10,397 research outputs found

    Identifying Endogenous Peer Effects in the Spread of Obesity

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    Recent research in the New England Journal of Medicine (NEJM) purports to show the existence of peer effects in the spread of obesity. Using a dataset of 5124 residents from Framingham, Massachusetts spanning the years 1971 to 2003, the authors show correlations between own weight gain and friends’ and relatives’ weight gain over this period. They find, furthermore, that these results are strongest for males and weaker for females. We use the Adolescent Health Survey, a nationally representative dataset of seventh through twelfth graders in 1994 and 1996 to examine the effect of peers on weight gain. Despite the differences in the samples, we are able to replicate the pattern of results in the NEJM study. However the results are not robust to alternative definitions of the outcome variable. Furthermore, due to the various identification issues that are unresolved in both this and the NEJM paper, we conclude that the evidence for contagion effects in the spread of obesity is only suggestive at best.Peer effects, obesity, adolescent health

    Bad Apples, Goody Two Shoes and Average Joes: The Role of Peer Group Definitions in Estimation of Peer Effects

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    The potential influence of peers and social networks on individual outcomes is important to a variety of educational policy debates including school vouchers, special education, middle school grade configurations and tracking. Researchers usually address the identification problems associated with credibly estimating peer effects in these settings but often do not account for ad-hoc definitions of peer-groups. In this paper, we use extensive information on peer groups to demonstrate that accurate definitions of the peer network seriously impact estimation of peer effects. We estimate the effect of peers’ smoking, drinking, sexual behavior and educational achievement on a teen’s propensity to engage in like-minded behavior and address the major identification problems that plague estimation of these effects.Peer Effects, Education, Adolescent Health

    Cost-Effective HITs for Relative Similarity Comparisons

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    Similarity comparisons of the form "Is object a more similar to b than to c?" are useful for computer vision and machine learning applications. Unfortunately, an embedding of nn points is specified by n3n^3 triplets, making collecting every triplet an expensive task. In noticing this difficulty, other researchers have investigated more intelligent triplet sampling techniques, but they do not study their effectiveness or their potential drawbacks. Although it is important to reduce the number of collected triplets, it is also important to understand how best to display a triplet collection task to a user. In this work we explore an alternative display for collecting triplets and analyze the monetary cost and speed of the display. We propose best practices for creating cost effective human intelligence tasks for collecting triplets. We show that rather than changing the sampling algorithm, simple changes to the crowdsourcing UI can lead to much higher quality embeddings. We also provide a dataset as well as the labels collected from crowd workers.Comment: 7 pages, 7 figure

    Third-order Intermodulation Reduction in Mobile Power Amplifiers by the First Stage Bias Control

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    In this paper, the third order intermodulation distortion (IMD3) of three-stage power amplifier (PA) is analyzed using the Volterra series. The analysis explains how the total IMD3 of the three-stage power amplifier can be reduced by the first-stage bias condition. The three-stage PA, which is fabricated using InGaP/GaAs hetero-junction bipolar transistor (HBT), operates with an optimized first driver stage bias for higher P1dB and good gain flatness. The power amplifier has been designed for 1626.5 MHz~1660.5 MHz satellite mobile communications. With π/4 DQPSK modulation signals, this PA can deliver a highly linear output power of 33 dBm from 3.6V supply voltage. At 33 dBm output power, it shows a gain of 31.9 dB, a power-added efficiency (PAE) of 39.8%, an adjacent channel power ratio (ACPR) of -28.2 dBc at a 31.25 KHz offset frequency

    Three-dimensional incompressible Navier-Stokes computations of internal flows

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    Several incompressible Navier-Stokes solution methods for obtaining steady and unsteady solutions are discussed. Special attention is given to internal flows which involve distinctly different features from external flows. The characterisitcs of the flow solvers employing the method of pseudocompressibility and a fractional step method are briefly described. This discussion is limited to a primitive variable formulation in generalized curvilinear coordinates. Computed results include simple test cases and internal flow in the Space Shuttle main engine hot-gas manifold

    A computational method for viscous incompressible flows

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    An implicit, finite-difference procedure for numerically solving viscous incompressible flows is presented. The pressure-field solution is based on the pseudocompressibility method in which a time-derivative pressure term is introduced into the mass-conservation equation to form a set of hyperbolic equations. The pressure-wave propagation and the spreading of the viscous effect is investigated using simple test problems. Computed results for external and internal flows are presented to verify the present method which has proved to be very robust in simulating incompressible flows

    Potential applications of computational fluid dynamics to biofluid analysis

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    Computational fluid dynamics was developed to the stage where it has become an indispensable part of aerospace research and design. In view of advances made in aerospace applications, the computational approach can be used for biofluid mechanics research. Several flow simulation methods developed for aerospace problems are briefly discussed for potential applications to biofluids, especially to blood flow analysis

    Three-dimensional time dependent computation of turbulent flow

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    The three-dimensional, primitive equations of motion are solved numerically for the case of isotropic box turbulence and the distortion of homogeneous turbulence by irrotational plane strain at large Reynolds numbers. A Gaussian filter is applied to governing equations to define the large scale field. This gives rise to additional second order computed scale stresses (Leonard stresses). The residual stresses are simulated through an eddy viscosity. Uniform grids are used, with a fourth order differencing scheme in space and a second order Adams-Bashforth predictor for explicit time stepping. The results are compared to the experiments and statistical information extracted from the computer generated data

    INS3D: An incompressible Navier-Stokes code in generalized three-dimensional coordinates

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    The operation of the INS3D code, which computes steady-state solutions to the incompressible Navier-Stokes equations, is described. The flow solver utilizes a pseudocompressibility approach combined with an approximate factorization scheme. This manual describes key operating features to orient new users. This includes the organization of the code, description of the input parameters, description of each subroutine, and sample problems. Details for more extended operations, including possible code modifications, are given in the appendix
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