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This paper describes a case study at an automotive company with the purpose ov developing an economically based decision support tool, for strategic decision about wheather to chose grinding or shaving as a finishing method in gear manufacturing. In the study different cost models are compared regarding input parameters in alignment with the required input data required to make a decision. With th
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We present a novel architecture for flexible control of shading rates in a GPU pipeline, and demonstrate substantially reduced shading costs for various applications. We decouple shading and visibility by restricting and quantizing shading rates to a finite set of screen-aligned grids, leading to simpler and fewer changes to the GPU pipeline compared to alternative approaches. Our architecture int
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This paper presents the concepts of model-based course assessments. This involves a mathematical model to define the grading scheme of a course, based on a set of items to be scored. We report lessons learned from using this approach. An important conclusion is that model-based assessment promotes clear definitions of assessment criteria.
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Objectives: This study explores how different combinations of the number of diseases and experienced symptoms are related to life satisfaction in a population of 296 eighty-year-olds in southern Sweden. Methods: Three different models, visualizing different health profiles, in the form of reported number of diseases and number of experienced symptoms in different combinations were created and are