97 resultados para Executive advisory bodies


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The editor and contributors to this volume are concerned that these thinkers have been misappropriated on occasions. That is why this volume concentrates on the historical and intellectual background of these philosophers.

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Angela Carter described herself as being in the “demythologisingbusiness” (“Notes”, 38) and in her 1984 novel Nights at the CircusCarter’s interrogative scope is both broad and complex. The wingedaerialiste Fevvers and the rag-bag of circus freaks with whom shejourneys evoke the Rabelaisian carnivalesque that Bakhtin cites as apowerful challenge to the spatial, temporal, and linguistic fixities of themedieval world. The transformative and regenerative potential ofRabelais’ grotesque is evident in Nights' temporal setting, whichforegrounds the possibilities of birth through death. Set at the “fagend” of the nineteenth century (19), the characters are witness tohistory on the cusp as “[t]he old dying world gives birth to the newone” (Bakhtin, 435). Here Carter has shifted the point of historicalregeneration from Rabelais’ subversion of the Neo-Platonic medievalcosmology to, rather hopefully, symbolize the demise or at least thederailment of the Age of Reason, industrial progress, Imperialism, andtheir respective ideologies of misogyny. For Fevvers and Walser theexcess of the carnivalesque prompts a crisis of subjectivity thatsignals both the redundancy of restrictive ideologies of demarcationand hierarchy, but also the playful possibilities of corporeal fluidity andreferential relativism.

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INTRODUCTION: Executive functions are high-order aspects of cognition heavily dependent upon the prefrontal cortex. Both prefrontal cortex activity and executive function task performance are enhanced by participation in aerobic physical activity, suggesting that a lack of such activity during the bed rest model of prolonged weightlessness might induce executive function deficits. METHODS: Twenty-four healthy males (ages 21-45 yr) undertook 60 d of head-down bed rest (-6 degrees) for the 2nd Berlin Bed Rest Study (BBR2-2). Three executive function tasks (Iowa Gambling Task, working memory, and flanker) and a reaction time task were administered before, during, and after bed rest. RESULTS: Iowa Gambling Task scores were significantly worse during bed rest (1.7 +/- 6.9) than in other sessions (24.3 +/- 7.8). Effects on working memory and flanker task performance were less obvious, requiring practice effects to be considered. Reaction time was significantly slower after bed rest (569 +/- 42 ms) than in earlier tests (529 +/- 45 ms). There was also significantly less intrasubject variability in reaction time after bed rest, consistent with more efficient executive functioning at this stage. DISCUSSION: Our results provide some evidence for a detrimental effect of bed rest on executive functioning. Whether this stems from a lack of aerobic physical activity and/or changes in the prefrontal cortex remains to be determined. Cognitive effects of bed rest could have implications for the planned human exploration of Mars, and for medical and lifestyle conditions with inadequate levels of aerobic physical activity.

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Bicycle advisory treatments are used to advise road users of the potential presence of cyclists and of the location where cyclists may be expected to ride on a road. They include pavement markings, warning signs, guide signs, and as such have no regulatory function. The most common type of bicycle advisory pavement markings is the shared lane marking. Other forms of bicycle advisory pavement marking have also been trialled and used in several local jurisdictions. The bicycle awareness zone is an example of such facility which has been trialled and used in southeast Queensland, Australia since the late 1990s. A bicycle awareness zone is similar to shared lane marking in principle but differs in the type of logo and, in some cases, location of its placement on the road. This study assesses the operational and safety issues at three bicycle awareness zone sites by analysing video-assisted observation data collected in 2011 by Queensland Department of Transport and Main Roads, Australia. Of the several applications of bicycle awareness zones, this study only covers a particular application where the centre of the bicycle symbol is placed exactly over the parking edge line. Unlike previous studies, which mostly covered before-and-after evaluations of bicycle advisory pavement markings, the focus of this study is to assess whether the placement of bicycle awareness zone symbols has been successful. The aggregated results from video-assisted observational data show that the cyclists did not always track themselves over the centre of the symbols. Rather, both the cyclists' lateral tracking positions and road user interactions varied with the widths of kerbside parallel parking space. Since the bicycle awareness zone symbols are not positioned on the cyclists' desired line of ride on some roads, their operational effectiveness and safety value are questioned.

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In this paper, we address the problems of fully automatic localization and segmentation of 3D vertebral bodies from CT/MR images. We propose a learning-based, unified random forest regression and classification framework to tackle these two problems. More specifically, in the first stage, the localization of 3D vertebral bodies is solved with random forest regression where we aggregate the votes from a set of randomly sampled image patches to get a probability map of the center of a target vertebral body in a given image. The resultant probability map is then further regularized by Hidden Markov Model (HMM) to eliminate potential ambiguity caused by the neighboring vertebral bodies. The output from the first stage allows us to define a region of interest (ROI) for the segmentation step, where we use random forest classification to estimate the likelihood of a voxel in the ROI being foreground or background. The estimated likelihood is combined with the prior probability, which is learned from a set of training data, to get the posterior probability of the voxel. The segmentation of the target vertebral body is then done by a binary thresholding of the estimated probability. We evaluated the present approach on two openly available datasets: 1) 3D T2-weighted spine MR images from 23 patients and 2) 3D spine CT images from 10 patients. Taking manual segmentation as the ground truth (each MR image contains at least 7 vertebral bodies from T11 to L5 and each CT image contains 5 vertebral bodies from L1 to L5), we evaluated the present approach with leave-one-out experiments. Specifically, for the T2-weighted MR images, we achieved for localization a mean error of 1.6 mm, and for segmentation a mean Dice metric of 88.7% and a mean surface distance of 1.5 mm, respectively. For the CT images we achieved for localization a mean error of 1.9 mm, and for segmentation a mean Dice metric of 91.0% and a mean surface distance of 0.9 mm, respectively.

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Using a large sample of U.S. firms spanning the period 2000-2010, we document a strong positive association between the sensitivity of CEO compensation portfolio to stock return volatility (vega) and audit fees. We also show that the positive association between vega and audit fees is weaker in the post-Sarbanes-Oxley Act (SOX) period. In supplementary tests, we show that the relation between vega and audit fees is stronger for firms with older CEOs and in firms where the CEO is also chairman of the board. Collectively, our results suggest that audit firms incorporate executive risktaking incentives in the fees they charge for their services.