992 resultados para Multisensory integration


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In this paper, two evolutionary artificial neural network (EANN) models that are based on integration of two supervised adaptive resonance theory (ART)-based artificial neural networks with a hybrid genetic algorithm (HGA) are proposed. The search process of the proposed EANN models is guided by a knowledge base established by ART with respect to the training data samples. The EANN models explore the search space for “coarse” solutions, and such solutions are then refined using the local search process of the HGA. The performances of the proposed EANN models are evaluated and compared with those from other classifiers using more than ten benchmark data sets. The applicability of the EANN models to a real medical classification task is also demonstrated. The results from the experimental studies demonstrate the effectiveness and usefulness of the proposed EANN models in undertaking pattern classification problems.

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The current global economic instability and the vulnerability of small nations provide the impetus for greater integration between the countries of the South Pacific region. This exercise is critical for their survival. Past efforts of regional integration in the South Pacific have mostly failed. However, today’s IT collaborative capabilities provide the opportunity to develop a shared IT infrastructure to facilitate integration in the South Pacific. In developing an IT-backed model of regional integration, this study identifies and reports on the antecedents of the current stage for integration in the Pacific. We conducted interviews with twenty five individuals from various sectors and find that while most respondents were optimistic about the potential of IT-backed regional integration, significant challenges exists. The study identifies and discusses these challenges providing policy implications to stakeholders in the regional integration process. The findings will assist in suggesting a model of regional integration 2.0 for the Pacific region.

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Australian Museums Online (AMOL) was the earliest attempt to make Australia’s distributed cultural collections accessible from a single online resource. Despite early successes, significant achievements and the considerable value it offered certain groups, the project ran into operational difficulties and was eventually discontinued. By using Actor-Network Theory and analysing the global and local actor-networks, it is revealed that although the project originated from large, state museums, buy-in was restricted to individuals, rather than institutions and the most significant value was for smaller, regional institutions. Furthermore, although the global networks that governed the project could translate their visions through the local production networks, because the network’s underlying weaknesses were never addressed, over time this destablised the global networks. This case study offers advice for projects attempting to consolidate data sources from disparate sources, and highlights the importance of individual actors in championing the project.

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Previous research has indicated that undergraduate student learning can be enhanced through active involvement in research. Furthermore, creating an academic environment where teaching and research are intimately linked can facilitate the induction of students into a community of learners where new knowledge is created, explored and critiqued. Scaffolding and supporting student learning via engagement in authentic research experiences can work to ensure graduating students have the capacity to generate and investigate important questions that contributes to the development of new knowledge. This paper presents a case study that outlines curriculum design and pedagogical strategies aimed at integrating teaching and research within the first year of an undergraduate course. First year Food and Nutrition students were asked to partake in a research project where they were asked to complete a series of diet and food related questionnaires, analyse, interpret and critique the resulting data. Students were supported through this learning activity via small group tutorial support and question and answer sessions within the learning management system. Anonymous evaluation of the teaching and learning experience was conducted at the end of the teaching period and the results indicate that the students welcomed the opportunity to engage in an authentic, research based learning activity. Students’ found the assessment tasks were clearly explained to them (88% agreeing), and felt well supported in approaching this research based assessment task. Furthermore, the qualitative comments indicated that the students’ found the learning environment to be meaningful and relevant. This case study indicates that it is possible to effectively incorporate authentic research experiences within the curriculum of a first year course. The experiential, inquiry based learning approach used supported the students’ participation in a systematic, rigorous data collection process required in a structured research environment and blended these requirements with authentic learning of discipline specific skills and knowledge.

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Renewable energy resources, especially wind power, are expected to provide a considerable portion of the world energy requirements in the near future. Large-scale wind power penetration impacts the electricity industry in many aspects and raises a number of technical challenges for the electricity network. A day-ahead network-constrained market clearing formulation is proposed which considers demand side resources. The proposed approach can provide flexible load profile and reduce the need for ramp up/down services by the conventional generators. This method can potentially facilitate a large penetration of wind power by shifting the wind power generation from the off-peak periods to the high-peak hours. The validity of the proposed approach has been verified using the IEEE 30 bus and 57 bus test systems.

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ASEAN recognises that concerted efforts are required to narrow development gaps between ASEAN countries to ensure that development and the benefits of economic integration are equitably shared by all member states and their citizens. Narrowing development gaps between member states is a cornerstone of the equitable economic development agenda within ASEAN and forms an important part of the ASEAN Roadmap. This agenda translates primarily to a concern for the relatively low development achievements in the CLMV countries compared to those in the ASEAN-6 group. 


Within ASEAN and among its partners, there has been ambiguity over precisely how to define and measure the development gap between ASEAN countries, particularly the gap between ASEAN-6 and CLMV groups. One way of defining the gap is to treat it as an increasing function of the difference in average development achievement between the ASEAN-6 and CLMV countries.

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In primary care, evidence-based psychological treatments for obsessive compulsive disorder (OCD), such as cognitive behaviour therapy (CBT), have not been readily available. We aimed to develop models of care for OCD that account for barriers to access and can be integrated into general practice settings. Multiple methodologies and sources were utilised, including literature reviews, a reference group, focus groups, interviews and questionnaire responses from consumers, psychologists and/or GPs. It was found that there were similarities and some differences among stakeholders in attitudes and knowledge about OCD, and views about treatment and assessment in primary care. Three models of care for patients with OCD were developed and integrated into a treatment program operating through a division of general practice. Participating GPs preferred referral to a specialist clinic, irrespective of participation in an educational program about OCD. Based on these findings, it is suggested that effective integration of specialist CBT treatments for OCD into primary care is possible if the needs and views of all stakeholders are accounted for.