993 resultados para Program Optimization


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This thesis explores The Virtues Project's ontological, educational and cross-cultural dimensions taking Charles Taylor's philosophical perspective of an anthropological account of the self and a phenomenological account of moral life and engagement. The experience of Mongolian schoolteachers implementing this moral education program is analyzed using a narrative inquiry method. The globally attractive project appears in moral education and virtues ethics research and surveys, yet no critical evaluation has been undertaken. Its conceptual features are appraised from a Taylorean perspective. The Listening Guide analysis of teacher experiences is presented in two narratives. The first is about the teachers' implementation experiences of moral flourishing as selves, in relationships and in community. The second is about their experience of becoming Mongolian in their modern day context. In conclusion, the project is coherent, constructive and potentially suitable cross-culturally.

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University strategic plans emphasise the essential nature of partnerships at national and international levels. Along with establishing collaborative research partnerships, providing professional development to key stakeholders is considered a crucial activity for making and sustaining partnerships. Utilising knowledge from professional development in Australian contexts can be managed creatively for making connections internationally. Indeed, knowledge transfer is a cornerstone for the globalisation of education and needs to occur as a multiplex dialogue between participating countries. This paper presents a qualitative study around the Mentoring for Effective Teaching (MET) program, its growth and development nationally (e.g., scope and impact) along with insights into making connections within the Asia-Pacific region. At a national level, we outline how to facilitate a program though relationship building and face-to-face implementation of professional learning. Internationally, we highlight how to mould and shape Australian professional learning for the Asia-Pacific region, particularly with regard to facilitating fluid interactions within environments outside of Australia. The contexts for the study include a university in Hong Kong and another university in the Philippines. In this presentation, examples will be provided from the MET program to demonstrate contextual differences and similarities for implementation in Australian and Asian contexts. For instance, determining strategies for mentoring pedagogical knowledge can elicit viewpoints that align between cultures (e.g., use of specific teaching and questioning strategies) and also present alternative ideas as a result of cultural differences. We have learnt about having a structured program that draws on the research yet has sufficient flexibility to cater for cultures and contexts. With openmindedness, facilitating professional learning can become a two-way knowledge transfer, where learnings from other cultures and contexts can be refined for advancing programs in Australia.

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Optical transmittance and conductivity for thin metallic films, such as Au, are two inversely related and extremely important parameters for its application in organic photovoltaics as the front electrode. We report our findings on how these parameters have been optimized to attain maximum possible efficiencies by fabricating organic solar cells with thin Au film anodes of differing optical transmittances and consequently due to scaling at the nanolevel, varying electrical conductivities. There was an extraordinary improvement in the overall solar cell efficiency (to the order of 49%) when the Au thin film transmittance was increased from 38% to 54%. Surface morphologies of these thin films also have an effect on the critical parameters including, Voc, Jsc and FF.

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As transnational programs are often advocated as a knowledge transfer opportunity between the partner universities, this case study investigated the knowledge transfer (KT) processes between Indonesian and Australian universities through an undergraduate transnational program partnership (TPP). An inter-organisational KT theoretical framework from the business sector was adapted and used to guide the study. The data were generated through semi-structured interviews with key university officers and document analysis from two partner universities. Based on the thematic analysis of the data, the findings demonstrated that the curriculum mapping process facilitated KT. However, different intentions of the partner universities in establishing the program led to declining interest to conduct more KT when expectations were not met. The Indonesian university’s existing knowledge, acquired from other sources through processes that were serendipitous and based on individual lecturers’ personal experience, meant that KT opportunities through the TPP were not always pursued despite written agreement to exchange knowledge with the Australian partner. While KT most evidently resulted in institutional capacity development for the Indonesian university’s school that managed the TPP, dissemination of knowledge to other units within the university was more challenging due to communication problems between the units. Hence, other universities seeking to conduct KT through TPPs need to understand each partner university's intention in establishing the partnerships, identify the institutions' needs before seeking knowledge input from the partner university and improve the communication between and within the universities for sustainable benefits.

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Rationale, aims and objectives: Patients with both cardiac disease and diabetes have poorer health outcomes than patients with only one chronic condition. While evidence indicates that internet based interventions may improve health outcomes for patients with a chronic disease, there is no literature on internet programs specific to cardiac patients with comorbid diabetes. Therefore this study aimed to develop a specific web-based program, then to explore patients’ perspectives on the usefulness of a new program. Methods: The interpretive approach using semi-structured interviews on a purposive sample of eligible patients with type 2 diabetes and a cardiac condition in a metropolitan hospital in Brisbane, Australia. Thematic analysis was undertaken to describe the perceived usefulness of a newly developed Heart2heart webpage. Results: Themes identified included confidence in hospital health professionals and reliance on doctors to manage conditions. Patients found the webpage useful for managing their conditions at home. Conclusions: The new Heart2heart webpage provided a positive and useful resource. Further research on to determine the potential influence of this resource on patients’ self-management behaviours is paramount. Implications for practice include using multimedia strategies for providing information to patients’ comorbidities of cardiac disease and type 2 diabetes, and further development on enhancement of such strategies

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Species identification based on short sequences of DNA markers, that is, DNA barcoding, has emerged as an integral part of modern taxonomy. However, software for the analysis of large and multilocus barcoding data sets is scarce. The Basic Local Alignment Search Tool (BLAST) is currently the fastest tool capable of handling large databases (e.g. >5000 sequences), but its accuracy is a concern and has been criticized for its local optimization. However, current more accurate software requires sequence alignment or complex calculations, which are time-consuming when dealing with large data sets during data preprocessing or during the search stage. Therefore, it is imperative to develop a practical program for both accurate and scalable species identification for DNA barcoding. In this context, we present VIP Barcoding: a user-friendly software in graphical user interface for rapid DNA barcoding. It adopts a hybrid, two-stage algorithm. First, an alignment-free composition vector (CV) method is utilized to reduce searching space by screening a reference database. The alignment-based K2P distance nearest-neighbour method is then employed to analyse the smaller data set generated in the first stage. In comparison with other software, we demonstrate that VIP Barcoding has (i) higher accuracy than Blastn and several alignment-free methods and (ii) higher scalability than alignment-based distance methods and character-based methods. These results suggest that this platform is able to deal with both large-scale and multilocus barcoding data with accuracy and can contribute to DNA barcoding for modern taxonomy. VIP Barcoding is free and available at http://msl.sls.cuhk.edu.hk/vipbarcoding/.

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This paper describes the development and use of personas, a Human Computer Interaction (HCI) research methodology, within the STIMulate peer learning program, in order to better understand student behaviour patterns and motivations. STIMulate is a support for learning program at the Queensland University of Technology (QUT) in Brisbane, Australia. The program provides assistance in mathematics, science and information technology (IT) for course work students. A STIMulate space is provided for students to study and obtain one-on-one assistance from Peer Learning Facilitators (PLFs), who are experienced students that have excelled in relevant subject areas. This paper describes personas – archetypal users - that represent the motivations and behavioural patterns of students that utilise STIMulate (particularly the IT stream). The personas were developed based on interviews with PLFs, and subsequently validated by a PLF focus group. Seven different personas were developed. The personas enable us to better understand the characteristics of the students utilising the STIMulate program. The research provides a clearer picture of visiting student motivations and behavioural patterns. This has helped us identify gaps in the services provided, and be more aware of our assumptions about students. The personas have been deployed in PLF training programs, to help PLFs provide a better service to the students. The research findings suggest further study on the resonances between some students and PLFs, which we would like to better elicit.

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This chapter focuses on teacher education for high-poverty schools in Australia and suggests that a contextualization of poverty is an important step in identifying solutions to the persistent gaps in how teachers are prepared to teach in schools where they can make a lasting difference. Understanding how poverty looks different between and within different countries provides a reminder of the complexities of disadvantage. Similarities exist within OECD countries; however, differences are also evident. This is something that initial teacher education (ITE) solutions need to take into account. While Australia has a history of initiatives designed to address teacher education for high-poverty schools, this chapter provides a particular snapshot of Australia’s National Exceptional Teachers for Disadvantaged Schools program (NETDS), a large-scale, national partnership between universities and Departments of Education, which is partially supported by philanthropic funding.

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Young people are over-represented in road crashes and school-based education programs, including the RACQ Docudrama program, represent initiatives aimed at improving road safety among this high-risk group. The aim of the study was to apply an extended Theory of Planned Behaviour framework to understand more about the extent to which the program influenced individuals‟ intentions to speak up to a driver engaging in risky behaviours (e.g., speeding). Senior high school students (N=260) from 5 Queensland schools completed a survey in class. The study included a Control group (n = 86) who responded to the survey prior to completing the Docudrama program and an Intervention group comprising an Intervention-Immediate (n=100) and an Intervention-Delayed group (n = 74) who completed the survey after having participated in the program either on the day or up to a week later, respectively. Overall, the findings provided support for the beneficial effects of the program. Some of the study’s key findings included: (i) Intervention group participants consistently reported significantly stronger intentions to speak up than participants in the control group; (ii) among the significant predictors of intentions, a notable finding was that the more individuals anticipated feeling regretful for not having spoken up to a risky driver, the stronger their intentions were to speak up, and; (iii) the level of fear reported by students significantly decreased and was lowest at the conclusion of the program, following facilitated group discussion. The implications of the results for future research, program development and practice are discussed.

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Widening participation or outreach agendas have been a major part of higher education policy since the early 2000s. These policies and programs seek to increase marginalised groups’ access to further study through activities, tutoring programs, workshops, and other provisions. Some programs openly state their intention to assist people from low socioeconomic backgrounds to become more civically engaged and socially mobile by improving their education, which creates an immediate link between education and social capital (see Morley 2012; Hillmert and Jacob 2010). Social capital refers to the ‘connections among individuals’ and the consequent value of the things they do together (Putnam 2000; Gauntlett 2011). Media and creative arts widening participation programs, arguably, are better equipped to build social capital than any other form of outreach, due to their relationship-building capacity (Gauntlett 2011; Kinder and Harland 2004). This article analyses Queensland University of Technology’s Creative Industries Widening Participation Program. It investigates social capital and its relationship with higher education in outreach initiatives in order to identify how media and creative arts widening participation programs have the capacity to influence the attitudes of low socioeconomic background students towards higher education.

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This program of research investigated the factors facilitating drink driving in Indigenous communities in Far North Queensland. Drink driving-related road crashes are a significant health burden for Indigenous people, as they die in road crashes at three times the rate of other Australians and are 30% more likely to be seriously injured. This research provided information to develop and pilot a culturally-specific program, 'Hero to Healing'. The main motivation to drink drive was related to 'kinship pressure; where drivers were pressured by family members to drive after drinking. The underlying responsibility for transporting family members was related to cultural values and involved responding to family needs as a priority. Exposure to older family members drink driving was considered to play a role in normalising the behaviour, leading to imitation into adulthood. The research highlighted the need to treat drink driving as a community issue, rather than an individual phenomenon.

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This study investigated the development and operation of Learner Driver Mentor Programs (LDMPs). LDMPs are used throughout Australia to assist young learner drivers to gain supervised on-road driving experience through coordinated access to vehicles and supervisors. There is a significant lack of research regarding these programs. In this study, 41 stakeholders including representatives from existing or ceased LDMPs as well as representatives of other groups completed a questionnaire in either survey or interview format. The questionnaire sought information about the objectives of LDMPs, any social problems that were targeted as well as the characteristics of an ideal program and what could be done to improve them. Stakeholders indicated that LDMPs were targeted at local communities and, therefore, there should be a clear local need for the program as well as community ownership and involvement in the program. Additionally, the program needed to be accessible and provide clear positive outcomes for mentees. The most common suggestion to improve LDMPs related to the provision of greater funding and sponsorship, particularly in relation to the vehicles used within the programs. LDMPs appear to have an important role in facilitating young learner drivers to acquire the appropriate number of supervised hours of driving practice. However, while a number of factors appear related to a successful program, the program must remain flexible and suitable for its local community. There is a clear need to complete evaluations of existing programs to ensure that future LDMPs and modifications to existing programs are evidence-based.

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This paper presents a chance-constrained linear programming formulation for reservoir operation of a multipurpose reservoir. The release policy is defined by a chance constraint that the probability of irrigation release in any period equalling or exceeding the irrigation demand is at least equal to a specified value P (called reliability level). The model determines the maximum annual hydropower produced while meeting the irrigation demand at a specified reliability level. The model considers variation in reservoir water level elevation and also the operating range within which the turbine operates. A linear approximation for nonlinear power production function is assumed and the solution obtained within a specified tolerance limit. The inflow into the reservoir is considered random. The chance constraint is converted into its deterministic equivalent using a linear decision rule and inflow probability distribution. The model application is demonstrated through a case study.

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A fuzzy waste-load allocation model, FWLAM, is developed for water quality management of a river system using fuzzy multiple-objective optimization. An important feature of this model is its capability to incorporate the aspirations and conflicting objectives of the pollution control agency and dischargers. The vagueness associated with specifying the water quality criteria and fraction removal levels is modeled in a fuzzy framework. The goals related to the pollution control agency and dischargers are expressed as fuzzy sets. The membership functions of these fuzzy sets are considered to represent the variation of satisfaction levels of the pollution control agency and dischargers in attaining their respective goals. Two formulations—namely, the MAX-MIN and MAX-BIAS formulations—are proposed for FWLAM. The MAX-MIN formulation maximizes the minimum satisfaction level in the system. The MAX-BIAS formulation maximizes a bias measure, giving a solution that favors the dischargers. Maximization of the bias measure attempts to keep the satisfaction levels of the dischargers away from the minimum satisfaction level and that of the pollution control agency close to the minimum satisfaction level. Most of the conventional water quality management models use waste treatment cost curves that are uncertain and nonlinear. Unlike such models, FWLAM avoids the use of cost curves. Further, the model provides the flexibility for the pollution control agency and dischargers to specify their aspirations independently.

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The random early detection (RED) technique has seen a lot of research over the years. However, the functional relationship between RED performance and its parameters viz,, queue weight (omega(q)), marking probability (max(p)), minimum threshold (min(th)) and maximum threshold (max(th)) is not analytically availa ble. In this paper, we formulate a probabilistic constrained optimization problem by assuming a nonlinear relationship between the RED average queue length and its parameters. This problem involves all the RED parameters as the variables of the optimization problem. We use the barrier and the penalty function approaches for its Solution. However (as above), the exact functional relationship between the barrier and penalty objective functions and the optimization variable is not known, but noisy samples of these are available for different parameter values. Thus, for obtaining the gradient and Hessian of the objective, we use certain recently developed simultaneous perturbation stochastic approximation (SPSA) based estimates of these. We propose two four-timescale stochastic approximation algorithms based oil certain modified second-order SPSA updates for finding the optimum RED parameters. We present the results of detailed simulation experiments conducted over different network topologies and network/traffic conditions/settings, comparing the performance of Our algorithms with variants of RED and a few other well known adaptive queue management (AQM) techniques discussed in the literature.