928 resultados para Many-valued logic


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Background: Knowledge of the human biosciences is fundamental to the development of competent nurse practitioners (Smales, 2010) with the requisite knowledge and skills, necessary for high quality patient care and good patient outcomes (Logan and Angel, 2011). Many of these students study bioscience units which cover topics in anatomy, physiology, pathophysiology and microbiology. Studies of science recall in general and medical education, report up to 33% loss of knowledge in the first year which declines to 50% in the subsequent year (Custers, 2010). Objectives: The objectives were to test the recall of bioscience knowledge by nursing students and to ascertain their perceptions of the testing. Questions explored: What would the results be for multiple choice questions in fundamental microbiology and gastrointestinal anatomy and physiology (A&P) undertaken by nursing students 4, 9 and 16 months after their first bioscience exam on these topics? Would pre-warning the students of a microbiology quiz and not a gastrointestinal A&P quiz affect the findings? How would the students respond to the testing when surveyed? Recall results: The nursing students performed better in the final exam on gastrointestinal A&P than on fundamental microbiology. There was an approximate 20% loss in knowledge of gastrointestinal A&P after 4 months and this did not change significantly over the next 12 months. Although there was an improved performance in microbiology quizzes after 4 months, there was no significant difference in results over the next 12 months. Survey results: More than 50% of students thought the testing helped them focus for the lectures and made them aware they had some pre-knowledge of the lecture topics. Discussion: Although there was a loss of knowledge of gastrointestinal A&P, it appears that warning the students about the microbiology quiz may have helped their recall. The majority of students valued the testing as a useful learning exercise. References: Custers, E. J. F. M. (2010). Long-term retention of basic science knowledge: a review study. Advances in Health Science Education, 15, 109-128. Smales, K. (2010). Learning and applying biosciences to clinical practice in nursing. Nursing Standard, 24(33), 35-39. Logan, P.A., & Angel, L. (2011). Nursing as a scientific undertaking and the intersection with science in undergraduate studies: implications for nursing management. Journal of Nursing Management, 19(3), 407-417.

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Unlike the work available in many creative disciplines, musicians and dancers have the possibility of full-time, company-based employment; however, participants far outweigh the number of available positions. As a result, many graduates become ‘enforced entrepreneurs’ as they shape their work to meet personal and professional needs. This paper first explores the career projections of 58 music and dance students who were surveyed in their first week of post-secondary study. It then contrasts these findings with the reality of graduate careers as reported by five of that cohort four years later. In contrast with the students’ overwhelming focus on performance roles, the graduate cohort reported a prevalence of portfolio careers incorporating both creative and non-creative roles. The paper characterises the notion of a performing arts ‘career’ as a messy concept fraught with misunderstanding. Implications include the need to heighten students’ career awareness and position intrinsic satisfaction as a valued career concept.

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The purpose of this book by two Australian authors is to: introduce the audience to the full complement of contextual elements found within program theory; offer practical suggestions to engage with theories of change, theories of action and logic models; and provide substantial evidence for this approach through scholarly literature, practice case studies together with the authors' combined experience of 60 years.

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Many dramatic images of hurricane Sandy hitting the east coast of the US have been captured but which have been tweeted the most and which are real?

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The majority of tertiary practice-led creative arts disciplines became part of the Australian university system as a result of the creation of the Unified National System of tertiary education in 1988. Over the past two decades, research has grown as the yardstick by which academic performance in the Australian university sector is recognised and rewarded. Academics in artistic disciplines, who struggled to adapt to a culture and workload expectations different from their previous, predominantly teaching based, employment, continue to see their research under-valued within the established evaluation framework. Despite a late 1990s Australian government funded inquiry, many of the inequities remain. While the Excellence in Research in Australia (ERA) exercise has acknowledged the non-text outputs of artist-academics in its evaluation of 'research outcomes', much of the process remains resolutely framed by measures that work against creative arts researchers.

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This research is a step forward in improving the accuracy of detecting anomaly in a data graph representing connectivity between people in an online social network. The proposed hybrid methods are based on fuzzy machine learning techniques utilising different types of structural input features. The methods are presented within a multi-layered framework which provides the full requirements needed for finding anomalies in data graphs generated from online social networks, including data modelling and analysis, labelling, and evaluation.

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The ten-year anniversary of TOPLAP presents a unique opportunity for reflection and introspection. In this essay we ask the question, what is the meaning of live coding? Our goal is not to answer this question, in absolute terms, but rather to attempt to unpack some of live coding's many meanings. Our hope is that by exploring some of the formal, embodied, and cultural meanings surrounding live-coding practice, we may help to stimulate a conversation that will resonate within the live-coding community for the next ten years

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Selection of features that will permit accurate pattern classification is a difficult task. However, if a particular data set is represented by discrete valued features, it becomes possible to determine empirically the contribution that each feature makes to the discrimination between classes. This paper extends the discrimination bound method so that both the maximum and average discrimination expected on unseen test data can be estimated. These estimation techniques are the basis of a backwards elimination algorithm that can be use to rank features in order of their discriminative power. Two problems are used to demonstrate this feature selection process: classification of the Mushroom Database, and a real-world, pregnancy related medical risk prediction task - assessment of risk of perinatal death.

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We propose expected attainable discrimination (EAD) as a measure to select discrete valued features for reliable discrimination between two classes of data. EAD is an average of the area under the ROC curves obtained when a simple histogram probability density model is trained and tested on many random partitions of a data set. EAD can be incorporated into various stepwise search methods to determine promising subsets of features, particularly when misclassification costs are difficult or impossible to specify. Experimental application to the problem of risk prediction in pregnancy is described.

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Every university in Australia has a set of policies that guide the institution in its educational practices, however, the policies are often developed in isolation to each other. Now imagine a space where policies are evidence-based, refined annually, cohesively interrelated, and meet stakeholders’ needs. Is this happenstance or the result of good planning? Culturally, Queensland University of Technology (QUT) is a risk-averse institution that takes pride in its financial solvency and is always keen to know “how are we going?” With a twenty-year history of annual reporting that assures the quality of course performance through multiple lines of evidence, QUT’s Learning and Teaching Unit went one step further and strategically aligned a suite of policies that take into consideration the needs of their stakeholders, collaborate with other areas across the institution and use multiple lines of evidence to inform curriculum decision-making. In QUT’s experience, strategic planning can lead to policy that is designed to meet stakeholders’ needs, not manage them; where decision-making is supported by evidence, not rhetoric; where all feedback is incorporated, not ignored; and where policies are cohesively interrelated, not isolated. While many may call this ‘policy nirvana’, QUT has positioned itself to demonstrate good educational practice through Reframe, its evaluation framework. In this case, best practice was achieved through the application of a theory of change and a design-led logic model that allows for transition to other institutions with different cultural specificity. The evaluation approach follows Seldin’s (2003) notion to offer depth and breadth to the evaluation framework along with Berk’s (2005) concept of multiple lines of evidence. In summary, this paper offers university executives, academics, planning and quality staff an opportunity to understand the critical steps that lead to strategic planning and design of evidence-based educational policy that positions a university for best practice in learning and teaching.

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Background Drink driving remains an important issue to address in terms of health and injury prevention even though research shows that over time there has been a steady decline in drink driving. This has been attributed to the introduction of countermeasures such as random breath testing (RBT), changing community attitudes and norms leading to less acceptance of the behaviour and, to a lesser degree, the implementation of programs designed to deter offenders from engaging in drink driving. Most of the research to date has focused on the hard core offenders - those with high blood alcohol content at the time of arrest, and those who have more than one offence. Aims There has been little research on differences within the first offender population or on factors contributing to second offences. This research aims to fill the gap by reporting on those factors in a sample of offenders. Methods This paper reports on a study that involved interviewing 198 first offenders in court and following up this group 6-8 months post offence. Of these original participants, 101 offenders were able to be followed up, with 88 included in this paper on the basis that they had driven a vehicle since the offence. Results Interestingly, while the rate of reported apprehended second offences was low in that time frame (3%), a surprising number of offenders reported that they had driven under the influence at a much higher rate (27%). That is a large proportion of first offenders were willing to risk the much larger penalties associated with a second offence in order to engage in drink driving. Discussion and conclusions Key characteristics of this follow up group are examined to inform the development of a evidence based brief intervention program that targets first time offenders with the goal of decreasing the rate of repeat drink driving.

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The standard method for deciding bit-vector constraints is via eager reduction to propositional logic. This is usually done after first applying powerful rewrite techniques. While often efficient in practice, this method does not scale on problems for which top-level rewrites cannot reduce the problem size sufficiently. A lazy solver can target such problems by doing many satisfiability checks, each of which only reasons about a small subset of the problem. In addition, the lazy approach enables a wide range of optimization techniques that are not available to the eager approach. In this paper we describe the architecture and features of our lazy solver (LBV). We provide a comparative analysis of the eager and lazy approaches, and show how they are complementary in terms of the types of problems they can efficiently solve. For this reason, we propose a portfolio approach that runs a lazy and eager solver in parallel. Our empirical evaluation shows that the lazy solver can solve problems none of the eager solvers can and that the portfolio solver outperforms other solvers both in terms of total number of problems solved and the time taken to solve them.

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PCYCs, individually and as a whole, are highly valued in communities across Queensland. Participants in this evaluation identified numerous benefits of PCYCs, including: providing structured low-cost activities for young people and other community groups; developing positive relationships and trust between young people and police; developing young people into effective citizens; providing a safe place for young people and a hub for whole communities; addressing disadvantages faced by young people; and fostering social inclusion. Depending on the particular activities and programs delivered by a branch, PCYCs have the capacity to minimise risk factors and enhance protective factors relating to young people’s involvement in crime. For example, PCYCs can play an important role in strengthening young people’s engagement with education and family. However, the crime prevention and community safety aims of PCYCs, and measures that might work towards these aims are not widely- or well-understood, or appreciated, by those working in and with PCYCs. The key recommendation of this evaluation is therefore that the crime prevention and community safety aims of PCYCs in Queensland need to be better articulated, understood and reflected in the practice of those working in and with PCYCs. A related key finding is that many of the activities and programs currently provided by PCYCs could be better oriented towards the goals of crime prevention and community safety without major resource implications.