The Visible and the Invisible Hilary Mantel

This talk addresses the scarcity of critical material on Hilary Mantel’s writing in the academy. It questions the suitability of the ‘origin’ paradigm within the criticism that is available, which closes off the excess of Mantel’s texts through attempts to ‘unite’ her corpus. The ambiguity of her writing, and its suspicions, suggest Jacques Derrida’s thought as a pertinent means to read the differences in her work differently. The proximity of Jean-Luc Nancy’s philosophy with Derrida’s thought allows the significance of ellipsis to surface as a liberating catalyst for weaving the implications of Derrida’s thinking through the writing of Mantel. This synthesis constitutes an original combination because Mantel’s writing has not been closely studied, Derrida’s notion of ellipsis has been eclipsed by philosophy, and the combination of these two ‘invisibilities’ is seminal. The talk begins with an exploration of the mythologies I discovered and interrogated during the course of my thesis. It then considers the key points in Mantel’s writing career. In particular taking her from the difficulty and invisibility of 1979 when A Place of Greater Safety, her first novel, was rejected, to winning the Booker prize twice in succession in 2009 and 2012. It thereby traces the story of her shift from invisible to infamous, in terms of her treatment by the mainstream British media as well as her phenomenal post-millennium success.

An Integrated Soft Computing Approach to Hughes Syndrome Risk Assessment

The AntiPhospholipid Syndrome (APS) is an acquired autoimmune disorder induced by high levels of antiphospholipid antibodies that cause arterial and veins thrombosis, as well as pregnancy-related complications and morbidity, as clinical manifestations. This autoimmune hypercoagulable state, usually known as Hughes syndrome, has severe consequences for the patients, being one of the main causes of thrombotic disorders and death. Therefore, it is required to be preventive; being aware of how probable is to have that kind of syndrome. Despite the updated of antiphospholipid syndrome classification, the diagnosis remains difficult to establish. Additional research on clinically relevant antibodies and standardization of their quantification are required in order to improve the antiphospholipid syndrome risk assessment. Thus, this work will focus on the development of a diagnosis decision support system in terms of a formal agenda built on a Logic Programming approach to knowledge representation and reasoning, complemented with a computational framework based on Artificial Neural Networks. The proposed model allows for improving the diagnosis, classifying properly the patients that really presented this pathology (sensitivity higher than 85%), as well as classifying the absence of APS (specificity close to 95%).