174 research outputs found

    Parent Empowerment and Mental Health: Understanding Parent Perceptions of the Educational Experience

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    Parents of children with autism spectrum disorders (ASD) are important partners with schools in ensuring effective education, and it is important to examine the factors that influence parent perceptions of their children’s educational experience. The purpose of this study was to investigate the relations among parent empowerment, parent mental health, and perceptions of children’s educational experience in 176 parents of children with ASD. Parent empowerment and mental health were found to be significant predictors of parents’ perceptions of their child’s educational experience. The importance of understanding constructs such as empowerment and mental health and how they relate to school satisfaction is discussed

    Low-Background gamma counting at the Kimballton Underground Research Facility

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    The next generation of low-background physics experiments will require the use of materials with unprecedented radio-purity. A gamma-counting facility at the Kimballton Underground Research Facility (KURF) has been commissioned to perform initial screening of materials for radioactivity primarily from nuclides in the 238U and 232Th decay chains, 40K and cosmic-ray induced isotopes. The facility consists of two commercial low-background high purity germanium (HPGe) detectors. A continuum background reduction better than a factor of 10 was achieved by going underground. This paper describes the facility, detector systems, analysis techniques and selected assay results.Comment: 7 pages, 7 figures. Submitted to NIM

    Plugged in: Electronics use in youth and young adults with Autism Spectrum Disorder

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    Although electronic technology currently plays an integral role for most youth, there are growing concerns of its excessive and compulsive use. The current study documents patterns and impact of electronics use in individuals with Autism Spectrum Disorder (ASD) compared to typically developing peers. Participants included 172 parents of typically developing individuals and 139 parents of individuals with an ASD diagnosis, ranging in age from 6 to 21 years. Parents completed an online survey of demographics and the frequency, duration, and problematic patterns of electronics use in their youth and young adults. Individuals with ASD were reported to use certain electronics more often in the last month and on an average day, and had greater compulsive Internet and video game use than individuals without ASD. Across both samples, males used video games more often than females. Compared to parents of individuals without ASD, parents of individuals with ASD were significantly more likely to report that electronics use was currently having a negative impact. The implications of problematic electronics use for individuals with ASD are discussed

    Status of the MAJORANA DEMONSTRATOR experiment

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    The MAJORANA DEMONSTRATOR neutrinoless double beta-decay experiment is currently under construction at the Sanford Underground Research Facility in South Dakota, USA. An overview and status of the experiment are given.Comment: 8 pages, proceeding from VII International Conference on Interconnections between Particle Physics and Cosmology (PPC 2013), submitted to AIP proceeding

    Improving Photoelectron Counting and Particle Identification in Scintillation Detectors with Bayesian Techniques

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    Many current and future dark matter and neutrino detectors are designed to measure scintillation light with a large array of photomultiplier tubes (PMTs). The energy resolution and particle identification capabilities of these detectors depend in part on the ability to accurately identify individual photoelectrons in PMT waveforms despite large variability in pulse amplitudes and pulse pileup. We describe a Bayesian technique that can identify the times of individual photoelectrons in a sampled PMT waveform without deconvolution, even when pileup is present. To demonstrate the technique, we apply it to the general problem of particle identification in single-phase liquid argon dark matter detectors. Using the output of the Bayesian photoelectron counting algorithm described in this paper, we construct several test statistics for rejection of backgrounds for dark matter searches in argon. Compared to simpler methods based on either observed charge or peak finding, the photoelectron counting technique improves both energy resolution and particle identification of low energy events in calibration data from the DEAP-1 detector and simulation of the larger MiniCLEAN dark matter detector.Comment: 16 pages, 16 figure
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