36 resultados para Wavefront-guided

em Deakin Research Online - Australia


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This paper describes a distinctive approach to the sexually transmissible infections (STI) clinical consultation: 'the guided reflection approach'. The authors coined this term and identified the guided reflection approach through analysis of 22 in-depth interviews with practitioners who provide care for people with STI, and 34 people who had attended a healthcare facility in Australia for screening or treatment of an STI. A grounded theory method was used to collect and analyse this information. The data revealed when the STI consultation is conducted using the principles characterized by the guided reflection approach creates contexts for sexual empowerment that have the potential to effectively assist people to gain autonomy for safe sex. Routinely, most of the practitioners in this study were shown to direct the STI consultation towards risk behaviours and practices and prevention of transmission, with minimal intervention. However, this study shows that if clinical interaction is to make a difference to the patient's autonomy for sexual behaviour, two changes will be required. First, practitioners need to adopt the goal of assisting patients to attain levels of autonomy, and second, practitioners require education to assist them to develop the interactive skills needed to engage patients in dialogue and reflection about sexual behaviour.

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Research on quality in early childhood has consistently shown that staff are the cornerstone of excellence, and that staff training makes a difference to services provided to children and families. There is also a growing awareness of the importance of adopting a planned approach to career development and that this begins with self-assessment, and can be enhanced through the use of guided reflection with a mentor. The Early Childhood Consortium Victoria (ECCV) at The University of Melbourne, has developed a self-assessment manual (SAM) designed as a tool for early childhood practitioners to explore their work in a strategic way. It serves the dual purposes of assisting practitioners to address issues of service quality, as well as promoting individual professional development through reflective practice. SAM has now been piloted in a number of early childhood settings in Australia and this paper presents a formative evaluation of this work and discusses its potential for professional development planning.

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This article reports on the findings of a study conducted with a group of early childhood education undergraduate students from the second year of the Bachelor of Early Childhood Education course offered at the University of Melbourne. The study trialled a number of guided reflection techniques that acted to stimulate and provide a structure for reflection. These techniques were further supplemented by focus group discussions based on reflective principles, in the hope of fully engaging the students in the reflective process over the course of a year. All techniques were designed to assist the student teachers in becoming aware of the current philosophy they hold in relation to teaching and learning, and also in understanding how this has been shaped by past experiences, beliefs and knowledge. The effectiveness of the guided reflection techniques was evaluated by the participants at the end of the project. The surveys showed that three of the techniques were particularly successful. Student perceptions as to the success of the process are reported in the article.

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It has been consistently reported that vegetable oils including canola oil have a life shortening effect in Stroke-Prone Spontaneously Hypertensive Rats (SHRSP) and this toxic effect is not due to the fatty acid composition of the oil. Although it is possible that the phytosterol content or type of phytosterol present in vegetable oils may play some role in the life shortening effect observed in SHRSP rats this is still not completely resolved. Furthermore supercritical CO2 fractionation of canola oil with subsequent testing in SHRSP rats identified safe and toxic fractions however, the compounds responsible for life shortening effect were not characterised. The conventional approach to screen toxic substances in oils using rats takes more than six months and involves large number of animals. In this article we describe how rapid bioassay-guided screening could be used to identify toxic substances derived from vegetable oils and/or processed foods fortified with vegetable oils. The technique incorporates sequential fractionation of oils/processed foods and subsequent treatment of human cell lines that can be used in place of animal studies to determine cytotoxicity of the fractions with structural elucidation of compounds of interest determined via HPLC-MS and GC-MS. The rapid bioassay-guided screening proposed would require two weeks to test multiple fractions from oils, compared with six months if animal experiments were used to screen toxic effects. Fractionation of oil before bio-assay enhances the effectiveness of the detection of active compounds as fractionation increases the relative concentration of minor components.

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A concrete–steel interface spectral element is developed to study the guided wave propagation along the steel rebar in the concrete. Scalar damage parameters characterizing changes in the interface (debonding damage) are incorporated into the formulation of the spectral finite element that is used for damage detection of reinforced concrete structures. Experimental tests are carried out on a reinforced concrete beam with embedded piezoelectric elements to verify the performance of the proposed model and algorithm. Parametric studies are performed to evaluate the effect of different damage scenarios on wave propagation in the reinforced concrete structures. Numerical simulations and experimental results show that the method is effective to model wave propagation along the steel rebar in concrete and promising to detect damage in the concrete–steel interface.

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Traditional Failure Mode and Effect Analysis (FMEA) utilizes the Risk Priority Number (RPN) ranking system to evaluate the risk level of failures, to rank failures, and to prioritize actions. Although this method is simple, it suffers from several shortcomings. In this paper, use of fuzzy inference techniques for RPN determination in an attempt to overcome the weaknesses associated with the traditional RPN ranking system is investigated. However, the fuzzy RPN model, suffers from the combinatorial rule explosion problem. As a result, a generic rule reduction approach, i.e. the Guided Rule Reduction System (GRRS), is proposed to reduce the number of rules that need to be provided by users during the fuzzy RPN modeling process. The proposed approach is evaluated using real-world case studies pertaining to semiconductor manufacturing. The results are analyzed, and implications of the proposed approach are discussed.

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Purpose – To propose a generic method to simplify the fuzzy logic-based failure mode and effect analysis (FMEA) methodology by reducing the number of rules that needs to be provided by FMEA users for the fuzzy risk priority number (RPN) modeling process.

Design/methodology/approach – The fuzzy RPN approach typically requires a large number of rules, and it is a tedious task to obtain a full set of rules. The larger the number of rules provided by the users, the better the prediction accuracy of the fuzzy RPN model. As the number of rules required increases, ease of use of the model decreases since the users have to provide a lot of information/rules for the modeling process. A guided rules reduction system (GRRS) is thus proposed to regulate the number of rules required during the fuzzy RPN modeling process. The effectiveness of the proposed GRRS is investigated using three real-world case studies in a semiconductor manufacturing process.

Findings – In this paper, we argued that not all the rules are actually required in the fuzzy RPN model. Eliminating some of the rules does not necessarily lead to a significant change in the model output. However, some of the rules are vitally important and cannot be ignored. The proposed GRRS is able to provide guidelines to the users which rules are required and which can be eliminated. By employing the GRRS, the users do not need to provide all the rules, but only the important ones when constructing the fuzzy RPN model. The results obtained from the case studies demonstrate that the proposed GRRS is able to reduce the number of rules required and, at the same time, to maintain the ability of the Fuzzy RPN model to produce predictions that are in agreement with experts' knowledge in risk evaluation, ranking, and prioritization tasks.

Research limitations/implications – The proposed GRRS is limited to FMEA systems that utilize the fuzzy RPN model.

Practical implications – The proposed GRRS is able to simplify the fuzzy logic-based FMEA methodology and make it possible to be implemented in real environments.

Originality/value – The value of the current paper is on the proposal of a GRRS for rule reduction to enhance the practical use of the fuzzy RPN model in real environments.