11,527 research outputs found

    Socioeconomic status and neural processing of a go/no-go task in preschoolers: an assessment of the P3b

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    While it is well established that lower socioeconomic status (SES) is associated with poorer executive functioning (EF), how SES relates to the neural processing of EF in childhood remains largely unexplored. We examined how household income and parent education related to amplitudes of the P3b, an event-related potential component, during one EF task. We assessed the P3b, indexing inhibition and attention allocation processes, given the importance of these skills for academic success. Children aged 4.5-5.5 years completed a go/no-task, which assesses inhibitory control and attention, while recording EEG. The P3b was assessed for both go trials (indexing sustained attention) and no-go trials (indexing inhibition processes). Higher household income was related to larger P3b amplitudes on both go and no-go trials. This was a highly educated sample, thus results indicate that P3b amplitudes are sensitive to household income even within the context of high parental education. Findings build on the behavioral literature and demonstrate that SES also has implications for the neural mechanisms underlying inhibition and attention processing in early childhood.Published versio

    Minimizing Bias in Biomass Allometry: Model Selection and Log‐Transformation of Data

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    Nonlinear regression is increasingly used to develop allometric equations for forest biomass estimation (i.e., as opposed to the traditional approach of log‐transformation followed by linear regression). Most statistical software packages, however, assume additive errors by default, violating a key assumption of allometric theory and possibly producing spurious models. Here, we show that such models may bias stand‐level biomass estimates by up to 100 percent in young forests, and we present an alternative nonlinear fitting approach that conforms with allometric theory

    Diffuse X-ray emission in spiral galaxies

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    We compare the soft diffuse X-ray emission from Chandra images of 12 nearby intermediate inclination spiral galaxies to the morphology seen in Halpha, molecular gas, and mid-infrared emission. We find that diffuse X-ray emission is often located along spiral arms in the outer parts of spiral galaxies but tends to be distributed in a rounder morphology in the center. The X-ray morphology in the spiral arms matches that seen in the mid-infrared or Halpha and so implies that the X-ray emission is associated with recent active star formation. We see no strong evidence for X-ray emission trailing the location of high mass star formation in spiral arms. However, population synthesis models predict a high mechanical energy output rate from supernovae for a time period that is about 10 times longer than the lifetime of massive ionizing stars, conflicting with the narrow appearance of the arms in X-rays. The fraction of supernova energy that goes into heating the ISM must depend on environment and is probably higher near sites of active star formation. The X-ray estimated emission measures suggest that the volume filling factors and scale heights are high in the galaxy centers but low in the outer parts of these galaxies. The differences between the X-ray properties and morphology in the centers and outer parts of these galaxies suggest that galactic fountains operate in outer galaxy disks but that winds are primarily driven from galaxy centers.Comment: 28 pages, 4 figures, to be submitted to Ap

    ANALISA BENTUK PERMUKAAN PELAT PENYERAP SPONGE TERHADAP KINERJA SOLAR STILL DOUBLE SLOPE TIPE V

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    This study aims to determine the surface shape of the sponge absorbent plate to the performance of the solar still double slope type V. The surface shape of the sponge absorbent plate uses sponge models of triangles, fins, waves and flat with a thickness of 5 cm. experimental Tests methods use direct solar radiation and using sea water is used as raw material. The experiment produced 4,527 liters of condensate water with highest solar still efficiency of 50.14% using a sponge wave absorber plate with an area of 13,940.76 cm2. The Sea water disability to flow capillary to the surface of the absorbent plate affecting the performance of solar still

    Design of Hamiltonian Monte Carlo for perfect simulation of general continuous distributions

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    Hamiltonian Monte Carlo (HMC) is an efficient method of simulating smooth distributions and has motivated the widely used No-U-turn Sampler (NUTS) and software Stan. We build on NUTS and the technique of “unbiased sampling” to design HMC algorithms that produce perfect simulation of general continuous distributions that are amenable to HMC. Our methods enable separation of Markov chain Monte Carlo convergence error from experimental error, and thereby provide much more powerful MCMC convergence diagnostics than current state-of-the-art summary statistics which confound these two errors. Objective comparison of different MCMC algorithms is provided by the number of derivative evaluations per perfect sample point. We demonstrate the methodology with applications to normal, t and normal mixture distributions up to 100 dimensions, and a 12-dimensional Bayesian Lasso regression. HMC runs effectively with a goal of 20 to 30 points per trajectory. Numbers of derivative evaluations per perfect sample point range from 390 for a univariate normal distribution to 12,000 for a 100-dimensional mixture of two normal distributions with modes separated by six standard deviations, and 22,000 for a 100-dimensional t-distribution with four degrees of freedom

    Faculty Perceptions Of Online Accounting Coursework

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    The perceptions of faculty members, who design and evaluate online accounting coursework content, are an important consideration in determining the quality inherent in such content. This study reports the results of a survey which examines accounting faculty members’ attitudes towards online education (measured as their willingness to accept transfer credit) and various contributing factors that may affect their attitudes.  The results indicate that faculty members harbor significant favoritism toward accepting credit from a student with a traditional, as opposed to an online or blended learning, educational background. Additional results suggest that faculty members’ previous experience with online teaching made no significant impact on their acceptance of transfer credit for the online student; however, faculty members with administrative experience were shown to be more accepting of online education. Furthermore, accounting faculty members generally consider the online educational environment to be less rigorous and less equipped to instill technical and soft skill sets than the traditional educational environment
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