32 resultados para purchase confidence


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In this paper the authors propose a new technique for determining a confidence factor applied to the performance prediction of individual luminaires within an overall pattern of luminaires. This work has relevance to any application where it is necessary to determine the performance of a lighting pattern e.g. street lighting, signal lighting etc. In this paper we apply our technique to a transportation application, namely, an airport landing lighting pattern. In the aviation industry it is imperative that the landing lighting pattern at individual airports performs according to standards. We have developed an automated technique which can be used to access the performance of luminaires within this pattern. We extend this work to also derive a confidence factor related to this prediction based on the quality of the data being utilised. ©2010 IEEE.

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An overview of the decisions taken by the UK Supreme Court in 2012

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This article examines hospital provision in Ireland during the early twentieth century. It examines attempts by the newly independent Irish Free State to reform and de-stigmatise medical relief in former workhouse infirmaries. Such reforms were designed to move away from nineteenth century welfare regimes which were underpinned by principles of deterrence. The reform initiated in independent Ireland - the first attempted break-up of the New Poor Law in Great Britain or Ireland - was partly successful. Many of the newly named County and District Hospitals provided solely for medical cases and managed to dissociate such health care provision from the relief of poverty. However, some hospitals continued to act as multifunctional institutions and provided for various categories including the sick, the aged and infirm, 'unmarried mothers' and 'harmless lunatics'. Such institutions often remained associated with the relief of poverty. This article also examines patient fee-payment and outlines how fresh terms of entitlement and means-testing were established. Such developments were even more pronounced in voluntary hospitals where the majority of patients made a financial contribution to their treatment. The article argues that the ability to pay at times determined the type of provision, either voluntary or rate-aided, available to the sick. However, it concludes that the clinical condition of patients often determined whether they entered a more prestigious voluntary hospital or the former workhouse. Although this article concentrates on two Irish case studies, County Kerry and Cork City; it is conceptualised within wider developments with particular reference to the British context.

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Simulation offers a safe opportunity for students to practice clinical procedures without exposure and risk of harm to real patients (Partin et al, 2011). Simulation is recognised to increase students’ confidence in their ability to make critical decisions (McCaughey and Traynor, 2010). Within Queen’s University Belfast, simulation for obstetric emergency training based on the ethos of ‘Practical Obstetric Multi-Professional Training[PROMPT]’ (Draycott et al, 2008) has been developed for midwifery students and is now uniquely embedded within the pre-registration curriculum. An important aspect of the PROMPT training is the use of low fidelity simulation as opposed to high tech support (Crofts et al, 2008). Studies have reflected that low fidelity simulation can be an effective tool for promoting student confidence (Tosterud, 2013; Hughes et al, 2013). Students are given the opportunity to experience obstetric emergencies within a safe environment and evaluation has indicated that students feel safe and have an increase in confidence and self-efficacy. The immediacy of the feedback offered by simulated situations encourages an exploration of beliefs and attitudes, particularly with peers, promoting a deeper sense of learning (Stoneham and Feltham, 2009).This paper will discuss why low fidelity simulation can effectively enhance the student experience and promote self-efficacy.

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Traditional experimental economics methods often consume enormous resources of qualified human participants, and the inconsistence of a participant’s decisions among repeated trials prevents investigation from sensitivity analyses. The problem can be solved if computer agents are capable of generating similar behaviors as the given participants in experiments. An experimental economics based analysis method is presented to extract deep information from questionnaire data and emulate any number of participants. Taking the customers’ willingness to purchase electric vehicles (EVs) as an example, multi-layer correlation information is extracted from a limited number of questionnaires. Multi-agents mimicking the inquired potential customers are modelled through matching the probabilistic distributions of their willingness embedded in the questionnaires. The authenticity of both the model and the algorithm is validated by comparing the agent-based Monte Carlo simulation results with the questionnaire-based deduction results. With the aid of agent models, the effects of minority agents with specific preferences on the results are also discussed.

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Intergroup contact theory proposes that positive interactions between members of different social groups can improve intergroup relations. Contact should be especially effective in schools, where opportunities may exist to engage cooperatively with peers from different backgrounds and develop cross-group friendships. In turn, these friendships have numerous benefits for intergroup relations. However, there is evidence that children do not always engage in cross-group friendships, often choosing to spend time with same-group peers, even in diverse settings. We argue that in order to capitalize on the potential impact of contact in schools for promoting harmonious intergroup relations, a new model is needed that places confidence in contact at its heart. We present an empirically driven theoretical model of intergroup contact that outlines the conditions that help to make young people contact ready, preparing them for successful, sustained intergroup relationships by giving them the confidence that they can engage in contact successfully. After evaluating the traditional approach to intergroup contact in schools, we present our theoretical model which outlines predictors of cross-group friendships that enhance confidence in and readiness for contact. We then discuss theory-driven, empirically tested interventions that could potentially promote confidence in contact. Finally, we make specific recommendations for practitioners and policy makers striving to promote harmonious intergroup relations in the classroom.

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Advocacy has long been described as an inherent part of our role as nurses. Patient vulnerability is cited as a common reason that nurses assume the role of an advocate and no population is more vulnerable than a sick or premature newborn. In this article Diane Chalkright examines the issues surrounding advocacy for patients, and how her previous experience and current knowledge assisted her in challenging medical decisions whilst acting as an effective advocate for a sick baby in her care

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Ranking variables according to their relevance to predict an outcome is an important task in biomedicine. For instance, such ranking can be used for selecting a smaller number of genes to then apply other sophisticated experiments only on genes identified as important. A nonparametric method called Quor is designed to provide a confidence value for the order of arbitrary quantiles of different populations using independent samples. This confidence may provide insights about possible differences among groups and yields a ranking of importance for the variables. Computations are efficient and use exact distributions with no need for asymptotic considerations. Experiments with simulated data and with multiple real -omics data sets are performed and they show advantages and disadvantages of the method. Quor has no assumptions but independence of samples, thus it might be a better option when assumptions of other methods cannot be asserted. The software is publicly available on CRAN.

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In January 2014, the Northern Ireland Policing Board (NIPB) commissioned the University of Ulster to conduct research into public confidence in policing to help inform the work of the Board and its oversight of police service delivery. More specifically, the research team were tasked with exploring ‘the key drivers of confidence in Northern Ireland’. To date, the subject of ‘confidence in policing’ within a Northern Ireland context has been relatively under researched, both in academic and policy terms. Thus, the present research is the first empirical research to be produced in the country to empirically assess confidence in policing from a cross section of society – including the key dynamics and drivers that underpin police confidence at a community level.

The report begins with a comprehensive review of academic literature, policy documents and contemporary events related to confidence in policing. The research then provides an overview of the methodology used to undertake the research, with the remainder of the report comprised of the findings from the survey. The report concludes with an overview of the central findings along with a series of recommendations.