General relativistic null-cone evolutions with a high-order scheme

We present a high-order scheme for solving the full non-linear Einstein equations on characteristic null hypersurfaces using the framework established by Bondi and Sachs. This formalism allows asymptotically flat spaces to be represented on a finite, compactified grid, and is thus ideal for far-field studies of gravitational radiation. We have designed an algorithm based on 4th-order radial integration and finite differencing, and a spectral representation of angular components. The scheme can offer significantly more accuracy with relatively low computational cost compared to previous methods as a result of the higher-order discretization. Based on a newly implemented code, we show that the new numerical scheme remains stable and is convergent at the expected order of accuracy.Comment: 24 pages, 3 figure

Operation Moshtarak and the manufacture of credible, “heroic” warfare

Richard Lance Keeble argues that Fleet Street’s coverage of the Afghan conflict has served largely to promote the interests of the military/industrial/media complex – and marginalise the views of the public who have consistently appealed in polls for the troops to be brought back hom

Adaptive Seeding for Gaussian Mixture Models

We present new initialization methods for the expectation-maximization algorithm for multivariate Gaussian mixture models. Our methods are adaptions of the well-known $K$-means++ initialization and the Gonzalez algorithm. Thereby we aim to close the gap between simple random, e.g. uniform, and complex methods, that crucially depend on the right choice of hyperparameters. Our extensive experiments indicate the usefulness of our methods compared to common techniques and methods, which e.g. apply the original $K$-means++ and Gonzalez directly, with respect to artificial as well as real-world data sets.Comment: This is a preprint of a paper that has been accepted for publication in the Proceedings of the 20th Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2016. The final publication is available at link.springer.com (http://link.springer.com/chapter/10.1007/978-3-319-31750-2 24

Size and shape constancy in consumer virtual reality

With the increase in popularity of consumer virtual reality headsets, for research and other applications, it is important to understand the accuracy of 3D perception in VR. We investigated the perceptual accuracy of near-field virtual distances using a size and shape constancy task, in two commercially available devices. Participants wore either the HTC Vive or the Oculus Rift and adjusted the size of a virtual stimulus to match the geometric qualities (size and depth) of a physical stimulus they were able to refer to haptically. The judgments participants made allowed for an indirect measure of their perception of the egocentric, virtual distance to the stimuli. The data show under-constancy and are consistent with research from carefully calibrated psychophysical techniques. There was no difference in the degree of constancy found in the two headsets. We conclude that consumer virtual reality headsets provide a sufficiently high degree of accuracy in distance perception, to allow them to be used confidently in future experimental vision science, and other research applications in psychology

The contribution of political skill to the implementation of health services change: a systematic review and narrative synthesis

BACKGROUND: The implementation of strategic health system change is often complicated by informal ‘politics’ in healthcare organisations. Leadership development programmes increasingly call for the development and use of ‘political skill’ as a means for understanding and managing the politics of healthcare organisations. The primary purpose of this review is to determine how political skill contributes to the implementation of health services change, within and across organisations. The secondary purpose is to demonstrate the conceptual variations within the literature. METHODS: The article is based upon a narrative synthesis that included quantitative, qualitative and mixed methods research papers, review articles and professional commentaries that deployed the concept of political skill (or associated terms) to describe and analyse the implementation of change in healthcare services. RESULTS: Sixty-two papers were included for review drawn from over four decades of empirically and conceptually diverse research. The literature is comprised of four distinct literatures with a lack of conceptual coherence. Within and across these domains, political skill is described as influencing health services change through five dimensions of leadership: personal performance; contextual awareness; inter-personal influence; stakeholder engagement, networks and alliances; and influence on policy processes. CONCLUSION: There is a growing body of evidence showing how political skill can contribute to the implementation of health services change, but the evidence on explanatory processes is weak. Moreover, the conceptualisation of political skill is variable making comparative analysis difficult, with research often favouring individual-level psychological and behavioural properties over more social or group processes

A Family of Maximum Margin Criterion for Adaptive Learning

In recent years, pattern analysis plays an important role in data mining and recognition, and many variants have been proposed to handle complicated scenarios. In the literature, it has been quite familiar with high dimensionality of data samples, but either such characteristics or large data have become usual sense in real-world applications. In this work, an improved maximum margin criterion (MMC) method is introduced firstly. With the new definition of MMC, several variants of MMC, including random MMC, layered MMC, 2D^2 MMC, are designed to make adaptive learning applicable. Particularly, the MMC network is developed to learn deep features of images in light of simple deep networks. Experimental results on a diversity of data sets demonstrate the discriminant ability of proposed MMC methods are compenent to be adopted in complicated application scenarios.Comment: 14 page

Heat storage in upper and lower body during high-intensity exercise in athletes with spinal cord injuries

Background: The thermophysiology of athletes with spinal cord injuries (SCI) is not well understood. Spinal cord lesions impact muscle mass, thermoregulatory neural signals and circulatory function. Understanding SCI thermoregulation physiology would benefit exercise function. Therefore, this study was designed to describe heat storage in the upper and lower bodies of SCI and able-bodied (AB) athletes. Procedure: Seven SCI and 8 AB athletes (matched for arm-crank VO2 peak) performed a ramp protocol in an environment similar to an indoor competitive environment (21˚C±1.5˚C, 55±3% relative humidity).Results: SCI athletes experienced similar upper-body heat storage of 0.82±0.59 J.g-1 and lower-body heat storage of 0.47±0.33 J.g-1 compared with that of AB athletes at 0.80±0.61 J.g-1 and 0.27±0.22 J.g-1 for upper and lower body, respectively. There were no significant differences between groups for rectal temperature (Trec) or oesophageal temperature (Tes). However, mean skin temperature (Msk) was significantly higher for SCI throughout the exercise bout (p=0.006). Conclusions: The results of this study suggest that SCI and AB athletes appear to thermoregulate in a similar manner, though SCI tend to store slightly more heat

Computation in Physical Systems: A Normative Mapping Account

The relationship between abstract formal procedures and the activities of actual physical systems has proved to be surprisingly subtle and controversial, and there are a number of competing accounts of when a physical system can be properly said to implement a mathematical formalism and hence perform a computation. I defend an account wherein computational descriptions of physical systems are high-level normative interpretations motivated by our pragmatic concerns. Furthermore, the criteria of utility and success vary according to our diverse purposes and pragmatic goals. Hence there is no independent or uniform fact to the matter, and I advance the ‘anti-realist’ conclusion that computational descriptions of physical systems are not founded upon deep ontological distinctions, but rather upon interest-relative human conventions. Hence physical computation is a ‘conventional’ rather than a ‘natural’ kind