4,840 research outputs found

    Diffusion bonding of titanium to simulate S-1C fuel tankage components

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    Developing fabrication methods for diffusion bonding of titanium alloys to meet SIC fuel tank design criteri

    MSFC evaluation of the space fabrication demonstration system (beam builder)

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    The beam builder, designed and manufactured as a ground demonstration model, is a precursor to a machine for use in the space environment, transportable by the space shuttle. The beam builder has the capability to automatically fabricate triangular truss beams in low Earth orbit with a highly reliable machine that requires a minimum of in-space maintenance and repair. A performance assessment of the beam builder, which was fabricated from commercial hardware is given

    Management system requirements for wireless systems beyond 3G

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    This paper presents a comprehensive description of various management system requirements for systems beyond 3G, which have been identified as a result of the Software Based Systems activities within the Mobile VCE Core 2 program. Specific requirements for systems beyond 3G are discussed and potential technologies to address them proposed. The analysis has been carried out from network, service and security viewpoints

    People's perceptions and classifications of sounds heard in urban parks : semantics, affect and restoration

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    Sounds have been broadly categorized by researchers into ‘human’, ‘nature’ and ‘mechanical’. It is less clear if the general public define and classify sounds in the same way and which factors influence their classification process. Establishing people’s classification and impression of urban park sounds helps identify their perception and experience of urban parks. This in turn aides the process of defining parks with reference to soundscapes, to produce an appreciated and potentially restorative place. This study involved urban park sounds, identified by park users, being presented in card sorts and survey items. Participants sorted the sounds into similar groups, in reference to a visited park. The terminology, factors involved and classification of the sounds was assessed using multidimensional scaling. Triangulation of the results suggests affect is a key factor in people’s classification process. Participants’ grouped sounds were labelled by affective terms more often than their perceived physical properties. Affective evaluations of each sound produced a similar classification structure as the card sort results. People’s classification structure also varied depending on how restorative they found their urban park. Furthermore schematic recollections played a part with many sounds being ‘expected’. Overall similarities and differences with ‘human’, ‘nature’ and ‘mechanical’ classifications were observed

    The use of mixture density networks in the emulation of complex epidemiological individual-based models

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    Complex, highly-computational, individual-based models are abundant in epidemiology. For epidemics such as macro-parasitic diseases, detailed modelling of human behaviour and pathogen life-cycle are required in order to produce accurate results. This can often lead to models that are computationally-expensive to analyse and perform model fitting, and often require many simulation runs in order to build up sufficient statistics. Emulation can provide a more computationally-efficient output of the individual-based model, by approximating it using a statistical model. Previous work has used Gaussian processes (GPs) in order to achieve this, but these can not deal with multi-modal, heavy-tailed, or discrete distributions. Here, we introduce the concept of a mixture density network (MDN) in its application in the emulation of epidemiological models. MDNs incorporate both a mixture model and a neural network to provide a flexible tool for emulating a variety of models and outputs. We develop an MDN emulation methodology and demonstrate its use on a number of simple models incorporating both normal, gamma and beta distribution outputs. We then explore its use on the stochastic SIR model to predict the final size distribution and infection dynamics. MDNs have the potential to faithfully reproduce multiple outputs of an individual-based model and allow for rapid analysis from a range of users. As such, an open-access library of the method has been released alongside this manuscript

    Cryoformed 301 stainless steel for pressure vessels

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    Manufacture and performance of cryogenically formed stainless steel pressure vessels for liquid gas storag

    Reducing Energy Use and Carbon Emissions: A Critical Assessment of Small-Group Interventions

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    Motivating individuals to decrease the environmental impact of their lifestyles could play an important role in reducing energy use and meeting carbon reduction commitments in developed countries. Few approaches which encourage voluntary changes in behaviour result in substantial reductions in energy use, however, particularly over the longer term. An exception to this general trend is small-group interventions which use group participation and which target collections of behaviours including energy use. Through a critical examination of published data this paper considers the energy and carbon emission reductions achieved by such initiatives, the durability of those reductions, and the common elements which may contribute to their success. Participants in small-group interventions reduced their energy use and carbon emissions by approximately 20% within a year. There is also some evidence that these reductions were lasting and that participants continued to make changes to their lifestyles after the end of the intervention. The reasonable person model (RPM) is proposed as a useful framework for understanding the success of these small-group interventions. Examination of small-group interventions suggests that they provide settings which are supportive of informational needs, and that this may be important to their success in promoting substantial and durable decreases in energy use

    Highly active iridium(I) complexes for the selective hydrogenation of carbon-carbon multiple bonds

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    New iridium(I) complexes, bearing a bulky NHC/phosphine ligand combination, have been established as extremely efficient hydrogenation catalysts that can be used at low catalyst loadings, and are compatible with functional groups which are often sensitive to more routinely employed hydrogenation methods

    A national scale inventory of resource provision for biodiversity within domestic gardens

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    The human population is increasingly disconnected from nature due to urbanisation. To counteract this phenomenon, the UK government has been actively promoting wildlife gardening. However, the extent to which such activities are conducted and the level of resource provision for biodiversity (e.g., food and nesting sites) within domestic gardens remains poorly documented. Here we generate estimates for a selection of key resources provided within gardens at a national scale, using 12 survey datasets gathered across the UK. We estimate that 22.7 million households (87% of homes) have access to a garden. Average garden SiZe is 190 m(2), extrapolating to a total area of 432,924 ha. Although substantial, this coverage is still an order of magnitude less than that of statutory protected areas. Approximately 12.6 million (48%) households provide supplementary food for birds, 7.4 million of which specifically use bird feeders. Similarly, there are a minimum of 4.7 million nest boxes within gardens. These figures equate to one bird feeder for every nine potentially feeder-using birds in the UK, and at least one nest box for every six breeding pairs of cavity nesting birds. Gardens also contain 2.5-3.5 million ponds and 28.7 million trees, which is just under a quarter of all trees occurring outside woodlands. Ongoing urbanisation, characterised by increased housing densities, is inevitable throughout the UK and elsewhere. The important contribution domestic gardens make to the green space infrastructure in residential areas must be acknowledged, as their reduction will impact biodiversity conservation, ecosystem services, and the well-being of the human population
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