264 research outputs found

    Wearing the Label of Mental Illness: Community-Based Participatory Action Research of Mental Illness Stigma

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    Stigma remains an impediment to seeking and receiving the requisite care for mental illness. To enhance a local National Alliance for Mental Illness (NAMI) affiliate’s understanding of community members’ perceptions of mental illness and its associated stigma, a community-based participatory action research study was conducted. The study addressed the following research question: how do community members understand and experience the stigma associated with mental illness? Twenty-two participant-researchers wore mental illness labeled T-shirts around the local community, recorded their observations and reflections of this experience and recruited twenty-two community members for semi-structured interviews about mental illness stigma. Domain analysis of the interviews revealed community members’ understandings of (1) sources of stigma, (2) impacts of stigma, (3) conceptualizations of stigma and (4) pathways to change stigma. Findings were presented to members of the local NAMI affiliate as well as other community members. Practical implications, specific to the community of interest, are discussed

    The Grizzly, February 13, 1987

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    Greek Life Grits Teeth at State\u27s Hazing Law • Free Roses for Lorelei • Letter: Fellow Student Reports on Chang • News Notes: R.A. Selection Underway; St. Andrew\u27s Scholarship; National Women in Sports Day • Bears Bump LaSalle and Haverford, Racich Wins 100th • Udovich\u27s Career High Leaves Bears to 74-69 Win • Mer Men\u27s Streak Ends vs. Loyola • Gymnastics Takes Fourth Win • Track Men Break Records • Swimmin Women on Warpathhttps://digitalcommons.ursinus.edu/grizzlynews/1181/thumbnail.jp

    Mommy Pass the Potatoes Please

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    This book was completed for Jan Baker\u27s artists\u27 book class.https://digitalcommons.risd.edu/specialcollections_bookmark_food/1024/thumbnail.jp

    The Grizzly, October 4, 1985

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    Patterns for the Future Begin the Campaign • Rendell Enforces the Death Penalty • Ursinus: A Good Buy • Letters: Alpha Sigma Nu\u27s Pride Comes Through; WVOU Prints a Schedule • Editorial: How About a Little Help From Some Friends? • Homecoming 1957: Not so Different From Now • Alumni Search for Success: Holly Hayer • There was a Resume Workshop Seniors • Voices to be Performed at Ritter • Field Hockey Team: Leaving Teams in the Dust • Grizzlies Overcome a Ten Year Nemesis! • Cross Country Teams Survive Gloria • Homecoming Events Announced • Campus Security Noteshttps://digitalcommons.ursinus.edu/grizzlynews/1146/thumbnail.jp

    An evaluation of different forest cover geospatial data for riparian shading and river temperature modelling

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    Riparian tree planting is increasingly being used as a strategy to shade river corridors and offset the impact of climate change on river temperature. Because the circumstances under which tree planting generates the greatest impact are still largely unknown, researchers are increasingly using process‐based models to simulate the impacts of tree planting (or felling) on river temperature. However, the high‐resolution data on existing riparian tree cover needed to parameterise these models can be difficult to obtain, especially in data‐sparse areas. In this paper, we compare the performance of a river temperature model parameterised with a range of different tree cover datasets, to assess whether tree cover data extracted from readily available GIS databases or coarser (i.e., 2–5 m) digital elevation products are able to generate river temperature simulations approaching the accuracy of higher resolution structure from motion (SfM) or LiDAR. Our results show that model performance for simulations incorporating these data is generally degraded in relation to LiDAR/SfM inputs and that tree cover data from “alternative” sources can lead to unexpected temperature model outcomes. We subsequently use our model to simulate the addition/removal of riparian tree cover from alongside the river channel. Simulations indicate that the vast majority of the “shading effect” is generated by tree cover within the 5‐m zone immediately adjacent to the river channel, a key finding with regards to developing efficient riparian tree planting strategies. These results further emphasise the importance of incorporating the highest possible resolution tree cover data when running tree planting/clearcutting scenario simulations
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