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Body donor programs rely on the generosity and trust of the public to facilitate the provision of cadaver resources for anatomical education and research. The uptake and adoption of emerging technologies, including those allowing the acquisition and distribution of images, are becoming more widespread, including within anatomical science education. Images of cadavers are useful for research and education, and their supply and distribution have commercial potential for textbooks and online education. It is unclear whether the utilization of images of donated cadavers are congruent with donor expectations, societal norms and boundaries of established public understanding. Presently, no global "best practices" or standards exist, nor is there a common model requiring specific image-related consent from body donors. As ongoing success of body donation programs relies upon the ethical and institutional governance of body utilization to maintain trust and a positive relationship with potential donors and the community, discussions considering the potential impact of image misuse are important. This paper discusses the subject of images of donated cadavers, commenting on images in non-specific use, education, research, and commercial applications. It explores the role and significance of such images in the context of anatomical science and society, and discusses how misuse - including unconsented use - of images has the potential to affect donor program success, suggesting that informed consent is currently necessary for all images arising from donated cadavers. Its purpose is to encourage discussion to guide responsible utilization of cadaver images, while protecting the interests of body donors and the public.

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This paper describes the GridPACK TM framework, which is designed to help power grid engineers develop modeling software capable of running on high performance computers. The framework makes extensive use of software templates to provide high level functionality while at the same time allowing developers the freedom to express whatever models and algorithms they are using. GridPACK TM contains modules for setting up distributed power grid networks, assigning buses and branches with arbitrary behaviors to the network, creating distributed matrices and vectors and using parallel linear and non-linear solvers to solve algebraic equations. It also provides mappers to create matrices and vectors based on properties of the network and functionality to support IO and to manage errors. The goal of GridPACK TM is to substantially reduce the complexity of writing software for parallel computers while still providing efficient and scalable software solutions. The use of GridPACK TM is illustrated for a simple powerflow example and performance results for powerflow and dynamic simulation are discussed.

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