6,805 research outputs found

    Evaluation of the Outpatients consultation in East Kent

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    CHSS undertook to support Kent and Medway Commissioning Support (KMCS: acting on behalf of East Kent Hospitals University NHS Foundation Trust and NHS Canterbury and Coastal Clinical Commissioning Group) in undertaking an independent analysis of a consultation on Outpatient services in East Kent. The aim of the consultation was to gain opinions from the public of a proposed Outpatient Clinical Strategy that intends to improve local access to, and facilities for, Outpatient services, and to offer a wider range of services on each site. CHSS advised on the survey, evaluated the consultation process, ran focus groups and carried out quantitative and qualitative analysis of the responses gathered during the consultation period (9th December 2013 to 17th March, 2014 - originally 9th March but period was extended). Ethical approval was not required for a consultation process, but ethical principles have been adhered to regarding data confidentiality and informed consent for the focus groups

    How organic agriculture contributes to sustainable development

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    Organic agriculture can contribute to meaningful socio-economic and ecologically sustainable development, especially in poorer countries. This is due on the one hand to the application of organic principles, which means efficient management of local resources (e.g. local seed varieties, manure, etc.) and therefore costeffectiveness. On the other hand, the market for organic products – at local and international level – has tremendous growth prospects and offers creative producers and exporters in the South excellent opportunities to improve their income and living conditions. Establishing whether organic agriculture is a viable alternative for a particular holding needs to be carried out on a case-by-case basis. What potential does organic agriculture have for solving the problems of hunger and poverty? What can organic agriculture contribute to achieving socially and ecologically sustainable development in poor countries? Central to organic agriculture are promotion of soil fertility, biodiversity conservation (e.g. native flora and fauna), production methods adapted to the locality and avoidance of chemical inputs. These methods, together with cultivation of a diverse range of crops, stabilize the delicate ecosystems in the tropics and reduce drought sensitivity and pest infestation. Organic agriculture reduces the risk of yield failure, stabilizes returns and improves the quality of life of small farmers’ families. To date, no systematic attempt has been made to evaluate the benefits and effects of each system. In 2006, FiBL therefore launched a network of long-term system comparisons in the tropics that aims at examining the contribution of organic agriculture to food security, poverty alleviation and environmental conservation. The article presents this discussion based on experience gained in practice and encompasses the following hypotheses: 1. Organic agriculture is sustainable and diverse; 2. Organic farmers conserve resources; 3. Organic farmers produce more, better-quality products and achieve higher incomes; 4. Organic products provide market access and create added value; 5. Organic agriculture increases self-confidence and mobilizes new partnerships

    Work integrated learning

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    In the coming decades, environmental, cultural, economic and social changes will have a profound global impact (Hajkowicz, Cook & Littleboy, 2012). The higher education sector is under pressure to transform the way it operates in response to these forces (Ernst & Young, 2012). The emerging knowledge economy, progressing technological capabilities, increasing global mobility, and growing demands for economic productivity, require a proficient, innovative and competitive work force. Education is perceived as a key mechanism for preparing the population to meet the global demands of the 21st century. Work integrated learning (WIL) is internationally recognized and nationally endorsed as a strategy for ensuring students are exposed to authentic learning experiences with the opportunity to apply theoretical concepts to practice-based tasks, ultimately enhancing graduate employability (Knight & Yorke, 2004; Peach & Matthews, 2011)

    Prismatic to asbestiform offretite from Northern Italy. Occurrence, morphology and crystal-chemistry of a new potentially hazardous zeolite

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    A multi-methodological approach, based upon field investigation, morphological characterization, chemical analysis and structure refinement was applied to different samples of fibrous offretite, a new potentially hazardous zeolite recently discovered in northern Italy. Their morphology ranges from stocky-prismatic to asbestiform. All the investigated fibers may be considered as "inhalable", and they are well within the range of the "more carcinogenic fibers" regarding diameter. As regards the length, the main mode observed in the asbestiform samples is 20-25 mu m, and similar to 93% of the measured fibers are >5 mu m and may be significantly associated with carcinogenesis also in terms of lengths. The chemical-structural features of the investigated fibers are comparable: the extra-framework cations K+, Mg2+ and Ca2+ are present in all samples in similar proportions, and refined cell parameters are similar among the samples. Offretite occurs in 60% of the investigated sites, with an estimated amount up to 75 vol % of the associated minerals. The presence of this mineral could be of concern for risk to human health, especially if one considers the vast number of quarries and mining-related activities that are operating in the zeolite host rocks

    The taeniasis-cysticercosis complex in Cameroon

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    How Many Pairwise Preferences Do We Need to Rank A Graph Consistently?

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    We consider the problem of optimal recovery of true ranking of nn items from a randomly chosen subset of their pairwise preferences. It is well known that without any further assumption, one requires a sample size of Ω(n2)\Omega(n^2) for the purpose. We analyze the problem with an additional structure of relational graph G([n],E)G([n],E) over the nn items added with an assumption of \emph{locality}: Neighboring items are similar in their rankings. Noting the preferential nature of the data, we choose to embed not the graph, but, its \emph{strong product} to capture the pairwise node relationships. Furthermore, unlike existing literature that uses Laplacian embedding for graph based learning problems, we use a richer class of graph embeddings---\emph{orthonormal representations}---that includes (normalized) Laplacian as its special case. Our proposed algorithm, {\it Pref-Rank}, predicts the underlying ranking using an SVM based approach over the chosen embedding of the product graph, and is the first to provide \emph{statistical consistency} on two ranking losses: \emph{Kendall's tau} and \emph{Spearman's footrule}, with a required sample complexity of O(n2χ(Gˉ))23O(n^2 \chi(\bar{G}))^{\frac{2}{3}} pairs, χ(Gˉ)\chi(\bar{G}) being the \emph{chromatic number} of the complement graph Gˉ\bar{G}. Clearly, our sample complexity is smaller for dense graphs, with χ(Gˉ)\chi(\bar G) characterizing the degree of node connectivity, which is also intuitive due to the locality assumption e.g. O(n43)O(n^\frac{4}{3}) for union of kk-cliques, or O(n53)O(n^\frac{5}{3}) for random and power law graphs etc.---a quantity much smaller than the fundamental limit of Ω(n2)\Omega(n^2) for large nn. This, for the first time, relates ranking complexity to structural properties of the graph. We also report experimental evaluations on different synthetic and real datasets, where our algorithm is shown to outperform the state-of-the-art methods.Comment: In Thirty-Third AAAI Conference on Artificial Intelligence, 201

    Land redistribution, tenure insecurity, and intensity of production: a study of farm households in southern Ethiopia

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    "This study analyzes the determinants of land tenure insecurity and its impact on intensity of use of purchased farm inputs among households in Southern Ethiopia. Seventeen percent of the households stated that they were tenure insecure. The feeling of tenure insecurity could be caused by the land redistribution policy in Ethiopia where household size has been the main criterion used for land allocation after the land reform in 1975. This would imply that land rich households should be more tenure insecure. Alternatively, the local power structure may be strong enough to counter this and cause the land rich, who are also likely to be influential, to be able to protect their land rights. The analysis revealed that, in the overall sample, relative farm size was not significantly correlated with tenure insecurity. When testing for each site, however, we found that in four of the sites per capita farm size was positively associated with tenure insecurity, while in five other sites it had a significant negative association. This may be due to local historical, cultural, and demographic differences giving way to differences in the effects of the redistribution policy and the local power structure on tenure insecurity. We assessed the impact of tenure insecurity on the intensity of use of purchased farm inputs. The tenure insecurity variable was insignificant. Farmers in areas with a positive correlation between farm size and tenure insecurity were more likely to purchase farm inputs. Larger farms were more likely to use purchased inputs, but this effect was lower in areas with a positive correlation between farm size and tenure insecurity. Poverty and subsistence constraints may explain this absence of higher intensity of use of purchased inputs on small farms. By contrast, the land redistribution policy may have improved small farms' access to purchased farm inputs. (text of Abstract)Land tenure Ethiopia., Land use Ethiopia., Gender,
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