Aggressive angiomyxoma in pregnancy: A rare and commonly misdiagnosed entity.

Aggressive angiomyxoma (AAM) is an uncommon mesenchymal tumor that predominantly involves the pelvis and perineum of young females. It is often clinically mistaken for more common superficial lesions such as vaginal cysts, labial cysts, and lipomas. A review of the medical literature reveals very few cases of AAM reported in pregnancy. We describe a rare case of AAM in pregnancy, clinically misdiagnosed as prolapsed cervical fibroid.

Application of accelerated molecular dynamics schemes to the production of amorphous silicon.

The evolving nature of a Stillinger-Weber modeled silicon glass is studied using two accelerated molecular dynamics scheme, specifically, hyperdynamics and self-guided algorithms due to Voter and due to Wu and Wang, respectively. We obtain an acceleration of the dynamics, a "boost," on the order of 20 without incurring any significant computational overhead. The validity of the results using accelerated methods is provided by comparison to a conventional molecular dynamics (MD) algorithm simulated under constant temperature conditions for more than 100 ns. We found that performing a sensitivity analysis of the effect of the parameters lambda and t1 before applying the self-guided MD scheme was important. Values of lambda greater than 0.1 and t1 equal to 1 ps were found to give improved structural evolution as compared to a conventional MD scheme. The hyperdynamics approximation scheme was found to be effective in obtaining boosts in the range of 4-12 for a small system without changing the dynamics of the evolution. However, for a large system size such an approach introduces significant perturbations to the pertinent equations of motion.

Characterizing the nature of virtual amorphous silicon.

Virtual samples of approximations to real amorphous silicon, a-Si, have been prepared using several different processing routes. These include a fast quench from the melt followed by a long slow annealing period using molecular dynamics, a Reverse Monte Carlo approach, and an ab initio minimization. The characterization of these virtual a-Si samples includes a consideration of structural data (the radial distribution function, angular order, etc.), electronic properties (through the density of states), and thermodynamic information (chiefly the nature of the phase transformation from a-Si to liquid). The properties of a-Si are compared to network models, via the continuous random network model, and to experiment. We investigated the stability of virtual a-Si and consider its implications for use in future simulation studies. We have demonstrated the necessity for the accuracy provided by ab initio-based models to describe the interatomic potentials. Throughout this study, we have monitored the role of order in determining physical properties, as characterized by traditional routes (such as angular correlations) and more novel ones (the signature cell method).