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Too Many or Too Few? Information Cues in Recommender Systems and Consequences for Search and Purchase Behavior
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Women Living with a Traumatic Brain Injury in Prison; Self- and Public Stigma
Get PDFTraumatic brain injury has been referred to as a silent epidemic in correctional services and little is known about how women with traumatic brain injury experience stigma and the possible intersects of this with other aspects of their lives. This study explored the experience of women in prison living with a traumatic brain injury and the impact of internalized/self-stigma and stigma in the prison context (public stigma). Thirteen women in prison took part in semi-structured interviews. Three themes were generated through reflexive thematic analysis. The first two – psychological distress of living with a traumatic braininjury in prison and living in the system with invisible disability – set out contexts of self- and public stigma of traumatic brain injury, intersecting with the stigma of being a woman in prison and with trauma histories relating to injury cause.These are underpinned by the third theme, wanting to be understood. Self-stigma of women in prison with a traumatic brain injury is a barrier to support seeking and intersects with difficulties in talking about the traumatic circumstancesthat led to the injuries. Systemic responses to traumatic brain injury and trauma for women in prison are required to support risk reduction and mental health recovery
A thematic analysis of the factors that influence feelings of value:perspectives from employees working in special needs education
Get PDFA Comparative Analysis of Machine Learning Based Power Flow Study with Custom Made Open Source Python Codes
Get PDFPower flow analysis is a cornerstone of power system planning and operation, involving the solution of nonlinear equations to determine the steady-state operating conditions of the power grid. Traditionally, these equations are solved using iterative methods, which, despite their accuracy, are computationally intensive, may not converge to the solution and involve high time and space complexity. The challenges above can be overcome using Machine Learning (ML). Consequently, in this paper, a comprehensive comparative analysis of different ML algorithms developed for solving the power flow equations are presented. Experimental simulations for IEEE 3-bus and IEEE 118-bus networks have been conducted using custom-developed, open-source Python codes and technical insights are highlighted
French Nineteenth-Century Art Writing as Audio Description: the case of Edouard Manet
Get PDFThis chapter compares the ‘traditional’ audio description of Edouard Manet’s 1863 masterpiece Olympia with descriptions of the painting by 19th-century French critics made when it was first put on public display in Paris in 1865. This comparison suggests that descriptions that include references to artistic techniques, personal opinion, and the various ways a beholder looks at and responds to a work of art produce a more engaging and evocative audio description than the supposedly objective and neutral texts that are recommended by best practice guides. By embracing the plurality of responses to a painting, and acknowledging that different people view paintings in different ways, this chapter advocates for a more creative approach to audio description that might better capture the experience of being moved by a work of art
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