863 resultados para Knowledge Technologies and Applications


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Model-based calibration of steady-state engine operation is commonly performed with highly parameterized empirical models that are accurate but not very robust, particularly when predicting highly nonlinear responses such as diesel smoke emissions. To address this problem, and to boost the accuracy of more robust non-parametric methods to the same level, GT-Power was used to transform the empirical model input space into multiple input spaces that simplified the input-output relationship and improved the accuracy and robustness of smoke predictions made by three commonly used empirical modeling methods: Multivariate Regression, Neural Networks and the k-Nearest Neighbor method. The availability of multiple input spaces allowed the development of two committee techniques: a 'Simple Committee' technique that used averaged predictions from a set of 10 pre-selected input spaces chosen by the training data and the "Minimum Variance Committee" technique where the input spaces for each prediction were chosen on the basis of disagreement between the three modeling methods. This latter technique equalized the performance of the three modeling methods. The successively increasing improvements resulting from the use of a single best transformed input space (Best Combination Technique), Simple Committee Technique and Minimum Variance Committee Technique were verified with hypothesis testing. The transformed input spaces were also shown to improve outlier detection and to improve k-Nearest Neighbor performance when predicting dynamic emissions with steady-state training data. An unexpected finding was that the benefits of input space transformation were unaffected by changes in the hardware or the calibration of the underlying GT-Power model.

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Jewell and Kalbfleisch (1992) consider the use of marker processes for applications related to estimation of the survival distribution of time to failure. Marker processes were assumed to be stochastic processes that, at a given point in time, provide information about the current hazard and consequently on the remaining time to failure. Particular attention was paid to calculations based on a simple additive model for the relationship between the hazard function at time t and the history of the marker process up until time t. Specific applications to the analysis of AIDS data included the use of markers as surrogate responses for onset of AIDS with censored data and as predictors of the time elapsed since infection in prevalent individuals. Here we review recent work on the use of marker data to tackle these kinds of problems with AIDS data. The Poisson marker process with an additive model, introduced in Jewell and Kalbfleisch (1992) may be a useful "test" example for comparison of various procedures.

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PURPOSE: Study of behavior and influence of a multileaf collimator (MLC) on dose calculation, verification, and portal energy spectra in the case of intensity-modulated fields obtained with a step-and-shoot or a dynamic technique. METHODS: The 80-leaf MLC for the Varian Clinac 2300 C/D was implemented in a previously developed Monte Carlo (MC) based multiple source model (MSM) for a 6 MV photon beam. Using this model and the MC program GEANT, dose distributions, energy fluence maps and energy spectra at different portal planes were calculated for three different MLC applications. RESULTS: The comparison of MC-calculated dose distributions in the phantom and portal plane, with those measured with films showed an agreement within 3% and 1.5 mm for all cases studied. The deviations mainly occur in the extremes of the intensity modulation. The MC method allows to investigate, among other aspects, dose components, energy fluence maps, tongue-and-groove effects and energy spectra at portal planes. CONCLUSION: The MSM together with the implementation of the MLC is appropriate for a number of investigations in intensity-modulated radiation therapy (IMRT).

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Following last two years’ workshop on dynamic languages at the ECOOP conference, the Dyla 2007 workshop was a successful and popular event. As its name implies, the workshop’s focus was on dynamic languages and their applications. Topics and discussions at the workshop included macro expansion mechanisms, extension of the method lookup algorithm, language interpretation, reflexivity and languages for mobile ad hoc networks. The main goal of this workshop was to bring together different dynamic language communities and favouring cross communities interaction. Dyla 2007 was organised as a full day meeting, partly devoted to presentation of submitted position papers and partly devoted to tool demonstration. All accepted papers can be downloaded from the workshop’s web site. In this report, we provide an overview of the presentations and a summary of discussions.

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AIM: Establish a list of first year medical students' attitudes, doubts, and knowledge in the fields of organ transplantation and donation. METHOD: Anonymized questionnaire handed out to students during class lectures. RESULTS: 183 questionnaires were distributed and 117 returned (participation: 64%). The average age of the students was 21.6 +/- 2.7 years (range 18 to 38 years); the sample included 71 women (60.7%) and 48 men (39.3%). Only 2 students (2%) were not interested in the subject of organ donation. The students knew very little of the legal aspects of organ donation and 1/4 of them thought there was even a Federal law regarding organ transplantation. When asked if they knew whether a law existed in the Canton of Berne, 44% replied yes, but only 24 (20%) knew that this is contradictory. There was no gender difference in the answers to these question. From 57 students (48%) 246 individual comments on doubts and concerns were analyzed. In this respect, the students mainly questioned whether the donor was truly dead when donation took place (n = 48), if illegal transplantation could be eliminated (n = 44) and if transplantation was truly necessary (n = 43). Some also mentioned religious/ethical doubts (n = 42). In regard to organ donation by a living individual, 27 students were concerned about the health of this donor. 20 students had doubts regarding the pressure possibly applied by family members and friends and as many voiced doubts in regard to premature diagnosis of brain death of potential donors. Only 2 students were concerned about the post-mortem presentation. 45 students (48%) indicated discomfort with the donation of certain organs. They ranked the kidney as the first organ to donate, followed by the pancreas, heart, cornea, intestine, lung and liver. CONCLUSION: The interest in organ donation and transplantation is already strong in fist year medical students in the pre-clinical stage. However, differences from lay public are not readably detectable at this stage of medical training. Adequate information could influence future physicians in their mediatory role.

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New technologies, in particular those stemming from digitisation, allow amongst other things the production of perfect copies, instantaneous and ubiquitous distribution of and easy access to information with no real location restrictions. The effects of these technological advances have largely been perceived as negative for the protection of traditional cultural expressions (TCE), both because of the peculiarities of the digital networked environment and because of the lack of appropriate intellectual property protection models for TCE. The purpose of this article is, while accounting for the diversity and complexity of issues related to TCE, to reveal a more positive side of digital technologies. It shows the potential of these to be proactively applied and the further reaching possibilities for designing an efficient multi-level and multi-faceted toolbox for the protection and promotion of TCE in the digital ecology.