105 resultados para Paying off


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Companion volume to the SiMMER National Survey.

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Toddlers were observed as they freely explored different 'falling-off' places on a visual cliff. Toddlers played extensively with wet / non-rigid surfaces (e.g. water) and briefly explored dry / rigid surfaces. Edges were crossed intentionally and unintentionally, either as an extension or consequence of edge engagement, by a sub-group of toddlers. The findings have implications for drowning / injury prevention.

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Computers and information technology play an important role in engineering education at the School of Engineering and Technology, Deakin University, Australia. Experience has shown that there are significant demographic differences between on- and off-campus engineering student groups. It was thought that the differences in the student groups might also lead to differences in computer usage patterns between the groups. A survey on computer usage was undertaken to determine the computer usage patterns of students at the commencement of their studies. The survey revealed differences between on- and off-campus students in whether students indicated they were regular computer users (on-campus = 77.2%, off-campus = 94.7%), the average reported hours per week usage of computers (on-campus = 6.0 h, off-campus = 23.3 h), the reported source of computer access, whether students indicated they were regular users of e-mail (on-campus = 29.8%, off-campus = 73.7%), whether students indicated they were regular users of the World Wide Web (on-campus = 38.6%, off-campus = 68.4%), and the reported source of World Wide Web access. It is proposed that the differing personal circumstances of the two student groups may contribute to the difference in survey responses.

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The widening availability of the internet and the popularity of handheld devices such as Apple’s iPod are creating a generation of tech-savvy students who are becoming more demanding for innovative ways of accessing information. In this study thirty iPods were distributed to students studying an exclusively online graduate level accounting program at a mid-sized Australian university. The students were required to use their iPods as part of the course’s online learning environment. At the end of the semester students were given two questionnaires: (1) to illicit their opinions on the usefulness of the iPod as a learning tool, and (2) to establish their learning styles (using a VARK© questionnaire). The findings indicate that flexibility the perceived benefit of using iPods allowing more efficient and effective study time. In particular the mobility (m-learning) that allowed students to take advantage of what would otherwise be down-time such as travelling on public transport. Disadvantages related to the difficulty in reading text on a small screen and the ability to move to particular parts of a recorded lecture with precision. These comments were consistent for all demographics however students with a more visual learning style rated the iPod more important to their learning than other students. This study involved a small sample but the generally positive response to the use of iPods indicates that there would be value in further studies with larger groups.

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Objectives: Pacific Obesity Prevention in Communities (OPIC) is a community-based intervention project targeting adolescent obesity in Australia, New Zealand, Fiji, and Tonga. The Assessment of Quality of Life Mark 2 (AQoL-6D) instrument was completed by 15,481 adolescents to obtain a description of the quality of life associated with adolescent overweight and obesity, and a corresponding utility score for use in a cost–utility analysis of the interventions. This article describes the recalibration of this utility instrument for adolescents in each country.

Methods: The recalibration was based on country-specific time trade-off (TTO) data for 30 multiattribute health states constructed from the AQoL-6D descriptive system. Senior secondary students, in a classroom setting, responded to 10 health state scenarios each. These TTO interviews were conducted for 24 groups, comprising 279 students in the four countries resulting in 2790 completed TTO scores. The TTO scores were econometrically transformed by regressing the TTO scores upon predicted scores from the AQoL-6D to produce country-specific algorithms. The latter incorporated country-specific “corrections” to the Australian adult utility weights in the original AQoL.

Results: This article reports two methodological elements not previously reported. The first is the econometric modification of an extant multi-attribute utility instrument to accommodate cultural and other group-specific differences in preferences. The second is the use of the TTO technique with adolescents in a classroom group setting. Significant differences in utility scores were found between the four countries.

Conclusion: Statistical results indicate that the AQoL-6D can be validly used in the economic evaluation of both the OPIC interventions and other adolescent programs.

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Our model of negotiation for constructing Negotiation Decision Support Systems is based upon Principled Negotiation and uses trade-off manipulations in order to provide decision support. A resulting system, Family_Winner, was constructed using several information systems techniques. Trade-off Maps (a variant of Constraint Diagrams) are used to represent trade-off opportunities, while an empirically derived formula calculates the amount of compensation given to the ratings of issues remaining in dispute. The Issue Decomposition Hierarchy embedded in the system allows for the incorporation of sub-issues. Family_Winner was originally built for use in Australian Family Law. We believe our model can be extended for use in various other domains.

Family_Winner has been evaluated in the areas of industrial relations, international disputation and company disputes. Results from our evaluation suggest the system works satisfactorily in these domains. We conclude this paper by describing future projects that will develop and extend Family_Winner's functions and applicability.

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This paper evaluates six commonly available parts-of-speech tagging tools over corpora other than those upon which they were originally trained. In particular this investigation measures the performance of the selected tools over varying styles and genres of text without retraining, under the assumption that domain specific training data is not always available. An investigation is performed to determine whether improved results can be achieved by combining the set of tagging tools into ensembles that use voting schemes to determine the best tag for each word. It is found that while accuracy drops due to non-domain specific training, and tag-mapping between corpora, accuracy remains very high, with the support vector machine-based tagger, and the decision tree-based tagger performing best over different corpora. It is also found that an ensemble containing a support vector machine-based tagger, a probabilistic tagger, a decision-tree based tagger and a rule-based tagger produces the largest increase in accuracy and the largest reduction in error across different corpora, using the Precision-Recall voting scheme.