58,278 research outputs found
A review of the state of the art in Machine Learning on the Semantic Web: Technical Report CSTR-05-003
The âBrain Drainâ Academic and Skilled Migration to the UK and its Impacts on Africa
In December 2004 the Association of University Teachers and the College and Lecturers Union NATFHE jointly commissioned research to review some of the literature on âthe Brain Drainâ with a specific emphasis on developing countries in Africa and on academic labour in the UK. This report is the culmination of that research. The project aimed to review some of the available literature on the âBrain Drainâ, to locate this in debates and contemporary approaches to international development and to consider especially the impact of the Brain Drain on Africa, where possible drawing reference to the impact on higher education. The report also considers the scale of migration to work in UK higher education and suggests ways in which AUT/NATFHE might work together and with others to offset the impact of Brain Drain factors and to build the capacity of higher education, and those working in it, in developing countries. Migration is an emotive issue and debate in this country is often shaped by populist and right-wing arguments, sometimes with racist and xenophobic undertones. This project aimed to develop a more progressive approach to the debate on migration, explicitly addressing the motivations behind migration decisions. This project was shaped by a background understanding that the UK undoubtedly benefits enormously from skilled labour migration, economically, socially and culturally. However, the project is also shaped by a concern to ensure that individual choices to migrate are taken freely, not as a result of political repression, a lack of life chances or vocational opportunities. The project also aimed to assess the extent to which skilled labour migration, and the unequal relationships between rich and developing countries which drives it, is further embedding that inequality. Failing to address these issues, risks leaving the debate on migration to those that seek to use the issue to generate a regressive and dangerous politics of fear and difference
Managing Development: EU and African Relations through the evolution of the Lomé and Cotonou Agreements
The relationship between the European Union 1 and Africa has been formalised since the beginning of the European integration project in the evolving YaoundĂ©, LomĂ© and now Cotonou Agreements. The relationship has shifted in line with the emerging global framework for neoliberal accumulation. This shift has involved the re-designingâ of developmental strategies and their âlocking-inâ in the long term. Theoretically, this global shift in the organisation of both production and social relations (including popular understandings) has been well documented and the changing dominant patterns of production in advanced industrial economies has been highlighted at length. However, this article aims to develop further the idea of âlocking-inâ, outlined in the work of Stephen Gill, and to place an increased emphasis on the phenomena of both re-designing and locking-in as they apply to the alteration of developmental strategies in Less Developed Countries (LDCs), among which those in Africa have suffered from extreme marginalisation and exploitation. This article reveals the often ignored role of the EU in this process. It argues that the EU, through its institutionalised link with Africa, has played a key role in re-designing developmental strategies to complement the global shift to neoliberal accumulation which, in its latest phase, is aimed particularly at the complex, multifaceted and increasingly integrated project to âlock-inâ the gains of capital over labour on a global scale. The article begins with a brief introduction to the complementary projects of âre-designingâ and âlocking-inâ before considering these against the historical evolution of the LomĂ© and Cotonou relationship
Constrained Hyperbolic Divergence Cleaning for Smoothed Particle Magnetohydrodynamics
We present a constrained formulation of Dedner et al's hyperbolic/parabolic
divergence cleaning scheme for enforcing the \nabla\dot B = 0 constraint in
Smoothed Particle Magnetohydrodynamics (SPMHD) simulations. The constraint we
impose is that energy removed must either be conserved or dissipated, such that
the scheme is guaranteed to decrease the overall magnetic energy. This is shown
to require use of conjugate numerical operators for evaluating \nabla\dot B and
\nabla{\psi} in the SPMHD cleaning equations. The resulting scheme is shown to
be stable at density jumps and free boundaries, in contrast to an earlier
implementation by Price & Monaghan (2005). Optimal values of the damping
parameter are found to be {\sigma} = 0.2-0.3 in 2D and {\sigma} = 0.8-1.2 in
3D. With these parameters, our constrained Hamiltonian formulation is found to
provide an effective means of enforcing the divergence constraint in SPMHD,
typically maintaining average values of h |\nabla\dot B| / |B| to 0.1-1%, up to
an order of magnitude better than artificial resistivity without the associated
dissipation in the physical field. Furthermore, when applied to realistic, 3D
simulations we find an improvement of up to two orders of magnitude in momentum
conservation with a corresponding improvement in numerical stability at
essentially zero additional computational expense.Comment: 28 pages, 25 figures, accepted to J. Comput. Phys. Movies at
http://www.youtube.com/playlist?list=PL215D649FD0BDA466 v2: fixed inverted
figs 1,4,6, and several color bar
Improving announcement media for technical reports
Computer and photographic printing and publishing methods for announcing technical report literatur
The introduction of microfiche for disseminating technical information in the United States
Development of microfiche for disseminating technical informatio
A Cluster Elastic Net for Multivariate Regression
We propose a method for estimating coefficients in multivariate regression
when there is a clustering structure to the response variables. The proposed
method includes a fusion penalty, to shrink the difference in fitted values
from responses in the same cluster, and an L1 penalty for simultaneous variable
selection and estimation. The method can be used when the grouping structure of
the response variables is known or unknown. When the clustering structure is
unknown the method will simultaneously estimate the clusters of the response
and the regression coefficients. Theoretical results are presented for the
penalized least squares case, including asymptotic results allowing for p >> n.
We extend our method to the setting where the responses are binomial variables.
We propose a coordinate descent algorithm for both the normal and binomial
likelihood, which can easily be extended to other generalized linear model
(GLM) settings. Simulations and data examples from business operations and
genomics are presented to show the merits of both the least squares and
binomial methods.Comment: 37 Pages, 11 Figure
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