71,827 research outputs found

    Socio-economic determinants of selected dietary indicators in British pre-school children

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    Objectives: To assess the proportion of pre-school children meeting reference nutrient intakes (RNIs) and recommendations for daily intakes of iron, zinc, vitamins C and A, and energy from non-milk extrinsic sugars. To assess whether meeting these five dietary requirements was related to a series of socio-economic variables.Design: Secondary analysis of data on daily consumption of foods and drinks from the National Diet and Nutrition Survey (NDNS) of children aged 1.5-4.5 years based on 4-day weighed intakes.Subjects: One thousand six hundred and seventy-five British pre-school children aged 1.5-4.5 years in 1993.Results: Only 1% of children met all five RNIs/recommendations examined; 76% met only two or fewer. Very few children met the recommendations for intakes of zinc (aged over four years) and non-milk extrinsic sugars (all ages). The number of RNIs/ recommendations met was related to measures of socio-economic class. Children from families in Scotland and the North of England, who had a manual head of household and whose mothers had fewest qualifications, met the least number of RNIs/recommendations.Conclusions: Very few pre-school children have diets that meet all the RNIs and recommendations for iron, zinc, vitamins C and A, and energy from non-milk extrinsic sugars. Dietary adequacy with respect to these five parameters is related to socio-economic factors. The findings emphasise the need for a range of public health policies that focus upon the social and economic determinants of food choice within families

    The influence of dietary carbohydrate and fat on kidney calcification and the urinary excretion of N-acetyl-beta-glucosaminidase (EC 3.2.1.30).

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    1. Male Sprague-Dawley rats were fed on diets containing either sucrose or starch as the carbohydrate component. In one experiment, the diets also contained 200 g either butter or polyunsaturated margarine/kg; in a second experiment, the diets contained less fat in the form of 20 g maize oil/kg. 2. Over a period of 11 months assays were made in the urine of several ions and of the activity of the enzyme N-acetyl-β-glucosaminidase (β-2-acetamido-2-deoxy-β-D glucoside acetamidodeoxygluco-hydrolase; EC 3.2.1.30); at 13 months, examination was made of some of the abdominal viscera, especially of the kidneys. 3. In rats fed on the higher amount of fat, dietary sucrose produced a higher activity of the enzyme than did dietary starch, and a greater excretion of inorganic phosphate. 4. With both the higher and lower amounts of dietary fat, sucrose led to an increase in the weight of the liver and of the kidneys, and an increase in the concentration of calcium and of phosphate in kidney tissue. With the higher amount of fat, sucrose also produced an increase in the concentration of magnesium in the kidney. There was no difference in the concentration of any of the ions assayed in the plasma or, apart from inorganic phosphate, in the urine. 5. The kidneys of the sucrose-fed rats showed nephrocalcinosis, mostly in the cortico-medullary region, and basophilic deposits in the tubules. Attention is drawn to this unusual occurrence of nephrocalcinosis in male rats

    Parameterized Algorithms for Graph Partitioning Problems

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    We study a broad class of graph partitioning problems, where each problem is specified by a graph G=(V,E)G=(V,E), and parameters kk and pp. We seek a subset U⊆VU\subseteq V of size kk, such that α1m1+α2m2\alpha_1m_1 + \alpha_2m_2 is at most (or at least) pp, where α1,α2∈R\alpha_1,\alpha_2\in\mathbb{R} are constants defining the problem, and m1,m2m_1, m_2 are the cardinalities of the edge sets having both endpoints, and exactly one endpoint, in UU, respectively. This class of fixed cardinality graph partitioning problems (FGPP) encompasses Max (k,n−k)(k,n-k)-Cut, Min kk-Vertex Cover, kk-Densest Subgraph, and kk-Sparsest Subgraph. Our main result is an O∗(4k+o(k)Δk)O^*(4^{k+o(k)}\Delta^k) algorithm for any problem in this class, where Δ≥1\Delta \geq 1 is the maximum degree in the input graph. This resolves an open question posed by Bonnet et al. [IPEC 2013]. We obtain faster algorithms for certain subclasses of FGPPs, parameterized by pp, or by (k+p)(k+p). In particular, we give an O∗(4p+o(p))O^*(4^{p+o(p)}) time algorithm for Max (k,n−k)(k,n-k)-Cut, thus improving significantly the best known O∗(pp)O^*(p^p) time algorithm

    Change detection of bare areas in the Xolobeni region, South Africa using Landsat NDVI.

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    Identification and protection of areas that are vulnerable to erosion is essential for the conservation of the sensitive wetlands and estuarine ecosystems along the Xolobeni coastal strip. The forecasting of these erosion susceptible areas requires an understanding of the inter-relationships of the critical factors that have influenced erosion potential over time. Vegetation and bare areas are some of the contributing factors that have influenced erosion at Xolobeni. This study used remote sensing as a tool to provide some information on the inter-relationship between vegetated classes and bare areas. Normalised Difference Vegetation Index (NDVI) data derived from multi-temporal Landsat 5 imagery has formed the baseline information for this study. A density slicing approach was adopted to classify the region into four vegetation structure classes of predominant land cover types. Post classification change detection data has provided an understanding of the relative susceptibility of the different vegetated classes to being degraded to bare areas. The results suggest that poorly vegetated regions were most susceptible to further degradation and an elevated susceptibility to erosion. On the other hand, moderately and densely vegetated regions were less susceptible to land degradation. The information can be used to identify measures to mitigate the effects of land degradation in vulnerable areas

    Resolving the personalization-privacy dilemma: theory and implications of a privacy-preserving contract

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    Working papers seriesPersonalization is an integral part of e-commerce strategy today. A unique feature of personalization is that it requires users to provide a certain amount of personal information to the service provider, thus giving rise to an interesting dilemma in that consumers cannot enjoy more personalized services without sacrificing more privacy. In this paper, we propose a mechanism that allows an online personalization vendor to provide proper incentives for consumers to share information, while protecting their privacy at the same time. The proposed solution not only enables consumers and the firm to engage in an otherwise unviable market, but it also allows the firm to implement an incentive-compatible menu that serves all consumers regardless of their privacy sensitivity. Further, we demonstrate that a minimum privacy-preservation policy is an effective device for protecting consumers’ online privacy, and that it outperforms restricting vendors’ ability in collecting customer information. Our proposed mechanism is of theoretical and practical importance: By transforming the compensation schedule (privacy preservation) into a set-compliment device to the production variable, our approach offers an alternative to the reliance on external transfer, thus eradicating a major constraint confronted by traditional mechanism design. Practically, our research proposes a realistic, easily-implementable solution to the fervent calls for endowing consumers with greater control over their online privacy. Further, it offers important policy guidelines to the regulator on not only what devices can be applied in governing the information practice of online vendors, but also exactly how social-efficiency can be enhanced.preprin

    Generating random permutations

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