Solitary plasmacytoma of the skull is very rare, and only a few cases have been reported in the literature. It remains controversial whether solitary plasmacytoma of the skull is essentially identical with solitary plasmacytoma of bone or not. Solitary plasmacytoma of bone including solitary plasmacytoma of the skull is characterized by a radiologically solitary bone lesion, neoplastic plasma cells in the biopsy specimen, fewer than 5% plasma cells in bone marrow, <2.0 g/dl monoclonal protein in the serum when present and negative urine test for Bence Jones protein (monoclonal light chain). We report one case of a 70-year-old woman who referred to our hospital because of a progressive left parietal swelling. On clinical examination, a painless large soft mass in the right parietal region was observed. Computed tomography revealed an extra-axial mass in the in the left frontoparietal region. The lesion was totally excised despite the bleeding tendency. Histology disclosed the presence of a plasmacytoma. On follow-up examination, 7 months later no tumor recurrence or evidence of multiple myeloma was detected.

Software project effort estimation is one of the important aspects of software engineering. Researchers in this area are still striving hard to come out with the best predictive model that has befallen as a greatest challenge. In this work, the effort estimation for small-scale visualization projects all rendered on engineering, general science, and other allied areas developed by 60 postgraduate students in a supervised academic setting is modeled by three approaches, namely, linear regression, quadratic regression, and neural network. Seven unique parameters, namely, number of lines of code (LOC), new and change code (N&C), reuse code (R), cumulative grade point average (CGPA), cyclomatic complexity (CC), algorithmic complexity (AC), and function points (FP), which are considered to be influential in software development effort, are elicited along with actual effort. The three models are compared with respect to their prediction accuracy via the magnitude of error relative to the estimate (MER) for each project and also its mean MER (MMER) in all the projects in both the verification and validation phases. Evaluations of the models have shown MMER of 0.002, 0.006, and 0.009 during verification and 0.006, 0.002, and 0.002 during validation for the multiple linear regression, nonlinear regression, and neural network models, respectively. Thus, the marginal differences in the error estimates have indicated that the three models can be alternatively used for effort computation specific to visualization projects. Results have also suggested that parameters such as LOC, N&C, R, CC, and AC have a direct influence on effort prediction, whereas CGPA has an inverse relationship. FP seems to be neutral as far as visualization projects are concerned.

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A polygon cutting attachment has been designed, developed and installed in the existing computer numerical control (CNC) turning center using conceptual design. The working of polygon cutting attachment is checked by performing some machining operation. Thus the CNC turning center becomes multifunctional and flexible for performing turning operations as well as milling operations like polygon profile cutting with presently developed attachment. The attachment is compact, detachable, portable unit and is capable of doing many operations that requires special purpose machines. This powered, variable speed precision tool attachment can be mounted in any position on the turret, table, ram of CNC turning center. Thus with two directional feed table, the attachment becomes complete precision machine tool for CNC turning center.