Participation factors in optional high school health and physical education

Student enrolment rates in optional health and physical education (HPE) classes have been steadily declining, to the point where most Ontario students stop taking HPE after completion of their one required credit, typically taken in grade nine. This study looked at factors that could contribute to HPE enrolment, sampling 227 grade ten students from five schools. These factors included selfefficacy (SE), perceived autonomy support (PAS), task value (TV), motivational regulation (autonomous, AR; controlled, CR), HPE grade average and body size discrepancy (BSD). Qualitative information was also gathered from students regarding likes and dislikes ofHPE, as well as reasons for their HPE enrolment choice. Cronbach Alpha values of each scale fell within acceptable values. ANOVA analysis revealed differences between enrolment groups in SE, TV, AR, HPE grade average, and BSD (p < .05). Reasons students reported for not taking HPE included a dislike of health classes, scheduling challenges, not needing HPE for future endeavors, concerns about social self-presentation, and a dislike of sports and/or competition. This research shows important differences between students and their HPE class choices and calls for a re-evaluation of how HPE classes are structured, advertised and scheduled by high school practitioners. Future works should look toward what other factors could be at play in students' decisions for or against optional HPE and how those factors interact with the constructs that were found to be of significance in this study. Keywords: Health and physical education, high school students, participation

Conscience, conscientiousness and virtue

No abstract available

Complex Population Dynamics and the Coalescent Under Neutrality

Estimates of the coalescent effective population size Ne can be poorly correlated with the true population size. The relationship between Ne and the population size is sensitive to the way in which birth and death rates vary over time. The problem of inference is exacerbated when the mechanisms underlying population dynamics are complex and depend on many parameters. In instances where nonparametric estimators of Ne such as the skyline struggle to reproduce the correct demographic history, model-based estimators that can draw on prior information about population size and growth rates may be more efficient. A coalescent model is developed for a large class of populations such that the demographic history is described by a deterministic nonlinear dynamical system of arbitrary dimension. This class of demographic model differs from those typically used in population genetics. Birth and death rates are not fixed, and no assumptions are made regarding the fraction of the population sampled. Furthermore, the population may be structured in such a way that gene copies reproduce both within and across demes. For this large class of models, it is shown how to derive the rate of coalescence, as well as the likelihood of a gene genealogy with heterochronous sampling and labeled taxa, and how to simulate a coalescent tree conditional on a complex demographic history. This theoretical framework encapsulates many of the models used by ecologists and epidemiologists and should facilitate the integration of population genetics with the study of mathematical population dynamics

Development and Evaluation of Impact Statements for the Expanded Food and Nutrition Education Program (EFNEP)

Extension professionals often communicate program outcomes to external stakeholders using impact statements. We developed and evaluated four impact statements for the Expanded Food and Nutrition Education Program (EFNEP). We drafted the statements after conducting literature reviews for core content areas of EFNEP that include diet quality, food resource management, physical activity, and food safety. Subsequently, we evaluated the statements by facilitating expert panels made up of subject matter experts and communication professionals (n=14) from 12 Land-grant Universities. These impact statements aim to support EFNEP and other Extension professionals when communicating program value with key external stakeholders

Inferring pandemic growth rates from sequence data

Using sequence data to infer population dynamics is playing an increasing role in the analysis of outbreaks. The most common methods in use, based on coalescent inference, have been widely used but not extensively tested against simulated epidemics. Here, we use simulated data to test the ability of both parametric and non-parametric methods for inference of effective population size (coded in the popular BEAST package) to reconstruct epidemic dynamics. We consider a range of simulations centred on scenarios considered plausible for pandemic influenza, but our conclusions are generic for any exponentially growing epidemic. We highlight systematic biases in non-parametric effective population size estimation. The most prominent such bias leads to the false inference of slowing of epidemic spread in the recent past even when the real epidemic is growing exponentially. We suggest some sampling strategies that could reduce (but not eliminate) some of the biases. Parametric methods can correct for these biases if the infected population size is large. We also explore how some poor sampling strategies (e.g. that over-represent epidemiologically linked clusters of cases) could dramatically exacerbate bias in an uncontrolled manner. Finally, we present a simple diagnostic indicator, based on coalescent density and which can easily be applied to reconstructed phylogenies, that identifies time-periods for which effective population size estimates are less likely to be biased. We illustrate this with an application to the 2009 H1N1 pandemic

Laser Calibration System for Time of Flight Scintillator Arrays

A laser calibration system was developed for monitoring and calibrating time of flight (TOF) scintillating detector arrays. The system includes setups for both small- and large-scale scintillator arrays. Following test-bench characterization, the laser system was recently commissioned in experimental Hall B at the Thomas Jefferson National Accelerator Facility for use on the new Backward Angle Neutron Detector (BAND) scintillator array. The system successfully provided time walk corrections, absolute time calibration, and TOF drift correction for the scintillators in BAND. This showcases the general applicability of the system for use on high-precision TOF detectors.Comment: 11 pages, 11 figure