1,237 research outputs found

    Blue frontiers: managing the environmental costs of aquaculture

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    The report begins with an overview of the current status of world aquaculture. It then goes on to describe an approach for estimating the current combined biophysical resource demands of aquaculture for producer countries and regions. Following a comparison of these results with those available for other animal food production sectors the report then examines the consequences of likely future trends in production on the environmental impacts of aquaculture. Finally, the policy implications of the reportÆs findings are discussed along with the research agenda that should be pursued to meet the challenge of sustainable food production.Aquaculture, Aquaculture systems, Life cycle analysis, Environmental impact, Resource management, Aquaculture statistics, Sustainability

    Sierra Leone aquaculture assessment with special emphasis on Tonkolili and Bombali districts

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    This assessment set out to investigate why fish farming has spread in Tonkolili District yet been poorly adopted in neighboring Bombali District. The purpose was to analyze what was working in Tonkolili but not in Bombali and then extrapolate this beyond Tonkolili. The current study aims to consolidate the most recent FAO study and map out pond distribution in Tonkolili, the most popular aquaculture development district in Sierra Leone, while also trying to make sense of this distribution. It also tries to update existing GIS models for aquaculture site suitability, particularly Tonkolili, with a view to identifying the opportunities and challenges of developing aquaculture in the country

    Characterization of metabolites in infiltrating gliomas using ex vivo &supl;H high-resolution magic angle spinning spectroscopy.

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    Gliomas are routinely graded according to histopathological criteria established by the World Health Organization. Although this classification can be used to understand some of the variance in the clinical outcome of patients, there is still substantial heterogeneity within and between lesions of the same grade. This study evaluated image-guided tissue samples acquired from a large cohort of patients presenting with either new or recurrent gliomas of grades II-IV using ex vivo proton high-resolution magic angle spinning spectroscopy. The quantification of metabolite levels revealed several discrete profiles associated with primary glioma subtypes, as well as secondary subtypes that had undergone transformation to a higher grade at the time of recurrence. Statistical modeling further demonstrated that these metabolomic profiles could be differentially classified with respect to pathological grading and inter-grade conversions. Importantly, the myo-inositol to total choline index allowed for a separation of recurrent low-grade gliomas on different pathological trajectories, the heightened ratio of phosphocholine to glycerophosphocholine uniformly characterized several forms of glioblastoma multiforme, and the onco-metabolite D-2-hydroxyglutarate was shown to help distinguish secondary from primary grade IV glioma, as well as grade II and III from grade IV glioma. These data provide evidence that metabolite levels are of interest in the assessment of both intra-grade and intra-lesional malignancy. Such information could be used to enhance the diagnostic specificity of in vivo spectroscopy and to aid in the selection of the most appropriate therapy for individual patients

    Phase Coherence and Control of Stored Photonic Information

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    We report the demonstration of phase coherence and control for the recently developed "light storage" technique. Specifically, we use a pulsed magnetic field to vary the phase of atomic spin excitations which result from the deceleration and storing of a light pulse in warm Rb vapor. We then convert the spin excitations back into light and detect the resultant phase shift in an optical interferometric measurement. The coherent storage of photon states in matter is essential for the practical realization of many basic concepts in quantum information processing.Comment: 5 pages, 3 figures. Submitted to Phys. Rev. Let

    Transformation of in-plane ρ(T)\rho (T) in YBa2Cu3O7δYBa_{2}Cu_{3}O_{7-\delta} at fixed oxygen content

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    This paper reveals the origin of variation in the magnitude and temperature dependence of the normal state resistivity frequently observed in different YBCO single crystal or thin film samples with the same TcT_{c}. We investigated temperature dependence of resistivity in YBa2Cu3O7δYBa_{2}Cu_{3}O_{7-\delta} thin films with 7- δ=6.95\delta = 6.95 and 6.90, which were subjected to annealing in argon at 400-420 K (120140oC120-140^{o}C). Before annealing these films exhibited a non-linear ρab(T)\rho_{ab}(T), with a flattening below 230 K, similar to ρb(T)\rho_{b}(T) and ρab(T)\rho_{ab}(T) observed in untwinned and twinned YBCO crystals, respectively. For all films the annealing causes an increase of resistivity and a transformation of ρab(T)\rho_{ab}(T) from a non-linear dependence towards a more linear one (less flattening). In films with 7- δ=6.90\delta = 6.90 the increase of resistivity is also associated with an increase in TcT_{c}. We proposed the model that provides an explanation of these phenomena in terms of thermally activated redistribution of residual O(5) oxygens in the chain-layer of YBCO. Good agreement between the experimental data for ρab(t,T)\rho_{ab}(t,T), where t is the annealing time, and numerical calculations was obtained.Comment: 8 pages, 9 figures, submitted to PR

    On the Strong Scalability of Maritime CFD

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    Since 2004, supercomputer growth hasbeen constrained by energy efficiency rather than raw hardware speeds. Tomaintain exponential growth of overall computing power, a massive growth inparallelization is under way. To keep up with these changes, computationalfluid dynamics (CFD) must improve its strong scalability – its ability tohandle lower cells-per-core ratios and achieve finer-grain parallelization. Amaritime-focused, unstructured, finite-volume code (ReFRESCO) is used toinvestigate the scalability problems for incompressible, viscous CFD using two classicaltest-cases. Existing research suggests that the linear equation-system solveris the main bottleneck to incompressible codes, due to the stiff Poisson pressure equation. Here, these results are expandedby analysing the reasons for this poor scalability. In particular, a number ofalternative linear solvers and preconditioners are tested to determine if thescalability problem can be circumvented, including GMRES, Pipelined-GMRES,Flexible-GMRES and BCGS. Conventional block-wise preconditioners are tested,along with multi-grid preconditioners and smoothers in various configurations.Memory-bandwidth constraints and global communication patterns are found to bethe main bottleneck, and no state-of-the-art solution techniques which solve thestrong-scalability problem satisfactorily could be found. There is significantincentive for more research and development in this area
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