858 resultados para Top-N recommendations


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OBJECTIVE: To review and compare the mild traumatic brain injury (mTBI) vignettes used in postconcussion syndrome (PCS) research, and to develop 3 new vignettes. METHOD: The new vignettes were devised using World Health Organization (WHO) mTBI diagnostic criteria [1]. Each vignette depicted a very mild (VM), mild (M), or severe (S) brain injury. Expert review (N = 27) and readability analysis was used to validate the new vignettes and compare them to 5 existing vignettes. RESULTS: The response rate was 44%. The M vignette and existing vignettes were rated as depicting a mTBI; however, the fit-to-criteria of these vignettes differed significantly. The fit-to-criteria of the M vignette was as good as that of 3 existing vignettes and significantly better than 2 other vignettes. As expected, the VM and S vignettes were a poor fit-to-criteria. CONCLUSIONS: These new vignettes will assist PCS researchers to test the limits of important etiology factors by varying the severity of depicted injuries.

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Polymerase chain reaction (PCR) was developed for the detection of Banana bunchy top virus (BBTV) at maximum after 210 min and at minimum after 90 min using Pc-1 and Pc-2, respectively. PCR detection of BBTV in crude sap indicated that the freezing of banana tissue in liquid nitrogen (LN2) before extraction was more effective than using sand as the extraction technique. BBTV was also detected using PCR assay in 69 healthy and diseased plants using Na-PO4 buffer containing 1 % SDS. PCR detection of BBTV in nucleic acid extracts using seven different extraction buffers to adapt the use of PCR in routine detection in the field was studied. Results proved that BBTV was detected with high sensitivity in nucleic acid extracts more than in infectious sap. The results also suggested the common aetiology for the BBTV by the PCR reactions of BBTV in nucleic acid extracts from Australia, Burundi, Egypt, France, Gabon, Philippines and Taiwan. Results also proved a positive relation between the Egyptian-BBTV isolate and abaca bunchy top isolate from the Philippines, but there no relation was found with the Cucumber mosaic cucumovirus (CMV) isolates from Egypt and Philippines and Banana bract mosaic virus (BBMV) were found.

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The regulation of overweight trucks is of increasing importance. Quickly growing heavy vehicle volumes over-proportionally contribute to roadway damage. Raising maintenance costs and compromised road safety are also becoming a major concern to managing agencies. Minimizing pavement wear is done by regulating overloaded trucks on major highways at weigh stations. However, due to lengthy inspections and insufficient capacities, weigh stations tend to be inefficient. New practices, using Radio Frequency Identification (RFID) transponders and weigh-in-motion technologies, called preclearance programs, have been set up in a number of countries. The primary aim of this study is to investigate the current issues with regard to the implementation and operation of the preclearance program. The State of Queensland, Australia, is used as a case study. The investigation focuses on three aspects; the first emphasizes on identifying the need for improvement of the current regulation programs in Queensland. Second, the operators of existing preclearance programs are interviewed for their lessons-learned and the marketing strategies used for promoting their programs. The trucking companies in Queensland are interviewed for their experiences with the current weighing practices and attitudes toward the potential preclearance system. Finally, the estimated benefit of the preclearance program deployment in Queensland is analyzed. The penultimate part brings the former four parts together and provides the study findings and recommendations. The framework and study findings could be valuable inputs for other roadway agencies considering a similar preclearance program or looking to promote their existing ones.

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The role of Information and Communications Technology (ICT) has been identified as an important factor by the United Nations in achieving the millennium development goals (UNAPCICT, 2012)1. The potential for ICT has been identified as a means to reducing poverty, creating global communities by providing access to the internet and mobile networks to rural communities, improving education services, medical services, and information availability. As of today, significant amounts of funds have been invested by the governments and donor organizations in ‘Information and Communication Technologies for Development (ICT4D)’projects by establishing telecenters, e-villages, e-health, electronic and mobile banking, and egovernment systems for citizens in general, and more specifically, rural communities to bridge the digital divide (Heeks & Molla, 2009).

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BACKGROUND: Numerous strategies are available to prevent surgical site infections in hip arthroplasty, but there is no consensus on which might be the best. This study examined infection prevention strategies currently recommended for patients undergoing hip arthroplasty. METHODS: Four clinical guidelines on infection prevention/orthopedics were reviewed. Infection control practitioners, infectious disease physicians, and orthopedic surgeons were consulted through structured interviews and an online survey. Strategies were classified as "highly important" if they were recommended by at least one guideline and ranked as significantly or critically important by >/=75% of the experts. RESULTS: The guideline review yielded 28 infection prevention measures, with 7 identified by experts as being highly important in this context: antibiotic prophylaxis, antiseptic skin preparation of patients, hand/forearm antisepsis by surgical staff, sterile gowns/surgical attire, ultraclean/laminar air operating theatres, antibiotic-impregnated cement, and surveillance. Controversial measures included antibiotic-impregnated cement and, considering recent literature, laminar air operating theatres. CONCLUSIONS: Some of these measures may already be accepted as routine clinical practice, whereas others are controversial. Whether these practices should be continued for this patient group will be informed by modeling the cost-effectiveness of infection prevention strategies. This will allow predictions of long-term health and cost outcomes and thus inform decisions on how to best use scarce health care resources for infection control.

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Currently, recommender systems (RS) have been widely applied in many commercial e-commerce sites to help users deal with the information overload problem. Recommender systems provide personalized recommendations to users and, thus, help in making good decisions about which product to buy from the vast amount of product choices. Many of the current recommender systems are developed for simple and frequently purchased products like books and videos, by using collaborative-filtering and content-based approaches. These approaches are not directly applicable for recommending infrequently purchased products such as cars and houses as it is difficult to collect a large number of ratings data from users for such products. Many of the ecommerce sites for infrequently purchased products are still using basic search-based techniques whereby the products that match with the attributes given in the target user’s query are retrieved and recommended. However, search-based recommenders cannot provide personalized recommendations. For different users, the recommendations will be the same if they provide the same query regardless of any difference in their interest. In this article, a simple user profiling approach is proposed to generate user’s preferences to product attributes (i.e., user profiles) based on user product click stream data. The user profiles can be used to find similarminded users (i.e., neighbours) accurately. Two recommendation approaches are proposed, namely Round- Robin fusion algorithm (CFRRobin) and Collaborative Filtering-based Aggregated Query algorithm (CFAgQuery), to generate personalized recommendations based on the user profiles. Instead of using the target user’s query to search for products as normal search based systems do, the CFRRobin technique uses the attributes of the products in which the target user’s neighbours have shown interest as queries to retrieve relevant products, and then recommends to the target user a list of products by merging and ranking the returned products using the Round Robin method. The CFAgQuery technique uses the attributes of the products that the user’s neighbours have shown interest in to derive an aggregated query, which is then used to retrieve products to recommend to the target user. Experiments conducted on a real e-commerce dataset show that both the proposed techniques CFRRobin and CFAgQuery perform better than the standard Collaborative Filtering and the Basic Search approaches, which are widely applied by the current e-commerce applications.

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In early April 1998, the Centre for Disease Control in Darwin was notified of a possible case of dengue which appeared to have been acquired in the Northern Territory. Because dengue is not endemic to the Northern Territory, locally acquired infection has significant public health implications, particularly for vector identification and control to limit the spread of infection. Dengue IgM serology was positive on two occasions, but the illness was eventually presumptively identified as Kokobera infection. This case illustrates the complexity of interpreting flavivirus serology. Determining the cause of infection requires consideration of the clinical illness, the incubation period, the laboratory results and vector presence. Waiting for confirmation of results, before the institution of the public health measures necessary for a true case of dengue, was ultimately justified in this case. This is a valid approach in the Northern Territory, but may not be applicable to areas of Australia with established vectors for dengue. Commun Dis Intell 1998;22:105-107.

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In early April 1998 the Centre for Disease Control (CDC) in Darwin was notified of a case with positive dengue serology. The illness appeared to have been acquired in the Northern Territory (NT). Because dengue is not endemic to the NT, locally acquired infection has significant public health implications, particularly for vector identification and control to limit the spread of infection. Dengue IgM serology was positive on two occasions but the illness was eventually presumptively identified as Kokobera infection. This case illustrates some important points about serology. The interpretation of flavivirus serology is complex and can be misleading, despite recent improvements. The best method of determining the cause of infection is still attempting to reconcile clinical illness details with incubation times and vector presence, as well as laboratory results. This approach ultimately justified the initial period of waiting for confirmatory results in this case, before the institution of public health measures necessary for a true case of dengue.

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Early determination of immune status is essential for the prevention and/or amelioration of disease following exposure to chickenpox. This is of particular significance for pregnant women because of the additional risks to the foetus or newborn.1 To determine the usefulness of a self-reported history of chickenpox in adult women in the Top End, we compared it with serological evidence of immunity.

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In this paper we present a novel place recognition algorithm inspired by recent discoveries in human visual neuroscience. The algorithm combines intolerant but fast low resolution whole image matching with highly tolerant, sub-image patch matching processes. The approach does not require prior training and works on single images (although we use a cohort normalization score to exploit temporal frame information), alleviating the need for either a velocity signal or image sequence, differentiating it from current state of the art methods. We demonstrate the algorithm on the challenging Alderley sunny day – rainy night dataset, which has only been previously solved by integrating over 320 frame long image sequences. The system is able to achieve 21.24% recall at 100% precision, matching drastically different day and night-time images of places while successfully rejecting match hypotheses between highly aliased images of different places. The results provide a new benchmark for single image, condition-invariant place recognition.

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Point-to-point speed cameras are a relatively new and innovative technological approach to speed enforcement that is increasingly been used in a number of highly motorised countries. Previous research has provided evidence of the positive impact of this approach on vehicle speeds and crash rates, as well as additional traffic related outcomes such as vehicle emissions and traffic flow. This paper reports on the conclusions and recommendations of a large-scale project involving extensive consultation with international and domestic (Australian) stakeholders to explore the technological, operational, and legislative characteristics associated with the technology. More specifically, this paper provides a number of recommendations for better practice regarding the implementation of point-to-point speed enforcement in the Australian and New Zealand context. The broader implications of the research, as well as directions for future research, are also discussed.

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This paper describes a new method of indexing and searching large binary signature collections to efficiently find similar signatures, addressing the scalability problem in signature search. Signatures offer efficient computation with acceptable measure of similarity in numerous applications. However, performing a complete search with a given search argument (a signature) requires a Hamming distance calculation against every signature in the collection. This quickly becomes excessive when dealing with large collections, presenting issues of scalability that limit their applicability. Our method efficiently finds similar signatures in very large collections, trading memory use and precision for greatly improved search speed. Experimental results demonstrate that our approach is capable of finding a set of nearest signatures to a given search argument with a high degree of speed and fidelity.

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This document calls on governments, civil society and in particular educators to prioritize processes that develop and strengthen education for sustainable development (ESD). The world has changed since the UN World Summit on Sustainable Development in 2002. While there have been significant initiatives and progress has been made, the scale of effort is still overshadowed by the scope of the problem. For instance, human-induced climate change is creating a long-lasting ecological crisis with severe economic and social consequences. Recently the global economic crisis has drawn attention to the problem of borrowing from resources that do not exist. Poverty, conflict and social injustice remain critical issues on the global agenda. A renewed sense of commitment to the UN Decade of Education for Sustainable Development 2005-2014 is required. Formal, informal and non-formal education and learning processes for sustainability must be strengthened and prioritized. This document supports and builds on the concepts and values that are put forward within UNESCO’s International Implementation Scheme for Education for Sustainable Development and in the Earth Charter. The purpose of ESD is to reorient education in order to contribute to a sustainable future for the common good of present and future generations. ESD recognizes the interdependence of environmental, social and economic perspectives and the dependence of humanity on a healthy biosphere. Participation and involvement are necessary components of ESD, with an emphasis on empowerment and agency for active citizenship, human rights and societal change. Re-orientation is necessary at all levels and in all phases of education, and encompasses community learning, thus making ESD a wider process challenging the form and purpose of education itself.

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Contemporary nutrition policies and plans call for focussing efforts to improve nutrition through a closer connection with food and the everyday practicalities of how people live and eat. Various words have been used to articulate what this might mean in practice. More recently, the term “food literacy” has emerged to explain this gap between the policy aims the (in)ability of people to know, understand and use food to meet nutrition recommendations. Despite its increasing use, there is no common understanding of this term or its components. Once established, food literacy could be measured in order to examine its association with nutritional outcomes. A Delphi study of 43 Australian food experts from diverse sectors and settings explored their understanding of the term “food literacy”, the likely components and possible relationship with nutrition. The three round Delphi study began with a semi-structured telephone interview and was followed by two online surveys. Constructivist grounded theory was used to analyse data, from which a conceptual model of the relationship between food literacy and nutrition was developed. The model was then tested and refined following a phenomenological study of 37 young people aged 16-25 years who were responsible for feeding themselves. They were interviewed about their food intake, day-to-day food decision making, the knowledge and skills used and their perceptions of someone who is “good with food”. Analysis from the Delphi study identified, eighty components of food literacy and these were grouped into eight domains: 1)access, 2)planning and management, 3)selection, 4)knowing where food comes from, 5)preparation, 6)eating, 7)nutrition and 8)food related language. When these were compared to results of the Young People’s study it was found that while specific components of food literacy were largely contextual, the importance of all eight domains continued to be relevant. The results of these qualitative studies have set the boundaries and scope of meaning of food literacy and will be used to inform the development of measurable variables to be tested in a quantitative cross-sectional study. This prospective study will examine the relationship between food literacy and nutrition. This research is useful in guiding government strategy and investment, and informing the planning, implementation and evaluation of interventions by practitioners.