343 resultados para requirement


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The purpose of this scoping paper is to offer an overview of the literature to determine the development to date in the area of residential real estate agency academic and career education in respect to Foreign Direct Investment (FDI) transactions and implications in Australia. This paper will review studies on the issue of foreign real estate ownership and FDI in Australian real estate markets to develop an understanding of the current state of knowledge on residential real estate agency practice, career education and real estate licensing requirements in Australia. The distinction between the real estate profession education, compared to other professions such as accounting, legal and finance is based on the intensity of the professional career training prior or post formal academic training. Real estate education could be carried out with relatively higher standards in terms of licensing requirement, career and academic education. As FDI in the Australian real estate market is a complex globalisation and economic phenomenon, a simple content of residential real estate training and education may not promote proper management or capacity in dealing with relevant foreign residential property market transaction. The preliminary summarising from the literature of residential real estate agency education, with its current relevant or emerging licensing requirement are focused on its role and effectiveness and impact in residential real estate market. Particular focus will be directed to the FDI relevant residential real estate agency transactions and practices, which have been strongly influenced by the current residential real estate market and agency practices. Taken together, there are many opportunities for future research to extend our understanding and improving the residential real estate agency education and training of Foreign Direct Investment in the Australian residential real estate sector.

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Real Estate Agency education in Australia has undergone many changes during the last 40 years. This is primarily due to the changing nature of consumer protection provided by government and the expectation of increased fields of knowledge relating to real estate transactions. Each state and territory within Australia has a range of regulatory bodies to oversee consumer protection and the distinct licenses and educational requirements that comprise their regimes. Since the 1970’s minimum educational requirements in New South Wales are prescribed for real estate agency work. However, very little research exists in the Australian literature, where an analysis has been undertaken to evaluate these changes, which includes course content, hours allocated for each subject, assessment criteria for each subject,the educational qualification attained, and the requirement for industry experience as a pre-requisite for licensing approval. It is argued that the change to educational requirements, has impacted negatively for the consumer, with an increase in consumer complaints, particularly during the last 10 years.

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Moderation of student assessment is a critical component of teaching and learning in contemporary universities. In Australia, moderation is mandated through university policies and through the new national university accreditation authority, Tertiary Education Quality and Standards Agency which began operations in late January 2012 (TEQSA, 2012). The TEQSA requirement to declare details of moderation and any other arrangements used to support consistency and reliability of assessment and grading across each subject in the course of study is a radical step intended to move toward heightened accountability and greater transparency in the tertiary sector as well as entrenching evidence-based practice in the management of Australian academic programs. In light of this reform, the purpose of this project was to investigate and analyse current moderation practices operating within a faculty of education at a large urban university in Queensland, Australia. This qualitative study involved interviews with the unit coordinators (n=21) and tutors (n=8) of core undergraduate education units and graduate diploma units within the faculty. Four distinct discourses of moderation that academics drew on to discuss their practices were identified in the study. These were: equity, justification, community building, and accountability. These discourses, together with recommendations for changes to moderation practices are discussed in this paper.

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We demonstrate that in zebrafish, the microRNA miR-451 plays a crucial role in promoting erythroid maturation, in part via its target transcript gata2. Zebrafish miR-144 and miR-451 are processed from a single precursor transcript selectively expressed in erythrocytes. In contrast to other hematopoietic mutants, the ze-brafish mutant meunier (mnr) showed intact erythroid specification but diminished miR-144/451 expression. Although erythropoiesis initiated normally in mnr, erythrocyte maturation was morphologically retarded. Morpholino knockdown of miR-451 increased erythrocyte immaturity in wild-type embryos, and miR-451 RNA duplexes partially rescued erythroid maturation in mnr, demonstrating a requirement and role for miR-451 in erythro-cyte maturation. mnr provided a selectively miR-144/451-deficient background, facilitating studies to discern miRNA function and validate candidate targets. Among computer-predicted miR-451 targets potentially mediating these biologic effects, the pro-stem cell transcription factor gata2 was an attractive candidate. In vivo reporter assays validated the predicted miR-451/gata2-3'UTR interaction, gata2 down-regulation was delayed in miR-451-knockdown and mnr embryos, and gata2 knockdown partially restored erythroid maturation in mnr, collectively confirming gata2down-regulation as pivotal for miR-451-driven erythroid maturation. These studies define a new genetic pathway promoting erythroid maturation (mnr/miR-451/gata2) and provide a rare example of partial rescue of a mutant phenotype solely by miRNA overexpression. © 2009 by The American Society of Hematology.

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The huge amount of CCTV footage available makes it very burdensome to process these videos manually through human operators. This has made automated processing of video footage through computer vision technologies necessary. 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. There is no precise and exact definition for an abnormal activity; it is dependent on the context of the scene. Hence there is a requirement for different feature sets to detect different kinds of abnormal activities. In this work we evaluate the performance of different state of the art features to detect the presence of the abnormal objects in the scene. These include optical flow vectors to detect motion related anomalies, textures of optical flow and image textures to detect the presence of abnormal objects. These extracted features in different combinations are modeled using different state of the art models such as Gaussian mixture model(GMM) and Semi- 2D Hidden Markov model(HMM) to analyse the performances. Further we apply perspective normalization to the extracted features to compensate for perspective distortion due to the distance between the camera and objects of consideration. 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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As support grows for greater access to information and data held by governments, so does awareness of the need for appropriate policy, technical and legal frameworks to achieve the desired economic and societal outcomes. Since the late 2000s numerous international organizations, inter-governmental bodies and governments have issued open government data policies, which set out key principles underpinning access to, and the release and reuse of data. These policies reiterate the value of government data and establish the default position that it should be openly accessible to the public under transparent and non-discriminatory conditions, which are conducive to innovative reuse of the data. A key principle stated in open government data policies is that legal rights in government information must be exercised in a manner that is consistent with and supports the open accessibility and reusability of the data. In particular, where government information and data is protected by copyright, access should be provided under licensing terms which clearly permit its reuse and dissemination. This principle has been further developed in the policies issued by Australian Governments into a specific requirement that Government agencies are to apply the Creative Commons Attribution licence (CC BY) as the default licensing position when releasing government information and data. A wide-ranging survey of the practices of Australian Government agencies in managing their information and data, commissioned by the Office of the Australian Information Commissioner in 2012, provides valuable insights into progress towards the achievement of open government policy objectives and the adoption of open licensing practices. The survey results indicate that Australian Government agencies are embracing open access and a proactive disclosure culture and that open licensing under Creative Commons licences is increasingly prevalent. However, the finding that ‘[t]he default position of open access licensing is not clearly or robustly stated, nor properly reflected in the practice of Government agencies’ points to the need to further develop the policy framework and the principles governing information access and reuse, and to provide practical guidance tools on open licensing if the broadest range of government information and data is to be made available for innovative reuse.

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Computer generated materials are ubiquitous and we encounter them on a daily basis, even though most people are unaware that this is the case. Blockbuster movies, television weather reports and telephone directories all include material that is produced by utilising computer technologies. Copyright protection for materials generated by a programmed computer was considered by the Federal Court and Full Court of the Federal Court in Telstra Corporation Limited v Phone Directories Company Pty Ltd. The court held that the White and Yellow pages telephone directories produced by Telstra and its subsidiary, Sensis, were not protected by copyright because they were computer-generated works which lacked the requisite human authorship. The Copyright Act 1968 (Cth) does not contain specific provisions on the subsistence of copyright in computer-generated materials. Although the issue of copyright protection for computer-generated materials has been examined in Australia on two separate occasions by independently-constituted Copyright Law Review Committees over a period of 10 years (1988 to 1998), the Committees’ recommendations for legislative clarification by the enactment of specific amendments to the Copyright Act have not yet been implemented and the legal position remains unclear. In the light of the decision of the Full Federal Court in Telstra v Phone Directories it is timely to consider whether specific provisions should be enacted to clarify the position of computer-generated works under copyright law and, in particular, whether the requirement of human authorship for original works protected under Part III of the Copyright Act should now be reconceptualised to align with the realities of how copyright materials are created in the digital era.

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Oral immunization is attractive as a delivery route because it is needle-free and useful for rapid mass vaccination programs to target pandemics or bioterrorism. This potential has not been realized for human vaccination, due to the requirement of large antigen doses and toxic (to humans) adjuvants to overcome the induction of oral tolerance and potential degradation of antigens in the stomach. To date, only oral vaccines based on live attenuated organisms have been approved for human use. In this study we describe the use of a lipid-based delivery system/adjuvant, Lipid C, for oral immunization to protect mice against genital tract chlamydial infection. Lipid C is formulated from food-grade purified and fractionated triglycerides. Bacterial shedding following vaginal challenge with Chlamydia muridarum was reduced by 50% in female mice orally immunized with the chlamydial major outer membrane protein (MOMP) formulated in Lipid C, protection equivalent to that seen in animals immunized with MOMP admixed with both cholera toxin (CT) and CpG oligodeoxynucleotides (CpG-ODN). Protection was further enhanced when MOMP, CT and CpG were all combined in the Lipid C matrix. Protection correlated with production of gamma interferon (IFN) by splenic T cells, a serum MOMP-specific IgG response and low but detectable levels of MOMP-specific IgA in vaginal lavage.

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Mucosal adjuvants are important to overcome the state of immune tolerance normally associated with mucosal delivery and to enhance adaptive immunity to often-weakly immunogenic subunit vaccine antigens. Unfortunately, adverse side effects of many experimental adjuvants limit the number of adjuvants approved for vaccination. Lipid C is a novel, non-toxic, lipid oral vaccine-delivery formulation, developed originally for oral delivery of the live Mycobacterium bovis Bacille Calmette-Guerin (BCG) vaccine. In the present study, murine models of chlamydial respiratory and genital tract infections were used to determine whether transcutaneous immunization (TCI) with Lipid C-incorporated protein antigens could elicit protective immunity at the genital and respiratory mucosae. BALB/c mice were immunized transcutaneously with Lipid C containing the chlamydial major outer membrane protein (MOMP), with and without addition of cholera toxin and CpG-ODN 1826 (CT/CpG). Both vaccine combinations induced mixed cell-mediated and mucosal antibody immune responses. Immunization with Lipid C-incorporated MOMP (Lipid C/MOMP), either alone or with CT/CpG resulted in partial protection following live challenge with Chlamydia muridarum as evidenced by a significant reduction in recoverable Chlamydia from both the genital secretions and lung tissue. Protection induced by immunization with Lipid C/MOMP alone was not further enhanced by the addition of CT/CpG. These results highlight the potential of Lipid C as a novel mucosal adjuvant capable of targeting multiple mucosal surfaces following TCI. Protection at both the respiratory and genital mucosae was achieved without the requirement for potentially toxic adjuvants, suggesting that Lipid C may provide a safe effective mucosal adjuvant for human vaccination.

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In cases involving allegations of price fixing under the former s 45A of the Trade Practices Act 1974 (Cth), it was necessary to prove that at least two parties to the arrangement or understanding at issue were “in competition with each other”. The same requirement is contained in the cartel provisions of the Competition and Consumer Act 2010 (Cth) (CCA) that replaced s 45A. The so-called “competition condition” is set out in s 44ZZRD (4) of the CCA. Where a supplier enters into vertical supply arrangements with agents or brokers, problems can arise if the supplier also has a downstream presence. At that functional level there may be a horizontal and therefore competitive dimension, and the competition condition may be satisfied. In such circumstances, great care will need to be taken in any discussions between the supplier and its downstream agents or distributors about the prices, discounts, allowances, rebates or credits that the agent or distributor may charge. Whether agents or brokers competed with their suppliers in vertical supply arrangements arose for consideration in two decisions handed down by the Federal Court in Brisbane...

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We wished to determine whether changing our centre's practice of using Acticoat instead of Silvazine as our first-line burns dressing provided a better standard of care in terms of efficacy, cost and ease of use. A retrospective cohort study was performed examining 328 Silvazine treated patients from January 2000 to June 2001 and 241 Acticoat treated patients from July 2002 to July 2003. During those periods the respective dressings were used exclusively. There was no significant difference in age, %BSA and mechanism of burn between the groups. In the Silvazine group, 25.6% of children required grafting compared to 15.4% in the Acticoat group (p=0.001). When patients requiring grafting were excluded, the time taken for re-epithelialisation in the Acticoat group (14.9 days) was significantly less than that for the Silvazine group (18.3 days), p=0.047. There were more wounds requiring long term scar management in the Silvazine group (32.6%) compared to the Acticoat group (29.5%), however this was not significant. There was only one positive blood culture in each group, indicating that both Silvazine and Acticoat are potent antimicrobial agents. The use of Acticoat as our primary burns dressing has dramatically changed our clinical practice. Inpatients are now only 18% of the total admissions, with the vast majority of patients treated on an outpatient basis. In terms of cost, Acticoat was demonstrated to be less expensive over the treatment period than Silvazine . We have concluded that Acticoat is a safe, cost-effective, efficacious dressing that reduces the time for re-epithelialisation and the requirement for grafting and long term scar management, compared to Silvazine.

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The support for typically out-of-vocabulary query terms such as names, acronyms, and foreign words is an important requirement of many speech indexing applications. However, to date many unrestricted vocabulary indexing systems have struggled to provide a balance between good detection rate and fast query speeds. This paper presents a fast and accurate unrestricted vocabulary speech indexing technique named Dynamic Match Lattice Spotting (DMLS). The proposed method augments the conventional lattice spotting technique with dynamic sequence matching, together with a number of other novel algorithmic enhancements, to obtain a system that is capable of searching hours of speech in seconds while maintaining excellent detection performance

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The use of Mahalanobis squared distance–based novelty detection in statistical damage identification has become increasingly popular in recent years. The merit of the Mahalanobis squared distance–based method is that it is simple and requires low computational effort to enable the use of a higher dimensional damage-sensitive feature, which is generally more sensitive to structural changes. Mahalanobis squared distance–based damage identification is also believed to be one of the most suitable methods for modern sensing systems such as wireless sensors. Although possessing such advantages, this method is rather strict with the input requirement as it assumes the training data to be multivariate normal, which is not always available particularly at an early monitoring stage. As a consequence, it may result in an ill-conditioned training model with erroneous novelty detection and damage identification outcomes. To date, there appears to be no study on how to systematically cope with such practical issues especially in the context of a statistical damage identification problem. To address this need, this article proposes a controlled data generation scheme, which is based upon the Monte Carlo simulation methodology with the addition of several controlling and evaluation tools to assess the condition of output data. By evaluating the convergence of the data condition indices, the proposed scheme is able to determine the optimal setups for the data generation process and subsequently avoid unnecessarily excessive data. The efficacy of this scheme is demonstrated via applications to a benchmark structure data in the field.

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Background The adoption of continuing professional development (CPD) in Australia is still relatively new [expand]. There is limited information on how Australian pharmacists have engaged with the CPD requirements for registration. Aim To explore Australian registered pharmacists’ understanding and engagement with the requirement for CPD credits for registration. Method The Pharmacy Board of Australia’s CPD requirements for registration was used as a guide to design an online survey to ascertain Australian pharmacists understanding and engagement in the acquisition of CPD credits for registration. Results A total of 278 pharmacists responded to the survey – 66% were female and 30% were male (4% did not disclose their gender). 63% of respondents felt that it would not be difficult to acquire 40 CPD credits annually; with pharmacists identifying that Group 1 activities were a preferred way of acquiring CPD credits. The majority of pharmacists (91%) believed that they knew what the current CPD requirements for general registration are and 77% felt that there has been enough guidance provided to assist them. Despite this, 26% of participants had never used self directed learning plans and 38% did not know how to undertake self-directed learning. 76% of participants were under the common misconception that CPD is synonymous with continuing education. Conclusion The majority of registered pharmacists believe they understand and can engage in the acquisition of CPD credits for registration. However, some aspects of the process was not understood. The key link of how this process aims to develop individual practice needs to be further developed within the profession.

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A critical requirement for safe autonomous navigation of a planetary rover is the ability to accurately estimate the traversability of the terrain. This work considers the problem of predicting the attitude and configuration angles of the platform from terrain representations that are often incomplete due to occlusions and sensor limitations. Using Gaussian Processes (GP) and exteroceptive data as training input, we can provide a continuous and complete representation of terrain traversability, with uncertainty in the output estimates. In this paper, we propose a novel method that focuses on exploiting the explicit correlation in vehicle attitude and configuration during operation by learning a kernel function from vehicle experience to perform GP regression. We provide an extensive experimental validation of the proposed method on a planetary rover. We show significant improvement in the accuracy of our estimation compared with results obtained using standard kernels (Squared Exponential and Neural Network), and compared to traversability estimation made over terrain models built using state-of-the-art GP techniques.