17,334 research outputs found

    The Popular Appeal of the Millennium Development Goals in Wealthy Countries: the Australian case

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    The Millennium Development Goals were announced to the world in the year 2000. Handed down by the United Nations, the Millennium Development Goals promised a new way forward for addressing global poverty on an international scale.A key ingredient for the achievement of the Millennium Development Goals was an across-the-board increase of modest scale in the level of development aid contributed by wealthy countries. Yet, while having signed up for as much, there has been a strong tendency among the rich countries towards non-compliance, accompanied by a generalised failure to offer accounts for as much (i.e. provide reassurances). It is my concern here to look at an important factor that might help in going some way towards explaining the apparent ‘bad faith' of rich countries: the state of public sentiment around global poverty. A key line of inquiry I wish to explore here is the condition of ambivalence among the citizens and residents of wealthy countries to social problems beyond national border.It is my contention that the active indifference of the rich nation-state towards global poverty occurs under conditions where there exists a complementary blasé attitudinal structure amongst its peoples. Using data from a 2005 national sample survey, this study provides information from Australia about the state of public dispositions around the Millennium Development Goals and global social problems.

    Which future for the Hurunui? Combining choice analysis with stakeholder consultation

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    The future of the Hurunui River and its catchment has been hotly contested between those who seek to store and/or divert water from the river in order to increase agricultural production and those who would like to see the river undeveloped and the quality of natural resources in the river and catchment improved. The Canterbury Regional Council wished to develop an approach to manage catchment nutrient loads across the region in order to achieve the objectives of its Natural Resources Regional Plan (NRRP) for water quality and aquatic habitats. Our approach, combining stakeholder consultation with choice analysis, was developed and tested in the Hurunui catchment in 2010-2011. The policy objective of the choice experiment was to describe and quantify the preferences of Canterbury Region residents with respect to existing conditions (the status quo) and potential future land use and water quality scenarios for the catchment. It was envisaged that this quantitative information on preferences across the region would be used by policy makers at the same time as they considered the outcomes of the stakeholder deliberative process. At the conclusion of the consultation process there was ‘general acceptance’ of a future development strategy for the Hurunui catchment that would maintain water quality in the main river at 2005-2009 levels while improving the tributaries to 1990-1995 water quality. Results from the choice experiment are broadly supportive of this approach. Canterbury region residents would require substantial compensation (mean 244244-315 per household per year) before they would accept a decline in water quality in the main river or in the tributaries. Willingness to pay for improvements in the main river is lower with a mean of 2525-33 per house hold per year

    Automatic Focal Cortical Dysplasiav(FCD) detection by Magnetic Resonance Image (MRI)

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    Nowadays, approximately 50 million people are suffering from epilepsy all over the world, of whom 30% have Focal Cortical Dysplasia (FCD), a malformation that occurs during brain cortical development. In clinical treatments, FCD lesions often have to be removed by resective surgery. Magnetic Resonance Imaging (MRI) is the most important clinical tool for identifying FCD lesions, and has allowed the diagnostic detection of FCD lesions in an increasing number of patients, leading to increased rates of successful resective surgery. However, detection of FCD lesions is still a challenging task because of various factors such as extremely subtle FCD malformations, complex convolutions of human cerebral cortex and partial volume effect due to imaging. Previous works develop MRI features of FCD lesions to highlight FCD regions. However, these MRI features also exist in Healthy Controls. We developed a new MRI features of FCD lesions, and use a multi-feature based method to perform automatic FCD detection. As a results, we improve the similarity index than the previous method. Sensitivity and specificity are also improved by proposed work. The proposed work can be a useful clinical tool to assist FCD detection

    The interpretation of brain natriuretic peptide in critical care patients; will it ever be useful?

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    The measurement of B-type natriuretic peptide (BNP) is recommended for the diagnosis of decompensated heart failure, the prognosis of chronic heart failure is worse if BNP is increased and studies suggest that BNP is useful to guide therapy. A study by Di Somma and colleagues adds to the body of evidence showing that patients with a marked decrease in BNP concentrations during their hospital admission are less likely to be readmitted with a further adverse cardiac event than patients in whom BNP fails to decrease. However, the wider interpretation of BNP concentrations in critically ill patients with other conditions remains uncertain

    A computational efficient external energy for active contour segmentation using edge propagation

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    Active contours or snakes are widely used for segmentation and tracking. We propose a new active contour model, which converges reliably even when the initialization is far from the object of interest. The proposed segmentation technique uses an external energy function where the energy slowly decreases in the vicinity of an edge. This new energy function is calculated using an efficient dual scan line algorithm. The proposed energy function is tested on computational speed, its effect on the convergence speed of the active contour and the segmentation result. The proposed method gets similar segmentation results as the gradient vector flow active contours, but the energy function needs much less time to calculate

    Computational efficient segmentation of cell nuclei in 2D and 3D fluorescent micrographs

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    This paper proposes a new segmentation technique developed for the segmentation of cell nuclei in both 2D and 3D fluorescent micrographs. The proposed method can deal with both blurred edges as with touching nuclei. Using a dual scan line algorithm its both memory as computational efficient, making it interesting for the analysis of images coming from high throughput systems or the analysis of 3D microscopic images. Experiments show good results, i.e. recall of over 0.98

    Estimated glomerular filtration rate correlates poorly with four-hour creatinine clearance in critically ill patients with acute kidney injury.

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    Introduction. RIFLE and AKIN provide a standardised classification of acute kidney injury (AKI), but their categorical rather than continuous nature restricts their use to a research tool. A more accurate real-time description of renal function in AKI is needed, and some published data suggest that equations based on serum creatinine that estimate glomerular filtration rate (eGFR) can provide this. In addition, incorporating serum cystatin C concentration into estimates of GFR may improve their accuracy, but no eGFR equations are validated in critically ill patients with AKI. Aim. This study tests whether creatinine or cystatin-C-based eGFR equations, used in patients with CKD, offer an accurate representation of 4-hour creatinine clearance (4CrCl) in critically ill patients with AKI. Methods. Fifty-one critically ill patients with AKI were recruited. Thirty-seven met inclusion criteria, and the performance of eGFR equations was compared to 4CrCl. Results. eGFR equations were better than creatinine alone at predicting 4CrCl. Adding cystatin C to estimates did not improve the bias or add accuracy. The MDRD 7 eGFR had the best combination of correlation, bias, percentage error and accuracy. None were near acceptable standards quoted in patients with chronic kidney disease (CKD). Conclusions. eGFR equations are not sufficiently accurate for use in critically ill patients with AKI. Incorporating serum cystatin C does not improve estimates. eGFR should not be used to describe renal function in patients with AKI. Standards of accuracy for validating eGFR need to be set

    Wavelet based joint denoising of depth and luminance images

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    In this paper we present a new method for joint denoising of depth and luminance images produced by time-of-flight camera. Here we assume that the sequence does not contain outlier points which can be present in the depth images. Our method first performs estimation of noise and signal covariance matrices and then performs vector denoising. Two versions of the algorithm are presented, depending on the method used for the classification of the image contexts. Denoising results are compared with the ground truth images obtained by averaging of the multiple frames of the still scene
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