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Seeing Is Disbelieving: Why People Believe Misinformation in War, and When They Know Better
No full texthttps://aquila.usm.edu/katrinagulfcoast_photos/1115/thumbnail.jp
Falsehoods Fly: Why Misinformation Spreads and How to Stop It
No full texthttps://aquila.usm.edu/katrinagulfcoast_photos/1125/thumbnail.jp
Toward a More Accountable and Inclusive Vision of Health Ethics: Navigating Complexity in Contemporary Clinical Practice
Full text linkEditor\u27s introduction to Vol. 21, No. 1 of the Journal of Health Ethics
Capacity Determination and False Beliefs: A Case Study on the Application of Evaluation Frameworks with Resulting Recommendations
Full text linkFalse beliefs may interfere with medical decision-making by casting doubt about the patient’s decision-making capacity. The latter is typically assessed against a set of established criteria requiring the patient’s cognitive aptness for self-governance. I argue that a capacity determination solely based on these criteria may prove insufficient when the patient entertains false beliefs. I further illustrate how alternative evaluation frameworks are better suited to assess the impact of false beliefs on the patient’s state of mind, values, overall worldviews and pursuit of wellbeing, and therefore, for the actual moral significance of false beliefs. It appears prudent to integrate these alternative evaluation approaches into the capacity determination in order to achieve a comprehensive assessment and safeguard the patient’s autonomy and protection under the beneficence and solidarity principles
Mississippi Libraries Volume 87, Number 1 and 2
Full text linkComplete issue of Vol. 87, Nos. 1 and 2 of Mississippi Librarie
Globally Adaptive Exponential Integrators for Stiff Systems of ODEs
Full text linkThis thesis introduces a novel method for solving systems of Ordinary Differential Equations (ODEs) resulting from the spatial discretization of Partial Differential Equations (PDEs). The proposed approach builds upon an existing technique that employs Krylov projection, which requires evaluating a matrix function at each timestep. The innovation of the new method lies in its reuse strategy, which shifts the perspective from direct matrix function evaluation to polynomial interpolation. Numerical experiments conducted on constant and variable coefficient heat equations, with both smooth and discontinuous initial data, demonstrate the computational time advantage of the new approach. The results indicate that this method is promising and warrants further investigation