390 research outputs found
A Stellar Conversation with Dr. Bill Sheehan
No full textIncludes descriptive metadata provided by producer in MP3 file: "Rick Chappell, director of Dyer Observatory, talks with Bill Sheehan on
the anniversary of what would have been E.E. Barnard's 150th birthday.
Dr. Sheehan is the author of 'The Immortal Fire Within,' the definitive
biography on Barnard who is one of the world's most famous astronomers.
Dr. Sheehan examines Barnard's life--his humble beginnings, his historic
discoveries, his time at Vanderbilt and his famous photographs of the
Milky Way.
Running and Being: The Total Experience
No full textWritten by the late, beloved Dr. George Sheehan, Running & Being tells of the author\u27s midlife return to the world of exercise, play, and competition, in which he found a world beyond sweat that proved to be a source of great revelation and personal growth. But Running & Being focuses more on life than it does, specifically, on running. It provides an outline for a lifetime program of fitness and joy, showing how the body helps determine our mental and spiritual energies.https://openprairie.sdstate.edu/prairiestriders_pubs/1041/thumbnail.jp
Violence and Restraint: An Interview with Aaron Sheehan-Dean
No full textToday we are speaking with Aaron Sheehan-Dean, Fred C. Frey Professor of Southern Studies at Louisiana State University and the Chair of LSU’s History Department. He teaches courses on nineteenth-century U.S. history, the Civil War and Reconstruction, and southern History. He is the author of Why Confederates Fought: Family and Nation in Civil War Virginia (UNC Press, 2007), Concise Historical Atlas of the U.S. Civil War (Oxford University Press, 2008), and is the editor of several other volumes. His most recent book, The Calculus of Violence: How Americans Fought the Civil War, was released by Harvard University Press in Fall, 2018. [excerpt
Evidence from near-death experience for the existence of consciousness outside the brain
No full textThis paper discusses near-death experience in terms of evidence for consciousness existing outside the brain. The number of near-death experiences has significantly increased over the past few decades due to the advances in defibrillation and CPR techniques. This has made it possible to do Prospective studies in hospitals in an attempt to correlate psychological, physiological and pharmacological causes for near-death experience. Four arguments for evidence of consciousness outside the brain are reviewed and examples from Retrospective studies are given. They are the consistency, reality, paranormal and transformation elements. Retrospective studies provide evidence that near-death experiences have similar elements regardless of demographic data, but the details of the events are not verifiable. Prospective studies carried out in hospitals in Great Britain, America and the Netherlands can confirm through medical records and witnesses that cardiac arrest survivors have conscious experiences during unconsciousness when their brain is dysfunctional. Examples from these studies provide evidence that consciousness exits outside the brain. However, the dying brain hypothesis and the hallucination hypothesis are also looked at as an explanation for these experiences.M.A.L.S.Includes bibliographical referencesby Marianne S Sheeha
Modernism à la Mode: A Presentation on Fashion and Literature
No full textThe Department of English and Communications Studies and the School of Liberal Arts present a panel discussion about fashion and literature with special guest Elizabeth Sheehan, author and professor at Oregon State University.Dr. Elizabeth Sheehan, an assistant professor of English and Women, Gender, and Sexuality Studies at Oregon State University, is the author of Modernism a la Mode: Fashion and the Ends of Literature (Cornell University Press, 2018), and co-editor of Cultures of Femininity in Modern Fashion. She has produced groundbreaking publications on modernism, fashion, feminist theory, race, affect, photography, and magazines.Modernism à la Mode argues that fashion describes why and how literary modernism matters in its own historical moment and ours. Bringing together texts, textiles, and theories of dress, Elizabeth Sheehan shows that writers, including Virginia Woolf, D.H. Lawrence, W.E.B. Du Bois, Nella Larsen, and F. Scott Fitzgerald, turned to fashion to understand what their own stylized works could do in the context of global capital, systemic violence, and social transformation. Modernists engage with fashion as a mood, a set of material objects, and a target of critique, and, in doing so, anticipate and address contemporary debates centered on the uses of literature and literary criticism amidst the supposed crisis in the humanities. A modernist affect with a purpose, no less. By engaging modernism à la mode—that is, contingently, contextually, and in light of contemporary concerns—this book offers an alternative to the often-untenable distinctions between strong or weak, suspicious or reparative, and politically activist or quietist approaches to literature, which frame current debates about literary methodology. As fashion helps us to describe what modernist texts do, it enables us to do more with modernism as a form of inquiry, perception, and critique. Fashion and modernism are interwoven forms of inquiry, perception, and critique, writes Sheehan. It is fashion that puts the work of early twentieth-century writers in conversation with 21st-century theories of emotion, materiality, animality, beauty, and history
George Sheehan on Running to Win: How to Achieve the Physical, Mental, and Spiritual Victories of Running
No full textPractical advice from the renowned athlete and author of Personal Bestshows readers how to achieve the physical, mental, and spiritual rewards of running, from choosing the right shoe to developing mental toughness.https://openprairie.sdstate.edu/prairiestriders_pubs/1328/thumbnail.jp
Colonic perforation in Behçet’s syndrome
No full textAuthor contributions: Authors affliated to the Department of Surgery managed the patient’s diagnosis, surgical treatment and post-operative care and all contributed equally to this paper; Sheehan JJ reported the imaging and Sheahan K reported the histopathology
Porosity Classification and Clustering in Ti-6Al-4V alloy parts fabricated by Additive Manufacturing
No full textThe additive manufacturing of metal alloys by laser powder bed fusion (LPBF), requires the optimisation of powder melting conditions, in order to achieve the desired material properties. Reducing the level of porosity incorporated in the alloy is a key consideration during powder melting. In addition to the overall level of porosity a further consideration is its type (i.e., Gas, Keyhole and Lack of Fusion), as these in-turn can also influence the material properties of the printed alloy. This thesis is focused on the printing of Ti-6Al-4V parts using the Renishaw RenAM 500M, production scale additive manufacturing system. During part printing argon gas is passed over the print bed in order to provide a non-oxidising atmosphere, as well as to remove process byproducts. This study includes an evaluation of the effect of varying the argon gas flow rate on the porosity of the resulting printed alloy. During printing the melting of the alloy part was monitored using optical emission spectroscopy (InfiniAM system) and a correlation was obtained between the in-process emission data obtained from the meltpool and the level of porosity obtained in the printed alloy parts. The latter was determined using both micro-X-ray-computed tomography (XCT) and optical microscopy. The latter examination was based on cross sectional studies of the printed alloy samples. Significantly increased porosity in the alloy was observed when lower argon gas flow rates were used, during printing. Unsupervised machine learning algorithms were applied to data obtained from both the XCT and microscopy examination, to determine if this data could be used to help determine the effect of gas-flow on the type of porosity generated in the printed alloy samples. Based on the clustering of XCT data, a high argon gas flow rate exhibited the largest proportion of pores identified in the build being labelled as ‘gas’ pores, in comparison with those printed at lower Ar flow rates. The ‘Gaussian Mixture Model’ (GMM), unsupervised machine learning technique was found to be effective in clustering of porosity data. This machine learning technique facilitated the quantification of the relative porosity type distribution, within parts printed at the three argon gas flow levels investigated. The use of supervised classification ML algorithms were also applied to a set of
manually labelled porosity data obtained using the cross-sectional microscope images
(using ImageJ). The evaluated algorithms include K-Nearest Neighbour, Logistic
Regression, Naïve Bayes, Multi-Layer Perceptron, Decision Tree Classification,
Support Vector Machine, Gradient Boosting, and Extreme Gradient Boosting. This
multiclass classification was implemented in two separate binary classification
problems, firstly as gas / non-gas, and subsequently the non-gas class were classified
as Lack of Fusion / Keyhole. Through comparison of both Gas Flow dataset cross
validation scores, as well as final Test Set Scores, the classification obtained for gas /
non-gas was determined to be the more accurate, compared with that obtained for
Keyhole / Lack of Fusion classification. It was also found that of the eight supervised
ML approaches evaluated, the Extreme Gradient Boosting Model achieved the most
accurate porosity classification
Hard labour at 35,000 feet: A reconsideration of emotional demands in airline service work
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