Dipyridamole (DPM) enhanced the sensitivity of human ovarian carcinoma 2008 cells to etoposide (VP-16) producing a 5.5-fold reduction in 50% inhibitory concentration at a DPM concentration of 20 microM. This interaction was shown to be truly synergistic by isobologram and median effect analysis. DPM increased the steady-state VP-16 content of 2008 cells; a DPM concentration of 4 microM increase...

UNLABELLED Dragon Promoter Mapper (DPM) is a tool to model promoter structure of co-regulated genes using methodology of Bayesian networks. DPM exploits an exhaustive set of motif features (such as motif, its strand, the order of motif occurrence and mutual distance between the adjacent motifs) and generates models from the target promoter sequences, which may be used to (1) detect regions in a...

Herpes simplex virus (HSV) thymidine kinase (TK) has been demonstrated to be important for reactivation from latency. Specifically, HSV latency-associated transcripts (LAT) are expressed during latent infection established by TK-negative (TK-) HSV mutants, but reactivation is minimal. TK- HSV, however, readily reactivated in the presence of exogenous thymidine (TdR) in explant medium [Tenser et...

The Dirichlet Process mixture (DPM) model is a popular nonparametric Bayesian tool for modeling unknown distributions through mixtures of components. Integrating out the latent location variables in a DPM model leads to a product partition model. This paper describes a modefinding algorithm which quickly finds either the maximizer of the partition posterior or the maximizer of the partition lik...

Future considerations would include ne tuning the latent SVM used to train the DPM, using stacked autoencoders to learn more complex feature representations, and optimize runtime of training algorithm to allow for larger training sets. Acknowledgements Special thanks to Professor Andrew Ng and Adam Coates for the advice they provided through the course of this project. Given its performance in ...

In this paper we compare systematically the two-component Dual Parton Model (DPM) event generator Dpm-jet-III to d-Au and p–p data from RHIC. In this process we are able to improve the model. The need for fusion of chains and a recalibration of the model to obtain collision scaling in h-A and d-A collisions was found already in previous comparisons. Here, comparing to transverse momentum distri...

Understanding how memory is formed requires looking beyond the genes involved to the neural circuitry and temporal aspects of memory. In this dissertation I have focused my investigation on Dorsal Paired Medial (DPM) neurons, two modulatory neurons essential for memory in Drosophila. DPM neurons highly express the amnesiac (amn) gene, which encodes for a putative pre-pro-neuropeptide. amn funct...

Facial feature detection is considered an important computer vision task that is used for many real world applications. Current advancements in computer vision have come up with many proposed facial feature detection approaches, such as Deformable Parts Model (DPM), that provide good accuracy in the detection of key facial features, but mainly in frontal poses. When presented with side profile ...

An experimental and theoretical study was undertaken for three ether glycols (mixtures of isomers). The present paper, being the first part a complex study, reports using static apparatus, namely, vapor–liquid equilibria dipropylene glycol methyl (DPM), n-butyl (DPnB), propylene (PnB), their pseudo-binary mixtures composed (PnB + DPM), (DPM DPnB), aqueous solutions each ether. explored temperat...