Abstract: A method is described for achieving resolutions beyond the resolution of a diagnostic imaging using multilevel computational analysis. This is accomplished by coupling the diagnostic image with images obtained at higher resolutions or with physiological models constructed at size scales beyond the resolution of the original diagnostic image. Using a discretization function, the image data or models are converted or generated so that they can be processed by a multilevel computational analysis function. The multilevel analysis then mathematically couples the models across two or more length scales generating parameters of interest at each level of analysis. A post-processing function provides the interface for the user to view the parameters of interest in the model derived from the original diagnostic image and/or the image itself and then “zoom-in” to a region by accessing the higher resolution image and/or model associated with it and viewing the parameters of interest.

Abstract: An apparatus and a method configure lithographic plates by cutting corners and bending edges in preparation for use in web offset printing. The lithographic plate is precisely aligned and immobilized on a support bed, which has bending anvils at opposing edges of the bed. A corner die cutter advances into position above a corner of the plate, cuts a corner of the plate and then retracts. An eccentric camming member for bending the plate edges has full bearing supporting ends and additional bearings intermediate the ends. The eccentric camming members lower to the plate and rotate within their bearings to form bends of selected angles in opposing edges of the plate. The eccentric camming members are then counter rotated and raised to their position above the plate. The movements of the corner die cutter and the eccentric camming member are precisely sequenced with each other by programmable logic control.

Abstract: Prefetches to a cache memory subsystem are made from predictions which are based on access patterns stored by context. An access pattern is generated from prior accesses of a data processing system processing in a like context. During a training sequence, an actual trace of memory accesses is processed to generate unit patterns which serve in making future predictions and to identify statistics such as pattern accuracy for each unit pattern. In a replacement list, prefetched objects are included at the head of the list. Within a prefetch, objects are listed by order of expected time of access, with alternatives at predicted times of access. When an object is used, it is moved to the head of the list and any prefetched alternatives to that object, indicated by like time marks, are moved to the tail of the list. Alternatives may be listed according to degree of match of a current access pattern and a stored access pattern and by prior accuracy of the unit pattern.