7 resultados para LINE-DATA-BASE

em Deakin Research Online - Australia


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Recommendations based on off-line data processing has attracted increasing attention from both research communities and IT industries. The recommendation techniques could be used to explore huge volumes of data, identify the items that users probably like, and translate the research results into real-world applications, etc. This paper surveys the recent progress in the research of recommendations based on off-line data processing, with emphasis on new techniques (such as context-based recommendation, temporal recommendation), and new features (such as serendipitous recommendation). Finally, we outline some existing challenges for future research.

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This thesis is concerned with the development of a funding mechanism, the Student Resource Index, which has been designed to resolve a number of difficulties which emerged following the introduction of integration or inclusion as an alternative means of providing educational support to students with disabilities in the Australian State of Victoria. Prior to 1984, the year in which the major integration or inclusion initiatives were introduced, the great majority of students with disabilities were educated in segregated special schools, however, by 1992 the integration initiatives had been successful in including within regular classes approximately half of the students in receipt of additional educational assistance on the basis of disability. The success of the integration program brought with it a number of administrative and financial problems which were the subject of three government enquiries. Central to these difficulties was the development of a dual system of special education provision. On one hand, additional resources were provided for the students attending segregated special schools by means of weighted student ratios, with one teacher being provided for each six students attending a special school. On the other hand, the requirements of individual students integrated into regular schools were assessed by school-based committees on the basis of their perceived extra educational needs. The major criticism of this dual system of special education funding was that it created inequities in the distribution of resources both between the systems and also within the systems. For example, three students with equivalent needs, one of whom attended a special school and two of whom attended different regular schools could each be funded at substantially differing levels. The solution to these inequities of funding was seen to be in the development of a needs based funding device which encompassed all students in receipt of additional disability related educational support. The Student Resource Index developed in this thesis is a set of behavioural descriptors designed to assess degree of additional educational need across a number of disability domains. These domains include hearing, vision, communication, health, co-ordination (manual and mobility), intellectual capacity and behaviour. The completed Student Resource Index provides a profile of the students’ needs across all of these domains and as such addresses the multiple nature of many disabling conditions. The Student Resource Index was validated in terms of its capacity to predict the ‘known’ membership or the type of special school which some 1200 students in the sample currently attended. The decision to use the existing special school populations as the criterion against which the Student Resource Index was validated was based on the premise that the differing resource levels of these schools had been historically determined by expert opinion, industrial negotiation and reference to other special education systems as the most reliable estimate of the enrolled students’ needs. When discriminant function analysis was applied to some 178 students attending one school for students with mild intellectual disability and one facility for students with moderate to severe intellectual disability the Student Resource Index was successful in predicting the student's known school in 92 percent of cases. An analysis of those students (8 percent) which the Student Resource Index had failed to predict their known school enrolment revealed that 13 students had, for a variety of reasons, been inappropriately placed in these settings. When these students were removed from the sample the predictive accuracy of the Student Resource Index was raised to 96 percent of the sample. By comparison the domains of the Vineland Adaptive Behaviour Scale accurately predicted known enrolments of 76 percent of the sample. By way of replication discriminant function analysis was then applied to the Student Resource Index profiles of 518 students attending Day Special Schools (Mild Intellectual Disability) and 287 students attending Special Developmental Schools (Moderate to Severe Intellectual Disability). In this case, the Student Resource Index profiles were successful in predicting the known enrolments of 85 percent of students. When a third group was added, 147 students attending Day Special Schools for students with physical disabilities, the Student Resource Index predicted known enrolments in 80 percent of cases. The addition of a fourth group of 116 students attending Day Special Schools (Hearing Impaired) to the discriminant analysis led to a small reduction in predictive accuracy from 80 percent to 78 percent of the sample. A final analysis which included students attending a School for the Deaf-Blind, a Hospital School and a Social and Behavioural Unit was successful in predicting known enrolments in 71 percent of the 1114 students in the sample. For reasons which are expanded upon within the thesis it was concluded that the Student Resource Index when used in conjunction with discriminant function analysis was capable of isolating four distinct groups on the basis of their additional educational needs. If the historically determined and varied funding levels provided to these groups, inherent in the cash equivalent of the staffing ratios of Day Special Schools (Mild Intellectual Disability), Special Development Schools (Moderate to Severe Intellectual Disability), Day Special Schools (Physical Disability) and Day Special Schools (Hearing Impairment) are accepted as reasonable reflections of these students’ needs these funding levels can be translated into funding bands. These funding bands can then be applied to students in segregated or inclusive placements. The thesis demonstrates that a new applicant for funding can be introduced into the existing data base and by the use of discriminant function analysis be allocated to one of the four groups. The analysis is in effect saying that this new student’s profile of educational needs has more in common with Group A than with the members of Groups B, C, or D. The student would then be funded at Group A level. It is immaterial from a funding point of view whether the student decides to attend a segregated or inclusive setting. The thesis then examines the impact of the introduction of Student Resource Index based funding upon the current funding of the special schools in one of the major metropolitan regions. Overall, such an initiative would lead to a reduction of 1.54 percent of the total funding accruing to the region’s special schools.

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Objectives
Australia has the highest incidence of skin cancer in the world. Skin cancer prevention campaigns have been implemented in Australia for over two decades. The most notable is under the brand name, SunSmart. The aim of the current study is to assess the cost-effectiveness of SunSmart in the past and the potential cost-effectiveness of an ongoing national SunSmart program with optimal investment in the future.

Methods
An economic evaluation from a health sector perspective was conducted using the reduction in skin cancer incidence attributable to the SunSmart program modelled as the primary end-point. Historical SunSmart program expenditures were obtained from three representative states in three latitude zones, covering different levels of UVR exposure. Melanoma incidence rates from the three representative state cancer registers were used to model the health outcomes. Program effectiveness was assessed by the comparison between the well-resourced SunSmart state (Victoria) and the under-invested states (New South Wales and Queensland). Non-Melanoma Skin Cancer (NMSC) was modelled based on national survey results. 2003 was chosen as the reference year and future costs/outcomes over a 20 year time horizon were discounted at 3%.
The future level of investment in a national SunSmart was chosen to strengthen current practice by increasing current investment to a realistic and achievable level. This conservative increase in investment (expressed as ‘$ per capita’) reflected the investment level that has been achieved in Victoria over sustained periods. To model the potential cost-effectiveness of an upgraded national SunSmart program, a conservative approach was taken, whereby the same magnitude of effectiveness from 1988 to 2003 was applied to future skin cancer incidence.

Results
SunSmart in Victoria has saved 22,300 life-years, averted 27,900 disability-adjusted life-years(DALYs)(discounted) since its introduction in 1988 and achieved an incremental cost-effectiveness ratio (ICER) of $AUD 680 per life-year saved (LYS) and $AUD 540 per DALY averted. When the cost-offset from the estimated reduction in skin cancer treatment costs were taken into account, SunSmart achieved ‘dominance’. The net cost of SunSmart in the past was an estimated saving of $AUD 93 million. An upgraded national SunSmart for the next 20 years would save 91,000 life-years and avert 122,000 DALYs (discounted), involving an increased investment level from the current $AUD 0.07 per capita to the historical average of $AUD 0.28 per capita. The ICER for the upgraded SunSmart program was estimated at $AUD 940 per LYS and $AUD 700 per DALY averted. When the cost-offset is included, the program achieves dominance with a cost saving of $AUD 115 million – an estimated $AUD 2.32 return for every dollar invested between 2003 and 2022.

Conclusions
This study demonstrates that a sustained modest investment in skin cancer control is likely to be excellent value-for-money. While the available data base is certainly not prefect, key parameters would have to change dramatically for this conclusion to be challenged.

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The study's aim was to investigate whether an Entrepreneurial Business Planning (EBP) paradigm could be discovered as a body of core, common maxims within the normative EBP literature (works of the 'how-to-write-a-successful-new-venture-business-plan' genre). It employed content analysis techniques adapted mainly from the methodological prescriptions of Krippendorf (1980) and Carney (1972). The textual investigation produced a comprehensive, quantitative data base capable of sufficient interpretative richness to discover that an established Entrepreneurial Business Planning paradigm does exist. Its major elements embrace two key assumptions, four strong mandates and four weaker mandates.

The discovery is significant for two main reasons. First, it provides a formally-researched, explicitly-articulated EBP paradigm. This can replace the anecdotal, unarticulated assumption (implicit in most of the normative EBP literature) that an EBP paradigm 'probably exists'. Second, the research redresses some of the imbalance between entrepreneurship teaching- where Entrepreneurial Business Planning is at the core of international curricula - and entrepreneurship research which has virtually ignored EBP as a topic worthy of serious scrutiny. A firm basis for critical, scholarly exploration of the neglected EBP field is now established. This takes the theory and practice of EBP into a new era beginning with recognition that the discovered EBP paradigm is badly flawed and likely, if blindly applied, to lead to the writing of unsuccessful business plans.

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This chapter describes some aspects of life quality in Australia. The data for the initial overview have come from various sources. Following this general introduction, the chapter concentrates on two areas of Australian life that are key to subjective wellbeing. Using the combined data base from 24 surveys using the Australian Unity Wellbeing Index, we identified the happiest and the saddest groups in Australia as defined by their demographic profile. The highest wellbeing groups comprise people who have both a partner and a decent level of wealth. The lowest wellbeing groups are people with no partner, who have a low income and who are unemployed. The chapter then concentrates on the two common, defining elements of the highest and lowest groups as money and relationships. The results are interpreted in terms of data norms, homeostasis theory and possible causal agents. It is concluded that the results generally conform to the predictions of homeostasis and offer signposts as to the kinds of structural changes that influence population wellbeing.

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The Functional Independence Measure (FIM) was selected as an assessment to be conducted annually with adults attending The Spastic Centre of New South Wales (SCNSW), Australia, an organisation specifically for individuals with cerebral palsy. Service-providers were trained in the administration of the FIM and in the use of a customised data base. Initially 173 adults with cerebral palsy were assessed, this number included 135 individuals in supported and open employment. The FIM is currently being used to assess all adults attending the SCNSW as part of an annual review. The data from this ongoing assessment procedure will assist in lobbying government to ensure that individuals have access to the attendant care services that they require to function optimally in the community and will provide a longitudinal data base for study of some of the effects of the ageing process on individuals with cerebral palsy. A case study is presented which illustrates the use of the FIM with a couple who live independently in the community.