450 research outputs found

    Alien Registration- Quann, Ivy D. (Bingham, Somerset County)

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    https://digitalmaine.com/alien_docs/8648/thumbnail.jp

    A possible shock effect associated with seaquakes

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    The effects of earthquakes felt on board vessels at sea are discussed along with the possibility of cohesive shock wave propagating through the ocean. The large earthquake of shallow focus which occurred on 29 April 1970, in the Guatemala Basin is analyzed. The thermal information recorded by ITOS-1 spacecraft showed an anomalous temperature enhancement of +3 K in the immediate vicinity, indicating a thermal effect attributed to shock waves

    Beyond the Loss of a Child in the NICU: The Social Worker\u27s Role

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    The following is a two-paper dissertation exploring the role of social workers in the Neonatal Intensive Care Unit (NICU). The classical and contemporary perspectives of grief theory provide the framework for understanding emotional responses of bereaved parents to the death of a child. The academic social work, medical, and nursing literature reviewed support the hypothesis that social workers are an insufficiently tapped resource in working with bereaved parents who have experienced perinatal loss in the NICU and revealed contributing factors for current medical social work practices. The accompanying article discusses the role of social workers and the areas that demonstrate their expertise. The article also conceptualizes the design of a bereavement program for perinatal loss using the established adult and pediatric hospice and palliative care models. This dissertation contributes to social work practice in the NICU and grief literature knowledge base by acknowledging the disenfranchisement of bereaved parents who have experienced perinatal loss in the NICU, supporting collaborations with other professionals on the NICU interdisciplinary team, and proposing a prospectus program design

    Atmospheric and Oceanographic Information Processing System (AOIPS) system description

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    The development of hardware and software for an interactive, minicomputer based processing and display system for atmospheric and oceanographic information extraction and image data analysis is described. The major applications of the system are discussed as well as enhancements planned for the future

    Consuming the daily recommended amounts of dairy products would reduce the prevalence of inadequate micronutrient intakes in the United States: diet modelling study based on NHANES 2007–2010

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    Background: A large portion of Americans are not meeting the Dietary Reference Intakes (DRI) for several essential vitamins and minerals due to poor dietary choices. Dairy products are a key source of many of the nutrients that are under consumed, but children and adults do not consume the recommended amounts from this food group. This study modelled the impact of meeting daily recommended amounts of dairy products on population-based nutrient intakes.Methods: Two-day 24-h dietary recalls collected from participants ≥2 years (n = 8944) from the 2007–2010 What We Eat in America, National Health and Nutrition Examination Survey (NHANES) were analysed. Databases available from the WWEIA/NHANES and the United States Department of Agriculture (USDA) were used to determine nutrient, food group, and dietary supplement intakes. Modelling was performed by adding the necessary number of dairy servings, using the dairy composite designed by USDA, to each participant’s diet to meet the dairy recommendations outlined by the 2010 Dietary Guidelines for Americans. All analyses included sample weights to account for the NHANES survey design.Results: The majority of children 4 years and older (67.4–88.8 %) and nearly all adults (99.0–99.6 %) fall below the recommended 2.5-3 daily servings of dairy products. Increasing dairy consumption to recommended amounts would result in a significant reduction in the percent of adults with calcium, magnesium, and vitamin A intakes below the Estimated Average Requirement (EAR) when considering food intake alone (0–2.0 vs. 9.9–91.1 %; 17.3–75.0 vs. 44.7–88.5 %; 0.1–15.1 vs. 15.3–48.0 %, respectively), as well as food and dietary supplement intake. Minimal, but significant, improvements were observed for the percent of people below the EAR for vitamin D (91.7 99.9 vs. 91.8–99.9 %), and little change was achieved for the large percentage of people below the Adequate Intake for potassium.Conclusions: Increasing dairy food consumption to recommended amounts is one practical dietary change that could significantly improve the population’s adequacy for certain vitamins and minerals that are currently under-consumed, as well as have a positive impact on health.Keywords: Nutrients; Nutrient adequacy; Dairy; Nutrition and health; NHANE

    How do clinicians adapt cognitive analytic therapy to work with adults with avoidant and anxious attachment styles? A qualitative study

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    This is a qualitative investigation of how experienced clinicians adapt Cognitive Analytic Therapy (CAT) to work more effectively with clients who demonstrate avoidant or anxious attachment styles. Clinical vignettes were devised and validated to conceptualise the attachment styles and these were used as prompts in interviews exploring what therapy adaptations were made. An inductive Thematic Analysis was used as the method of qualitative analysis to examine the themes that emerged. The following themes came from the data: Creating achievable interpersonal and intrapersonal therapeutic goals, Achieving optimum affect for therapeutic work, Achieving optimum relational distance for therapeutic work and Focusing on anticipating and resolving ruptures. These themes are discussed with theoretical and clinical implications in mind as well as an evaluation of study methodology

    Ground Robot Energy Prediction and Reachability in Off-Road Environments Through Spatial Terrain Mapping

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    For robotic applications, energy is a key resource that can both enable and limit the tasks that a robot can perform in an environment. In off-road environments, ground robots may traverse numerous different terrains with significantly and spatially varying energy costs. The cost of a particular robot moving through such an environment is likely to be uncertain, making mission planning and decision-making challenging. In this dissertation, we develop methods that use information on terrain traversal energy costs, collected during robot operation, so that future energy costs for the robot can be more accurately and confidently predicted. The foundation of these methods is to build a spatial map of the energy costs in an environment, while characterizing the uncertainty in those costs, using a technique known as Gaussian process regression (GPR). This map can be used to improve performance in important robotic applications, including path and mission planning. First, we present a 2-dimensional energy mapping formulation, based on GPR, that properly considers the correlation in path energy costs for computing the uncertainty in the predicted energy cost of a path through the environment. With this formulation, we define a robot's chance constrained reachability as the set of locations that the robot can reach, under a user-defined confidence level, without depleting its energy budget. Simulation results show that as a robot collects more data on the environment, the reachable set becomes more accurately known, making it a useful tool for mission planning applications. Next, we extend the spatial mapping formulation to 3-dimensional environments by considering both data-driven and vehicle modeling strategies. Experimental testing is performed on ground robot platforms in an environment with varied terrains. The results show that the predictive accuracy of the spatial mapping methodology is significantly improved over baseline approaches. Finally, we explore information sharing between heterogeneous robot platforms. Two different robots are likely to have different spatial maps, however, useful information may still be shared between the robots. We present a framework, based multi-task Gaussian process regression (MTGP), for learning the scaling and correlation in costs between different robots, and provide simulation and experimental results demonstrating its effectiveness. Using the framework, robot heterogeneity can be leveraged to improve performance in planning applications.PHDMechanical EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttps://deepblue.lib.umich.edu/bitstream/2027.42/153361/1/maquann_1.pd

    Dendrochronological dating of coal mine workings at the Joggins Fossil Cliffs, Nova Scotia, Canada

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    Joggins, Nova Scotia was one of the first places in North America where coal was mined. In this paper we employ dendrochronology to date timber pit props preserved within relic coal mine workings on the closely adjacent Fundy and Dirty seams. These remains comprise a system of adits created through ‘room and pillar’ mining. Of the seventy-three samples collected, forty-eight were successfully cross-dated against a local red spruce (Picea rubens Sarg.) master chronology thereby establishing the year in which each individual sample was cut as a live tree. Results indicate cut dates of 1849-1875 which are generally consistent with written archival records of mining activity on these coal seams. Our analysis of fourteen separate adits allows us to distinguish two phases of mining. Most adits (numbers 1-9 and 11-12 with cut dates of 1849-1868) are relics of an initial operation by the General Mining Association (1865-1871), which opened a mine entered at beach level. Dendrochronological dates preceding the opening of this mine may suggest that timber stockpiled from the nearby Joggins Mine (opened 1847) was used in its construction. The remaining adits (numbers 10 and 13-14 with cut dates of 1873-1875) are probably relics of a later mine opened by the Joggins Coal Mining Company (1872-1877). Although this mine was centered ~500 m inland, its western peripheral workings passed through the earlier workings to the shore. Findings improve knowledge of the industrial archaeology of the UNESCO World Heritage Site and help refine the regional master red spruce chronology for future dendrochronological studies
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