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The micropapillary pattern is important to recognize as it has been shown to be associated with more aggressive clinical behavior, ovarian surface involvement, bilaterality, and peritoneal implants4 7 The micropapillae in these tumors have cores containing minimal to absent connective tissue and are lined by cells showing a high nuclear/cytoplasmic ratio (Plate 91) The papillae should be at least 5 times as long as wide and the micropapillary pattern should measure at least 5 mm in one dimension on at least one slide for diagnosis Adequate sampling of ovarian tumors by the pathologist is an essential part of correctly identifying these neoplasms, and it is recommend that at least 1 section/centimeter of maximum tumor diameter be studied Micropapillary serous tumors should be clearly identi ed as such in pathology reports.

parameters are not known, and must be chosen carefully to avoid large systematic errors. It is for the parameter optimization that high-quality network connections are required. Scientists set a simulation running and render and visualize the simulation at a remote visualization engine in a normal way. The scientists would physically pull the DNA through the membrane pore using either a conventional mouse or a haptic force feedback device. The applied force would be computed in the visualization engine, which would then send an update back to the simulation for inclusion in the next time-step. A two-way communication path resulted, i.e., the pulling force update being sent from visualizer to simulation and the simulation being sent to the visualizer at each time step. Early investigations showed that the quality of the network connection had a significant effect. In one situation simulation was as the CSAR (Computer Services for Academic Research) facility in Manchester and visualization was at University College London. When a dedicated 500-bps link was used the simulation ran 25% faster than when the production network was used.

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Approximately 20% to 30% of serous LMP tumors will be found to have peritoneal implants at the time of initial surgery These implants are classi ed by the pathologist as noninvasive, noninvasive desmoplastic, or invasive based on histologic clues Accurate classi cation of implants can be particularly dif cult, especially for those lacking underlying normal tissue in the biopsy (therefore, the gynecologic surgeon is encouraged to excise peritoneal implants rather than take a biopsy of lesions) Tumor invasion of underlying tissue is the most important adverse prognostic feature, and these tumors behave as well-differentiated.

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For large m, this sum approaches the desired integral. Figure 5.1 gives the Bayes predictive density computed as in (5.12). The solid line in the gure is the predictive distribution, the posterior mean of fT (t| ). The two dashed lines are the 5% and 95% pointwise prediction bounds. Figure 5.2 gives a histogram of posterior samples with the MLE indicated by a vertical line. In general, we do not know fZ (z| ) in (5.7). In this case, we use the saddlepoint approximation f Z (z| ) of (3.19) in place of fZ (z| ). Practically, this involves generating a random sample of values from the posterior and performing the following computations for each value: 1. Convert the owgraph MGF, MZ| (s), to a density using the saddlepoint approximation for each value z of Z at which the density is desired. 2. Treat each density as a vector of values (evaluated at each value z in computation 1) indexed by j . 3. For each z value, average the densities over the values to give f Z (z|D) =

The default nice value is 0. You can use the nice command to run a process at a higher or lower priority than the default. The priority number can range from 20 (most favorable scheduling priority) to 19 (least favorable scheduling priority). Although the root user can raise or lower any user s nice value, a regular user can only lower the priorities of a process (setting a higher nice value). WARNING! Proceed with caution when assigning negative nice values to processes. This can possibly crash your machine if critical system processes lose their high priority.

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