing the effectiveness of commercial communication messages, especially advertising messages. Advertising research studies typically use forms of literalism (e.g. informativeness) or symbolism (e.g. metaphoric, tropes, schemes figures of speech, and rhetorical figures) as independent variables and compare these against one or more of the traditional advertising effectiveness measures as dependent variable(s). The main challenge in assessing the effectiveness of literalism or symbolism in message content is the discreet identification of the construct. However, no standard, empirically-tested measure was located in the literature.
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This article takes the establishment and demise of Manchester’s Creative Industries Development Service (CIDS) as an exemplary case study for the ways in which creative industry policy has intersected with urban economic policy over the last decade. The authors argue that the creative industries required specific kinds of economic development agencies that would be able to act as “intermediaries” between the distinct languages of policymakers and “creatives.” They discuss the tensions inherent in such an approach and how CIDS attempted to manage them and suggest that the main reason for the demise of the CIDS was the domination of the “economic” over the “cultural” logic, both of which are present within the creative industries policy discourse.
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This paper demonstrates how social marketing insights were used to influence women’s loyalty to breastfeeding. The paper reports on a social marketing campaign undertaken by the Australian Breastfeeding Association and a government health department, which used a product development strategy in order to increase breastfeeding loyalty. Seeking new approaches to support breastfeeding behaviors is critical and timely, because while initiation rates of breastfeeding are high in developed countries such as the UK, Australia, Canada, and the USA, duration rates are significantly lower. Results indicate that a product focused strategy influences pregnant women’s loyalty to exclusively breastfeeding.
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The purpose of this study was to develop a Self-Efficacy Questionnaire for Chinese Family Caregivers. Semi-structured interviews with 10 family caregivers of people with dementia were conducted to explore how Chinese caregivers manage caregiving and what difficulties they face. The findings of the study assisted in the development of the instrument. Five categories of caregiver behaviours were identified from the qualitative data: gathering information about treatment, symptoms, and health care; obtaining support; responding to behaviour disturbances; managing household, personal, and medical care; and managing distress associated with caregiving. The challenges of caregiving were also identified, including deterioration of care recipients, particularly their behaviour disturbances, a shortage of supportive resources, stigmatization of dementia among the general population, as well as increased distress and decreased social activities due to increased care demand. The findings were used to develop the Self-Efficacy Questionnaire for Chinese Family Caregivers, and 35 items comprising five subscales (representing the above five categories of caregiver behaviour) were generated.
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This paper reports on the development and implementation of a self-report risk assessment tool that was developed in an attempt to increase the efficacy of crash prediction within Australian fleet settings. This study forms a part of a broader program of research into work related road safety and identification of driving risk. The first phase of the study involved a series of focus groups being conducted with 217 professional drivers which revealed that the following factors were proposed to influence driving performance: Fatigue, Knowledge of risk, Mood, Impatience and frustration, Speed limits, Experience, Other road users, Passengers, Health, and Culture. The second phase of the study involved piloting the newly developed 38 item Driving Risk Assessment Scale - Work Version (DRAS-WV) with 546 professional drivers. Factor analytic techniques identified a 9 factor solution that was comprised of speeding, aggression, time pressure, distraction, casualness, awareness, maintenance, fatigue and minor damage. Speeding and aggressive driving manoeuvres were identified to be the most frequent aberrant driving behaviours engaged in by the sample. However, a series of logistic regression analyses undertaken to determine the DRAS-WV scale’s ability to predict self-reported crashes revealed limited predictive efficacy e.g., 10% of crashes. This paper outlines proposed reasons for this limited predictive ability of the DRAS-WV as well as provides suggestions regarding the future of research that aims to develop methods to identify “at risk” drivers.
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Teachers’ professional conversations regarding the qualities evidenced in student work provide opportunities to develop a shared understanding of achievement standards. This research investigates social moderation conducted in a synchronous online mode as a specific form of professional conversation. The discussion considers the different factors that influenced these conversations which included the technologic medium of the meeting. The focus of the discussion is how participation in online moderation can support teachers to develop an assessment identity as one who works within a standards-based assessment system. Qualitative data were gathered from middle school teachers from different year levels, in different curriculum areas, in diverse geographic locations, and in a range of sociocultural contexts within Queensland, Australia. Analysis of the data through a sociocultural lens of becoming suggests that participation in online moderation, while challenging for teachers, can also provide opportunities to construct and to negotiate an identity as an assessor of student work.
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Preparing social work students to be effective practitioners is a complex and challenging task undertaken in a dynamic environment both in terms of the field of social work and the higher education sector. There have been recommendations that self knowledge, empirical knowledge, theoretical knowledge and procedural knowledge are the keys to high standards of social work practice. This paper suggests that the concept of practice wisdom is a useful focus for integrating these different aspects of informed practice and for focusing educational programmes for social work. As practice wisdom is more about process than possessed characteristics then there are important motivational and value-based considerations in developing wise practitioners. This discussion considers motivational and personal narrative aspects of practice wisdom so that it can be integrated into social work teaching.
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The Texas Department of Transportation (TxDOT) is concerned about the widening gap between pavement preservation needs and available funding. Thus, the TxDOT Austin District Pavement Engineer (DPE) has investigated methods to strategically allocate available pavement funding to potential projects that improve the overall performance of the District and Texas highway systems. The primary objective of the study presented in this paper is to develop a network-level project screening and ranking method that supports the Austin District 4-year pavement management plan development. The study developed candidate project selection and ranking algorithms that evaluated pavement conditions of each project candidate using data contained in the Pavement Management Information system (PMIS) database and incorporated insights from Austin District pavement experts; and implemented the developed method and supporting algorithm. This process previously required weeks to complete, but now requires about 10 minutes including data preparation and running the analysis algorithm, which enables the Austin DPE to devote more time and resources to conducting field visits, performing project-level evaluation and testing candidate projects. The case study results showed that the proposed method assisted the DPE in evaluating and prioritizing projects and allocating funds to the right projects at the right time.