9,938 research outputs found

    Large-scale energy spectra in surface quasi-geostrophic turbulence

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    The large-scale energy spectrum in two-dimensional turbulence governed by the surface quasi-geostrophic (SQG) equation ∂t(−Δ)1/2ψ+J(ψ,(−Δ)1/2ψ)=μΔψ+f\partial_t(-\Delta)^{1/2}\psi+J(\psi,(-\Delta)^{1/2}\psi) =\mu\Delta\psi+f is studied. The nonlinear transfer of this system conserves the two quadratic quantities Ψ1=/2\Psi_1=/2 and Ψ2=/2\Psi_2=/2 (kinetic energy), where denotes a spatial average. The energy density Ψ2\Psi_2 is bounded and its spectrum Ψ2(k)\Psi_2(k) is shallower than k−1k^{-1} in the inverse-transfer range. For bounded turbulence, Ψ2(k)\Psi_2(k) in the low-wavenumber region can be bounded by CkCk where CC is a constant independent of kk but dependent on the domain size. Results from numerical simulations confirming the theoretical predictions are presented.Comment: 11 pages, 4 figures, to appear in JF

    Linear degree growth in lattice equations

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    We conjecture recurrence relations satisfied by the degrees of some linearizable lattice equations. This helps to prove linear growth of these equations. We then use these recurrences to search for lattice equations that have linear growth and hence are linearizable

    DeepSoft: A vision for a deep model of software

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    Although software analytics has experienced rapid growth as a research area, it has not yet reached its full potential for wide industrial adoption. Most of the existing work in software analytics still relies heavily on costly manual feature engineering processes, and they mainly address the traditional classification problems, as opposed to predicting future events. We present a vision for \emph{DeepSoft}, an \emph{end-to-end} generic framework for modeling software and its development process to predict future risks and recommend interventions. DeepSoft, partly inspired by human memory, is built upon the powerful deep learning-based Long Short Term Memory architecture that is capable of learning long-term temporal dependencies that occur in software evolution. Such deep learned patterns of software can be used to address a range of challenging problems such as code and task recommendation and prediction. DeepSoft provides a new approach for research into modeling of source code, risk prediction and mitigation, developer modeling, and automatically generating code patches from bug reports.Comment: FSE 201

    From Yokohama to Manchuria: a photography-based investigation of nostalgia in the construction of Japanese landscape.

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    This practice-based research examines, analyses and responds to the use of nostalgia as an ideological mechanism in the development of Japanese national identity and as an integral aspect of modernity. In discussions of the construction of national identities, whether in terms of 'narrative' or material culture, image' and 'vision' have generally been used as metaphorical terms. This thesis investigates the use of nostalgia in photography as a de facto visual construction of national space. Three groups of archive photographic material are examined; landscapes of the late 19th century genre of Yokohama shashin, or tourist photo, pictorial photography of the Taishö-period (1912 - 1926), and propaganda photography produced in Japanese-occupied Manchuria from the 30s and 40s. Nostalgia is then investigated in contemporary sites of leisure and consumerism, where it is considered as elemental in attempts to redefine the identity of Japan as a post-industrial society. In exploring the use of nostalgia in different historical periods and styles of photography, the primary objective of this research is not to provide a critique of the formal attributes of these images. It is rather to examine, both theoretically and visually, nostalgia's reoccurrence as a mechanism of historical erasure, in which each manifestation posits its own version of authenticity

    Clarifying Meal Planning Information

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    SME Access to Credit

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    The aim of this paper is to inform the reader about the access to credit of small and medium sized enterprises (SMEs) in Vietnam based on two SME surveys. Recent evidence from a variety of sources suggests that credit to available to SMEs has increased over the past few years. This is confirmed by the two SME surveys. Fewer firms which applied for credit in 2005 were denied credit as compared to 2002. However, the rapid development of the private sector has also increased demand for credit (especially among the larger SMEs); and it appears that the formal financial sector is just managing to keep track with growth in general. We conclude by discussing these results and formulate a set of policy recommendations.Vietnam; credit constraints; financial markets

    SME Fringe Benefits Provision

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    The aim of this paper is to inform the reader about the distribution of fringe benefits provided to employees by firms in 10 provinces of Vietnam. Five types of benefits are considered: Annual leave, maternity leave, sick leave, social insurance and health insurance. We especially focus on whether the gender of the owner has an effect on the fringe benefits provided. It appears that women firm owners are more likely to provide employees with fringes, and this gender effect exists primarily in non-household enterprises and is robust to the inclusion of standard determinants of wage compensation. We dscuss these results and formulate a set ofpolicy recommendations.Vietnam; gender; fringe benefits
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