116 resultados para Machine-tools


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Variability in nitrogen fate and transport in different catchments types is often not considered. This research considers the importance of such nitrogen processes within groundwater pathways in two agricultural catchments in Ireland; a well drained catchment, underlain by karstified Carboniferous limestone, and a poorly drained catchment, underlain by Silurian greywacke.
Depth specific low-flow groundwater sampling was used to evaluate the hydrochemical stratification in groundwater. Groundwater samples, as well as surface water samples, along river courses were analysed for nitrogen species (NO3, NH4 and NO2) and nitrate isotopes (d15N and d18O) as well as field parameters and major ions
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The dominant nitrate (NO3) groundwater pathway in the poorly drained greywacke catchment is through the shallow weathered bedrock, as indicated by transmissivity values and the ionic and isotopic signatures, and a clear reduction in NO3 concentration is observed with depth. A similar chloride trend would suggest dilution is a major factor, however d15N and d18O isotopic values producing an enrichment ratio of 1.8 indicate that denitrification is also an important process involved in the fate of the NO3 within the groundwater flow system. This consistent trend with depth is in contrast to the stratification pattern observed in the karstified catchment. NO3 was not detected in the shallow groundwater pathway; the dominant groundwater pathway is in the deeper groundwater where there is little change in the nitrate isotope values with depth (d15N values range between 4.1 and 4.6 ‰). This deeper groundwater contributes the dominant proportion of the river flow through a number of springs. As a result, the deeper groundwater, springs and river have a similar ionic signature and NO3 concentration range (23 ± 3 mg/l). Despite this pattern, the NO3 isotopes show a distinct difference in isotopic values between the deeper groundwater in the diffuse karst and the springs indicating some denitrification is occurring during groundwater discharge into the river. Furthermore the isotopes give an indication of the variability of the spatial extent of the springs and the complexities of the fissures through which they are fed. The results of this study clearly show the importance of the geology in the fate and transport of NO3 in agricultural catchments.

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Purpose: Given the emergent nature of i-branding as an academic field of study and a lack of applied research output, the aim of this paper is to explain how businesses manage i-branding to create brand equity.

Design/methodology/approach: Within a case-study approach, seven cases were developed from an initial sample of 20 food businesses. Additionally, utilising secondary data, the analysis of findings introduces relevant case examples from other industrial sectors.

Findings: Specific internet tools and their application are discussed within opportunities to create brand equity for products classified by experience, credence and search characteristics. An understanding of target customers will be critical in underpinning the selection and deployment of relevant i-branding tools. Tools facilitating interactivity – machine and personal – are particularly significant.

Research limitations/implications: Future research positioned within classification of goods constructs could provide further contributions that recognise potential moderating effects of product/service characteristics on the development of brand equity online. Future studies could also employ the i-branding conceptual framework to test its validity and develop it further as a means of explaining how i-branding can be managed to create brand equity.

Originality/value: While previous research has focused on specific aspects of i-branding, this paper utilises a conceptual framework to explain how diverse i-branding tools combine to create brand equity. The literature review integrates fragmented literature around a conceptual framework to produce a more coherent understanding of extant thinking. The location of this study within a classification of goods context proved critical to explaining how i-branding can be managed.

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The relationships among organisms and their surroundings can be of immense complexity. To describe and understand an ecosystem as a tangled bank, multiple ways of interaction and their effects have to be considered, such as predation, competition, mutualism and facilitation. Understanding the resulting interaction networks is a challenge in changing environments, e.g. to predict knock-on effects of invasive species and to understand how climate change impacts biodiversity. The elucidation of complex ecological systems with their interactions will benefit enormously from the development of new machine learning tools that aim to infer the structure of interaction networks from field data. In the present study, we propose a novel Bayesian regression and multiple changepoint model (BRAM) for reconstructing species interaction networks from observed species distributions. The model has been devised to allow robust inference in the presence of spatial autocorrelation and distributional heterogeneity. We have evaluated the model on simulated data that combines a trophic niche model with a stochastic population model on a 2-dimensional lattice, and we have compared the performance of our model with L1-penalized sparse regression (LASSO) and non-linear Bayesian networks with the BDe scoring scheme. In addition, we have applied our method to plant ground coverage data from the western shore of the Outer Hebrides with the objective to infer the ecological interactions. (C) 2012 Elsevier B.V. All rights reserved.

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A parallel kinematic machine (PKM) topology can only give its best performance when its geometrical parameters are optimized. In this paper, dimensional synthesis of a newly developed PKM is presented for the first time. An optimization method is developed with the objective to maximize both workspace volume and global dexterity of the PKM. Results show that the method can effectively identify design parameter changes under different weighted objectives. The PKM with optimized dimensions has a large workspace to footprint ratio and a large well-conditioned workspace, hence justifies its suitability for large volume machining.

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As fiscal pressures mount, health-planning and decision-making at smaller geographics scales must be more effective. Involving local constituents in needs assessments, it is believed, would lead to better identification and serving of regional demands and needs for health services. This article examines needs assessment as a tool to determine a community's service needs and establish priorities for the creation of programs. Various approaches used in needs assessments are described, including survey methods, structured groups and geographic information systems.

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With the emergence of multicore and manycore processors, engineers must design and develop software in drastically new ways to benefit from the computational power of all cores. However, developing parallel software is much harder than sequential software because parallelism can't be abstracted away easily. Authors Hans Vandierendonck and Tom Mens provide an overview of technologies and tools to support developers in this complex and error-prone task. © 2012 IEEE.

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A substantial amount of the 'critical mass' of digital data available to scholarship contains place-names, and it is now recognised that spatial and temporal data points, including place-names, are a vital part of the e-research infrastructure that supports the use, re-use and advanced analysis of data using ICT tools and methods. Place-names can also be linked semantically to contribute to the web of data, and to enrich content through linking existing data, and identifying new collections for digitization to strategically enhance existing digital collections. However, existing e-projects rely on modern gazetteers limiting them to the modern and the near-contemporary. This workshop explored how to further integrate the wealth of historical place-name scholarship, and the resulting digital resources generated within UK academia, so enabling integration of local knowledge over much longer periods.

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There is increasing research interest in how we can most effectively intervene in the built environment to change behaviours such as physical activity and improve health. Much of this work has focussed around the concept of walkability and the identification of those attributes of our cities that encourage pedestrian activity, including density, connectivity and the aesthetic of the urban realm (Saelens et al 2003, Frank et al 2010). Much of the existing research has clarified the strength of the relationships between various environmental attributes and the differential impact on different demographic groups (e.g. Panter et al 2011). This has not yet been effectively translated into tools to help integrate the concepts of walkability into decision-making by statutory authorities that can help shape the spatial development and delivery of public services which can support more active lifestyles. A key reason for this has been that standard models for transport planning and accessibility are based on networks of road infrastructure, which provides a weak basis for modelling pedestrian accessibility (Chin et al 2008).

This paper reports the findings of Knowledge Exchange project funded by UK’s Economic and Social Research Council (ES/J010588/1) and partners including Belfast and Derry City Councils and Northern Ireland’s Public Health Agency, the Department of Regional Development and Belfast Healthy Cities, that has attempted to address this problem. This project has mapped city-wide footpath networks and used these to assist partner organisations in developing the evidence base for making decisions on public services based on health impacts and pedestrian access. The paper describes the tool developed, uses a number of examples to highlight its impact on areas of decision-making and evaluates the benefits of further integrating walkability into planning and development practice.