480 research outputs found

    On the estimation of temporal mileage rates

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    Techniques for the inference of mileage rates from MOT data

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    Mathematical and computational techniques are developed for the processing and analysis of annual MOT (roadworthiness) test data that the UK Department for Transport has placed in the public domain. Firstly, techniques are given that clean erroneous records and a linking procedure is provided that permits the inference of an individual vehicle's mileage between consecutive tests. Methods are then developed that analyse aggregate mileage totals, as a function of vehicle age, class and geography. The inference of aggregate mileage rates as a function of time is then considered

    Resilience, redundancy and low-carbon living: co-producing individual and community learning

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    There is an acknowledged need for buildings and communities to be more resilient in the face of unpredictable effects of climate change, economic crises and energy supplies. The notion and social practices involving redundancy (the ability to switch between numerous available choices beyond optimal design) are explored as an aspect of resilience theory. Practice and Social Learning theories are used as a lens through which to explore the available redundancy in housing and home environments to help prevent performance failure through unexpected circumstances or in response to varying user needs. Findings from an in depth UK housing case study show how redundancy is linked with the capacity to share resources and to learn both individually and collectively as a community. Such learning in relation to resilient low-carbon living is shown to be co-produced effectively through participatory action research. The benefits of introducing extra redundancy in housing design and community development to accommodate varied user’s understanding and preferences are discussed in relation to future proofing, value and scalar issues. Recommendations include better understanding of the design, time and monetary contribution needed to implement social or technical redundancy. These costs should be evaluated in context of savings made through greater resilience achieved

    Public drunkenness as a nuisance in Ghent (Belgium) and Trento (Italy)

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    This article explores the reality of the nuisance of public drunkenness in one nightlife location of Ghent (Belgium) and in one of Trento (Italy) and inspects the way alcohol-related disorder is viewed and tackled by police officers there. Drawing on the literature arguing for the existence of different "cultures of drinking" in western and southern European countries, a distinct reality of the nuisance of public drunkenness was hypothesized to be present in these two cities. Against the backdrop of cultural criminology scholarship and of the national literature on policing practices, it was expected that the physical/aesthetic appearance of street drinkers would differently impact on the way police officers there represent alcohol-related disorder and enforce national and local nuisance regulations. The gathered data indicate that while drinking patterns and connected disorderly behavior do not significantly vary in Ghent and in Trento, the aesthetic/physical characteristics of certain groups of people play a role in shaping the representations of some police officers in Trento. The study concludes that cultural and context-specific factors, including those linked to the cultures of drinking and to aesthetics, should be considered in criminological research to more fully understand and explain the different policing views on and attitudes to alcohol-related disorder in inner-city nightlife areas. In its conclusions, the article also highlights some directions for future research

    Predicting household water use behaviour for improved hygiene practices in internet of things environment via dynamic behaviour intervention model

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    Recent advances in Internet of Things (IoT) enabled technologies allow the intelligent sensor systems to effectively and efficiently observe and identify human behaviour in many applications, particularly in energy consumption and healthcare sectors. One typical case is that how to use IoT technologies to understand human water use behaviour for improved and sustained hygiene practice. Traditionally, static behaviour intervention models are widely utilised to simulate behaviour intervention process over time. These static methods can predict targeted human behaviour reasonably well, but lack of capabilities on understanding and responding behaviour change process in IoT environments. In this study, the authors proposed a dynamic behaviour intervention model for predicting household water user behaviour for improved hygiene practices. This model is based on an expanded theory of planned behaviour (ETPB), and adopted structure equation model approach and control engineering concept. A case study of household water consumption model using artificial neural network is utilised to evaluate intervention trend of proposed ETPB dynamic behaviour model with system parameter identification. The ETPB dynamic model has been proved to be effective for modelling human behaviour intervention process

    The intraductal approach to the breast: raison d'ĂȘtre

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    Opportunities for the detection, prediction, and treatment of breast cancer exist at three biological levels: systemically via the blood, at the whole organ level, and within the individual ductal lobular structures of the breast. This review covers the evaluation of approaches targeted to the ductal lobular units, where breast cancer begins. Studies to date suggest the presence of 5 to 12 independent ductal lobular systems per breast, each harboring complex cellular fluids contributed by local and systemic processes. New techniques for accessing and interrogating these systems offer the potential to gauge the microenvironment of the breast and distill biological risk profiles
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