88 resultados para Component Based Development


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Giddens’ structuration theory (ST) offers an account of social life in terms of social practices developing and changing over time and space, which makes no attempt to directly theorize the Information Systems (IS) domain. IS researchers have long been interested in it as a way of deepening understanding; a common application is the analysis of empirical situations using Giddens’ ‘dimensions of the duality of structure’ model. Other writers, most notably Orlikowski, have used it help theorize the field. Often the mode of research employed has been the interpretative case study. However, direct attempts to influence practice (an important component of working in an applied field), perhaps through the vehicle of action research, have yet to be undertaken. There are at least three serious problems with attempting this. The first is the inaccessibility of the theory to IS researchers and practitioners. The second is the absence of specific theories of technology. The third is Giddens’ own disinterest in practical uses of his work – which leaves no obvious path to follow. This paper explores that path, in the context of information system development (ISD). Some frameworks for practice are suggested which are translated into forms of discourse that are more accessible to the IS community. In particular, we include an empirical illustration to demonstrate the potential of ISD tools based on structuration theory.

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This data collection addresses the problem of low ductility in magnesium alloys, preventing their wider use. It examines a series of dilute alloys in order to determine the effect of composition on the extrusion behaviour and texture, and on the room temperature tensile ductility.

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The overwhelming threat posed by climate change means that increasingly, emphasis is being placed on the need to integrate sustainability considerations into all areas of policy making, planning and development. Actors in the built environment are progressively considering environmental and social issues alongside functional and economic aspects of development projects. However, to date in Australia and internationally, there have been few practical examples of integrated applications of sustainability principles in the built environment across design, planning, construction, operation and de-construction phases. Notable initiatives have tended to be narrow in scope, focusing on either mitigation or adaptation strategies. Integrated considerations of impacts from component and building scales to city and regional scales and across physical and socio-economic dimensions are urgently needed, particularly for long-life major infrastructure projects. This paper proposes a conceptual framework based on the principal that early intervention is the most cost-effective and efficient means of implementing effective strategies for mitigation and adaptation. A Strategic Environmental Assessment (SEA) approach is forwarded as an umbrella analytical framework, assembled from analytical methods which are strategically ‘tiered’ to inform different stages of the planning and decision-making process. Techniques such as Ecological footprint, Life cycle costing and Risk analysis may be applied to integrate sustainable design, construction and planning considerations which address both mitigation and adaptation dimensions, results of each analysis ultimately being collated into the overall SEA. This integrated conceptual framework for sustainable, resilient and cost-effective infrastructure development will in practice be applied to assess selected case-studies of major development projects in Australia, focusing on the area of stadium development. Practically applied and timed accordingly, the framework would allow assessments to be targeted towards appropriate decision making levels and enable better decision-making and more efficient resource allocation for major infrastructure development projects.

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Background. In Australia most chronic disease management is funded by Medicare Australia through General Practitioner Management Plans (GPMPs) and Team Care Arrangements (TCAs). Identified barriers may be reduced effectively using a broadband-based network known as the Chronic Disease Management Service (CDMS).

Aims. To measure the uptake and adherence to CDMS, test CDMS, and assess the adherence of health providers and patients to GPMPs and TCAs generated through CDMS.

Methods. A single cohort before and after study.

Results. GPMPs and TCAs increased. There was no change to prescribed medicines or psychological quality of life. Attendance at allied health professionals increased, but decreased at pharmacies. Overall satisfaction with CDMS was high among GPs, allied health professionals, and patients.

Conclusion. This study demonstrates proof of concept, but replication or continuation of the study is desirable to enable the impact of CDMS on diabetes outcomes to be determined.

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The introduction of the new “Early Years Learning Framework” (DEEWR, 2009 has shifted, the focus in Early Childhood Centres (ECC) from incidental learning through play, to planning curriculum with play as the vehicle to achieve learning. Our Teaching and Learning Grant Project was intended to identify instances of educator practice that fit with the new framework, and video practitioners’ sessions to select vignettes to use as part of an Early Childhood Science Education Unit. The method of identifying and collecting such illustrations is examined here for its feasibility as a research design to collect data to explore a range of educator practices that fit with the new framework. The data collection method was found useful for these purposes.

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Context: Serum 25-hydroxyvitamin D [25(OH)D] concentration has been inversely associated with the prevalence of metabolic syndrome (MetS), but the relationship between 25(OH)D and incident MetS remains unclear.

Objective: We evaluated the prospective association between 25(OH)D, MetS, and its components in a large population-based cohort of adults aged 25 yr or older.

Design: We used baseline (1999–2000) and 5-yr follow-up data of the Australian Diabetes, Obesity, and Lifestyle Study (AusDiab).

Participants: Of the 11,247 adults evaluated at baseline, 6,537 returned for follow-up. We studied those without MetS at baseline and with complete data (n = 4164; mean age 50 yr; 58% women; 92% Europids).

Outcome Measures: We report the associations between baseline 25(OH)D and 5-yr MetS incidence and its components, adjusted for age, sex, ethnicity, season, latitude, smoking, family history of type 2 diabetes, physical activity, education, kidney function, waist circumference (WC), and baseline MetS components.

Results: A total of 528 incident cases (12.7%) of MetS developed over 5 yr. Compared with those in the highest quintile of 25(OH)D (≥34 ng/ml), MetS risk was significantly higher in people with 25(OH)D in the first (<18 ng/ml) and second (18–23 ng/ml) quintiles; odds ratio (95% confidence interval) = 1.41 (1.02–1.95) and 1.74 (1.28–2.37), respectively. Serum 25(OH)D was inversely associated with 5-yr WC (P < 0.001), triglycerides (P < 0.01), fasting glucose (P < 0.01), and homeostasis model assessment for insulin resistance (P < 0.001) but not with 2-h plasma glucose (P = 0.29), high-density lipoprotein cholesterol (P = 0.70), or blood pressure (P = 0.46).

Conclusions: In Australian adults, lower 25(OH)D concentrations were associated with increased MetS risk and higher WC, serum triglyceride, fasting glucose, and insulin resistance at 5 yr. Vitamin D supplementation studies are required to establish whether the link between vitamin D deficiency and MetS is causal.

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The problem of nonnegative blind source separation (NBSS) is addressed in this paper, where both the sources and the mixing matrix are nonnegative. Because many real-world signals are sparse, we deal with NBSS by sparse component analysis. First, a determinant-based sparseness measure, named D-measure, is introduced to gauge the temporal and spatial sparseness of signals. Based on this measure, a new NBSS model is derived, and an iterative sparseness maximization (ISM) approach is proposed to solve this model. In the ISM approach, the NBSS problem can be cast into row-to-row optimizations with respect to the unmixing matrix, and then the quadratic programming (QP) technique is used to optimize each row. Furthermore, we analyze the source identifiability and the computational complexity of the proposed ISM-QP method. The new method requires relatively weak conditions on the sources and the mixing matrix, has high computational efficiency, and is easy to implement. Simulation results demonstrate the effectiveness of our method.

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This paper has as its focus an analysis of the question and problem of classroom teacher effectiveness research and inquiry. It presents an examination of what counts as valid and worthwhile research in classroom teacher effectiveness studies for the development of education policy within an Australian context, the State of Victoria. The Government’s Blueprint, the major education policy document of the Victorian State Labour Government, outlines its educational approach. Important and core features of government direction for education policy include a focus on social and economic disadvantage. A priority for the Victorian State Labour Government is tangible and measurable improvement in the performance of the public education system. A particular concern is the problem of academic underperformance within public schools, particularly those designated as low-performing and situated in socially and economically disadvantaged communities. Building the capacity of the State’s teacher workforce forms a key component of the Blueprint, and State Government direction in public education. The paper utilises a qualitative theoretical framework. Eight education policy actor/participants were interviewed and their responses analysed using a critical discourse approach. The main findings indicate that education policy actors advocate a strong belief in particular forms of evidence-based research for the development of education policy in the area of classroom teacher effectiveness.

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Aim.  The aim of this study was to develop a potential scoring algorithm for interventions in a chronic heart failure management programme – the Heart Failure Intervention Score – to facilitate quality improvement and programme auditing.

Background.  The overall efficacy of chronic heart failure management programmes has been demonstrated in several meta-analyses. However, meta-analyses did not determine individual interventions in a programme that resulted in beneficial patient outcomes.

Design.
  A prospective cross-sectional survey design.

Method. 
All chronic heart failure management programmes in Australia (n = 62), identified by a national register, were surveyed to determine programme characteristics and interventions.

Results.
  Of the 62 national chronic heart failure management programmes, 48 (77%) completed the survey and 27 individual interventions were identified. Variability in the use of the key interventions was common among the programmes. Each intervention was given an arbitrary weighted score according to the level of supportive evidence available and a total score calculated. Programmes were then categorised into low or high complexity based on several interventions implemented and their weighted score. A total score of ≥190 (median = 178, interquartile range 176–195) was used to divide programmes into two groups. Nine programmes were categorised into high Heart Failure Intervention Score group and majority of these were based in the acute hospital setting (78%). In the low Heart Failure Intervention Score group, there were 39 programmes of which there were a higher proportion of community-based programmes (38%) and programmes in small community hospitals (10%).

Conclusion.  The Heart Failure Intervention Score provides a potential evidence-based quality improvement tool through which a set of minimum standards can be developed. Implementation of the Heart Failure Intervention Score provides guidance to programme coordinators to enable monitoring of standards of heart failure programmes, which may potentially result in better patient outcomes.

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Asset-based community development (ABCD) is a highly participatory approach to development that seeks to empower communities to draw on tangible and social community assets to manage their own development. The strength of ABCD is its ability to facilitate people imagining their world differently, resulting in action to change their circumstances. Previous research has shown international non-government organisations have found highly participatory, community-led approaches to development to have been particularly effective forms of poverty mitigation and community empowerment within Myanmar, even before the current reforms, which is surprising given the restrictive socio-political context created by authoritarian rule by a regime with an international reputation for human rights violations. 

This paper documents ABCD programs within Myanmar, one of the poorest countries in Asia suffering major underdevelopment and ranking poorly across a wide range of socioeconomic indicators. It explores the operation, effectiveness and reasons behind the success of ABCD programs in this environment, and reflects on the role of outsiders in ABCD in the light of underlying theory and this contemporary experience. This research draws largely on recent field interviews and personal experience working in this sector within Myanmar, as well as surveying a number of evaluation reports which have been made publically available.

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Bending and reverse bending are the dominant material deformations in roll forming, and hence property data derived from bend tests could be more relevant than tensile test data for numerical simulation of a roll forming process. Recent investigations have shown that residual stresses change the material behavior close to the yield in a bending test. So, residual stresses introduced during prior steel processing operations may affect the roll forming process, and therefore they need to be included in roll forming simulations to achieve improved model accuracy. Measuring the residual stress profile experimentally is time consuming and has limited accuracy while analytical models that are available require detailed information about the pre-processing conditions that is generally not available for roll forming materials. The main goal of this study is to develop an inverse routine that determines a residual stress profile through the material thickness based on experimental pure bend test data. A numerical model of the skin passing (temper rolling) process is performed to introduce a residual stress profile in DP780 steel sheet. The skin passed strips are used in a pure bending simulation to record moment-curvature data and this data is then applied in an inverse analysis to predict the residual stress profile in the material. Comparison of the residual stress profile predicted by the inverse routine with that calculated by finite element analysis (FEA) indicates an inverse approach combined with pure bend test may present an alternative to predict residual stresses in sheet metals.