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Disk space, input/output (I/O) speed, and data-transfer bandwidth present a major bottleneck in large-scale molecular dynamics simulations, which require storing positions and velocities of multimillion atoms. A data compression algorithm is designed for scalable I/O of molecular dynamics data. The algorithm uses octree indexing and sorts atoms accordingly(More)
Caspases and inhibitor of apoptosis proteins (IAPs) are antagonizing key apoptosis regulators. Limited studies of a few IAPs indicated their roles in astrocytomas. However, the overall expression status and significance of apoptosis regulators in astrocytomas is not clear. We examined the expression profile of the caspases (CASP3, 6, 7, 8, 9, 10, and 14),(More)
Esophageal squamous cell carcinoma (ESCC) is an aggressive tumor with high incidence and mortality worldwide. Diallyl disulfide (DADS) is a natural organosulfur compound, isolated from garlic. In this study, MTT assay showed that DADS significantly reduced cell viability in a dose- and time-dependent manner in ESCC cells, with lower toxicity in normal liver(More)
We have developed a visualization system, named Atomsviewer, to render a billion atoms from the results of a molecular dynamics simulation. This system uses a hierarchical view frustum culling algorithm based on the octree data structure to efŽciently remove atoms that are outside of the Želd of view. A novel occlusion culling algorithm, using a probability(More)
Diallyl disulfide (DADS) is a natural organosulfur compound isolated from garlic. DADS has various biological properties, including anticancer, antiangiogenic, and antioxidant effects. However, the anticancer mechanisms of DADS in human esophageal carcinoma have not been elucidated, especially in vivo. In this study, MTT assay showed that DADS significantly(More)
Parallel molecular dynamics (MD) simulations are performed to investigate pressure-induced solid-to-solid structural phase transformations in cadmium selenide (CdSe) nanorods. The effects of the size and shape of nanorods on different aspects of structural phase transformations are studied. Simulations are based on interatomic potentials validated(More)
An instantaneously trained artificial neural network schema is used to improve the interactive speed in very large scale scientific visualization. An instant learning algorithm is adopted to reduce the training time for user behavior analysis in billion-particle walkthrough on an SGI Onyx2 graphics server connected to a PC cluster.
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