885 resultados para Credit transfers


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Building Web 2.0 sites does not necessarily ensure the success of the site. We aim to better understand what improves the success of a site by drawing insight from biologically inspired design patterns. Web 2.0 sites provide a mechanism for human interaction enabling powerful intercommunication between massive volumes of users. Early Web 2.0 site providers that were previously dominant are being succeeded by newer sites providing innovative social interaction mechanisms. Understanding what site traits contribute to this success drives research into Web sites mechanics using models to describe the associated social networking behaviour. Some of these models attempt to show how the volume of users provides a self-organising and self-contextualisation of content. One model describing coordinated environments is called stigmergy, a term originally describing coordinated insect behavior. This paper explores how exploiting stigmergy can provide a valuable mechanism for identifying and analysing online user behavior specifically when considering that user freedom of choice is restricted by the provided web site functionality. This will aid our building better collaborative Web sites improving the collaborative processes.

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In November 1999, the Queensland Health (QH) Transition to Practice Nurse Education Program - Intensive Care (TPNEP-IC) was initiated in QH Intensive Care Units (ICUs) across Queensland. This 12-month, state-wide, workplace based education program has set minimum standards for intensive care nursing education and therefore minimum standards for intensive care nursing practice in QH. In the 12 years of operation, 824 nurses have completed TPNEP-IC, 761 achieving academic credit status and 453 utilising this academic credit status to undertake postgraduate study in critical/intensive care nursing at three Queensland universities. These outcomes were achieved through the appointment of nurse educators within ICUs who, through a united and strong commitment to this state-wide approach formed collaborative professional networks, which resulted in the development, implementation and maintenance of the program. Furthermore, these networks enabled a framework of support for discussion and dissemination of evidence based practice, to endorse quality processes for TPNEP-IC and to nurture leadership potential among educators. Challenges to overcome included obtaining adequate resources to support all aspects of the program, gaining local management and administrative support, and embedding TPNEP-IC within ICU culture. The 12 years of operation of the program have demonstrated its long term sustainability. The program is being launched through a new blended learning approach utilising e-learning strategies. To capitalise on the current success, a strong commitment by all stakeholders will be required to ensure the ongoing sustainability of the program.

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Theories of entrepreneurship have largely been informed by research in western contexts, and recent calls for research attention to entrepreneurship in developing countries highlight the need for accurate information about entrepreneurship in this field. In addition, some findings from such research have highlighted the critical research needs in this area (Bruton, Ahlstrom & Obloj, 2009). This paper reports early findings from one study of a longitudinal research program with entrepreneurs in an Eastern African context, in a society largely affected by colonization and a long-standing civil war. Entrepreneurs in this study are recipients of micro-credit loans as well as elementary business training. Findings from a review of microloans indicate that entrepreneurial activities are largely in the form of local entrepreneurship rather than systemic entrepreneurship (Suatet, 2011) and the benefits of business improvements achieved from micro-loans are enhanced by feelings of agency and purpose regarding future business activities. Implications for theory and practice are presented.

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From a law enforcement standpoint, the ability to search for a person matching a semantic description (i.e. 1.8m tall, red shirt, jeans) is highly desirable. While a significant research effort has focused on person re-detection (the task of identifying a previously observed individual in surveillance video), these techniques require descriptors to be built from existing image or video observations. As such, person re-detection techniques are not suited to situations where footage of the person of interest is not readily available, such as a witness reporting a recent crime. In this paper, we present a novel framework that is able to search for a person based on a semantic description. The proposed approach uses size and colour cues, and does not require a person detection routine to locate people in the scene, improving utility in crowded conditions. The proposed approach is demonstrated with a new database that will be made available to the research community, and we show that the proposed technique is able to correctly localise a person in a video based on a simple semantic description.

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Person re-identification involves recognising individuals in different locations across a network of cameras and is a challenging task due to a large number of varying factors such as pose (both subject and camera) and ambient lighting conditions. Existing databases do not adequately capture these variations, making evaluations of proposed techniques difficult. In this paper, we present a new challenging multi-camera surveillance database designed for the task of person re-identification. This database consists of 150 unscripted sequences of subjects travelling in a building environment though up to eight camera views, appearing from various angles and in varying illumination conditions. A flexible XML-based evaluation protocol is provided to allow a highly configurable evaluation setup, enabling a variety of scenarios relating to pose and lighting conditions to be evaluated. A baseline person re-identification system consisting of colour, height and texture models is demonstrated on this database.

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In order to promote green building practice in Australia, the Green Building Council of Australia (GBCA) launched the Green Star rating tools for various types of buildings built since 2003. Of these, the Green Star-Education rating tool addresses sustainability issues during the design and construction phrases of education facility development. It covers a number of categories, including Management, Indoor Environment Quality, Energy, Transport, Water, Materials, Land Use & Ecology, Emissions and Innovation. This paper reviews the use of the Green Star system in Australian education facilities construction and the potential challenges associated with Green Star- Education implementation. Score sheets of 34 education projects across Australia that achieved Green Star certification were collected and analysed. The percentage of green star points obtained within each category and sub-category (credits) for each project were analysed to illustrate the achievement of credits. The results show that management-related credits and ecology-related credits are the easiest and most difficult to obtain respectively. The study also indicted that 6 Green Star education projects obtained particularly high percentages in the Innovation category. The investigation of points obtained in each category provides prospective Green Star applicants with insights into credit achievement for future projects.

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STUDY QUESTION: What is the self-reported use of in vitro fertilization (IVF) and ovulation induction (OI) in comparison with insurance claims by Australian women aged 28–36 years? SUMMARY ANSWER: The self-reported use of IVF is quite likely to be valid; however, the use of OI is less well reported. WHAT IS KNOWN AND WHAT THIS PAPER ADDS: Population-based research often relies on the self-reported use of IVF and OI because access to medical records can be difficult and the data need to include sufficient personal identifying information for linkage to other data sources. There have been few attempts to explore the reliability of the self-reported use of IVF and OI using the linkage to medical insurance claims for either treatment. STUDY DESIGN: This prospective, population-based, longitudinal study included the cohort of women born during 1973–1978 and participating in the Australian Longitudinal Study on Women's Health (ALSWH) (n = 14247). From 1996 to 2009, participants were surveyed up to five times. PARTICIPANTS AND SETTING: Participants self-reported their use of IVF or OI in two mailed surveys when aged 28–33 and 31–36 years (n = 7280), respectively. This study links self-report survey responses and claims for treatment or medication from the universal national health insurance scheme (i.e. Medicare Australia). MAIN RESULTS AND THE ROLE OF CHANCE: Comparisons between self-reports and claims data were undertaken for all women consenting to the linkage (n = 3375). The self-reported use of IVF was compared with claims for OI for IVF (Kappa, K = 0.83), oocyte collection (K = 0.82), sperm preparation (K = 0.83), intracytoplasmic sperm injection (K = 0.40), fresh embryo transfers (K = 0.82), frozen embryo transfers (K = 0.64) and OI for IVF medication (K = 0.17). The self-reported use of OI was compared with ovulation monitoring (K = 0.52) and OI medication (K = 0.71). BIAS, CONFOUNDING AND OTHER REASONS FOR CAUTION: There is a possibility of selection bias due to the inclusion criteria for participants in this study: (1) completion of the last two surveys in a series of five and (2) consent to the linkage of their responses with Medicare data. GENERALIZABILITY TO OTHER POPULATIONS: The results are relevant to questionnaire-based research studies with infertile women in developed countries. STUDY FUNDING/COMPETING INTEREST(S): ALSWH is funded by the Australian Government Department of Health and Ageing. This research is funded by a National Health and Medical Research Council Centre of Research Excellence grant.

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As ambient computing blends into the fabric of the modern urban environment developing a positive interplay between people, places, and technology to create enlivened, interactive cities becomes a necessary priority in how we imagine, understand, design, and develop cities. Designing technology for art, culture and gastronomic experiences, that are rich in community, can provide the means for collaborative action to (re)create cities that are lively, engaging, and promote a sense of well being as well as belonging.

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In Exercise in Losing Control (2007) and We Are for You Because We are Against Them (2010), Austrian-born artist Noemi Lakmaier represents Otherness – and, in particular, the experience of Otherness as one of being vulnerable, dependent or visibly different from everyone else in a social situation – by placing first herself then a group of participants in big circular balls she calls ‘Weebles’. In doing so, Lakmaier depicts Otherness as an absurd, ambiguous or illegible element in otherwise everyday ‘living installations’ in which people meet, converse, dine and connect with spectators and passersby on the street. In this paper I analyse the way spectators and passersby respond to the weeble-wearers. Not surprisingly, responses vary – from people who hurry away, to people who try to talk to the weeble-wearer, to people who try to kick or tip the weeble to test its reality. The not-quite-normal situation, and the visibility of the spectators in the situation, asks spectators to rehearse their response to corporeal differences that might be encountered in day-to-day life. As the range of comments, confrontations and struggles show, the situation transfers the ill-at-ease, embarrassed and awkward aspects of dealing with corporeal difference from the disabled performer to the able spectator-become-performer. In this paper, I theorise some of the self-conscious spectatorial responses this sort of work can provoke in terms of an ethics of embarrassment. As the Latin roots of the word attest, embarrassment is born of a block, barrier or obstacle to move smoothly through a social or communicative encounter. In Lakmaier’s work, a range of potential blocks present themselves. The spectators’ responses – from ignoring the weeble, to querying the weeble, to asking visual, verbal or physical questions about how the weeble works, and so on – are ways of managing the interruption and moving forward. They are, I argue, strategies for moving from confusion to comprehension, or from what Emmanuel Levinas would call an encounter with the unknown to back into the horizon of the known, classified and classifiable. They flag the potential for what Levinas would call an ethical face-to-face encounter with the Other in which spectators and passersby may unexpectedly find themselves in a vulnerable position.

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Carbon credit markets are in the early stages of development and media headlines such as these illustrate emerging levels of concern and foreboding over the potential for fraudulent crime within these markets. Australian companies are continuing to venture into the largely unregulated voluntary carbon credit market to offset their emissions and / or give their customers the opportunity to be ‘carbon neutral’. Accordingly, the voluntary market has seen a proliferation of carbon brokers that offer tailored offset carbon products according to need and taste. With the instigation of the Australian compliance market and with pressure increasing for political responses to combat climate change, we would expect Australian companies to experience greater exposure to carbon products in both compliance and voluntary markets. This paper examines the risks of carbon fraud in these markets by reviewing cases of actual fraud and analysing and identifying contexts where risks of carbon fraud are most likely.

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In this paper, we propose a novel relay ordering and scheduling strategy for the sequential slotted amplify-and-forward (SAF) protocol and evaluate its performance in terms of diversity-multiplexing trade-off (DMT). The relays between the source and destination are grouped into two relay clusters based on their respective locations. The proposed strategy achieves partial relay isolation and decreases the decoding complexity at the destination. We show that the DMT upper bound of sequential-SAF with the proposed strategy outperforms other amplify and forward protocols and is more practical compared to the relay isolation assumption made in the original paper [1]. Simulation result shows that the sequential-SAF protocol with the proposed strategy has better outage performance compared to the existing AF and non-cooperative protocols in high SNR regime.

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In this paper, we propose a novel slotted hybrid cooperative protocol named the sequential slotted amplify-decodeand-forward (SADF) protocol and evaluate its performance in terms of diversity-multiplexing trade-off (DMT). The relays between the source and destination are divided into two different groups and each relay either amplifies or decodes the received signal. We first compute the optimal DMT of the proposed protocol with the assumption of perfect decoding at the DF relays. We then derive the DMT closed-form expression of the proposed sequential-SADF and obtain the proximity gain bound for achieving the optimal DMT. With the proximity gain bound, we then found the distance ratio to achieve the optimal DMT performance. Simulation result shows that the proposed protocol with high proximity gain outperforms other cooperative communication protocols in high SNR regime.

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The rapid increase in the deployment of CCTV systems has led to a greater demand for algorithms that are able to process incoming video feeds. These algorithms are designed to extract information of interest for human operators. During the past several years, there has been a large effort to detect abnormal activities through computer vision techniques. Typically, the problem is formulated as a novelty detection task where the system is trained on normal data and is required to detect events which do not fit the learned `normal' model. Many researchers have tried various sets of features to train different learning models to detect abnormal behaviour in video footage. In this work we propose using a Semi-2D Hidden Markov Model (HMM) to model the normal activities of people. The outliers of the model with insufficient likelihood are identified as abnormal activities. Our Semi-2D HMM is designed to model both the temporal and spatial causalities of the crowd behaviour by assuming the current state of the Hidden Markov Model depends not only on the previous state in the temporal direction, but also on the previous states of the adjacent spatial locations. Two different HMMs are trained to model both the vertical and horizontal spatial causal information. Location features, flow features and optical flow textures are used as the features for the model. The proposed approach is evaluated using the publicly available UCSD datasets and we demonstrate improved performance compared to other state of the art methods.

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Spatio-Temporal interest points are the most popular feature representation in the field of action recognition. A variety of methods have been proposed to detect and describe local patches in video with several techniques reporting state of the art performance for action recognition. However, the reported results are obtained under different experimental settings with different datasets, making it difficult to compare the various approaches. As a result of this, we seek to comprehensively evaluate state of the art spatio- temporal features under a common evaluation framework with popular benchmark datasets (KTH, Weizmann) and more challenging datasets such as Hollywood2. The purpose of this work is to provide guidance for researchers, when selecting features for different applications with different environmental conditions. In this work we evaluate four popular descriptors (HOG, HOF, HOG/HOF, HOG3D) using a popular bag of visual features representation, and Support Vector Machines (SVM)for classification. Moreover, we provide an in-depth analysis of local feature descriptors and optimize the codebook sizes for different datasets with different descriptors. In this paper, we demonstrate that motion based features offer better performance than those that rely solely on spatial information, while features that combine both types of data are more consistent across a variety of conditions, but typically require a larger codebook for optimal performance.

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Design researchers have an important role to play when engaged with user-driven design projects in industry. Design researchers can craft ethnographic material to facilitate transfers of user-knowledge to industry, and demonstrate how this material can be used in the design of new products and services. However, ethnographic findings can reveal issues that are in tension with conceptions of the project members from industry. Instead of brushing these tensions aside, we propose provotyping (provocative prototyping) as an approach to constructively build on them as a resource for change. Provotypes are ethnographically rooted, technically working, robust artefacts that deliberately challenge stakeholder conceptions by reifying and exposing tensions that surround a field of organisational interest. The daily and local experience of provotypes aims to stir dialectical processes of reflection on how conceptions currently are, and fuel the front end of a development process by speculating how conceptions could be different. In this article we start by making explicit the relation between provotypes, practices of critical design and organisational sense-making. We then illustrate, through a multi-stakeholder project concerning the field of indoor climate, how provotypes facilitate transfers of user knowledge to industry, and how they contribute to the development of new products and services. We end by framing the role of the design researcher and discuss the politics that are inherent to design provocations.