972 resultados para general rule
Resumo:
The aim of this study was to evaluate the experiences of trainees taking part in an extended (four-year) general practice training programme introduced in the South Eastern region of the Republic of Ireland to replace the previous traditional (three-year) programme. In a qualitative design, eight homogeneous focus groups were held to determine the value of the additional year of training. The first cohort of trainees was interviewed towards the start and at the end of their fourth year. Trainees finishing the following year were also interviewed, as were graduates from the final three-year programme. GP trainers and the four members of the programme directing team comprised two further independent focus groups. Trainees reported that the integration of hospital posts and general practice attachments over the four years was particularly beneficial. The exposure to a variety of different general practices and the opportunity to take part in specialty clinics were considered extremely useful. The fourth year of training was felt to be less pressurised than previous years. Professional and personal development was enhanced; improved readiness to practise and confidence were noted. Perceived disadvantages of extended training included a lack of acknowledgment for doctors in their fourth year and excessive emphasis placed on research during the final year of training. The addition of an extra year of vocational training improves professional and personal development and changes the learning experience for doctors. Doctors felt more confident and ready to enter independent practice at the end of the fourth year of training.
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This article presents a new series of monthly equity returns for the British stock market for the period 1825-1870. In addition to calculating capital appreciation and dividend yields, the article also estimates the effect of survivorship bias on returns. Three notable findings emerge from this study. First, stock market returns in the 1825-1870 period are broadly similar for Britain and the United States, although the British market is less risky. Second, real returns in the 1825-1870 period are higher than in subsequent epochs of British history. Third, unlike the modern era, dividends are the most important component of returns.
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This article evaluates the anti-corruption campaign instituted in Nigeria following on the post-authoritarian transition in the country, with specific focus on political corruption. The anti-corruption campaign is being prosecuted within a context where law is as critical a factor as politics. This article examines whether the judiciary, in view of its accountability deficit, can offer legitimacy to the campaign. How has its questionable credentials impacted on its involvement in the campaign to sanitise public life? What has been the impact of the judicial role on the rule of law? These are some of the important questions this article seeks to answer. The inquiry in this article demonstrates how the guardian institution of the rule of law faces an uphill task in the performance of that role in a post-authoritarian context.
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objectives: To describe the patterns of computer use during patient visits to family doctors and to determine whether doctors alter their pattern of computer use in consultations which have significant psychological content.
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The convergence of the iterative identification algorithm for a general Hammerstein system has been an open problem for a long time. In this paper, it is shown that the convergence can be achieved by incorporating a regularization procedure on the nonlinearity in addition to a normalization step on the parameters.
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In this article we intoduce a novel stochastic Hebb-like learning rule for neural networks that is neurobiologically motivated. This learning rule combines features of unsupervised (Hebbian) and supervised (reinforcement) learning and is stochastic with respect to the selection of the time points when a synapse is modified. Moreover, the learning rule does not only affect the synapse between pre- and postsynaptic neuron, which is called homosynaptic plasticity, but effects also further remote synapses of the pre-and postsynaptic neuron. This more complex form of synaptic plasticity has recently come under investigations in neurobiology and is called heterosynaptic plasticity. We demonstrate that this learning rule is useful in training neural networks by learning parity functions including the exclusive-or (XOR) mapping in a multilayer feed-forward network. We find, that our stochastic learning rule works well, even in the presence of noise. Importantly, the mean leaxning time increases with the number of patterns to be learned polynomially, indicating efficient learning.