12,739 research outputs found

    SAKE: Student-led, skills-based workshops to support inclusivity within the creative curriculum

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    Prompted by questions surrounding inclusive education in the UK and attainment gaps between degree classifications for home BAME Black, Asian and minority ethnic and home White students in higher education (HE), this article seeks to explore student-led, skills-based workshops as inclusive educational provision for art and design students. Focus group data from student participants in the workshops – entitled SAKE (Skills and Knowledge Exchange) – is discussed here and considered in the light of theories around culture, education, race and identity, including the work of Stuart Hall, Carl Rogers, Dennis Atkinson, David Gillborn

    Accurate, rapid identification of dislocation lines in coherent diffractive imaging via a min-max optimization formulation

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    Defects such as dislocations impact materials properties and their response during external stimuli. Defect engineering has emerged as a possible route to improving the performance of materials over a wide range of applications, including batteries, solar cells, and semiconductors. Imaging these defects in their native operating conditions to establish the structure-function relationship and, ultimately, to improve performance has remained a considerable challenge for both electron-based and x-ray-based imaging techniques. However, the advent of Bragg coherent x-ray diffractive imaging (BCDI) has made possible the 3D imaging of multiple dislocations in nanoparticles ranging in size from 100 nm to1000 nm. While the imaging process succeeds in many cases, nuances in identifying the dislocations has left manual identification as the preferred method. Derivative-based methods are also used, but they can be inaccurate and are computationally inefficient. Here we demonstrate a derivative-free method that is both more accurate and more computationally efficient than either derivative- or human-based methods for identifying 3D dislocation lines in nanocrystal images produced by BCDI. We formulate the problem as a min-max optimization problem and show exceptional accuracy for experimental images. We demonstrate a 260x speedup for a typical experimental dataset with higher accuracy over current methods. We discuss the possibility of using this algorithm as part of a sparsity-based phase retrieval process. We also provide the MATLAB code for use by other researchers

    On the Absence of Cross-Confinement for Dynamically Generated Multi-Chern-Simons Theories

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    We show that when the induced parity breaking part of the effective action for the low-momentum region of U(1) x ... x U(1) Maxwell gauge field theory with massive fermions in 3 dimensions is coupled to a \phi^4 scalar field theory, it is not possible to eliminate the screening of the long-range Coulomb interactions and get external charges confined in the broken Higgs phase. This result is valid for non-zero temperature as well.Comment: 7 pages, LaTe

    Computing the output distribution and selection probabilities of a stack filter from the DNF of its positive Boolean function

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    Many nonlinear filters used in practise are stack filters. An algorithm is presented which calculates the output distribution of an arbitrary stack filter S from the disjunctive normal form (DNF) of its underlying positive Boolean function. The so called selection probabilities can be computed along the way.Comment: This is the version published in Journal of Mathematical Imaging and Vision, online first, 1 august 201

    Large-scale network organization in the avian forebrain: a connectivity matrix and theoretical analysis

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    Many species of birds, including pigeons, possess demonstrable cognitive capacities, and some are capable of cognitive feats matching those of apes. Since mammalian cortex is laminar while the avian telencephalon is nucleated, it is natural to ask whether the brains of these two cognitively capable taxa, despite their apparent anatomical dissimilarities, might exhibit common principles of organisation on some level. Complementing recent investigations of macro-scale brain connectivity in mammals, including humans and macaques, we here present the first large-scale wiring diagram for the forebrain of a bird. Using graph theory, we show that the pigeon telencephalon is organised along similar lines to that of a mammal. Both are modular, small-world networks with a connective core of hub nodes that includes prefrontal-like and hippocampal structures. These hub nodes are, topologically speaking, the most central regions of the pigeon's brain, as well as being the most richly connected, implying a crucial role in information flow. Overall, our analysis suggests that indeed, despite the absence of cortical layers and close to 300 million years of separate evolution, the connectivity of the avian brain conforms to the same organisational principles as the mammalian brain

    Discharge characteristics of dielectric materials examined in mono-, dual-, and spectral energy electron charging environments

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    The effects of midenergy electrons on the charge and discharge characteristics of spacecraft dielectric materials and the data base from which basic discharge models can be formulated is expanded. Thin dielectric materials were exposed to low, mid combined low and mid, and spectral energy electron environments. Three important results are presented: (1) it determined electron environments that lead to dielectric discharges at potentials less negative than -5 kV; (2) two types of discharges were identified that dominate the kinds of discharges seen; and (3) it is shown that, for the thin dielectric materials tested, the worst-case discharges observed in the various environments are similar

    Managerial Incentives and the Valuation of International Joint Venture Formation

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    Strategic management decisions and actions involving international joint venture formations are significant to many firms and have major economic consequences. Previous empirical evidence on the effects of joint venture formation announcements on shareholder wealth reveals that firm value is more often positively impacted. However, many previous analyses of shareholder wealth from joint venture formations do not fully explore cross-sectional differences in managerial incentives to pursue these international investments. The primary purpose of this study is to exploit these cross-sectional differences using agency theory to explain managerial behavior and subsequent shareholder effects. This study capitalizes on agency theory’s notion that managers are not necessarily motivated solely by the maximization of firm value, but instead are interested in maximizing their own utility. The study’s findings are consistent with agency theoretic hypotheses based on a broad cross-section of international joint ventures. Results demonstrate that shareholder returns to international joint venture formation exhibit considerable variability and, importantly, are at least partially explained by cross-sectional differences in agency incentives. Specifically, returns to shareholders are positively related to the level of managerial ownership and inversely related to the level of free cash flow. Moreover, a positive relation is found between shareholder returns and the joint interaction between leverage and free cash flow. These findings indicate that the effect of international joint venture formation on shareholder value is not uniform and, more importantly is at least partly influenced by managers’ agency incentives
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