39,559 research outputs found

    Classifying textile designs using region graphs

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    Capstone 2019 Art and Art History Senior Projects

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    This booklet profiles Art Senior Projects by Angelique J. Acevedo, Arin Brault, Bailey Harper, Sue Holz, Yirui Jia, Jianrui Li, Annora B. Mack, Emma C. Mugford, Inayah D. Sherry, Jacob H. Smalley, Laura Grace Waters and Laurel J. Wilson. This booklet profiles Art History Senior Projects by Gabriella Bucci, Melissa Casale, Bailey Harper, Erin O\u27Brien and Laura Grace Waters

    Juvenile idiopathic arthritis – an update on its diagnosis and management

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    Juvenile idiopathic arthritis (JIA) is the most common form of chronic arthritis in children and the most  common cause of musculoskeletal disability in children. Early diagnosis may be challenging, but it is essential  to ensure good outcomes. This review proposes an approach to the investigation and diagnosis of JIA. It also  gives a summary of the latest available evidence-based treatment for this disease

    XIYUAN ENTERTAINMENT COMPLEX

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    Invited competition entry for an entertainment complex in Beijing P.R.China [first prize, followed by stage C proposal] Client: Beijing Xinjing Yihe Real Estate Development Ltd Design: marcosandmarjan with Jia Lu Competition stage: with Jia Lu and Steve Pike Collaborators: Nat Keast, Shaun Siu Chong, James Pike, Sirichai Bunchua Renderings: Mark Exon, Samuel White, Kenny Tsui, Tamsin Green, Jessica Lee) Model: Sirichai Bunchua, Keith Watson, Andy Shawn Engineering: Beijing Design Institut

    The Physics of Flavor is the Flavor of Physics

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    Summary Talk: International Conference of Flavor Physics (ICFP 2001). Zhang-Jia-Jie. Hunan, China (May / June 2001)Comment: 10 page

    Session 3-4-C: Are Lottery Players Affected by Random Shocks? Evidence from China’s Individual Lottery Betting Panel Data

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    I explore a unique, individual level, lottery betting panel data and show that lottery gambling is significantly affected by lottery winning history even though this winning history is shown to be merely an exogenous random shock. This panel data records lottery players’ collective lottery betting behaviors on a Chinese online lottery purchase website. This website lists each player’s lottery investment performance, the ratio between the lottery return and the lottery investment in the past three months, for lottery players’ reference and this ratio is shown to be an independent random shock across players. Based on the data with around 400,000 observations, I find that this random shock significantly affects lottery players’ purchasing behaviors. Specifically, collective lottery gamblers are significantly more likely to join a lottery package proposed by someone with a higher winning rate; lottery players are spending more money on the proposers with higher return rates

    Prevalence of juvenile idiophatic arthritis in Colombia

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    To estimate the prevalence of Juvenile Idiophatic Arthritis (JIA) in Colombia. This cross-sectional study identified patients with a diagnosis code for AIJ (ICD-10 M08-M09) using a nationally-representative database of health care resource utilization provided by the “Sistema Integral de Información de la Protección Social (SISPRO)” in 2017. In addition, estimated prevalence was contrasted using data of personal history of JIA using a database of patients with ≤ 16 years affiliated to a subsidized-regime insurance company (N = 397,160) of the Caribbean region of Colombia. The estimated prevalences were extrapolated to the overall Colombian population using the demographic projections of individuals with ≤ 16 years of age (14,588,845) provided by the Departamento Administrativo Nacional de Estadisticas (DANE). In 2017, the prevalence of JIA in the subsidized-regime company was 13 per 100,000 (52/397.160). According to the data of SISPRO the prevalence of JIA in Colombia was 10.9 per 100,000 (1,602/14,588,845). Extrapolating these estimations to the general population of Colombia, the estimated number of prevalent cases of JIA in Colombia could be approximately 1.602 and 1.896 cases, respectively. These estimations are lower in Colombia compared to previously reported prevalence globally (between 60 and 400 cases per 100,000)

    Comment on "Position-dependent effective mass Dirac equations with PT- symmetric and non - PT- symmetric potentials" [J. Phys. A: Math. Gen. 39 (2006) 11877--11887]

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    Jia and Dutra (J. Phys. A: Math. Gen. 39 (2006) 11877) have considered the one-dimensional non-Hermitian complexified potentials with real spectra in the context of position-dependent mass in Dirac equation. In their second example, a smooth step shape mass distribution is considered and a non-Hermitian non - PT- symmetric Lorentz vector potential is obtained. They have mapped this problem into an exactly solvable Rosen-Morse Schrodinger model and claimed that the energy spectrum is real. The energy spectrum they have reported is pure imaginary or at best forms an empty set. Their claim on the reality of the energy spectrum is fragile, therefore.Comment: 3 pages, 1 figure. To appear in J. Phys.

    Learning Grimaces by Watching TV

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    Differently from computer vision systems which require explicit supervision, humans can learn facial expressions by observing people in their environment. In this paper, we look at how similar capabilities could be developed in machine vision. As a starting point, we consider the problem of relating facial expressions to objectively measurable events occurring in videos. In particular, we consider a gameshow in which contestants play to win significant sums of money. We extract events affecting the game and corresponding facial expressions objectively and automatically from the videos, obtaining large quantities of labelled data for our study. We also develop, using benchmarks such as FER and SFEW 2.0, state-of-the-art deep neural networks for facial expression recognition, showing that pre-training on face verification data can be highly beneficial for this task. Then, we extend these models to use facial expressions to predict events in videos and learn nameable expressions from them. The dataset and emotion recognition models are available at http://www.robots.ox.ac.uk/~vgg/data/facevalueComment: British Machine Vision Conference (BMVC) 201
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