34 research outputs found

    3D attributed models for addressing environmental and engineering geoscience problems in areas of urban regeneration : a case study in Glasgow, UK

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    The City of Glasgow is situated on and around the lower floodplain and inner estuary of the River Clyde in the west of Scotland, UK. Glasgow’s urban hinterland once was one of Europe’s leading centres of heavy industry, and of ship building in particular. The industries were originally fed by locally mined coal and ironstone. In common with many European cities, the heavy industries declined and Glasgow was left with a legacy of industrial dereliction, widespread undermining, and extensive vacant and contaminated sites, some the infilled sites of clay pits and sand and gravel workings

    Empirical Evidence on the Use of Credit Scoring for Predicting Insurance Losses with Psycho-social and Biochemical Explanations

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    An important development in personal lines of insurance in the United States is the use of credit history data for insurance risk classification to predict losses. This research presents the results of collaboration with industry conducted by a university at the request of its state legislature. The purpose was to see the viability and validity of the use of credit scoring to predict insurance losses given its controversial nature and criticism as redundant of other predictive variables currently used. Working with industry and government, this study analyzed more than 175,000 policyholders’ information for the relationship between credit score and claims. Credit scores were significantly related to incurred losses, evidencing both statistical and practical significance. We investigate whether the revealed relationship between credit score and incurred losses was explainable by overlap with existing underwriting variables or whether the credit score adds new information about losses not contained in existing underwriting variables. The results show that credit scores contain significant information not already incorporated into other traditional rating variables (e.g., age, sex, driving history). We discuss how sensation seeking and self-control theory provide a partial explanation of why credit scoring works (the psycho-social perspective). This article also presents an overview of biological and chemical correlates of risk taking that helps explain why knowing risk-taking behavior in one realm (e.g., risky financial behavior and poor credit history) transits to predicting risk-taking behavior in other realms (e.g., automobile insurance incurred losses). Additional research is needed to advance new nontraditional loss prediction variables from social media consumer information to using information provided by technological advances. The evolving and dynamic nature of the insurance marketplace makes it imperative that professionals continue to evolve predictive variables and for academics to assist with understanding the whys of the relationships through theory development.IC2 Institut

    Clyde Gateway Pilot 3D Geological Model. Version 2

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    This report describes the updates made to develop a new Version 2 of the Clyde Gateway Pilot Geological Model

    Clyde Gateway Pilot 3D Geological and Groundwater Model

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    This report describes the Clyde Gateway Pilot 3D geological model (superficial deposits, bedrock) and groundwater model (recharge and groundwater flow) which covers 1:10,000 scale Ordnance Survey sheets NS66SW, NS66NW and NS56SE. The groundwater model considers a broader area in general, and also, for practical purposes, a detailed consideration of NS56NE, based on available hydrogeological data. Therefore, the models, and report, address not only the Clyde Gateway area itself, but a larger area which includes for example the alignments of the M74 Extension and East End Regeneration Route. The report provides background information to the model user including brief geological descriptions, model construction methods, uncertainty factors, limitations and a helpful 3D model user manual

    Accessible 3-D geoscientific spatial data to INSPIRE Scotland’s planners, developers and regulators

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    The INSPIRE Directive (2007/2/EC of the European Parliament and of the Council and in force from the 15th May 2007) establishes an infrastructure for spatial information in the European Community. By facilitating the availability and access of spatial (geographic) information, best use can be made of the data for the benefit of a wide variety of users in different sectors and disciplines. Planning and development in Scotland bring together such a broad mix of users of spatial data. Therefore, the INSPIRE Directive has a key role to play in promoting improvements to spatial data infrastructures on which the efficiency and effectiveness of the planning process and successful and sustainable development depend. As a result, the Scottish economy will benefit, especially within the construction sector (which accounted for 6.6% of GDP in 2004, with a ÂŁ12 billion turnover (www.scotland.gov.uk/Publications/2006/12/19143801/0)), as will society as a whole

    Localization of MtuA, an LraI homologue in <i>Streptococcus uberis</i>

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    AIMS: To determine the localization of MtuA, an LraI lipoprotein within Streptococcus uberis and assess whether the protein was able to induce an antibody response capable of growth inhibition. METHODS AND RESULTS: Immunoblots and ELISAs were performed on S. uberis cell fractions to localize the protein. The strongest reactivity was within the membrane-enriched fraction. Electron micrographs also showed labelling consistent with a location within the membrane. Specific antibodies from both rabbits and calves were unable to inhibit the growth of S. uberis in milk. In addition, MtuA was not detectable in a whole-cell ELISA and whole bacterial cells were unable to adsorb specific antibodies from antiserum raised against MtuA. CONCLUSIONS: The MtuA protein appears to be located within the cell membrane and is not on the bacterial surface and thus not available for interaction with potentially growth-inhibiting antibodies. SIGNIFICANCE AND IMPACT OF THE STUDY: Unlike PsaA of S. pneumoniae and MtsA of S. pyogenes, MtuA of S. uberis does not appear to be located at the cell surface. Therefore, in contrast to studies with other similar proteins, MtuA is unlikely to be a good vaccine candidate

    Acute health effects of the Sea Empress oil spill

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    STUDY OBJECTIVE: To investigate whether residents in the vicinity of the Sea Empress tanker spill suffered an increase in self reported physical and psychological symptoms, which might be attributable to exposure to crude oil. DESIGN: Retrospective cohort study; postal questionnaire including demographic details, a symptom checklist, beliefs about health effects of oil and the Hospital Anxiety and Depression and SF-36 mental health scales. SETTING: Populations living in four coastal towns on the exposed south Pembrokeshire coast and two control towns on the unexposed north coast. PATIENTS: 539 exposed and 550 unexposed people sampled at random from the family health services authority age-sex register who completed questionnaires. MAIN RESULTS: Adjusted odds ratios for self reported physical symptoms; scores on the Hospital Anxiety and Depression and SF-36 mental health scales, in 1089 people who responded out of a possible 1585 (69%). CONCLUSIONS: Living in areas exposed to the crude oil spillage was significantly associated with higher anxiety and depression scores, worse mental health; and self reported headache (odds ratio = 2.35, 95% CI 1.56, 3.55), sore eyes (odds ratio = 1.96, 95% CI 1.06, 3.62), and sore throat (odds ratio = 1.70, 95% CI 1.12, 2.60) after adjusting for age, sex, smoking status, anxiety, and the belief that oil had affected health. People living in exposed areas reported higher rates of physical and psychological symptoms than control areas. Symptoms significantly associated with exposure after adjustment for anxiety and health beliefs were those expected from the known toxicological effect of oil, suggesting a direct health effect on the exposed population.

    The Origin of Mercury

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    Mercury’s unusually high mean density has always been attributed to special circumstances that occurred during the formation of the planet or shortly thereafter, and due to the planet’s close proximity to the Sun. The nature of these special circumstances is still being debated and several scenarios, all proposed more than 20 years ago, have been suggested. In all scenarios, the high mean density is the result of severe fractionation occurring between silicates and iron. It is the origin of this fractionation that is at the centre of the debate: is it due to differences in condensation temperature and/or in material characteristics (e.g. density, strength)? Is it because of mantle evaporation due to the close proximity to the Sun? Or is it due to the blasting off of the mantle during a giant impact? In this paper we investigate, in some detail, the fractionation induced by a giant impact on a proto-Mercury having roughly chondritic elemental abundances. We have extended the previous work on this hypothesis in two significant directions. First, we have considerably increased the resolution of the simulation of the collision itself. Second, we have addressed the fate of the ejecta following the impact by computing the expected reaccretion timescale and comparing it to the removal timescale from gravitational interactions with other planets (essentially Venus) and the Poynting–Robertson effect. To compute the latter, we have determined the expected size distribution of the condensates formed during the cooling of the expanding vapor cloud generated by the impact. We find that, even though some ejected material will be reaccreted, the removal of the mantle of proto-Mercury following a giant impact can indeed lead to the required long-term fractionation between silicates and iron and therefore account for the anomalously high mean density of the planet. Detailed coupled dynamical–chemical modeling of this formation mechanism should be carried out in such a way as to allow explicit testing of the giant impact hypothesis by forthcoming space missions (e.g. MESSENGER and BepiColombo)
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